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- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:fish:252549 (Bivibranchia bimaculata). Raw Dataset includes 1601 TIF images (each 630 x 347 x 1 voxel at 0.04505992 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:fish:252549 (Bivibranchia bimaculata). Reconstructed Dataset includes 2000 TIF images (each 630 x 347 x 1 voxel at 0.045060 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Actinopterygii, Characiformes, Hemiodontidae, Bivibranchia bimaculata, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- DiceCT for Fishes: Recommendations for pairing iodine contrast agents with μCT to visualize soft tissues in fishes https://doi.org/10.1111/jfb.15320
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:fish:252549 (Bivibranchia bimaculata). Raw Dataset includes 2401 TIF images (each 521 x 643 x 1 voxel at 0.04052231 mm resolution, derived from 2401 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:fish:252549 (Bivibranchia bimaculata). Reconstructed Dataset includes 1970 TIF images (each 521 x 643 x 1 voxel at 0.040522 mm resolution, derived from 2401 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Actinopterygii, Characiformes, Hemiodontidae, Bivibranchia bimaculata, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- DiceCT for Fishes: Recommendations for pairing iodine contrast agents with μCT to visualize soft tissues in fishes https://doi.org/10.1111/jfb.15320
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:fish:252549 (Bivibranchia bimaculata). Raw Dataset includes 2401 TIF images (each 374 x 555 x 1 voxel at 0.03162589 mm resolution, derived from 2401 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:fish:252549 (Bivibranchia bimaculata). Reconstructed Dataset includes 1729 TIF images (each 374 x 555 x 1 voxel at 0.031626 mm resolution, derived from 2401 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Actinopterygii, Characiformes, Hemiodontidae, Bivibranchia bimaculata, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- DiceCT for Fishes: Recommendations for pairing iodine contrast agents with μCT to visualize soft tissues in fishes https://doi.org/10.1111/jfb.15320
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:fish:252559 (Cyphocharax fowleri). Raw Dataset includes 1801 TIF images (each 544 x 834 x 1 voxel at 0.03868037 mm resolution, derived from 1801 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:fish:252559 (Cyphocharax fowleri). Reconstructed Dataset includes 2000 TIF images (each 544 x 834 x 1 voxel at 0.038680 mm resolution, derived from 1801 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Actinopterygii, Characiformes, Curimatidae, Cyphocharax fowleri, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- DiceCT for Fishes: Recommendations for pairing iodine contrast agents with μCT to visualize soft tissues in fishes https://doi.org/10.1111/jfb.15320
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:fish:252549 (Bivibranchia bimaculata) - Skull. Reconstructed Dataset includes 1851 TIF images (each 1221 x 1165 x 1 voxel at 0.016589 mm resolution, derived from 2401 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:fish:252549 (Bivibranchia bimaculata) - Skull. Raw Dataset includes 2401 TIF images (each 1221 x 1165 x 1 voxel at 0.01658923 mm resolution, derived from 2401 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Actinopterygii, Characiformes, Hemiodontidae, Bivibranchia bimaculata, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- DiceCT for Fishes: Recommendations for pairing iodine contrast agents with μCT to visualize soft tissues in fishes https://doi.org/10.1111/jfb.15320
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:fish:252559 (Cyphocharax fowleri) - Skull. Reconstructed Dataset includes 1217 TIF images (each 1433 x 1028 x 1 voxel at 0.017592 mm resolution, derived from 1801 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:fish:252559 (Cyphocharax fowleri) - Skull. Raw Dataset includes 1801 TIF images (each 1433 x 1028 x 1 voxel at 0.01759157 mm resolution, derived from 1801 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Actinopterygii, Characiformes, Curimatidae, Cyphocharax fowleri, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- DiceCT for Fishes: Recommendations for pairing iodine contrast agents with μCT to visualize soft tissues in fishes https://doi.org/10.1111/jfb.15320
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:fish:252549 (Bivibranchia bimaculata). Reconstructed Dataset includes 2000 TIF images (each 888 x 988 x 1 voxel at 0.029451 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:fish:252549 (Bivibranchia bimaculata). Raw Dataset includes 1601 TIF images (each 888 x 988 x 1 voxel at 0.02945109 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Actinopterygii, Characiformes, Hemiodontidae, Bivibranchia bimaculata, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- DiceCT for Fishes: Recommendations for pairing iodine contrast agents with μCT to visualize soft tissues in fishes https://doi.org/10.1111/jfb.15320
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:fish:252706 (Eigenmannia viricens). Raw Dataset includes 1801 TIF images (each 637 x 456 x 1 voxel at 0.05305043 mm resolution, derived from 1801 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:fish:252706 (Eigenmannia viricens). Reconstructed Dataset includes 1945 TIF images (each 637 x 456 x 1 voxel at 0.053050 mm resolution, derived from 1801 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Actinopterygii, Gymnotiformes, Sternopygidae, Eigenmannia viricens, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- DiceCT for Fishes: Recommendations for pairing iodine contrast agents with μCT to visualize soft tissues in fishes https://doi.org/10.1111/jfb.15320
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:fish:216417 (Acarichthys heckeli (Müller & Troschel, 1849)). Raw Dataset includes 2401 TIF images (each 632 x 853 x 1 voxel at 0.02187606 mm resolution, derived from 2401 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:fish:216417 (Acarichthys heckeli (Müller & Troschel, 1849)). Reconstructed Dataset includes 1972 TIF images (each 632 x 853 x 1 voxel at 0.021876 mm resolution, derived from 2401 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Perciformes, Cichlidae, Acarichthys heckeli (Müller & Troschel, 1849), 1889117016, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1889117016 and DiceCT for Fishes: Recommendations for pairing iodine contrast agents with μCT to visualize soft tissues in fishes https://doi.org/10.1111/jfb.15320
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen UMMZ:herps:130609 (PHAEOGNATHUS HUBRICHTI) - WholeBody. Raw Dataset includes 1601 TIF images (each 373 x 372 x 1 voxel at 0.1000025 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen UMMZ:herps:130609 (PHAEOGNATHUS HUBRICHTI) - WholeBody. Reconstructed Dataset includes 2000 TIF images (each 373 x 372 x 1 voxel at 0.100002 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Amphibia, CAUDATA, PLETHODONTIDAE, PHAEOGNATHUS HUBRICHTI, 1987157237, computed tomography, X-ray, and 3D
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987157237
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:herps:177463 (LEIOPELMA HOCHSTETTERI) - WholeBody. Reconstructed Dataset includes 2000 TIF images (each 506 x 1232 x 1 voxel at 0.026167 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:herps:177463 (LEIOPELMA HOCHSTETTERI) - WholeBody. Raw Dataset includes 3141 TIF images (each 506 x 1232 x 1 voxel at 0.02616705 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Amphibia, ANURA, LEIOPELMATIDAE, LEIOPELMA HOCHSTETTERI, 1987038228, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987038228
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen UMMZ:herps:130609 (PHAEOGNATHUS HUBRICHTI) - Skull. Raw Dataset includes 1601 TIF images (each 1324 x 1087 x 1 voxel at 0.01110375 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen UMMZ:herps:130609 (PHAEOGNATHUS HUBRICHTI) - Skull. Reconstructed Dataset includes 1951 TIF images (each 1324 x 1087 x 1 voxel at 0.011104 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Amphibia, CAUDATA, PLETHODONTIDAE, PHAEOGNATHUS HUBRICHTI, 1987157237, computed tomography, X-ray, and 3D
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987157237
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:herps:246849 (THAMNODYNASTES PALLIDUS) - Skull. Raw Dataset includes 1601 TIF images (each 1416 x 914 x 1 voxel at 0.0150099083890765 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:herps:246849 (THAMNODYNASTES PALLIDUS) - Skull. Reconstructed Dataset includes 654 TIF images (each 1416 x 914 x 1 voxel at 0.015010 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Reptilia, OPHIDIA, COLUBRIDAE, THAMNODYNASTES PALLIDUS, 1987213257, computed tomography, X-ray, and 3D
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987213257
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:herps:177463 (LEIOPELMA HOCHSTETTERI) - WholeBody. Reconstructed Dataset includes 2000 TIF images (each 659 x 1423 x 1 voxel at 0.023619 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:herps:177463 (LEIOPELMA HOCHSTETTERI) - WholeBody. Raw Dataset includes 1601 TIF images (each 659 x 1423 x 1 voxel at 0.02361855 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Amphibia, ANURA, LEIOPELMATIDAE, LEIOPELMA HOCHSTETTERI, 1987038228, computed tomography, X-ray, and 3D
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987038228
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:herps:90288 (SEPSINA TETRADACTYLA) - WholeBody. Reconstructed Dataset includes 1983 TIF images (each 241 x 360 x 1 voxel at 0.053454 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:herps:90288 (SEPSINA TETRADACTYLA) - WholeBody. Raw Dataset includes 1601 TIF images (each 241 x 360 x 1 voxel at 0.05345412 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Reptilia, SAURIA, SCINCIDAE, SEPSINA TETRADACTYLA, 1987065539, computed tomography, X-ray, and 3D
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987065539
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:herps:90288 (SEPSINA TETRADACTYLA) - Skull. Reconstructed Dataset includes 1479 TIF images (each 687 x 924 x 1 voxel at 0.010001 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:herps:90288 (SEPSINA TETRADACTYLA) - Skull. Raw Dataset includes 1601 TIF images (each 687 x 924 x 1 voxel at 0.01000145 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Reptilia, SAURIA, SCINCIDAE, SEPSINA TETRADACTYLA, 1987065539, computed tomography, X-ray, and 3D
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987065539
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:herps:116965 (CHRYSOPELEA PARADISI) - WholeBody. Reconstructed Dataset includes 2000 TIF images (each 2000 x 846 x 1 voxel at 0.049512 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:herps:116965 (CHRYSOPELEA PARADISI) - WholeBody. Raw Dataset includes 1601 TIF images (each 2000 x 846 x 1 voxel at 0.04951242 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Reptilia, OPHIDIA, COLUBRIDAE, CHRYSOPELEA PARADISI, 1987085793, computed tomography, X-ray, and 3D
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987085793
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:herps:116965 (CHRYSOPELEA PARADISI) - Skull. Raw Dataset includes 1601 TIF images (each 760 x 1231 x 1 voxel at 0.01844824 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:herps:116965 (CHRYSOPELEA PARADISI) - Skull. Reconstructed Dataset includes 751 TIF images (each 760 x 1231 x 1 voxel at 0.018448 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Reptilia, OPHIDIA, COLUBRIDAE, CHRYSOPELEA PARADISI, 1987085793, computed tomography, X-ray, and 3D
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987085793
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:herps:181698 (CHRYSOPELEA PARADISI) - WholeBody. Raw Dataset includes 1601 TIF images (each 1703 x 1701 x 1 voxel at 0.03202086 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:herps:181698 (CHRYSOPELEA PARADISI) - WholeBody. Reconstructed Dataset includes 1402 TIF images (each 1703 x 1701 x 1 voxel at 0.032021 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Reptilia, OPHIDIA, COLUBRIDAE, CHRYSOPELEA PARADISI, 1987124862, computed tomography, X-ray, and 3D
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987124862
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:herps:181698 (CHRYSOPELEA PARADISI) - Skull. Raw Dataset includes 1601 TIF images (each 378 x 682 x 1 voxel at 0.01542104 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:herps:181698 (CHRYSOPELEA PARADISI) - Skull. Reconstructed Dataset includes 927 TIF images (each 378 x 682 x 1 voxel at 0.015421 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Reptilia, OPHIDIA, COLUBRIDAE, CHRYSOPELEA PARADISI, 1987124862, computed tomography, X-ray, and 3D
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987124862
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:herps:246849 (THAMNODYNASTES PALLIDUS) - WholeBody. Raw Dataset includes 1601 TIF images (each 2000 x 2000 x 1 voxel at 0.0327439804971583 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:herps:246849 (THAMNODYNASTES PALLIDUS) - WholeBody. Reconstructed Dataset includes 1240 TIF images (each 2000 x 2000 x 1 voxel at 0.032744 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Reptilia, OPHIDIA, COLUBRIDAE, THAMNODYNASTES PALLIDUS, 1987213257, computed tomography, X-ray, and 3D
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987213257
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen UMMZ:mammals:99103 (Desmodus rotundus) - Skull. Reconstructed Dataset includes 1464 TIF images (each 1443 x 1496 x 1 voxel at 0.023324 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen UMMZ:mammals:99103 (Desmodus rotundus) - Skull. Raw Dataset includes 3141 TIF images (each 1443 x 1496 x 1 voxel at 0.02332415 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Mammalia, Chiroptera, Phyllostomidae, Desmodus rotundus, 1987245972, computed tomography, X-ray, and 3D
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987245972
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen UMMZ:mammals:99103 (Desmodus rotundus) - WholeBody. Reconstructed Dataset includes 2000 TIF images (each 881 x 1326 x 1 voxel at 0.041457 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen UMMZ:mammals:99103 (Desmodus rotundus) - WholeBody. Raw Dataset includes 3141 TIF images (each 881 x 1326 x 1 voxel at 0.04145749 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Mammalia, Chiroptera, Phyllostomidae, Desmodus rotundus, 1987245972, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987245972
- Discipline:
- Science
-
Computed tomography voxel dataset for ummz:mammals:154691-Blarina brevicauda brevicauda-Skull-DiceCT
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:mammals:154691 (Blarina brevicauda brevicauda) - Skull. Reconstructed Dataset includes 1035 TIF images (each 1322 x 910 x 1 voxel at 0.027133 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:154691 (Blarina brevicauda brevicauda) - Skull. Raw Dataset includes 3141 TIF images (each 1322 x 910 x 1 voxel at 0.02713322 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Mammalia, Soricomorpha, Soricidae, Blarina brevicauda brevicauda, 1987241426, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987241426
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen UMMZ:mammals:112964 (Desmodus rotundus) - WholeBody. Raw Dataset includes 3141 TIF images (each 1047 x 1326 x 1 voxel at 0.04145749 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen UMMZ:mammals:112964 (Desmodus rotundus) - WholeBody. Reconstructed Dataset includes 2000 TIF images (each 1047 x 1326 x 1 voxel at 0.041457 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Mammalia, Chiroptera, Phyllostomidae, Desmodus rotundus, 1987291741, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987291741
- Discipline:
- Science
-
Computed tomography voxel dataset for ummz:mammals:154693-Blarina brevicauda brevicauda-Skull-DiceCT
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:mammals:154693 (Blarina brevicauda brevicauda) - Skull. Reconstructed Dataset includes 1219 TIF images (each 1013 x 1693 x 1 voxel at 0.033795 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:154693 (Blarina brevicauda brevicauda) - Skull. Raw Dataset includes 3141 TIF images (each 1013 x 1693 x 1 voxel at 0.03379497 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Mammalia, Soricomorpha, Soricidae, Blarina brevicauda brevicauda, 1987337719, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987337719
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:mammals:166889 (Blarina brevicauda kirtlandi) - WholeBody. Raw Dataset includes 3141 TIF images (each 877 x 1047 x 1 voxel at 0.03681702 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:166889 (Blarina brevicauda kirtlandi) - WholeBody. Reconstructed Dataset includes 1882 TIF images (each 877 x 1047 x 1 voxel at 0.036817 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Mammalia, Soricomorpha, Soricidae, Blarina brevicauda kirtlandi, 1987233799, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987233799
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:mammals:166889 (Blarina brevicauda kirtlandi) - Skull. Raw Dataset includes 3141 TIF images (each 1570 x 1531 x 1 voxel at 0.01919876 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:166889 (Blarina brevicauda kirtlandi) - Skull. Reconstructed Dataset includes 1978 TIF images (each 1570 x 1531 x 1 voxel at 0.019199 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Mammalia, Soricomorpha, Soricidae, Blarina brevicauda kirtlandi, 1987233799, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987233799
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:mammals:154691 (Blarina brevicauda brevicauda) - WholeBody. Raw Dataset includes 3141 TIF images (each 1187 x 834 x 1 voxel at 0.03976336 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:154691 (Blarina brevicauda brevicauda) - WholeBody. Reconstructed Dataset includes 2000 TIF images (each 1187 x 834 x 1 voxel at 0.039763 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Mammalia, Soricomorpha, Soricidae, Blarina brevicauda brevicauda, 1987241426, computed tomography, X-ray, and 3D
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987241426
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen UMMZ:mammals:112964 (Desmodus rotundus) - Skull. Raw Dataset includes 3141 TIF images (each 1554 x 1520 x 1 voxel at 0.02332415 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen UMMZ:mammals:112964 (Desmodus rotundus) - Skull. Reconstructed Dataset includes 1656 TIF images (each 1554 x 1520 x 1 voxel at 0.023324 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Mammalia, Chiroptera, Phyllostomidae, Desmodus rotundus, 1987291741, computed tomography, X-ray, and 3D
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987291741
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:mammals:154693 (Blarina brevicauda brevicauda) - WholeBody. Raw Dataset includes 3141 TIF images (each 1611 x 1121 x 1 voxel at 0.03882457 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:154693 (Blarina brevicauda brevicauda) - WholeBody. Reconstructed Dataset includes 1959 TIF images (each 1611 x 1121 x 1 voxel at 0.038825 mm resolution, derived from 3141 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Mammalia, Soricomorpha, Soricidae, Blarina brevicauda brevicauda, 1987337719, computed tomography, X-ray, 3D, and DiceCT
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987337719
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:mammals:123037 (Tscherskia TRITON) - WholeBody. Raw Dataset includes 1601 TIF images (each 715 x 1288 x 1 voxel at 0.0493711582967448 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:123037 (Tscherskia TRITON) - WholeBody. Reconstructed Dataset includes 2000 TIF images (each 715 x 1288 x 1 voxel at 0.049371 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Mammalia, Rodentia, Cricetidae, Tscherskia TRITON, 1987305166, computed tomography, X-ray, and 3D
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987305166
- Discipline:
- Science
-
- Creator:
- University of Michigan Museum of Zoology
- Description:
- Scan of specimen ummz:mammals:111984 (Handleyomys ALFAROI ALFAROI) - WholeBody. Raw Dataset includes 1601 TIF images (each 815 x 1310 x 1 voxel at 0.0421497172804555 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:111984 (Handleyomys ALFAROI ALFAROI) - WholeBody. Reconstructed Dataset includes 2000 TIF images (each 815 x 1310 x 1 voxel at 0.042150 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
- Keyword:
- Animalia, Chordata, Mammalia, Rodentia, Cricetidae, Handleyomys ALFAROI ALFAROI, 1987286466, computed tomography, X-ray, and 3D
- Citation to related publication:
- For more information on the original UMMZ specimen, see: https://www.gbif.org/occurrence/1987286466
- Discipline:
- Science
-
- Creator:
- Stockbridge, Randy B. and Christian B. Macdonald
- Description:
- This data set includes text files (.csv files) for the bioinformatic annotation of SMR genes found in a dataset of phylogenetically diverse bacterial genomes. Bioinformatic analysis includes genome mining to identify SMR genes, prediction of the functional transporter subtype, and prediction of the direction of insertion in the bacterial membrane. Research overview: This bioinformatic dataset was prepared for a review on the structures, functions, and occurrence of Small Multidrug Resistance (SMR) Transporters. This dataset includes bioinformatic annotation of SMR genes identified in bacterial genomes from the Joint Genome Institute’s curated set of ~1000 Genomic Encyclopedia of Bacteria and Archaea (GEBA) genomes. The file GEBA_SMR_annotation.csv provides NCBI identification information (genome, species and chromosome information, locus tag, translation) and bioinformatic predictions of the SMR subtype and membrane insertion direction for each gene identified in the GEBA genome set. The file GEBA_SMR_species_table.csv has a separate entry for species in the GEBA genome set, along with the bioinformatic prediction of SMR subtype and membrane insertion direction for each SMR gene identified in the genome of that species. Dataset was generated by Christian B. Macdonald and Randy B. Stockbridge (Department of Molecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, MI, 48019) Generation of this dataset was supported by National Institutes of Health grants R35-GM128768 to Randy B. Stockbridge. Use and access: This dataset is provided as a .csv file (comma separated values) and can be read using any text editor or spreadsheet software such as Microsoft Excel.
- Citation to related publication:
- Burata OE, Yeh TJ, Macdonald CB, Stockbridge RB. (2022). Still rocking in the structural era: a molecular overview of the Small Multidrug Resistance transporters. Journal of Biological Chemistry. In press.
- Discipline:
- Science
-
- Creator:
- Lin, Brian T. W.
- Description:
- This footage is an output of a USDOT-funded project titled "Development of Machine-Learning Models for Autonomous Vehicle Decisions on Weaving Sections of Freeway Ramps." It showcases an automated weaving maneuver within an augmented reality environment. During the demonstration, Mcity's automated vehicle navigates through a highway weaving section, making a lane change while interacting with a virtual vehicle. In this instance, Mcity's vehicle was operated by automated driving systems, which executed the lane change based on the detection for external environmental factors and parameter inputs received from the virtual vehicle.
- Discipline:
- Engineering
-
- Creator:
- Chung, Taewon , McClain, Taylor P. , Alonso-Mori, Roberto , Chollet, Matthieu , Deb, Aniruddha , Garcia-Esparza, Angel T. , Huang, Joel Ze En , Lamb, Ryan M. , Michocki, Lindsay B. , Reinhard, Marco , van Driel, Tim B. , Penner-Hahn, James E. , and Sension, Roseanne J.
- Description:
- UV-visible, X-ray absorption, and X-ray emission data used to characterize the dynamics of methyl cobalamin at low pH, so called "base off" configuration. Details of data collection and reduction are provided in the associated manuscript. Data files are all text files which contain tab-delimited columns of data corresponding to each figure in the manuscript
- Keyword:
- Ultrafast, X-ray, Transient absorption, cobalamin, vitamin B12, XAS, and XANES
- Citation to related publication:
- Chung, T., et al. (2024). "Ultrafast X-ray Absorption Spectroscopy Reveals Excited State Dynamics of B12 Coenzymes Controlled by the Axial Base". J. Phys. Chem. B. 2024, in press https://pubs.acs.org/doi/10.1021/acs.jpcb.3c07779
- Discipline:
- Science
-
- Creator:
- Xiantong Wang
- Description:
- Bursty bulk flows (BBFs) are identified as the fast earthward-propagating flows from magnetic reconnection in Earth's magnetotail. BBFs are related to particle energization process reported by satellite observations. For the first time, we use a novel numerical model that simulates kinetic physics directly in a global model. The energization of the electrons associated with BBF is demonstrated by the model. The electron velocity distribution functions (VDFs) extracted from multiple locations associated with BBF demonstrate good agreements with the observations. The energy-dependent electron pitch angle distribution at the leading part of the BBF can be explained by the enhancement of the local magnetic field.
- Discipline:
- Science
-
- Creator:
- Skinner, Katherine A., Vasudevan, Ram, Ramanagopal, Manikandasriram S., Ravi, Radhika, Carmichael, Spencer, and Buchan, Austin D.
- Description:
- This dataset is part of a collection created to facilitate research in the use of novel sensors for autonomous vehicle perception. , The dataset collection platform is a Ford Fusion vehicle with a roof-mounted novel sensing suite, which specifically consists of forward-facing stereo uncooled thermal cameras (FLIR 40640U050-6PAAX), event cameras (iniVation DVXplorer), monochrome cameras (FLIR BFS-PGE-16S2M), and RGB cameras (FLIR BFS-PGE-50S5C) time synchronized with ground truth poses from a high precision navigation system. , Further information and resources (such as software tools for converting, managing, and viewing data files) are available on the project website: https://umautobots.github.io/nsavp , and CHANGE NOTICE (January 2024): We identified an error in our timestamp post-processing procedure that caused all camera timestamps to be offset by the exposure time of one of the cameras. We corrected the error, applied the corrected post-processing, and reuploaded the corrected files. The change impacts all camera data files. Prior to the change, the timestamps between the cameras were synchronized with submillisecond accuracy, but the camera and ground truth pose timestamps were offset by up to 0.4 ms, 3 ms, and 15 ms in the afternoon, sunset, and night sequences, respectively. This amounted in up to ~0.25 meters of position error in the night sequences. For consistency, camera calibration was rerun with the corrected calibration sequence files. The camera calibration results have therefore been updated as well, although they have not changed significantly. Finally, we previously downsampled the frame data in the uploaded calibration seqeuence, but we decided to provide the full frame data in the reupload.
- Keyword:
- novel sensing, perception, autonomous vehicles, thermal sensing, neuromorphic imaging, and event cameras
- Citation to related publication:
- https://sites.google.com/umich.edu/novelsensors2023, https://github.com/umautobots/nsavp_tools, and https://umautobots.github.io/nsavp
- Discipline:
- Engineering
-
- Creator:
- Skinner, Katherine A., Vasudevan, Ram, Ramanagopal, Manikandasriram S., Ravi, Radhika, Carmichael, Spencer, and Buchan, Austin D.
- Description:
- This dataset is part of a collection created to facilitate research in the use of novel sensors for autonomous vehicle perception. , The dataset collection platform is a Ford Fusion vehicle with a roof-mounted novel sensing suite, which specifically consists of forward-facing stereo uncooled thermal cameras (FLIR 40640U050-6PAAX), event cameras (iniVation DVXplorer), monochrome cameras (FLIR BFS-PGE-16S2M), and RGB cameras (FLIR BFS-PGE-50S5C) time synchronized with ground truth poses from a high precision navigation system. , Further information and resources (such as software tools for converting, managing, and viewing data files) are available on the project website: https://umautobots.github.io/nsavp , and CHANGE NOTICE (January 2024): We identified an error in our timestamp post-processing procedure that caused all camera timestamps to be offset by the exposure time of one of the cameras. We corrected the error, applied the corrected post-processing, and reuploaded the corrected files. The change impacts all camera data files. Prior to the change, the timestamps between the cameras were synchronized with submillisecond accuracy, but the camera and ground truth pose timestamps were offset by up to 0.4 ms, 3 ms, and 15 ms in the afternoon, sunset, and night sequences, respectively. This amounted in up to ~0.25 meters of position error in the night sequences. For consistency, camera calibration was rerun with the corrected calibration sequence files. The camera calibration results have therefore been updated as well, although they have not changed significantly. Finally, we previously downsampled the frame data in the uploaded calibration seqeuence, but we decided to provide the full frame data in the reupload.
- Keyword:
- novel sensing, perception, autonomous vehicles, thermal sensing, neuromorphic imaging, and event cameras
- Citation to related publication:
- https://sites.google.com/umich.edu/novelsensors2023, https://github.com/umautobots/nsavp_tools, and https://umautobots.github.io/nsavp
- Discipline:
- Engineering
-
- Creator:
- Skinner, Katherine A., Vasudevan, Ram, Ramanagopal, Manikandasriram S., Ravi, Radhika, Carmichael, Spencer, and Buchan, Austin D.
- Description:
- This dataset is part of a collection created to facilitate research in the use of novel sensors for autonomous vehicle perception. , The dataset collection platform is a Ford Fusion vehicle with a roof-mounted novel sensing suite, which specifically consists of forward-facing stereo uncooled thermal cameras (FLIR 40640U050-6PAAX), event cameras (iniVation DVXplorer), monochrome cameras (FLIR BFS-PGE-16S2M), and RGB cameras (FLIR BFS-PGE-50S5C) time synchronized with ground truth poses from a high precision navigation system. , Further information and resources (such as software tools for converting, managing, and viewing data files) are available on the project website: https://umautobots.github.io/nsavp , and CHANGE NOTICE (January 2024): We identified an error in our timestamp post-processing procedure that caused all camera timestamps to be offset by the exposure time of one of the cameras. We corrected the error, applied the corrected post-processing, and reuploaded the corrected files. The change impacts all camera data files. Prior to the change, the timestamps between the cameras were synchronized with submillisecond accuracy, but the camera and ground truth pose timestamps were offset by up to 0.4 ms, 3 ms, and 15 ms in the afternoon, sunset, and night sequences, respectively. This amounted in up to ~0.25 meters of position error in the night sequences. For consistency, camera calibration was rerun with the corrected calibration sequence files. The camera calibration results have therefore been updated as well, although they have not changed significantly. Finally, we previously downsampled the frame data in the uploaded calibration seqeuence, but we decided to provide the full frame data in the reupload.
- Keyword:
- novel sensing, perception, autonomous vehicles, thermal sensing, neuromorphic imaging, and event cameras
- Citation to related publication:
- https://sites.google.com/umich.edu/novelsensors2023, https://github.com/umautobots/nsavp_tools, and https://umautobots.github.io/nsavp
- Discipline:
- Engineering
-
- Creator:
- Skinner, Katherine A., Vasudevan, Ram, Ramanagopal, Manikandasriram S., Ravi, Radhika, Carmichael, Spencer, and Buchan, Austin D.
- Description:
- This dataset is part of a collection created to facilitate research in the use of novel sensors for autonomous vehicle perception. , The dataset collection platform is a Ford Fusion vehicle with a roof-mounted novel sensing suite, which specifically consists of forward-facing stereo uncooled thermal cameras (FLIR 40640U050-6PAAX), event cameras (iniVation DVXplorer), monochrome cameras (FLIR BFS-PGE-16S2M), and RGB cameras (FLIR BFS-PGE-50S5C) time synchronized with ground truth poses from a high precision navigation system. , Further information and resources (such as software tools for converting, managing, and viewing data files) are available on the project website: https://umautobots.github.io/nsavp , and CHANGE NOTICE (January 2024): We identified an error in our timestamp post-processing procedure that caused all camera timestamps to be offset by the exposure time of one of the cameras. We corrected the error, applied the corrected post-processing, and reuploaded the corrected files. The change impacts all camera data files. Prior to the change, the timestamps between the cameras were synchronized with submillisecond accuracy, but the camera and ground truth pose timestamps were offset by up to 0.4 ms, 3 ms, and 15 ms in the afternoon, sunset, and night sequences, respectively. This amounted in up to ~0.25 meters of position error in the night sequences. For consistency, camera calibration was rerun with the corrected calibration sequence files. The camera calibration results have therefore been updated as well, although they have not changed significantly. Finally, we previously downsampled the frame data in the uploaded calibration seqeuence, but we decided to provide the full frame data in the reupload.
- Keyword:
- novel sensing, perception, autonomous vehicles, thermal sensing, neuromorphic imaging, and event cameras
- Citation to related publication:
- https://sites.google.com/umich.edu/novelsensors2023, https://github.com/umautobots/nsavp_tools, and https://umautobots.github.io/nsavp
- Discipline:
- Engineering
-
- Creator:
- Skinner, Katherine A., Vasudevan, Ram, Ramanagopal, Manikandasriram S., Ravi, Radhika, Carmichael, Spencer, and Buchan, Austin D.
- Description:
- This dataset is part of a collection created to facilitate research in the use of novel sensors for autonomous vehicle perception. , The dataset collection platform is a Ford Fusion vehicle with a roof-mounted novel sensing suite, which specifically consists of forward-facing stereo uncooled thermal cameras (FLIR 40640U050-6PAAX), event cameras (iniVation DVXplorer), monochrome cameras (FLIR BFS-PGE-16S2M), and RGB cameras (FLIR BFS-PGE-50S5C) time synchronized with ground truth poses from a high precision navigation system. , Further information and resources (such as software tools for converting, managing, and viewing data files) are available on the project website: https://umautobots.github.io/nsavp , and CHANGE NOTICE (January 2024): We identified an error in our timestamp post-processing procedure that caused all camera timestamps to be offset by the exposure time of one of the cameras. We corrected the error, applied the corrected post-processing, and reuploaded the corrected files. The change impacts all camera data files. Prior to the change, the timestamps between the cameras were synchronized with submillisecond accuracy, but the camera and ground truth pose timestamps were offset by up to 0.4 ms, 3 ms, and 15 ms in the afternoon, sunset, and night sequences, respectively. This amounted in up to ~0.25 meters of position error in the night sequences. For consistency, camera calibration was rerun with the corrected calibration sequence files. The camera calibration results have therefore been updated as well, although they have not changed significantly. Finally, we previously downsampled the frame data in the uploaded calibration seqeuence, but we decided to provide the full frame data in the reupload.
- Keyword:
- novel sensing, perception, autonomous vehicles, thermal imaging, neuromorphic imaging, and event cameras
- Citation to related publication:
- https://sites.google.com/umich.edu/novelsensors2023, https://github.com/umautobots/nsavp_tools, and https://umautobots.github.io/nsavp
- Discipline:
- Engineering
-
- Creator:
- Skinner, Katherine A., Vasudevan, Ram, Ramanagopal, Manikandasriram S., Ravi, Radhika, Carmichael, Spencer, and Buchan, Austin D.
- Description:
- This dataset is part of a collection created to facilitate research in the use of novel sensors for autonomous vehicle perception. , The dataset collection platform is a Ford Fusion vehicle with a roof-mounted novel sensing suite, which specifically consists of forward-facing stereo uncooled thermal cameras (FLIR 40640U050-6PAAX), event cameras (iniVation DVXplorer), monochrome cameras (FLIR BFS-PGE-16S2M), and RGB cameras (FLIR BFS-PGE-50S5C) time synchronized with ground truth poses from a high precision navigation system. , Further information and resources (such as software tools for converting, managing, and viewing data files) are available on the project website: https://umautobots.github.io/nsavp , and CHANGE NOTICE (January 2024): We identified an error in our timestamp post-processing procedure that caused all camera timestamps to be offset by the exposure time of one of the cameras. We corrected the error, applied the corrected post-processing, and reuploaded the corrected files. The change impacts all camera data files. Prior to the change, the timestamps between the cameras were synchronized with submillisecond accuracy, but the camera and ground truth pose timestamps were offset by up to 0.4 ms, 3 ms, and 15 ms in the afternoon, sunset, and night sequences, respectively. This amounted in up to ~0.25 meters of position error in the night sequences. For consistency, camera calibration was rerun with the corrected calibration sequence files. The camera calibration results have therefore been updated as well, although they have not changed significantly. Finally, we previously downsampled the frame data in the uploaded calibration seqeuence, but we decided to provide the full frame data in the reupload.
- Keyword:
- novel sensing, perception, autonomous vehicles, thermal sensing, neuromorphic imaging, and event cameras
- Citation to related publication:
- https://sites.google.com/umich.edu/novelsensors2023, https://github.com/umautobots/nsavp_tools, and https://umautobots.github.io/nsavp
- Discipline:
- Engineering
-
- Creator:
- Sheppard, Anja, Sethuraman, Advaith V, Bagoren, Onur, Pinnow, Christopher, Anderson, Jamey, Havens, Timothy C, and Skinner, Katherine A
- Description:
- The AI4Shipwrecks dataset contains sidescan sonar images of shipwrecks and corresponding binary labels collected during 2022 and 2023 at the NOAA Thunder Bay National Marine Sanctuary in Alpena, MI. The data collection platform was an Iver3 Autonomous Underwater Vehicle (AUV) equipped with an EdgeTech 2205 dual-frequency ultra-high resolution sidescan sonar and 3D bathymetric system. The labels were compiled from reference labels created by experts in marine archaeology. The intended use of this dataset is to encourage development of semantic segmentation, object detection, or anomaly detection algorithms in the computer vision field. Comparisons of state-of-the-art segmentation networks on our dataset are shown in the paper. , The file structure is organized as described in the README.txt file, where images in 'images' directories are the waterfall product of sidescan sonar surveys, and images in 'labels' directories are binary representations of expert labels. Images across the 'images' and 'labels' directories are correlated by having identical filenames. In the label images, a pixel value of '0' represents the non-shipwreck/other class and '1' represents the shipwreck class for the correspondingly named image (<wreck_name>_<##>.png) in the images directory. , and The project webpage can be found at: https://umfieldrobotics.github.io/ai4shipwrecks/
- Keyword:
- machine learning, computer vision, field robotics, marine robotics, underwater robotics, sidescan sonar, semantic segmentation, and object detection
- Discipline:
- Engineering
-
- Creator:
- Hawes, Jason K, Goldstein, Benjamin P. , Newell, Joshua P. , Dorr, Erica , Caputo, Silvio , Fox-Kämper, Runrid , Grard, Baptiste , Ilieva, Rositsa T. , Fargue-Lelièvre, Agnès , Poniży, Lidia , Schoen, Victoria , Specht, Kathrin , and Cohen, Nevin
- Description:
- Urban agriculture (UA) is a widely proposed strategy to make cities and urban food systems more sustainable. However, its carbon footprint remains understudied. In fact, the few existing studies suggest that UA may be worse for the climate than conventional agriculture. This is the first large-scale study to resolve this uncertainty across cities and types of UA, employing citizen science at 73 UA sites in Europe and the United States to compare UA products to food from conventional farms. The results reveal that food from UA is six times as carbon intensive as conventional agriculture (420g vs 70g CO2 equivalent per serving). Some UA crops (e.g., tomatoes) and sites (e.g., 25% of individually-managed gardens), however, outperform conventional agriculture. These exceptions suggest that UA practitioners can reduce their climate impacts by cultivating crops that are typically greenhouse grown or air-freighted, maintaining UA sites for many years, and leveraging waste as inputs.This database contains the necessary reference material to trace the path of our analysis from raw garden data to carbon footprint and nutrient results. It also contains the final results of the analyses in various extended forms not available in the publication. For more information, see manuscript at link below. (Introduction partially quoted from Hawes et al., 2023)
- Citation to related publication:
- Hawes, J. K., Goldstein, B. P., Newell, J. P., Dorr, E., Caputo, S., Fox-Kämper, R., Grard, B., Ilieva, R. T., Fargue-Lelièvre, A., Poniży, L., Schoen, V., Specht, K., & Cohen, N. (2024). Comparing the carbon footprints of urban and conventional agriculture. Nature Cities, 1–10. https://doi.org/10.1038/s44284-023-00023-3
- Discipline:
- Engineering
-
- Creator:
- Srodawa, Kristy, Cerda, Peter A, Davis Rabosky, Alison R, and Crowe-Riddell, Jenna M
- Description:
- Snake venom research has historically focused on front-fanged species (Viperidae and Elapidae), limiting our knowledge of venom evolution in rear-fanged snakes across their ecologically-diverse phylogeny. Three finger toxins (3FTxs) are a known neurotoxic component in the venoms of some rear-fanged snakes (Colubrinae, Colubridae), but it is unclear how prevalent 3FTxs are both in expression within venom glands and more broadly among colubrine species. Here, we used a transcriptomic approach to characterize the venom expression profiles of four species of colubrine snakes from Neotropics that were dominated by 3FTx expression (in the genera Chironius, Oxybelis, Rhinobothryum, and Spilotes) and reconstructed the gene trees of 3FTxs. Overall, our results highlight the importance of exploring the venoms of understudied species in reconstructing the full evolutionary history of toxins across the tree of life.
- Keyword:
- snake venom, neurotoxin, molecular evolution, gene families, and opisthoglyphous
- Citation to related publication:
- Srodawa, K., Cerda, P.A., Davis Rabosky, A.R., Crowe-Riddell, J.M. Evolution of Three Finger Toxin Genes in Neotropical Colubrine Snakes (Colubridae). Toxins 2023, 15(9), 523; https://doi.org/10.3390/toxins15090523
- Discipline:
- Science
-
- Creator:
- Skinner, Katherine A., Vasudevan, Ram, Ramanagopal, Manikandasriram S., Ravi, Radhika, Carmichael, Spencer, and Buchan, Austin D.
- Description:
- This dataset is part of a collection created to facilitate research in the use of novel sensors for autonomous vehicle perception., The dataset collection platform is a Ford Fusion vehicle with a roof-mounted novel sensing suite, which specifically consists of forward-facing stereo uncooled thermal cameras (FLIR 40640U050-6PAAX), event cameras (iniVation DVXplorer), monochrome cameras (FLIR BFS-PGE-16S2M), and RGB cameras (FLIR BFS-PGE-50S5C) time synchronized with ground truth poses from a high precision navigation system. , and Further information and resources (such as software tools for converting, managing, and viewing data files) are available on the project website: https://umautobots.github.io/nsavp
- Keyword:
- novel sensing, perception, autonomous vehicles, thermal sensing, neuromorphic imaging, and event cameras
- Citation to related publication:
- https://umautobots.github.io/nsavp, https://github.com/umautobots/nsavp_tools, and https://sites.google.com/umich.edu/novelsensors2023
- Discipline:
- Engineering
-
- Creator:
- Skinner, Katherine A., Vasudevan, Ram, Ramanagopal, Manikandasriram S., Ravi, Radhika, Carmichael, Spencer, and Buchan, Austin D.
- Description:
- This dataset is part of a collection created to facilitate research in the use of novel sensors for autonomous vehicle perception., The dataset collection platform is a Ford Fusion vehicle with a roof-mounted novel sensing suite, which specifically consists of forward-facing stereo uncooled thermal cameras (FLIR 40640U050-6PAAX), event cameras (iniVation DVXplorer), monochrome cameras (FLIR BFS-PGE-16S2M), and RGB cameras (FLIR BFS-PGE-50S5C) time synchronized with ground truth poses from a high precision navigation system. , and Further information and resources (such as software tools for converting, managing, and viewing data files) are available on the project website: https://umautobots.github.io/nsavp
- Keyword:
- novel sensing, perception, autonomous vehicles, thermal sensing, neuromorphic imaging, and event cameras
- Citation to related publication:
- https://umautobots.github.io/nsavp, https://github.com/umautobots/nsavp_tools, and https://sites.google.com/umich.edu/novelsensors2023
- Discipline:
- Engineering
-
- Creator:
- Skinner, Katherine A., Vasudevan, Ram, Ramanagopal, Manikandasriram S., Ravi, Radhika, Carmichael, Spencer, and Buchan, Austin D.
- Description:
- This dataset is part of a collection created to facilitate research in the use of novel sensors for autonomous vehicle perception. , The dataset collection platform is a Ford Fusion vehicle with a roof-mounted novel sensing suite, which specifically consists of forward-facing stereo uncooled thermal cameras (FLIR 40640U050-6PAAX), event cameras (iniVation DVXplorer), monochrome cameras (FLIR BFS-PGE-16S2M), and RGB cameras (FLIR BFS-PGE-50S5C) time synchronized with ground truth poses from a high precision navigation system. , and Further information and resources (such as software tools for converting, managing, and viewing data files) are available on the project website: https://umautobots.github.io/nsavp
- Keyword:
- novel sensing, perception, autonomous vehicles, thermal sensing, neuromorphic imaging, and event cameras
- Citation to related publication:
- https://umautobots.github.io/nsavp, https://github.com/umautobots/nsavp_tools, and https://sites.google.com/umich.edu/novelsensors2023
- Discipline:
- Engineering
-
- Creator:
- Skinner, Katherine A., Vasudevan, Ram, Ramanagopal, Manikandasriram S., Ravi, Radhika, Carmichael, Spencer, and Buchan, Austin D.
- Description:
- This dataset is part of a collection created to facilitate research in the use of novel sensors for autonomous vehicle perception. , The dataset collection platform is a Ford Fusion vehicle with a roof-mounted novel sensing suite, which specifically consists of forward-facing stereo uncooled thermal cameras (FLIR 40640U050-6PAAX), event cameras (iniVation DVXplorer), monochrome cameras (FLIR BFS-PGE-16S2M), and RGB cameras (FLIR BFS-PGE-50S5C) time synchronized with ground truth poses from a high precision navigation system. , Further information and resources (such as software tools for converting, managing, and viewing data files) are available on the project website: https://umautobots.github.io/nsavp , and CHANGE NOTICE (January 2024): We identified an error in our timestamp post-processing procedure that caused all camera timestamps to be offset by the exposure time of one of the cameras. We corrected the error, applied the corrected post-processing, and reuploaded the corrected files. The change impacts all camera data files. Prior to the change, the timestamps between the cameras were synchronized with submillisecond accuracy, but the camera and ground truth pose timestamps were offset by up to 0.4 ms, 3 ms, and 15 ms in the afternoon, sunset, and night sequences, respectively. This amounted in up to ~0.25 meters of position error in the night sequences. For consistency, camera calibration was rerun with the corrected calibration sequence files. The camera calibration results have therefore been updated as well, although they have not changed significantly. Finally, we previously downsampled the frame data in the uploaded calibration seqeuence, but we decided to provide the full frame data in the reupload.
- Keyword:
- novel sensing, perception, autonomous vehicles, thermal sensing, neuromorphic imaging, and event cameras
- Citation to related publication:
- https://sites.google.com/umich.edu/novelsensors2023, https://github.com/umautobots/nsavp_tools, and https://umautobots.github.io/nsavp
- Discipline:
- Engineering