Scan of specimen ummz:mammals:170489 (Chrysocyon brachyurus) - WholeBody. Reconstructed Dataset includes 1495 TIF images (each 1908 x 1243 x 1 voxel at 0.121618 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:170489 (Chrysocyon brachyurus) - WholeBody. Raw Dataset includes 1601 TIF images (each 1908 x 1243 x 1 voxel at 0.1216177 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
Scan of specimen ummz:mammals:170469 (Addax nasomaculatus) - WholeBody. Raw Dataset includes 1601 TIF images (each 1172 x 980 x 1 voxel at 0.08671137 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:170469 (Addax nasomaculatus) - WholeBody. Reconstructed Dataset includes 1917 TIF images (each 1172 x 980 x 1 voxel at 0.086711 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
Scan of specimen ummz:mammals:163808 (Crocuta crocuta) - WholeBody. Raw Dataset includes 1601 TIF images (each 1931 x 1509 x 1 voxel at 0.1216165 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:163808 (Crocuta crocuta) - WholeBody. Reconstructed Dataset includes 1973 TIF images (each 1931 x 1509 x 1 voxel at 0.121617 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
Scan of specimen ummz:mammals:157158 (Conepatus humboldtii) - WholeBody. Reconstructed Dataset includes 1979 TIF images (each 984 x 1237 x 1 voxel at 0.037468 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:157158 (Conepatus humboldtii) - WholeBody. Raw Dataset includes 1601 TIF images (each 984 x 1237 x 1 voxel at 0.03746828 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
Scan of specimen ummz:mammals:114800 (Acinonyx jubatus) - WholeBody. Raw Dataset includes 1601 TIF images (each 1978 x 1688 x 1 voxel at 0.09413704 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:114800 (Acinonyx jubatus) - WholeBody. Reconstructed Dataset includes 1671 TIF images (each 1978 x 1688 x 1 voxel at 0.094137 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
Scan of specimen ummz:mammals:103553 (Cynictis penicillata) - WholeBody. Raw Dataset includes 1601 TIF images (each 1048 x 1049 x 1 voxel at 0.03995863 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:103553 (Cynictis penicillata) - WholeBody. Reconstructed Dataset includes 1946 TIF images (each 1048 x 1049 x 1 voxel at 0.039959 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
Scan of specimen ummz:mammals:101779 (Callorhinus ursinus) - WholeBody. Reconstructed Dataset includes 1883 TIF images (each 1927 x 1392 x 1 voxel at 0.121618 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:101779 (Callorhinus ursinus) - WholeBody. Raw Dataset includes 1601 TIF images (each 1927 x 1392 x 1 voxel at 0.1216177 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
Scan of specimen ummz:mammals:85357 (Alouatta belzebul) - WholeBody. Reconstructed Dataset includes 1942 TIF images (each 1232 x 1784 x 1 voxel at 0.065510 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction. and Scan of specimen ummz:mammals:85357 (Alouatta belzebul) - WholeBody. Raw Dataset includes 1601 TIF images (each 1232 x 1784 x 1 voxel at 0.06550971 mm resolution, derived from 1601 scan projections), xtek and vgi files for volume reconstruction.
Accurate estimation of hydro-meteorological variables is essential for adaptive water management in the North American Laurentian Great Lakes. However, only a limited number of monthly datasets are available nowadays that encompass all components of net basin supply (NBS), such as over-lake precipitation (P), evaporation (E), and total runoff (R). To address this gap, we developed a daily hydro-meteorological dataset covering an extended period from 1979 to 2022 for each of the Great Lakes. The daily P and E were derived from six global gridded reanalysis climate datasets (GGRCD) that include both P and E estimates, and R was calculated from National Water Model (NWM) simulations. Ensemble mean values of the difference between P and E (P – E) and NBS were obtained by analyzing daily P, E, and R. Monthly averaged values derived from our new daily dataset were validated against existing monthly datasets. This daily hydro-meteorological dataset has the potential to serve as a validation resource for current data and analysis of individual NBS components. Additionally, it could offer a comprehensive depiction of weather and hydrological processes in the Great Lakes region, including the ability to record extreme events, facilitate enhanced seasonal analysis, and support hydrologic model development and calibration. The source code and data representation/analysis figures are also made available in the data repository.
The database was constructed by using the archived monthly newsletters of SPA and SPD. Duplicate job ads (those in both data sets and those posted over multiple months) were eliminated. The comma delimited raw data files of the job postings and the compilation of the numbers by year and job type and provided. A summary of the results is deposited in Deep Blue Documents.