Search Constraints
Number of results to display per page
View results as:
Search Results
-
- Creator:
- Zhang, Yingxiao MI and Steiner, Allison MI
- Description:
- Atmospheric aerosols are emitted from both natural and anthropogenic sources, and they play an important role in climate, impacting solar radiation and cloud formation. Compared to other types of aerosol particles, primary biological aerosol particles (PBAP, e.g., fungal spores, bacteria, pollen, virus, etc.) are relatively understudied. However, they are linked to adverse health effects and have the potential to influence ice nucleation at higher temperatures. Anemophilous (or wind-driven) pollen is one of the important PBAP, impacts cloud properties under some conditions, and triggers allergic diseases such as allergic rhinitis (also known as hay fever) and asthma. Because pollen emission is closely associated with environmental drivers, the climatic change could influence pollen emission and consequently the incidence of allergic disease. Using CMIP6 model data, our research projects continental-scale changes in pollen emissions at the end of the century, considering the effects of temperature, precipitation, CO2, and future vegetation distribution change. While prior studies have evaluated single types of pollen, we use a mechanistic model to comprehensively simulate total pollen across the United States from all sources. Similar to previous single-source pollen studies, our simulations suggest that pollen season duration will lengthen, and pollen emission will increase in the future, but in addition, we identify new synergies between different pollen types that can influence the maximum daily pollen. Our work highlights that the changes of overlap between pollen seasons of different vegetation taxa can magnify or mitigate the impacts of climate change, which addresses the importance to study all pollen emissions comprehensively. Given pollen is one of the most common triggers of seasonal allergies, our findings also provide information to evaluate global health conditions in the future. In this study, all of the pollen emission data are written in NetCDF files.
- Keyword:
- Pollen emission change, Climate change, Public health, Vegetation land cover change, and CO2 effects
- Citation to related publication:
- Zhang, Y. and Steiner, A. “Projected climate-driven changes in pollen emission season length and magnitude over the continental United States”, under review in Nature Communication, 2022. and yingxz. (2022). steiner-lab/pecm: PECM2.0 (2.0). Zenodo. https://doi.org/10.5281/zenodo.5874177
- Discipline:
- Science
-
- Creator:
- Vani Archaeological Survey
- Description:
- The site of Sakakile (“Place of Beads”) lies 3 km upstream of the village of Sulori, on and around a small promontory on the left bank of the river, formed by a bend in the river and oriented southwest-northeast. This low and level promontory must always have made for a convenient crossing place, and there is now a log bridge running from the right bank of the river to the downstream end of the promontory. South of the promontory is a hill oriented east west from which much of the pottery found on the promontory appears to have eroded. The region around the river crossing is divided topographically into three distinct areas: Kvabiskari (“Place of the Cave/Gorge”), located downstream of the crossing and on the right (north) bank of the river; Sakakile, located on the promontory upstream of the crossing and on the left (south) bank of the river; and Likheti, located upstream of and uphill from Sakakile. Luka Dvalishvili, a resident of Sulori and the owner of the plot of land on the promontory, found a hoard of approximately 700 coins (including a silver Croesid) at Sakakile in the 1970s. At more or less the same time, another local farmer named Generi Paikidze found a bronze axe head here as well. After these chance finds, the Vani excavation team opened up two trenches on northern slope of the hill south of the river, where it slopes down to the low, level promontory of Sakakile. The excavations revealed a mixed assemblage of ceramics eroded from the hill south of the promontory, dating from the 8th-1st century B.C. (Iron Age, Classical, and Hellenistic). The only in-situ pottery assemblage was excavated on the hilltop and dates to the 6th-4th century B.C. Northeast of the hill, in the area where the bronze axe head was supposedly found (dated to the 7th century B.C.), the cobblestone foundation of an apsidal structure was excavated, along with clay tiles and metal implements. The excavation report concludes that occupation on the site began in the 7th-6th century, while the period of most intensive development was the 5th-4th century B.C. We recorded the locations of two trenches from the previous excavations and collected pottery from the eroding northern slope of the hill that forms the southern boundary of the promontory.
- Keyword:
- Iron Age, Late Hellenistic, Hoard, Settlement, and Stray Find
- Citation to related publication:
- In 1984, a chance find of a bronze axe was reported from the area known as Sakakile. In the following year, the Vani excavation team began excavations on the northern slope of the hill south of the river. In 1990 a hoard of 607 coins was found in the village of Sulori. A brief survey of the are was conducted in 2008., Lordkipanidze, O. 1986. Argonavtika da dzveli kolkheti [Argonautics and ancient Colchis]. Tbilisi. pp. 82-83. (In Georgian.), Lordkipanidze, O. D., R. V. Puturidze, D. D. Kacharava, V. A Tolordava, M. S. Pirtskhalava, A. M Chqonia, N. N. Matiashvili, D. V. Akhvlediani, G. Sh. Naridze, and G. A. Inauri. 1987. Raboty Vanskoi ekspeditsii [Work of the Vani archaeological expedition]. Polevye arkheologicheskiye issledovaniya v 1984-85 godakh [Field archaeological investigations in 1984-85]. Tbilisi. pp. 54-55. (In Russian.), Inauri, G. 1990a. Arkheologicheskiye razvedki v s. Sulori [Archaeological explorations in the village of Sulori]. Prichernomorye v VII-V vv. do n. e. Pismennye istochniki i arkheologiya. Materialy V Mezhdunarodnogo simpoziuma po drevnei istorii Prichernomorya. Vani – 1987 [The Black Sea littoral in the 7th-5th centuries B.C. Literary sources and archaeology (Problem of authenticity). Materials of the 5th International symposium dedicated to the problems of the ancient history of the Black Sea littoral. Vani – 1987]. Tbilisi. pp. 276-279. (In Russian.), Inauri, G. 1990b. Le territoire de Vani. Un compte rendu des recherches archéologiques. Le Pont-Euxin vu par les grecs. Sources écrites et archéologique. Symposium de Vani (Colchide), Septembre-Octobre 1987, Otar Lordkipanidze et Pierre Lévêque, ed. Tea Khartchilava et Evelyne Geny. Centre de Recherches d’Histoire Ancienne, Vol. 100. Paris: Annales Littéraires de l’Université de Besançon. pp. 249-252. (In French.), Lébanidzé, L. 1999. Le trésor monétaire de Sulori. La Mer Noire zone de contacts. Actes du VIIe Sympsium de Vani (Colchide) – 26-30.IX.1994. Paris. p. 155-158., Lordkipanidze, Otar. 2002. Dzeli kartuli civilizaciis sataveebtan [The sources of ancient Georgian civilization]. Tbilisi. pp. 206-7. (In Georgian.), and Kharabadze, S. 2008. “Vanis Qveq’nis” Arqeologiuri Ruk’a (dzv.ts. VIII – akh.ts. III ss.). (Archaeological Map of the Vani Land, 8th Century BC – 3rd Century AD). Tsardgenilia Doqt’oris Ak’ademiuri Khariskhis Mosap’oveblad. Saqartvelos T’eqnik’uri Universit’et’i. Tbilisi, 0175, Saqartvelo. Seqt’emberi. p. 20. (In Georgian with an English summary.)
- Discipline:
- Science and Humanities
-
- Creator:
- Bradshaw, Lisa, Vernon, Julianne, Schmidt, Thomas, James, Timothy, Zhang, Jianzhi, Archbold, Hilary, Cadigan, Ken, Wolfe, John P., and Goldberg, Deborah E.
- Description:
- This is the experimental data referenced in our manuscript entitled "Influence of CUREs on STEM retention depends on demographic identities." The dataset comprises csv files with results from student surveys given to students enrolled in Biology 173 from Fall 2015 through Fall 2019 as well as institutional data of their course grades and cumulative GPA at the time they enrolled in Biology 173, and graduation and major data for student who had graduated by 2021. The survey questions used in the analysis and the IRB consent form are also included as pdfs.
- Keyword:
- undergraduate research, STEM retention, CURE, introductory biology laboratory, and education research
- Citation to related publication:
- Bradshaw, L., Vernon J., Schmidt T., James T., Zhang J., Archbold H., Cadigan K., Wolfe J.P. & Goldberg D. 2023. Research article: Influence of CUREs on STEM retention depends on demographic identities. J Microbiol Biol Educ (accepted)
- Discipline:
- Science
-
- Creator:
- Salaree, Amir, Spica, Zack, and Huang, Yihe
- Description:
- The items in this bundle are supporting videos to a study of subsea seismo-acoustics carried out regarding an earthquake in the Persian Gulf. The main data used in the study is a diver's recording of the acoustic waves from the earthquake. The epicenter and topography data used in this study are publicly available as cited in the README.txt file.
- Keyword:
- Seismo-acoustics, Persian Gulf, Divers’ Microphones, Seismic Hazard, Early Warning
- Discipline:
- Science
-
- Creator:
- Umana, Maria
- Description:
- Functional trait data from six species of trees widely distributed across an elevational gradient in El Yunque, Puerto Rico.
- Keyword:
- SLA, LA, leaf thickness, wood specific gravity, crown volume
- Citation to related publication:
- Umaña, M. N. In review. The interplay of drought and hurricanes on tree recovery: insights from dynamic and weak functional responses. Forthcoming
- Discipline:
- Science
-
- Creator:
- Limon, Garrett C.
- Description:
- The work guides the processing of CAM6 data for use in machine learning applications. We also provide workflow scripts for training both random forests and neural networks to emulate physic s schemes from the data, as well as analysis scripts written in both Python and NCL in order to process our results.
- Keyword:
- Machine Learning, Climate Modeling, and Physics Emulation
- Citation to related publication:
- Limon, G. C., Jablonowski, C. (2022) Probing the Skill of Random Forest Emulators for Physical Parameterizations via a Hierarchy of Simple CAM6 Configurations [Pre Print]. ESSOAr. https://10.1002/essoar.10512353.1
- Discipline:
- Engineering and Science
-
Resources for Training Machine Learning Algorithms Using CAM6 Simple Physics Packages
User Collection- Creator:
- Limon, Garrett
- Description:
- The collection contains the code and the data used to train machine learning algorithms to emulate simplified physical parameterizations within the Community Atmosphere Model (CAM6). CAM6 is the atmospheric general circulation model (GCM) within the Community Earth System Model (CESM) framework, developed by the National Center for Atmospheric Research (NCAR). GCMs are made up of a dynamical core, responsible for the geophysical fluid flow calculations, and physical parameterization schemes, which estimate various unresolved processes. Simple physics schemes were used to train both random forests and neural networks in the interest of exploring the feasibility of machine learning techniques being used in conjunction with the dynamical core for improved efficiency of future climate and weather models. The results of the research show that various physical forcing tendencies and precipitation rates can be effectively emulated by the machine learning models.
- Keyword:
- Machine Learning, Climate Modeling, and Physics Emulators
- Discipline:
- Science and Engineering
2Works -
- Creator:
- Limon, Garrett C.
- Description:
- The data represents weekly output from three 60-year CAM6 model runs. The output includes state (.h0. files) and tendency (.h1. files) fields for three difference model configurations of increasing complexity. State fields include temperature, surface pressure, specific humidity, among others; while tendencies include temperature tendencies, specific humidity tendencies, as well as precipitation rates. Using the state variables at a given time step, machine learning techniques can be trained to predict the following tendency field, which can then be applied to the state variables to provide the state at the next physics time step of the model.
- Keyword:
- Machine Learning, Climate Modeling, and Physics Emulation
- Citation to related publication:
- Limon, G. C., Jablonowski, C. (2022) Probing the Skill of Random Forest Emulators for Physical Parameterizations via a Hierarchy of Simple CAM6 Configurations [Preprint]. ESSOAr. https://10.1002/essoar.10512353.1
- Discipline:
- Engineering and Science
-
Realm 3: Tumulus Excavations
User Collection- Creator:
- Galaty, Michael
- Description:
- The PASH Data Collection is comprised of Five data “realms”: 1) Survey and site data, 2) Settlement excavations, 3) Tumulus (burial mound) survey and excavations, 4) Artifact analysis, and 5) Geological data. All databases, field notebooks, unit and profile drawings, photographs, photo descriptions, radiocarbon dates, and geophysical survey data related to the tumuli excavations have been made available in PASH Deep Blue Data Realm 3., Total size of all files: approximately 2 gigabytes Chapter(s) linked to: Eight Abbreviations: “T” = tumulus, as in T099; “S” = site, as in S006, The excavation methods employed by PASH at tumuli replicate those employed at settlements. Natural stratigraphy was followed where possible, and arbitrary stratigraphic levels were defined when necessary. Arbitrary stratigraphic levels at tumuli often exceeded the 10 cm interval used at settlements, due to the large number of large rocks that needed to be removed. Due to the numerous rocks, not all mound fill was screened; rather, we screened every third bucket through quarter-inch mesh. By contrast, all soil from features was screened. Soil was sampled for flotation and water screening from every level and feature, but unlike samples from settlements, it has not been processed and analyzed. Each tumulus, being roughly circular, was divided into quadrants along the cardinal directions, and 1-m baulks between quadrants were defined. Quadrants were excavated separately by level. Sometimes quadrants were excavated concurrently. Tumulus unit/level/feature designations are therefore preceded by tumulus (T000) and quadrant (Q000) numbers. Artifact provenience was recorded down to levels and features, with important in situ artifacts sometimes being mapped into level/feature drawings along x-y-z axes. Strata and artifacts were measured cm below surface using a dumpy level. All levels and features were drawn and photographed, individually and by quadrant. , In each mound we followed natural stratigraphy whenever and wherever possible. However, given the steep downward curves of many strata, following the slopes of mound surfaces, this was not always possible. Thus, it is likely that some levels combine artifacts from different mound strata. To control partially for this difficulty, quadrant levels were often subdivided into separate units on the interior or the exterior of mounds (designated “collections units” or CUs). Mound and grave architecture, when present, was left in place until fully defined and documented and then removed if necessary. Baulks were drawn in profile and photographed and removed en masse at the end of each excavation., and Prior to excavation, all mounds surveyed in Shtoj and Shkrel were mapped and fully documented. The state of preservation (present day and projected into the future) of each mound was recorded (from poor to excellent, and from fully safe to critically endangered). Given that so many mounds in both regions were already damaged or had been destroyed, or were actively threatened, we decided to excavate mounds that were (1) already completely removed (T-085), (2) damaged by agricultural activities (T-052), (3) going to be removed by a landowner (despite legal prohibitions) (T-088), and (4) previously looted or excavated (T-099). We did not want to excavate seemingly intact, undamaged mounds. Our tumulus excavations can therefore be aptly described as “rescue” excavations.
- Keyword:
- archaeology
- Discipline:
- Science and Humanities
5Works -
Realm 2: Settlement Excavations
User Collection- Creator:
- Galaty, Michael
- Description:
- The PASH Data Collection is comprised of Five data “realms”: 1) Survey and site data, 2) Settlement excavations, 3) Tumulus (burial mound) survey and excavations, 4) Artifact analysis, and 5) Geological data. All databases, field notebooks, unit and profile drawings, photographs, photo descriptions, radiocarbon dates, and geophysical survey data related to the settlement excavations have been made available in PASH Realm 2. and The excavations we conducted at Kodër Boks, Zagorë, and Gajtan were designed to gather as much data as possible, as quickly as possible. They were composed of test pits (“units,” i.e., sondages), primarily 1x1 m in size, occasionally larger, positioned based on the results of field surveys and systematic surface collections of artifacts, but also with reference to prior excavations (at Zagorë and Gajtan) and geophysical data (collected at Gajtan). Excavations followed natural stratigraphy where possible; when such strata were not present, we excavated in 10-cm arbitrary levels. Artifact provenience was recorded down to levels and features, with important in situ artifacts sometimes being mapped into level/feature drawings along x-y-z axes. When identified, archaeological features (e.g., pits, floors, walls, etc.) were excavated separately from levels. Excavators organized forms and accompanying journal entries by “level” and “feature” for each unit. Each level and feature was drawn and photographed. Artifacts were bagged together by level and type. Radiocarbon samples were wrapped in tin foil and bagged separately. Soil samples were taken from each level using the “pinch” method. Upon completion, a profile wall of each unit was photographed, and, in some cases, drawn. Artifacts (with the exception of metal) were washed in water, dried on racks in the sun, and sorted and labeled in the PASH field laboratory. They were analyzed in preliminary fashion first in the field by PASH staff and later by experts.
- Keyword:
- archaeology
- Discipline:
- Science and Humanities
3Sub-collections0Works