Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
248
datasets available to search
ShareScore release 0.9.0
Dataset results
248 results for “research groups”
Antidepressant Treatment of Mexican-Americans: UCLA Pharmacogenetics and Pharmacogenomics Research Group
ClinicalTrials.gov study NCT00265291. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Data from: Organic functional group and organic matter concentrations from FT-IR measurements of particulate matter samples in the Southeastern Aerosol Research and Characterization (SEARCH) network from 2009-2016
Open the record for dataset details and reuse information.
GIS Shapefile - Analysis of potential stewardship in support of BES research, block group
Potential stewardship for Baltimore City summarized by block group. PRIZM 5, 15, and 62 classes are also present. PRIZM is the Potential Rating Index by Zip code Markets produced by the Claritas corportation - (http://www.clusterbigip1.claritas.com/claritas/Default.jsp). Potential stewardship is that land within a parcels not occupied by buildings, that is land that could potentially undergo "greening." Not Realized Potential Stewardship is the land not occupied by buildings or existing vegetation, and is thus the land that is potentially available for "greening" initiatives. This dataset provides several summarizations at the block group level: 1) total potential stewardship area, 2) not realized potential stewardship, 3) normalized potential stewardship (potential stewardship area / block group area), 4) normalized not realized potential stewardship (not realized potential stewardship area / block group area), and 5) tree potential stewardship area. The potential stewardship was calculated using parcel data, building footprints, and GDT census block groups. Building footprints were erased from the parcel area, resulting in a layer indicating the potential stewardship for each parcel. The potential stewardship layer was then unioned MD DNR's SUFA vegetation layer. All polygons corresponding to water features were deleted since water features cannot undergo "greening." All polygons that did fall in the potential stewardship area were deleted. This resulted in a layer in which the polygons represented the potential stewardship land along with the potential stewardship land occupied by either grass or trees. This layer was then intersected with the census block group layer resulting in a layer that had the potential stewardship land, potential stewardship vegetation, and block group IDs. All attributes were then summarized at the block group level. Total Potential Stewardship (Tot_PotStew) is the area of parcel land in a block group that is not occupied by buildings o
GIS Shapefile - Analysis of potential stewardship in support of BES research, Baltimore City, block group
Potential stewardship for Residential parcels in Baltimore City summarized by block group. Residential parcels was defined as only those parcels with a land use code of residential (LU_CODE = "R") based on the 2003 Maryland Property View A&T database. PRIZM 5, 15, and 62 classes are also present. PRIZM is the Potential Rating Index by Zip code Markets produced by the Claritas Corporation - > http://www.clusterbigip1.claritas.com/claritas/Default.jsp>. Total Potential stewardship is that land within a parcels not occupied by buildings, that is land that could potentially support vegetation, regardless of whether or not any vegetation is present. Realized Potential Stewardship is land that is currently occupied by vegetation. Not Realized Potential Stewardship is the land not occupied by buildings or existing vegetation, and is thus the land that is potentially available for "greening" initiatives. Normalization for realized and not realized potential stewardship is carried out by dividing by the total potential stewardship. The potential stewardship was calculated using parcel data, building footprints, and GDT census block groups. Building footprints were erased from the parcel area, resulting in a layer indicating the potential stewardship for each parcel. The potential stewardship layer was then unioned MD DNR's 2001 SUFA vegetation layer. All polygons corresponding to water features were deleted since water features cannot undergo "greening." All polygons that did fall in the potential stewardship area were deleted. This resulted in a layer in which the polygons represented the potential stewardship land along with the potential stewardship land occupied by either grass or trees. This layer was then intersected with the census block group layer resulting in a layer that had the potential stewardship land, potential stewardship vegetation, and block group IDs. All attributes were then summarized at the block group level. A cursory analysis of the parcel data indic
Size fractionation of total Chl a larger and smaller than 8 μm data generated by Mike Mullin of the Marine Life Research Group, aboard CalCOFI (California Cooperative Oceanic Fisheries Investigations) cruises of the coast of California, January 1994 - October 1996.
Based on twelve quarterly cruises over three years, the relative importance and absolute biomass of phytoplankton retained on an 8 mu m-pore membrane filter increased as the depth of the nitricline decreased, even though biomass of macrozooplankton (potential grazers) also increased as the nitricline shoaled. The relative importance of greater than or equal to 8 mu m cells was inversely related to a proxy for their biomass-specific mortality (biomass of macrozooplankton/biomass of greater than or equal to 8 mu m cells), as was their "residual" biomass not predicted from the nitricline depth
Figure 1 from: Mazón M, López X, Romero O (2020) Hymenoptera functional groups' shifts in disturbance gradients at Andean forests in Southern Ecuador. Journal of Hymenoptera Research 80: 1-15. https://doi.org/10.3897/jhr.80.60345
Figure 1 Localities of the four Andean forest reserves and the sampling points where the Malaise traps were placed in each one for collecting Hymenoptera.
Figure 2 from: Mazón M, López X, Romero O (2020) Hymenoptera functional groups' shifts in disturbance gradients at Andean forests in Southern Ecuador. Journal of Hymenoptera Research 80: 1-15. https://doi.org/10.3897/jhr.80.60345
Figure 2 NMDS plots for hymenopteran families assemblages grouped by conservation level (A) and by reserve (B). Samples from the same group are gathered by convex hulls.
Figure 3 from: Mazón M, López X, Romero O (2020) Hymenoptera functional groups' shifts in disturbance gradients at Andean forests in Southern Ecuador. Journal of Hymenoptera Research 80: 1-15. https://doi.org/10.3897/jhr.80.60345
Figure 3 Mean values of Shannon index for functional diversity of Hymenoptera collected in the three conservation levels (high, medium, low) from the four reserves of Andean forests. Vertical bars denote 95% confidence intervals. Different letters indicate statistically significant differences.
Figure 8 from: Komeda Y, Mita T, Hirose Y, Yamagishi K (2020) Taxonomic revision of charon-, floridanum- and muscaeforme-groups of Gryon Haliday, 1833 (Hymenoptera, Scelionidae) from Japan, with descriptions of two new species and host information. Journal of Hymenoptera Research 80: 99-135. https://doi.org/10.3897/jhr.80.56178
Figure 8 Mesosoma of Japanese Gryon spp. AG. japonicum, anterior view B posterior view CG. philippinense, anterior view D posterior view EG. pennsylvanicum, anterior view F posterior view.
Figure 7 from: Komeda Y, Mita T, Hirose Y, Yamagishi K (2020) Taxonomic revision of charon-, floridanum- and muscaeforme-groups of Gryon Haliday, 1833 (Hymenoptera, Scelionidae) from Japan, with descriptions of two new species and host information. Journal of Hymenoptera Research 80: 99-135. https://doi.org/10.3897/jhr.80.56178
Figure 7 Mesosoma of Japanese Gryon spp. AG. japonicum, dorsal view B lateral view CG. philippinense, dorsal view D lateral view EG. pennsylvanicum, dorsal view F lateral view.
Figure 6 from: Komeda Y, Mita T, Hirose Y, Yamagishi K (2020) Taxonomic revision of charon-, floridanum- and muscaeforme-groups of Gryon Haliday, 1833 (Hymenoptera, Scelionidae) from Japan, with descriptions of two new species and host information. Journal of Hymenoptera Research 80: 99-135. https://doi.org/10.3897/jhr.80.56178
Figure 6 Forewing of Japanese Gryon spp. AG. fulvicoxa sp. nov. BG. japonicumCG. yamagishiiDG. philippinenseEG. shisa sp. nov. FG. pennsylvanicum.
Figure 5 from: Komeda Y, Mita T, Hirose Y, Yamagishi K (2020) Taxonomic revision of charon-, floridanum- and muscaeforme-groups of Gryon Haliday, 1833 (Hymenoptera, Scelionidae) from Japan, with descriptions of two new species and host information. Journal of Hymenoptera Research 80: 99-135. https://doi.org/10.3897/jhr.80.56178
Figure 5 Antennae of Japanese Gryon spp. AG. fulvicoxa sp. nov., female BG. japonicum, female CG. yamagishii, female DG. philippinense, female EG. shisa sp. nov., female FG. pennsylvanicum, female GG. fulvicoxa sp. nov., male HG. japonicum, male IG. yamagishii, male JG. philippinense, male KG. shisa sp. nov., male LG. pennsylvanicum, male.
Figure 3 from: Komeda Y, Mita T, Hirose Y, Yamagishi K (2020) Taxonomic revision of charon-, floridanum- and muscaeforme-groups of Gryon Haliday, 1833 (Hymenoptera, Scelionidae) from Japan, with descriptions of two new species and host information. Journal of Hymenoptera Research 80: 99-135. https://doi.org/10.3897/jhr.80.56178
Figure 3 Frons of Japanese Gryon spp. AG. fulvicoxa sp. nov. BG. japonicumCG. yamagishiiDG. philippinenseEG. shisa sp. nov. FG. pennsylvanicum.
Figure 4 from: Komeda Y, Mita T, Hirose Y, Yamagishi K (2020) Taxonomic revision of charon-, floridanum- and muscaeforme-groups of Gryon Haliday, 1833 (Hymenoptera, Scelionidae) from Japan, with descriptions of two new species and host information. Journal of Hymenoptera Research 80: 99-135. https://doi.org/10.3897/jhr.80.56178
Figure 4 Occiput of Japanese Gryon spp. AG. fulvicoxa sp. nov. BG. japonicumCG. yamagishiiDG. philippinenseEG. shisa sp. nov. FG. pennsylvanicum.
Figure 12 from: Komeda Y, Mita T, Hirose Y, Yamagishi K (2020) Taxonomic revision of charon-, floridanum- and muscaeforme-groups of Gryon Haliday, 1833 (Hymenoptera, Scelionidae) from Japan, with descriptions of two new species and host information. Journal of Hymenoptera Research 80: 99-135. https://doi.org/10.3897/jhr.80.56178
Figure 12 Overwintering aggregation of Gryon and Trissolcus under the bark of Zelkova serrata in Akita prefecture (provided by J. Kobayashi).
Figure 10 from: Komeda Y, Mita T, Hirose Y, Yamagishi K (2020) Taxonomic revision of charon-, floridanum- and muscaeforme-groups of Gryon Haliday, 1833 (Hymenoptera, Scelionidae) from Japan, with descriptions of two new species and host information. Journal of Hymenoptera Research 80: 99-135. https://doi.org/10.3897/jhr.80.56178
Figure 10 The holotype of G. yamagishiiA dorsal view B lateral view C mesosoma, dorsal view D frons E labels.
Figure 9 from: Komeda Y, Mita T, Hirose Y, Yamagishi K (2020) Taxonomic revision of charon-, floridanum- and muscaeforme-groups of Gryon Haliday, 1833 (Hymenoptera, Scelionidae) from Japan, with descriptions of two new species and host information. Journal of Hymenoptera Research 80: 99-135. https://doi.org/10.3897/jhr.80.56178
Figure 9 Metasoma of Japanese Gryon spp. AG. japonicum, dorsal view B ventral view CG. philippinense, dorsal view D ventral view EG. pennsylvanicum, dorsal view F ventral view.
Figure 11 from: Komeda Y, Mita T, Hirose Y, Yamagishi K (2020) Taxonomic revision of charon-, floridanum- and muscaeforme-groups of Gryon Haliday, 1833 (Hymenoptera, Scelionidae) from Japan, with descriptions of two new species and host information. Journal of Hymenoptera Research 80: 99-135. https://doi.org/10.3897/jhr.80.56178
Figure 11 The holotype of G. maruzzae syn. nov. A dorsal view B lateral view C mesosoma, dorsal view D frons E labels.
Figure 1 from: Komeda Y, Mita T, Hirose Y, Yamagishi K (2020) Taxonomic revision of charon-, floridanum- and muscaeforme-groups of Gryon Haliday, 1833 (Hymenoptera, Scelionidae) from Japan, with descriptions of two new species and host information. Journal of Hymenoptera Research 80: 99-135. https://doi.org/10.3897/jhr.80.56178
Figure 1 Japanese Gryon spp., dorsal view AG. fulvicoxa sp. nov., holotype BG. japonicumCG. yamagishiiDG. philippinenseEG. shisa sp. nov., holotype FG. pennsylvanicum. Scale bars: 1 mm.
Figure 2 from: Komeda Y, Mita T, Hirose Y, Yamagishi K (2020) Taxonomic revision of charon-, floridanum- and muscaeforme-groups of Gryon Haliday, 1833 (Hymenoptera, Scelionidae) from Japan, with descriptions of two new species and host information. Journal of Hymenoptera Research 80: 99-135. https://doi.org/10.3897/jhr.80.56178
Figure 2 Japanese Gryon spp., lateral views AG. fulvicoxa sp. nov., holotype BG. japonicumCG. yamagishiiDG. philippinenseEG. shisa sp. nov., paratype FG. pennsylvanicum. Scale bars: 1 mm.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.