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ShareScore release 0.9.0
Dataset results
37 results for “Pima”
Walnut Gulch Experimental Watershed site, station Pima County, AZ (FIPS 4019), study of percent urban population in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Walnut Gulch Experimental Watershed (WGE) contains percent urban population measurements in percent units and were aggregated to a yearly timescale.
Walnut Gulch Experimental Watershed site, station Pima County, AZ (FIPS 4019), study of human population density in units of numberPerKilometerSquared on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Walnut Gulch Experimental Watershed (WGE) contains human population density measurements in numberPerKilometerSquared units and were aggregated to a yearly timescale.
Walnut Gulch Experimental Watershed site, station Pima County, AZ (FIPS 4019), study of human population (total) in units of number on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Walnut Gulch Experimental Watershed (WGE) contains human population (total) measurements in number units and were aggregated to a yearly timescale.
Walnut Gulch Experimental Watershed site, station Pima County, AZ (FIPS 4019), study of population (urban) in units of number on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Walnut Gulch Experimental Watershed (WGE) contains population (urban) measurements in number units and were aggregated to a yearly timescale.
Delaying the Progression of Diabetic Nephropathy in Pima Indians
ClinicalTrials.gov study NCT00353600. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Cross-Sectional and Longitudinal Studies of "Pre-Diabetes" in the Pima Indians
ClinicalTrials.gov study NCT00340132. IPD Sharing: Not stated. Countries: 1. Publications: 14.
Insulin Secretory Defects in Pima Indians at High Risk for NIDDM
ClinicalTrials.gov study NCT00410800. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Figure 7 from: Yang L, Ren Y (2020) A new species of Pima Hulst, 1888 from China (Lepidoptera, Pyralidae, Phycitinae), with a key to Holarctic species. ZooKeys 975: 111-124. https://doi.org/10.3897/zookeys.975.56763
Figure 7 Geographical distribution of Pima in China: P. tristriata sp. nov. (triangle), P. boisduvaliella (circle); P. trifidella (square).
Figures 3-6 from: Yang L, Ren Y (2020) A new species of Pima Hulst, 1888 from China (Lepidoptera, Pyralidae, Phycitinae), with a key to Holarctic species. ZooKeys 975: 111-124. https://doi.org/10.3897/zookeys.975.56763
Figures 3-6 Genitalia of Pima species. 3, 4 Male genitalia 3P. tristriata sp. nov., paratype, YLL18044 4P. boisduvaliella, DYL01090 5, 6 Female genitalia 5P. tristriata sp. nov., paratype, LJY10110 6P. boisduvaliella, DYL00331. Scale bars: 0.5 mm.
Figures 1- 2 from: Yang L, Ren Y (2020) A new species of Pima Hulst, 1888 from China (Lepidoptera, Pyralidae, Phycitinae), with a key to Holarctic species. ZooKeys 975: 111-124. https://doi.org/10.3897/zookeys.975.56763
Figures 1- 2 Adult Pima species. 1P. tristriata sp. nov., holotype, male 1a dorsal view of head, holotype, male 1b lateral view of head, holotype, male 1c wing venation, paratype, female, DYL01090 2P. boisduvaliella, female 2a dorsal view of head, male 2b lateral view of head, male 2c wing venation, female, WYQ13200. Scale bars: 5.0 mm.
Figure 8 from: Yang L, Ren Y (2020) A new species of Pima Hulst, 1888 from China (Lepidoptera, Pyralidae, Phycitinae), with a key to Holarctic species. ZooKeys 975: 111-124. https://doi.org/10.3897/zookeys.975.56763
Figure 8 Neighbor-joining tree deduced from the cytochrome c oxidase subunit I (COI) gene sequences using MEGA X. Sequences were corrected with the Kimura two-parameter substitution model. Codon positions included were 1st + 2nd + 3rd + non-coding. Values represented at the nodes of branches are bootstrap values (1000 replicates).
Accuracy of the Pima™ CD4 Test for Enumeration of CD4+ T-Cell Counts
ClinicalTrials.gov study NCT00951795. IPD Sharing: Not stated. Countries: 1. Publications: 0.
PIMA - Individualized Adherence Improvement Plan
ClinicalTrials.gov study NCT04650061. IPD Sharing: YES. Countries: 1. Publications: 0.
Type 2 Diabetes and Obesity in Mexican Pimas: Gene-Environment Interaction
ClinicalTrials.gov study NCT01168297. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Expression profiling of cotton (Gossypium barbadense L. Pima S7) fiber transcriptome during the development
GEO Series GSE11689. Gossypium barbadense; Gossypium arboreum. 6 samples. Type: Expression profiling by array.
Identification of differentially expressed genes associated with semigamy in Pima cotton
GEO Series GSE27242. Gossypium hirsutum; Gossypium barbadense; Gossypium raimondii; Gossypium arboreum. 4 samples. Type: Expression profiling by array.
Expression profiling in preadipocytes in obese Pima Indians/humans
GEO Series GSE2510. Homo sapiens. 56 samples. Type: Expression profiling by array.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.