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.
106
datasets available to search
ShareScore release 0.9.0
Dataset results
106 results for “population projection”
Data from: Evaluating the importance of individual heterogeneity in reproduction to Weddell seal population dynamics using integral projection models
Open the record for dataset details and reuse information.
Gunnison's Prairie Dog Relocation Project: Population Dynamics within Grasslands at the Sevilleta National Widlife Refuge, New Mexico (2005-2014)
The Sevilleta Gunnison’s Prairie Dog (Cynomys gunnisoni) Restoration project examines keystone consumer (herbivore) effects on grassland in concert with ecological restoration of a “species of greatest conservation need in New Mexico” (NMGandF Comprehensive Wildlife Conservation Strategy, 2007). SevLTER partners directly with Sevilleta National Wildlife Refuge, New Mexico Game and Fish, USFS Rocky Mountain Research Station and non-profit Prairie Dog Pals on this ambitious effort to re-establish Gunnison’s prairie dogs to blue grama dominated (Bouteloua gracilis) Great Plains grassland at the foothills of the Los Pinos Mountains on Sevilleta. While engaged in wildlife management aimed at translocation of approximately 3000 individual prairie dogs, ultimately establishing 5-6 colonies over a 500 ha area, SevLTER is focusing resources on monitoring population dynamics of reintroduced prairie dogs and their effects on vegetation production and diversity, soil disturbance and grasshopper community composition. In this experiment, prairie dogs act as the treatment on a grassland site where the species was extirpated 40 years ago. The long term nature of the project lies in the course of re-establishing prairie dogs combined with the ultimate research goal of describing the functional role of Gunnison’s prairie dogs in an arid grassland ecosystem: first we are challenged to develop and document an economical and efficient management strategy which maximizes reintroduction success and colony survival; second we are tasked with monitoring prairie dog dynamics and their effects on the grassland throughout re-establishment and into a future state, when presumably management intervention will have subsided and we characterize the ecosystem as ‘restored’ – both in the face of highly variable abiotic inputs such as precipitation and temperature and biotic impacts such as predation.
Previst project; a Swiss campaing within the general population for crime prevention in sex work
<p>In this link, we share private pictures and videos from the campaign "We don't buy a body but a service, part of a crime prevention program in the canton of Vaud (Switzerland). The campaign aimed to prevent antisocial behaviour towards prostitutes by encouraging population's more realistic view of the sex work and by minimising the excuses for crime -the neutralisation techniques as defined by Sykes & Matza (1957).</p> <p>With the slogan “we don’t buy a body but a service”, we installed a panel in the prostitution neighbourhood in Lausanne (the capital of the canton of Vaud). We also organised four artistic performances in the city centre and we advertised the campaign through interviews with the media.</p> <p>Although the impact of this campaign on the behaviour of the population is difficult to assess, we estimated that the number of local citizens reached is non- negligible. We suggest that sex workers should be encouraged to participate in further campaigns towards the general population as well as the academia should collaborate with practitioners for evaluating the impact of such projects.</p>
Data from: The demographic effects of functional traits: an integral projection model approach reveals population-level consequences of reproduction-defense tradeoffs
Quantitatively linking individual variation in functional traits to demography is a necessary step to advance our understanding of trait-based ecological processes. We constructed a population model for Asclepias syriaca to identify how functional traits affect vital rates and population growth and whether tradeoffs in chemical defense and demography alter population growth. Plants with higher foliar cardenolides had lower fiber, cellulose, and lignin levels, as well as decreased sexual and clonal reproduction. Average cardenolide concentrations had the strongest effect on population growth. In both the sexual and clonal pathway, the tradeoff between reproduction and defense affected population growth. We found that both increasing the mean of the distribution of individual plant values for cardenolides and herbivory decreased population growth. However, increasing the variance in both defense and herbivory increased population growth. Functional traits can impact population growth and quantifying individual-level variation in traits should be included in assessments of population-level processes.
Data from: Early snowmelt projected to cause population decline in a subalpine plant
How climate change influences the dynamics of plant populations is not well understood, as few plant studies have measured responses of vital rates to climatic variables and modeled the impact on population growth. I used 25 years of demographic data to analyze how survival, growth, and fecundity respond to date of spring snow melt for a subalpine plant. Fecundity was estimated by seed production (over 15 years) and also divided into flower number, fruit set, seeds per fruit, and escape from seed predation. Despite no apparent effects on flower number, plants produced more seeds in years with later snowmelt. Survival and probability of flowering were reduced by early snow melt in the previous year. Based on demographic models, earlier snowmelt with warming is expected to lead to negative population growth, driven especially by changes in seedling establishment and seed production. These results provide a rare example of how climate change is expected to influence the dynamics of a plant population. They furthermore illustrate the potential for strong population impacts even in the absence of more commonly reported visual signs, such as earlier blooming or reduced floral display in early melting years.
Data for: Climate warming and projected loss of thermal habitat volume in lake populations of brook trout
<p>We applied an ensemble of climate warming models and the seasonal temperature profile model for lakes (STM) to assess changes in brook trout thermal habitat volume (THV) among lakes (N=100) within a large, protected area under two climate warming scenarios, RCP 4.5 and RCP 8.5. Brook trout thermal habitat was defined as 9-17°C. Climate warming projections for the balance of this century, regardless of RCP category, will result in the loss of brook trout habitat in lakes that range widely in size. THV loss will be most extensive in lakes that are relatively shallow given their surface area. By 2071-2100 under RCP 4.5, the 90<sup>th</sup> percentile of THV loss = 31% vs. 63% under RCP 8.5. By the century's end under RCP 8.5, the protected area landscape will be a matrix of lakes with some serving as climate refugia (with reduced THV) and others having severe reductions in THV (>90<sup>th</sup> percentile THV loss).</p>
SINGER-inferred targets for exceptional population differentiation in coalescence times in African populations in 1000 Genomes Project
<p>This repo saves the gene targets which shows the signal of population differentiation in coalescence times in African populations in 1000 Genomes Project. </p> <p>Here are the detailed explanations for the header of the files:</p> <p>chrom The chromosome where the genomic window is located (e.g., chr1, chrX).<br>window_start The 0-based start position of the genomic window being analyzed.<br>window_end The 1-based end position of the genomic window (exclusive).<br>score Ratio between the overall diversity and the population specific diversity, in the genomic window.<br>transcript_chrom The chromosome where the transcript is located.<br>transcript_start The 0-based start position of the transcript.<br>transcript_end The 1-based end position of the transcript (exclusive).<br>transcript_id The unique identifier for the transcript (e.g., Ensembl or RefSeq ID).<br>strand The strand of the transcript: "+" for forward, "-" for reverse.<br>coding_start The start position of the coding region of the transcript (if applicable).<br>coding_end The end position of the coding region of the transcript (if applicable).<br>RGB The RGB color used for visualization in genome browsers (format: R,G,B).<br>block_count The number of exons in the transcript.<br>block_sizes Comma-separated list of exon lengths (in base pairs).<br>block_starts Comma-separated list of exon start positions relative to transcript_start.</p>
South-East US historical and projected population per county for FUTURES urban growth modeling in GRASS GIS
<p>South East US historical (2001-2019) and projected (2020-2100) population per county for 6 states (NC, SC, TN, GA, AL, FL). Historical data come from The National Vital Statistics System (https://seer.cancer.gov/popdata/download.html) and future data are projected by Hauer 2019 (https://doi.org/10.1038/sdata.2019.5) for SSP2 scenario. Data are formatted for r.futures.demand module, which is a GRASS GIS addon for computing future land demand for FUTURES urban growth model. </p>
Dataset belonging to SNF project: Use of physiologically based pharmacokinetic modelling to simulate dosing requirements of long-acting intramuscular antiretroviral drugs in special populations and to manage drug-drug interactions
Open the record for dataset details and reuse information.
Dataset of the Volkswagen Fond Project no. 90 216 " Early mounted nomads and their vessels Ceramic analysis project aimed at supporting the reconstruction of socio-economic conditions in mobile populations north of the Black Sea between 1100 and 600 BC"
<p>The Excel-Sheet contains information (location of the site, chronological position, type of site, archaeological culture, literature, photographies and drawings, analysis made, results of the analysis, etc.) about the samples taken in the Volkswagen Fond Project no. 90 216 "Early mounted nomads and their vessels Ceramic analysis project aimed at supporting the reconstruction of socio-economic conditions in mobile populations north of the Black Sea between 1100 and 600 BC".</p> <p>The project itself focuses on contacts and interactions between groups with different material culture remains in two vegetation zones to the north of the Black Sea.The investigation takes a complex archaeometric approach to characterise the pottery of communities that lived in the forest steppe zone and steppe zone to the north of the Black Sea between the Dniester and Dnieper rivers between 1100 and 600 BC. By using an multidisciplinary approach to study the material culture of these communities with mobile lifeways, this project will allow the comparison of the natural science and archaeological data for the first time.</p> <p>The Excel-Sheet presents the results of various analyses performed during the project and serves as the database for publications of the project members.</p>
Block-level population projections in Washington state under different SSPs from 2020 to 2040
<p>This shapefile contains block-level population projections in Washington state under different Shared Socioeconomic Pathways (SSPs) for every decade from 2020 to 2040. </p> <p>CONTENTS:</p> <p>Pop_proj_block.7z</p> <ul> <li>contains block-level rural/urban/total population projections under SSP2, SSP3, and SSP5 for 2020, 2030, and 2040. In the shape file, each population projection is stored in one column, with the first two character of the column name representing SSPs ("S2": SSP2; "S3":SSP3; "S5":SSP5), the third character indicating population type ("R": rural; "U": urban; "T": total), and the year information is attached in the end. For example, "S2R2040" represents rural population projection for year 2040 under SSP2.</li> </ul> <p>README.txt</p> <ul> <li>Illustrates population projection downscaling methods.</li> </ul>
Reference genome resources associated with the project: Functional genetic diversity is correlated with intensity of genetic drift in populations of an endangered rattlesnake
<p class="MsoNormal">Theory predicts that genetic erosion in small, isolated populations of endangered species can be assessed using estimates of neutral genetic variation reflecting long-term impacts of genetic drift, yet this widely used approach has been questioned in the genomics era. Here we leverage a chromosome-level assembly and whole genome resequencing data (N=110 individuals) from an endangered rattlesnake (<em>Sistrurus catenatus</em>) to evaluate the relationship between genome-wide neutral and functional diversity over long- and short-term timescales. As predicted for populations at long-term equilibrium, we found a positive correlation between population-level estimates of neutral genetic diversity (π) and the mean number of highly detrimental loss-of-function mutations, and a negative relationship between neutral genetic diversity and an estimate of genetic load. In contrast, we found only a weak, non-significant positive correlation between levels of neutral and adaptive variation. Additional analyses using estimates of drift at more recent time scales (> 100 generations) show expected correlations between both measures of genetic load, but a lack of a significant correlation with levels of adaptive variation. Individual-based demographic metrics that capture drift impacts over recent time scales confirm these results. Broadly, our results confirm that estimates of diversity and demography based on neutral genetic variation provide an accurate measure of a key component of genetic erosion – genetic load – in populations of a threatened vertebrate. Our findings also provide nuance to the neutral-functional diversity controversy by demonstrating that neutral genetic diversity is useful in predicting some, but not all, components of functional genetic diversity.</p>
Data from: Early snowmelt projected to cause population decline in a subalpine plant
Open the record for dataset details and reuse information.
Data from: The demographic effects of functional traits: an integral projection model approach reveals population-level consequences of reproduction-defense tradeoffs
Open the record for dataset details and reuse information.
Reference genome resources associated with the project: Functional genetic diversity is correlated with intensity of genetic drift in populations of an endangered rattlesnake
Open the record for dataset details and reuse information.
Data for: Climate warming and projected loss of thermal habitat volume in lake populations of brook trout
Open the record for dataset details and reuse information.
Loch Vale Watershed Research Project site, station Boulder County, CO (FIPS 8013), study of population employed in commerce (percent of total) 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 Loch Vale Watershed Research Project (LVW) contains population employed in commerce (percent of total) measurements in percent units and were aggregated to a yearly timescale.
Loch Vale Watershed Research Project site, station Boulder County, CO (FIPS 8013), study of population employed at farms (percent of total) 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 Loch Vale Watershed Research Project (LVW) contains population employed at farms (percent of total) measurements in percent units and were aggregated to a yearly timescale.
Loch Vale Watershed Research Project site, station Boulder County, CO (FIPS 8013), study of population employed in manufacturing (percent of total) 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 Loch Vale Watershed Research Project (LVW) contains population employed in manufacturing (percent of total) measurements in percent units and were aggregated to a yearly timescale.
Loch Vale Watershed Research Project site, station Boulder County, CO (FIPS 8013), study of population employed in service (percent of total) 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 Loch Vale Watershed Research Project (LVW) contains population employed in service (percent of total) measurements in percent units and were aggregated to a yearly timescale.
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.