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.
1,102
datasets available to search
ShareScore release 0.9.0
Dataset results
1,102 results for “human use”
Presentation in HEARING: High-resolution structural and functional EAR imaging 2023: Three-dimensional vibration of the human tympanic membrane using a scanning laser doppler vibrometer
<p>This is for Bastian Baselt's poster presentation in HEARING: High-resolution structural and functional EAR imaging, Ascona, Switzerland in 2023, and the related data.</p>
[Dataset for] Whole-brain meso-vein imaging in living humans using fast 7 T MRI
<p>This dataset is associated with:</p> <ul> <li>Gulban, Stirnberg, Tse, Pizzuti, Koiso, Archila-Melendez, Huber, Bollmann, Goebel, Kay, Ivanov, 2025. Whole-brain meso-vein imaging in living humans using fast 7 T MRI (Preprint).</li> </ul> <p>This dataset is also used in:</p> <ul> <li>Pizzuti, Bazin, Ivanov, Dresbach, Peter, Goebel, Gulban, 2024. Multimodal laminar characterization of visual areas along the cortical hierarchy (Preprint).</li> </ul> <p>More data are going to be be added as we progress with our manuscripts though their publications or upon request (please contact Omer Faruk Gulban).</p>
Insights into the DNA and RNA Interactions of Human Topoisomerase III Beta Using Molecular Dynamics Simulations
<p>hTOP3 simulations for both covalently and non-covalently bound DNA and RNA substrates. Simulation times = 300ns, with 1/ns per frame = 300 frames each.</p>
Dataset: Towards a representative reference for MRI-based human axon radius assessment using light microscopy
<p>Dataset for: Towards a representative reference for MRI-based human axon radius assessment using light microscopy</p>
Human-robot co-manipulation of soft materials: enable a robot manual guidance using a depth map feedback [Video]
<p>Video of the paper submitted at RO-MAN 2022 </p> <p>Human-robot co-manipulation of soft materials: enable a robot manual guidance using a depth map feedback<br> Giorgio Nicola, Enrico Villagrossi, Nicola Pedrocchi</p> <p>Code for trainings and test available at:</p> <p>https://github.com/giorgionicola/SMAHRCO</p>
Data Shared: Human land-uses homogenize stream assemblages and reduce animal biomass production
<p>This is a dataset compiled from 117 sampling stream sites distributed across two neotropical biomes (rainforest and grassland). Dataset included single scaled vales of human land-use (agriculture, pasture, urbanization, and afforestation), scaled values of multifaceted biodiversity of fish, arthropods, and macrophytes (taxonomic richness, functional diversity[FDis], CWV and CWM of trait categories [recruitment and life-history, resource and habitat-use, and body size]), scaled values of local environmental predictors (stream site depth, water quality deterioration index, and sediment heterogeneity index), scaled values of climate predictors (temperature and precipitation), and log of animal biomass (fish and arthropod). </p>
Human land-use effects on mammalian mesopredator occupancy of a northeastern Connecticut landscape
<p>Mammalian mesopredators—mid-sized carnivores—are ecologically, economically and socially important. With their adaptability to a variety of habitats and diets, loss of apex predators and forest regrowth, many of these species are increasing in number throughout the northeastern USA. However, currently the region is seeing extensive landscape alterations, with an increase in residential and industrial development especially at the expense of existing forest and small-scale farmland. We sought to understand how important an existing mosaic of working lands (timberland and farmland) in a forested landscape is to mesopredator species. We did this through studying mesopredator occupancy across three land uses (or habitat types): forest reserve (protected), timber harvest (shelterwood cuts) and field (both crop yielding and fallow) in and around a 3200-ha forest in northeastern Connecticut. We examined coyote (Canis latrans), bobcat (Lynx rufus), fisher (Pekania pennanti), and raccoon (Procyon lotor) occupancy using paired camera traps across juxtaposed reserve, shelterwood and field units from April 2018 to March 2019. We created a priori habitat variable models for each species and season, as well as analyzed the impact of habitat types on each species. Throughout the year bobcats positively associated with foliage height diversity, and had the highest use of shelterwoods and lowest of fields. Land use utilization varied seasonally for coyotes and raccoons, with higher use of fields than reserves and shelterwoods for half the year and no difference between land uses the other half. Both species were not strongly associated with any particular habitat variables. Reserve forest was moderately to highly used by all species for at least half the year, and highly use year-round by fisher. Our findings reveal that a mosaic of intact forest and working lands, timber harvest and agriculture can support mesopredator diversity.</p>
Data for: Development of a method for the measurement of human scent samples using comprehensive two-dimensional gas chromatography with mass detection
<p>This dataset was used for development of a method for the measurement of human scent samples using comprehensive two-dimensional gas chromatography with mass detection [<a href="https://doi.org/10.1016/j.forsciint.2016.09.011">https://doi.org/10.1016/j.forsciint.2016.09.011</a>].</p> <p>The dataset contains chromatograms of a model mixture of human scent and chromatograms of the human scent of one volunteer measured on different column setups. Each sample was processed in ChromaToF(version 4.72.0.0) by LECO corp. The processing step was executed at the signal-to-noise (SN) ratio levels 100, 300, and 500 (human scent samples chromatograms).</p>
High resolution ancient sedimentary DNA shows that alpine plant diversity is associated with human land use and climate change
<p>The European Alps are highly rich in species, but their future may be threatened by ongoing changes in human land use and climate. Here, we reconstructed vegetation, temperature, human impact and livestock over the past ~12,000 years from Lake Sulsseewli, based on sedimentary ancient plant and mammal DNA, pollen, spores, chironomids, and microcharcoal. We assembled a highly-complete local DNA reference library (PhyloAlps, 3,923 plant taxa), and used this to obtain an exceptionally rich <em>sed</em>aDNA record of 366 plant taxa. Vegetation mainly responded to climate during the early Holocene, while human activity had an additional influence on vegetation from 6 ka onwards. Land-use shifted from episodic grazing during the Neolithic and Bronze Age to agropastoralism in the Middle Ages. Associated human deforestation allowed the coexistence of plant species typically found at different elevational belts, leading to levels of plant richness that characterise the current high diversity of this region. Our findings indicate a positive association between low-intensity agropastoral activities and precipitation with the maintenance of the unique subalpine and alpine plant diversity of the European Alps.</p>
Using a whole-body 31P birdcage transmit coil and 16-element receive array for human cardiac metabolic imaging at 7T
<p>The uploaded data relate to the PLoS ONE manuscript of Valkovič et al. entitled "Using a whole-body 31P birdcage transmit coil and 16-element receive array for human cardiac metabolic imaging at 7T." 2017<br> The data consist of the models used for simulating electromagnetic fields, in CST Studio 2016 format, for the whole-body coil and the surface coil, and of the the phantom and anonnymised in vivo data, in Siemens DICOM format, acquired as described in the manuscript.</p>
Supplementary File 8; The full data set derived from formal quantitative surveys of land cover types and activities of humans, livestock and wildlife (Section 2.3) that were used for the analyses described in sections 2.4, 2.5 and 2.7
Open the record for dataset details and reuse information.
Streamflow Prediction in Human-Regulated Catchments Using Multiscale LSTM Modeling with Anthropogenic Similarities
<p>These codes are used in the paper entitled"Streamflow Prediction in Human-Regulated Catchments Using Multiscale LSTM Modeling with Anthropogenic Similarities" which is submitted to the Journal of Water Resources Research. The code for the differentiable parameter learning (DPL) model can be downloaded at https://doi.org/10.5281/zenodo.7091334. The code for LSTM to reproduce our analysis is available at <a href="https://github.com/neuralhydrology/neuralhydrology">https://github.com/neuralhydrology/neuralhydrology</a>. The SWORD database utilized in our study can be accessed at https://zenodo.org/records/10013982. The geometric dataset of the global river attribute information for every river reach, the values of all pressure indicators (DOF, DOR,SED, USE, RDD and URB) and the values for the CSI are available at https://doi.org/10.6084/m9.figshare.7688801.</p>
Helperfiles for using hmmix for calling archaic introgression into present day humans (both hg19 and hg38)
<p>These files are:</p> <p>1) Strict callability masks from 1000 genomes project in hg19 and hg38 coordinates</p> <p>2) Outgroup files:</p> <p>hg38_Outgroup_1000g_HGDP.txt: Frequencies of derived alleles in 490 present individuals with Sub-Saharan related ancestry: 426 from 1000genomes project and 64 from HGDP (total=490) Only first two columns are used by hmmix. The remaining columns what the reference base (hg38 refgenome), ancestral base, derived bases and the frequency of the derived bases in HGDP and 1000genomes</p> <p>hg19_Outgroup_1000g.txt: Frequencies of derived alleles in 292 present individuals with Sub-Saharan related ancestry from 1000genomes</p> <p>3) The mutation rate files are based on the outgroup files. They report the mutation rate in 1 Mb window scaled by the genomewide mutation rate </p> <p>4) The reference genome for hg19 and hg38</p> <p>5) The ancestral allele calls for hg19 and hg38</p>
Data from: Elephant pathway use in a human-dominated landscape
<p>Habitat loss and fragmentation are one of the biggest threats facing wildlife today. Understanding the role of wildlife pathways in connecting resource areas is key to maintain landscape connectivity, reduce the impacts of habitat loss and help address human-wildlife conflict. In this study, we used sign surveys and camera trapping to understand the fine scale movement of elephants moving between a protected area and agricultural zone in the Masai Mara, Kenya. We used Generalised Linear Models to determine factors driving high frequency of pathway use by elephants. Our results showed strong seasonal trends in pathway use, with peaks coinciding with the dry season. However, no correlations between rainfall and pathway use were found. Temporal patterns of pathway use indicate that elephants use risk avoidance strategies by moving between the two areas at times of low human disturbance. Spatial analysis revealed that the most frequently used pathways were closer to farms, saltlicks and forest and those that had a higher percentage of forest cover. Our models also showed a positive relationship between pathway use and the number of elephant crop raiding incidents, highlighting that pathways can play a role in human-elephant conflict. As habitat loss continues, pathways may become more important for linking resources. However, they are also likely to facilitate movement into farmland. The results from this study provide an opportunity for planned management activities to ensure connectivity and to mitigated conflict.</p>
Reshaping Foramen Magnum Research. Analyzing foramen magnum variation in modern humans using 2D osteometry and 3D geometric morphometrics – A master thesis summary and research review. Supplementary Materials.
<p>This supplementary materials document refers to: <em>Göldner, D., 2024. Reshaping Foramen Magnum Research. Analyzing foramen magnum variation in modern humans using 2D osteometry and 3D geometric morphometrics – A master thesis summary and research review. Mitteilungen der Berliner Gesellschaft für Anthropologie, Ethnologie und Urgeschichte 44 (2023).</em></p> <p> </p> <p> </p>
Data from: Early detection of human impacts using acoustic monitoring: an example with forest elephants
<p>The impacts of human activities and climate change on animal populations often take considerable time before they are reflected in typical measures of population health such as population size, demography, and landscape use. Earlier detection of such impacts could enhance the effectiveness of conservation strategies, particularly for species with slow population growth. Passive acoustic monitoring is increasingly used to estimate occupancy and population size, but this tool can also monitor subtle shifts in behavior that might be early indicators of changing impacts. Here we use data from an acoustic grid, monitoring 1250 km<sup>2</sup> of forest in the northern Republic of Congo, to study how forest elephants (<em>Loxodonta cyclotis</em>) assess the risk of poaching across a landscape that includes a national park as well as active and inactive logging concessions. By quantifying emerging patterns of behavior at the population level, arising from individual-based decisions, we gain an understanding of how elephants perceive their landscape along an axis of human disturbance. Forest elephants in relatively undisturbed forests are active nearly equally day and night. However, they become more nocturnal when exposed to a perceived risk such as poaching. We assessed elephant perception of risk by monitoring changes in the likelihood of nocturnal activity relative to differing levels of human activity. We show that logging is perceived to be a risk on short-time and small spatial scales but with little effect on animal density. However, risk avoidance persisted in areas with relatively easy access to poachers and in more open habitats where poaching has historically been concentrated. Increased nocturnal activity is a common response in many animals to human intrusion on the landscape. Provided a species is acoustically active, passive acoustic monitoring can measure changes in human impact at the early stages of such change, informing management priorities.</p>
Geospatial dataset on human uses, environmental components and MSFD pressure for the Adriatic Sea
<p>Geospatial dataset on human uses, environmental components and MSFD pressure for the Adriatic Sea (reference year 2014-2015). The datasets are derived from ADRIPLAN Portal (http://data.adriplan.eu/) and is suitable for cumulative effects assessment (CEA), maritime use conflict (MUC) analysis and CEA-based marine ecosystem service threat analysis (MES-Threat).</p> <p> </p>
Simulation data for "MicroPro: using metagenomic unmapped reads to provide insights into human microbiota and disease associations"
<p>This is the simulation data used in the analysis of microbiome-disease association using MicroPro pipeline. Samples 0-24 and 25-49 are cases and controls respectively.</p>
Human sequence alignment data set used for analysis of SPDI algorithm and tools
<p>Collection of alignment segments produced on October 30, 2019. The ADS currently consists of over 2,680,000 pairwise alignment segments generated from over 350,000 distinct input sequences. </p> <ul> <li> <p>Old assembly to current Genome Reference Consortium (GRC) <a href="http://f1000.com/work/citation?ids=111899&pre=&suf=&sa=0">(Church et al., 2011)</a> primary assemblies (e.g. GRCh36(hg18) or GRCh37(hg19) with GRCh38(hg38))</p> </li> </ul> <ul> <li> <p>Patches, alternative loci, or pseudoautosomal regions (PAR) to GRC primary assembly</p> </li> <li> <p>RefSeq <a href="http://f1000.com/work/citation?ids=2599029&pre=&suf=&sa=0">(O’Leary et al., 2016)</a> and select GenBank <a href="http://f1000.com/work/citation?ids=6183037&pre=&suf=&sa=0">(Benson et al., 2018)</a> transcripts to selected RefSeq genomic regions, also known as RefSeqGene (NG), a member of the Locus Reference Genome (LRG) collaboration <a href="http://f1000.com/work/citation?ids=3225699&pre=&suf=&sa=0">(Dalgleish et al., 2010)</a>.</p> </li> <li> <p>Current RefSeq transcripts (NM/NR/XM/XR) and RefSeq genomic regions (NG) to the latest Assembly</p> </li> <li> <p>Previous versions of NG and RefSeq transcripts (NM/NR) to GRC primary assembly</p> </li> </ul>
Dataset for "Detection and quantification of ergothioneine in human serum using surface enhanced Raman scattering (SERS)"
Open the record for dataset details and reuse information.
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.