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.
149
datasets available to search
ShareScore release 0.9.0
Dataset results
149 results for “offset”
On Synchronization of Wireless Acoustic Sensor Networks in the Presence of Time-varying Sampling Rate Offsets and Speaker Changes
<p>We present an open-source database for evaluation of time synchronization algorithms for wireless acoustic sensor networks . More Information and examples on how to use the database can be found on our GitHub page: <a href="https://github.com/fgnt/paderwasn">https://github.com/fgnt/paderwasn</a></p>
Map and offsets of the Ar-Hötöl surface rupture along the Khovd fault (Mongolian Altay)
<p><strong>Detailed map of the surface ruptures and affected geomorphological markers for the Ar-Khutul section of the Khovd Fault in the Mongolian Altay. Observations are based on a multi-scale approach combining a range of airborne and terrestrial imaging and topographic techniques: Sentinel-2, Pleiades, TanDEM-X, UAV, and terrestrial laser scanning. This dataset is composed of a detailed map of tectonic scarps with a distribution of offset values below 10 m.</strong></p>
Monitoring creep along the Hayward Fault using structure-from-motion photogrammetry of offset curbs"
<p>Point clouds for each observed offset curbs along the Hayward Fault in Fremont, California between 2016 to 2018. </p>
VCF datasets and analysis scripts for: The combination of genomic offset and niche modelling provides insights into climate change-driven vulnerability
<p>Global warming is increasingly exacerbating biodiversity loss. Populations locally adapted to spatially heterogeneous environments may respond differentially to climate change, but this intraspecific variation has only recently been considered when modelling vulnerability under climate change. Here, we incorporate intraspecific variation in genomic offset and ecological niche modelling to estimate climate change-driven vulnerability in two bird species in the Sino-Himalayan Mountains. We found that the cold-tolerant populations show higher genomic offset but risk less challenge for niche suitability decline under future climate than the warm-tolerant populations. Based on a genome-niche index estimated by combining genomic offset and niche suitability change, we identified the populations with the least genome-niche interruption as potential donors for evolutionary rescue, i.e., the populations tolerant to climate change. We evaluated potential rescue routes via a landscape genetic analysis. Overall, we demonstrate that the integration of genomic offset, niche suitability modelling, and landscape connectivity can improve climate change-driven vulnerability assessments and facilitate effective conservation management.</p>
Data and code for "Change in grounding line location on the Antarctic Peninsula measured using a tidal motion offset correlation method" by Wallis et al. 2024
<p>This data and code is made available to support the article: "Change in grounding line location on the Antarctic Peninsula measured using a tidal motion offset correlation method" by Wallis et al. 2024".</p> <p>Includes: TMOC method output tide correlation, Antarctic Peninsula grounding line, DInSAR data, TMOC Code.</p> <p> </p> <p><strong>For the data:</strong></p> <p>These data are made available to acompany the article "Change in grounding line location on the Antarctic Peninsula measured using a tidal motion offset correlation method" by Wallis et al. (2024)</p> <p>This datset contains:</p> <p>AP_TMOC_tide_correlation_2019_2020.tif - Significance adjusted tide correlation values for the TMOC method for 2019-2020 for the Antarctic Peninsula.</p> <p>AP_GL_TMOC_2019_2020.shp - A continuous grounding line made from TMOC data and British Antarctic Survey Coastline Data. Intended for use by others.</p> <p>AP_GL_TMOC_2019_2020_source.shp - A discontinuous grounding line made from TMOC data and British Antarctic Survey Coastline Data including the source of each line segment.</p> <p>The folder 'Interferograms' contains the DInSAR products used in the manuscript, sorted by Sentinel-1 frame</p> <p> </p> <p><strong>For the code:</strong></p> <p>This code is made available to support the article "Change in grounding line location on the Antarctic Peninsula measured using a tidal motion offset correlation method" by Wallis et al.</p> <p>The authors take no responsibility for the quality of results derived using this code.</p> <p>This code is licensed under a Creative Commons Attribution 4.0 International Licence: http://creativecommons.org/licenses/by/4.0/</p> <p>external functions required:<br>geoimread - https://uk.mathworks.com/matlabcentral/fileexchange/46904-geoimread<br>polarstreo_inv - https://uk.mathworks.com/matlabcentral/fileexchange/32907-polar-stereographic-coordinate-transformation-map-to-lat-lon<br>CATS208 tide model and TMD 2.5 matlab toolbox - https://www.esr.org/research/polar-tide-models/tmd-software/</p> <p>The function TMOC_GL_v8 implements the TMOC method descibed in Wallis et al. 2024. This is a 'bring your own data' version.</p> <p>The script pp_folder prost-processes the outputs using the functuon LPfilt_cc</p> <p> </p>
Dataset for "Role of electron-phonon coupling and thermal expansion on band gaps, carrier mobility, and interfacial offsets in kesterite thin-film solar cells"
<p>Dataset for "Role of electron-phonon coupling and thermal expansion on band gaps, carrier mobility, and interfacial offsets in kesterite thin-film solar cells"</p>
Code for "An increasing Arctic-boreal CO2 sink offset by wildfires and source regions"
<p>This repository includes the codes used to produce the results in Virkkala et al. (2024) in review. "An increasing Arctic-boreal CO2 sink offset by wildfires and source regions" (preprint: https://doi.org/10.1101/2024.02.09.579581). In short, there are R codes used to train random forest models, estimate importance scores and partial dependences for the variables, assess model predictive performance and uncertainties, predict (i.e. upscale) with the models and summarize model outputs using R version 4.2. Note that some of the datasets and results (e.g. monthly geospatial predictors or upscaling outputs) were not included in the repository due to their large file size (hundreds of GBs). Therefore, some of the paths to the files included in the codes are not working. These additional files are available from the corresponding author upon request. </p> <p><strong>Folder structure:</strong></p> <p><em>flux_upscaling_data</em>: includes the model training data, i.e. in-situ data as well as environmental data extracted from geospatial datasets</p> <p><em>abcflux_modeling: </em>includes the R analysis scripts in the codes-folder</p> <p><em>abcflux_modeling_bigfiles: </em>includes the key results and figures produced by the scripts</p> <p><strong>More details from avirkkala@woodwellclimate.org and from manuscript:</strong></p> <div>Anna-Maria Virkkala, Brendan M. Rogers, Jennifer D. Watts, Kyle A. Arndt, Stefano Potter, Isabel Wargowsky, Edward A. G. Schuur, Craig See, Marguerite Mauritz, Julia Boike, Syndonia M. Bret-Harte, Eleanor J. Burke, Arden Burrell, Namyi Chae, Abhishek Chatterjee, Frederic Chevallier, Torben R. Christensen, Roisin Commane, Han Dolman, Bo Elberling, Craig A. Emmerton, Eugenie S. Euskirchen, Liang Feng, Mathias Goeckede, Achim Grelle, Manuel Helbig, David Holl, Järvi Järveoja, Hideki Kobayashi, Lars Kutzbach, Junjie Liu, Ingrid Liujkx, Efrén López-Blanco, Kyle Lunneberg, Ivan Mammarella, Maija E. Marushchak, Mikhail Mastepanov, Yojiro Matsuura, Trofim Maximov, Lutz Merbold, Gesa Meyer, Mats B. Nilsson, Yosuke Niwa, Walter Oechel, Sang-Jong Park, Frans-Jan W. Parmentier, Matthias Peichl, Wouter Peters, Roman Petrov, William Quinton, Christian Rödenbeck, Torsten Sachs, Christopher Schulze, Oliver Sonnentag, Vincent St.Louis, Eeva-Stiina Tuittila, Masahito Ueyama, Andrej Varlagin, Donatella Zona, and Susan M. Natali. An increasing Arctic-boreal CO<sub>2</sub> sink offset by wildfires and source regions.</div> <div>bioRxiv 2024.02.09.579581; doi: https://doi.org/10.1101/2024.02.09.579581</div>
CARB forest offset project wildfire risk ratings
<p>Wildfire risk reversal ratings assigned to forest offset projects participating in California's forest carbon offset program. </p>
Data for: Bridging the gap between microclimate and microrefugia: A bottom‐up approach reveals strong climatic and biological offsets
<p>In the context of global warming, a clear understanding of microrefugia, microsites enabling the survival of species populations outside their main range limits, is crucial. Several studies have identified forcing factors that are thought to favor the existence of microrefugia. However, there is a lack of evidence to conclude whether, and to what extent, the climate encountered within existing microrefugia differs from the near surrounding climate. So, we adopt a "bottom-up" approach, linking marginal disconnected populations to microclimate.</p> <p>We used the southernmost disconnected and abyssal populations of the circumboreal herbaceous plant <em>Oxalis acetosella</em> in Southern France to study whether populations matching the definition of "microrefugia" occur in particularly favorable climatic conditions compared to neighboring control plots distant about 50 m to 100 m. Temperatures were recorded in putative microrefugia and in neighboring plots for approximately 2 years to quantify their thermal offsets. Vascular plant inventories were carried out to test whether plant communities also reflect microclimatic offsets.</p> <p>We found that current microclimatic dynamics are genuinely at stake in microrefugia. Microrefugia climates are systematically colder compared to those found within 50 m to 100 m distant. This pattern was more noticeable during the summer months. Abyssal populations showed stronger offsets compared to neighboring plots than the putative microrefugia occurring at higher altitudes. Plant communities demonstrate this strong spatial climatic variability, even at such a microscale approach, as species compositions systematically differed between the two plots, with species more adapted to colder and moister conditions in microrefugia compared to the surrounding area.</p>
LULC input and CLM5 carbon output "Chemistry-albedo feedbacks offset up to a third of forestation's CO2 removal benefits."
<p>Land use land cover (LULC) files for the CESM and UKESM simulations performed for the study "Chemistry-albedo feedbacks from reforestation reduce climate benefits and crop yields. The input data was processed to make it compatible for UKESM as described in Weber et al (2022) https://doi.org/10.5194/egusphere-2022-748.</p>
Soil, litter and vegetation carbon for the 6 simulations performed in CLM5 of "Chemistry-albedo feedbacks offset up to a third of forestation's CO2 removal benef"
<p>Soil, litter and vegetation carbon for the 6 simulations performed in CLM5 (Table S1) of "Chemistry-albedo feedbacks from reforestation reduce climate benefits and crop yields"</p> <p>i.clm5.global_MF_SSP1.h1.2015-2100_zip.nc - SSP126_MF_Land</p> <p>i.clm5.global_SSP1_nolulcc.clm2.h1.2015-2100_zip.nc - SSP126_2015_Land </p> <p>i.clm5.global_SSP1.h1.2015-2100_zip.nc - SSP126_Land</p> <p>i.clm5.global_MF_SSP3.02.h1.2015-2100_zip.nc - SSP370_MF_Land</p> <p>i.clm5.global_SSP3.02.h1.2015-2100_zip.nc - SSP370_Land</p> <p>i.clm5.global_SSP3_nolulcc.clm2.h1.2015-2100_zip.nc - SSP370_2015_Land</p> <p> </p> <p>These simulations were performed by Dr James King, University of Sheffield.</p> <p> </p>
UKESM1 Data accompanying "Chemistry-albedo feedbacks offset up to a third of forestation's CO2 removal benefit"
<p>UKESM1 Data accompanying "Chemistry-albedo feedbacks from reforestation reduce climate benefits and crop yields".</p> <p>The UKESM1_README provides an explanation of the diagnostics.</p> <p>These simulations were performed by Dr James Weber, University of Sheffield.</p> <p> </p>
CESM2 Data accompanying "Chemistry-albedo feedbacks offset up to a third of forestation's CO2 removal benefits."
<p>CESM2 Data accompanying "Chemistry-albedo feedbacks from reforestation reduce climate benefits and crop yields".</p> <p>The CESM2_README provides an explanation of the diagnostics.</p> <p>These simulations were performed by Dr James King, University of Sheffield.</p>
Rapid acceleration offsets the costs of intermittent locomotion in lizards when turning
<p>Intermittent locomotion is a common locomotor mode in small vertebrates. Pausing is thought to aid in locating a predator or prey, enhanced crypsis, lowering energy costs, and/or maneuvering around obstacles or towards a refuge. Many lizards flee predators by turning as they pass a potential refuge and subsequently pause, presumably to conceal themselves. Intermittent locomotion may be associated with turning by allowing an animal time to assess its surroundings and/or decreasing the likelihood of losing its footing before or after turning. In this study, we quantify locomotor performance and the use of intermittent locomotion in Florida Scrub Lizards (<em>Sceloporus woodi</em>) when navigating either a 45° or 90° turn. Lizards paused in 92% of all trials, and yet despite pausing, linear speed was not different prior to entering or when exiting the turn. This result suggests that turning comes at minimal cost to forward speed for lizards under these conditions. The angle of the turn had no effect on whether lizards paused, nor was there a relationship with pausing before or after the turn. Interestingly, the speed in the turn did not differ in trials with a pause before the turn vs. trials without a pause. We found that lizards increase peak acceleration following pauses to achieve similar speed, and hence explain both why, and how, intermittent locomotion is such a common strategy in predator escape.</p>
Additional data supporting "Chemistry-albedo feedbacks offset up to a third of forestation's CO2 removal benefits."
<p>Additional data for study "Chemistry-albedo feedbacks offset up to a third of forestation’s CO2 removal benefits". UKESM data is prefixed with "UKESM_" and CESM data starts with "CAM-Chem_". Please see READMEs for additional details on the UKESM and CESM data.</p> <p> </p> <p> </p>
A Study of the Onset and Offset of Antiplatelet Effects Comparing Ticagrelor, Clopidogrel, and Placebo With Aspirin
ClinicalTrials.gov study NCT00528411. IPD Sharing: Not stated. Countries: 2. Publications: 5.
Genomic offset, telomere length, and abundance trends in Yellow Warblers
Open the record for dataset details and reuse information.
VCF datasets and analysis scripts for: The combination of genomic offset and niche modelling provides insights into climate change-driven vulnerability
Open the record for dataset details and reuse information.
Data from: Landscape heterogeneity can partially offset negative effects of habitat loss on mammalian biodiversity in agroecosystems
Open the record for dataset details and reuse information.
Heterothermy as a mechanism to offset energetic costs of environmental and homeostatic perturbations
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.