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3,480 results for “a value”

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zenodo40/100

Tropical dry woodland loss occurs disproportionately in areas of highest conservation value

<p>This data repository contains the data results used to analyse how deforestation dynamics relate to areas of woodland protection and to conservation priorities across the world&#39;s tropical dry woodlands. We do this&nbsp;for the period of 2000 to&nbsp;2020,&nbsp;at 10-km spatial resolution (Coordinate System: WGS_1984_Mollweide, float format) following Buchadas et al. (2022) methods available&nbsp;&nbsp;in https://doi.org/10.1038/s41893-022-00886-9. Datasets used for this analysis are generally publicly available, forest cover and loss data are available at: https://data.globalforestwatch.org/. The data on protected areas is available at https://www.protectedplanet.net/. The global conservation priority layers have been made openly available as part of Jung et al. (2021) at&nbsp;https://doi.org/10.5281/zenodo.5006332.&nbsp;The map of Indigenous Peoples&#39; Lands can be obtained from the authors on reasonable request (Garnett et al. 2018).&nbsp;The data are not publicly available due to privacy or ethical restrictions. Thus we refrain from sharing the primary data that includes it, here.</p> <p>Further details of the datasets can be found in Buchadas et. al. (2023)</p> <p>For further questions or issues with the datasets, please contact Ana Buchadas at ana.buchadas@geo.hu-berlin.de.</p>

opencc-by-4.0Jun 2023View details →
zenodo40/100

Рис. 26. Сравнение среΑних значений частоты изменчивости эΛементов рисунка и инΑекса пигментации Mesobuthus eupeus в посеΛениях из разнотипных (А) и оΑнотипных (В) биотопов в кажΑой из выборок: I – Северо-ЗапаΑный Гобустан; II – Северо-Восточный Гобустан; III – ЦентраΛьный Гобустан; IV – Юго-Восточный Гобустан; V – Юго-Восточный Ширван. ИнΑекс корреΛяции r в преΑеΛах 0.744–0.989; p <0.05. Fig. 26. Comparison of the average values of the frequency of variability of pattern elements and the pigmentation index of Mesobuthus eupeus in conglomerations from habitats of different types (A) and of the same type (B) in each sample: I – northwestern Gobustan; II – northeastern Gobustan; III – central Gobustan; IV – southeastern Gobustan; V – southeastern Shirvan. Correlation index r = 0.744–0.989; p <0.05. in Materials on the colour pattern variability of Mesobuthus eupeus (C.L. Koch, 1839) (Arachnida: Scorpiones) in southeastern Shirvan and Gobustan (Eastern Azerbaijan)

Рис. 26. Сравнение среΑних значений частоты изменчивости эΛементов рисунка и инΑекса пигментации Mesobuthus eupeus в посеΛениях из разнотипных (А) и оΑнотипных (В) биотопов в кажΑой из выборок: I – Северо-ЗапаΑный Гобустан; II – Северо-Восточный Гобустан; III – ЦентраΛьный Гобустан; IV – Юго-Восточный Гобустан; V – Юго-Восточный Ширван. ИнΑекс корреΛяции r в преΑеΛах 0.744–0.989; p &lt;0.05. Fig. 26. Comparison of the average values of the frequency of variability of pattern elements and the pigmentation index of Mesobuthus eupeus in conglomerations from habitats of different types (A) and of the same type (B) in each sample: I – northwestern Gobustan; II – northeastern Gobustan; III – central Gobustan; IV – southeastern Gobustan; V – southeastern Shirvan. Correlation index r = 0.744–0.989; p &lt;0.05.

opencc-by-4.0Mar 2022View details →
zenodo40/100

Selected BMRB 1D 1H NMR data and physical chemistry values compiled from literature

<p>This dataset&nbsp;contains&nbsp;a collection of a few 1D 1H nuclear magnetic resonance (NMR) spectroscopy&nbsp;experiment data from the Biological Magnetic Resonance Data Bank (BMRB). I collected them for reference on Zenodo because the BMRB in recent years have switched servers and adopted new web APIs, and I want to have this data in a data archive for ease of reproducing the results in my work. Please cite (doi: 10.1093/nar/gkac1050) if you use the BMRB data from this dataset,&nbsp;or consider downloading from their website.</p> <p>This dataset also contains my compiled lists of physical chemistry NMR parameters (chemical shift, J-coupling) from literature and public domain sources for select compounds. One source is&nbsp;the Guided Ideographic Spin System Model Optimization (GISSMO) website, which is based on (DOI: 10.1021/acs.analchem.7b02884) and (DOI: 10.1021/acs.analchem.8b02660).&nbsp;Another source I used is (DOI: 10.1002/nbm.3336).&nbsp;Please cite these sources in addition to this dataset if you use any of the physical chemistry information in this dataset. See the read me file for the format details.</p> <p>I do not guarantee&nbsp;the accuracy of any of the data in this dataset.</p>

opencc-by-4.0Jul 2023View details →
zenodo40/100

OM-OR Conference Value Survey Dataset

<p>This dataset contains the findings of a global survey conducted&nbsp;with the members of 4 international academic societies from the field of Operations Management &amp; Operations Research (INFORMS, MSOM, POMS, EurOMA) on how scholars perceive the value of in-person and virtual conferences. The dataset is provided in both .csv and .xlsx formats. The dataset is linked to the&nbsp;article below, where all the details regarding data collection and analysis can be found.</p><p>Cavallin Toscani, A.,&nbsp;Atasu, A., Van Wassenhove, L.N., &amp; Vinelli, A. (2023).&nbsp;In-Person or Virtual? What Will Operations Management/Research Conferences Look Like?. <i>Manufacturing &amp; Service Operations Management</i>. <a href="https://doi.org/10.1287/msom.2022.0591">https://doi.org/10.1287/msom.2022.0591</a></p>

opencc-by-4.0Dec 2022View details →
dryad40/100

Computational mechanisms underlying latent value updating of unchosen actions

<p><span>Current studies suggest that individuals estimate the value of their choices based on observed feedback. Here, we ask whether individuals also update the value of their unchosen actions, even when the associated feedback remains unknown. </span><span>One hundred and seventy-eight</span><span> individuals completed a multi-armed bandit task, making choices to gain rewards. We found robust evidence suggesting latent value updating of unchosen actions based on the chosen action's outcome. Computational modeling results suggested that this effect is mainly explained by a value updating mechanism whereby individuals integrate the outcome history for choosing an option with that of rejecting the alternative. Properties of the deliberation (i.e., duration/difficulty) did not moderate the latent value updating of unchosen actions, suggesting that memory traces generated during deliberation might take a smaller role in this specific phenomenon than previously thought. We discuss the mechanisms facilitating credit assignment to unchosen actions and their implications for human decision-making.</span></p>

opencc-zeroAug 2023View details →
zenodo40/100

Scientific Value Agent companion data

<p>Companion data for the Scientific Value Agent manuscript. To use, unzip all tarballs into a &quot;results&quot; directory in the root of&nbsp;<a href="https://github.com/matthewcarbone/ScientificValueAgent">https://github.com/matthewcarbone/ScientificValueAgent</a>. All notebooks should then work as-is.</p> <p>Results from 23-09-02 have also been uploaded. These contain some data used in the supplementary data of our manuscript in which we fix the regularization parameter of our procedure.</p>

opencc-by-4.0Jul 2023View details →
zenodo40/100

Quantification of the value of selected Nature's Contributions to People provided by Low Trophic Species aquaculture

<p>This dataset was generated by the work on quantification of Nature&rsquo;s Contributions to People (NCPs) provided by Low Trophic Species (LTS) aquaculture. The quantification and analysis of selected NCPs was performed based on selected indicators&nbsp;using data from the case studies within the AquaVitae project and literature reviews.</p>

opencc-by-4.0Dec 2022View details →
zenodo40/100

The value framework of open research data_Appendix-v3

<p>The supplementary data and the final version of the questionnaire&nbsp;"<strong>Survey on the 'Value of Open Research Data'".</strong></p>

opencc-by-4.0May 2023View details →
zenodo40/100

Distinct value computations support rapid sequential decisions

<p>This behavioral and modeling data was used and described in the following paper:Mah, A., Schiereck, S.S., Bossio, V., Constantinople, C.M. (2023). Distinct value computations support rapid sequential decisions. Nature Communications.The dataset comprises&nbsp;</p><p>1) Behavioral data for the value-based decision making task in rats, and&nbsp;</p><p>2) computational models fit to the rat behavioral data.&nbsp;</p><p>All files are Matlab data (.mat) files. The code to analyze this data and generate all figures in Mah et al., 2023 is available at {https://github.com/constantinoplelab/published/tree/main/rat_behavior. Data was analyzed using Matlab 2023a with the following additional toolboxes:<br>Curve Fitter<br>Optimization<br>Signal Analyzer</p><p>&nbsp;</p><p>Funding: This work was supported by a K99/R00 Pathway to Independence Award (R00MH111926), an Alfred P. Sloan Fellowship, a Klingenstein-Simons Fellowship in Neuroscience, an NIH Director's New Innovator Award (DP2MH126376), an NSF CAREER Award, R01MH125571, and a McKnight Scholars Award to C.M.C. A.M. was supported by 5T90DA043219 and F31MH130121. A.M. and S.S.S. were supported by 5T32MH019524.</p>

opencc-by-4.0Oct 2023View details →
zenodo40/100

On the conversion of CO2 to value added products over composite PdZn and H-ZSM-5 catalysts: excess Zn over Pd, a compromise or a penalty? Supplementary information

<p>Supplementary Material: &nbsp;N2 adsorption, TEM, XAS, PXRD, test results</p>

opencc-by-3.0Jun 2020View details →
ClinicalTrials.gov40/100

Comparison of Glucose Values and Variability Between TOUJEO and TRESIBA During Continuous Glucose Monitoring in Type 1 Diabetes Patients

ClinicalTrials.gov study NCT04075513. IPD Sharing: YES. Countries: 7. Publications: 1.

controlledIPD-YESFeb 2026View details →
dryad40/100

Odontocete detections and corresponding values of environmental variables in the Hawaiian Archipelago

Open the record for dataset details and reuse information.

publicNov 2023View details →
dryad40/100

Data from: The scope and adaptive value of modulating aggression across breeding stages: Case study in a competitive female songbird

Open the record for dataset details and reuse information.

publicMay 2024View details →
dryad40/100

Time and matrix quality increase the relative habitat value of smaller patches in fragmented landscapes

Open the record for dataset details and reuse information.

publicJan 2025View details →
dryad40/100

Datasets and R code for: Brood as booty: The effect of colony size and resource value in social insect contests

Open the record for dataset details and reuse information.

publicMar 2022View details →
dryad40/100

Computational mechanisms underlying latent value updating of unchosen actions

Open the record for dataset details and reuse information.

publicAug 2023View details →
dryad40/100

Genotype and genetic diversity data for: Contrasts in riverscape patterns of intraspecific genetic variation in a diverse Neotropical fish community of high conservation value

Open the record for dataset details and reuse information.

publicApr 2023View details →
dryad40/100

Hidden causes of variation in offspring reproductive value: negative effects of maternal breeding age on offspring telomere length persist undiminished across multiple generations

Open the record for dataset details and reuse information.

publicJan 2026View details →
dryad40/100

Simple attributes predict the value of plants as hosts to fungal and arthropod communities

Open the record for dataset details and reuse information.

publicFeb 2022View details →
dryad40/100

Assessing the value of monitoring to biological inference and expected management performance for a European goose population

Open the record for dataset details and reuse information.

publicOct 2022View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.