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.
1,245
datasets available to search
ShareScore release 0.7.1
Dataset results
1,245 results for “dating”
Indor इंदौर (Guna District, Madhya Pradesh). Detail of hero-stone dated VS 1177
<p>Indor इंदौर (Guna District, Madhya Pradesh). Detail of hero-stone dated VS 1177</p>
List and date of establishment of Marine Protected Areas and Key Biodiversity Areas of the Alboran Sea
<p>List of Marine Protected Areas and Key Biodiversity Areas for the Alboran Sea (Abbreviation in Spanish, French and English with lenguage among brackets- Fr: French; S: Spanish), indicating its figure of conservation, year of establishment for each figure of protection and national or regional management body (in brackets). IBA: Importante Bird Area; IMMA: Important Marine Mammals Area; MR: Marine Reserve; MR/FR: Marine and Fishing Reserve; NA: Natural Area; NM: Natural monument; NP: Natural Park; SPAMI: Specially Protected Areas of Mediterranean Importance; RAMSAR: Wetlands of International Importance (Ramsar Sites); SCI: Site of Community Importance of Natura 2000; SAC: Special Area of Conservation of Natura 2000; SPA: Special Protection Area of Natura 2000; ZEPA: Zona de Especial Protección para las Aves; ZEPIM: Zonas Especialmente Protegidas de Importancia para el Mediterráneo; LIC: Lugar de Importancia Comunitaria de Natura 2000; ZEC: Zona de Especial Conservación de Natura 2000; ASPIM: Aire Spécialement Protégée d'Importance Méditerranéenne; SIC: Site d'Importance Communautaire; ZPS: Zones de Protection Spéciale.</p>
40Ar/39Ar dating of the East Tenda Shear Zone: Chemical composition of white mica and ages data
<p>In order to clarify the link between <sup>40</sup>Ar/<sup>39</sup>Ar record in white mica and deformation, we performed <em>in situ</em> and bulkwise <sup>40</sup>Ar/<sup>39</sup>Ar dating over the East Tenda Shear Zone (Tenda massif, alpine Corsica). White micas from 11 samples were selected and extensively analyzed using <em>in situ</em> techniques across nested scales of strain-intensity gradients developed at the expense of a Late-Variscan protolith. <sup>40</sup>Ar/<sup>39</sup>Ar systematics are unaffected by inherited Ar and directly linked to deformation with little or no Ar lattice (volume) diffusion. Extensive sampling allows constraining the end of deformation related to burial and exhumation respectively at ~34 and ~22 Ma, bracketing the duration of regional extensional shear to ~12 Myr. Results also highlight a regional strain localization toward the upper contact of the unit with smaller-scale localization in specific lithologies, notably meta-aplites.</p> <p> Second-order complications exist, such as local ill-defined correlations between ages and finite-strain microstructures. Thus, the use of a strain gradient as a proxy for strain localization in time is regionally valid but sometimes locally too complex to track or resolve strain partitioning/localization trends at the meter (outcrop) scale and below. Age mixing and incomplete isotopic homogenization by dissolution/precipitation are identified as the main causes of local discrepancies that complicate the link between age and microstructure and the derivation of strain localization rates. Tracking temporal trends in shear distribution across regional-scale deformation gradients in such settings is possible but requires a multi-scale approach as implemented here to reveal younging patterns associated to strain localization.</p>
Survey data, models and dated samples of the Pliocene shorelines of Camarones, Argentina (Ver 1.1).
<p>The dataset cosists of a spreadsheet containing data on GPS surveys, dynamic topography extracted from published models (gplates.org), Shell preservation scoring, Strontium Isotopic Stratigraphy ages, and Global mean Sea Level calculations.</p> <p>Version 1.1 contains fixes to small errors and formulas.</p>
Figure 1 in Biology and life-table of Typhlodromus (Anthoseius) athenas (Acari: Phytoseiidae) fed with the Old World Date Mite, Oligonychus afrasiaticus (Acari: Tetranychidae)
Figure 1 Population dynamics ofO. afrasiaticus andT. (A.) athenas on date of 'Alig' cultivar at Segdoud, South of Tunisia in 2005 and 2006.
A QUESTIONNAIRE FOR THE ASSESSMENT OF VIOLENT BEHAVIORS IN YOUNG COUPLES: THE ITALIAN VERSION OF DATING VIOLENCE QUESTIONNAIRE (DVQ)
<p> In the last years, intimate partner violence (IPV) became a relevant problem for community and for social life, particularly in young people. Its correct assessment and evaluation in the population is mandatory. Our objectives were: Confirm factor structure of Dating Violence Questionnaire (DVQ) and investigate its convergent and divergent validity. The DVQ along with other personality measures were filled by a sample of 418 university students (Females = 310) of average age of 23 y.o. (SD = 4.71). A subsample of participants (223 students) consented in being involved also in retest and filled also the Revised Eysenck Personality Questionnaire (short form) and a brief scale for describing the behavior of the (past) partner after the breaking of the relationship (BRS). The 8-factor structure, with respect to the two other competing models, reported better fit indexes and showed significant correlations with other personality measures. Personality traits, both Neuroticism and Psychoticism, correlated with Sexual Violence, while Detachment correlated only with Neuroticism and Coercion, Humiliation and Physical Violence correlated with only Psychoticism. Extraversion did not report significant relationships with any of the 8 DVQ factors. Also the predictive validity of DVQ was satisfactory with the partner violent reaction to the break of relationship predicted positively predicted by Coercion (b = 0.22) and by Humiliation (b = 0.20) and negatively by Emotional Punishment (b = -0.18). The present results indicate a good factor structure of the questionnaire, and interesting correlations with personality traits, allowing to identify psychological aspects with a predisposing role for anti-social aggressive behaviors. Further studies will be aimed at ascertaining other possible determinants of intimate partner violence and the weight of cultural aspects.</p>
New Zealand emission unit (NZU) monthly prices 2010 to date
<p>This data and R code repository provides a reproducible public domain data series of mean monthly spot prices of the New Zealand emission unit (or "NZU"), the domestic emission unit in the New Zealand emissions trading scheme (https://en.wikipedia.org/wiki/New_Zealand_Emissions_Trading_Scheme/). </p>
Planting Date Maps (Low Resolution) and County Data for the US Corn Belt
<p>Aggregated dataset on planting dates for maize and soybean crops in the US Corn Belt from 2000-2020. This dataset was generated from Landsat satellite data and covers 12 states. The methodology is described in <a href="https://doi.org/10.1016/j.rse.2023.113551">Deines et al. 2023 </a>in Remote Sensing of Environment (open access).</p> <p>Note: Version 2 is identical to Version 1, but includes a file missing from v1 (soybeans_progressByCounty_2000-2020_DeinesEtAl_vRSE_formatted.csv)</p> <p><strong>Preferred citation:</strong></p> <p>Deines, J.M., A. Swatantran, D. Ye, B. Myers, S. Archontoulis, & D.B. Lobell. 2023. Field-scale dynamics of planting dates in the US Corn Belt from 2000 to 2020. <em><strong>Remote Sensing of Environment. </strong></em><a href="https://doi.org/10.1016/j.rse.2023.113551">https://doi.org/10.1016/j.rse.2023.113551</a></p> <p><strong>Contents</strong></p> <ol> <li>Gridded map datasets of planting dates aggregated to 10 km resolution. Map datasets are contained in zip files by crop type. Each zip file contains 21 annual geotiff rasters covering the full study region. <ol> <li>Maize_plantingDates_2000-2020_10000m_DeinesEtAl_vRSE.zip</li> <li>Soybeans_plantingDates_2000-2020_10000m_DeinesEtAl_vRSE.zip</li> </ol> </li> <li>Tabular county planting date statistics derived from the high-resolution (30 m) planting date maps. This data is presented in .csv format and includes the day-of-year when 10, 25, 50, 75, and 90 percent of crop area was planted for each year. There is one record for each county-year; data files are separated by crop type. <ol> <li>maize_countyStats_doyPercentPlanted_2000-2020_DeinesEtAl_vRSE.csv</li> <li>soybeans_countyStats_doyPercentPlanted_2000-2020_DeinesEtAl_vRSE.csv</li> </ol> </li> <li>Tabular planting progress by county. These .csv's present the area planted for each crop by county for each day. They can be considered the "raw" version of item #2 (county stats) and can therefore be used to derive other planting progress percentiles other than those provided in item #2. <ol> <li>maize_progressByCounty_2000-2020_DeinesEtAl_vRSE_formatted.csv</li> <li>soybeans_progressByCounty_2000-2020_DeinesEtAl_vRSE_formatted.csv</li> </ol> </li> </ol> <p><strong>Metadata</strong></p> <p>1. Planting date maps</p> <ul> <li>Value: day-of-year of planting</li> <li>No Data value = -999 (grid cells outside of the study area or lacking maize/soybeans that year)</li> <li>Map projection: EPSG:5070, CONUS Albers Equal Area</li> <li>Maps for 2008-2018 use the USDA's Cropland Data Layers to identify maize pixels; maps for 1999-2007 use the Corn-Soy Data Layer produced by <a href="https://www.nature.com/articles/s41597-020-00646-4">Wang et al. 2000</a> (data + manuscript are open access).</li> </ul> <p>2. Tabular datasets</p> <ul> <li>GEOID = 5 digit county FIPS, or the unique identifier assigned to each county by the US TIGER county dataset</li> <li>county_code = 3 digit county identifier. Represents places 3-5 in the 5 digit code.</li> <li>state_code = 2 digit state identifier. Represents places 1-2 in the 5 digit code.</li> <li>DOY = day-of-year</li> <li>area_daily_m2 = area of that crop planted that day in that county, in square meters</li> <li>doy_X = day-of-year when X% of area was planted that year</li> </ul> <p><br> </p>
Digitalization indicators and date on FDI for CEE and Balkan countries
<p>The data representing digitalization indicators and data for the foreign direct investment for the CEE and Balkan countries. </p>
The name of the game: Palaeoproteomics and radiocarbon dates further refine the presence and dispersal of caprines in Eastern and Southern Africa
<p><span>We report the first large-scale palaeoproteomics research on eastern and southern African zooarchaeological samples, thereby refining our understanding of early caprine (sheep and goat) pastoralism in Africa. Assessing caprine introductions is a complicated task because of their skeletal similarity to endemic wild bovid species and the sparse and fragmentary state of relevant archaeological remains. Palaeoproteomics has previously proved effective in clarifying species attributions in African zooarchaeological materials, but few comparative protein sequences of wild bovid species have been available. Using newly generated collagen type I sequences for wild species, as well as previously published sequences, we assess species attributions for elements originally identified as caprine or "unidentifiable bovid" from seventeen eastern and southern African sites that span seven millennia. We identified over 70% of the archaeological remains and the direct radiocarbon dating of domesticate specimens allows refinement of the chronology of caprine presence in both African regions. These results thus confirm earlier occurrences in eastern Africa and the systematic association of domesticated caprines with wild bovids at all archaeological sites. The combined biomolecular approach highlights repeatability and accuracy of the methods for conclusive contribution in species attribution of archaeological remains in dry African environments.</span></p>
Fig. 6. A in On the date of original description and the type locality of Zygaena ampellophaga (Lepidoptera: Zygaenidae: Procridinae)
Fig. 6. A page of the original description (Bayle-Barelle, 1809a) with the type locality of Zygaena ampellophaga Bayle-Barelle, 1809.
Fig. 4. A in On the date of original description and the type locality of Zygaena ampellophaga (Lepidoptera: Zygaenidae: Procridinae)
Fig. 4. A cover of the journal with the original description (Bayle-Barelle, 1809a) of Zygaena ampellophaga Bayle-Barelle, 1809.
Fig. 1 in On the date of original description and the type locality of Zygaena ampellophaga (Lepidoptera: Zygaenidae: Procridinae)
Fig. 1. Theresimima ampellophaga (Bayle-Barelle, 1809). a, male from Crimea, Miskhor, reared from ovo, 1998, K.A. Efetov leg. (photo by K.A. Efetov);b, female from Crimea, Alushta, Luchistoe (44°43′31.44″N, 034°25′31.62″E, 358 m a.s.l.), reared from larva, 23.V.2022, O.G. Gorbunov leg. (photo by O.G. Gorbunov).
Fig. 5 in On the date of original description and the type locality of Zygaena ampellophaga (Lepidoptera: Zygaenidae: Procridinae)
Fig. 5. The first page of the original description (Bayle-Barelle, 1809a) of Zygaena ampellophaga Bayle-Barelle, 1809.
Figure 3 in Seasonal incidence of Raoiella indica Hirst (Acari: Tenuipalpidae) on different varieties of date palm in Kachchh region of Western India
Figure 3. Pattern of distribution of red palm mite, Raoiella indica in different directions on three different varieties (pooled).
Rapport du calcul des dates avec ChronoModel et test du modèle de calibration directionnelle pour les fours de tuiliers du site archéologique de Barbery (Calvados)
<p>Ce rapport a été rédigé les 20 et 22 juin 2022. Il présente les résultats des calculs des dates de la dernière cuisson des différents fours de tuiliers du site de Barbery (Calvados) obtenues après un traitement avec ChronoModel, en utilisant un modèle de calibration directionnelle.</p> <p>Ces nouveaux intervalles de datation sont ceux présentés dans l’article qui paraitra en 2024 dans la revue Archéologie médiévale : <span>A. Bocquet-Liénard, A. Dubois, M. Leclerc, P. Rohée, L. Tickner et J.-B. Vincent</span> « Les fours de tuiliers médiévaux et modernes de Barbery (Calvados) ».</p> <p>Les données archéomagnétiques des cinq fours (A3, A4, A5, A6 et A10) ont été récoltées au cours des trois campagnes de prélèvements menées au cours des opérations de fouilles. Ces campagnes ont été engagées dans le cadre du projet pluridisciplinaire mis en place depuis 2016 pour l’étude des tuileries médiévales et modernes de Barbery, qui ont produit les matériaux destinés à la couverture d'un grand nombre d'édifices de la plaine de Caen et du pays de Falaise. Ce projet vise à étudier la totalité de la chaîne opératoire depuis l’extraction de la matière première jusqu’à la diffusion des produits finis , ainsi que les structures de cuisson et leur chronologie.</p> <p> </p> <p>Le détail des mesures de déclinaison et d’inclinaison est présenté dans les trois rapports suivants :</p> <p>Fours A3 et A10 : <span>A. Bocquet-Liénard, A. Dubois, J.-B. Vincent, P. Dufresne, G. Hulin, </span><span><em>et al.</em></span><span>. </span><span><em>Les tuileries médiévales et modernes de Barbery (Calvados). Opération 2019</em></span><span>. [Rapport de recherche] Université de Caen Normandie, SRA Normandie. 2020, 230 p.</span><span><span> </span></span></p> <p>Fours A4 et A5 : <span>A. Bocquet-Liénard, A. Dubois, J.-B. Vincent</span><span><em>. Les tuileries médiévales et modernes de Barbery (Calvados). Opération 2017</em></span><span>. [Rapport de recherche] Université de Caen Normandie, SRA Normandie. 2018, 334 p.</span></p> <p>Four A3 et A6 : <span>A. Bocquet-Liénard, A. Dubois, V. Le Quellec, J.-B. Vincent, J. Lautridou, </span><span><em>et al..</em></span><span> </span><span><em>Artisanat et industrie du feu à Barbery, bas-fourneaux de l’âge du Fer et tuileries médiévales et modernes. Opération 2021.</em></span><span> [Rapport de recherche], Université de Caen Normandie, SRA Normandie. 2022, 257 p.</span></p>
Dispilio. Supplementary Information for Maczkowski et al., Absolute dating of the European Neolithic using the 5259 BC rapid 14C excursion
<p>Supplementary Material for the paper "Absolute dating of the European Neolithic using the 5259 BC rapid 14C excursion":</p> <p> </p> <p><strong>Supplementary Information</strong> includes OxCal code, wiggle-matching output, photographs of the Neolithic juniper wood samples analysed, photographs of the tree-ring sampling for annual radiocarbon, photographs of modern tree-ring analogues, supplementary text on the data presented in the article, as well as the tree-ring width measurements in Heidelberg format (.fh).</p> <p><strong>Supplementary Data 1-2 </strong>includes spreadsheets with all the new raw radiocarbon data presented in the article, the associated uncertainties and ring numbers.</p> <p><strong>Supplementary Data 3</strong> includes the R code and the source data used for the generation of Figures 3 and 5 in the main article text, as well as the OxCal code used for the wiggle-matching of annual 14C in OxCal as presented in Fiugre 5</p> <p>The latest version of the Supplementary Material is just an expanded version of the first, files have been renamed according to editorial guidlines, few extra figures, OxCal code, and extra information added after the review process. No changes were made to any of the data published online in the initial version of the Supplementary Material.</p> <p> </p> <p>File renaming from last version:</p> <p>Supplementary Material = Supplementary Information</p> <p>Supplementary Material S1 = Supplementary Note 1</p> <p>Supplementary Material S2 = Supplementary Figures</p> <p>Supplementary Material S3 = Supplementary Note 2</p> <p>Supplementary Table T1 = Supplementary Data 1-2</p> <p>Supplementary Material S4 = Supplementary Data 3</p> <p> </p>
Dead Sea Scrolls data collection (images, labels, prediction plots) for dating ancient manuscripts using radiocarbon and AI-based writing style analysis
<p>The dataset is associated with the following article:<br>Title: <strong>Dating ancient manuscripts using radiocarbon and AI-based writing style analysis</strong><br>Authors: Mladen Popović, Maruf A. Dhali, Lambert Schomaker, Johannes van der Plicht, Kaare Lund Rasmussen, Jacopo La Nasa, Ilaria Degano, Maria Perla Colombini, and Eibert Tigchelaar<br><em>(Under review)</em></p> <p>This data set is collected for the ERC project:<br>The Hands that Wrote the Bible: Digital Palaeography and Scribal Culture of the Dead Sea Scrolls<br>PI: Mladen Popović<br>Grant agreement ID: 640497<br>Project website: <a href="https://cordis.europa.eu/project/id/640497">https://cordis.europa.eu/project/id/640497</a></p> <p> </p> <p><strong>Copyright (c) </strong> University of Groningen, 2024. All rights reserved.<br><strong>Disclaimer and copyright notice for all data contained on the *.tar.gz files:</strong></p> <p><strong>1)</strong> permission is hereby granted to use the data for research purposes. It is not allowed to distribute this data for commercial purposes.</p> <p><strong>2) </strong>provider gives no express or implied warranty of any kind, and any implied warranties of merchantability and fitness for purpose are disclaimed.</p> <p><strong>3) </strong>provider shall not be liable for any direct, indirect, special, incidental, or consequential damages arising out of any use of this data.</p> <p><strong>4) </strong>the user should refer to the first public article mentioned above on this data set.</p> <p><strong>5) </strong>the recipient should refrain from proliferating the data set to third parties external to his/her local research group. Please refer interested researchers to this site to obtain their own copy.</p> <p> </p> <p><strong>Organization of the data:<br></strong><em>(Update on 19 April 2024: OxCal data for accepted 2-sigma ranges are updated with the incusion and exclusion of minor peaks. New prediction plots are added after the model is trained with accepted 2-sigma ranges, including minor peaks. The old plots are also kept. <br><br><OLD Updates below; disregard><br>updated on 07-Feb-2024: OxCal data for selected ranges added in a new directory in addition to previously available original OxCal data. Enoch's prediction plots and test images are reorganized for easy access to the users.<br><OLD Updates above; disregard><br><br>Please use the files from this version and disregard the previous two versions: 10.5281/zenodo.10629480 and 10.5281/zenodo.8168210)</em></p> <p>There are four *.tar.gz files:</p> <p><em><strong>C14-Oxcal-data-updated.tar.gz</strong></em> contains one directory with radiocarbon data (OxCal [1] raw data) for all 30 manuscripts. Three additional directories contain name-corrected files for original OxCal data, files with accepted ranges, and files with accepted ranges including minor peaks. Please refer to the original article for details about OxCal data and the manuscripts. 25 out of 30 raw OxCal data are used (accepted ranges only) as the training labels during the training of Enoch, the date prediction model.</p> <p><em><strong>train-images-c14.tar.gz</strong></em> contains the clean and preprocessed (binarized, aligned, and arrangement corrected) training images for the 25 radiocarbon-dated training manuscripts (including 4Q52; 64 images in total). </p> <p><em><strong>test-images-all.tar.gz</strong></em> contains the clean and preprocessed test images for 135 previously undated manuscripts. The images are organized in three different directories: the first one with all 359 images for the 135 manuscripts, the second one with the selected 135 images, and the final one with 25 images to illustrate the poor quality of images. </p> <p><em><strong>Enoch-prediction-new-with-minor-peaks.tar.gz</strong></em> contains the new date prediction plots for each of the 135 test images, where Enoch was trained with the inclusion of minor peaks for the 2-sigma accepted ranges and with a data balancing threshold of 0.05. These plots are used by expert palaeographers' evaluation of Enoch's style-based date predictions of 135 previously undated manuscripts.</p> <p><em><strong>Enoch-predictions.tar.gz</strong></em> contains the date prediction plots for each of the 135 test images. There are two directories inside the *.tar.gz file:<br><br>- <em>prediction-plots-for-selected-135:</em> Prediction plots with data balancing threshold of 0.05. <br>- <em>extra-plots:</em> contains four additional directories:<br> - <em>Enoch-predictions-c14wo4Q52-balanced05:</em> Prediction plots with data balancing threshold of 0.05. <br> - <em>Enoch-predictions-c14wo4Q52-balanced10:</em> Prediction plots with data balancing threshold of 0.1.<br> - <em>Enoch-predictions-c14wo4Q52-unbalanced:</em> Unbalanced raw predictions.<br> - <em>Enoch-predictions-c14wo4Q52-combined:</em> Combined plots with all three prediction plots (unbalanced, 0.05, 0.1).<br>Please refer to the original article for more details.</p> <p>The updated code to run the plot is available here: <a href="https://doi.org/10.5281/zenodo.10998860">https://doi.org/10.5281/zenodo.10998860</a></p> <p><strong>If you have any questions, please get in touch with us:</strong><br>Mladen Popović <m.popovic(at)rug.nl><br>Maruf A. Dhali <m.a.dhali(at)rug.nl><br>Lambert Schomaker <l.r.b.schomaker(at)rug.nl></p> <p> </p> <p><strong>References:</strong><br>1. Bronk Ramsey, C. (2001). Development of the radiocarbon calibration program. <em>Radiocarbon</em>, <em>43</em>(2A), 355-363.</p>
Рис. 2. График вЗаимосвяЗи меЖду суммой средних месячных температур воды марта и апреля и датами начала нереста. Fig. 2. Graph of relationship between the sum of the average monthly water temperatures of March and April and the start dates of spawning. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement
Рис. 2. График вЗаимосвяЗи меЖду суммой средних месячных температур воды марта и апреля и датами начала нереста. Fig. 2. Graph of relationship between the sum of the average monthly water temperatures of March and April and the start dates of spawning.
Data from: Molecular Dating of Phylogeny of Sturgeons (Acipenseridae) Based on Total Evidence Analysis
<p>Bayesian chronograms (original and updated 08.10.2022) of cladogenesis of fossil and recent Acipenseriformes reconstructed on the basis of combined (mtDNA, morphological characters) data.</p>
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.