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Field-lab data and analyses results West Kalimantan, Indonesia
<p>Field data included in this compressed folder were collected over an area of approximately 23,500 hectares in West Kalimantan, Indonesia. The folder includes Excel and txt files with the following contents: field measurements of the peat thickness at 63 coring sites, laboratory analyses results of the samples collected in the field, field and lab measurements of electrical conductivity. Moreover, there is a file containing all the measurements of peat thickness and soil elevation extracted from the figures contained in previous studies. Finally, the folder also includes the results obtained from the inversion of the Airborne Electromagntic (AEM) data collected with the SkyTEM instrument over the study site, and specifically the resistivity of the soil layers obtained from the inversion and the peat thickness corresponding to the 45 Ohmm threshold. The folder also includes the Python codes used for the statistical analyses explained in the paper.</p>
Neolithic/Copper Age radiocarbon dates from West Carpathian basin and East Alps
<p>Radiocarbon dates used in this study were collected from original publications including grey literature. The resulting database was cross-referenced with available radiocarbon databases to ensure the quality of data. We used the latest revision (2019) of CalPal database by Bernhardt Weninger (<em>B. Weninger et al.</em> 2019), EuroEvol database (<em>Manning et al.</em>2016), C14.sk database (<em>Barta et al.</em> 2013) and RADON database (<em>Martin Hinz et al.</em> 2012). </p> <p> </p> <p>Database structure consist of ten columns, from site name (Site), unique site code (Scode), site longitude and latitude (Lon and Lat) in degrees, country (Country), laboratory code (Labcode), the conventional radiocarbon date (Date) in years before present, standard deviation (SD), dated material (Mat) and bibliographic reference (Cit). Where possible, we referenced the radiocarbon database where the date is recorded, otherwise, the publication where the date is reported or referenced is cited. </p> <p> </p> <p>Many thanks to Bernhardt Weninger for kindly providing the latest version of CalPal database.</p> <p> </p> <p><strong>References </strong></p> <p> </p> <p>B. Weninger, Jöris O., Danzeglocke U. 2019. CalPal-2007. Cologne Radiocarbon & Palaeoclimatic Research Package. <em>http:\\www.calpal.de</em></p> <p>Manning K., Colledge S., Crema E., Shennan S., Timpson A. 2016. The Cultural Evolution of Neolithic Europe. EUROEVOL Dataset 1: Sites, Phases and Radiocarbon Data. <em>Journal of Open Archaeological Data </em>5:e2. DOI: http://doi.org/10.5334/joad.40</p> <p>Martin Hinz M.F., Johannes Müller, Dirk Raetzel-Fabian, Rinne C., Sjögren K.-G., Wotzka H.-P. 2012. RADON - Radiocarbon dates online 2012. Central European database of 14C dates for the Neolithic and Early Bronze Age. <em>http:\\www.jungsteinsite.de</em></p> <p>Barta P., Demján P., Hladíková K., Kmeťová P., Piatničková K. 2013. Database of radiocarbon dates measured on archaeological samples from Slovakia, Czechia, and adjacent regions. <em>http://www.c14.sk</em></p>
Re-deposit: Place Names in West Central District of Tainan [Zenodo]
<p>Reused from <a href="https://data.depositar.io/en/dataset/place-names-in-west-central-district-of-tainan">https://data.depositar.io/dataset/place-names-in-west-central-district-of-tainan</a></p> <p>More datasets at <a href="https://data.depositar.io/en/dataset/re-deposit-place-names-dataset">depositar </a></p> <ul> <li>Place Names on Ancient Maps of West Central District of Tainan, Taiwan</li> <li>來源研究計畫:<a href="http://gis.rchss.sinica.edu.tw/taijiang/%E5%AD%90%E8%A8%88%E7%95%AB%E5%9B%9B">空間資訊科學與跨領域研究─台江內海地區的人文社會經濟發展與環境變遷-用以處理台江內海地區時空資訊之協同研究平台的探索與建立</a></li> <li>English Translation for Place Name and Type via Google Translation</li> </ul>
WEST Diversity Panel GBS information (Ferguson et al., 2020)
<p>Genotyping by sequencing information (5,512,653 SNPs on 850 individuals [842 unique]) used in the manuscript "Machine learning enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions" (Ferguson et al., 2020) DOI:10.1101/2020.11.02.365213</p> <p>The information, data, or work presented herein was funded in part by the Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy, under Award Number DE-DE-AR0000661. The views and opinions of the authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.</p>
Bhagdei (जामगढ़-भगदेई, Raisen district), Madhya Pradesh. Tank to the west of Śiva temple
<p>Bhagdei (भगदेई, Raisen district), Madhya Pradesh. Tank to the west of Śiva temple, located approximately at 23°6'30"N 78°15'16"E. Photograph: October, 2008.</p>
Susunia (Bankura district), West Bengal. Main cave inscription.
<p><a href="https://en.wikipedia.org/wiki/Susunia">Susunia </a>(Bankura district), West Bengal. Main cave inscription.</p> <p>The text published in D. C. Sircar, <em><a href="https://doi.org/10.5281/zenodo.3371397">Select Inscriptions Bearing on Indian History and Civilization - Volume 1</a>: From the Sixth Century B.C. to the Sixth Century A.D.</em>, 2nd ed. (Calcutta, 1965), 351-52.</p>
Jagjivanpur, West Bengal. Detail of the copper-plate charter of Mahendrapāla
<p>Jagjivanpur, West Bengal. Detail of the copper-plate charter of Mahendrapāla, now in the collection of the Malda Museum, Malda, West Bengal, as documented in 2007.</p>
Jagjivanpur, West Bengal. Detail of the copper-plate charter of Mahendrapāla
<p>Jagjivanpur, West Bengal. Detail of the copper-plate charter of Mahendrapāla, now in the collection of the Malda Museum, Malda, West Bengal, as documented in 2007.</p>
Dataset for the paper "Ephemeral grounding on the Pine Island Ice Shelf, West Antarctica, from 2014 to 2023"
<p>This code and related datasets are used for generating the figures for the paper "Ephemeral grounding on the Pine Island Ice Shelf, West Antarctica, from 2014 to 2023". Includes corrected REMA DSM stripes at the central ice shelf region of Pine Island Ice Shelf, the double differential vertical displacement results from 2014 to 2023 which cazlculated from the offset tracking results output from GAMMA software. Other dataset for other analysis are also included in the ZIP file. Each MATLAB codes in MATLAB_function.zip includes the discriptions that guide the user how to used it and how to find the dataset that used for processing. Some sample files are provided in data_and_results.zip that can let user test the code easily. These data can be accessed after the paper is accepted.</p> <p> </p>
Islam West Africa Collection (IWAC)
<p>Directed by <a href="https://www.frederickmadore.com/" target="_blank" rel="noopener">Frédérick Madore</a>, the <a href="https://islam.zmo.de/s/westafrica/" target="_blank" rel="noopener"><em>Islam West Africa Collection</em> (IWAC)</a> is a collaborative, open-access digital database that currently contains over 5,000 archival documents, newspaper articles, Islamic publications of various kinds, audio and video recordings, and photographs on Islam and Muslims in Burkina Faso, Benin, Niger, Nigeria, Togo and Côte d'Ivoire. Most of the documents are in French, but some are also available in Hausa, Arabic, Dendi, and English. The site also indexes over 800 references to relevant books, book chapters, book reviews, journal articles, dissertations, theses, reports and blog posts. This project, hosted by the <a href="https://www.zmo.de/en" target="_blank" rel="noopener">Leibniz-Zentrum Moderner Orient (ZMO)</a> and funded by the Berlin Senate Department for Science, Health and Care, is a continuation of the award-winning <a href="https://web.archive.org/web/20231207083222/https://islam.domains.uflib.ufl.edu/s/bf/page/home" target="_blank" rel="noopener"><em>Islam Burkina Faso Collection</em></a> created in 2021 in collaboration with <a href="https://librarypress.domains.uflib.ufl.edu/" target="_blank" rel="noopener">LibraryPress@UF</a>.</p> <p>This dataset contains all the metadata of the items in the Collection, the Jupyter notebooks that were used to create the visualisations that showcase the possibilities of <a href="https://islam.zmo.de/s/westafrica/page/digital-humanities" target="_blank" rel="noopener">digital humanities</a> with the IWAC, and a copy of the spreadsheets that were used to create the <a href="https://islam.zmo.de/s/westafrica/page/exhibits" target="_blank" rel="noopener">digital exhibits</a> using <a href="https://timeline.knightlab.com/" target="_blank" rel="noopener">Timeline JS</a>.</p>
A data repository for: Changing phytoplankton phenology in the marginal ice zone west of the Antarctic Peninsula
<p>This data repository is a permanent archive of the results presented in the associated publication (Turner et al. 2024, Marine Ecology Progress Series, <a href="https://doi.org/10.3354/meps14567">https://doi.org/10.3354/meps14567</a>). The objective of this study was to investigate phytoplankton phenology patterns west of the Antarctic Peninsula using satellite ocean color remote sensing data. This dataset extends from 80<sup>o</sup>W to 55<sup>o</sup>W longitude and from 70<sup>o</sup>S to 60<sup>o</sup>S latitude. The data span the time period September 1997 through August 2022. This dataset includes the data and code used to create the figures in the publication. The data in this repository include chlorophyll-a concentration (Chl-a), dates of phytoplankton bloom start date and phytoplankton bloom peak date, photosynthetically active radiation (PAR), sea surface temperature (SST), wind speed, and dates of sea ice retreat and advance. Downloaded spatially-subsetted data files are included as netCDF files (extension .nc) compressed into .zip archives. Additional files used to perform the analyses and make the figures are included as MATLAB scripts and MATLAB data files (extensions .m and .mat, respectively). </p> <p>Recommended citation:</p> <p>Turner, Jessica S., (2024) A data repository for: Changing phytoplankton phenology in the marginal ice zone west of the Antarctic Peninsula. Zenodo. https://doi.org/10.5281/zenodo.10790613</p>
Carbonate Chemistry and δ18O-H2O from East and West Greenland fjords, August 2018 and 2016
<p>Greenland’s fjords and coastal waters are highly productive and sustain important fisheries, but retreating glaciers and increasing meltwater supply are changing fjord circulation and biogeochemistry, which may threaten the future productivity of these unique ecosystems. The freshening of Greenland fjords caused by unprecedented melting of the Greenland Ice Sheet has the potential to alter carbonate chemistry in coastal waters, which would influence CO<sub>2</sub> uptake as well as have biological consequences from acidification. However, few studies to date explore the current acidification state in Greenland coastal waters. Here we present the first-ever large-scale measurements of carbonate system parameters and δ<sup>18</sup>O measurements in 16 Greenlandic fjords and by combining datasets from two August cruises. HDMS Lauge Koch and RV Sanna cruises sampled on the East and West coast of Greenland in August 2018 and 2016 respectively. This dataset consists of 52 carbonate chemistry sample sites where dissolved inorganic carbon (DIC), total alkalinity (TA), and δ<sup>18</sup>O-H<sub>2</sub>O were measured throughout the water column. Water samples were collected in Niskin bottles and were transferred directly into triplicate 12 ml exetainers with a gas tight Tygon tubes, allowing overflow of at least 3 times the volume of the exetainer. Triplicate exetainers were collected for both DIC and TA at each depth. Samples were preserved with HgCl<sub>2</sub> (saturated solution) to a final concentration of 0.02%. TA was measured on an Apollo SciTech AS-ALK2 total alkalinity titrator based on the Gran titration procedure for samples in West Greenland. While samples for East Greenland were measured on automatic titrator (Metrohm 888 Titrando), and a combined Metrohm glass electrode (Unitrode). DIC samples were analyzed on Apollo SciTech's AS-C3 analyzer for both cruises, using a sample volume of 0.5 ml. Routine analysis of Certified Reference Materials (provided by A. G. Dickson, Scripps Institution of Oceanography) verified that the accuracy of DIC and TA measurements. Coalescing this dataset therefore provides the first-ever analysis of wide-scale Greenland Fjord carbonate chemistry.</p> <p> </p> <p>Environmental variables recorded by CTD instruments are available for cruises from the West and East coasts respectively at the following DOIs: <a href="https://doi.org/10.5281/zenodo.4062024">https://doi.org/10.5281/zenodo.4062024</a> and <a href="https://doi.org/10.5281/zenodo.5572329">https://doi.org/10.5281/zenodo.5572329</a>.</p> <p> </p> <p>We would like to thank the crew on board the HDMS Lauge Koch and RV Sanna for their collaboration. The Cruises were funded by Danish Centre for Marine Science (Grants: 2016-05 and 2017-06) and by the EU Horizon2020 funded project INTAROS (grant no. 727890) and the Danish Cooperation for Environment in the Arctic. This dataset is a contribution the project FACE-IT (The Future of Arctic Coastal Ecosystems – Identifying Transitions in Fjord Systems and Adjacent Coastal Areas). FACE-IT has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 869154.</p>
U-Pb on zircon data from 'Evidence for large disturbances of the Ediacaran geomagnetic field from West Africa'
<p>This dataset provides the tabular U-Pb data on zircon presented in Robert et al. 2023 'Evidence for large disturbances of the Ediacaran geomagnetic field from West Africa', Precambrian Research, 394, 107095.</p> <p>The data are provided both as an xls formatted as in the original publication (in Table 1), and in a condensed .csv. Please the README file for a description of the columns of the csv.</p>
Data and Supplementary Information : timber ressource dynamics in West African cocoa agroforestry systems
<p>Here we present three datasets (growthDB.csv, heightDB.csv and volumeDB.csv) describing 59 tree species used for wood production in cocoa Agroforestry System (AFS) in Côte d'Ivoire (West Afica). Our dataset includes a total of 4,634 trees: 2530 spontaneous and 2104 (trans)planted. </p> <p>We provide three table (per datasets in .csv format) with the following column per tree:</p> <p>- gensp: species latin names</p> <p>- dbh : tree diameter at breast height (cm)</p> <p>- age: tree age (years)</p> <p>- origin: tree origin (spontaneous or (trans)planted)</p> <p>- WDmean : tree wood density (g.cm³)</p> <p>- clus: study sites</p> <p>- indsp : species index</p> <p>- indclus : sites index</p> <p>- hlog: tree bole height (m)</p> <p>- vol : tree bole volume (m³)</p> <p>We also provide, the STAN code (models.stan) to assess the wood production potential of trees in cocoa AFS: (i) a model describing the diameter growth trajectories of trees as a function of their age, (ii) a model evaluating the relationship between tree diameter and bole height, and (iii) a model assessing the commercial volume of trees as a function of their diameter and bole height.</p> <p>Finally, we present additional tables and figures in Supplementary Information.pdf.</p>
Data used in the manuscript: "Influence of coastal vegetation on the 2004 tsunami wave impact in west Aceh"
<p>The data set presented accompanies the study by Laso Bayas et al. (2011) “Influence of coastal vegetation on the 2004 tsunami wave impact in west Aceh”. The data set contains all the observed (not transformed) variables used in the above mentioned study. The accompanying text file describes each of the variables included. A total of 180 transects were employed for the Laso Bayas et al (2011) study. The variables were further standardized and simplified to use them into the statistical models described in the paper.</p>
IODP Expedition 382: Supplementary Tables for "Episodes of early Pleistocene West Antarctic Ice Sheet retreat recorded by Iceberg Alley sediments"
<p>IODP Expedition 382: Supplementary Tables for "Episodes of early Pleistocene West Antarctic Ice Sheet retreat recorded by Iceberg Alley sediments"</p> <p>Includes SEM QEMSCAN® and <sup>40</sup>Ar/<sup>39</sup>Ar data for International Ocean Discovery Program (IODP) Expedition 382 Site U1538. Also includes a movie of a 3D-volume realization of an iceberg-rafted sedimentary layer from this site based on non-destructive X-ray microtomography imaging.</p> <p> </p> <p><strong>Data Set Captions:</strong></p> <p> </p> <p><strong>Data Set S1. </strong>Modal mineralogy data based on QEMSCAN® analyses, which infer minerals from chemistry. The mineral name assignations for each chemistry-based category stated in this table are aided by visual (microscope-based) inspection of the raw sieved samples.</p> <p><strong>Data Set S2. </strong>Mineral association data based on QEMSCAN® analyses. Please read data in columns, mineral against mineral (down then across left). These data define what touches what in the sample and is displayed as a percentage. Association refers to adjacency. Two minerals are “associated” if a pixel of one of the minerals occurs adjacent to a pixel of the other mineral. iExplorer software used scans the measured particles horizontally, from left to right, counting the associations that occur in the images (so the more pixels/closer the x-ray spacing the more accurate the data). Each column is independent. That is, it is split into a percentage of what touches what, so it is not expected that any two minerals’ data are reciprocal. The background category primarily reflects the free boundaries of ‘grains’ rather than liberated grains/particles. While it may provide an indicator of liberation, it does not represent liberation since it does not describe ‘particles’ which are made up of mineral grains. Inclusions and composite particles are therefore not described. Please consider the modal mineralogy (Tab. S1) when examining these mineral association data.</p> <p><strong>Data Set S3. </strong>Lithotyping data based on QEMSCAN® analyses. Particles have been digitally filtered using a set of lithotype rules (also displayed in this data set). These rules are based on the mineral grains in the particles themselves and use their area percent within each particle and their size in microns. The lithotype names stated here are largely assigned based on the dominant mineral grain in each category.</p> <p><strong>Data Set S4. </strong>40Ar/39Ar ages of individual sand-sized hornblende and mica. See main text for method used to generate these ages.</p> <p><strong>Data Set S5.</strong> Ties to place Hole U1538A NGR data on Dove Basin Stack (Reilly et al., 2021) depths.</p> <p><strong>Movie S1. </strong>3D-volume realization based on non-destructive X-ray microtomography imaging of a centimeter-scale iceberg-rafted debris-rich layer in Hole U1538A-36X-3W. 3D images were generated using a helical scanning trajectory that allows for long scan sequences and fast acquisition time. Based on the sample geometry, a voxel (pixel) resolution of ~14-μm was achieved. The 7000+ projection images were reconstructed to produce a 3D volume of image intensities (where higher values indicate greater x-ray attenuation). Avizo software was used for 3D segmentation and volume rendering to visualize gravel and sand to create this animation. The different colors assigned to each clast were chosen arbitrary.</p>
What Controls the Mean East–West Sea Surface Temperature Gradient in the Equatorial Pacific: The Role of Cloud Albedo
<p>Climatologies for the climate model simulations performed by Burls and Fedorov 2014, Journal of Climate, <a href="https://doi.org/10.1175/JCLI-D-13-00255.1">https://doi.org/10.1175/JCLI-D-13-00255.1</a>. This table shows how the names of the simulation files provided in this dataset relate to the experiment names provided in Table 1 of Burls and Fedorov (2014, JOC).</p> <table> <thead> <tr> <th scope="col">Experiment # in Article (Table 1)</th> <th scope="col">Name of Files</th> </tr> </thead> <tbody> <tr> <td>1</td> <td>PreInd_T31_gx3v7*.nc</td> </tr> <tr> <td>2</td> <td>80p_op_LWP_1590deg_T31_gx3v7*.nc</td> </tr> <tr> <td>3</td> <td>60p_op_LWP_1590deg_T31_gx3v7*.nc</td> </tr> <tr> <td>4</td> <td>40p_op_LWP_1590deg_T31_gx3v7*.nc</td> </tr> <tr> <td>5</td> <td>20p_op_LWP_1590deg_T31_gx3v7*.nc</td> </tr> <tr> <td>6</td> <td>20p_LWP_1590deg_T31_gx3v7*.nc</td> </tr> <tr> <td>7</td> <td>40p_LWP_1590deg_T31_gx3v7*.nc</td> </tr> <tr> <td>8</td> <td>60p_LWP_1590deg_T31_gx3v7*.nc</td> </tr> <tr> <td>9</td> <td>80p_LWP_1590deg_T31_gx3v7*.nc</td> </tr> <tr> <td>10</td> <td>20p_ILWP_1590deg_tropx2_T31_gx3v7*.nc</td> </tr> <tr> <td>11</td> <td>40p_ILWP_1590deg_tropx2_T31_gx3v7*.nc</td> </tr> <tr> <td>12</td> <td>60p_ILWP_1590deg_tropx2_T31_gx3v7*.nc</td> </tr> <tr> <td>13</td> <td>80p_ILWP_1590deg_tropx2_T31_gx3v7*.nc</td> </tr> <tr> <td>14</td> <td>20p_ILWP_1590deg_tropx4_T31_gx3v7*.nc</td> </tr> <tr> <td>15</td> <td>40p_ILWP_1590deg_tropx4_T31_gx3v7*.nc</td> </tr> <tr> <td>16</td> <td>60p_ILWP_1590deg_tropx4_T31_gx3v7*.nc</td> </tr> <tr> <td>17</td> <td>80p_ILWP_1590deg_tropx4_T31_gx3v7*.nc</td> </tr> <tr> <td>18</td> <td>20p_ILWP_3060deg_tropx8_T31_gx3v7*.nc</td> </tr> <tr> <td>19</td> <td>40p_ILWP_3060deg_tropx8_T31_gx3v7*.nc</td> </tr> <tr> <td>20</td> <td>60p_ILWP_3060deg_tropx8_T31_gx3v7*.nc</td> </tr> <tr> <td>21</td> <td>80p_ILWP_3060deg_tropx8_T31_gx3v7*.nc</td> </tr> <tr> <td>22</td> <td>PreInd_0.9x1.25_gx1v6*.nc</td> </tr> <tr> <td>23</td> <td>40p_LWP_1590deg_0.9x1.25_gx1v6*.nc</td> </tr> <tr> <td>24</td> <td>60p_LWP_1590deg_0.9x1.25_gx1v6*.nc</td> </tr> <tr> <td>25</td> <td>40p_ILWP_1590deg_tropx2_0.9x1.25_gx1v6*.nc</td> </tr> <tr> <td>26</td> <td>60p_ILWP_1590deg_tropx2_0.9x1.25_gx1v6*.nc</td> </tr> </tbody> </table> <p>Article abstract:</p> <p>The mean east–west sea surface temperature gradient along the equator is a key feature of tropical climate. Tightly coupled to the atmospheric Walker circulation and the oceanic east–west thermocline tilt, it effectively defines tropical climate conditions. In the Pacific, its presence permits the El Niño–Southern Oscillation phenomenon. What determines this temperature gradient within the fully coupled ocean–atmosphere system is therefore a central question in climate dynamics, critical for understanding past and future climates. Using a comprehensive coupled model [Community Earth System Model (CESM)], the authors demonstrate how the meridional gradient in cloud albedo between the tropics and midlatitudes (Δα) sets the mean east–west sea surface temperature gradient in the equatorial Pacific. To change Δα in the numerical experiments, the authors change the optical properties of clouds by modifying the atmospheric water path, but only in the shortwave radiation scheme of the model. When Δα is varied from approximately −0.15 to 0.1, the east–west SST contrast in the equatorial Pacific reduces from 7.5°C to less than 1°C and the Walker circulation nearly collapses. These experiments reveal a near-linear dependence between Δα and the zonal temperature gradient, which generally agrees with results from the Coupled Model Intercomparison Project phase 5 (CMIP5) preindustrial control simulations. The authors explain the close relation between the two variables using an energy balance model incorporating the essential dynamics of the warm pool, cold tongue, and Walker circulation complex.</p>
Data from: Male long-distance migrant turned sedentary; The West European pond bat (Myotis dasycneme) alters their migration and hibernation behaviour
<p>Winter survey data, temperature data and mark recapture data of <em>Myotis dasycneme</em>. This study aimed to better understand the migration, mating and hibernation choices of the pond bat.</p> <p> </p> <p>The study area covered the whole of the Netherlands, Belgium and East Frisia (northwest Germany). We defined two study periods, data collected between 1930 and 1980 (Sluiter and van Heerdt) and data between 1980 and 2015 (Haarsma). All available mark and recovery data (ringing) of both the historical and recent migration research were digitized. Observations include location and date of capture, species, sex and ring number. The latest observations in the recent dataset (Haarsma) also include biometric measurements (forearm length, body mass) and information about age and reproductive status. These biometric measurements show that male pond bats are on average smaller and lighter than females (body mass (g)/ forearm length (mm) females: 18.9/47.1, males: 16.4/46.4). The dataset shows changes in the fat mass of both sexes during a year.</p> <p>This study also compares migration data with winter monitoring survey data. We selected winter roosts with three or more records of three or more pond bats in one or both of the study periods. Only data from sites with long-term data series (from the hibernacula in the Dutch provinces of Zuid-Holland, Gelderland and Limburg) were used to analyse trends and annual abundance. Our selection included 59 limestone mines in the province of Limburg and 16 WOII bunkers in Gelderland and 38 in Zuid-Holland. We divided the sites into 'core' and 'satellite' sites depending on the timing of first colonization.</p> <p> </p> <p><strong>Bunker limestone mine microclimate</strong></p> <p> </p> <p>Radiation temperature: radiation temperature of the wall, measured with a non-contact infrared thermometer</p> <p>How many bats: the group size of each bat/ group of bats observed, categorized as alone and group.</p> <p>Where: the hanging location of the observed bat, categorized as hidden (in crevice) or free (free on ceiling or wall)</p> <p>Date: date of the observation</p> <p>Xy-coord: The coordinates of the entrance of the bunker or limestone mine. The RD (Rijks-Driehoek) system is the coordinate system used by the Dutch geographical service.</p> <p>Type: Bunker or limestone</p> <p>Location description: description of the name of the site</p> <p> </p> <p><strong>Bunker monitoring core and satellite</strong></p> <p> </p> <p>Date: date</p> <p>Winter: the period between September and April is defined as the winter of the year starting in January.</p> <p>Location description: description of the name of the site</p> <p>N of pond bats: total number of observed pond bats</p> <p>Province: the province</p> <p>Type: hibernacula categorized as a core or satellite site, sites occupied by pond bats since 1977 and 1997 respectively.</p> <p>XY-coord: The coordinates of the entrance of the bunker or limestone mine. The RD (Rijks-Driehoek) system is the coordinate system used by the Dutch geographical service.</p> <p> </p> <p> </p> <p><strong>Supporting information (as referenced in the published paper, hence also available with plos one)</strong></p> <p><br> <strong>S1 Fig. The range of the West European pond bat population (TIF).</strong> The shaded areas indicate the<br> areas where the bulk of the surveys were carried out.</p> <p><br> <strong>S2 Fig. The distribution of the pond bat in Europe (country boundaries are only indicative) (JPG).</strong> Within the whole range of the species distribution seven groups can be separated.<br> A The Netherlands, Belgium and Northwest Germany (~the West European population),<br> B Jutland Peninsula,<br> C Central European lakelands,<br> D The Baltic States,<br> E Ural Mountains (hibernacula),<br> F Volga Valley (summer nurseries),<br> G Hungary and Romania.<br> <br> <strong>S3 Fig. The distribution of hibernacula used by the western pond bat population (TIF). </strong>These are<br> sites with three or more records of pond bats in one or both study periods. We identified four<br> roost categories: Roosts which have been used ever since 1900 (= green squares), roosts used<br> only between 1900–1980 (= open black squares), roosts occupied after 1980 (= purple circles),<br> roosts occupied after 1997 (= blue asterisks). Detailed maps, all with the same enlargement, of<br> the clusters in the provinces of Zuid-Holland (1), Gelderland (1) and Limburg (3) are provided.<br> <br> </p> <p><strong>S1 Table. Summary of the average weight of pond bats over the study period.</strong> The weight is averaged per week. The table gives average weight of females, males both adults and juveniles.</p> <p> </p> <p>Avg weight: average weight of pond bats of each sex, in a certain week</p> <p>Sex: male of female</p> <p>Week number: number of the week</p> <p>Age: juvenile (or young of the year). Defined as the from birth until the onset of first hibernation. Subadult or sexual immature, defined as individuals with no signs of (past) reproductive activity. Adult or sexual mature, defined as all individuals with signs of (previous) reproductive activity.</p> <p>N observations: number of observations within each subset.<br> </p> <p><strong>S2 Table. Mark and recapture data from the historical dataset.</strong><br> </p> <p>Ringnumber: the label of the ring</p> <p> Sex: male or female</p> <p>capture date: date of capture</p> <p>capture location: description of capture location</p> <p>x y coordinate: The coordinates of the capture location in RD. The RD (Rijks-Driehoek) system is the coordinate system used by the Dutch geographical service.</p> <p>recapture date: date of recapture</p> <p>recapture location: description of recapture location</p> <p>x y coordinate: The coordinates of the recapture location in RD. The RD (Rijks-Driehoek) system is the coordinate system used by the Dutch geographical service.</p> <p> </p> <p><strong>S3 Table. Mark and recapture data from the recent dataset.</strong></p> <p> </p> <p>Same dataset as the historical set, but now including age (see definition used in S1)<br> <br> </p>
IN02003 Changu Narayana Pillar West Shaft Inscription
<p>Gnoli, Raniero. <em>Nepalese Inscriptions in Gupta Characters</em>. Roma: Is. M. E. O. 1956. Plate 3, Inscription 1, pp. 1-3.</p>
West Nile Virus Predictions output data
<p><span>The testSubmission.csv was meant for validating the results in the Kaggle competition. It is a csv with 2 columns, one being a probability value from 0 to 1 and the second being an id to which that probability refers to. Those probabilities are the result of the classifications of a trained XGBoost classifier. </span></p>
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Allen Brain Atlas
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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.