cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25380/iastate.12290585.v1
title: Immunosenescence and its influence on reproduction in a long-lived vertebrate, the painted turtle

description: These data include information on male, female, and juvenile painted turtles (Chrysemys picta) captured from Thomsom Causeway Recreation Area in Thomson, Illinois, USA in 2011. These turtles are part of a long-term mark-recapture study, and as such have information on age at first capture. These known ages, combined with ages estimated from growth models created from turtles in this population, were used to assess patterns of immunosenescence in three innate immune measures: agglutination ability, lysis ability, and bactericidal competence of plasma. We additionally tested the influence of sex, day captured, and clutch size on these immune measures. Clutch size information was collected for female painted turtles for which we had excavated nests and counted the number of eggs laid.<br><br>These files include the dataset and a codebook to interpret columns in the dataset, a sas file with code for the statistical analyses performed, and a README file. <br><br>Data reported here are data associated with the following publication:Judson, J.M., Reding, D.M., and Bronikowski, A.M. <i>Accepted</i>. Immunosenescence and its influence on reproduction in a long-lived vertebrate. <b>Journal of Experimental Biology. </b>https://www.doi.org/10.1242/jeb.223057<br> <br>
DOI: 10.6084/m9.figshare.12290369
title: Data and code from "Eutrophication, biodiversity loss, and species invasions modify the relationship between host and parasite richness during host community assembly"

description: Data and code supporting the manuscript, "Eutrophication, biodiversity loss, and species invasions modify the relationship between host and parasite richness during host community assembly"
DOI: 10.6084/m9.figshare.12290324
title: OSC data

description: OSC data file<br>
DOI: 10.6084/m9.figshare.12290369.v1
title: Eutrophication, biodiversity loss, and species invasions modify the relationship between host and parasite richness during host community assembly

description: Data and code supporting the manuscript, "Eutrophication, biodiversity loss, and species invasions modify the relationship between host and parasite richness during host community assembly"
DOI: 10.6084/m9.figshare.12288578
title: Desert bighorn sheep landscape resistance surface

description: Landscape resistance surface for desert bighorn sheep in the southwestern U.S., as used in: <i>Creech et al. (2020). Genetic and environmental indicators of climate change vulnerability for desert bighorn sheep. Frontiers in Ecology and the Evolution.</i> File is in GeoTIFF raster format.
DOI: 10.6084/m9.figshare.12288572
title: paramecium_bursaria_agopiwi_nt

description: Nucleotide sequence data from Paramecium bursaria 186b.<br>Data corresponds to putative Ago-Piwi components. <br>
DOI: 10.6084/m9.figshare.12290324.v1
title: osc all data with fits.xlsx

description: OSC data file<br>
DOI: 10.6084/m9.figshare.12290324.v2
title: osc all data with fits.xlsx

description: OSC data file<br>
DOI: 10.6084/m9.figshare.12288536
title: Desert bighorn sheep habitat patch polygons

description: Habitat patch polygons for 62 desert bighorn sheep populations included in: <i>Creech et al. (2020). Genetic and environmental indicators of climate change vulnerability for desert bighorn sheep. Frontiers in Ecology and Evolution.</i> Spatial data are in ESRI shapefile format.
DOI: 10.6084/m9.figshare.12288572.v2
title: paramecium_bursaria_agopiwi_nt

description: Nucleotide sequence data from Paramecium bursaria 186b.<br>Data corresponds to putative Ago-Piwi components. <br>
DOI: 10.6084/m9.figshare.12290324.v3
title: OSC data

description: OSC data file<br>
DOI: 10.6084/m9.figshare.12290324.v4
title: OSC data

description: OSC data file<br>
DOI: 10.6084/m9.figshare.12288425
title: paramecium_bursaria_agopiwi_aa

description: Amino acid sequence data from Paramecium bursaria 186b.<br>Data corresponds to putative Ago-Piwi components.<br>
DOI: 10.6084/m9.figshare.12288428
title: Desert bighorn sheep genotypes and sampling coordinates

description: Multilocus microsatellite genotypes and sampling coordinates for desert bighorn sheep individuals analyzed in: <i>Creech et al. (2020). Genetic and environmental indicators of climate change vulnerability for desert bighorn sheep. Frontiers in Ecology and Evolution.</i> Coordinates are in North America Albers Equal Area Conic projection [ESRI:102008].
DOI: 10.6084/m9.figshare.12288374
title: 8.tar.gz

description: 8/23 CAPTCHA data.
DOI: 10.6084/m9.figshare.12288341
title: Tabla 3. Características de los tipos de usuarios

description: Esta tabla describe los Los coeficientes son regresiones de mínimos cuadrados ordinarios efectuados a la tipología de navegación de usuarios de plataformas digitales.<br>Nota: existen categorías omitidas por su carácter dicotómico, las cuales son Hombre, Bachillerato, Localidad urbana, Escuela pública, Solamente estudia, Foráneo. <br><br>*p&lt;0.05. **p&lt;0.01. ***p&lt;0.001.
DOI: 10.6084/m9.figshare.12288374.v1
title: 8.tar.gz

description: 8/23 CAPTCHA data.
DOI: 10.6084/m9.figshare.12288338
title: 7.tar.gz

description: Captcha data 7/23
DOI: 10.6084/m9.figshare.12288425.v2
title: paramecium_bursaria_agopiwi_aa

description: Amino acid sequence data from Paramecium bursaria 186b.<br>Data corresponds to putative Ago-Piwi components.<br>
DOI: 10.6084/m9.figshare.12288185
title: Dataset: Spatiotemporal diversification of Sciurini (Abreu-Jr. et al.)

description: Sequence alignment of 13 mitochondrial protein-coding genes of 43 species of Sciurini (ingroup) and two species of Pteromyini (outgroup) used on the spatiotemporal diversification analyses of tree squirrels.
DOI: 10.6084/m9.figshare.12288320
title: 6.tar.gz

description: 6/21 CAPTCHA dataset.
DOI: 10.6084/m9.figshare.12288185.v1
title: Dataset: Spatiotemporal diversification of Sciurini (Abreu-Jr. et al.)

description: Sequence alignment of 13 mitochondrial protein-coding genes of 43 species of Sciurini (ingroup) and two species of Pteromyini (outgroup) used on the spatiotemporal diversification analyses of tree squirrels.
DOI: 10.6084/m9.figshare.12288320.v1
title: 6.tar.gz

description: 6/21 CAPTCHA dataset.
DOI: 10.6084/m9.figshare.12288338.v1
title: 7.tar.gz

description: Captcha data 7/23
DOI: 10.6084/m9.figshare.12288425.v1
title: paramecium_bursaria_agopiwi_aa

description: Amino acid sequence data from Paramecium bursaria 186b.<br>Data corresponds to putative Ago-Piwi components.<br>
DOI: 10.6084/m9.figshare.12288149
title: 5.tar.gz

description: 5/23 CAPTCHA data.
DOI: 10.6084/m9.figshare.12287963
title: Interface 3D objects.zip

description: These 3D objects were designed to mimick the macrostructure of pectinate antennae of moth (<i>Samia cynthia</i>). We varied the number of rami to values not found in nature.
DOI: 10.6084/m9.figshare.12287954
title: Wikipedia dataset

description: Dataset obtained from a wikipedia dump and preprocessed with https://github.com/Cecca/diversity-maximization/blob/master/datasets.sh<br>More details in the paper<br>
DOI: 10.6084/m9.figshare.12288149.v1
title: 5.tar.gz

description: 5/23 CAPTCHA data.
DOI: 10.6084/m9.figshare.12287954.v1
title: Wikipedia dataset

description: Dataset obtained from a wikipedia dump and preprocessed with https://github.com/Cecca/diversity-maximization/blob/master/datasets.sh<br>More details in the paper<br>
DOI: 10.6084/m9.figshare.12287924
title: MusixMatch dataset

description: Dataset obtained from http://millionsongdataset.com/musixmatch and preprocessed according to the script https://github.com/Cecca/diversity-maximization/blob/master/datasets.sh<br>The files genres.rank88.txt contains additional configuration for the experiments with this dataset<br><br>
DOI: 10.6084/m9.figshare.12287882
title: Seasonal effects of altered precipitation regimes on ecosystem-level CO2 fluxes and their drivers in a grassland from Eastern Australia

description: Data of Arca et al. 2020. Seasonal effects of altered precipitation regimes on ecosystem-level CO2 fluxes and their drivers in a grassland from Eastern Australia.
DOI: 10.6084/m9.figshare.12287924.v1
title: MusixMatch dataset

description: Dataset obtained from http://millionsongdataset.com/musixmatch and preprocessed according to the script https://github.com/Cecca/diversity-maximization/blob/master/datasets.sh<br>The files genres.rank88.txt contains additional configuration for the experiments with this dataset<br><br>
DOI: 10.6084/m9.figshare.12287882.v1
title: Seasonal effects of altered precipitation regimes on ecosystem-level CO2 fluxes and their drivers in a grassland from Eastern Australia

description: Data of Arca et al. 2020. Seasonal effects of altered precipitation regimes on ecosystem-level CO2 fluxes and their drivers in a grassland from Eastern Australia.
DOI: 10.6084/m9.figshare.12287876.v1
title: East China Sea LGM downscaling simulations

description: Raw model output (CROCO v1.0) for East China Sea LGM downscaling experiments based on PMIP3 LGM monthly climatologies. Output here is a monthly climatology calculated from the last 5 years of model output (from an 8-year total runtime). L1 and L2 refer to the 1/48 degree East China Sea and 1/16 degree western Pacific domains. Full methodology and description can be found in the accompanying paper.
DOI: 10.6084/m9.figshare.12287555.v2
title: Data for Curveira-Santos et al. "Responses of carnivore assemblages to decentralized conservation approaches in a South African landscape"

description: Free-ranging carnivore camera-trapping data from surveys surveys conducted across a landscape gradient of human intervention in the Maputaland region of northern KwaZulu-Natal, South Africa. Rows represent species by site (camera-traps) combinations. Columns represent the species (engname, latname), the management context (area [PA - provincial protected area, PR - private game reserve, GR - commercial game ranches, CL - Zulu communal land]), species-specific detection histories by occasion (det01:det100), and values for area indicator (Pstatus), detection (TRAIL_W, VEG_D) and occupancy (DIST_CF, LION, TREE_C) covariates. <br>
DOI: 10.15131/shef.data.12287498
title: BA Brexit Geomedia Shared Data

description: This archive contains shared materials pertaining to the forthcoming paper "Local media and geo-situated responses to Brexit: A quantitative analysis of Twitter, news and survey data" by Genevieve Gorrell, Mehmet E. Bakir, Luke Temple, Diana Maynard, Jackie Harrison, J. Miguel Kanai and Kalina Bontcheva.<br>It contains a folder with a separate document for each of the topic-model-derived topics explored in the paper. The first two columns are topic scores for material from each separate Twitter account in the corpus, along with their Brexit vote intention. After a blank column comes the national newspaper article topic scores. After a further blank column come the local newspaper article scores, along with the NUTS1 region in which they are published.<br>Additionally there is a spreadsheet with entity-based topic scores for each newspaper.<br>Ethics approval was obtained for the Twitter data collection from the University of Sheffield (application number 011934).
DOI: 10.15131/shef.data.12287498.v1
title: BA Brexit Geomedia Shared Data

description: This archive contains shared materials pertaining to the forthcoming paper "Local media and geo-situated responses to Brexit: A quantitative analysis of Twitter, news and survey data" by Genevieve Gorrell, Mehmet E. Bakir, Luke Temple, Diana Maynard, Jackie Harrison, J. Miguel Kanai and Kalina Bontcheva.<br>It contains a folder with a separate document for each of the topic-model-derived topics explored in the paper. The first two columns are topic scores for material from each separate Twitter account in the corpus, along with their Brexit vote intention. After a blank column comes the national newspaper article topic scores. After a further blank column come the local newspaper article scores, along with the NUTS1 region in which they are published.<br>Additionally there is a spreadsheet with entity-based topic scores for each newspaper.<br>Ethics approval was obtained for the Twitter data collection from the University of Sheffield (application number 011934).
DOI: 10.6084/m9.figshare.12287555.v1
title: Data for Curveira-Santos et al. "Responses of carnivore assemblages to decentralized conservation approaches in South Africa"

description: Free-ranging carnivore camera-trapping data from surveys surveys conducted across a landscape gradient of human intervention in the Maputaland region of northern KwaZulu-Natal, South Africa. Rows represent species by site (camera-traps) combinations. Columns represent the species (engname, latname), the management context (area [PA - provincial protected area, PR - private game reserve, GR - commercial game ranches, CL - Zulu communal land]), species-specific detection histories by occasion (det01:det100), and values for area indicator (Pstatus), detection (TRAIL_W, VEG_D) and occupancy (DIST_CF, LION, TREE_C) covariates. <br>
DOI: 10.6084/m9.figshare.12287456
title: Cedrus libani chorology

description: Distribution map of Lebanon cedar (<i>Cedrus libani</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn").<br>Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com).<br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007<br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.12287441
title: Cedrus atlantica chorology

description: Distribution map of Atlas cedar (<i>Cedrus atlantica</i>)<br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature.The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn").Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com)<br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007<br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.12287345
title: Maskrey_et_al_2018.xlsx

description: Full boldness and feeding datasets in neat (not formatted for coding) for the 2018 paper "Who dares does not always win: risk-averse rockpool prawns are better at controlling a limited food resource"<br><br>
DOI: 10.6084/m9.figshare.12287345.v1
title: Maskrey_et_al_2018.xlsx

description: Full boldness and feeding datasets in neat (not formatted for coding) for the 2018 paper "Who dares does not always win: risk-averse rockpool prawns are better at controlling a limited food resource"<br><br>
DOI: 10.6084/m9.figshare.12287288
title: MSCs and meshes for Hernia - qPCR data.txt

description: Gene expression of cells infiltrated in the surgical meshes at 1 week and 1 month after surgical mesh implantation was analyzed by quantitative Real Time PCR (qPCR). qPCR was performed with commercial gene expression assays (Life Technologies, Thermo Fisher Scientific Inc.), using TaqMan Fast Advance Master Mix (Life Technologies, Thermo Fisher Scientific Inc.), in accordance with the protocol provided by the manufacturer. The amplification of cDNAs was performed in a QuantStudio 3 System (Applied Biosystems, Thermo Fisher Scientific) and the qPCR products were quantified by fluorescent method using the 2<sup>-ΔCt</sup> expression. Duplicates of all samples were analyzed separately and normalized using HRPT1 as a reference gene.
DOI: 10.6084/m9.figshare.12287288.v2
title: MSCs and meshes for Hernia - qPCR data.txt

description: Gene expression of cells infiltrated in the surgical meshes at 1 week and 1 month after surgical mesh implantation was analyzed by quantitative Real Time PCR (qPCR). qPCR was performed with commercial gene expression assays (Life Technologies, Thermo Fisher Scientific Inc.), using TaqMan Fast Advance Master Mix (Life Technologies, Thermo Fisher Scientific Inc.), in accordance with the protocol provided by the manufacturer. The amplification of cDNAs was performed in a QuantStudio 3 System (Applied Biosystems, Thermo Fisher Scientific) and the qPCR products were quantified by fluorescent method using the 2<sup>-ΔCt</sup> expression. Duplicates of all samples were analyzed separately and normalized using HRPT1 as a reference gene.
DOI: 10.6084/m9.figshare.12287252
title: Semir Isovic - Basics of C# programming Certificate "Winter Coding School 2020"

description: Semir Isovic - Basics of C# programming Certificate "Winter Coding School 2020"
DOI: 10.6084/m9.figshare.12287258
title: Senad Curic - Basics of C# programming Certificate "Winter Coding School 2020"

description: Senad Curic - Basics of C# programming Certificate "Winter Coding School 2020"
DOI: 10.6084/m9.figshare.12287243
title: Samer Ibrahimovic - Basics of C# programming Certificate "Winter Coding School 2020"

description: Samer Ibrahimovic - Basics of C# programming Certificate "Winter Coding School 2020"
DOI: 10.6084/m9.figshare.12287252.v1
title: Semir Isovic - Basics of C# programming Certificate "Winter Coding School 2020"

description: Semir Isovic - Basics of C# programming Certificate "Winter Coding School 2020"
DOI: 10.6084/m9.figshare.12287258.v1
title: Senad Curic - Basics of C# programming Certificate "Winter Coding School 2020"

description: Senad Curic - Basics of C# programming Certificate "Winter Coding School 2020"
DOI: 10.6084/m9.figshare.12287225
title: Remzo Gusinac - Basics of C# programming Certificate "Winter Coding School 2020"

description: Remzo Gusinac - Basics of C# programming Certificate "Winter Coding School 2020"
DOI: 10.6084/m9.figshare.12287243.v1
title: Samer Ibrahimovic - Basics of C# programming Certificate "Winter Coding School 2020"

description: Samer Ibrahimovic - Basics of C# programming Certificate "Winter Coding School 2020"
DOI: 10.6084/m9.figshare.12287222
title: Metadata record for: Photographic database of the European cave salamanders, genus Hydromantes

description: This dataset contains key characteristics about the data described in the Data Descriptor Photographic database of the European cave salamanders, genus Hydromantes. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.12287225.v1
title: Remzo Gusinac - Basics of C# programming Certificate "Winter Coding School 2020"

description: Remzo Gusinac - Basics of C# programming Certificate "Winter Coding School 2020"
DOI: 10.6084/m9.figshare.12287162
title: Murat Ugljanin - Basics of C# programming Certificate "Winter Coding School 2020"

description: Murat Ugljanin - Basics of C# programming Certificate "Winter Coding School 2020"
DOI: 10.6084/m9.figshare.12287186
title: Omer Ljajic - Basics of C# programming Certificate "Winter Coding School 2020"

description: Omer Ljajic - Basics of C# programming Certificate "Winter Coding School 2020"
DOI: 10.6084/m9.figshare.12287222.v1
title: Metadata record for: Photographic database of the European cave salamanders, genus Hydromantes

description: This dataset contains key characteristics about the data described in the Data Descriptor Photographic database of the European cave salamanders, genus Hydromantes. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.12287186.v1
title: Omer Ljajic - Basics of C# programming Certificate "Winter Coding School 2020"

description: Omer Ljajic - Basics of C# programming Certificate "Winter Coding School 2020"
DOI: 10.6084/m9.figshare.12287150
title: Muhammed Besirovic - Basics of C# programming Certificate "Winter Coding School 2020"

description: Muhammed Besirovic - Basics of C# programming Certificate "Winter Coding School 2020"
DOI: 10.6084/m9.figshare.12287162.v1
title: Murat Ugljanin - Basics of C# programming Certificate "Winter Coding School 2020"

description: Murat Ugljanin - Basics of C# programming Certificate "Winter Coding School 2020"
DOI: 10.6084/m9.figshare.12287123
title: Muamer Rastic - Basics of C# programming Certificate "Winter Coding School 2020"

description: Muamer Rastic - Basics of C# programming Certificate "Winter Coding School 2020"
DOI: 10.6084/m9.figshare.12287150.v1
title: Muhammed Besirovic - Basics of C# programming Certificate "Winter Coding School 2020"

description: Muhammed Besirovic - Basics of C# programming Certificate "Winter Coding School 2020"
DOI: 10.6084/m9.figshare.12287123.v1
title: Muamer Rastic - Basics of C# programming Certificate "Winter Coding School 2020"

description: Muamer Rastic - Basics of C# programming Certificate "Winter Coding School 2020"
DOI: 10.6084/m9.figshare.12287096
title: Faruk Gudzevic - Basics of C# programming Certificate "Winter Coding School 2020"

description: Faruk Gudzevic - Basics of C# programming Certificate "Winter Coding School 2020"
DOI: 10.6084/m9.figshare.12287105
title: Imran Midovic - Basics of C# programming Certificate "Winter Coding School 2020"

description: Imran Midovic - Basics of C# programming Certificate "Winter Coding School 2020"
DOI: 10.6084/m9.figshare.12287090
title: Наборы данных для магистерской диссертации.xlsx

description: Наборы данных для анализа индекса деловой репутации и создания нового индекса по прокси-параметрам
DOI: 10.6084/m9.figshare.12287087
title: Microscale Mineral Identification from SEM Images Using Semantic Segmentation with Deep Learning

description: Data used in paper 'Microscale Mineral Identification from SEM Images Using Semantic Segmentation with Deep Learning'