cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wneiez
title: Occurrence Download

description: A dataset containing 4926508 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Argentina"
 ]
}

 The dataset includes 4926508 records from 1541 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007529-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.22j3qd
title: Occurrence Download

description: A dataset containing 1239 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhynchospora setigera (Kunth) Griseb."
 ]
}

 The dataset includes 1239 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001446-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.4836308
title: Database of geological observations (Datageol) in the region of Le Teil 2019 Mw4.9 earthquake

description: This database contains geological observations collected during field works in the region surrounding the 2019 Le Teil earthquake rupture, with the purpose of building a 3D geological model of the area. Related publication : Marconato L., P.-H. Leloup, C. Lasserre, R. Jolivet, S. Caritg, R. Grandin, M. Métois, O. Cavalié, L. Audin, Insights on fault reactivation during the 2019 November 11, M<sub>w</sub> 4.9 Le Teil earthquake in southeastern France, from a joint 3-D geological model and InSAR time-series analysis, Geophysical Journal International, Volume 229, Issue 2, May 2022, Pages 758–775, https://doi.org/10.1093/gji/ggab498
DOI: 10.5281/zenodo.4836307
title: Database of geological observations (Datageol) in the region of Le Teil 2019 Mw4.9 earthquake

description: This database contains geological observations collected during field works in the region surrounding the 2019 Le Teil earthquake rupture, with the purpose of building a 3D geological model of the area. Related publication : Marconato L., P.-H. Leloup, C. Lasserre, R. Jolivet, S. Caritg, R. Grandin, M. Métois, O. Cavalié, L. Audin, Insights on fault reactivation during the 2019 November 11, M<sub>w</sub> 4.9 Le Teil earthquake in southeastern France, from a joint 3-D geological model and InSAR time-series analysis, Geophysical Journal International, Volume 229, Issue 2, May 2022, Pages 758–775, https://doi.org/10.1093/gji/ggab498
DOI: 10.34740/kaggle/dsv/3147438
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.5281/zenodo.5984642
title: Dataset for evaluation of unrealistic optimism in time of pandemic COVID-19 on a Polish sample

description: This dataset contains the data used in a project called "Unrealistic optimism in the eye of the storm. Positive bias towards the consequences of COVID-19 during the second and third waves of the pandemic. ". The project concerns the occurrence of a cognitive bias - unrealistic optimism - with regard to contracting the coronavirus. The following information are attached to the dataset: codebooks with variables' names; analysis codes to replicate our results; supplementary materials with the description of procedures.
DOI: 10.5281/zenodo.5984641
title: Dataset for evaluation of unrealistic optimism in time of pandemic COVID-19 on a Polish sample

description: This dataset contains the data used in a project called "Unrealistic optimism in the eye of the storm. Positive bias towards the consequences of COVID-19 during the second and third waves of the pandemic. ". The project concerns the occurrence of a cognitive bias - unrealistic optimism - with regard to contracting the coronavirus. The following information are attached to the dataset: codebooks with variables' names; analysis codes to replicate our results; supplementary materials with the description of procedures.
DOI: 10.5281/zenodo.5983903
title: Distancia-Covid Contact Estimates for Spain

description: Estimates of age-specific contact patterns in Spain during the Covid-19 pandemic. This data was generated from the CSIC Distancia-Covid survey (https://distancia-covid.csic.es/). It includes estimated mean numbers of coresidents and non-coresident contacts by age group during 2020 and 2021. See distancia_covid_contact_estimates_spain_metadata_dictionary.csv for variable descriptions. This data is also hosted at https://github.com/Distancia-COVID/Distancia-Covid-Open-Data.
description: This data was generated from the survey implemented through the project "Impacto de las medidas de distanciamiento social sobre la expansión de la epidemia de Covid-19 en España," funded by the Spanish National Research Council (Consejo Superior de Investigaciones Científicas, CSIC). Processing and analysis was done with support from the Human-Mosquito Interaction Project (H-MIP) funded by European Research Council Starting Grant No. 853271, and the Versatile emerging infectious disease observatory (VEO) funded by the European Union's Horizon 2020 research and innovation programme under grant agreement No. 874735.
DOI: 10.3886/e145721
title: Trade, Farmers' Heterogeneity, and Agricultural Productivity: Evidence from Colombia

description: This paper studies how farmers' participation in non-local markets shapes agricultural productivity. Using farm-level data from Colombia, we document two empirical patterns about the spatial structure of agricultural production. First, across municipalities, better access to urban centers increases farmers' productivity and participation in non-local markets, but reduces farm size. Second, within municipalities and crop-choices, larger farms participate more in non-local markets and have higher productivity. To rationalize these patterns, we introduce farmers with heterogeneous productivity and market participation choices into a spatial economy model. We take the model to data and find that removing the geographic barriers to farmers' participation in non-local markets can increase Colombia's agricultural value added by up to 14%. Changes in the productivity composition of farmers contribute substantially to this impact, particularly in remote regions with low participation of farmers in non-local markets.
DOI: 10.3886/e145721v2
title: Trade, Farmers' Heterogeneity, and Agricultural Productivity: Evidence from Colombia

description: This paper studies how farmers' participation in non-local markets shapes agricultural productivity. Using farm-level data from Colombia, we document two empirical patterns about the spatial structure of agricultural production. First, across municipalities, better access to urban centers increases farmers' productivity and participation in non-local markets, but reduces farm size. Second, within municipalities and crop-choices, larger farms participate more in non-local markets and have higher productivity. To rationalize these patterns, we introduce farmers with heterogeneous productivity and market participation choices into a spatial economy model. We take the model to data and find that removing the geographic barriers to farmers' participation in non-local markets can increase Colombia's agricultural value added by up to 14%. Changes in the productivity composition of farmers contribute substantially to this impact, particularly in remote regions with low participation of farmers in non-local markets.
DOI: 10.5281/zenodo.5979556
title: Database for the Geospatial Synthesis of Biogeochemical Attributions of Porphyrins to Oil Pollution in Marine Sediments of the Gulf of México

description: This dataset is associated with the journal article "Geospatial Synthesis of Biogeochemical Attributions of Porphyrins to Oil Pollution in Marine Sediments of the Gulf of México" by Muñoz-Arriola and Macias-Zamora (2022). The porphyrin and biogeochemical data were obtained by and analyzed at the Universidad Autónoma de Baja California's Instituto de Investigaciones Oceanológicas. The samples were collected to identify the effects of natural and human-originated oil spills in the Campeche Sound, and these efforts are part of the oceanographic campaign Xaman-Ek. Associated references are: Munoz-Arriola, F. and V. Macias-Zamora (2022) <em>Geospatial Synthesis of Biogeochemical Attributions of Porphyrins to Oil Pollution in Marine Sediments of the Gulf of México</em>. Geosciences. https://doi.org/10.3390/ geosciences12020077. Macias-Zamora, J. V., J. A. Villaescusa-Celaya; A. Munoz-Barbosa; and G. Gold-Bouchot (1999). Trace metals in sediment cores from the Campeche shelf, Gulf of Mexico. Environmental Pollution. Vol 104:69-77.
DOI: 10.5281/zenodo.5979555
title: Database for the Geospatial Synthesis of Biogeochemical Attributions of Porphyrins to Oil Pollution in Marine Sediments of the Gulf of México

description: This dataset is associated with the journal article "Geospatial Synthesis of Biogeochemical Attributions of Porphyrins to Oil Pollution in Marine Sediments of the Gulf of México" by Muñoz-Arriola and Macias-Zamora (2022). The porphyrin and biogeochemical data were obtained by and analyzed at the Universidad Autónoma de Baja California's Instituto de Investigaciones Oceanológicas. The samples were collected to identify the effects of natural and human-originated oil spills in the Campeche Sound, and these efforts are part of the oceanographic campaign Xaman-Ek. Associated references are: Munoz-Arriola, F. and V. Macias-Zamora (2022) <em>Geospatial Synthesis of Biogeochemical Attributions of Porphyrins to Oil Pollution in Marine Sediments of the Gulf of México</em>. Geosciences. https://doi.org/10.3390/ geosciences12020077. Macias-Zamora, J. V., J. A. Villaescusa-Celaya; A. Munoz-Barbosa; and G. Gold-Bouchot (1999). Trace metals in sediment cores from the Campeche shelf, Gulf of Mexico. Environmental Pollution. Vol 104:69-77.
DOI: 10.5281/zenodo.5977870
title: DeepFish dataset

description: Image bank of fish trays collected in the Campello fish market by artisanal fishing belonging to the DeepFish project. JSON files are prepared to be used with the program "Django Labeller", but it can be converted to any format, f.e. "COCO". They are composed by an object containing the name of the image and the labels appearing in it. Inside each label we will have: Type of label. It can be a size (total, diameter of the eye...), tray or fish specie. Class of the label. It means the concrete specie, measurement or tray depending on the type of label. Semantic segmentation represented by one or multiple regions in case of occlusions. Represented by an array of coordinates in the image (x and y). Object_id: Identifier of the label, unique in the entire dataset. Father_object_id: In case this is not the main object (The label with the segmentation of the specie). It will point to the id of that main specie which it belongs. It means, if this is the total size, it will point to the fish sized like that.
description: This project is developed with the collaboration of the Biodiversity Foundation of the Ministry for Ecological Transition and the Demographic Challenge of Spain, through the Pleamar Program, co-financed by the FEMP.
DOI: 10.5281/zenodo.5984965
title: raw data

description: raw data
DOI: 10.5281/zenodo.5984964
title: raw data

description: raw data
DOI: 10.5519/qd.dsgv9b90
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.lcs9kvr9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (33 records)
DOI: 10.6084/m9.figshare.19127618
title: Data File for "Political Economy of Soda Taxation"

description: Sriparna Ghosh and Joshua Hall, “The Political Economy of Soda Taxation,” <i>Economics Bulletin</i> 38(2) 2018: 1-8.<br>
DOI: 10.6084/m9.figshare.19127618.v1
title: Data File for "Political Economy of Soda Taxation"

description: Sriparna Ghosh and Joshua Hall, “The Political Economy of Soda Taxation,” <i>Economics Bulletin</i> 38(2) 2018: 1-8.<br>
DOI: 10.5281/zenodo.5985305
title: VGP assembly training datasets

description: This Zenodo repository includes the required datasets for following the VGP assembly training.
DOI: 10.5281/zenodo.5985413
title: VGP assembly training datasets

description: This Zenodo repository includes the required datasets for following the VGP assembly training.
DOI: 10.5281/zenodo.4071906
title: Monthly climatology of the upper Southern Ocean south of 60S

description: Climatology of <em>in-situ </em>temperature and practical salinity south of 60S, from 10 to 380m, resolution 0.5x0.5 degrees. The maps are based on Argo, shipboard and seals CTD data. The raw profiles are decomposed in modes using a functional PCA (Pauthenet et al, 2019). The resulting principal components horizontal fields are interpolated for each months on a regular 0.5x0.5 degree grid, with the optimal interpolation of Schmidtko et al. (2013). Then climatological profiles are reconstructed at each grid points. Citation of the associated paper : Pauthenet, E., Sallée, J. B., Schmidtko, S., & Nerini, D. (2021). Seasonal Variation of the Antarctic Slope Front Occurrence and Position Estimated from an Interpolated Hydrographic Climatology. <em>Journal of Physical Oceanography</em>, <em>51</em>(5), 1539-1557.
DOI: 10.5281/zenodo.4071905
title: Monthly climatology of the upper Southern Ocean south of 60S

description: Climatology of <em>in-situ </em>temperature and practical salinity south of 60S, from 10 to 380m, resolution 0.5x0.5 degrees. The maps are based on Argo, shipboard and seals CTD data. The raw profiles are decomposed in modes using a functional PCA (Pauthenet et al, 2019). The resulting principal components horizontal fields are interpolated for each months on a regular 0.5x0.5 degree grid, with the optimal interpolation of Schmidtko et al. (2013). Then climatological profiles are reconstructed at each grid points. Citation of the associated paper : Pauthenet, E., Sallée, J. B., Schmidtko, S., & Nerini, D. (2021). Seasonal Variation of the Antarctic Slope Front Occurrence and Position Estimated from an Interpolated Hydrographic Climatology. <em>Journal of Physical Oceanography</em>, <em>51</em>(5), 1539-1557.
DOI: 10.5519/qd.c98thpwh
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (46 records)
DOI: 10.34740/kaggle/dsv/3147886
title: Mahanagar Yatayat Dataset
DOI: 10.5281/zenodo.5977441
title: Dataset files for 'Tan et al., Hydraulic Fracturing Induced Seismicity in the Changning Shale Gas Field: Evidence From 3-D Combined Seismic Velocity and Pore Pressure Field Model'

description: These files are the data and result files for the manuscript entitled<strong> 'Hydraulic Fracturing Induced Seismicity in the Changning Shale Gas Field: Evidence From 3-D Combined Seismic Velocity and Pore Pressure Field Model</strong><strong>'</strong> by Tan et al., including catalog.dat : the seismic phase catalog used in seismic tomography station.dat : the station coordinates of the local seismic network 1-D Vs.xlsx : the 1-D Vs model in the shale gas field 3-D VpVs.sgy: the 3-D Vp/Vs model obtained by double-difference seismic tomography 3-D pressure.sgy: the 3-D pore pressure field model obtained by focal mechanism tomography
DOI: 10.5281/zenodo.5985602
title: Leaked U.S. Department of Defense DMED (Defense Medical Epidemiology Database)

description: This is a database and accompanying report first appearing on a google drive link shared by Attorney Thomas Renz of Renz Law with the Epoch Times as well as embedded into Thomas Renz' website.<br> <br> According to DHA's Armed Forces Surveillance Division, the data in this database is incorrect for the years 2016-2020. (Watson, 2022) DMED is a web tool to query medical event data contained within the Defense Medical Surveillance System. The AFHSD claims that due to a serious error in their system, data between the years of 2016-2020 has been incredibly under-reported which has lead to the appearance of a significant increase of occurrences of medical diagnoses in 2021. (Watson 2022)<br> <br> <strong>References:</strong> Renz, T. (2021, October 1). <em>Attorney Tom Renz discovers leaked DOD covid files</em>. Renz Law. Retrieved February 6, 2022, from https://renz-law.com/attorney-tom-renz-discovers-leaked-dod-covid-files/ Watson, S. (2022, February 6). <em>Pentagon responds to DOD whistleblowers' claim of spiking disease rates in the military after Covid Vaccine Mandate</em>. InfoWars. Retrieved February 6, 2022, from https://www.infowars.com/posts/pentagon-responds-to-dod-whistleblowers-claim-of-spiking-disease-rates-in-the-military-after-covid-vaccine-mandate/
DOI: 10.5281/zenodo.5985601
title: Leaked U.S. Department of Defense DMED (Defense Medical Epidemiology Database)

description: This is a database and accompanying report first appearing on a google drive link shared by Attorney Thomas Renz of Renz Law with the Epoch Times as well as embedded into Thomas Renz' website.<br> <br> According to DHA's Armed Forces Surveillance Division, the data in this database is incorrect for the years 2016-2020. (Watson, 2022) DMED is a web tool to query medical event data contained within the Defense Medical Surveillance System. The AFHSD claims that due to a serious error in their system, data between the years of 2016-2020 has been incredibly under-reported which has lead to the appearance of a significant increase of occurrences of medical diagnoses in 2021. (Watson 2022)<br> <br> <strong>References:</strong> Renz, T. (2021, October 1). <em>Attorney Tom Renz discovers leaked DOD covid files</em>. Renz Law. Retrieved February 6, 2022, from https://renz-law.com/attorney-tom-renz-discovers-leaked-dod-covid-files/ Watson, S. (2022, February 6). <em>Pentagon responds to DOD whistleblowers' claim of spiking disease rates in the military after Covid Vaccine Mandate</em>. InfoWars. Retrieved February 6, 2022, from https://www.infowars.com/posts/pentagon-responds-to-dod-whistleblowers-claim-of-spiking-disease-rates-in-the-military-after-covid-vaccine-mandate/
DOI: 10.6084/m9.figshare.19127757.v1
title: Additional file 4 of Geographical differences of carbapenem non-susceptible Enterobacterales and Acinetobacter spp. in Germany from 2017 to 2019

description: Additional file 4. Univariable analysis of type of hospital, hospital density and hospital size and notification incidence of notified hospitalised CRA (n = 2,051) and CRE (n = 11,183) per district, Germany, 2017.
DOI: 10.6084/m9.figshare.19127757
title: Additional file 4 of Geographical differences of carbapenem non-susceptible Enterobacterales and Acinetobacter spp. in Germany from 2017 to 2019

description: Additional file 4. Univariable analysis of type of hospital, hospital density and hospital size and notification incidence of notified hospitalised CRA (n = 2,051) and CRE (n = 11,183) per district, Germany, 2017.
DOI: 10.5517/ccdc.csd.cc269l37
title: CCDC 2034998: Experimental Crystal Structure Determination

description: Related Article: Jenna N. Humke, Ryan A. Daley, Aaron S. Morrenzin, Sharon R. Neufeldt, Brendan J. Graziano, Joseph J. Topczewski|2022|CSD Communication|||
DOI: 10.5281/zenodo.5985963
title: Estadísticas de jugadores de la NBA 2021-2022

description: Estadísticas de jugadores de la NBA 2021-2022
DOI: 10.5281/zenodo.5958079
title: Estadísticas de jugadores de la NBA 2021-2022

description: Estadísticas de jugadores de la NBA 2021-2022
DOI: 10.5281/zenodo.5535727
title: Persistence of the isotopic signature of pentavalent uranium in magnetite

description: Original data pertaining to the manuscript 'Persistence of the isotopic signature of pentavalent uranium in magnetite' published in Environmental Science and Technology by Zezhen Pan, Yvonne Roebbert, Aaron Beck, Barbora Bartova, Tonya Vitova, Stefan Weyer, Rizlan Bernier-Latmani. https://doi.org/10.1021/acs.est.1c06865
DOI: 10.5281/zenodo.5535726
title: Persistence of the isotopic signature of pentavalent uranium in magnetite

description: Original data pertaining to the manuscript 'Persistence of the isotopic signature of pentavalent uranium in magnetite' published in Environmental Science and Technology by Zezhen Pan, Yvonne Roebbert, Aaron Beck, Barbora Bartova, Tonya Vitova, Stefan Weyer, Rizlan Bernier-Latmani. https://doi.org/10.1021/acs.est.1c06865
DOI: 10.5281/zenodo.5984713
title: Outputs of the Jupyter Notebook - Met Office UKV high-resolution atmosphere model data

description: The dataset contains the outputs of the notebook "Met Office UKV high-resolution atmosphere model data" published in the urban sensors section of The Environmental Data Science Book. <strong>Contributions</strong> <em>Notebook</em> Samantha V. Adams (author), Met Office Informatics Lab, @svadams Alejandro Coca-Castro (reviewer), The Alan Turing Institute, @acocac <em>Dataset originator/creator</em> Met Office Informatics Lab (creator) Microsoft (support) European Regional Development Fund (support) <em>Dataset authors</em> Met Office <em>Dataset documentation</em> Theo McCaie. Met office and partners offer data and compute platform for covid-19 researchers. URL: https://medium.com/informatics-lab/met-office-and-partners-offer-data-and-compute-platform-for-covid-19-researchers-83848ac55f5f.
DOI: 10.5281/zenodo.5984712
title: Outputs of the Jupyter Notebook - Met Office UKV high-resolution atmosphere model data

description: The dataset contains the outputs of the notebook "Met Office UKV high-resolution atmosphere model data" published in the urban sensors section of The Environmental Data Science Book. <strong>Contributions</strong> <em>Notebook</em> Samantha V. Adams (author), Met Office Informatics Lab, @svadams Alejandro Coca-Castro (reviewer), The Alan Turing Institute, @acocac <em>Dataset originator/creator</em> Met Office Informatics Lab (creator) Microsoft (support) European Regional Development Fund (support) <em>Dataset authors</em> Met Office <em>Dataset documentation</em> Theo McCaie. Met office and partners offer data and compute platform for covid-19 researchers. URL: https://medium.com/informatics-lab/met-office-and-partners-offer-data-and-compute-platform-for-covid-19-researchers-83848ac55f5f.
DOI: 10.15468/dl.qgc9of
title: Occurrence Download

description: A dataset containing 61809 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senna Mill.",
 {
 "or" : [
 "Country is Uruguay",
 "Country is Chile",
 "Country is Paraguay",
 "Country is Colombia",
 "Country is Bolivia (Plurinational State of)",
 "Country is Venezuela (Bolivarian Republic of)",
 "Country is Brazil",
 "Country is Argentina",
 "Country is Guyana",
 "Country is Peru",
 "Country is Ecuador",
 "Country is French Guiana",
 "Country is Suriname"
 ]
 }
 ]
}

 The dataset includes 61809 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000141-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6rsnma
title: Occurrence Download

description: A dataset containing 97820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Estonia",
 "DatasetKey is Estonian Nature Observations Database",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 97820 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029356-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8qh6x
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elatostema abangense Amshoff"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0187094-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.