cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2h6qr6
title: CCDC 2300378: Experimental Crystal Structure Determination

description: Related Article: Mridul Karmakar, Rosa M. Gomila, Antonio Frontera, Shouvik Chattopadhyay|2024|Cryst.Growth Des.|24|5990|doi:10.1021/acs.cgd.4c00479
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h6qs7
title: CCDC 2300379: Experimental Crystal Structure Determination

description: Related Article: Mridul Karmakar, Rosa M. Gomila, Antonio Frontera, Shouvik Chattopadhyay|2024|Cryst.Growth Des.|24|5990|doi:10.1021/acs.cgd.4c00479
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h6qt8
title: CCDC 2300380: Experimental Crystal Structure Determination

description: Related Article: Mridul Karmakar, Rosa M. Gomila, Antonio Frontera, Shouvik Chattopadhyay|2024|Cryst.Growth Des.|24|5990|doi:10.1021/acs.cgd.4c00479
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h6qv9
title: CCDC 2300381: Experimental Crystal Structure Determination

description: Related Article: Mridul Karmakar, Rosa M. Gomila, Antonio Frontera, Shouvik Chattopadhyay|2024|Cryst.Growth Des.|24|5990|doi:10.1021/acs.cgd.4c00479
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hf1ff
title: CCDC 2306444: Experimental Crystal Structure Determination

description: Related Article: Mahesh  Kumar|2023|CSD Communication|||
description: Related Article: Mahesh Kumar, Anup Kumar Sharma, Km Ishu, Krishna Nand Singh|2024|J.Org.Chem.|89|9888|doi:10.1021/acs.joc.4c00669
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hjf2k
title: CCDC 2309688: Experimental Crystal Structure Determination

description: Related Article: Jing Zhou, Xiang Huang, Xin Yu, Liu Yang, Jia-Yi Han, Tsesong Lhazom, Hai-Lei Cui|2024|J.Org.Chem.|89|9789|doi:10.1021/acs.joc.4c00151
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2j3g7c
title: CCDC 2327022: Experimental Crystal Structure Determination

description: Related Article: Isabella J. Jupiter, Jesus Daniel Loya, Nicholas Lutz, Paulina M. Sittinger, Eric W. Reinheimer, Gonzalo Campillo-Alvarado|2024|Cryst.Growth Des.|24|5883|doi:10.1021/acs.cgd.4c00125
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2j3g8d
title: CCDC 2327023: Experimental Crystal Structure Determination

description: Related Article: Isabella J. Jupiter, Jesus Daniel Loya, Nicholas Lutz, Paulina M. Sittinger, Eric W. Reinheimer, Gonzalo Campillo-Alvarado|2024|Cryst.Growth Des.|24|5883|doi:10.1021/acs.cgd.4c00125
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2j3g9f
title: CCDC 2327024: Experimental Crystal Structure Determination

description: Related Article: Isabella J. Jupiter, Jesus Daniel Loya, Nicholas Lutz, Paulina M. Sittinger, Eric W. Reinheimer, Gonzalo Campillo-Alvarado|2024|Cryst.Growth Des.|24|5883|doi:10.1021/acs.cgd.4c00125
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2j3gbg
title: CCDC 2327025: Experimental Crystal Structure Determination

description: Related Article: Isabella J. Jupiter, Jesus Daniel Loya, Nicholas Lutz, Paulina M. Sittinger, Eric W. Reinheimer, Gonzalo Campillo-Alvarado|2024|Cryst.Growth Des.|24|5883|doi:10.1021/acs.cgd.4c00125
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.fku4h8
title: Occurrence Download

description: A dataset containing 1870 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventario florístico en Baja California Sur: Región del Cabo e Islas adyacentes"
 ]
}

 The dataset includes 1870 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038318-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26384071
title: FDR_RF.xlsx

description: RF_FDR
DOI: 10.5281/zenodo.12988396
title: The Voter and the Propagandistic Discourse

description: This study revealed patterns and strategies in digital political communication, and highlighted the importance of the clarity, relevance and emotional tone of social media messages in influencing the perception and decisions of the electorate.
DOI: 10.5281/zenodo.12988397
title: The Voter and the Propagandistic Discourse

description: This study revealed patterns and strategies in digital political communication, and highlighted the importance of the clarity, relevance and emotional tone of social media messages in influencing the perception and decisions of the electorate.
DOI: 10.15468/dl.4jxe6w
title: Occurrence Download

description: A dataset containing 3366 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 {
 "or" : [
 "Year is 2021",
 "Year is 2022",
 "Year is 2023",
 "Year is 2024"
 ]
 },
 "StateProvince is one of (guaviare)",
 "TaxonKey is one of (Icteridae)"
 ]
 }
 ]
}

 The dataset includes 3366 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038319-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ucwjex
title: Occurrence Download

description: A dataset containing 3366 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 {
 "or" : [
 "Year is 2021",
 "Year is 2022",
 "Year is 2023",
 "Year is 2024"
 ]
 },
 "StateProvince is one of (guaviare)",
 "TaxonKey is one of (Icteridae)"
 ]
 }
 ]
}

 The dataset includes 3366 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038320-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ub9m7q
title: Occurrence Download

description: A dataset containing 458548 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-07-01",
 "EventDate is less than or equal to 2024-07-31",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 458548 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038308-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15472/f3hh5o
title: Caracterización de aves para el registro del Banco de Hábitat Sabanas de altillanura del Meta "El Amparo"

description: Los bancos de hábitat se definen como un área en la que se pueden realizar actividades de preservación, restauración, rehabilitación, recuperación y/o uso sostenible para la conservación de la biodiversidad. Así mismo se convierten en un mecanismo de implementación de inversiones ambientales y compensaciones, ampliamente utilizado en otros países, los cuales han demostrado generar resultados permanentes y sostenibles en materia de conservación de ecosistemas, contribuyendo en la implementación de las medidas compensatorias.
description: El recurso contiene la información de avifauna recopilada (545 registros biológicos) durante el proceso de registro ante el Ministerio de Ambiente del Banco de Hábitat Sabanas de Altillanura del Meta "El Amparo" ubicado en la reserva natural El Amparo en el Municipio de Puerto López. La información fue recolectada a través de un muestreo rápido mediante el establecimiento de parcelas de vegetación durante el mes de febrero del 2022. Taxonómicamente el recurso está dividido en 15 órdenes, 36 familias, 77 géneros y 84 especies.
DOI: 10.15468/dl.ufyszq
title: Occurrence Download

description: A dataset containing 40078 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is a41250f0-7c3e-11d8-a19c-b8a03c50a862",
 "DatasetName ~*HBL"
 ]
}

 The dataset includes 40078 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038321-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xvn359
title: Occurrence Download

description: A dataset containing 40078 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is a41250f0-7c3e-11d8-a19c-b8a03c50a862",
 "DatasetName ~*HBL"
 ]
}

 The dataset includes 40078 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038322-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e208169
title: Land Reform and Agrarian Socialism: Evidence from 1930s Spain

description: Data and Replication files of Domènech, Jordi, Ilona Lahdelma, Pablo Martinelli, "Land Reform and Agrarian Socialism in Interwar Europe Evidence from 1930s Spain before Civil War"<br><br>
DOI: 10.3886/e208169v1
title: Land Reform and Agrarian Socialism: Evidence from 1930s Spain

description: Data and Replication files of Domènech, Jordi, Ilona Lahdelma, Pablo Martinelli, "Land Reform and Agrarian Socialism in Interwar Europe Evidence from 1930s Spain before Civil War"<br><br>
DOI: 10.25345/c5901zt1h
title: MassIVE MSV000095456 - Advanced multimodal mass spectrometry imaging reveals functional differences of placental villous compartments at microscale resolution
title: We advanced our previously developed Metabolome Informed Proteome Imaging (MIPI) workflow and demonstrated its application in bio-medical science to elucidate molecular processes at microscale resolution. To prove MIPI's ability to functionally reduce the heterogeneity and complexity of human tissue, we utilized a full-term placenta from an obese person. Lipidomic and metabolomic imaging by MALDI-MSI visualized molecular composition and dynamic activities across the tissue sections, mapping placental villous regions with enriched metabolic activity related to sterol lipids and fatty acid processing. Our complementary proteome profiling of mapped regions allowed us to capture region-specific enzymes. Integration of the data from our multimodal MS-based approaches reconstructed underlying biological pathways relevant to placental function across histologically distinct villi regions.
DOI: 10.15468/dl.f8vw4p
title: Occurrence Download

description: A dataset containing 134083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 134083 records from 187 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038323-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2fypqm
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is CAJ | Inventário Florestal da Estação de Tratamento de Água Piraí"
 ]
}

 The dataset includes 170 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038324-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5063/f1cz35n7
title: Aquatic Resource Trade in Species (ARTIS)

description: Food systems have become increasingly globalized, with over a quarter of all food now traded internationally. Seafood is among the most highly traded foods and it is becoming increasingly globalized, with trade doubling in recent decades. At the same time, seafood is now widely recognized as a critical source of nutrition. Thus, social and environmental threats to local seafood production, including environmental extremes, price impacts of market integration, networked risks, and increased availability of processed foods, must be evaluated in the context of global trade. These issues are paralleled by similar questions for other natural resources and are central to global food systems research. However, our collective understanding of the environmental and human outcomes of food system globalization is limited by a fundamental gap between production and trade data. We bridge this gap in the Aquatic Resource Trade in Species (ARTIS) database by providing the first global estimates of seafood species and nutrient trade flows from 1996–2020.
 Full methods details available in the ARTIS manual: https://seafood-globalization-lab.github.io/artis-manual/
DOI: 10.15468/dl.g89fn5
title: Occurrence Download

description: A dataset containing 150381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ononis spinosa subsp. procurrens (Wallr.) Briq.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 150381 records from 800 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038317-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5063/f1862dxt
title: ARTIS input data and model

description: This code base contains a folder of raw data inputs, cleaned data inputs, and all code for running the Aquatic Resource Trade in Species (ARTIS) model on a local computer or AWS. This corresponds with Github release ARTIS-model v1.0 (https://github.com/Seafood-Globalization-Lab/artis-model/releases/tag/v1.0). 
 Full methods details available in the ARTIS manual: https://seafood-globalization-lab.github.io/artis-manual/
DOI: 10.15468/dl.uneybh
title: Occurrence Download

description: A dataset containing 8323 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ononis arvensis L.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 8323 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038326-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ux4vhq
title: Occurrence Download

description: A dataset listing the 336 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Geometry POLYGON((-103.4197 20.23667,-103.42165 20.25057,-103.41817 20.27739,-103.41343 20.28811,-103.40952 20.2889,-103.39488 20.28746,-103.38832 20.28968,-103.38288 20.29125,-103.37842 20.29334,-103.37424 20.29177,-103.36338 20.29071,-103.34567 20.29503,-103.36869 20.29935,-103.38783 20.30301,-103.40767 20.29703,-103.42609 20.29304,-103.44133 20.29337,-103.45869 20.29404,-103.45762 20.31132,-103.48242 20.30534,-103.49093 20.28739,-103.48101 20.26679,-103.46365 20.25582,-103.44664 20.25183,-103.44522 20.24219,-103.4314 20.23687,-103.42822 20.21726,-103.40873 20.20828,-103.37401 20.20595,-103.36083 20.22533,-103.37275 20.2275,-103.38242 20.22671,-103.38824 20.22724,-103.39745 20.22556,-103.40383 20.22512,-103.41012 20.22689,-103.41341 20.23076,-103.41839 20.23305,-103.4197 20.23667))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2024"
 ]
}

 The dataset's 336 records were derived from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038325-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5kuuap
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Angola",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Echinometra lucunter (Linnaeus, 1758)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038329-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12994683
title: Table S3_Gene annotations
DOI: 10.5281/zenodo.12994684
title: Table S3_Gene annotations
DOI: 10.15468/dl.ubfdez
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Panthera uncia (Schreber, 1775)"
 ]
}

 The dataset includes 130 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038330-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12995077
title: Diversity's Role in Collaboration and Conflict: A Case-Study of React.js
DOI: 10.5281/zenodo.12995078
title: Diversity's Role in Collaboration and Conflict: A Case-Study of React.js
DOI: 10.15468/dl.b8gb9p
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Millipedes and centipedes in German greenhouses (Myriapoda: Diplopoda, Chilopoda)",
 "TaxonKey is Leptogoniulus Silvestri, 1897"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038331-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12795582
title: Wallops SuperDARN data in netCDF format (2023-Apr)

description: 2023-Apr Wallops SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.
The RST is available here: https://github.com/SuperDARN/rst
The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.
Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)
Recommended form of acknowledgement for the use of SuperDARN data:
'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'