cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/jwt-2h7-dyv
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.8dhvtb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cardellina canadensis (Linnaeus, 1766)",
 "Country is Canada"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024744-230530130749713/datasets/export for details.
DOI: 10.15468/dl.9stre0
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029794-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zrbdr9
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097008-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f7th7s
title: Occurrence Download

description: A dataset containing 551238724 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is LC",
 "OccurrenceStatus is Present",
 "Year 2017-2022"
 ]
}

 The dataset includes 551238724 records from 3481 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120296-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysk662
title: Occurrence Download

description: A dataset containing 188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Parailia pellucida)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 188 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022790-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a4fhhm
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyromaia tuberculata",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022789-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.72knkf
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Inga sierrae"
 ]
}

 The dataset includes 136 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022792-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9q7e35
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "TaxonKey is Trypanosoma"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022793-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8gn46
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyromaia tuberculata",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 26 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022791-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/7uoxua
title: Evidências de validade do questionário de transplante renal: um protocolo de revisão de escopo

description: Mapear as cinco fontes de evidências de validade do instrumento Questionário de Transplante Renal em idiomas distintos frente as diretrizes vigentes para subsidiar estudos futuros.
DOI: 10.5281/zenodo.16756828
title: Examining the Impact of Social Media Marketing Activities and Customer Experience on Participation Intention: Mediating Effect of Relationship Quality in Skincare Brands Targeting Millennials and Gen Z

description: Abstract— In today’s digital era, social media serves as a strategic platform for skincare brands to engage directly with consumers and strengthen relationship quality. This study explores how Social Media Marketing Activities (SMMA) and customer experience influence relationship quality and drive participation intention among millennials and Gen Z. Using data from 422 respondents analyzed via SmartPLS 4, results indicate that customer experience significantly enhances relationship quality, which positively impacts participation intention. The study highlights the need for skincare brands to create customer-centric social media content aligned with SMMA dimensions to improve engagement and long-term brand performance.

Keywords: Social Media Marketing Activity, Customer Experience, Relationship Quality, Participation Intention, Skincare, Millennials, Gen Z.
DOI: 10.5281/zenodo.16756829
title: Examining the Impact of Social Media Marketing Activities and Customer Experience on Participation Intention: Mediating Effect of Relationship Quality in Skincare Brands Targeting Millennials and Gen Z

description: Abstract— In today’s digital era, social media serves as a strategic platform for skincare brands to engage directly with consumers and strengthen relationship quality. This study explores how Social Media Marketing Activities (SMMA) and customer experience influence relationship quality and drive participation intention among millennials and Gen Z. Using data from 422 respondents analyzed via SmartPLS 4, results indicate that customer experience significantly enhances relationship quality, which positively impacts participation intention. The study highlights the need for skincare brands to create customer-centric social media content aligned with SMMA dimensions to improve engagement and long-term brand performance.

Keywords: Social Media Marketing Activity, Customer Experience, Relationship Quality, Participation Intention, Skincare, Millennials, Gen Z.
DOI: 10.15468/dl.fbtqz6
title: Occurrence Download

description: A dataset containing 18996 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corvus macrorhynchos",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18996 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022794-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.388wef
title: Occurrence Download

description: A dataset containing 2058616 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Trifolium pratense, Teucrium polium, Tamarix, Sophora japonica, Ruta graveolens, Senecio vulgaris, Senna didymobotrya)"
 ]
}

 The dataset includes 2058616 records from 5348 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022770-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ex479j
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllodytes magnus Dias, Novaes-e-Fagundes, Mollo-Neto, Zina, Garcia, Recoder, Dal Vechio, Rodrigues & Solé, 2020"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009930-250515123054153/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.29109653
title: interview Sophie.docx

description: In-depth interview transcription
DOI: 10.15468/dl.xcjxgt
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brassica juncea",
 "Country is Romania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081967-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v5xezn
title: Occurrence Download

description: A dataset containing 24355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aquila spilogaster)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 24355 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081966-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24435/materialscloud:2x-9j
title: HTA - An open-source software for assigning heads and tails to SMILES in polymerization reactions

description: Polymers are versatile materials with a wide range of applications. The improvement of polymer properties rises the importance on the way that the repeating units are connected (head-to-tail,head-to-head,tail-to-tail) to build the polymer structure since it directly influences the morphology, chain topology and consequently its properties. Artificial intelligence (AI) based approaches are beginning to impact several domains of human life, science and technology. Polymer informatics is one such domain where AI and machine learning (ML) tools are being used in the efficient development, design and discovery of polymer. One key enabling factor for the essential foundations for Polymer Informatics is the machine-readable polymer representation. Polymer have been represented in a string format with special characters used to tag the head and tail positions indicating where the linking bond happens between repeat units. Available tools to assign the head and tail position limits its applicability in a broad sense. In this work we show a new tool to assign the head and tail atoms for a given monomer. From a database of 206 polymer precursors curated from the literature, our algorithm correctly predicted the class of 201 data points, which represents 97.6% of accuracy and regarding the the head and tail assignment, correctly assigned the positions for 188 data points, which translates to 91.3% of accuracy.
DOI: 10.24435/materialscloud:n3-c0
title: HTA - An open-source software for assigning heads and tails to SMILES in polymerization reactions

description: Polymers are versatile materials with a wide range of applications. The improvement of polymer properties rises the importance on the way that the repeating units are connected (head-to-tail,head-to-head,tail-to-tail) to build the polymer structure since it directly influences the morphology, chain topology and consequently its properties. Artificial intelligence (AI) based approaches are beginning to impact several domains of human life, science and technology. Polymer informatics is one such domain where AI and machine learning (ML) tools are being used in the efficient development, design and discovery of polymer. One key enabling factor for the essential foundations for Polymer Informatics is the machine-readable polymer representation. Polymer have been represented in a string format with special characters used to tag the head and tail positions indicating where the linking bond happens between repeat units. Available tools to assign the head and tail position limits its applicability in a broad sense. In this work we show a new tool to assign the head and tail atoms for a given monomer. From a database of 206 polymer precursors curated from the literature, our algorithm correctly predicted the class of 201 data points, which represents 97.6% of accuracy and regarding the the head and tail assignment, correctly assigned the positions for 188 data points, which translates to 91.3% of accuracy.
DOI: 10.5281/zenodo.16651772
title: MAT, MAP, Z-Elevation

description: Daily air temperature, precipitation, and elevation of the rain-snow transition (Z-elevation) for each of the 60 elevation zones were used as inputs to the data-driven models. These elevation zone-average meteorological inputs, derived from gridded sources using spatial means, were provided by the CNFRC and are the same inputs used for their SNOW-17 and SAC-SMA models.  The temperature data were from the Analysis of Record for Calibration (AORC, Kitzmiller et al. 2018). AORC is a gridded record of near-surface weather conditions covering the continental United States and Alaska, on a 0.008-degree grid mesh and one-hour temporal resolution. The precipitation data was derived from historical mean annual precipitation until WY 2003; after WY2003 precipitation is drawn from operational forcing, which is an internally adjusted dataset derived from National Center for Environmental Information’s Cooperative Observer Network and Natural Resources Conservation Service’s Snow Telemetry gages. The Z-elevation was from ERA5.
DOI: 10.5281/zenodo.16651773
title: MAT, MAP, Z-Elevation

description: Daily air temperature, precipitation, and elevation of the rain-snow transition (Z-elevation) for each of the 60 elevation zones were used as inputs to the data-driven models. These elevation zone-average meteorological inputs, derived from gridded sources using spatial means, were provided by the CNFRC and are the same inputs used for their SNOW-17 and SAC-SMA models.  The temperature data were from the Analysis of Record for Calibration (AORC, Kitzmiller et al. 2018). AORC is a gridded record of near-surface weather conditions covering the continental United States and Alaska, on a 0.008-degree grid mesh and one-hour temporal resolution. The precipitation data was derived from historical mean annual precipitation until WY 2003; after WY2003 precipitation is drawn from operational forcing, which is an internally adjusted dataset derived from National Center for Environmental Information’s Cooperative Observer Network and Natural Resources Conservation Service’s Snow Telemetry gages. The Z-elevation was from ERA5.
DOI: 10.15468/dl.52xt27
title: Occurrence Download

description: A dataset containing 60697 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Conjugatophyceae"
 ]
}

 The dataset includes 60697 records from 371 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011231-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jeerxb
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "StartDayOfYear 1-2",
 "TaxonKey is Ara macao (Linnaeus, 1758)"
 ]
}

 The dataset includes 47 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001178-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64t6am
title: Occurrence Download

description: A dataset containing 808 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ptilium crista-castrensis (Hedw.) De Not.",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 808 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012991-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kqqafw
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Soteira prasina (Alphéraky, 1895), Soteira grandis (Hering, 1931), Soteira ostia (Swinhoe, 1902), Soteira shaanxiensis (Cai, 1983), Soteira prasina (Alphéraky, 1895), Soteira vadimi (Solovyev & Witt, 2009), Soteira shaanxiensis (Cai, 1983), Soteira altilis (Solovyev & Witt, 2009), Soteira grandis (Hering, 1931), Soteira ostia (Swinhoe, 1902), Soteira ostia (Swinhoe, 1902), Soteira altilis (Solovyev & Witt, 2009), Soteira shaanxiensis (Cai, 1983), Soteira vadimi (Solovyev & Witt, 2009))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012992-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gixhzv
title: Occurrence Download

description: A dataset containing 410252073 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 410252073 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006886-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5h8gum
title: Occurrence Download

description: A dataset containing 1206 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lampetra aepyptera (Abbott, 1860)"
 ]
}

 The dataset includes 1206 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0325001-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ystv5z
title: Occurrence Download

description: A dataset containing 334819945 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 334819945 records from 5420 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0325656-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22033/esgf/cmip6.3029
title: BCC BCC-CSM2MR model output prepared for CMIP6 LUMIP ssp126-ssp370Lu

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.LUMIP.BCC.BCC-CSM2-MR.ssp126-ssp370Lu' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The BCC-CSM 2 MR climate model, released in 2017, includes the following components:
 atmos: BCC_AGCM3_MR (T106; 320 x 160 longitude/latitude; 46 levels; top level 1.46 hPa), land: BCC_AVIM2, ocean: MOM4 (1/3 deg 10S-10N, 1/3-1 deg 10-30 N/S, and 1 deg in high latitudes; 360 x 232 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: SIS2. 
The model was run by the Beijing Climate Center, Beijing 100081, China (BCC) in native nominal resolutions: atmos: 100 km, land: 100 km, ocean: 50 km, seaIce: 50 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.