cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xcbrkv
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/0012164-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gswwj3
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/0075309-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgsjdz
title: Occurrence Download

description: A dataset containing 658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Monomorium exiguum Forel, 1894)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 658 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072316-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/8685734
title: Balochi Language to English Translation Dataset
DOI: 10.6084/m9.figshare.26035159
title: Supplementary Data15.Ad77271a.vs.Ad77271b_Haplotypes_ 3.9SNPs.syri.vcf

description: Dataset associated with manuscript NCOMMS-24-22396
DOI: 10.15468/dl.awbv9z
title: Occurrence Download

description: A dataset containing 1580701229 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 1580701229 records from 31279 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032027-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.85ku7s
title: Occurrence Download

description: A dataset containing 530816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Populus tremula",
 "Year 1956-2022"
 ]
}

 The dataset includes 530816 records from 2234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028089-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9b9hr
title: Occurrence Download

description: A dataset containing 224987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Passiflora L."
 ]
}

 The dataset includes 224987 records from 1139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010026-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/5516
title: GraphRAG-Bench
DOI: 10.3535/my9-res-9tj
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6y7-hz5-qvd
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mf9-dy6-qp9
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.25549/usctheses-ouc11399liju
title: Proximate Bodies: The Animal Commodity in the Transatlantic Nineteenth Century
DOI: 10.3535/9qr-rbv-qjb
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c64-q1z-rv3
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8yp-d5w-665
title: †Curvirimula belgica (Hind, 1912)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j3f-yk9-697
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ef0-19g-2t7
title: †Anthracosia regularis (Trueman, 1929)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wwa-gjf-nb1
title: †Anthracosia nitida (J. H. Davies & Trueman, 1927)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g38-ce9-1qb
title: Voacanga Thouars

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.22nqw6
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Erythronium tuolumnense"
 ]
}

 The dataset includes 37 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022227-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/dxw-8x5-3r5
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s03-kya-7qn
title: Diplazium Sw.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c4t-6q2-dl4
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jh2-67p-gjy
title: Maianthemum F.H.Wigg.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vzp-0ye-3t3
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w30-5qp-rt3
title: Zelkova Spach

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h6s-32l-vbr
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hn5-rme-avg
title: †Naiadites productus (T. Brown, 1849)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6tv-a5w-ejz
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8k8-w2p-bdx
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yzd-428-r6f
title: Liquidambar L.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1hh-r2k-x17
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bwj-b6b-nzq
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.25549/usctheses-ouc11399lijs
title: Theory, Modeling and Computation of the Effective Deformations of Parallelogram Origami Metamaterials
DOI: 10.3535/rsc-r98-h0e
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e4r-8kx-chw
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rgy-hys-3g9
title: Lepidophyllum Cass.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2kq-7xg-z9k
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t5b-pq7-25h
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/55k-t8z-q90
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xqa-a53-vvf
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gjt-0w9-jl6
title: Clematicissus striata subsp. striata

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9tg-qz7-0mm
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tlw-wm1-ln2
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1cg-qqx-bvf
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4tv-t8p-wah
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/08d-h4c-lnf
title: Orthiopteris Copel.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s06-grc-szk
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.25549/usctheses-ouc11399lijn
title: Learning Social Representations for Causal Understanding of Heterogeneous and Dynamic Online Behavior
DOI: 10.3535/lmc-82n-t9q
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lrx-gss-mpp
title: Magnoliopsida

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vcv-a7r-l2d
title: Voacanga Thouars

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c21-mrm-avg
title: Fraxinus Tourn. ex L.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x46-606-5p6
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.15237257
title: Dataset for the research: Impact of Wettability on Brine Drying and Salt Precipitation in Fractured Rock

description: This dataset supports the research titled 'Impact of Wettability on Brine Drying and Salt Precipitation in Fractured Rock'. It includes test videos and images showing the final salt distribution within fractured microfluidic models.
DOI: 10.5281/zenodo.15237258
title: Dataset for the research: Impact of Wettability on Brine Drying and Salt Precipitation in Fractured Rock

description: This dataset supports the research titled 'Impact of Wettability on Brine Drying and Salt Precipitation in Fractured Rock'. It includes test videos and images showing the final salt distribution within fractured microfluidic models.
DOI: 10.15468/dl.52x4pe
title: Occurrence Download

description: A dataset containing 166640 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyrgus malvae (Linnaeus, 1758)"
 ]
}

 The dataset includes 166640 records from 849 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009360-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15260102
title: Data of Brand Image and Trust as Drivers of Brand Loyalty of PT TAM

description: In an era of globalization and digitalization, the automotive industry faces fierce competition that demands focus on brand image and trust to secure customer loy- alty. This study introduces a novel framework integrating Social Exchange Theory with empirical evidence from Indonesia’s automotive sector. Unlike previous studies that fo- cus on individual relationships, this research provides comprehensive insights into the sequential impact of brand image on trust and, subsequently, on loyalty, offering mana- gerial implications for sustaining competitive advantage in a rapidly evolving market. Data were collected from 126 respondents via an online survey and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Findings reveal that brand trust significantly boosts loyalty (β = 0.694, p = 0.000), while brand image influences loyalty directly (β = 0.276, p = 0.000) and indirectly by enhancing trust (β = 0.686, p = 0.000). The results suggest that although a positive brand image attracts consumers, cultivating trust is essential for long-term loyalty. Managerial implications urge Indonesian car man- ufacturers to improve product quality, transparency, after-sales services, CSR, and digital engagement. Limitations include a cross-sectional design and a geographically limited sample, suggesting future research should employ longitudinal and qualitative methods.
DOI: 10.5281/zenodo.15260103
title: Data of Brand Image and Trust as Drivers of Brand Loyalty of PT TAM

description: In an era of globalization and digitalization, the automotive industry faces fierce competition that demands focus on brand image and trust to secure customer loy- alty. This study introduces a novel framework integrating Social Exchange Theory with empirical evidence from Indonesia’s automotive sector. Unlike previous studies that fo- cus on individual relationships, this research provides comprehensive insights into the sequential impact of brand image on trust and, subsequently, on loyalty, offering mana- gerial implications for sustaining competitive advantage in a rapidly evolving market. Data were collected from 126 respondents via an online survey and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Findings reveal that brand trust significantly boosts loyalty (β = 0.694, p = 0.000), while brand image influences loyalty directly (β = 0.276, p = 0.000) and indirectly by enhancing trust (β = 0.686, p = 0.000). The results suggest that although a positive brand image attracts consumers, cultivating trust is essential for long-term loyalty. Managerial implications urge Indonesian car man- ufacturers to improve product quality, transparency, after-sales services, CSR, and digital engagement. Limitations include a cross-sectional design and a geographically limited sample, suggesting future research should employ longitudinal and qualitative methods.
DOI: 10.17909/h9k1-dc06
title: COSMOS-Web
DOI: 10.48612/msupe/kzrd-pufv-x91r
title: Тестирование детей с РАС с помощью методики "Кораблик"
DOI: 10.6084/m9.figshare.28839041
title: Electric field data of four-wave mixing

description: OSIRIS output data on $E_z$ at $\omega t$ = 100, used to create Fig.4. The 3D array is under the key of e3_part_111 (part_111 means interpolated to cell centre).x, y, and z axes correspond to the third, second and first axes of the array. The values are expressed in standard PIC simulation units of E, normalised according to reference laser wavelength of 1 micron.
DOI: 10.15468/dl.n2barf
title: Occurrence Download

description: A dataset listing the 5643 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is COD.15_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 5643 records were derived from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009371-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vx6qc
title: Occurrence Download

description: A dataset containing 70209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((4.788900777540278 52.353849297258826, 4.788502278508079 52.35647934894357, 4.787273338024734 52.35901124954485, 4.785261062249134 52.361347676144895, 4.782542699967055 52.363398805829064, 4.779222686444145 52.36508577291141, 4.775428634603401 52.366343706082745, 4.771306426882623 52.367124227792594, 4.7670145970020945 52.367397318838066, 4.762718219383373 52.36715247567061, 4.758582543823471 52.36639911538416, 4.754766623336631 52.36516621261666, 4.751417183352686 52.3635011825021, 4.748662970693711 52.361468053144804, 4.746609801390429 52.35914499866857, 4.7453364983322315 52.35662132861754, 4.744891874234269 52.35399405038074, 4.745292874017451 52.35136413757611, 4.74652394520863 52.34883264835632, 4.748537657267997 52.34649684301001, 4.751256542748555 52.34444644987158, 4.754576086732353 52.3427602224946, 4.758368747779369 52.3415029195748, 4.762488855187507 52.34072282271255, 4.766778194990076 52.34044988643154, 4.771072071857405 52.34069459071887, 4.775205616709297 52.34144753962381, 4.779020100912529 52.342679821137516, 4.782369017698394 52.34434411470631, 4.785123699896894 52.34637650435827, 4.78717825999408 52.348698928583005, 4.788453663364757 52.35122217378649, 4.788900777540278 52.353849297258826))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 70209 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009352-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.5097437
title: Global River Water Quality Archive (GRQA)

description: A major problem related to large-scale water quality modeling has been the lack of available observation data with a good spatiotemporal coverage. This has affected the reproducibility of previous studies and the potential improvement of existing models. In addition to the observation data itself, insufficient or poor quality metadata has also discouraged researchers to integrate the already available datasets. Therefore, improving both the availability and quality of open water quality data woould increase the potential to implement predictive modeling on a global scale. We aim to address the aforementioned issues by presenting the new Global River Water Quality Archive (GRQA) by integrating data from five existing global and regional sources: Canadian Environmental Sustainability Indicators program (CESI), Global Freshwater Quality Database (GEMStat), GLObal RIver Chemistry database (GLORICH), European Environment Agency (Waterbase) and USGS Water Quality Portal (WQP). The resulting dataset covering the timeframe 1898 - 2020 contains a total of over 17 million observations for 42 different forms of some of the most important water quality parameters, focusing on nutrients, carbon, oxygen and sediments. Supplementary metadata and statistics are provided with the observation time series to improve the usability of the dataset. An overview of all the files in the dataset can be found in README.txt. Statistical overview of all 42 parameters is given in the data catalog file GRQA_data_catalog.pdf. For more information about the development of this dataset look for Virro, H., Amatulli, G., Kmoch, A., Shen, L., and Uuemaa, E.: GRQA: Global River Water Quality Archive, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2021-51, in review, 2021.
DOI: 10.5281/zenodo.5101057
title: Global River Water Quality Archive (GRQA)

description: A major problem related to large-scale water quality modeling has been the lack of available observation data with a good spatiotemporal coverage. This has affected the reproducibility of previous studies and the potential improvement of existing models. In addition to the observation data itself, insufficient or poor quality metadata has also discouraged researchers to integrate the already available datasets. Therefore, improving both the availability and quality of open water quality data woould increase the potential to implement predictive modeling on a global scale. We aim to address the aforementioned issues by presenting the new Global River Water Quality Archive (GRQA) by integrating data from five existing global and regional sources: Canadian Environmental Sustainability Indicators program (CESI), Global Freshwater Quality Database (GEMStat), GLObal RIver Chemistry database (GLORICH), European Environment Agency (Waterbase) and USGS Water Quality Portal (WQP). The resulting dataset covering the timeframe 1898 - 2020 contains a total of over 17 million observations for 42 different forms of some of the most important water quality parameters, focusing on nutrients, carbon, oxygen and sediments. Supplementary metadata and statistics are provided with the observation time series to improve the usability of the dataset. An overview of all the files in the dataset can be found in README.txt. Statistical overview of all 42 parameters is given in the data catalog file GRQA_data_catalog.pdf. For more information about the development of this dataset look for Virro, H., Amatulli, G., Kmoch, A., Shen, L., and Uuemaa, E.: GRQA: Global River Water Quality Archive, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2021-51, in review, 2021.
DOI: 10.5281/zenodo.6347038
title: Global River Water Quality Archive (GRQA)

description: A major problem related to large-scale water quality modeling has been the lack of available observation data with a good spatiotemporal coverage. This has affected the reproducibility of previous studies and the potential improvement of existing models. In addition to the observation data itself, insufficient or poor quality metadata has also discouraged researchers to integrate the already available datasets. Therefore, improving both the availability and quality of open water quality data woould increase the potential to implement predictive modeling on a global scale. We aim to address the aforementioned issues by presenting the new Global River Water Quality Archive (GRQA) by integrating data from five existing global and regional sources: Canadian Environmental Sustainability Indicators program (CESI), Global Freshwater Quality Database (GEMStat), GLObal RIver Chemistry database (GLORICH), European Environment Agency (Waterbase) and USGS Water Quality Portal (WQP). The resulting dataset covering the timeframe 1898 - 2020 contains a total of over 17 million observations for 42 different forms of some of the most important water quality parameters, focusing on nutrients, carbon, oxygen and sediments. Supplementary metadata and statistics are provided with the observation time series to improve the usability of the dataset. <strong>Last update: 2022-03-11</strong> <strong>GRQA_v1.2</strong> contains three updated files compared to GRQA_v1.1: NH4N_GRQA.csv NO2N_GRQA.csv NO3N_GRQA.csv The files were updated, because the assumed conversion constants used for the corresponding GLORICH observations were found to be incorrect. The corresponding files in GRQA_figures.zip and GRQA_meta.zip are yet to be updated, but will be in GRQA_v1.3. The explanation for the updated conversion constants is given in this notebook:<br> https://nbviewer.org/github/LandscapeGeoinformatics/GRQA_src/blob/main/testing/glorich_conversion_test.ipynb An overview of all the files in the dataset can be found in README_v1.2.txt. Statistical overview of all 42 parameters is given in the data catalog file GRQA_data_catalog.pdf. For more information about the development of this dataset look for Virro, H., Amatulli, G., Kmoch, A., Shen, L., and Uuemaa, E.: GRQA: Global River Water Quality Archive, Earth Syst. Sci. Data, 13, 5483–5507, https://doi.org/10.5194/essd-13-5483-2021, 2021.