cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17708494
title: OLAMUR - Case Study A -  Turbine Offshore Wind Farm Meerwind Süd/Ost (Germany) -  WP1

description: OLAMUR - Case Study A - Turbine Offshore Wind Farm Meerwind Süd/Ost (Germany) - WP1 Full metadata: https://erddap.s4olamur.eu/erddap/info/olamur_wp1_casea_turbine/index.htmlThis dataset is part of the OLAMUR project outcomes. OLAMUR is funded by the European Union. Grant no. 101094065. Views and opinions expressed are however those of the author only and do not necessarily reflect those of the European Union or the CINEA. Neither the European Union nor CINEA can be held responsible for them.
DOI: 10.15468/dl.rnayat
title: Occurrence Download

description: A dataset containing 279 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Myotis nigricans",
 "Year 2019-2021"
 ]
}

 The dataset includes 279 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009200-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gec3he
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanum ptycanthum",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009201-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ur3jng
title: Occurrence Download

description: A dataset containing 296872 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ectocarpales"
 ]
}

 The dataset includes 296872 records from 711 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009168-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17708618
title: OLAMUR - Case study C - DEB model prediction dataset: bioenergetic modeling of rainbow trout production in Tagalaht Bay - WP3 University of Tartu

description: A rainbow trout farm adjacent to the mussel farm in Tagalaht Bay consists of seven net cages, each 38 m in diameter, housing tens of thousands of fish. Fish are introduced at 0.85 kg wet weight after being raised in a hatchery and are cultivated for six months (May-October). Feed is delivered via boats but cannot be distributed during storms (wave height >2 m), potentially affecting growth rates. Fish are fed with Blue Impact pellets (6 mm for smaller fish, 8 mm for larger fish), with nutrient emissions decreasing as fish grow due to the lower nitrogen (N) and phosphorus (P) content in larger pellets. Most phosphorus settles on the seabed as non-bioavailable hydroxyapatite, reducing its environmental impact. Environmental inputs (salinity, temperature, wave conditions, chlorophyll a) were sourced from the Copernicus Marine Service, with high-resolution data from models like HIROMB-BOOS and BALMFC-ERGOM. Daily averages were used in bioenergetic modeling. Dynamic Energy Budget (DEB) models, parameterized with empirical datasets and calibrated in Matlab, were developed for trout. Trout models were validated against 34 datasets (MRE < 0.2). Detailed procedures and validation results are provided in Kotta et al. 2023 (DOI: 10.1111/1365-2664.14422). Full metadata: https://erddap.s4olamur.eu/erddap/info/olamur_wp3_casec_trout-ut/index.htmlThis dataset is part of the OLAMUR project outcomes. OLAMUR is funded by the European Union. Grant no. 101094065. Views and opinions expressed are however those of the author only and do not necessarily reflect those of the European Union or the CINEA. Neither the European Union nor CINEA can be held responsible for them.
DOI: 10.5281/zenodo.17708617
title: OLAMUR - Case study C - DEB model prediction dataset: bioenergetic modeling of rainbow trout production in Tagalaht Bay - WP3 University of Tartu

description: A rainbow trout farm adjacent to the mussel farm in Tagalaht Bay consists of seven net cages, each 38 m in diameter, housing tens of thousands of fish. Fish are introduced at 0.85 kg wet weight after being raised in a hatchery and are cultivated for six months (May-October). Feed is delivered via boats but cannot be distributed during storms (wave height >2 m), potentially affecting growth rates. Fish are fed with Blue Impact pellets (6 mm for smaller fish, 8 mm for larger fish), with nutrient emissions decreasing as fish grow due to the lower nitrogen (N) and phosphorus (P) content in larger pellets. Most phosphorus settles on the seabed as non-bioavailable hydroxyapatite, reducing its environmental impact. Environmental inputs (salinity, temperature, wave conditions, chlorophyll a) were sourced from the Copernicus Marine Service, with high-resolution data from models like HIROMB-BOOS and BALMFC-ERGOM. Daily averages were used in bioenergetic modeling. Dynamic Energy Budget (DEB) models, parameterized with empirical datasets and calibrated in Matlab, were developed for trout. Trout models were validated against 34 datasets (MRE < 0.2). Detailed procedures and validation results are provided in Kotta et al. 2023 (DOI: 10.1111/1365-2664.14422). Full metadata: https://erddap.s4olamur.eu/erddap/info/olamur_wp3_casec_trout-ut/index.htmlThis dataset is part of the OLAMUR project outcomes. OLAMUR is funded by the European Union. Grant no. 101094065. Views and opinions expressed are however those of the author only and do not necessarily reflect those of the European Union or the CINEA. Neither the European Union nor CINEA can be held responsible for them.
DOI: 10.5281/zenodo.17709129
title: OLAMUR - Case study B - Conductivity, Temperature, Depth (CTD) data collected during the Offshore Low-trophic Aquaculture in Multi-Use Scenario Realisation (OLAMUR) project 2023 - WP4 VOTO

description: Case study B - Conductivity, Temperature, Depth (CTD) data collected during the Offshore Low-trophic Aquaculture in Multi-Use Scenario Realisation (OLAMUR) project 2023 - WP4 VOTO Full metadata: https://erddap.s4olamur.eu/erddap/info/olamur_wp4_caseb_ctd-voto/index.htmlThis dataset is part of the OLAMUR project outcomes. OLAMUR is funded by the European Union. Grant no. 101094065. Views and opinions expressed are however those of the author only and do not necessarily reflect those of the European Union or the CINEA. Neither the European Union nor CINEA can be held responsible for them.
DOI: 10.5281/zenodo.17709130
title: OLAMUR - Case study B - Conductivity, Temperature, Depth (CTD) data collected during the Offshore Low-trophic Aquaculture in Multi-Use Scenario Realisation (OLAMUR) project 2023 - WP4 VOTO

description: Case study B - Conductivity, Temperature, Depth (CTD) data collected during the Offshore Low-trophic Aquaculture in Multi-Use Scenario Realisation (OLAMUR) project 2023 - WP4 VOTO Full metadata: https://erddap.s4olamur.eu/erddap/info/olamur_wp4_caseb_ctd-voto/index.htmlThis dataset is part of the OLAMUR project outcomes. OLAMUR is funded by the European Union. Grant no. 101094065. Views and opinions expressed are however those of the author only and do not necessarily reflect those of the European Union or the CINEA. Neither the European Union nor CINEA can be held responsible for them.
DOI: 10.5281/zenodo.17709132
title: OLAMUR - Case study B - AUV data collected during the Offshore Low-trophic Aquaculture in Multi-Use Scenario Realisation (OLAMUR) project 2023 - WP4 VOTO

description: Case study B - AUV data collected during the Offshore Low-trophic Aquaculture in Multi-Use Scenario Realisation (OLAMUR) project 2023 - WP4 VOTO Full metadata: https://erddap.s4olamur.eu/erddap/info/olamur_wp4_caseb_yuco-voto/index.htmlThis dataset is part of the OLAMUR project outcomes. OLAMUR is funded by the European Union. Grant no. 101094065. Views and opinions expressed are however those of the author only and do not necessarily reflect those of the European Union or the CINEA. Neither the European Union nor CINEA can be held responsible for them.
DOI: 10.5281/zenodo.17709131
title: OLAMUR - Case study B - AUV data collected during the Offshore Low-trophic Aquaculture in Multi-Use Scenario Realisation (OLAMUR) project 2023 - WP4 VOTO

description: Case study B - AUV data collected during the Offshore Low-trophic Aquaculture in Multi-Use Scenario Realisation (OLAMUR) project 2023 - WP4 VOTO Full metadata: https://erddap.s4olamur.eu/erddap/info/olamur_wp4_caseb_yuco-voto/index.htmlThis dataset is part of the OLAMUR project outcomes. OLAMUR is funded by the European Union. Grant no. 101094065. Views and opinions expressed are however those of the author only and do not necessarily reflect those of the European Union or the CINEA. Neither the European Union nor CINEA can be held responsible for them.
DOI: 10.15468/dl.9t4gzx
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Notopterygium incisum"
 ]
}

 The dataset includes 277 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009202-251120083545085/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/13875216
title: SG-5: A Structural Geometry Framework (No Code)
DOI: 10.15468/dl.jm8tg8
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Notopterygium franchetii"
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009205-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qufu5a
title: Occurrence Download

description: A dataset containing 8638 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solanum rostratum",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 8638 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009206-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17720236
title: Stockbit Review Data

description: Stockbit Review Data
DOI: 10.5281/zenodo.17720237
title: Stockbit Review Data

description: Stockbit Review Data
DOI: 10.15468/dl.ppnvez
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Angelica pubescens biserrata"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009208-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.54scbk
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cistanche deserticola"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009209-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17720134
title: Doppler Frequency Shifts Associated with the 29 July 2025 M8.8 Kamchatka Earthquake in Southwest China

description: All data are provided in MATLAB format.

seismNo1_0729_0731_LESH_BJT.mat contains seismic data recorded in local time (UTC+8).

You can find the date and the three-component seismic data described within the MATLAB cell structure.

The remaining three files contain HF Doppler data collected in China. The date information is included in the filenames.

The sampling interval for all HF Doppler data is 3 seconds.

Channel/station mapping:





s1max: JIYA_EBIA




s2max: LUQU_ZHYA




s3max: YILI_EBIA




s4max: SHLA_EBIA




s5max: SHLA_ZHYA




s6max: ANZH_ZHYA
DOI: 10.15468/dl.a6v4e5
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhabdophis adleri)",
 "Country is one of (China, India, Indonesia, Pakistan, Bangladesh, Japan, Philippines, Viet Nam, Türkiye, Iran (Islamic Republic of), Thailand, Myanmar, Korea, Republic of, Korea (Democratic People’s Republic of), Iraq, Afghanistan, Saudi Arabia, Uzbekistan, Malaysia, Yemen, Nepal, Sri Lanka, Kazakhstan, Syrian Arab Republic, Cambodia, Jordan, Azerbaijan, United Arab Emirates, Tajikistan, Israel, Lao People’s Democratic Republic, Lebanon, Kyrgyzstan, Turkmenistan, Singapore, Oman, Palestine, State of, Kuwait, Georgia, Mongolia, Armenia, Qatar, Bahrain, Timor-Leste, Cyprus, Bhutan, Maldives, Brunei Darussalam)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009211-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xeavbq
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cynomorium songaricum"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009213-251120083545085/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.30719198
title: Datasets for bibliometric analysis of regulatory T cells in gastric cancer (2005-2025)

description: <b>Description:</b><br>This dataset supports the findings of the bibliometric review article titled "Global Research Landscape of Regulatory T Cells in Gastric Cancer: A Comprehensive Bibliometric Analysis (2005-2025)". It contains the processed and cleaned data used to generate all analyses, figures, and tables in the manuscript.<b>Data Source:</b><br>The raw data was retrieved from the Web of Science Core Collection (WoSCC) on October 15, 2025.<b>Dataset Contents:</b><code><strong>Cleaned_Bibliometric_Data.txt</strong></code>: The primary dataset containing the full collection of 464 publications after deduplication and cleaning. Key fields include: Title, Authors, Journal, Publication Year, Abstract, Author Keywords, WoS Categories, Citation Count, and Reference List.<code><strong>Top_10_Percent_Cited_Articles.txt</strong></code>: A subset of the 50 most-cited publications (approximately the top 10%) used for the high-impact publication analysis. Includes all fields from the primary dataset plus additional categorization.<b>Methodology:</b><br>Data cleaning and standardization were performed using R and Bibliometrix. The datasets provided here are the final, analysis-ready versions used as input for VOSviewer, CiteSpace, and Bibliometrix to create the co-authorship networks, keyword co-occurrence maps, and citation analyses presented in the manuscript.<b>Usage Notes:</b><br>These datasets can be used to replicate the study's findings, serve as a baseline for future bibliometric studies in immuno-oncology, or be integrated with other data sources for expanded analyses.
DOI: 10.6084/m9.figshare.30719198.v1
title: Datasets for bibliometric analysis of regulatory T cells in gastric cancer (2005-2025)

description: <b>Description:</b><br>This dataset supports the findings of the bibliometric review article titled "Global Research Landscape of Regulatory T Cells in Gastric Cancer: A Comprehensive Bibliometric Analysis (2005-2025)". It contains the processed and cleaned data used to generate all analyses, figures, and tables in the manuscript.<b>Data Source:</b><br>The raw data was retrieved from the Web of Science Core Collection (WoSCC) on October 15, 2025.<b>Dataset Contents:</b><code><strong>Cleaned_Bibliometric_Data.txt</strong></code>: The primary dataset containing the full collection of 464 publications after deduplication and cleaning. Key fields include: Title, Authors, Journal, Publication Year, Abstract, Author Keywords, WoS Categories, Citation Count, and Reference List.<code><strong>Top_10_Percent_Cited_Articles.txt</strong></code>: A subset of the 50 most-cited publications (approximately the top 10%) used for the high-impact publication analysis. Includes all fields from the primary dataset plus additional categorization.<b>Methodology:</b><br>Data cleaning and standardization were performed using R and Bibliometrix. The datasets provided here are the final, analysis-ready versions used as input for VOSviewer, CiteSpace, and Bibliometrix to create the co-authorship networks, keyword co-occurrence maps, and citation analyses presented in the manuscript.<b>Usage Notes:</b><br>These datasets can be used to replicate the study's findings, serve as a baseline for future bibliometric studies in immuno-oncology, or be integrated with other data sources for expanded analyses.
DOI: 10.15468/dl.qbtvfn
title: Occurrence Download

description: A dataset containing 5200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 69.085278",
 "DecimalLatitude is less than or equal to 74.085278",
 "DecimalLongitude is greater than or equal to -180.0",
 "DecimalLongitude is less than or equal to -175.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 5200 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009217-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6f4sb5
title: Occurrence Download

description: A dataset containing 725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 49.085278",
 "DecimalLatitude is less than or equal to 54.085278",
 "DecimalLongitude is greater than or equal to -175.0",
 "DecimalLongitude is less than or equal to -170.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 725 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009219-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5srrjv
title: Occurrence Download

description: A dataset containing 2860 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Chinese Taipei, China, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Blechnopsis orientalis"
 ]
}

 The dataset includes 2860 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009221-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ksbd8y
title: Occurrence Download

description: A dataset containing 694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Gentiana macrophylla"
 ]
}

 The dataset includes 694 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009220-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjv2vr
title: Occurrence Download

description: A dataset containing 10874 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to -15.914722",
 "DecimalLatitude is less than or equal to -10.914722",
 "DecimalLongitude is greater than or equal to -175.0",
 "DecimalLongitude is less than or equal to -170.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 10874 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009218-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4kx8xd
title: Occurrence Download

description: A dataset containing 1961175 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Testudines"
 ]
}

 The dataset includes 1961175 records from 3068 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009191-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25976/f5y3-8040
title: CIMP 251: Water quality data from Trout Lake and tributaries, Sambaa Ke, Northwest Territories, 2024-2026

description: A study funded by NWT CIMP (Project 251) was undertaken to assist Sambaa K’e First Nation in understanding current and future risk of potentially harmful cyanobacteria blooms in Sambaa K’e (Northwest Territories).  Regular sampling of water chemistry in Sambaa K’e and its connecting waters is being undertaken to gain a better understanding of nutrient sources and climate change impacts to the watershed.
description: To assess chemical parameters, with an emphasis on nutrients, water samples were collected as surface grab samples from 3 nearshore locations in Sambaa K’e (a.k.a. Trout Lake) and 6 Sambaa K’e tributaries. Depth-integrated samples were also collected throughout the water column from four sites in Sambaa K’e.
DOI: 10.7266/v88019gv
title: Water quality data from three depths in Mississippi Sound from 2020-11-12 to 2021-07-29