cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ect34d
title: Occurrence Download

description: A dataset containing 717 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leptophis diplotropis (Günther, 1872))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 717 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034492-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvy85n
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pentidotea australis Hale, 1924"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0128772-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8w9jbp
title: Occurrence Download

description: A dataset containing 10581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Silene noctiflora L."
 ]
}

 The dataset includes 10581 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034462-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rtnape
title: Occurrence Download

description: A dataset containing 532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Spain",
 "TaxonKey is Chioglossa lusitanica Bocage, 1864"
 ]
}

 The dataset includes 532 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0109687-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5w78gz
title: Occurrence Download

description: A dataset containing 15235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Morethia boulengeri (Ogilby, 1890))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15235 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034511-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ajt63a
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tetrao urogallus cantabricus Castroviejo, 1967"
 ]
}

 The dataset includes 19 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0109655-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jpcmga
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Atractus vittatus Boulenger, 1894, Acrantus vittatus (F.))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034470-230224095556074/datasets/export for details.
DOI: 10.15468/dl.8t9b93
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eusirus propeperdentatus Andres, 1979"
 ]
}

 The dataset includes 69 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0119336-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zsug2r
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Elapsoidea nigra Günther, 1888, Elapsoidea nigra Günther, 1888)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 50 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034497-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g5825w
title: Occurrence Download

description: A dataset containing 28944 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Gallinula chloropus (Linnaeus, 1758)"
 ]
}

 The dataset includes 28944 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008319-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g2hxbr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Atheris matildae Menegon, Davenport & Howell, 2011)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034471-230224095556074/datasets/export for details.
DOI: 10.15468/dl.3yuvhq
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-74.0579685999999953 40.8638272999999970, -74.0579685999999953 40.8657738300000020, -74.0579685999999953 40.8669007700000009, -74.0579685999999953 40.8685399499999988, -74.0579685999999953 40.8702815899999976, -74.0579685999999953 40.8728428100000016, -74.0579685999999953 40.8740722000000005, -74.0547887099999969 40.8740722000000005, -74.0525319099999990 40.8740722000000005, -74.0498647900000009 40.8740722000000005, -74.0478131600000040 40.8740722000000005, -74.0462744400000048 40.8740722000000005, -74.0440176500000007 40.8740722000000005, -74.0427868000000018 40.8740722000000005, -74.0427868000000018 40.8718183200000027, -74.0427868000000018 40.8698717899999977, -74.0427868000000018 40.8673105700000008, -74.0427868000000018 40.8651591400000029, -74.0427868000000018 40.8638272999999970, -74.0453512100000069 40.8638272999999970, -74.0482234899999980 40.8638272999999970, -74.0500699600000019 40.8638272999999970, -74.0514035199999938 40.8638272999999970, -74.0534551500000049 40.8638272999999970, -74.0548912900000005 40.8638272999999970, -74.0579685999999953 40.8638272999999970))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 55 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080845-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3zvf2x
title: Occurrence Download

description: A dataset containing 48734917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "GadmGid is USA.5_1",
 "Year 2000-2018"
 ]
}

 The dataset includes 48734917 records from 768 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008302-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13120/5380d422-cdcf-4343-8ee4-154cb34da1e3
title: Baltic Sea - Seafloor litter aggregated datasets 2011/2024 v2025
title: Baltic_sea_seafloor_litter_aggregated_datasets_ 2011/2024_v2025

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and litter. The chosen parameters are relevant for the Marine Strategy Framework Directive (MSFD), in particular for descriptors 5, 8, 9 and 10. The datasets contain standardized, harmonized and validated data collections from seafloor litter. 
Datasets concerning seafloor litter data are loaded in a central database after a semi-automated validation phase. Once loaded, a data assessment is performed in order to check data consistency and potential errors are corrected thanks to a feedback loop with data originators.
EMODnet seafloor litter data and database are hosted and maintained by ‘Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)’ from Italy.
For seafloor litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on seafloor litter data.
Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: https://dx.doi.org/10.6092/15c0d34c-a01a-4091-91ac-7c4f561ab508
The updated vocabularies of admitted values are available at:
https://vocab.seadatanet.org/search
https://vocab.ices.dk/
The harmonized datasets can be downloaded as EMODnet Sea-floor litter data format version 1.0, which is a csv file, tab separated values.
DOI: 10.13120/3994c5df-a846-42da-be67-5c1f1c06f518
title: European floating micro-litter standardized, harmonized and validated datasets 2011/2023 v2025
title: European_floating_micro-litter_standardized_harmonized_and_validated_datasets_2011/2023_v2025

description: EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity, contaminants and marine litter. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on floating micro-litter.

This dataset is the result of a validation and harmonisation process of the datasets concerning floating micro-litter present in EMODnet Chemistry. The datasets concerning micro-litter are automatically harvested and the resulting collections are harmonised and validated using ODV Software and following a common methodology for all sea regions. Parameter names are based on P01 vocabulary, which relates to BODC Parameter Usage Vocabulary and is available at: https://vocab.nerc.ac.uk/search_nvs/P01/
This process was performed by ‘Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)’ from Italy.

Harmonisation means that: (1) unit conversion is carried out to express variables with a limited set of measurement units and (2) merging of variables described by different “local names”, but corresponding exactly to the same concepts in BODC P01 vocabulary.
The harmonised dataset can be downloaded as ODV collection that can be opened with ODV software for visualization (More information can be found at: https://www.seadatanet.org/Software/ODV ). The same dataset is offered as spreadsheet (txt format, tab separated values) where the values of the categories for the following reported parameters (type, shape, size, color, transparency and material) have been uniformed as labelled in the SeaDataNet H01, H02, H03, H04, H05, H06 vocabularies (https://vocab.seadatanet.org/search ). This format is more adapted to worksheet applications (e.g. LibreOffice Calc).
DOI: 10.15468/dl.qxgbje
title: Occurrence Download

description: A dataset containing 3623240227 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 3623240227 records from 76947 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039020-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17251229
title: Climatic data along gradients from Western Himalaya

description: This dataset includes temperature (Soil, surface and air) and soil moisture along natural gradients in the Himalaya.

Data was recorded using TMS dataloggers and is also under recording since August 2021. Dataset is also part of Soiltemp or Microclimate Database. https://meb-network.com/the-microclimate-database/
DOI: 10.5281/zenodo.17251228
title: Climatic data along gradients from Western Himalaya

description: This dataset includes temperature (Soil, surface and air) and soil moisture along natural gradients in the Himalaya.

Data was recorded using TMS dataloggers and is also under recording since August 2021. Dataset is also part of Soiltemp or Microclimate Database. https://meb-network.com/the-microclimate-database/
DOI: 10.60609/pezw-n435
title: Plastic Treaty Negotiation Datasets

description: This dataset contains ethnographic observations from the first five Intergovernmental Negotiating Committee (INC) meetings (INC-1 to INC-5.1) for a global agreement to end plastic pollution. The data were collected using the collaborative event ethnography method, which involves systematic and structured observation of formal negotiations, working groups, and side events. Fieldnotes were recorded in near-verbatim style using a consistent template to capture key contextual features such as speaker affiliation, agenda item, and the content and tone of interventions. The data provide insight into the positions and interactions of state and non-state actors across multiple negotiation rounds. 

Access Note: If you would like to request access to the dataset while it is under embargo, please contact Dr. Emily Cowan at emily.cowan@sintef.no.
DOI: 10.13120/59a8b0c1-3334-487a-9211-c7b8973288b6
title: Black Sea - Seafloor litter aggregated datasets 2011/2014 v2025
title: Black_sea_seafloor_litter_aggregated_datasets_ 2011/2014_v2025

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and litter. The chosen parameters are relevant for the Marine Strategy Framework Directive (MSFD), in particular for descriptors 5, 8, 9 and 10. The datasets contain standardized, harmonized and validated data collections from seafloor litter. 
Datasets concerning seafloor litter data are loaded in a central database after a semi-automated validation phase. Once loaded, a data assessment is performed in order to check data consistency and potential errors are corrected thanks to a feedback loop with data originators.
EMODnet seafloor litter data and database are hosted and maintained by ‘Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)’ from Italy.
For seafloor litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on seafloor litter data.
Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: https://dx.doi.org/10.6092/15c0d34c-a01a-4091-91ac-7c4f561ab508
The updated vocabularies of admitted values are available at:
https://vocab.seadatanet.org/search
https://vocab.ices.dk/ .
The harmonized datasets can be downloaded as EMODnet Sea-floor litter data format version 1.0, which is a csv file, tab separated values.
DOI: 10.15468/dl.nq8puv
title: Occurrence Download

description: A dataset containing 98753 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amphibalanus amphitrite, Amphibalanus eburneus, Aurelia solida, Boccardia proboscidea, Bonnemaisonia hamifera, Botrylloides violaceus, Bugula neritina, Caprella mutica, Caprella scaura, Celleporaria brunnea, Cephalothrix simula, Cordylophora caspia, Corella eumyota, , Crepidula fornicata, Cutleria multifida, Dasysiphonia japonica, , Eucheilota menoni, Fenestrulina delicia, Fibrocapsa japonica, Ficopomatus enigmaticus, Gonionemus vertens, Haloa japonica, Halothrix lumbricalis, Hemigrapsus takanoi, Herdmania momus)",
 "Continent is Europe",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 98753 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039974-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44myw6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Indothais lacera",
 "Country is Türkiye",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040016-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3df9a
title: Occurrence Download

description: A dataset containing 873 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Armadillidium album"
 ]
}

 The dataset includes 873 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040012-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13120/033a2c18-1cc8-4a92-837d-5ea57c0f7c12
title: Mediterranean Sea - Beach litter aggregated datasets 2004/2024 v2025
title: Mediterranean_sea_beach_litter_aggregated_datasets_ 2004/2024_v2025

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and litter. The chosen parameters are relevant for the Marine Strategy Framework Directive (MSFD), in particular for descriptors 5, 8, 9 and 10. The dataset contains standardized, harmonized and validated data collections from beach litter (monitoring and other sources). 
Datasets concerning beach and seafloor litter data are loaded in a central database after a semi-automated validation phase. Once loaded, a data assessment is performed in order to check data consistency and potential errors are corrected thanks to a feedback loop with data originators.
For beach litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on beach litter, including monitoring data, data from cleaning surveys and data from research. A relevant part of the monitoring data has been considered for assessment purposes by the European institutions and therefore is tagged as MSFD_monitoring. EMODnet beach litter data and databases are hosted and maintained by 'Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)' from Italy.
Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: https://doi.org/10.6092/15c0d34c-a01a-4091-91ac-7c4f561ab508
The updated vocabularies of admitted values are available at:
https://nodc.ogs.it/marinelitter/vocab
The harmonized datasets can be downloaded as EMODnet Beach litter data format Version 7.0, which is a spreadsheet file composed of 4 sheets: beach metadata, survey metadata, animals and litter. Local_CDI field in the survey metadata sheet allows to retrieve the original data.
DOI: 10.60609/8h12-1j02
title: Veas denitrification pilot column B, September 16 2023 to March 1 2024

description: This dataset contains detailed parameters collected during a pilot campaign on denitrification at the Veas Wastewater Treatment Plant (WWTP) in Slemmestad, Norway. The data spans the period from September 16 2023 to March 1 2024, with a consistent sampling interval of 10 minutes. The original data was sourced from various sensors at the Veas WWTP, with different initial sampling rates, and has been downsampled to ensure uniformity.
DOI: 10.5281/zenodo.17244729
title: Understanding the Catalytic Site Structure in Nickel Poly(Heptazine Imide) – Crystalline Carbon Nitride: Computational Data and Plots' Raw Data

description: Computational_Data:

1) DFT-based_Static_Data:



DFT_Geom_Opt: Initial and DFT geometry optimized coordinates, POSCAR and CONTCAR VASP format, respectively for (Ni)-2(PHI), (Ni-CO)-2(PHI), (Ni2)-2(PHI), and (Ni2-CO)-2(PHI) systems.

DFT+U_Geom_Opt: Initial and DFT+U (Hubbard correction) geometry optimized coordinates, POSCAR and CONTCAR VASP format, respectively for (Ni)-2(PHI), (Ni-CO)-2(PHI), (Ni2)-2(PHI), and (Ni2-CO)-2(PHI) systems.


2) DFT-based_MD_Data:



300K_production_run_DFT-based_MD: DFT-based MD NVT trajectories and energy files from production runs of each equilibrated system at 300 K for (Ni2-CO)-2(PHI) systems 1, 2, and 3, in .xyz and .ener formats, respectively.


Plots_Raw_Data: Files in .xlsx, and .vasp, formats with the raw data for the corresponding plots and figures mentioned.



Figure 2c: CHGDIFF.vasp

Figure 4b: CHGDIFF.vasp

Figure 4d: CHGDIFF.vasp

Figure 4f: CHGDIFF.vasp

Figure 5a: XRD_data.xlsx

Figure 6a: DRIFT-IR_data.xlsx

Figure 7: DRIFT-IR_vs_VDOS.xlsx

Figure S11: MD_Pot_E.xlsx

Figure S12: MD_T.xlsx

Figure S13: MD_CO_Bond_Lenght.xlsx
DOI: 10.13120/9d46ea48-1af0-411d-90db-53b245ea0415
title: Arctic Ocean - Beach litter aggregated datasets 2011/2023 v2025
title: Arctic_ocean_beach_litter_aggregated_datasets_ 2011/2023_v2025

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and litter. The chosen parameters are relevant for the Marine Strategy Framework Directive (MSFD), in particular for descriptors 5, 8, 9 and 10. The dataset contains standardized, harmonized and validated data collections from beach litter (monitoring and other sources). 
Datasets concerning beach and seafloor litter data are loaded in a central database after a semi-automated validation phase. Once loaded, a data assessment is performed in order to check data consistency and potential errors are corrected thanks to a feedback loop with data originators.
For beach litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on beach litter, including monitoring data, data from cleaning surveys and data from research. A relevant part of the monitoring data has been considered for assessment purposes by the European institutions and therefore is tagged as MSFD_monitoring. EMODnet beach litter data and databases are hosted and maintained by 'Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)' from Italy.
Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: https://doi.org/10.6092/15c0d34c-a01a-4091-91ac-7c4f561ab508
The updated vocabularies of admitted values are available at:
https://nodc.ogs.it/marinelitter/vocab
The harmonized datasets can be downloaded as EMODnet Beach litter data format Version 7.0, which is a spreadsheet file composed of 4 sheets: beach metadata, survey metadata, animals and litter. Local_CDI field in the survey metadata sheet allows to retrieve the original data.