cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kqpk9x
title: Occurrence Download

description: A dataset containing 292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scaevola taccada",
 "Country is Bahamas",
 "HasCoordinate is true"
 ]
}

 The dataset includes 292 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014850-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dh3ead
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scaevola taccada",
 "Country is Puerto Rico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 244 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014853-260108223611665/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.26662189
title: Supplementary data for 'From source to sink: part 1—characterization and Lagrangian tracking of riverine microplastics in the Mediterranean Basin'

description: Here we provide three compressed .zip folders.Two folders contain shapefiles and .csv datasets for the delineation of river basins and the corresponding estimations of microplastic flux at the Mediterranean and global scales:The folder <b>MediterraneanSea.zip</b> contains 549 river basins at a resolution of 0.08°.The folder <b>Global.zip</b> contains 9988 river basins at a resolution of 0.5°, as described by Weiss et al. (2021) (ref: https://doi.org/10.1126/science.abe0290).Both datasets are characterized by the following attributes:<b>Id_R</b>: the river basin identifier<b>Id_Ocean</b>: the outlet ocean identifier<b>pixel</b>: the number of gridded cells constituting the river basin at a resolution of 0.5°<b>S</b>: the river basin surface in square kilometers<b>sQ</b>: the runoff in mm per year<b>sPop</b>: the population density in the river basins in number of inhabitants per square kilometer<b>sMP</b> : the specific estimate of microplastic inputs in kg per year per square kilometer<b>MP</b>: the total estimate of microplastic inputs in kg per year<br>The third folder <b>MiP_density_matrix_GLOBMED.zip</b> contains the post-processing matrices calculated using the described Lagrangian simulation outputs. These matrices are used to map microplastic densities at the sea surface (<i>ws+</i> for Figure 7 of the paper) and at the sea bottom (<i>ws-</i> for Figure 9). The files are in <i>.txt</i> format with header data, which allows them to be opened as rasters in QGIS, for example (same as <i>.tif</i>).The density matrices are given as the <b>number of particles per pixel area </b>(in 0.05° mesh size). To obtain the mapped concentrations, the densities should be divided by the pixel size in <b>km²</b>, as specified in the <i>pixarea.txt</i> matrix.It should also be noted that, in our simulations, one Lagrangian particle represents 10,000 microplastics, thus a <b>conversion factor of </b><b>1:10,000 </b>should be applied to the density matrices to obtain values consistent with those shown in the published figures (see the method sub-section '<i>River MP fluxes</i>').<br>
DOI: 10.6084/m9.figshare.26662189.v1
title: Supplementary data for 'From source to sink: part 1—characterization and Lagrangian tracking of riverine microplastics in the Mediterranean Basin'

description: Here we provide two compressed .zip folders with shapefiles and .csv datasets for the delineation of river basins and the corresponding estimations of microplastic flux at the Mediterranean and global scales. The folder <b>MediterraneanSea.zip</b> contains 549 river basins at a resolution of 0.08°.The folder <b>Global.zip</b> contains 9988 river basins at a resolution of 0.5°, as described by Weiss et al. (2021) (ref: https://doi.org/10.1126/science.abe0290).Both datasets are characterized by the following attributes:<b>Id_R</b>: the river basin identifier<b>Id_Ocean</b>: the outlet ocean identifier<b>pixel</b>: the number of gridded cells constituting the river basin at a resolution of 0.5°<b>S</b>: the river basin surface in square kilometers<b>sQ</b>: the runoff in mm per year<b>sPop</b>: the population density in the river basins in number of inhabitants per square kilometer<b>sMP</b> : the specific estimate of microplastic inputs in kg per year per square kilometer<b>MP</b>: the total estimate of microplastic inputs in kg per year<br>
DOI: 10.6084/m9.figshare.26662189.v2
title: Supplementary data for 'From source to sink: part 1—characterization and Lagrangian tracking of riverine microplastics in the Mediterranean Basin'

description: Here we provide three compressed .zip folders.Two folders contain shapefiles and .csv datasets for the delineation of river basins and the corresponding estimations of microplastic flux at the Mediterranean and global scales:The folder <b>MediterraneanSea.zip</b> contains 549 river basins at a resolution of 0.08°.The folder <b>Global.zip</b> contains 9988 river basins at a resolution of 0.5°, as described by Weiss et al. (2021) (ref: https://doi.org/10.1126/science.abe0290).Both datasets are characterized by the following attributes:<b>Id_R</b>: the river basin identifier<b>Id_Ocean</b>: the outlet ocean identifier<b>pixel</b>: the number of gridded cells constituting the river basin at a resolution of 0.5°<b>S</b>: the river basin surface in square kilometers<b>sQ</b>: the runoff in mm per year<b>sPop</b>: the population density in the river basins in number of inhabitants per square kilometer<b>sMP</b> : the specific estimate of microplastic inputs in kg per year per square kilometer<b>MP</b>: the total estimate of microplastic inputs in kg per year<br>The third folder <b>MiP_density_matrix_GLOBMED.zip</b> contains the post-processing matrices calculated using the described Lagrangian simulation outputs. These matrices are used to map microplastic densities at the sea surface (<i>ws+</i> for Figure 7 of the paper) and at the sea bottom (<i>ws-</i> for Figure 9). The files are in <i>.txt</i> format with header data, which allows them to be opened as rasters in QGIS, for example (same as <i>.tif</i>).The density matrices are given as the <b>number of particles per pixel area </b>(in 0.05° mesh size). To obtain the mapped concentrations, the densities should be divided by the pixel size in <b>km²</b>, as specified in the <i>pixarea.txt</i> matrix.It should also be noted that, in our simulations, one Lagrangian particle represents 10,000 microplastics, thus a <b>conversion factor of </b><b>1:10,000 </b>should be applied to the density matrices to obtain values consistent with those shown in the published figures (see the method sub-section '<i>River MP fluxes</i>').<br>
DOI: 10.15468/dl.zk85jd
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alchemilla carniolica, Alchemilla colorata, Alchemilla colorata, Alchemilla exigua, Alchemilla exigua, Alchemilla flabellata, Alchemilla flabellata, Alchemilla glaucescens, Alchemilla monticola, Alchemilla plicata, Alchemilla plicata, Alchemilla propinqua, Alchemilla propinqua, Alchemilla propinqua)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 147 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014849-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rmppjw
title: Occurrence Download

description: A dataset containing 725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scaevola taccada",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 725 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014852-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nv5799
title: Occurrence Download

description: A dataset containing 4370 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tinca tinca",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1975",
 "Year is less than or equal to 1979"
 ]
}

 The dataset includes 4370 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014855-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gmn742
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cephalonoplos setosum"
 ]
}

 The dataset includes 141 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014856-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2313079421
title: NO BEAM - RHEED measurements on Pt/Co/Al samples (BM32 EH3)

description: To complete the dataset for experiment A32-3-767 held last November we need to perform some complementary RHEED measurment on Pt/Co/Al amples without need for x-rays beam.
DOI: 10.15468/dl.yzfqxx
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alchemilla crinita)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014858-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spphyw
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trachypithecus pileatus",
 "Country is Bhutan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 74 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014859-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7914/sn/2o_2019
title: Beetaloo Seismic Monitoring Project

description: A group of 10 baseline monitoring stations deployed in 2019 will be utilized to monitor natural and anthropogenic seismic activity in the Basin. These locally recording stations will superseded in 2021 with up to 10 real time monitoring stations to identify and characterize the activity within the Beetaloo Basin.
DOI: 10.5517/cczm44v
title: CCDC 912117: Experimental Crystal Structure Determination

description: Related Article: Katsuo Fukuhara,  Shin-ichiro Noro,  Kunihisa Sugimoto,  Tomoyuki Akutagawa,  Kazuya Kubo,  and Takayoshi Nakamura|2013|Inorg.Chem.|52|4229|doi:10.1021/ic301949n
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.mjsw4w
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alchemilla glabra, Alchemilla glabra, Alchemilla glabra, Alchemilla glabra)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 40 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014860-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34946/d6xs37
title: Cane Peak (2023.03.16-kern-slides)

description: This section should detail the March 2023 expedition, capture, and processing. A contact should be designated for questions.
description: placeholder from Cal OES Mission Report

The purpose of this memo is to provide Cal OES, Kern County, and other responsible agencies with descriptions of site conditions, on-going hazard risk potential, and preliminary mitigation measures to assist in emergency planning and mitigation efforts relative to the two observed landslides. One landslide is located on the southwestern flank of Cane Peak about 300 ft above Cane Peak Court and the second is located along Sierra Vista Drive.

Field report here.
description: Photogrammetry - Aerial, Photogrammetry - Aerial, LiDAR - Aerial
DOI: 10.15468/dl.dm8tvc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucalyptus camaldulensis",
 "Country is Ethiopia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014864-260108223611665/datasets/export for details.
DOI: 10.15468/dl.qcwsna
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eucalyptus camaldulensis",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014865-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wx5xva
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014862-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c9tb4q
title: Occurrence Download

description: A dataset containing 2887 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tinca tinca",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 1984"
 ]
}

 The dataset includes 2887 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014863-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18271001
title: Cyperus L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18271000
title: Cyperus L. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.15468/dl.w5e3zx
title: Occurrence Download

description: A dataset containing 1374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Gentianopsis thermalis",
 "Year 1996-2026"
 ]
}

 The dataset includes 1374 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014866-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18270770
title: SuperDARN data in netCDF format (1995-Apr)

description: 1995-Apr SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6811657
title: SuperDARN data in netCDF format (1995-Apr)

description: 1995-Apr SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.87jtc3
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alchemilla micans)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014867-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6rxch
title: Occurrence Download

description: A dataset containing 6447 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tinca tinca",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1985",
 "Year is less than or equal to 1989"
 ]
}

 The dataset includes 6447 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014868-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.54t3qm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Olamblis, Olotrema, Onkerma, Osculisa, Phaeolorum, Phyllostachys, Physiglochis, Polyglochin, Proteocarpus, Pseudocarex)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043346-250811113504898/datasets/export for details.
DOI: 10.15468/dl.uxw9fb
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "TaxonKey is Spodoptera frugiperda"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043345-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4a3rtn
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geranium pusillum",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 93 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043349-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gkfeu6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sterrhoptilus dennistouni",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043348-250811113504898/datasets/export for details.
DOI: 10.15468/dl.gjuqyy
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geranium pusillum",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043350-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.