cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.uy2hfz
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex macrostachys Bertol.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 34 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0292272-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqxfzj
title: Occurrence Download

description: A dataset containing 28981 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium angustifolium L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 28981 records from 282 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0258011-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g2gzas
title: Occurrence Download

description: A dataset containing 27427 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pternistis adspersus (Waterhouse, 1838))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27427 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084114-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tq4eym
title: Occurrence Download

description: A dataset containing 3834 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Glinus lotoides L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3834 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261998-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vgyb6u
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Festuca alpestris Roem. & Schult.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 52 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297169-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tqxcjt
title: Occurrence Download

description: A dataset containing 18021 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Digitalis grandiflora Mill.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18021 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259362-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25810/6qjv-1296.94
title: Indian Newspaper Coverage of Climate Change or Global Warming, 2000-2026 - January 2026

description: The Media and Climate Change Observatory Data monitors 131 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.18549864
title: Mopo pan-European VRE data: Climate change projections

description: This dataset provides simulated hourly wind and solar PV generation time series used in the Mopo project for pan‑European energy system modeling. The modeling framework follows https://doi.org/10.5281/zenodo.17950647 (validated in Nayak et al. (2025)), extended here to run on climate projections.

Climate inputs come from two models from the Copernicus Climate Change Service (2024): MPI‑ESM1‑2‑HR (MEHR)and EC‑Earth3 (ECE3). For each model, two scenarios are simulated: SSP2‑4.5, representing an intermediate “middle‑of‑the‑road” pathway, and SSP5‑8.5, representing a very high‑emission pathway. This yields four climate projections covering 2015–2100 at hourly resolution. Following Luzia (2023), wind speeds in all projections are scaled using GWA2.




Each climate projection includes:



Solar PV: 3 simulated PV technologies.

Offshore wind: 4 specific technologies (2 bottom‑fixed (FB) and 2 floating (FO)) plus an “existing” configuration.

Onshore wind: 9 specific technologies plus an “existing” configuration.


“Existing” runs represent installations characteristic of 2020 in the analyzed regions, while “specific technology” runs represent possible future VRE installations. See https://doi.org/10.5281/zenodo.17950647 for more details about the simulated VRE technologies and regions.
DOI: 10.5281/zenodo.18549865
title: Mopo pan-European VRE data: Climate change projections

description: This dataset provides simulated hourly wind and solar PV generation time series used in the Mopo project for pan‑European energy system modeling. The modeling framework follows https://doi.org/10.5281/zenodo.17950647 (validated in Nayak et al. (2025)), extended here to run on climate projections.

Climate inputs come from two models from the Copernicus Climate Change Service (2024): MPI‑ESM1‑2‑HR (MEHR)and EC‑Earth3 (ECE3). For each model, two scenarios are simulated: SSP2‑4.5, representing an intermediate “middle‑of‑the‑road” pathway, and SSP5‑8.5, representing a very high‑emission pathway. This yields four climate projections covering 2015–2100 at hourly resolution. Following Luzia (2023), wind speeds in all projections are scaled using GWA2.




Each climate projection includes:



Solar PV: 3 simulated PV technologies.

Offshore wind: 4 specific technologies (2 bottom‑fixed (FB) and 2 floating (FO)) plus an “existing” configuration.

Onshore wind: 9 specific technologies plus an “existing” configuration.


“Existing” runs represent installations characteristic of 2020 in the analyzed regions, while “specific technology” runs represent possible future VRE installations. See https://doi.org/10.5281/zenodo.17950647 for more details about the simulated VRE technologies and regions.
DOI: 10.5281/zenodo.18561224
title: SuperDARN data in netCDF format (2017-Nov)

description: 2017-Nov 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.6289076
title: SuperDARN data in netCDF format (2017-Nov)

description: 2017-Nov 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.9gvmtb
title: Occurrence Download

description: A dataset containing 360765 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"11592253","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"YEAR","value":"1970,2020","matchCase":false},{"type":"equals","key":"MONTH","value":"5,8","matchCase":false},{"type":"within","geometry":"POLYGON((-121.3 43.4, -100.7 43.4, -100.7 28.7, -121.3 28.7,-121.3 43.4))"}]}

 The dataset includes 360765 records from 653 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003357-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eufqnt
title: Occurrence Download

description: A dataset containing 27576 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "VerbatimScientificName is Sagittarius serpentarius"
 ]
}

 The dataset includes 27576 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003418-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8phna
title: Occurrence Download

description: A dataset containing 235 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Estimación de la densidad poblacional y dieta del lince (Lynx rufus) Sierra Seri, Sonora y Janos, Chihuahua"
 ]
}

 The dataset includes 235 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003419-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bx3n2h
title: Occurrence Download

description: A dataset containing 19422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cynomys ludovicianus"
 ]
}

 The dataset includes 19422 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003420-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rvrcv6
title: Occurrence Download

description: A dataset containing 220 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 "TaxonKey is one of (Akodon juninensis [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 220 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003422-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15599023
title: Including Impacts of Microplastics and Cellulosic Microfibers in Marine Water and Sediments in Life Cycle Assessment

description: This repository contains the updated MarILCA characterization factors (CFs) for the physical effects of microplastics (MPs) on marine biota, including impacts in both the water column and sediment compartments. This update (version 2):



Provides updated (cotton, viscose, and linen) and additional CFs for cellulosic materials (lyocell, modal, and rayon) based on a new published article in sheets "1.3 Marine_micro_fiber" and "2.3 Freshwater_micro_fiber"

Fixes a minor mistake in the default CFs for viscose and cotton that were inverted in the sheets "1.1 Marine_micro_default" and "2.1 Freshwater_micro_default".

All CFs are provided in the file "SI_All_CFs.xlsx". Other files (e.g. case study results) were not updated, and therefore can be found in the previous version of this repository, or in the supplementary informations of the associated publications.

Updates the conversion to ReCiPe units. CFs in units compatible with ReCiPe and GLAM can be found in sheet "3.1 ReCiPe and GLAM".


Please refer to and cite the following articles: 



For synthetic materials: Saadi, N., Lavoie, J., Fantke, P., Redondo-Hasselerharm, P., & Boulay, A.-M. (2025). Including impacts of microplastics in marine water and sediments in life cycle assessment. Journal of Cleaner Production, 520, 146037. https://doi.org/10.1016/j.jclepro.2025.146037

For cellulosic materials: Saadi, N., & Boulay, A.-M. (2026). Microfibers in Life Cycle Assessment: Comparing the Physical Effects of Cellulosic and Synthetic Fibers via Characterization Factors Development. Integrated Environmental Assessment and Management, vjag007, https://doi.org/10.1093/inteam/vjag007


Ongoing work of the MarILCA group aims at finalizing these CFs while including impacts in all ecosystems (marine, freshwater, and terrestrial), for all particles (synthetic, cellulosic and TRWPs) of all shapes and sizes.
DOI: 10.5281/zenodo.18561652
title: Including Impacts of Microplastics and Cellulosic Microfibers in Marine Water and Sediments in Life Cycle Assessment

description: This repository contains the updated MarILCA characterization factors (CFs) for the physical effects of microplastics (MPs) on marine biota, including impacts in both the water column and sediment compartments. This update (version 2):



Provides updated (cotton, viscose, and linen) and additional CFs for cellulosic materials (lyocell, modal, and rayon) based on a new published article in sheets "1.3 Marine_micro_fiber" and "2.3 Freshwater_micro_fiber"

Fixes a minor mistake in the default CFs for viscose and cotton that were inverted in the sheets "1.1 Marine_micro_default" and "2.1 Freshwater_micro_default".

All CFs are provided in the file "SI_All_CFs.xlsx". Other files (e.g. case study results) were not updated, and therefore can be found in the previous version of this repository, or in the supplementary informations of the associated publications.

Updates the conversion to ReCiPe units. CFs in units compatible with ReCiPe and GLAM can be found in sheet "3.1 ReCiPe and GLAM".


Please refer to and cite the following articles: 



For synthetic materials: Saadi, N., Lavoie, J., Fantke, P., Redondo-Hasselerharm, P., & Boulay, A.-M. (2025). Including impacts of microplastics in marine water and sediments in life cycle assessment. Journal of Cleaner Production, 520, 146037. https://doi.org/10.1016/j.jclepro.2025.146037

For cellulosic materials: Saadi, N., & Boulay, A.-M. (2026). Microfibers in Life Cycle Assessment: Comparing the Physical Effects of Cellulosic and Synthetic Fibers via Characterization Factors Development. Integrated Environmental Assessment and Management, vjag007, https://doi.org/10.1093/inteam/vjag007


Ongoing work of the MarILCA group aims at finalizing these CFs while including impacts in all ecosystems (marine, freshwater, and terrestrial), for all particles (synthetic, cellulosic and TRWPs) of all shapes and sizes.
DOI: 10.15468/dl.tp4937
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamotrygon wallacei",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 71 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003423-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21947/3017261
title: US Wind Power Plants Static Database

description: This database provides detailed information on wind power plants across the US. The database contains records from EIA 860, including plant names, turbine counts, installed capacity, etc. Individual turbine-level data is derived from the U.S. Wind Turbine Database, which provides geographic coordinates and technical specifications for individual wind turbines.
DOI: 10.5281/zenodo.18564008
title: Nanosynbacter circular genomes for myloasm paper, Fig. 6

description: Nanosynbacter circular genomes for Fig. 6 as Source Data.
DOI: 10.3535/7se-hn3-jwg
title: Duguetia marcgraviana Mart.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/g3l-9z2-11s
title: Arabis soyeri Reut. & A. Huet

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/2x9-7gq-jje
title: Biscutella laevigata L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/vrc-3am-a2q
title: Duguetia oblongifolia R. E. Fr.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/62m-5j9-q9n
title: Cymbopetalum longipes Diels

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/kz2-ncx-j8v
title: Guatteria dolichopoda Donn. Sm.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/pjx-2n3-41c
title: Guatteria dolichopoda Donn. Sm.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/m2d-dh6-v8w
title: Ruttya fruticosa Lindau

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/vxk-9tv-kxj
title: Ruttya fruticosa Lindau

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/aps-2gw-mjj
title: Ruttya fruticosa Lindau

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/tz4-ey9-1s8
title: Ruttya fruticosa Lindau

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.cjrqtd
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAD8689"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112741-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/6ne-dvp-qab
title: Saurauia congestiflora A. C. Sm.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/kff-x11-w12
title: Cymbopetalum stenophyllum Donn. Sm.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/q8a-pw7-3xl
title: Cymbopetalum tessmannii R. E. Fr.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/p68-qvl-dcx
title: Rungia pectinata (L.) Nees

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/rq2-xk6-f0h
title: Rungia pectinata (L.) Nees

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/3l3-w3q-m4c
title: Saurauia congestiflora A. C. Sm.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/kj1-2t3-62p
title: Ruttya fruticosa Lindau

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/h42-f3h-kkt
title: Saurauia congestiflora A. C. Sm.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/va5-g4p-rh5
title: Aizoon canariense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/14n-mhz-6sr
title: Rungia pectinata (L.) Nees

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/px2-n39-w4h
title: Mezzettia umbellata Becc.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/9xf-x5j-0w9
title: Saurauia congestiflora A. C. Sm.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/h1j-dmp-jq9
title: Aizoon canariense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/kxh-m7w-66j
title: Rungia pectinata (L.) Nees

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/0ky-e4q-qqe
title: Mesembryanthemum crystallinum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/cmh-dwq-0rx
title: Justicia flava (Forssk.) Vahl

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/5ks-4fc-k4k
title: Guatteria caribaea Urb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/kdz-3q1-bne
title: Justicia floribunda (J. J. Veitch) Wassh.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/af5-6n0-z5z
title: Trianthema crystallinum (Forssk.) Vahl

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/eks-3wg-49p
title: Guatteria caribaea Urb.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/2z1-p8q-4ve
title: Aizoon canariense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/yld-b55-jlg
title: Aizoon canariense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ytz-exa-jaa
title: Ruellia patula Jacq.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/dzq-a32-hkm
title: Aizoon canariense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/rfb-5n8-fl9
title: Aizoon canariense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.