cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-es-2148931916
title: Scientific projects of the IBS synchrotron group

description: We study the structures of a broad diversity of macromolecules from fluorescent to metabolic proteins. One of our primary focus is on solving the 3D structures of enzymes within the MEP pathway, as they represent promising drug targets. Additionally, we are engaged in characterizing new fluorescent proteins derived for instance from bacteriophytochrome. Our research activities also include the development of instrumentation and methodologies, spanning from crystallization to room temperature data collection. We strive to enhance crystal quality for both X-ray and neutron diffraction. Furthermore, we conduct high-throughput screening (HTS) of chemical libraries to identify active ligands targeting proteins with pharmaceutical relevance.
DOI: 10.60893/figshare.apl.28821152
title: Supplement Number 1

description: Relevant theoretical framework
DOI: 10.60893/figshare.apl.28821152.v1
title: Supplement Number 1

description: Relevant theoretical framework
DOI: 10.15151/esrf-es-2152699708
title: Mechanisms of Human Disease

description: There are seven highly productive core funded structural biology groups at the Francis Crick Institute, including the team within the Structural Biology Science Technology Platform who collaborate with other groups. Additionally two groups at Durham University add to the research to be undertaken. We are extremely dependent on continual access to the excellent facilities at European synchrotrons for our work.
These MX groups employ a range of biophysical and structural techniques to understand the science behind protein complexes involved in fundamental cellular
systems and disease processes.
Additionally, the Morris lab at Durham University has a potential future project utilising the HPMX facility.
DOI: 10.60893/figshare.apl.28920329
title: Supplementary Materia

description: the lattice constants, thickness, and space group of Cr2TiC2O2 under different charge doping concentrations, phonon spectrum of Cr2TiC2O2, and band structure of Cr2TiC2O2.
DOI: 10.60893/figshare.apl.28891472
title: supplement 1

description: supplement material of the manuscript
DOI: 10.60893/figshare.apl.28891472.v1
title: supplement 1

description: supplement material of the manuscript
DOI: 10.60893/figshare.apl.28869698
title: Supplement Number 1

description: Detailed information of the domain-wall scattering model
DOI: 10.5281/zenodo.12791128
title: Weather Data Cutouts for PyPSA-Eur: An Open Optimisation Model of the European Transmission System

description: PyPSA-Eur is an open model dataset of the European power system at the transmission network level that covers the entire ENTSO-E area. It can be built using the code provided at https://github.com/PyPSA/PyPSA-eur.

It contains alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power.

Not all data dependencies are shipped with the code repository since git is not suited for handling large changing files. Instead, we provide separate data bundles and cutouts to be downloaded and extracted, as noted in the documentation.

The provided cutouts are merged spatiotemporal subsets of the European weather data from the ECMWF ERA5 reanalysis dataset and the CMSAF SARAH-3 solar surface radiation dataset for the years 2010, 2013, 2019, and 2023. They have been prepared by and are for use with the atlite tool (https://atlite.readthedocs.io/).

Solar irradiation data is taken from SARAH-3 while all other weather data is from ERA5.

ECMWF ERA5



Source: https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview

Terms of Use: https://cds.climate.copernicus.eu/api/v2/terms/static/20180314_Copernicus_License_V1.1.pdf


CMSAF SARAH-3



Pfeifroth, Uwe; Kothe, Steffen; Drücke, Jaqueline; Trentmann, Jörg; Schröder, Marc; Selbach, Nathalie; Hollmann, Rainer (2023): Surface Radiation Data Set - Heliosat (SARAH) - Edition 3, Satellite Application Facility on Climate Monitoring, DOI:10.5676/EUM_SAF_CM/SARAH/V003, https://doi.org/10.5676/EUM_SAF_CM/SARAH/V003.

Terms of Use: All intellectual property rights of the CM SAF products belong to EUMETSAT. The use of these products is granted to every interested user, free of charge. If you wish to use these products, EUMETSAT's copyright credit must be shown by displaying the words "copyright (year) EUMETSAT" on each of the products used.
DOI: 10.5281/zenodo.14936211
title: Weather Data Cutouts for PyPSA-Eur: An Open Optimisation Model of the European Transmission System

description: PyPSA-Eur is an open model dataset of the European power system at the transmission network level that covers the entire ENTSO-E area. It can be built using the code provided at https://github.com/PyPSA/PyPSA-eur.

It contains alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power.

Not all data dependencies are shipped with the code repository since git is not suited for handling large changing files. Instead, we provide separate data bundles and cutouts to be downloaded and extracted, as noted in the documentation.

The provided cutouts are merged spatiotemporal subsets of the European weather data from the ECMWF ERA5 reanalysis dataset and the CMSAF SARAH-3 solar surface radiation dataset for the years 1996, 2010, 2012, 2013, 2019, 2020 and 2023. They have been prepared by and are for use with the atlite tool (https://atlite.readthedocs.io/).

Solar irradiation data is taken from SARAH-3 while all other weather data is from ERA5.

ECMWF ERA5



Source: https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview

Terms of Use: https://cds.climate.copernicus.eu/api/v2/terms/static/20180314_Copernicus_License_V1.1.pdf


CMSAF SARAH-3



Pfeifroth, Uwe; Kothe, Steffen; Drücke, Jaqueline; Trentmann, Jörg; Schröder, Marc; Selbach, Nathalie; Hollmann, Rainer (2023): Surface Radiation Data Set - Heliosat (SARAH) - Edition 3, Satellite Application Facility on Climate Monitoring, DOI:10.5676/EUM_SAF_CM/SARAH/V003, https://doi.org/10.5676/EUM_SAF_CM/SARAH/V003.

Terms of Use: All intellectual property rights of the CM SAF products belong to EUMETSAT. The use of these products is granted to every interested user, free of charge. If you wish to use these products, EUMETSAT's copyright credit must be shown by displaying the words "copyright (year) EUMETSAT" on each of the products used.
DOI: 10.5281/zenodo.15130997
title: Weather Data Cutouts for PyPSA-Eur: An Open Optimisation Model of the European Transmission System

description: PyPSA-Eur is an open model dataset of the European power system at the transmission network level that covers the entire ENTSO-E area. It can be built using the code provided at https://github.com/PyPSA/PyPSA-eur.

It contains alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power.

Not all data dependencies are shipped with the code repository since git is not suited for handling large changing files. Instead, we provide separate data bundles and cutouts to be downloaded and extracted, as noted in the documentation.

The provided cutouts are merged spatiotemporal subsets of the European weather data from the ECMWF ERA5 reanalysis dataset and the CMSAF SARAH-3 solar surface radiation dataset for the years 1996, 2010, 2012, 2013, 2019, 2020 and 2023. They have been prepared by and are for use with the atlite tool (https://atlite.readthedocs.io/).

Solar irradiation data is taken from SARAH-3 while all other weather data is from ERA5.

ECMWF ERA5



Source: https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview

Terms of Use: https://cds.climate.copernicus.eu/api/v2/terms/static/20180314_Copernicus_License_V1.1.pdf


CMSAF SARAH-3



Pfeifroth, Uwe; Kothe, Steffen; Drücke, Jaqueline; Trentmann, Jörg; Schröder, Marc; Selbach, Nathalie; Hollmann, Rainer (2023): Surface Radiation Data Set - Heliosat (SARAH) - Edition 3, Satellite Application Facility on Climate Monitoring, DOI:10.5676/EUM_SAF_CM/SARAH/V003, https://doi.org/10.5676/EUM_SAF_CM/SARAH/V003.

Terms of Use: All intellectual property rights of the CM SAF products belong to EUMETSAT. The use of these products is granted to every interested user, free of charge. If you wish to use these products, EUMETSAT's copyright credit must be shown by displaying the words "copyright (year) EUMETSAT" on each of the products used.
DOI: 10.5281/zenodo.4709858
title: Weather Data Cutouts for PyPSA-Eur: An Open Optimisation Model of the European Transmission System

description: <strong>PyPSA-Eur</strong> is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area. It can be built using the code provided at https://github.com/PyPSA/PyPSA-eur. <strong>It contains</strong> alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power. <strong>Not all data dependencies</strong> are shipped with the code repository, since git is not suited for handling large changing files. Instead we provide separate <strong>data bundles and cutouts</strong> to be downloaded and extracted as noted in the documentation. The provided <strong>cutouts </strong>are spatiotemporal subsets of the European weather data from the ECMWF ERA5 reanalysis dataset and the CMSAF SARAH-2 solar surface radiation dataset for the year 2013. They have been prepared by and are for use with the atlite tool (https://atlite.readthedocs.io/). <strong>ECMWF ERA5</strong> <strong>Source: </strong>https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview <strong>Terms of Use: </strong>https://cds.climate.copernicus.eu/api/v2/terms/static/20180314_Copernicus_License_V1.1.pdf <strong>CMSAF SARAH-2</strong> Pfeifroth, Uwe; Kothe, Steffen; Müller, Richard; Trentmann, Jörg; Hollmann, Rainer; Fuchs, Petra; Werscheck, Martin (2017): Surface Radiation Data Set - Heliosat (SARAH) - Edition 2, Satellite Application Facility on Climate Monitoring, DOI:10.5676/EUM_SAF_CM/SARAH/V002, https://doi.org/10.5676/EUM_SAF_CM/SARAH/V002. <strong>Terms of Use:</strong> https://www.eumetsat.int/cs/idcplg?IdcService=GET_FILE&dDocName=pdf_leg_data_policy&allowInterrupt=1&noSaveAs=1&RevisionSelectionMethod=LatestReleased
DOI: 10.5281/zenodo.6350001
title: Weather Data Cutouts for PyPSA-Eur: An Open Optimisation Model of the European Transmission System

description: <strong>PyPSA-Eur</strong> is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area. It can be built using the code provided at https://github.com/PyPSA/PyPSA-eur. <strong>It contains</strong> alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power. <strong>Not all data dependencies</strong> are shipped with the code repository, since git is not suited for handling large changing files. Instead we provide separate <strong>data bundles and cutouts</strong> to be downloaded and extracted as noted in the documentation. The provided <strong>cutouts </strong>are spatiotemporal subsets of the European weather data from the ECMWF ERA5 reanalysis dataset and the CMSAF SARAH-2 solar surface radiation dataset for the year 2013. They have been prepared by and are for use with the atlite tool (https://atlite.readthedocs.io/). <strong>ECMWF ERA5</strong> <strong>Source: </strong>https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview <strong>Terms of Use: </strong>https://cds.climate.copernicus.eu/api/v2/terms/static/20180314_Copernicus_License_V1.1.pdf <strong>CMSAF SARAH-2</strong> Pfeifroth, Uwe; Kothe, Steffen; Müller, Richard; Trentmann, Jörg; Hollmann, Rainer; Fuchs, Petra; Werscheck, Martin (2017): Surface Radiation Data Set - Heliosat (SARAH) - Edition 2, Satellite Application Facility on Climate Monitoring, DOI:10.5676/EUM_SAF_CM/SARAH/V002, https://doi.org/10.5676/EUM_SAF_CM/SARAH/V002. <strong>Terms of Use:</strong> https://www.eumetsat.int/cs/idcplg?IdcService=GET_FILE&dDocName=pdf_leg_data_policy&allowInterrupt=1&noSaveAs=1&RevisionSelectionMethod=LatestReleased
DOI: 10.5281/zenodo.6382570
title: Weather Data Cutouts for PyPSA-Eur: An Open Optimisation Model of the European Transmission System

description: <strong>PyPSA-Eur</strong> is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area. It can be built using the code provided at https://github.com/PyPSA/PyPSA-eur. <strong>It contains</strong> alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power. <strong>Not all data dependencies</strong> are shipped with the code repository, since git is not suited for handling large changing files. Instead we provide separate <strong>data bundles and cutouts</strong> to be downloaded and extracted as noted in the documentation. The provided <strong>cutouts </strong>are spatiotemporal subsets of the European weather data from the ECMWF ERA5 reanalysis dataset and the CMSAF SARAH-2 solar surface radiation dataset for the year 2013. They have been prepared by and are for use with the atlite tool (https://atlite.readthedocs.io/). <strong>ECMWF ERA5</strong> <strong>Source: </strong>https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview <strong>Terms of Use: </strong>https://cds.climate.copernicus.eu/api/v2/terms/static/20180314_Copernicus_License_V1.1.pdf <strong>CMSAF SARAH-2</strong> Pfeifroth, Uwe; Kothe, Steffen; Müller, Richard; Trentmann, Jörg; Hollmann, Rainer; Fuchs, Petra; Werscheck, Martin (2017): Surface Radiation Data Set - Heliosat (SARAH) - Edition 2, Satellite Application Facility on Climate Monitoring, DOI:10.5676/EUM_SAF_CM/SARAH/V002, https://doi.org/10.5676/EUM_SAF_CM/SARAH/V002. <strong>Terms of Use:</strong> https://www.eumetsat.int/cs/idcplg?IdcService=GET_FILE&dDocName=pdf_leg_data_policy&allowInterrupt=1&noSaveAs=1&RevisionSelectionMethod=LatestReleased
DOI: 10.15468/dl.purzcy
title: Occurrence Download

description: A dataset containing 72351 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus L.",
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "Elevation is not null"
 ]
}

 The dataset includes 72351 records from 502 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028177-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mykxzc
title: Occurrence Download

description: A dataset containing 883712 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Continent is one of (Africa, Asia, Oceania, Europe, North America, South America)",
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Formicidae",
 "Year 1900-2025"
 ]
}

 The dataset includes 883712 records from 795 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028768-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/wdya1n
title: Replication Data for: {censobr}: Easy Access to Brazilian Population Census Data

description: Data from the article "{censobr}: Easy Access to Brazilian Population Census Data", by Rafael H. M. Pereira and Rogério Barbosa, published in Revista DADOS v. 69, n. 1.
description: This paper introduces {censobr}, an R package that provides an efficient method for accessing and analyzing Brazilian census data. The package enables in-disk data manipulation, allowing users to handle larger-than-memory datasets seamlessly with familiar {dplyr} syntax. The package integrates with {geobr}, enriching census data with geographic identifiers for easy spatial analysis. It offers a range of functions to download microdata and aggregated data for all of the Brazilian census editions since 1960 and provides access to essential documentation such as variable dictionaries and interview manuals. Through this approach, {censobr} enhances accessibility to detailed demographic and socioeconomic information, including both individual-level microdata and census tract-level aggregates. Additionally, the package's handling of complex survey designs and support for spatial data visualization facilitates in-depth analysis of the sociodemographic characteristics and living conditions of the Brazilian population over several decades. Practical examples included in the paper demonstrate its applications in areas such as demographic analysis and household-level research. {censobr} represents a significant advancement in making Brazilian census data accessible and efficient for academic and policy-related research. Future updates will expand its functionality and data coverage, contributing further to the ease of use and analytical capabilities of the package.
DOI: 10.15468/dl.yr8p36
title: Occurrence Download

description: A dataset containing 5812 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Trochodendrales"
 ]
}

 The dataset includes 5812 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001896-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hyfst7
title: Occurrence Download

description: A dataset containing 821 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Cryptobranchus alleganiensis (Sonnini de Manoncourt & Latreille, 1801))"
 ]
}

 The dataset includes 821 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001902-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uemjnw
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.1_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Zanthoxylum armatum DC."
 ]
}

 The dataset includes 65 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001899-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3zxv4z
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bhutan",
 "TaxonKey is Ardea insignis",
 "Year 1975-2010"
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027867-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxpmnb
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trichomycterus belensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027870-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48580/dgjy9-3gf
title: MilliBase
DOI: 10.48580/dgjy9-3gh
title: World Amphipoda Database
DOI: 10.48580/dfrdl-4f8
title: The Interim Register of Marine and Nonmarine Genera
DOI: 10.48580/dgjy9-4ky
title: The Integrated Taxonomic Information System
DOI: 10.48580/dgh3g-4nz
title: The World Checklist of Vascular Plants (WCVP)
DOI: 10.48580/dgjy9-4pt
title: World Catalogue of Opiliones
DOI: 10.48580/dgjy9-4rb
title: World Brachiopoda Database
DOI: 10.48580/dgjy9-4rf
title:  Nemys, World Database of Nematodes
DOI: 10.48580/dgjy9-4rx
title: 3i World Auchenorrhyncha Database
DOI: 10.15468/dl.cdxpu2
title: Occurrence Download

description: A dataset containing 17373 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macaca fascicularis"
 ]
}

 The dataset includes 17373 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027871-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48580/dgjy9-49tr
title: Checklist of the Sesiidae of the world (Lepidoptera: Ditrysia)
DOI: 10.48580/dgjy9-49xk
title: Global Lepidoptera Index
DOI: 10.48580/dgjy9-75rv
title: The World Odonata List
DOI: 10.48580/dglq4-388
title: Orthoptera Species File
DOI: 10.48580/dglq4-38g
title: World Scarabaeidae Database
DOI: 10.48580/dgjc7-38v
title: Electronic Catalogue of Weevil names (Curculionoidea)
DOI: 10.48580/dglq4-392
title: World Porifera Database
DOI: 10.48580/dglq4-398
title: Phasmida Species File
DOI: 10.48580/dglq4-39m
title: Aphid Species File
DOI: 10.48580/dglq4-39r
title: Plecoptera Species File
DOI: 10.15468/dl.rpjpam
title: Occurrence Download

description: A dataset containing 43467707 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 43467707 records from 2162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027806-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12737118
title: Enhanced performance of reversible solid oxide cells using high-surface-area nanostructured thin-film oxygen electrodes
DOI: 10.5281/zenodo.12737119
title: Enhanced performance of reversible solid oxide cells using high-surface-area nanostructured thin-film oxygen electrodes