cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/ma98hq
title: Données de la quête INPN Espèces : Un ver plat dans mon jardin !

description: Les vers plats ont envahi la France. Grâce aux témoignages de nombreux participants, nous savons déjà que certaines espèces sont présentes dans la plupart des départements français de métropole. En outre-mer, d’autres espèces sont aussi présentes et parfois très abondantes.

Il faut maintenant améliorer notre connaissance de la localisation de chacune de ces espèces. La tâche est immense : plus de dix espèces ont été repérées, certaines abondantes, d’autres rares, et il faudrait inspecter des millions de jardins pour avoir une idée précise de leur répartition. C’est pour cela que nous avons besoin de l’aide des volontaires pour répertorier les espèces dans leur jardin, savoir quand on les trouve, et où on les trouve. La plupart de ces espèces sont nocturnes et aiment l’humidité, on les trouvera plus facilement la nuit ou tôt le matin après une pluie – jamais au plein soleil de midi. On pourra, par contre, les trouver en journée, cachées sous des pots de fleurs, des sacs en plastique, des morceaux de bois. Certaines aiment particulièrement se reposer sur les fruits tombés le matin.

Cette quête est proposée en octobre-novembre parce que c’est la période où les vers plats sont le plus facilement visibles dans les jardins.
DOI: 10.5281/zenodo.17475534
title: Data and Code for "ENSO Influence on Subsequent Early-Summer North American Atmospheric Circulation: Role of Land-atmosphere Interaction"
DOI: 10.5281/zenodo.17475533
title: Data and Code for "ENSO Influence on Subsequent Early-Summer North American Atmospheric Circulation: Role of Land-atmosphere Interaction"
DOI: 10.15468/mpsa4g
title: Bumblebees and butterflies in Norway

description: The Norwegian Institute for Nature Research (www.nina.no) has conducted area representative surveys of butterflies and bumblebees since 2009, on behalf of the Norwegian Environment Agency (https://www.miljodirektoratet.no/). The monitoring project is designed to provide indicators of bumblebees and butterflies to the Nature Index of Norway (https://naturindeks.no/), which measures the condition of the biodiversity in Norway. The monitoring project is supervised by the Norwegian Institute for Nature Research, but the field inventories are done by citizen scientists administered by Sabima (https://www.sabima.no/). More information (in Norwegian) can be found at the project web-page, which also has a rudimentary data display of the projects results (https://www.nina.no/V%C3%A5re-fagomr%C3%A5der/Milj%C3%B8overv%C3%A5king-p%C3%A5-land/Humler-og-dagsommerfugler ).
The project started in 2009 in the former counties Østfold (now part of county Viken) and Vestfold (now part of county Vestfold and Telemark). Citizen scientists joined the project in 2010, and the project was extended geographically the following year to include also the county Trøndelag. Since 2013, the project also includes the former county of Vest-Agder (now part of county Agder), and county Rogaland. 
The surveys are currently performed at a total of 52 sites from the Lucas-grid (country covering grid network with 18 km distance between grids) in the lower parts of the regions (i.e. excluding alpine areas). The grid network is made up of square polygons, placed 18 x 18 km apart, where every square is 1.5 * 1.5 km. In each square, a total of 1 km transects (20 transects á 50 m) are placed in suitable environments (approximately evenly distributed between the habitat types open forest- and grassland), where inventories of butterflies and bumblebees are perfomed three times each summer following a standardized protocol. This includes visual identification and sweep netting along the fixed transects.

Earlier versions of this dataset contained specific absences of all unobserved taxa within the scope of the study. These are now removed, but can be inferred by the user by adding zeroes for all butterfly species (Papilionoidea) and bumblebee species (Bombus).

A recipe for how to download and arrange the data to a more traditional format can be found here: 
https://github.com/jenast/NBBM_data_export/blob/master/NBBM_GBIF_to_BMS_export.md
DOI: 10.5281/zenodo.14336315
title: Results for the paper "Unlocking the green power of the North Sea: Identifying key energy infrastructure synergies for 2030 and 2040"

description: Dataset of results for "Unlocking the green power of the North Sea: Identifying key energy infrastructure synergies for 2030 and 2040"

The dataset includes the optimization results for each scenario presented in the paper which can be visualized using the provided visualization app (see GitHub repository here). The code to obtain this data is available on GitHub here.

The dataset includes:



2030_costs: Results for all scenarios optimizing costs for 2030

2030_min_emissions: Results for all scenarios optimizing emissions for 2030

2030_minCosts_at_emissionlimit: Results for hydrogen and storage scenarios minimizing costs at an emission reduction target for 2030

2040_costs: Results for all scenarios optimizing costs for 2040

2040_costs_variableh2demand: Resusults for Synergies for 2040

2040_min_emissions: Results for Synergies optimizing emissions for 2040
DOI: 10.5281/zenodo.17467574
title: Results for the paper "Unlocking the green power of the North Sea: Identifying key energy infrastructure synergies for 2030 and 2040"

description: Dataset of results for "Unlocking the green power of the North Sea: Identifying key energy infrastructure synergies for 2030 and 2040"

The dataset includes the optimization results for each scenario presented in the paper which can be visualized using the provided visualization app (see GitHub repository here). The code to obtain this data is available on GitHub here.

The dataset includes:



2030_costs: Results for all scenarios optimizing costs for 2030

2030_min_emissions: Results for all scenarios optimizing emissions for 2030

2030_minCosts_at_emissionlimit: Results for hydrogen and storage scenarios minimizing costs at an emission reduction target for 2030

2040_costs: Results for all scenarios optimizing costs for 2040

2040_costs_variableh2demand: Resusults for Synergies for 2040

2040_min_emissions: Results for Synergies optimizing emissions for 2040
DOI: 10.15468/dl.84acsz
title: Occurrence Download

description: A dataset containing 58666 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Anemia"
 ]
}

 The dataset includes 58666 records from 553 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006507-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15658117
title: West Antarctic Meltwater can Prevent an AMOC Collapse [Dataset]

description: Contains all the Data used in the manuscript "West Antarctic Meltwater can Prevent an AMOC Collapse" (Data.zip) and the julia software used for plotting (Plotting.jl). Updated for revised figures.
DOI: 10.15468/xtb85f
title: Atlas de la Biodiversité Communale-Science participative

description: Photos des habitants / Données aquises dans le cadre des ABC, mission principale de l'association LUS
DOI: 10.5281/zenodo.14800554
title: West Antarctic Meltwater can Prevent an AMOC Collapse [Dataset]

description: Contains all the Data used in the manuscript "West Antarctic Meltwater can Prevent an AMOC Collapse" (Data.zip) and the julia software used for plotting (Plotting.jl). Updated for revised figures.
DOI: 10.3886/icpsr39568
title: County-Level Marriage and Divorce Data, United States, 2011-2019
title: Archival Version

description: Contemporary local level marriage and divorce administrative data are not readily available. This can limit understanding of geographic variation in marriage and divorce, particularly for areas with small populations. There is no centralized location or agency responsible for providing administrative data on marriage and divorce at the local level. This project amassed, assembled, and cleaned administrative marriage and divorce counts, including counts of same-sex marriages, providing the first and only documentation of administrative data on same-sex marriages. Data have been harmonized spatiotemporally in a format to aid researchers in linking marriage and divorce data to other data sources by county, state, and year.
description: To provide an accurate count of all and same-sex marriages and divorces by county by year.
description: Both data files start off with a unique case identification value, and then two variables each to differently identify the state and county.
The "All Couples Data File" (DS1) contains 3,176 cases and 23 variables. The primary variables give the marriage and divorce counts for the years 2011 to 2019 by county.
The "Same-Sex Couples Data File" (DS2) contains 997 cases and 59 variables. Variables include marriage and divorce counts for the same range of years, but for all same-sex couples. It also contains additional variables that breaks those counts down by gender for males and females.
description: Datasets: 
DS0: Study-Level Files
DS1: All Couples Data File
DS2: Same-Sex Couples Data File
description: Marriage and divorce records from the United States for the years 2011 to 2019. Smallest Geographic Unit: County
description: record abstractsThe variable <strong>GISJOIN</strong> may be used to merge the two data files to each other.Only 17 states contain data in the "Same-Sex Couples Data File" (DS2). These include: Colorado, Connecticut, Georgia, Hawaii, Idaho, Iowa, Louisiana, Maine, Massachusetts, Missouri, New Jersey, New York, Oregon, South Carolina, Virginia, Washington, and West Virginia.The District of Columbia and all 50 states, with the exception of Rhode Island, appear in the "All Couples Data File" (DS1).Users are encouraged to utilize the Excel "Data Sources" document provided by the Principal Investigator. This file provides a breakdown by state and year links to online reports where information was pulled from. In some instances data was not available and/or came through personal communication between the P.I. and the state. These instances are marked as such.
DOI: 10.3886/icpsr39568.v1
title: County-Level Marriage and Divorce Data, United States, 2011-2019
title: Version 1

description: Contemporary local level marriage and divorce administrative data are not readily available. This can limit understanding of geographic variation in marriage and divorce, particularly for areas with small populations. There is no centralized location or agency responsible for providing administrative data on marriage and divorce at the local level. This project amassed, assembled, and cleaned administrative marriage and divorce counts, including counts of same-sex marriages, providing the first and only documentation of administrative data on same-sex marriages. Data have been harmonized spatiotemporally in a format to aid researchers in linking marriage and divorce data to other data sources by county, state, and year.
description: To provide an accurate count of all and same-sex marriages and divorces by county by year.
description: Both data files start off with a unique case identification value, and then two variables each to differently identify the state and county.
The "All Couples Data File" (DS1) contains 3,176 cases and 23 variables. The primary variables give the marriage and divorce counts for the years 2011 to 2019 by county.
The "Same-Sex Couples Data File" (DS2) contains 997 cases and 59 variables. Variables include marriage and divorce counts for the same range of years, but for all same-sex couples. It also contains additional variables that breaks those counts down by gender for males and females.
description: Datasets: 
DS0: Study-Level Files
DS1: All Couples Data File
DS2: Same-Sex Couples Data File
description: Marriage and divorce records from the United States for the years 2011 to 2019. Smallest Geographic Unit: County
description: record abstractsThe variable <strong>GISJOIN</strong> may be used to merge the two data files to each other.Only 17 states contain data in the "Same-Sex Couples Data File" (DS2). These include: Colorado, Connecticut, Georgia, Hawaii, Idaho, Iowa, Louisiana, Maine, Massachusetts, Missouri, New Jersey, New York, Oregon, South Carolina, Virginia, Washington, and West Virginia.The District of Columbia and all 50 states, with the exception of Rhode Island, appear in the "All Couples Data File" (DS1).Users are encouraged to utilize the Excel "Data Sources" document provided by the Principal Investigator. This file provides a breakdown by state and year links to online reports where information was pulled from. In some instances data was not available and/or came through personal communication between the P.I. and the state. These instances are marked as such.
DOI: 10.7910/dvn/96bolc
title: Fdi middle-level elite survey

description: We introduce a novel dataset derived from a comprehensive survey targeting both elite and middle-level elites of Brothers of Italy (Fratelli d’Italia, FdI), the most-voted party in the Italian 2022 general elections. The dataset encompasses various aspects, including socio-demographic characteristics, prior political experience, motivations for joining the party, attitudes towards several political objects, policy preferences and populist orientation. Several questions have identical wording to those in recent mass surveys, facilitating comparisons between FdI elites, FdI voters, and the broader Italian population.
DOI: 10.15468/dl.2tcdja
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is United Herbaria of the University and ETH Zurich",
 "GadmGid is CHE.23_1",
 "TaxonKey is Murbeckiella pinnatifida"
 ]
}

 The dataset includes 47 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006558-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/vgpnxz
title: Distribution of marine forests based on citizen science

description: The dataset provides citizen science records of marine ecosystem-structuring species of large brown algae performed in the scope of project "marine forests".
DOI: 10.6084/m9.figshare.30479714.v1
title: Combustion process measurement

description: This is datasets from measurement of combustion process. The secondary air opening was equial to 50%
DOI: 10.6084/m9.figshare.30479714
title: Combustion process measurement

description: This is datasets from measurement of combustion process. The secondary air opening was equial to 50%
DOI: 10.5281/zenodo.17475687
title: 5G communication delay dataset for cloud‑based vehicle planning and control

description: 5G communication delay dataset

We establish a 5G communication delay testbed at the intelligent connected vehicle evaluation base at Tongji University and conduct extensive field tests. Through these tests, over 150,000 records are collected to build our dataset, CICV5G. The dataset includes not only communication delay and channel conditions (such as reference signal received power and signal-to-noise ratio) but also vehicle poses (i.e., vehicle coordinates, velocity). Based on CICV5G, we conduct a comparative analysis of CICVs and autonomous vehicles (AVs) performance in typical scenarios and explore the impact of communication delay on the PnC. To the best of our knowledge, this is the first publicly available dataset of 5G communication delay specifically for PnC of CICVs.

Contents



data/ – Representative sample of the CICV5G dataset, with references to full data if archived elsewhere.

figures/ – Validation and visualization figures illustrating delay characteristics.

tools/ – Python scripts for data processing, analysis, and plotting.

README.md – Overview and usage instructions for the dataset.


Notes This is the first public archival release of the CICV5G dataset for research on 5G vehicle-to-network-to-vehicle (V2N2V) communication delay in cloud-based intelligent connected vehicles.The dataset includes high-frequency, real-world delay measurements and synchronized vehicle-network indicators.Complete documentation and reproduction instructions are available in the README.md.
DOI: 10.5281/zenodo.17475688
title: 5G communication delay dataset for cloud‑based vehicle planning and control

description: 5G communication delay dataset

We establish a 5G communication delay testbed at the intelligent connected vehicle evaluation base at Tongji University and conduct extensive field tests. Through these tests, over 150,000 records are collected to build our dataset, CICV5G. The dataset includes not only communication delay and channel conditions (such as reference signal received power and signal-to-noise ratio) but also vehicle poses (i.e., vehicle coordinates, velocity). Based on CICV5G, we conduct a comparative analysis of CICVs and autonomous vehicles (AVs) performance in typical scenarios and explore the impact of communication delay on the PnC. To the best of our knowledge, this is the first publicly available dataset of 5G communication delay specifically for PnC of CICVs.

Contents



data/ – Representative sample of the CICV5G dataset, with references to full data if archived elsewhere.

figures/ – Validation and visualization figures illustrating delay characteristics.

tools/ – Python scripts for data processing, analysis, and plotting.

README.md – Overview and usage instructions for the dataset.


Notes This is the first public archival release of the CICV5G dataset for research on 5G vehicle-to-network-to-vehicle (V2N2V) communication delay in cloud-based intelligent connected vehicles.The dataset includes high-frequency, real-world delay measurements and synchronized vehicle-network indicators.Complete documentation and reproduction instructions are available in the README.md.
DOI: 10.15468/dl.mtdhxx
title: Occurrence Download

description: A dataset containing 129 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Syringa patula venosa"
 ]
}

 The dataset includes 129 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006559-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/eqhuvn
title: Données de la quête INPN Espèces : Suivi de l'invasion du Frelon asiatique.

description: Le MNHN réalise le suivi de l’invasion du frelon asiatique depuis 2006. Cette quête permet de suivre l’évolution de l’invasion en France (progression et densités), d’acquérir des données écologiques et de phénologie ainsi que d’aider à la détection précoce de l’espèce là où elle est encore absente. Elle permet également d'aider à la détection d’autres espèces de frelons non encore présente en France et notamment au suivi de l'implantation du Frelon oriental.

Le Frelon asiatique se distingue du Frelon d'Europe par sa taille plus petite et par sa coloration plus sombre. Les individus se caractérisent notamment par leur couleur noire / brune, un anneau orange sur l'abdomen et leurs pattes jaunes. Les nids, de couleur beige, en forme de poire et mesurant 60 cm de diamètre environ, sont généralement accrochés à plus de 10 mètres de haut.

Le Frelon oriental est de taille similaire au Frelon d'Europe. Les insectes se caractérisent par leur couleur rousse avec un anneau jaune citron sur l'abdomen. Les nids sont installés dans des cavités.

Pour une destruction de nid, adressez-vous directement à votre mairie qui sera mieux à même de vous réorienter vers l’organisme local de lutte.

Pour plus d'informations : http://frelonasiatique.mnhn.fr/
DOI: 10.15468/nradch
title: Observations opportunistes de flore vasculaire, bryophytes, champignons et lichens-Observations opportunistes Flore, Fonge et Bryophytes des salariés et bénévoles de l'association Nature Comminges en Midi-Pyrénées

description: Observations opportunistes Flore, Fonge et Bryophytes des salariés et bénévoles de l'association Nature Comminges en Midi-Pyrénées
DOI: 10.34810/data2619
title: Replication data for Fear of the bear? Rewilding, rural agencies and politics in two documentaries in Trentino and the Pyrenees

description: Tab with data codes about the coverage of the bear in two dailies
Graphics about the coverage of two media outlets of the issue of the bear reintroduction in the territories of Trentino (Italy) and Catalonia (Spain) (n=133)
DOI: 10.15468/thwexz
title: Historic Butterfly Specimens in the UVM Entomology Research Laboratory Collection Digitized for the Vermont Butterfly Atlas

description: From 2002 to 2007 volunteer butterfly enthusiasts spent thousands of hours in the field in an effort to record the status and distribution of Vermont butterflies, the first systematic statewide butterfly atlas to be undertaken. As part of this atlas, historic records were digitized from regional collections. In 2004, we examined and digitized all of the butterflies and giant silk moths in the UVM Entomology Research Laboratory Collection for this effort.
DOI: 10.15468/aj4st9
title: Valorisation de la photothèque de la Cellule de Suivi du Littoral Normand-Occurrences d'espèces des habitats littoraux marins et estuariens de Normandie.

description: Le jeu de donnée correspond au métadonnées autour du tri et de l'identifications des photographie de la bibliothèque de la Cellule de Suivi du Littoral Normand fait en majeur partie par des bénévoles avec une validation des déterminations réalisées par des spécialistes taxonomique de la CSLN. Les photographies datent de 2000 à 2019 avec la réalisation de nouvelles prises de vue pour augmenter le nombre d'espèces.
DOI: 10.15468/dl.j3rxsh
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Viola woosanensis"
 ]
}

 The dataset includes 69 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006562-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjkbgf
title: Occurrence Download

description: A dataset containing 529 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Soldanella villosa"
 ]
}

 The dataset includes 529 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006561-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/6rhvn3
title: CardObs : Observations naturalistes issues de l'outil CardObs-Inventaires faunistiques et floristiques dans le cadre d’un atlas de biodiversité communal sur 22 communes du PNR-FO Marché 2021-9 Lot 2 : Études des mollusques

description: Inventaires des Mollusques continentaux dans le cadre d’un atlas de biodiversité communal sur 22 communes du PNR Forêt d'Orient
DOI: 10.15468/k5mh89
title: Hotspots de biodiversité en Nouvelle-Aquitaine-Données issues du logiciel "Faune Charente-Maritime"

description: Les cartes de répartition utilisées dans le cadre du projet Hotspots ont été produites à partir de 14 millions de données d'observations (faune et flore) collectées par les naturalistes régionaux, que ce soit dans le cadre d’échantillonnages systématiques ou dans le cadre de programmes de sciences participatives.

Ces données d'observations ont été compilées en conservant uniquement, pour chaque espèce, la donnée la plus récente par maille de 1x1km. 
Dans l'échantillon obtenu, les seules informations attributaires conservées sont l'espèce, l'année d'observation et la localisation dégradée à la maille 1x1km.

Ce jeu de donnée comprend les données issues de cet échantillon dont les données sources proviennent du logiciel "Faune Charente-Maritime"