cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.2908/sdg_13_31
title: Average CO2 emissions per km from new passenger cars
title: Moyenne des émissions de CO2 par kilomètre provenant de véhicules particuliers neufs
title: Durchschnittlicher CO2- Ausstoß pro km von neuen Personenkraftwagen

description: Der Indikator ist definiert als die durchschnittlichen CO2-Emissionen pro km neu registrierter Personenkraftwagen in einem bestimmten Jahr. Die gemeldeten Emissionen basieren auf der Typengenehmigung und können von den tatsächlichen CO2-Emissionen von Neufahrzeugen abweichen. Bei der Überwachung von Pkw und Nutzfahrzeugen werden die Emissionsdaten bis 2019 nach dem Protokoll „Neuer europäischer Fahrzyklus“ (NEFZ) erhoben; 2020 finden beide Protokolle, das NEFZ und das „weltweit harmonisierte Prüfverfahren für leichte Nutzfahrzeuge“ (WLTP) Anwendung und ab 2021 wird ausschließlich das WLTP-Protokoll verwendet. In dieser Tabelle werden ab 2020 gemeldete WLTP-Daten dargestellt; für den Zeitraum 2017-2019 wird ein Umrechnungsfaktor verwendet, der anhand der Daten aus dem Jahr 2020 in NEFZ und WLTP berechnet wird, um Daten in WLTP anzuzeigen; bis 2017 werden NEFZ-Daten angezeigt.
description: The indicator is defined as the average carbon dioxide (CO2) emissions per km by new passenger cars in a given year. The reported emissions are based on type-approval and can deviate from the actual CO2 emissions of new cars. In the monitoring for cars and vans, emissions data are reported using the ‘New European Driving Cycle’ (NEDC) protocol until 2019, using both protocols NEDC and the ‘Worldwide harmonized Light vehicles Test Procedure’ (WLTP) in 2020 and only WLTP protocol from 2021. In this table, from 2020, reported WLTP data are shown; for the period 2017-2019 a conversion factor, calculated using 2020 data in NEDC and WLTP, is used to show data in WLTP; before 2017, NEDC data are shown.
description: L’indicateur est défini comme la moyenne des émissions de dioxyde de carbone (CO2) par km des voitures particulières neuves au cours d’une année donnée. Les émissions de CO2 déclarées sont fondées sur le type de véhicule certifié ; les valeurs réelles peuvent en différer. Dans le cadre de la surveillance des voitures et des camionnettes, les données sur les émissions sont déclarées en utilisant le protocole du « nouveau cycle de conduite européen » (NEDC) jusqu’en 2019, en utilisant à la fois les protocoles NEDC et la « procédure d’essai mondiale harmonisée pour les véhicules légers » (WLTP) en 2020 et uniquement le protocole WLTP à partir de 2021. Dans ce tableau, à partir de 2020, les données WLTP déclarées sont présentées ; pour la période 2017-2019, un facteur de conversion, calculé à partir des données de 2020 dans NEDC et WLTP, est utilisé pour afficher les données dans WLTP ; avant 2017, les données NEDC sont affichées.
DOI: 10.15468/dl.nteqef
title: Occurrence Download

description: A dataset containing 260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Acourtia nana (A.Gray) Reveal & R.M.King",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 260 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010652-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dgjjz7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathytroctes microlepis Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((42.8012 -16.5547,42.4342 -16.6376,42.2188 -17.038,42.391 -17.4288,42.6657 -17.5533,43.0375 -17.4752,43.2579 -17.0968,43.0959 -16.69,42.8012 -16.5547))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010649-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.17655699
title: DT12_UC3_Riga's Public Transport Route list data_GTFS_EMERALDS

description: This dataset was used in Work Package 5: Use Cases Experimentation and Assessment Cycle, within UC3: Traffic Data Analytics for the Public Transportation System, as part of the EMERALDS project.

The dataset provides anonymised information about public transport route list data in GTFS txt file format in different time periods. The data set is one of the intermediate data sets to join the validation data set with the vehicle messages data set (GPS trajectories) to determine check-in location and populate validation data with the route and stop information for further data analysis and visualisation.
DOI: 10.5281/zenodo.17655700
title: DT12_UC3_Riga's Public Transport Route list data_GTFS_EMERALDS

description: This dataset was used in Work Package 5: Use Cases Experimentation and Assessment Cycle, within UC3: Traffic Data Analytics for the Public Transportation System, as part of the EMERALDS project.

The dataset provides anonymised information about public transport route list data in GTFS txt file format in different time periods. The data set is one of the intermediate data sets to join the validation data set with the vehicle messages data set (GPS trajectories) to determine check-in location and populate validation data with the route and stop information for further data analysis and visualisation.
DOI: 10.15468/dl.df45fj
title: Occurrence Download

description: A dataset containing 1222022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Country is Paraguay",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1222022 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005076-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.da37n8
title: Occurrence Download

description: A dataset containing 1274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Chile, Argentina)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Nothofagus pumilio"
 ]
}

 The dataset includes 1274 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005112-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbfdjc
title: Occurrence Download

description: A dataset containing 846 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Geochelone elegans"
 ]
}

 The dataset includes 846 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005111-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brf69s
title: Occurrence Download

description: A dataset containing 354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scaeurgus"
 ]
}

 The dataset includes 354 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005117-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fxt9t
title: Occurrence Download

description: A dataset containing 7562 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phaethornis bourcieri"
 ]
}

 The dataset includes 7562 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005114-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75v6ez
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Equus mexicanus"
 ]
}

 The dataset includes 97 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005118-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3dqtxe
title: Occurrence Download

description: A dataset containing 439 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Living Specimen)",
 "Geometry POLYGON((-77.71190 -41.34296,-63.64338 -41.34296,-63.64338 -35.71796,-77.71190 -35.71796,-77.71190 -41.34296))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Prumnopitys andina"
 ]
}

 The dataset includes 439 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005113-260120142942310/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.31042571
title: Magnetic field-assisted ECDM of SiC<sub>p</sub>/Al composites: process optimization and validation

description: Silicon carbide-reinforced aluminum matrix composites (SiC<sub>p</sub>/Al) are widely applied in aerospace and electronics for their excellent mechanical performance. However, conventional electrical discharge machining (EDM) of SiC<sub>p</sub>/Al suffers from severe electrode wear, poor surface integrity, and recast layer formation. To overcome these challenges, this study proposes magnetic field-assisted electrochemical discharge machining (MF-ECDM), replacing the MF-EDM dielectric fluid with a low-conductivity NaNO<sub>3</sub> solution. A single-factor experiment investigated how electrolyte conductivity influences machining behavior. Results revealed that increasing conductivity decreases material removal rate (MRR) and relative tool wear ratio (RTWR), but enlarges overcut (OC). Grey relational analysis with orthogonal experiments identified optimal parameters, achieving MRR of 16.75 mm<sup>3</sup>/min, and OC of 110 µm. Furthermore, a dual sacrificial layer technique was developed to improve small-hole machining by enhancing electrolyte-wall contact, reducing stray corrosion, and compensating for electrode wear. Under optimized conditions, MF-ECDM reduced tool wear by 25–27.71% and improved surface quality compared with EDM and MF-EDM, demonstrating potential for high-quality machining of ceramic-reinforced composites.
DOI: 10.6084/m9.figshare.31042571.v1
title: Magnetic field-assisted ECDM of SiC<sub>p</sub>/Al composites: process optimization and validation

description: Silicon carbide-reinforced aluminum matrix composites (SiC<sub>p</sub>/Al) are widely applied in aerospace and electronics for their excellent mechanical performance. However, conventional electrical discharge machining (EDM) of SiC<sub>p</sub>/Al suffers from severe electrode wear, poor surface integrity, and recast layer formation. To overcome these challenges, this study proposes magnetic field-assisted electrochemical discharge machining (MF-ECDM), replacing the MF-EDM dielectric fluid with a low-conductivity NaNO<sub>3</sub> solution. A single-factor experiment investigated how electrolyte conductivity influences machining behavior. Results revealed that increasing conductivity decreases material removal rate (MRR) and relative tool wear ratio (RTWR), but enlarges overcut (OC). Grey relational analysis with orthogonal experiments identified optimal parameters, achieving MRR of 16.75 mm<sup>3</sup>/min, and OC of 110 µm. Furthermore, a dual sacrificial layer technique was developed to improve small-hole machining by enhancing electrolyte-wall contact, reducing stray corrosion, and compensating for electrode wear. Under optimized conditions, MF-ECDM reduced tool wear by 25–27.71% and improved surface quality compared with EDM and MF-EDM, demonstrating potential for high-quality machining of ceramic-reinforced composites.
DOI: 10.34740/kaggle/dsv/14584704
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.znugz7
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Italy",
 "Geometry POLYGON((12.63 39.8,16.5 39.8,16.5 41.44,12.63 41.44,12.63 39.8))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus ilex"
 ]
}

 The dataset includes 511 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005120-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18342006
title: تعریف فضا در چارچوب سی آر وی دی

description: فضا یک بستر پیشفرض و ایستا نیست، بلکه نتیجه‌ای مستقیم از توزیع و تولید انرژی حجمی است( انرژی تاریک)
DOI: 10.5281/zenodo.18342007
title: تعریف فضا در چارچوب سی آر وی دی

description: فضا یک بستر پیشفرض و ایستا نیست، بلکه نتیجه‌ای مستقیم از توزیع و تولید انرژی حجمی است( انرژی تاریک)
DOI: 10.5281/zenodo.16318801
title: Reconstructed Chennai vehicle trajectory data

description: This dataset is a reconstructed version of the original Chennai vehicle trajectory dataset, which was collected on a six-lane divided urban arterial road in Chennai, India, and is representative of mixed traffic conditions. The original dataset is provided by Prof. Tomer Toledo and is available at: https://toledo.net.technion.ac.il/downloads/.

The original dataset was re-evaluated and reconstructed to ensure data quality and internal consistency. A Multi-Step Filtering (MF) method was applied to reduce measurement errors and improve the accuracy of key variables such as speed, acceleration, and inter-vehicle spacing. This refinement has resulted in a high-quality, reliable dataset suitable for microscopic traffic model calibration and validation in mixed traffic environments.

The reconstructed dataset has been utilized in the research titled "Modelling Driver Behaviour in Heterogeneous and Disordered Traffic Streams."
DOI: 10.5281/zenodo.18341896
title: Reconstructed Chennai vehicle trajectory data

description: This dataset is a reconstructed version of the original Chennai vehicle trajectory dataset, which was collected on a six-lane divided urban arterial road in Chennai, India, and is representative of mixed traffic conditions. The original dataset is provided by Prof. Tomer Toledo and is available at: https://toledo.net.technion.ac.il/downloads/.

The original dataset was re-evaluated and reconstructed to ensure data quality and internal consistency. A Multi-Step Filtering (MF) method was applied to reduce measurement errors and improve the accuracy of key variables such as speed, acceleration, and inter-vehicle spacing. This refinement has resulted in a high-quality, reliable dataset suitable for microscopic traffic model calibration and validation in mixed traffic environments.

The reconstructed dataset has been utilized in the research titled "Modelling Driver Behaviour in Heterogeneous and Disordered Traffic Streams."
DOI: 10.15468/dl.vg3fku
title: Occurrence Download

description: A dataset containing 123341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caladenia falcata, Caladenia roei, Thrixspermum congestum, Pterostylis recurva, Pterostylis vittata, Pterostylis sargentii, Pterostylis spathulata, Chiloschista phyllorhiza, Curculigo capitulata, Borya sphaerocephala, Remusatia vivipara, Nothofagus gunnii, Ximenia americana, Geranium solanderi, Pelargonium inodorum, Erodium cygnorum, Eleuthranthes liberiflora, Psychotria loniceroides, Psychotria coelospermum, Psychotria daphnoides, Solanum nummularium, Solanum hoplopetalum, Solanum oldfieldii, Viminaria juncea, Hardenbergia violacea, Gompholobium latifolium, Gompholobium confertum, Gompholobium knightianum, Gompholobium glabratum, Gompholobium marginatum, Gompholobium grandiflorum, Gompholobium gompholobioides, Gompholobium hendersonii, Gompholobium tomentosum, Gompholobium viscidulum, Gompholobium minus, Daviesia rhombifolia, Daviesia nematophylla, Daviesia preissii, Daviesia alata, Daviesia lancifolia, Daviesia incrassata, Daviesia abnormis, Pultenaea retusa, Pultenaea microphylla, Pultenaea polifolia, Pultenaea ferruginea, Pultenaea stipularis, Pultenaea flexilis, Pultenaea rosmarinifolia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 123341 records from 450 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004988-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pewnex
title: Occurrence Download

description: A dataset containing 3612 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "Issue" : [
 "is one of (Coordinate precision invalid, Coordinate uncertainty meters invalid)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is 2025",
 "GadmGid is one of (AUT.2.4_2)"
 ]
}

 The dataset includes 3612 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005123-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17656081
title: DT03_UC1_ Shared Mobility_DATE _EMERALDS

description: This dataset was used in WP5: Use Cases Experimentation and Assessment Cycles within UC1: Risk Assessment, Prediction, and Forecasting during Events in the EMERALDS project.

It provides access to a summary of preprocessing real-time shared mobility vehicle data via the Deelmobiliteit Dashboard. The dataset includes vehicle positions, statuses, and trip information for shared bikes, e-bikes, scooters, and other modes, serving as a proxy for visitor and mobility flows in the Scheveningen and The Hague area.
DOI: 10.5281/zenodo.17656082
title: DT03_UC1_ Shared Mobility_DATE _EMERALDS

description: This dataset was used in WP5: Use Cases Experimentation and Assessment Cycles within UC1: Risk Assessment, Prediction, and Forecasting during Events in the EMERALDS project.

It provides access to a summary of preprocessing real-time shared mobility vehicle data via the Deelmobiliteit Dashboard. The dataset includes vehicle positions, statuses, and trip information for shared bikes, e-bikes, scooters, and other modes, serving as a proxy for visitor and mobility flows in the Scheveningen and The Hague area.
DOI: 10.15468/dl.mc2d4j
title: Occurrence Download

description: A dataset containing 9439 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-127.08742 24.48974,-65.96913 24.48974,-65.96913 47.1849,-127.08742 47.1849,-127.08742 24.48974))",
 "TaxonKey is Trichonephila clavata"
 ]
}

 The dataset includes 9439 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005125-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17657947
title: DT04_UC1_ Weather Information_EMERALDS

description: This dataset was used in WP5: Use Cases Experimentation and Assessment Cycles within UC1: Risk Assessment, Prediction, and Forecasting during Events, as part of the EMERALDS project.

It includes hourly and daily weather observations for the Scheveningen area, obtained from the KNMI Open Data Platform. The data covers parameters such as temperature, precipitation rate, wind direction, windspeed, cloud cover, and chances of precipitation. The dataset supports EMERALDS UC1 by providing weather conditions that impact visitor behavior, event attendance, and crowd levels in Scheveningen.
DOI: 10.5281/zenodo.17657946
title: DT04_UC1_ Weather Information_EMERALDS

description: This dataset was used in WP5: Use Cases Experimentation and Assessment Cycles within UC1: Risk Assessment, Prediction, and Forecasting during Events, as part of the EMERALDS project.

It includes hourly and daily weather observations for the Scheveningen area, obtained from the KNMI Open Data Platform. The data covers parameters such as temperature, precipitation rate, wind direction, windspeed, cloud cover, and chances of precipitation. The dataset supports EMERALDS UC1 by providing weather conditions that impact visitor behavior, event attendance, and crowd levels in Scheveningen.
DOI: 10.34740/kaggle/dsv/14573666
title: SNAP Facebook Ego-Networks
DOI: 10.5281/zenodo.18342054
title: Měření - Export 22. 1. 2026

description: Měření zkouška
DOI: 10.5281/zenodo.18342053
title: Měření - Export 22. 1. 2026

description: Měření zkouška
DOI: 10.5281/zenodo.17655433
title: DT11_UC3_E-tickets validation data _EMERALDS

description: This dataset was used in Work Package 5: Use Cases Experimentation and Assessment Cycle, within UC3: Traffic Data Analytics for the Public Transportation System, as part of the EMERALDS project.

It contains e-ticket validation data, including timestamps, routes, directions, and other relevant details. The data was utilized for analytics and visualization with EMERALDS tools to generate insights aimed at promoting sustainable mobility in Riga, primarily by deriving key inferences for optimizing the public transport network.
DOI: 10.5281/zenodo.17655432
title: DT11_UC3_E-tickets validation data _EMERALDS

description: This dataset was used in Work Package 5: Use Cases Experimentation and Assessment Cycle, within UC3: Traffic Data Analytics for the Public Transportation System, as part of the EMERALDS project.

It contains e-ticket validation data, including timestamps, routes, directions, and other relevant details. The data was utilized for analytics and visualization with EMERALDS tools to generate insights aimed at promoting sustainable mobility in Riga, primarily by deriving key inferences for optimizing the public transport network.
DOI: 10.15468/dl.n78qpp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Alouatta palliata (Gray, 1849))",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015925-250525065834625/datasets/export for details.