cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17733182
title: Solar–EV Logistics Energy Dataset

description: This dataset contains a rich multi-modal collection of hourly solar-energy, microgrid, battery-storage, and electric-vehicle (EV) charging measurements obtained from the Royal Berkshire Smart Hospital Network (UK). The data is publicly available via the Zenodo Open Research Repository and was originally produced as part of the hospital group’s smart energy and mobility modernization program. It provides an authentic view of how large healthcare facilities operate under both grid-connected and off-grid conditions while integrating renewable energy, storage assets, and electric logistics fleets.

The dataset spans the period January 2021 to August 2025, with all systems—rooftop photovoltaic arrays, microgrid controllers, battery storage banks, and EV charging stations—recording synchronized telemetry at hourly intervals. These measurements reflect genuine variability caused by weather dynamics, seasonal changes, transformer loading, EV charging patterns, and operational fluctuations within the logistics and facility-management environment. Additional data is sourced from nearby logistics depots associated with the hospital’s transport and delivery operations, providing a combined view of medical logistics and renewable-energy scheduling.

To ensure privacy and regulatory compliance, all personal or identifiable information was removed prior to publication, and only aggregated operational statistics were retained. The dataset therefore offers a secure, ethical, and research-ready foundation for developing forecasting models, demand-response controllers, grid-aware EV-charging strategies, and data-driven optimization frameworks.

The dataset includes six major feature groups:





Solar and weather conditions: irradiance components, temperature measurements, wind parameters, humidity, cloud cover, and solar geometry.




PV and battery system indicators: state-of-charge (SOC), state-of-health (SOH), module temperature, genset activity, and stored-energy behavior.




Grid and market signals: day-ahead and real-time price fluctuations, transformer utilization, voltage levels, and frequency deviations.




EV charging and fleet dynamics: arrival and departure events, requested energy, charger limits, connector type, route information, payload mass, and charging priorities.




Logistics and operational context: hub type, parcel activity, delivery windows, vehicle category, shift type, and facility load demand.




Temporal descriptors: hour of day, weekday index, month, seasonal grouping, and holiday flags.



These comprehensive attributes make the dataset highly suitable for research in solar forecasting, microgrid optimization, predictive maintenance, EV charging coordination, operational analytics, and intelligent energy-management systems within modern industrial and healthcare environments.
DOI: 10.5281/zenodo.17733181
title: Solar–EV Logistics Energy Dataset

description: This dataset contains a rich multi-modal collection of hourly solar-energy, microgrid, battery-storage, and electric-vehicle (EV) charging measurements obtained from the Royal Berkshire Smart Hospital Network (UK). The data is publicly available via the Zenodo Open Research Repository and was originally produced as part of the hospital group’s smart energy and mobility modernization program. It provides an authentic view of how large healthcare facilities operate under both grid-connected and off-grid conditions while integrating renewable energy, storage assets, and electric logistics fleets.

The dataset spans the period January 2021 to August 2025, with all systems—rooftop photovoltaic arrays, microgrid controllers, battery storage banks, and EV charging stations—recording synchronized telemetry at hourly intervals. These measurements reflect genuine variability caused by weather dynamics, seasonal changes, transformer loading, EV charging patterns, and operational fluctuations within the logistics and facility-management environment. Additional data is sourced from nearby logistics depots associated with the hospital’s transport and delivery operations, providing a combined view of medical logistics and renewable-energy scheduling.

To ensure privacy and regulatory compliance, all personal or identifiable information was removed prior to publication, and only aggregated operational statistics were retained. The dataset therefore offers a secure, ethical, and research-ready foundation for developing forecasting models, demand-response controllers, grid-aware EV-charging strategies, and data-driven optimization frameworks.

The dataset includes six major feature groups:





Solar and weather conditions: irradiance components, temperature measurements, wind parameters, humidity, cloud cover, and solar geometry.




PV and battery system indicators: state-of-charge (SOC), state-of-health (SOH), module temperature, genset activity, and stored-energy behavior.




Grid and market signals: day-ahead and real-time price fluctuations, transformer utilization, voltage levels, and frequency deviations.




EV charging and fleet dynamics: arrival and departure events, requested energy, charger limits, connector type, route information, payload mass, and charging priorities.




Logistics and operational context: hub type, parcel activity, delivery windows, vehicle category, shift type, and facility load demand.




Temporal descriptors: hour of day, weekday index, month, seasonal grouping, and holiday flags.



These comprehensive attributes make the dataset highly suitable for research in solar forecasting, microgrid optimization, predictive maintenance, EV charging coordination, operational analytics, and intelligent energy-management systems within modern industrial and healthcare environments.
DOI: 10.15468/dl.rckx2n
title: Occurrence Download

description: A dataset containing 176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Miniopterus fuliginosus",
 "Year 1970-2024"
 ]
}

 The dataset includes 176 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011449-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1285/i15910725v47p161
title: Indice
DOI: 10.17026/dans-z85-2snr
title: Sporen uit de Late Middeleeuwen en Nieuwe tijd rondom de Princenhoeve bij het Liesbosch
title: Een Inventariserend Veldonderzoek in de Groene Schakel tussen Breda en Etten-Leur

description: &lt;p&gt;Archeologisch Onderzoek Leiden bv heeft in het voorjaar van 2008 in opdracht van de gemeente Etten-Leur een inventariserend proefsleuvenonderzoek verricht binnen delen van plangebied ‘de Groene Schakel’ tussen Etten-Leur en Breda. Aanleiding van dit onderzoek zijn de plannen om deze delen te ontwikkelen tot natuurgebied.&lt;/p&gt;&lt;p&gt;Gezien de (hoge) dekzandruggen en esdekken in het plangebied gold vooraf een middelhoge tot hoge archeologische verwachting van vindplaatsen uit de prehistorie, Romeinse tijd en Middeleeuwen. Het proefsleuvenonderzoek heeft inmiddels uitgewezen dat deze verwachting naar beneden bijgesteld dient te worden. In de proefsleuven is immers slechts een aantal sloot- en kuilsporen uit de periode Late Middeleeuwen – Nieuwe tijd in een smalle zone rondom de - nog aanwezige bebouwing van de - Prinsenhoeve aangetoond. De rest van de onderzochte delen blijkt, getuige een aantal verkavelingssloten, in deze periode als buitengebied in gebruik te zijn geweest.&lt;br&gt;Bewoningsporen uit de vooraf verwachte prehistorie en Romeinse tijd blijken in de onderzochte delen van het plangebied geheel te ontbreken. In percelen ten zuiden van de Prinsendreef zouden afgravingen uit de vorige eeuw deze afwezigheid van sporen kunnen verklaren. In de rest van de onderzochte percelen blijkt het sporenniveau echter grotendeels nog redelijk bewaard. De afwezigheid van bewoningssporen lijkt er dan ook eerder op te wijzen dat deze terreinen in het verre verleden niet in aanmerking kwamen als potentieel woongebied. Wellicht waren in de omgeving gebieden met een gunstigere landschappelijk ligging te vinden.&lt;/p&gt;
description: &lt;p&gt;Een Inventariserend Veldonderzoek in de Groene Schakel tussen Breda en Etten-Leur&lt;/p&gt;
description: Date Copyrighted: 2008
description: Date Submitted: 2010-01-06
DOI: 10.34740/kaggle/dsv/13892267
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.21227/4ekn-j616
title: "MOE-DIA Experimental Results Data"

description: "Experimental results using training and testing data from mass spectrometry datasets such as HeLa and Mouse."
DOI: 10.15468/dl.rkbe5x
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Theloderma palliatum"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011450-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmmtym
title: Occurrence Download

description: A dataset containing 588 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Potamogeton bicupulatus"
 ]
}

 The dataset includes 588 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011451-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/52cgh2
title: Checklist of Vascular Plants of the Important Plant Area “Chu-Ili Landscapes” (IPA-KZ-IS)

description: This checklist documents the vascular
plant diversity of the <b>Important Plant
Area (IPA) “Chu-Ili Landscapes”</b> (IPA-KZ-IS), located in Almaty Region,
Kazakhstan. The site harbours exceptional floristic richness, including up to
95% of the global population of the paleoendemic Incarvillea semiretschenskia, as well as the narrow endemic Tulipa regelii and several nationally rare species (Astragalus pseudocytisoides, Phlomoides septentrionalis, Scutellaria titovii, Iris
kuschakewiczii).

The dataset supports conservation
planning, KBA/IPA designation, Red List assessments, and biodiversity
monitoring. It integrates field surveys (2023–2025), herbarium records,
iNaturalist/GBIF observations, and published floristic sources.
<b>

Note on checklist reliability
</b>
The current species list for the Chu-Ili
Landscapes (2023–2025) has undergone critical taxonomic revision regarding synonymy,
nomenclature, and distribution. Uncertain records were excluded. The resulting
checklist, published in GBIF, should be considered <b>provisional</b>. The authors emphasize that it will be updated and
refined as new herbarium specimens and verified photographic observations
become available.

Content: 223 vascular plant
species confirmed (2023–2025), including 15 endemic, nationally rare, and
socially valuable taxa.
DOI: 10.6084/m9.figshare.30706547
title: Dataset for "Multimethod Estimation of Suspended Sediment Retention Efficiency of a Shallow, Vegetated Reservoir: A Case Study of Lake Tisza, Hungary"

description: This is the dataset used for the sediment retention efficiency estimation of Lake Tisza (Hungary). It consist ofhydrological time seriessuspended sediment concentration (SSC) dataremote sensing-based SSC profilesdigital elevation modelsdata syncing and analysis scripts.The related study "<b>Multimethod Estimation of Suspended Sediment Retention Efficiency of a Shallow, Vegetated Reservoir: A Case Study of Lake Tisza, Hungary</b>" is under submitted to <i>Water Resources Research</i><br>
DOI: 10.6084/m9.figshare.30706547.v1
title: Dataset for "Multimethod Estimation of Suspended Sediment Retention Efficiency of a Shallow, Vegetated Reservoir: A Case Study of Lake Tisza, Hungary"

description: This is the dataset used for the sediment retention efficiency estimation of Lake Tisza (Hungary). It consist ofhydrological time seriessuspended sediment concentration (SSC) dataremote sensing-based SSC profilesdigital elevation modelsdata syncing and analysis scripts.The related study "<b>Multimethod Estimation of Suspended Sediment Retention Efficiency of a Shallow, Vegetated Reservoir: A Case Study of Lake Tisza, Hungary</b>" is under submitted to <i>Water Resources Research</i><br>
DOI: 10.15468/dl.gruh84
title: Occurrence Download

description: A dataset containing 251249 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'CN'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 251249 records were derived from 3864 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011444-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6vyx6
title: Occurrence Download

description: A dataset containing 28122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dryophytes cinereus (Schneider, 1799))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 28122 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068615-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8rpun
title: Occurrence Download

description: A dataset containing 609 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-26.80241 -7.89306,29.35198 -7.89306,29.35198 14.60694,-26.80241 14.60694,-26.80241 -7.89306))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Galeorhinus galeus (Linnaeus, 1758)"
 ]
}

 The dataset includes 609 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069029-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewt3q4
title: Occurrence Download

description: A dataset containing 1327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Litoria meiriana (Tyler, 1969))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1327 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068689-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dyets9
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salmo pallaryi Pellegrin, 1924"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0337828-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qf36rd
title: Occurrence Download

description: A dataset containing 16498 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Orcinus orca (Linnaeus, 1758))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16498 records from 318 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068678-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gk8nnp
title: Occurrence Download

description: A dataset containing 3633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Russula velenovskyi Melzer & Zvára)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 3633 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0252097-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqqghm
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Espadarana audax (Lynch & Duellman, 1973))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 104 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068677-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9hb7ze
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample"
 ]
 },
 "Continent is South America",
 "Country is Chile",
 "OccurrenceStatus is Present",
 "TaxonKey is Eubalaena australis (Desmoulins, 1822)"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0383840-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mmu5f
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aspidogyne rotundifolia (Ormerod) Ormerod"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068674-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ngswq3
title: Occurrence Download

description: A dataset containing 1614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Leucos aula (Bonaparte, 1841))",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 1614 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0252115-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxzuap
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FUNGID Fungi dataset"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010000-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.