cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18788299
title: Dataset of Low-Resolution Thermal Images for Water Stress Classification in Blueberry
title: Conjunto de Datos de Imágenes Térmicas de Baja Resolución para Clasificación de Estrés Hídrico en Arándano

description: This dataset contains raw environmental data and low-resolution thermal images (32x24 pixels) captured using an MLX90640 sensor. It was built to train a Multilayer Perceptron (MLP) neural network capable of classifying water stress in 'Biloxi' blueberry plants (Vaccinium corymbosum L.). The data was collected over 55 continuous days (June - July 2025) inside a micro-greenhouse in Cundinamarca, Colombia, utilizing a custom low-cost IoT architecture based on an ESP32 microcontroller.The repository includes the original tabular data (thermal matrices and environmental variables) and the Python script used to calculate the empirical Crop Water Stress Index (CWSI), which establishes the baseline to label the images into two categories: "healthy" (recovery phase) and "stressed" (water deficit phase).

 
description: Este conjunto de datos contiene información ambiental cruda e imágenes térmicas de baja resolución (32x24 píxeles) capturadas con un sensor MLX90640. Fue construido para entrenar una Red Neuronal Multicapa (MLP) capaz de clasificar el estrés hídrico en plantas de arándano 'Biloxi' (Vaccinium corymbosum L.). Los datos fueron recolectados durante 55 días continuos (junio - julio de 2025) dentro de un microinvernadero en Cundinamarca, Colombia, utilizando una arquitectura IoT de bajo costo basada en un microcontrolador ESP32.El repositorio incluye los datos tabulares originales (matrices térmicas y variables ambientales) y el script de Python utilizado para calcular el Índice de Estrés Hídrico del Cultivo (CWSI) empírico, el cual establece la línea base para etiquetar las imágenes en dos categorías: "sana" (fase de recuperación) y "estresada" (fase de déficit hídrico).
DOI: 10.5281/zenodo.18788298
title: Dataset of Low-Resolution Thermal Images for Water Stress Classification in Blueberry
title: Conjunto de Datos de Imágenes Térmicas de Baja Resolución para Clasificación de Estrés Hídrico en Arándano

description: This dataset contains raw environmental data and low-resolution thermal images (32x24 pixels) captured using an MLX90640 sensor. It was built to train a Multilayer Perceptron (MLP) neural network capable of classifying water stress in 'Biloxi' blueberry plants (Vaccinium corymbosum L.). The data was collected over 55 continuous days (June - July 2025) inside a micro-greenhouse in Cundinamarca, Colombia, utilizing a custom low-cost IoT architecture based on an ESP32 microcontroller.The repository includes the original tabular data (thermal matrices and environmental variables) and the Python script used to calculate the empirical Crop Water Stress Index (CWSI), which establishes the baseline to label the images into two categories: "healthy" (recovery phase) and "stressed" (water deficit phase).

 
description: Este conjunto de datos contiene información ambiental cruda e imágenes térmicas de baja resolución (32x24 píxeles) capturadas con un sensor MLX90640. Fue construido para entrenar una Red Neuronal Multicapa (MLP) capaz de clasificar el estrés hídrico en plantas de arándano 'Biloxi' (Vaccinium corymbosum L.). Los datos fueron recolectados durante 55 días continuos (junio - julio de 2025) dentro de un microinvernadero en Cundinamarca, Colombia, utilizando una arquitectura IoT de bajo costo basada en un microcontrolador ESP32.El repositorio incluye los datos tabulares originales (matrices térmicas y variables ambientales) y el script de Python utilizado para calcular el Índice de Estrés Hídrico del Cultivo (CWSI) empírico, el cual establece la línea base para etiquetar las imágenes en dos categorías: "sana" (fase de recuperación) y "estresada" (fase de déficit hídrico).
DOI: 10.25549/pcra-ouc11399c1gs
title: UETS: Periodicals

description: The purpose of this archive is to publish source materials connected with history of the Pentecostal Movement. In terms of geography the archive embraces territory of the former Soviet Union in the second half of the 20th century. In terms of time given material embraces period from 1919 to 2009. The material is conditionally divided into four historic parts. There are pictures of the congresses and families which directly took part in spreading and formation of the Pentecostal Movement. It is also worth mentioning that there are periodical issues, records of meetings and congresses, doctrines of the Movement disclosing its social, theological and political features.
DOI: 10.25549/pcra-ouc11399c1gm
title: UETS: Periodicals

description: The purpose of this archive is to publish source materials connected with history of the Pentecostal Movement. In terms of geography the archive embraces territory of the former Soviet Union in the second half of the 20th century. In terms of time given material embraces period from 1919 to 2009. The material is conditionally divided into four historic parts. There are pictures of the congresses and families which directly took part in spreading and formation of the Pentecostal Movement. It is also worth mentioning that there are periodical issues, records of meetings and congresses, doctrines of the Movement disclosing its social, theological and political features.
DOI: 10.15468/dl.kxxrs2
title: Occurrence Download

description: A dataset containing 289126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cracidae",
 "Year 1000-2025"
 ]
}

 The dataset includes 289126 records from 609 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003890-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17572693
title: Collection of algal photos collected by the @lgawarning platform - algal bloom participatory environmental monitoring system

description: The @lgawarning platform aims to collect environmental monitoring system for algal blooms, enabling users to transmit reports on the anomalous presence of microalgae in aquatic environments directly from the observation site Full metadata: https://erddap.s4raise.it/erddap/info/algawarning/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.5281/zenodo.17572694
title: Collection of algal photos collected by the @lgawarning platform - algal bloom participatory environmental monitoring system

description: The @lgawarning platform aims to collect environmental monitoring system for algal blooms, enabling users to transmit reports on the anomalous presence of microalgae in aquatic environments directly from the observation site Full metadata: https://erddap.s4raise.it/erddap/info/algawarning/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.15468/dl.ak5jdq
title: Occurrence Download

description: A dataset containing 457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Abies pinsapo"
 ]
}

 The dataset includes 457 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025078-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ea863w
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Fritillaria taipaiensis",
 "Year 1900-2025"
 ]
}

 The dataset includes 17 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025081-251025141854904/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.30137563.v8
title: jawm data

description: Input data for testing jawm workflows.
DOI: 10.15468/dl.kc44wc
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Soehrensia strigosa"
 ]
}

 The dataset includes 213 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025082-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26143/ganil-2021-t21-03
title: Test of the new INDRA electronics
title: t21-03

description: This was a first test of a new acquisition electronics for INDRA, using Mesytec VME digitizers. Only a few detectors & telescopes (32 CsI, of which 16 were part of Si-CsI telescopes) were used to record products of reactions between 36Ar (95 MeV/u) projectiles and natSn targets.
description: Detector: INDRA + FAZIA (8 blocks)
description: projectileIsotope: 36Ar; projectileChargeState: 10+; projectileBeamEnergy: 95; projectileBeamEnergyUnit: MeV/u; projectileParticle: Ion; projectileAverageBeamIntensity: 3.3e+7; projectileBeamIntensityUnit: pps; projectilePercentage: 100; projectileBeamType: Stable; projectileAcceleratorType: Cyclotrons
description: targetIsotopes: natSn; targetIsotopePercentage: 100; targetSamplePhase: Solid; targetType: Isotope; targetTargetThicknessValue: 1.03; targetTargetThicknessUnit: mg/cm2; targetDensity: ; targetDensityUnit: ;
description: reactionName: 36Ar (95 MeV/u) + natSn (1.03 mg/cm2); projectileIsotope: 36Ar; projectileChargeState: 10+; projectileBeamEnergy: 95; projectileBeamEnergyUnit: MeV/u; projectileParticle: Ion; projectileBeamType: Stable; projectileAcceleratorType: Cyclotrons; targetIsotopes: natSn; targetIsotopePercentage: 100; targetSamplePhase: Solid; targetType: Isotope; targetTargetThicknessValue: 1.03; targetTargetThicknessUnit: mg/cm2; targetDensity: ; targetDensityUnit: ;
DOI: 10.5281/zenodo.17572699
title: Collection of plastic litter photos collected by the Custodians Earth Solution Platform (CESP)

description: The Custodians Earth Solution Platform (CESP) app collects photographic reports of plastic litter as part of a BioDesign Foundation initiative to support environmental cleanup efforts. Developed under the RAISE program and tested in real-world operations, CESP enables the acquisition of georeferenced data that are processed to produce maps illustrating the presence and spatial distribution of plastic litter in urban environments. Full metadata: https://erddap.s4raise.it/erddap/info/cesp/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.5281/zenodo.17572700
title: Collection of plastic litter photos collected by the Custodians Earth Solution Platform (CESP)

description: The Custodians Earth Solution Platform (CESP) app collects photographic reports of plastic litter as part of a BioDesign Foundation initiative to support environmental cleanup efforts. Developed under the RAISE program and tested in real-world operations, CESP enables the acquisition of georeferenced data that are processed to produce maps illustrating the presence and spatial distribution of plastic litter in urban environments. Full metadata: https://erddap.s4raise.it/erddap/info/cesp/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.5281/zenodo.17572701
title: Temperature data collected during Citizen Science activities using EnvLogger sensor (0457 9200 461D 0D)

description: EnvLogger is a miniaturised temperature logger to support marine environmental research. Data is downloaded by a mobile app and RAISE developed the data processing pipeline and its automation Full metadata: https://erddap.s4raise.it/erddap/info/envlogger_0457_9200_461D_0D/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.5281/zenodo.17572702
title: Temperature data collected during Citizen Science activities using EnvLogger sensor (0457 9200 461D 0D)

description: EnvLogger is a miniaturised temperature logger to support marine environmental research. Data is downloaded by a mobile app and RAISE developed the data processing pipeline and its automation Full metadata: https://erddap.s4raise.it/erddap/info/envlogger_0457_9200_461D_0D/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.5281/zenodo.17572705
title: Temperature data collected during Citizen Science activities using EnvLogger sensor (0475 3A00 FF2D 05)

description: EnvLogger is a miniaturised temperature logger to support marine environmental research. Data is downloaded by a mobile app and RAISE developed the data processing pipeline and its automation Full metadata: https://erddap.s4raise.it/erddap/info/envlogger_0475_3A00_FF2D_05/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.5281/zenodo.17572706
title: Temperature data collected during Citizen Science activities using EnvLogger sensor (0475 3A00 FF2D 05)

description: EnvLogger is a miniaturised temperature logger to support marine environmental research. Data is downloaded by a mobile app and RAISE developed the data processing pipeline and its automation Full metadata: https://erddap.s4raise.it/erddap/info/envlogger_0475_3A00_FF2D_05/index.htmlThis dataset is part of the RAISE Spoke 3 project outcomes. RAISE is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5).
DOI: 10.6084/m9.figshare.30042088
title: <i>Borrelia burgdorferi</i> within a collagen bundle

description: Ear, 7x7x60nm, raw tiffs. The details are provided in the <i>Materials and Methods</i> section of the paper <i>Targeted volume imaging reveals early vascular interactions of Lyme disease pathogen in skin</i>. The article, authored by Martin Strnad, Jiří Týč, František Kitzberger, Jana Kopecká, Ryan O. M. Rego, and Marie Vancová, is published in <i>Nature Communications</i>.
DOI: 10.6084/m9.figshare.30042088.v1
title: <i>Borrelia burgdorferi</i> within a collagen bundle

description: Ear, 7x7x60nm, raw tiffs. The details are provided in the <i>Materials and Methods</i> section of the paper <i>Targeted volume imaging reveals early vascular interactions of Lyme disease pathogen in skin</i>. The article, authored by Martin Strnad, Jiří Týč, František Kitzberger, Jana Kopecká, Ryan O. M. Rego, and Marie Vancová, is published in <i>Nature Communications</i>.
DOI: 10.14286/ayf2oh
title: Survival of sockeye salmon migrating past Haida Gwaii

description: This is the OBIS extraction of the Ocean Tracking Network and Department of Fisheries and Oceans Canada (DFO) HGSS, consisting of the release tagging metadata, i.e. the location and date when the tagged animal was released, and summarized detection events of tagged individuals.
 If readers are interested in the source dataset they may also inquire with the project PIs as listed here or on the OTN web site (https://members.oceantrack.org/project?ccode=NEP.HGSS).
 Abstract:Fraser River sockeye salmon productivity has declined over recent decades and elevated marine mortality rates due to predation are one hypothesized driver. We are deploying acoustic tags on adult sockeye salmon near Haida Gwaii as they undergo their return migration to the Fraser River. Detections data will be used to estimate cumulative survival rates to freshwater as well as stage-specific survival during marine migrations.
DOI: 10.15468/dl.dn7ukc
title: Occurrence Download

description: A dataset containing 6360 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphlyctis cyanophlyctis"
 ]
}

 The dataset includes 6360 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025083-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7w42zd
title: Occurrence Download

description: A dataset containing 451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.49572 -13.91101,-74.04097 -13.91101,-74.04097 -13.53811,-74.49572 -13.53811,-74.49572 -13.91101))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 451 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025087-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnaq9d
title: Occurrence Download

description: A dataset containing 3070 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solidago decurrens"
 ]
}

 The dataset includes 3070 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025085-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9rj9r8
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is 2cd829bb-b713-433d-99cf-64bef11e5b3e",
 "TaxonKey is Dendrelaphis"
 ]
}

 The dataset includes 99 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025088-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxz6ev
title: Occurrence Download

description: A dataset containing 353 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Vulpes vulpes necator"
 ]
}

 The dataset includes 353 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025086-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e6drvb
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Soehrensia tarijensis tarijensis"
 ]
}

 The dataset includes 73 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025084-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahbryj
title: Occurrence Download

description: A dataset containing 72152 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudacris crucifer"
 ]
}

 The dataset includes 72152 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025055-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15472/kbyfsj
title: Colección Zoológica de la Universidad del Tolima (CZUT)- Mastozoología

description: La colección zoológica de la Universidad del Tolima se encuentra acreditada por el Instituto de Investigación de Recursos Biológicos Alexander von Humboldt, desde el año 2004, en la actualidad se encuentra actualizada para el periodo 2017-2019.
DOI: 10.5255/ukda-sn-8910-18
title: National Referral Mechanism and Duty to Notify Statistics, 2014-2025
title: NRM

description: &lt;p&gt;Modern slavery is a term that includes any form of human trafficking, slavery, servitude or forced labour, as set out in the Modern Slavery Act 2015. Potential victims of modern slavery in the UK that come to the attention of authorised ‘First Responder’ organisations are referred to the National Referral Mechanism (NRM). &lt;/p&gt;
&lt;p&gt;Adults (aged 18 or above) must consent to being referred to the NRM, whilst children under the age of 18 need not consent to being referred. As specified in section 52 of the Modern Slavery Act 2015, public authorities in England and Wales have a statutory duty to notify the Home Office when they come across potential victims of modern slavery ('Duty to Notify' (DtN)). This duty is discharged by either referring a child or consenting adult potential victim into the NRM, or by notifying the Home Office via the DtN process if an adult victim does not consent to enter the NRM.&lt;/p&gt;
&lt;p&gt;The Home Office publishes quarterly statistical bulletins and aggregated data breakdowns on the
&lt;a href="https://www.gov.uk/government/collections/national-referral-mechanism-statistics" target="_blank"&gt;
National Referral Mechanism&lt;/a&gt; webpage on the GOV.UK website regarding the number of potential victims referred each quarter. To allow stakeholders and first responders more flexibility in analysing this data for their own strategic and operational planning, the disaggregated, pseudonymised dataset used to create the aggregated published data is also available from the UK Data Service as 'safeguarded' data. (The UKDS data are available in SPSS, Stata, tab-delimited text and CSV formats.) &lt;/p&gt;
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;Latest edition information&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;For the 18th edition (November &lt;span&gt;2025), the data file was amended to include Quarter 3 2025 cases, and the Data Notes documentation file was also updated. &lt;/span&gt;&lt;/p&gt;
DOI: 10.15468/dl.xr4a5y
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Eriosyce bulbocalyx"
 ]
}

 The dataset includes 39 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025089-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13681240
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.21227/rjtw-jg54
title: "TSD"

description: "This dataset aims to provide support for studying the impact of shadows on object tracking algorithms."