cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18537747
title: SuperDARN data in netCDF format (2021-May)

description: 2021-May SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.7615437
title: SuperDARN data in netCDF format (2021-May)

description: 2021-May SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.18412207
title: 1.3. Potencia fotovoltaica instalada total en España (1996-2024)

description: Mapa de centroides municipales con la potencia operativa (kW) total por municipio desde 1996 hasta 2024. Descarga de datos (.xlsx/.shp)
DOI: 10.5281/zenodo.18412206
title: 1.3. Potencia fotovoltaica instalada total en España (1996-2024)

description: Mapa de centroides municipales con la potencia operativa (kW) total por municipio desde 1996 hasta 2024. Descarga de datos (.xlsx/.shp)
DOI: 10.15468/dl.7ag9k4
title: Occurrence Download

description: A dataset containing 22307 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 41.89415215079384
 AND decimallatitude &lt;= 46.479780028101516
 AND decimallongitude &gt;= 47.95259801890024
 AND decimallongitude &lt;= 56.64958282616588
 AND GBIF_Within('POLYGON ((56.649583 41.894152, 56.649583 46.479780, 47.952598 46.479780, 47.952598 41.894152, 56.649583 41.894152))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 22307 records were derived from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002309-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25826/data20260209-090013-0
title: Milk fatty acids in Germany

description: This dataset contains the detailed fatty acid composition of German retail milk. Whole milk samples with ‘best before’ dates ranging from January to December 2006 were collected biweekly from supermarkets. On each sampling date, three brands from both organic and conventional production were included. In total, the dataset comprises 80 conventional and 77 organic samples, thus covering variation due to both season and production system. Consequently, the dataset accurately reflects the average fatty acid composition of milk in Germany. These data were collected as part of a project to authenticate organic milk, and they represent a full calendar year.
description: Dieser Datensatz enthält die detaillierte Fettsäurezusammensetzung von Milch aus dem deutschen Einzelhandel. Alle zwei Wochen wurden Vollmilchproben mit Mindesthaltbarkeitsdaten von Januar bis Dezember 2006 aus Supermärkten entnommen. An jedem Probenahmedatum wurden drei Marken aus ökologischer und konventioneller Produktion berücksichtigt. Insgesamt umfasst der Datensatz 80 konventionelle und 77 ökologische Proben und deckt somit sowohl saisonale als auch produktionssystembedingte Schwankungen ab. Folglich spiegelt der Datensatz die durchschnittliche Fettsäurezusammensetzung von Milch in Deutschland genau wider. Diese Daten wurden im Rahmen eines Projekts zur Authentifizierung von Bio-Milch erhoben und repräsentieren ein volles Kalenderjahr.
DOI: 10.5281/zenodo.18412059
title: 1.2. Número de instalaciones fotovoltaicas nuevas cada año en España (1996-2024)

description: Mapa de centroides municipales con el número de instalaciones operativas de cada año por municipio desde 1996 hasta 2024. Descarga de datos (.xlsx/.shp)
DOI: 10.5281/zenodo.18412058
title: 1.2. Número de instalaciones fotovoltaicas nuevas cada año en España (1996-2024)

description: Mapa de centroides municipales con el número de instalaciones operativas de cada año por municipio desde 1996 hasta 2024. Descarga de datos (.xlsx/.shp)
DOI: 10.15468/dl.evbqs6
title: Occurrence Download

description: A dataset containing 179 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 Anticharis senegalensis"
 ]
}

 The dataset includes 179 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002320-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18412349
title: 1.4. Potencia fotovoltaica instalada nueva cada año en España (1996-2024)

description: Mapa de centroides municipales con la nueva potencia instalada (kW) de cada año por municipio desde 1996 hasta 2024. Descarga de datos (.xlsx/.shp)
DOI: 10.5281/zenodo.18412350
title: 1.4. Potencia fotovoltaica instalada nueva cada año en España (1996-2024)

description: Mapa de centroides municipales con la nueva potencia instalada (kW) de cada año por municipio desde 1996 hasta 2024. Descarga de datos (.xlsx/.shp)
DOI: 10.5281/zenodo.18413737
title: 1.5. Densidad de potencia fotovoltaica instalada total en España (1996-2024)

description: Mapa de calor realizado a partir de centroides municipales con radio de 30 Km y ancho de pixel de 1×1 km con la potencia operativa (kW) total por municipio desde 1996 hasta 2024. Descarga de datos (.tif)
DOI: 10.5281/zenodo.18413738
title: 1.5. Densidad de potencia fotovoltaica instalada total en España (1996-2024)

description: Mapa de calor realizado a partir de centroides municipales con radio de 30 Km y ancho de pixel de 1×1 km con la potencia operativa (kW) total por municipio desde 1996 hasta 2024. Descarga de datos (.tif)
DOI: 10.5281/zenodo.18413827
title: 1.6. Densidad de instalaciones fotovoltaicas por grupos de potencia en España (1996-2024)

description: Mapa de calor realizado a partir de centroides municipales con radio de 30 Km y ancho de pixel de 1×1 Km con el número de instalaciones operativas totales por municipio y por grupos de potencia desde 1996 hasta 2024. Se consideran los siguientes grupos de potencia:



0 - 5 kW (Kernel_N_ACU_0_5KW)

5 - 100 kW (Kernel_N_ACU_5_100KW)

100 kW - 1 MW (Kernel_N_ACU_100KW_1MW)

1 - 10 MW (Kernel_N_ACU_1_10MW)

10 - 50 MW (Kernel_N_ACU_10_50MW)

50 - 600 MW (Kernel_N_ACU_50_600MW)


Descarga de datos (.tif)
DOI: 10.5281/zenodo.18413828
title: 1.6. Densidad de instalaciones fotovoltaicas por grupos de potencia en España (1996-2024)

description: Mapa de calor realizado a partir de centroides municipales con radio de 30 Km y ancho de pixel de 1×1 Km con el número de instalaciones operativas totales por municipio y por grupos de potencia desde 1996 hasta 2024. Se consideran los siguientes grupos de potencia:



0 - 5 kW (Kernel_N_ACU_0_5KW)

5 - 100 kW (Kernel_N_ACU_5_100KW)

100 kW - 1 MW (Kernel_N_ACU_100KW_1MW)

1 - 10 MW (Kernel_N_ACU_1_10MW)

10 - 50 MW (Kernel_N_ACU_10_50MW)

50 - 600 MW (Kernel_N_ACU_50_600MW)


Descarga de datos (.tif)
DOI: 10.5281/zenodo.18414273
title: 1.7. Superficie ocupada (Ha) por instalaciones fotovoltaicas en España (1996-2024)

description: Mapa de superficie ocupada (Ha) por municipio a partir de la aplicación del Coeficiente Dinámico de Densidad de Potencia Instalada (CDDPI) desde 1996 hasta 2024. Más información sobre la metodología en el siguiente enlace. Descarga de datos (.xlsx/.shp)
DOI: 10.5281/zenodo.18414274
title: 1.7. Superficie ocupada (Ha) por instalaciones fotovoltaicas en España (1996-2024)

description: Mapa de superficie ocupada (Ha) por municipio a partir de la aplicación del Coeficiente Dinámico de Densidad de Potencia Instalada (CDDPI) desde 1996 hasta 2024. Más información sobre la metodología en el siguiente enlace. Descarga de datos (.xlsx/.shp)
DOI: 10.5281/zenodo.18414877
title: 2.1. Características de las instalaciones fotovoltaicas proyectadas en España (2014-2023)

description: Instalaciones fotovoltaicas sometidas a Evaluación de Impacto Ambinetal que han recibido Declaración de Impacto Ambinetal favorable publicada en el Boletín Oficial del Estado. De cada boletín se han extraido los sigueintes datos siempre que haya disponibilidad:



Fecha de publicación en el BOE

Fecha de resolución de la Declaración de Impacto Ambiental

Nombre de la instalación

Potencia instalada (MWp)

Potencia nominal (MWn)

Entidad promotora

Dirección URL de la Declaración de Impacto Ambiental

Superficie de la instalación (perímetro vallado)

Número de paneles

Potencia de panel (W)

Tipología de panel

Tipología de seguidor

Municipio de instalación

Comunidad Autónoma de instalación


Descarga de datos (.xlsx)
DOI: 10.5281/zenodo.18414878
title: 2.1. Características de las instalaciones fotovoltaicas proyectadas en España (2014-2023)

description: Instalaciones fotovoltaicas sometidas a Evaluación de Impacto Ambinetal que han recibido Declaración de Impacto Ambinetal favorable publicada en el Boletín Oficial del Estado. De cada boletín se han extraido los sigueintes datos siempre que haya disponibilidad:



Fecha de publicación en el BOE

Fecha de resolución de la Declaración de Impacto Ambiental

Nombre de la instalación

Potencia instalada (MWp)

Potencia nominal (MWn)

Entidad promotora

Dirección URL de la Declaración de Impacto Ambiental

Superficie de la instalación (perímetro vallado)

Número de paneles

Potencia de panel (W)

Tipología de panel

Tipología de seguidor

Municipio de instalación

Comunidad Autónoma de instalación


Descarga de datos (.xlsx)
DOI: 10.6084/m9.figshare.31292912
title: Behavioral and biomarker assessment of flavonols as multifunctional neuroprotective nootropic agents

description: This study aimed to evaluate the behavioral and biochemical effects of synthesized flavonols (<b>1-10</b>) as potential nootropic, antidepressant, and antistress agents. Behavioral assessments were conducted using animal models to evaluate memory impairment, depression, and stress responses. The cognitive effects of flavonols were analyzed using spontaneous alternation, discrimination ratio, and step-down latency tests, while antidepressant activity was determined through forced swim (FST) and tail suspension (TST) tests. All synthesized flavonols (<b>1-10</b>) significantly improved spontaneous alternation and discrimination ratios and increased step-down latency compared to the amnesic group. These compounds also markedly reduced immobility time in both FST and TST, indicating strong antidepressant-like effects. Biochemical analyses supported these behavioral outcomes by revealing enhanced cholinergic activity and reduced oxidative stress. Molecular docking studies against acetylcholinesterase (PDB IDs: 4EY7 & 6O4W) showed strong binding affinities, particularly for flavonol derivatives, through key hydrogen-bonding and π–π interactions. Flavonols (<b>1-10</b>) demonstrated significant behavioral, biochemical, and computational evidence of neuroprotection, suggesting their therapeutic potential in managing cognitive dysfunction, depression, and stress-related disorders.
DOI: 10.6084/m9.figshare.31292912.v1
title: Behavioral and biomarker assessment of flavonols as multifunctional neuroprotective nootropic agents

description: This study aimed to evaluate the behavioral and biochemical effects of synthesized flavonols (<b>1-10</b>) as potential nootropic, antidepressant, and antistress agents. Behavioral assessments were conducted using animal models to evaluate memory impairment, depression, and stress responses. The cognitive effects of flavonols were analyzed using spontaneous alternation, discrimination ratio, and step-down latency tests, while antidepressant activity was determined through forced swim (FST) and tail suspension (TST) tests. All synthesized flavonols (<b>1-10</b>) significantly improved spontaneous alternation and discrimination ratios and increased step-down latency compared to the amnesic group. These compounds also markedly reduced immobility time in both FST and TST, indicating strong antidepressant-like effects. Biochemical analyses supported these behavioral outcomes by revealing enhanced cholinergic activity and reduced oxidative stress. Molecular docking studies against acetylcholinesterase (PDB IDs: 4EY7 & 6O4W) showed strong binding affinities, particularly for flavonol derivatives, through key hydrogen-bonding and π–π interactions. Flavonols (<b>1-10</b>) demonstrated significant behavioral, biochemical, and computational evidence of neuroprotection, suggesting their therapeutic potential in managing cognitive dysfunction, depression, and stress-related disorders.
DOI: 10.15468/dl.4mmvgv
title: Occurrence Download

description: A dataset containing 179 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 Anticharis senegalensis"
 ]
}

 The dataset includes 179 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002323-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnxpry
title: Occurrence Download

description: A dataset containing 197607 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mesodinium",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 197607 records from 298 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002288-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18415985
title: 2.2. Número de instalaciones fotovoltaicas proyectadas totales en España (1996-2024)

description: Instalaciones fotovoltaicas sometidas a Evaluación de Impacto Ambiental con Declaración de Impacto Ambiental Favorable. Mapa de centroides municipales con el número de instalaciones operativas totales por municipio desde 2014 hasta 2023. Descarga de datos (.xlsx/.shp)
DOI: 10.5281/zenodo.18415986
title: 2.2. Número de instalaciones fotovoltaicas proyectadas totales en España (1996-2024)

description: Instalaciones fotovoltaicas sometidas a Evaluación de Impacto Ambiental con Declaración de Impacto Ambiental Favorable. Mapa de centroides municipales con el número de instalaciones operativas totales por municipio desde 2014 hasta 2023. Descarga de datos (.xlsx/.shp)
DOI: 10.21335/nmdc-1078190656
title: Physical and biogeochemical data collected by CTD in Masfjorden, Vestland, Norway during cruise GOS2025001014 in October, 2025.

description: The file contains temperature, practical salinity, oxygen, and depth measurements binned into 1 db pressure bins, collected using a Seabird SBE 11plus V 5.1e CTD and post-processed with the Seasoft software package during cruise GOS2025001014 in October 2025. Data were collected in Masfjorden and Fensfjorden, Vestland, Norway. Uncalibrated fluorescence, PAR, SPAR, and transmission data from the CTD are included, as are water sample data (Dissolved oxygen) collected during the cruise. The cruise was organized as a part of the course BIO325 at BIO, UIB. Data can be downloaded as one .nc file or three .txt file, where data in the .txt-files are separated into downcast (GOS2025001014_CTD.txt) and bottle (GOS2025001014_BTL.txt) data and where meta-data are provided in GOS2025001014_meta-data.txt.
DOI: 10.15468/dl.74y9zy
title: Occurrence Download

description: A dataset containing 1460163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus rotundifolia)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1460163 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002290-260208012135463/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.31292893
title: <b>Household perceptions on ecosystem services derived from seed oil plants in northern Botswana: implications for livelihoods and biodiesel production policies</b>

description: The study aimed at assessing the perceptions of households on the use of seed oil plants to determine the implications for biodiesel production. The study is framed on the concept of ecosystem services (ESSs) and its closely related concept of "nature contributions to people” (NCP). A conceptual framework on co-production of ESSs from seed oil plants was developed by the authors to explain how ESSs are co-produced from seed oil plants. The results of this study, based on a survey of a sample of 419 households, a literature review and informal interviews, reveal that different parts of seed-oil plants were used by households for different purposes. The results also suggest that households extracted vegetable oils from edible seed oil plants such as <i>Sclerocarya birrea</i> and <i>Schinziophyton rutanenii </i>and non-edible seed oil plants such as <i>Croton megalobotrys</i> and <i>Ricinus communis</i>. Edible seed oil plants provided rural households in the study areas with ESSs such as sustainable diets, human and veterinary medicinal and cosmetic care, leather treatment, and shade. Non-edible seed oil plants also provided ESSs such as herbal medicine for treatment and management of various ailments (including those associated with HIV/AIDS opportunistic infections), veterinary medicine and phytoremediation. <i>Jatropha curcas</i> was mainly used for ornamental purposes; its use for biodiesel and medicinal purposes was not mentioned by the households in the study areas, probably because the plant is exotic (it originated from Mexico and Central America). Seed oil plants such as <i>Croton megalobotrys</i>, <i>Ricinus communis</i> and J.<i> curcas</i> (which is already being tried) should be recommended as feedstocks for biodiesel production provided they are not invasive. Edible seed oil plants are not recommended for biodiesel production because this will be in conflict with the food versus fuel dilemma.
DOI: 10.6084/m9.figshare.31292893.v1
title: <b>Household perceptions on ecosystem services derived from seed oil plants in northern Botswana: implications for livelihoods and biodiesel production policies</b>

description: The study aimed at assessing the perceptions of households on the use of seed oil plants to determine the implications for biodiesel production. The study is framed on the concept of ecosystem services (ESSs) and its closely related concept of "nature contributions to people” (NCP). A conceptual framework on co-production of ESSs from seed oil plants was developed by the authors to explain how ESSs are co-produced from seed oil plants. The results of this study, based on a survey of a sample of 419 households, a literature review and informal interviews, reveal that different parts of seed-oil plants were used by households for different purposes. The results also suggest that households extracted vegetable oils from edible seed oil plants such as <i>Sclerocarya birrea</i> and <i>Schinziophyton rutanenii </i>and non-edible seed oil plants such as <i>Croton megalobotrys</i> and <i>Ricinus communis</i>. Edible seed oil plants provided rural households in the study areas with ESSs such as sustainable diets, human and veterinary medicinal and cosmetic care, leather treatment, and shade. Non-edible seed oil plants also provided ESSs such as herbal medicine for treatment and management of various ailments (including those associated with HIV/AIDS opportunistic infections), veterinary medicine and phytoremediation. <i>Jatropha curcas</i> was mainly used for ornamental purposes; its use for biodiesel and medicinal purposes was not mentioned by the households in the study areas, probably because the plant is exotic (it originated from Mexico and Central America). Seed oil plants such as <i>Croton megalobotrys</i>, <i>Ricinus communis</i> and J.<i> curcas</i> (which is already being tried) should be recommended as feedstocks for biodiesel production provided they are not invasive. Edible seed oil plants are not recommended for biodiesel production because this will be in conflict with the food versus fuel dilemma.
DOI: 10.7914/sn/1c_2022
title: CANALAB Project - Temporary Seismic Deployment

description: The deployment of this high-resolution seismic observatory consists of 2 lines of closely spaced (3-5 km) broad-band stations across the Cantabrian Mountains (Northern Spain) and several auxiliary stations at both sides of the profiles. By using techniques such as receiver function analysis and ambient noise tomography, this deploymet will allow us to improve our knowledge of the crustal structure and composition (e.g. Vp/Vs) of two key areas of this mountain belt that are subjected to intense scientific debates. It will also help to identify local active seismic sources.