cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/ar/jj7i11
title: Haven-Oude Haven te Schoonhoven, gemeente Krimpenerwaard Een bureauonderzoek

description: &lt;p&gt;Zullen een breedte tussen de 2 á 3 meter en een diepte van maximaal 3 reiken. De werkzaamheden zullen alleen bij het oude riool plaatsvinden.&lt;/p&gt;&lt;p&gt;
Op basis van het bureauonderzoek is een gespecificeerde archeologische verwachting opgesteld. Het plangebied is gesitueerd in het historische centrum van Schoonhoven, gemeente Krimpenerwaard. Het gebied ligt ten noorden van de rivier de Lek. Ter hoogte van het plangebied bestaat de ondergrond uit een afwisseling van rivierafzettingen en veenlagen. Het plangebied was hierdoor tot in de Late Middeleeuwen geen geschikte locatie voor bewoning. De natuurlijke ondergrond is bij een booronderzoek in het onderzoeksgebied op een diepte van 1,8 m -NAP aangetroffen. De stad Schoonhoven ontstaat rond de 13e eeuw en de ondergrond is in de loop van de tijd opgehoogd met een dik ophogingspakket van minimaal 2 tot 3 meter dik. Bij een onderzoek in het plangebied zijn uit de verschillende ophogingslagen fragmenten aardewerk uit de periode 1250- 1500 AD en 1680-1750 AD aangetroffen.&lt;/p&gt;&lt;p&gt;
Op basis van historisch kaartmateriaal is aangetoond dat het plangebied gelegen is in de historische binnenstad van Schoonhoven. Op de kaart van Van Deventer uit de 16e eeuw is het plangebied in gebruik als weg. De kaart van J. Bleau uit 1649 is in gebruik als weg, de waag en zijn er langs de gracht enkele gebouwen aanwezig. Deze gebouwen zijn op de kadastrale minuut verdwenen, hierop is het gebied nog in gebruik als weg en de waag aanwezig. Dit beeld verandert niet.&lt;/p&gt;&lt;p&gt;
In het plangebied is het mogelijk historische ophogingslagen aan te treffen. Binnen deze ophogingslagen is het mogelijk archeologische artefacten vanaf de Late Middeleeuwen aan te treffen. Hiernaast heeft mogelijk in het noorden en het midden van het plangebied bebouwing gestaan. Resten van de fundering zijn wellicht nog in de ondergrond aanwezig.&lt;/p&gt;&lt;p&gt;
Op grond van de waarderingscriteria is gebleken, dat er binnen het plangebied sprake is van een behoudenswaardige vindplaats. Om van deze vindplaats de gegevens te kunnen documenteren en het materiaal veilig te stellen, adviseert ADC ArcheoProjecten om in het plangebied tijdens de graafwerkzaamheden in een archeologische begeleiding te voorzien (Opgraving variant archeologische begeleiding), om daarmee informatie te behouden die van belang is voor kennisvorming over het verleden. De archeologische begeleiding dient hetzelfde doel als een opgraving (AB/Opgraven). Dit betekent dat bij de civiele werkzaamheden aangetroffen vondsten of archeologische sporen worden geregistreerd en, in zover de werkzaamheden dat toelaten, worden gedocumenteerd.
De exacte invulling van de werkzaamheden dient voorafgaand aan het veldwerk te worden vastgelegd in een door de bevoegde overheid goed te keuren Programma van Eisen (PvE).&lt;/p&gt;&lt;p&gt;
DOI: 10.13140/rg.2.2.27953.85601
title: A Revolução da Ciência Aberta
DOI: 10.15468/dl.crpcxy
title: Occurrence Download

description: A dataset containing 2106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera onca"
 ]
}

 The dataset includes 2106 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014036-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/kvtuqi
title: Tilburg, Kapitein Nemostraat 100 (Gemeente Tilburg, NB) Een Archeologisch Bureauonderzoek en Inventariserend Veldonderzoek (IVO-O), verkennende fase

description: &lt;p&gt;Voorafgaand aan het veldwerk is een archeologisch verwachtingsmodel opgesteld. Voor het plangebied geldt een middelhoge verwachting voor de periode steentijd – romeinse tijd. Voor de periode middeleeuwen – nieuwe tijd geldt eveneens een middelhoge verwachting.&lt;/p&gt;&lt;p&gt;
 Tijdens het veldonderzoek zijn twee van de zes geplande boringen doorgezet tot in de C-horizont. Om deze reden is overleg met de gemeente Tilburg (L. Meurkens) een extra boring binnen het plangebied uitgevoerd. Uit naburig onderzoek blijkt dat een afgetopte C‑horizont aanwezig was op 13 meter boven NAP. Tijdens het huidige onderzoek is de C‑horizont pas aangetroffen tussen 12,05 en 12,85 meter boven NAP. De bodem in het plangebied is diep verstoord. Er zijn geen relevante archeologische lagen of indicatoren aangetroffen.&lt;/p&gt;
DOI: 10.15468/dl.5tp7fh
title: Occurrence Download

description: A dataset containing 916 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "IucnRedListCategory is CR",
 "MediaType is Image"
 ]
}

 The dataset includes 916 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014037-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u76ygs
title: Occurrence Download

description: A dataset containing 222 records in GBIF matching the query:
SELECT
 "year",
 COUNT(*) occurrences
FROM
 occurrence
WHERE
 occurrence.occurrencestatus = 'PRESENT'
 AND occurrence.publishingcountry = 'EE'
 AND NOT occurrence.basisofrecord IN ('LIVING_SPECIMEN')
 AND occurrence."year" IS NOT NULL
GROUP BY
 occurrence."year"

 The dataset's 222 records were derived from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014023-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wh8gma
title: Occurrence Download

description: A dataset containing 237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Vespula flaviceps",
 "Year 1981-2024"
 ]
}

 The dataset includes 237 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014038-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xzaebk
title: Occurrence Download

description: A dataset containing 1236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-2.43081 43.37337,-6.25592 43.96836,-10.16328 43.79048,-10.65685 40.37286,-10.65685 36.93726,-6.46157 35.84469,-4.81636 35.94464,-1.81386 36.04448,0.4483 37.33074,0.73621 39.29907,2.42255 40.68548,3.86211 42.34835,2.2169 42.46982,-0.62108 42.98346,-2.43081 43.37337))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (7b4f2f30-a456-11d9-8049-b8a03c50a862, 0363cbd4-f666-455e-8e86-0bbddcf51950, cb202839-87c6-456a-821c-dc5b268a200f, 823818f6-0696-4e29-bc4c-b6f3817535a7, b934f398-a2df-412c-bde2-de176590bc73, 4c91866b-3c2e-4568-aca0-3ab0a1c1a45e, 8209258a-80e8-4094-aba2-a3febe5ed45b)",
 "TaxonKey is Senecio inaequidens"
 ]
}

 The dataset includes 1236 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014040-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4rtzad
title: Occurrence Download

description: A dataset containing 3406 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zeugodacus cucurbitae"
 ]
}

 The dataset includes 3406 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014039-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/jsyv3p
title: Kapteijnstraat 11 te Barneveld, een bureauonderzoek

description: &lt;p&gt;De aanleiding voor het onderzoek is de voorgenomen aanvraag van de omgevingsvergunning voor de sloop van de bestaande bebouwing en de daaropvolgende nieuwbouw.
Op basis van het bureauonderzoek is een gespecificeerde verwachting opgesteld. Het plangebied maakt deel uit van de dorpskern van Barneveld en grenst aan de historische dorpskern. Daarom geldt er een middelhoge verwachting voor archeologische waarden uit de Late Middeleeuwen – Nieuwe tijd. Op basis van oud kaartmateriaal zijn er echter geen aanwijzingen voor historische bebouwing.&lt;/p&gt;&lt;p&gt;
Teneinde deze verwachting te toetsen is in het plangebied een inventariserend veldonderzoek in de vorm van een verkennend booronderzoek uitgevoerd. De ondergrond van het plangebied bestaat uit lichtgrijze tot grijze, zwak tot sterk zandige leem. Het leem bevat zeer veel ijzervlekken en mangaanconcreties. De top van het leem werd aangetroffen tussen 130 en 75 cm -mv (8,04 en 8,59 m +NAP). Dit is geïnterpreteerd als beekafzetting.&lt;/p&gt;&lt;p&gt;
Boven het leem werd een pakket (donker) bruin grijs, zwak tot matig siltig, humeus, matig tot zeer fijn zand met enkele puinfragmenten en ijzervlekken aangetroffen. Naast de puinfragmenten (baksteen, brok beton, mortel) zijn ook geglazuurd aardewerk, houtskool en resten van een pijp gevonden.. Het pakket betreft een ophogingspakket.
Vanwege de aanwezigheid van beekafzettingen in de ondergrond, het ontbreken van historische bebouwing en de moderne puinfragmenten tot 80 cm -mv in het ophogingspakket, kan de archeologische verwachting voor het plangebied van hoog naar laag worden bijgesteld.&lt;/p&gt;&lt;p&gt;
DOI: 10.5281/zenodo.17749683
title: Causing a robot to display happy but not sad facial expression leads to sensory attenuation

description: Data related to the research project:

Ari, I., Wozniak, M., De Tommaso, D., Wykowska, A. "Causing a robot to display happy but not sad facial expression leads to sensory attenuation"
DOI: 10.5281/zenodo.17749684
title: Causing a robot to display happy but not sad facial expression leads to sensory attenuation

description: Data related to the research project:

Ari, I., Wozniak, M., De Tommaso, D., Wykowska, A. "Causing a robot to display happy but not sad facial expression leads to sensory attenuation"
DOI: 10.5522/04/30738887
title: LLM indicator keywords in Dimensions - August 2025 search counts

description: This dataset gives counts for the number of papers matching given full-text search terms in the Dimensions database. Data collected in August 2025.An earlier version of this dataset (collected March 2024) using different search terms is available at https://doi.org/10.5522/04/25471957
DOI: 10.5522/04/30738887.v1
title: LLM indicator keywords in Dimensions - August 2025 search counts

description: This dataset gives counts for the number of papers matching given full-text search terms in the Dimensions database. Data collected in August 2025.An earlier version of this dataset (collected March 2024) using different search terms is available at https://doi.org/10.5522/04/25471957
DOI: 10.5281/zenodo.17714005
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2000m, Global model MPI-ESM1-2-HR, scenario ssp126 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17714004
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2000m, Global model MPI-ESM1-2-HR, scenario ssp126 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17714206
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2000m, Global model MPI-ESM1-2-HR, scenario ssp245 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17714205
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2000m, Global model MPI-ESM1-2-HR, scenario ssp245 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.6084/m9.figshare.26974540.v5
title: Code and Dataset: Forest foods for climate, health, and food security in China

description: <b>Forest-derived foods offer a promising, underused lever for sustainable food systems, yet their system-wide contributions remain poorly quantified. We present the first integrated assessment of China’s forest food system, combining retrospective production data for 2006 to 2020 with scenario projections for 2021 to 2050 under SSP1 to SSP5. By 2035, higher forest food consumption could substitute 6.6% to 7.6% of national grain demand and reduce arable land use by 6.4% to 7.9%, rising to 6.8% to 8.0% and 6.6% to 8.3% by 2050. These dietary shifts could lower nitrogen, phosphorus, and potassium fertilizer use by up to 31% to 33%, 2% to 3%, and 4% to 5%, respectively, and offset up to 17% of agricultural greenhouse gas emissions, while strengthening forest carbon sinks. Health co-benefits include a 3.2% reduction in cardiovascular and respiratory mortality and a 2.3 to 2.6 year increase in average life expectancy, attributable to the high micronutrient density and low energy content of forest foods. Together, these results indicate that forest-based diets can deliver substantial environmental and health gains while relieving pressure on cropland and agricultural inputs.</b>
DOI: 10.5281/zenodo.17714417
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2m, Global model CanESM5, scenario Historical -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17714416
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2m, Global model CanESM5, scenario Historical -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17714428
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2m, Global model CanESM5, scenario ssp126 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17714427
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2m, Global model CanESM5, scenario ssp126 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17714696
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2m, Global model CanESM5, scenario ssp585 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17714695
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2m, Global model CanESM5, scenario ssp585 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17715156
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2m, Global model EC-EARTH3 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.5281/zenodo.17715157
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2m, Global model EC-EARTH3 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.7289/v5b27s93
title: Oceanographic data and ROV dive-related multimedia and information collected during the EX1606 (CAPSTONE Wake Island Unit PRIMNM (ROV & Mapping)) expedition on NOAA Ship OKEANOS EXPLORER in the North Pacific Ocean from 2016-07-27 to 2016-08-19 (NCEI Accession 0156560)

description: This dataset contains oceanographic data collected in the deep water areas around Wake Island and along transits from Guam to Kwajalein. Operations will use the ship’s deep water mapping systems, NOAA’s two-body 6000 m remotely operated vehicles, CTD rosette, and the ship’s high-bandwidth satellite connection for real-time ship to shore communications. Daytime ROV dives were planned most days, as were a few dedicated mapping transit days. ROV dives included high-resolution visual surveys and limited rock and biologic specimen sampling. Mapping operations were conducted overnight when the ROV was on deck and CTD casts were taken to collect more environmental information at sites of interest. This expedition helped establish a baseline of information in the region to catalyze further exploration, research, and management activities.
DOI: 10.17632/dmj2h6jbjy
title: Data_godmother

description: Raw data of the manuscript: "The godmother model of maternal sensitization fails in rats: social behaviours of mothers and virgin females housed together "
DOI: 10.17632/dmj2h6jbjy.1
title: Data_godmother

description: Raw data of the manuscript: "The godmother model of maternal sensitization fails in rats: social behaviours of mothers and virgin females housed together "
DOI: 10.17632/ghz592wjzb
title: Knowledge, Attitudes, and Practices of Healthcare Providers in Addressing the Care Needs of Individuals who identify as LGBTQIA+ in Türkiye : Quantitative Data (SPSS)

description: Qualitative data addressing participants’ responses to the survey and implicit attitude tests.
DOI: 10.17632/ghz592wjzb.1
title: Knowledge, Attitudes, and Practices of Healthcare Providers in Addressing the Care Needs of Individuals who identify as LGBTQIA+ in Türkiye : Quantitative Data (SPSS)

description: Qualitative data addressing participants’ responses to the survey and implicit attitude tests.
DOI: 10.5281/zenodo.17715484
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 50m, Global model CanESM5, scenario ssp126 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.
DOI: 10.17632/gfck77w5jm
title: Strong Light-Matter Coupling and Field Quantization in a Dinickel Molecular Resonator

description: Here we report the data collected by the conventional spectroscopy. The raw data generalized from the instruments have been uploaded. And they have been restored in .txt and .xlsx files.
DOI: 10.5281/zenodo.17715483
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 50m, Global model CanESM5, scenario ssp126 -  Dehesas(Spain) and Montados(Portugal)(EURAF)

description: Local (high resolution) climate data produced applying statistical downscaling techniques in the EU Project DISTENDER for five case studies. https://distender.eu/the-project . The datasets from the statistical downscaling come from the outputs of three global climate models that have been bias corrected (Parametric quantile mapping).
More details about the domains, the provided variable, levels and periods are provided in the README file.