cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.60779/cssl-04252
title: Tell el-Farʿa (S) No. 579, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04253
title: Tell el-Farʿa (S) No. 580, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04254
title: Tell el-Farʿa (S) No. 581, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04255
title: Tell el-Farʿa (S) No. 582, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04256
title: Tell el-Farʿa (S) No. 583, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04257
title: Tell el-Farʿa (S) No. 584, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04258
title: Tell el-Farʿa (S) No. 585, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04259
title: Tell el-Farʿa (S) No. 586, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.15468/dl.3eqpph
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chironex fleckeri Southcott, 1956"
 ]
}

 The dataset includes 170 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009246-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60779/cssl-04260
title: Tell el-Farʿa (S) No. 587, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04261
title: Tell el-Farʿa (S) No. 588, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04262
title: Tell el-Farʿa (S) No. 589, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04263
title: Tell el-Farʿa (S) No. 590, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04264
title: Tell el-Farʿa (S) No. 591, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04265
title: Tell el-Farʿa (S) No. 592, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04266
title: Tell el-Farʿa (S) No. 593, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04267
title: Tell el-Farʿa (S) No. 594, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04268
title: Tell el-Farʿa (S) No. 595, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04269
title: Tell el-Farʿa (S) No. 596, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04270
title: Tell el-Farʿa (S) No. 597, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04271
title: Tell el-Farʿa (S) No. 598, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04272
title: Tell el-Farʿa (S) No. 599, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04273
title: Tell el-Farʿa (S) No. 600, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.15468/dl.2294ya
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lycodon ferroni Lanza, 1999)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009249-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60779/cssl-04274
title: Tell el-Farʿa (S) No. 601, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04275
title: Tell el-Farʿa (S) No. 602, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04276
title: Tell el-Farʿa (S) No. 603, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04277
title: Tell el-Farʿa (S) No. 604, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04278
title: Tell el-Farʿa (S) No. 605, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04279
title: Tell el-Farʿa (S) No. 606, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04280
title: Tell el-Farʿa (S) No. 607, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04281
title: Tell el-Farʿa (S) No. 608, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04282
title: Tell el-Farʿa (S) No. 609, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04283
title: Tell el-Farʿa (S) No. 610, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.60779/cssl-04284
title: Tell el-Farʿa (S) No. 611, in: Corpus of Stamp Seals from the Southern Levant, ed. by I. Koch, S. Münger, S. Schroer and C. Uehlinger
DOI: 10.15468/dl.4npxsw
title: Occurrence Download

description: A dataset listing the 49802 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "Country is Colombia",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 49802 records were derived from 1878 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009225-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17701862
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level sfc, Global model EC-EARTH3, scenario ssp126 -  The North-east of the Netherlands (HUAS)

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.17701903
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level sfc, Global model EC-EARTH3, scenario ssp245 -  The North-east of the Netherlands (HUAS)

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.17701902
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level sfc, Global model EC-EARTH3, scenario ssp245 -  The North-east of the Netherlands (HUAS)

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.v4
title: <b>Code and Dataset: </b><b>Forest foods for climate, health, and food security in China</b>

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: 10.15468/dl.2zxq37
title: Occurrence Download

description: A dataset containing 176081 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Country is one of (France, Switzerland, Germany)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cervus elaphus",
 "Year 1960-2025"
 ]
}

 The dataset includes 176081 records from 914 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014001-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/8861080
title: BRACS-WSI-Group-AT-Type-ADH
DOI: 10.5281/zenodo.17704219
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level sfc, Global model EC-EARTH3, scenario ssp370 -  The North-east of the Netherlands (HUAS)

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.17704220
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level sfc, Global model EC-EARTH3, scenario ssp370 -  The North-east of the Netherlands (HUAS)

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.17704239
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level sfc, Global model EC-EARTH3, scenario ssp585 -  The North-east of the Netherlands (HUAS)

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.17704240
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level sfc, Global model EC-EARTH3, scenario ssp585 -  The North-east of the Netherlands (HUAS)

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.17705051
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario Historical -  The North-east of the Netherlands (HUAS)

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.17705052
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario Historical -  The North-east of the Netherlands (HUAS)

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: 10.15468/dl.9kgjgh
title: Occurrence Download

description: A dataset containing 9303 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acinonyx jubatus"
 ]
}

 The dataset includes 9303 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014015-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17705206
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario ssp126 -  The North-east of the Netherlands (HUAS)

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.17705207
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario ssp126 -  The North-east of the Netherlands (HUAS)

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: 10.57967/hf/7115
title: MIT_separated_final
DOI: 10.5281/zenodo.17705216
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario ssp245 -  The North-east of the Netherlands (HUAS)

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.17705217
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario ssp245 -  The North-east of the Netherlands (HUAS)

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: 10.57967/hf/7116
title: MIT_mixed_final
DOI: 10.5281/zenodo.17705231
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario ssp370 -  The North-east of the Netherlands (HUAS)

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.17705232
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario ssp370 -  The North-east of the Netherlands (HUAS)

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.17705249
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario ssp585 -  The North-east of the Netherlands (HUAS)

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.17705250
title: DISTENDER Climate Simulations: Statistical Downscaling for HUAS_D2, Vertical level sfc, Global model MPI-ESM1-2-HR, scenario ssp585 -  The North-east of the Netherlands (HUAS)

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.17712347
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2000m, Global model EC-EARTH3, scenario ssp370 -  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.17712348
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2000m, Global model EC-EARTH3, scenario ssp370 -  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.17712392
title: DISTENDER Climate Simulations: Statistical Downscaling for Euraf_D1, Vertical level 2000m, Global model EC-EARTH3, 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: 10.5284/1136975
title: Images and Report from Analytical Historic Building Recording at Manor Farm, Vicarage Road, Mickleover, Derby, November 2024

description: This collection comprises images and a report from a Level 2 to 3 Historic Building Recording at Manor Farm, Vicarage Road, Mickleover, Derby. Work was carried out by York Archaeology in November 2024 in advance of the proposed conversion of the two historic barns into three dwellings, together with the erection of six linked dwellings, as part of a Listed Building Consent (planning ref. 22/01388/LBA). The historic building recording also included the Grade II Listed Building Farmhouse, with the intention to incorporate it within an overall report for a future application for proposed refurbishment. Manor Farm originated at least from the mid-18th century as an outfarm with small barns and subsequent outbuildings, set around a courtyard.