cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/d57-b00-ex0
title: Chlamys Röding, 1798

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qn8-fxe-edg
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.17350107
title: Global Pathways to Low-Impact, Cost-Effective Food Security in wheat and maize production:source of data

description: The present study was conducted to optimize N and P fertilizer application strategies for irrigated and rainfed maize and wheat systems at the global scale. Both current production conditions and future management scenarios were considered. For this aim various forms of N and P losses (emissions) were quantified, and optimization techniques were applied to determine efficient fertilization strategies. To achieve this, several alternative nutrient management scenarios were evaluated, incorporating legume rotations and manure application two widely available, low-cost nutrient sources either individually or in combination. The scenarios included: (1) integrated use of manure (providing N and P) and legume rotation (supplying biologically fixed N) (BothML), (2) Manure application only, (3) Legume rotation only, (4) No external nutrient inputs to achieve optimization rate, and (5) Nutrient requirements based on actual yield values (Real), and (6) current fertilizer application as business as usual scenarios (BAU). Fertilizer requirements were calculated using the equations provided in the FertiliCalc model guide (http://www.uco.es/fitotecnia/fertilicalc.html), as described in the manual section of this model. A genetic algorithm (GA) was applied to determine the optimal fertilizer application rates under each scenario, using spatially explicit datasets on soil properties, climate conditions, and legume N fixation capacity. This approach enables the development of site-specific, resource-efficient fertilization strategies at the global scale.
DOI: 10.5281/zenodo.17350109
title: Global Pathways to Low-Impact, Cost-Effective Food Security in wheat and maize production:source of data

description: The present study was conducted to optimize N and P fertilizer application strategies for irrigated and rainfed maize and wheat systems at the global scale. Both current production conditions and future management scenarios were considered. For this aim various forms of N and P losses (emissions) were quantified, and optimization techniques were applied to determine efficient fertilization strategies. To achieve this, several alternative nutrient management scenarios were evaluated, incorporating legume rotations and manure application two widely available, low-cost nutrient sources either individually or in combination. The scenarios included: (1) integrated use of manure (providing N and P) and legume rotation (supplying biologically fixed N) (BothML), (2) Manure application only, (3) Legume rotation only, (4) No external nutrient inputs to achieve optimization rate, and (5) Nutrient requirements based on actual yield values (Real), and (6) current fertilizer application as business as usual scenarios (BAU). Fertilizer requirements were calculated using the equations provided in the FertiliCalc model guide (http://www.uco.es/fitotecnia/fertilicalc.html), as described in the manual section of this model. A genetic algorithm (GA) was applied to determine the optimal fertilizer application rates under each scenario, using spatially explicit datasets on soil properties, climate conditions, and legume N fixation capacity. This approach enables the development of site-specific, resource-efficient fertilization strategies at the global scale.
DOI: 10.5284/1135906
title: Digital Archive from a Trial Trench Evaluation at Grafham Solar Array, Cambridgeshire, October-November 2018

description: This collection comprises reports, images, site records, spreadsheets, a vector drawing, and a database from a trial trench evaluation at Grafham Water Solar Array, Cambridgeshire undertaken by Oxford Archaeology East in October and November 2018. A total of 35 trenches were excavated across three fields with 12 of the trenches yielding archaeological features.
DOI: 10.3535/wzg-cdd-p5s
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ycd-v75-rjr
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dp5-8l2-gwz
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yf8-fxv-b2s
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nrk-er9-yr4
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rnr-agj-qb7
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/74y-k8f-1x4
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s0y-agf-b6c
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/749-wyq-ch7
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tz7-ex2-skg
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yvl-lnt-p3f
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fas-g0x-zfs
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q2g-8e6-hts
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xtv-lv2-802
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lex-76s-5a7
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vaw-h43-gl2
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/96t-na0-nph
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zsy-9by-7tj
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mds-2gf-dcm
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zva-fb6-0tl
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/899-swh-yty
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/58r-7p2-kk2
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wj5-dwh-lrs
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2hk-149-fym
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ww9-f6z-yfy
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.21223/p3/zphd7w
title: Dataset for: Collection of land use thematic maps for the Peru multifunctional landscape

description: This comprehensive geospatial dataset collection integrates multi-source, multi-temporal Earth observation data and thematic maps to support multifunctional landscape analysis and monitoring in the Pucallpa–Aguaytía agroforestry corridor, Ucayali Region, Perú. Developed within the framework of the CGIAR Multifunctional Landscapes Science Program, the collection encompasses 74 spatial layers organized across thematic categories: hydrological features, land cover dynamics, climate variables, ecosystem health indicators, human footprint measures, protected areas, physiographic characteristics, forests, biomass, carbon stocks, and location reference data. The dataset employs a hierarchical approach to landscape characterization, combining fine-scale observations (30-meter resolution) with broader regional context. Temporal coverage spans four decades (1985-2025), enabling retrospective analysis of landscape transformation and current condition assessment. Core components include: (1) annual land cover classifications from MapBiomas Peru tracking land use change at five-year intervals; (2) climate variable analysis comparing recent observations (2024) against a 30-year baseline period (1981-2010) for evapotranspiration, temperature, and precipitation; (3) ecosystem integrity assessment using a composite index that integrates functional productivity (NPP), compositional diversity, and structural connectivity; (4) forest dynamics monitoring through Hansen Global Forest Change and GLAD datasets documenting deforestation patterns from 2000-2024; and (5) atmospheric pollution measurements from Sentinel-5P capturing carbon monoxide, nitrogen dioxide, ozone, and sulfur dioxide concentrations. Data integration follows standardized geospatial protocols with consistent geographic coverage focused on the Pucallpa–Aguaytía agroforestry corridor and surrounding buffer area, enabling cross-dataset analysis and multi-criteria evaluation. Raster datasets predominantly employ 30-90 meter spatial resolutions appropriate for landscape-scale assessment, while vector datasets maintain source-appropriate scales ranging from local to national coverage. The collection draws from authoritative international sources including NASA, ESA Copernicus, MODIS, WWF, USGS, TerraClimate and national Peruvian institutions (MINAM, INEI, IBC, and SENAMHI).
DOI: 10.3535/0nw-zln-3z8
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/njf-0rl-r3h
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/38a-chj-7xf
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p3f-439-da3
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kw8-06y-phq
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t81-6ps-cyb
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.1vmfef
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005857-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.66xshb
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005826-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lq1scl
title: Occurrence Download

description: A dataset containing 621510410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 621510410 records from 12708 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040158-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1411505.10fu
title: SH1411505.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1411506.10fu
title: SH1411506.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1411508.10fu
title: SH1411508.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1411509.10fu
title: SH1411509.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1411511.10fu
title: SH1411511.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1411523.10fu
title: SH1411523.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1411526.10fu
title: SH1411526.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1411527.10fu
title: SH1411527.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1411530.10fu
title: SH1411530.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.pyvzfb
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005930-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.