cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3hzkax
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ambrosiella Arx & Hennebert",
 "Year 2000-2025"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001522-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5w6pd
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhabderemia spinosa Topsent, 1896"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001517-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3wvzn
title: Occurrence Download

description: A dataset containing 894 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taxus chinensis (Pilg.) Rehd."
 ]
}

 The dataset includes 894 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001518-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xqnrf
title: Occurrence Download

description: A dataset containing 271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fistularia commersonii Rüppell, 1838",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 271 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001515-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rr8v79
title: Occurrence Download

description: A dataset containing 6869 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tricholoma matsutake (S.Ito & S.Imai) Singer"
 ]
}

 The dataset includes 6869 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001524-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ndg6ue
title: Occurrence Download

description: A dataset containing 1190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((119.98929 22.84718,120.8706 22.84718,120.8706 23.91635,119.98929 23.91635,119.98929 22.84718))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mikania micrantha Kunth",
 "Year 2020-2024"
 ]
}

 The dataset includes 1190 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001530-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m9z4q6
title: Occurrence Download

description: A dataset containing 26900 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Solanum tuberosum L."
 ]
}

 The dataset includes 26900 records from 506 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001526-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wztxfd
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arthonia reniformis (Pers.) Ach."
 ]
}

 The dataset includes 115 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001527-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.efjjs6
title: Occurrence Download

description: A dataset containing 18470 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Portugal",
 "DatasetKey is one of (GalliForm: Galliformes occurrence records from the Indo-Malay and Palaearctic, 1800-2008, AMNH Bird Collection, Natural History Museum (London) Collection Specimens, NMNH Extant Specimen Records (USNM, US), Collection Aves (bird skins) SMF)",
 "HasCoordinate is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 18470 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001525-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsap2y
title: Occurrence Download

description: A dataset containing 22262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ludwigia grandiflora (Michx.) Greuter & Burdet, Jussiaea stuckertii H.Lév., Jussiaea repens f. intermedia Hassl., Jussiaea repens var. uruguayensis Hassl., Jussiaea grandiflora f. semimersa Glück, Jussiaea grandiflora f. terrestris Glück, Jussiaea grandiflora Michx., Jussiaea uruguayensis Cambess., Jussiaea repens var. hispida Hauman, Jussiaea grandiflora f. semiserrata Glück, Ludwigia grandiflora subsp. grandiflora, Jussiaea grandiflora f. natans Glück, Jussiaea uruguayensis var. genuina Munz, Jussiaea repens var. major Hassl., Ludwigia michauxiana Fernald, Ludwigia clavellina var. grandiflora (Michx.) M.Gómez, Adenola grandiflora (Michx.) Raf., Jussiaea repens subsp. grandiflora (Michx.) P.Fourn., Jussiaea repens var. grandiflora Micheli, Ludwigia grandiflora (Michx.) Zardini, H.Y.Gu & P.H.Raven, Jussiaea michauxiana Fernald, Ludwigia uruguayensis (Cambess.) H.Hara, Jussiaea uruguayensis f. major (Hassl.) Munz, Ludwigia uruguayensis var. major (Hassl.) Munz)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 22262 records from 394 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001516-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tybsq4
title: Occurrence Download

description: A dataset containing 4750 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epipremnum aureum (Linden & André) G.S.Bunting"
 ]
}

 The dataset includes 4750 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001529-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.guxypj
title: Occurrence Download

description: A dataset containing 6869 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tricholoma matsutake (S.Ito & S.Imai) Singer"
 ]
}

 The dataset includes 6869 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001528-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15193826
title: Life Cycle Inventories and ESCAPE Datasets for the Comparative Environmental Assessment of Noble Metals Recovery from E-Waste

description: The ESCAPE index (Evaluation of Sustainability of material substitution using CArbon footPrint by a simplifiEd approach) is a simplified sustainability assessment tool based on the Embodied Energy (EE) and Carbon Footprint (CF) metrics. It allows for a preliminary sustainability analysis of materials, processes and technologies, by comparing the sustainability of recovered or alternative materials to that of their original, primary equivalents (Bontempi, 2017). 
Life Cycle Assessment (LCA) is a well-established and standardised methodology for quantifying potential environmental impacts by adopting a holistic view of the system under study.The here-reported life cycle inventory and ESCAPE datasets were used to carry out an ESCAPE- and LCA-based comparative assessment to investigate the same experimental system, focused on the recovery of Noble Metals (NMs) (i.e., Cu, Ag, Au) from waste Random Access Memories (RAMs) (Rigoldi et al., 2019).The spreadsheet file ‘ESCAPE_index_data_NMs_recovery.xlsx’ includes input data for each process phase, the Embodied Energy and Carbon Footprint values associated with the mechanical and thermal processes and the reagents used in the recovery process, as well as those related to the primary extraction of Au, Ag, and Cu, and the ESCAPE index calculations for each metal.The spreadsheet file ‘LCI_data_NMs_recovery.xlsx’ provides detailed life cycle inventory data used to perform the LCA. It includes detailed LCI tables for the pretreatment, leaching, and recovery steps, as well as for the equipment required to perform the NMs recovery treatment at the laboratory scale.

 

This work was carried out in the framework of the “SMART PCBs - Sustainable Materials Recycling Technology for Printed Circuit Boards” project co-funded by the Italian Ministry of Environment and Energy Security (MASE), Call RAEE 2020, CUP F57G20000050001.
DOI: 10.15159/phytop.133
title: Tamula

description: Phytoplankton biomass, diversity and abundance in samples collected from Lake Tamula during the period 1932-2002.
DOI: 10.15468/dl.7epaq3
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carex obscura Nees"
 ]
}

 The dataset includes 111 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003310-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w2bnbr
title: Occurrence Download

description: A dataset containing 409 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parabuthus villosus (Peters, 1862)"
 ]
}

 The dataset includes 409 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054724-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfhdzf
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ptilotrichum macrocarpum (DC.) Boiss."
 ]
}

 The dataset includes 28 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042362-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e68x4m
title: Occurrence Download

description: A dataset containing 1310 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is USA.5.30_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Anas platyrhynchos Linnaeus, 1758",
 "Year 2022-2023"
 ]
}

 The dataset includes 1310 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024348-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.anfbxn
title: Occurrence Download

description: A dataset containing 24618167 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Mexico"
 ]
}

 The dataset includes 24618167 records from 2087 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003311-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0196110.10fu
title: SH0196110.10FU

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/sh0196111.10fu
title: SH0196111.10FU

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/sh0196112.10fu
title: SH0196112.10FU

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/sh0196113.10fu
title: SH0196113.10FU

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/sh0196114.10fu
title: SH0196114.10FU

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/sh0196115.10fu
title: SH0196115.10FU

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/sh0196116.10fu
title: SH0196116.10FU

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/sh0196117.10fu
title: SH0196117.10FU

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/sh0196118.10fu
title: SH0196118.10FU

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/sh0196119.10fu
title: SH0196119.10FU

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.