cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.379a9p
title: Occurrence Download

description: A dataset listing the 191 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coffea L."
 ]
}

 The dataset's 191 records were derived from 386 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0257096-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10124951
title: Regional Assessment of buildings' Material Intensities (RASMI): Version 20230905: first public release B - data only

description: Version 20230905: first public release of RASMI (Regional Assessment of buildings' Material Intensities).

This Zenodo version contains two files:



MI_ranges_20230905.xlsx is the dataset of the estimated MI ranges. This is probably the file you're looking for.

MI_data_20230905.xlsx is the raw pools of MI used to create the MI ranges. This is mostly for reproducability.


Please refer to the GitHub readme.md in https://github.com/TomerFishman/MaterialIntensityEstimator for details and how to use.

Please cite both the Data Descriptor and the specific data version used:

Data Descriptor: Tomer Fishman, Alessio Mastrucci, Yoav Peled, Shoshanna Saxe, Bas van Ruijven. RASMI: Global Ranges of Building Material Intensities Differentiated by Region, Structure, and Function. Scientific Data 2024, 11 (1), 418. https://doi.org/10.1038/s41597-024-03190-7.

Data version: preferably use the DOI of the Zeonodo release. Refer to the release number (on the right)

This work was conducted with support by the IIASA-Israel program, and by the Israel Science Foundation project RUSTY (grant no. 2706/19). Funding was also provided by the Horizon Europe research and innovation programme under grant agreement no. 101056868 (CIRCOMOD) for TF and grant agreement No 101056810 (CircEUlar) for AM. Opinions are those of the authors only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for this. BvR and AM have been supported by the Energy Demand changes Induced by Technological and Social innovations (EDITS) project, which is an initiative coordinated by the Research Institute of Innovative Technology for the Earth (RITE) and the International Institute for Applied Systems Analysis (IIASA), and funded by the Ministry of Economy, Trade, and Industry (METI), Japan. SS was supported by the Canada Research Chair in Sustainable Infrastructure, Grant Number: 232970.
DOI: 10.15468/dl.a4adv4
title: Occurrence Download

description: A dataset containing 7199065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN",
 "Year 1949-2023"
 ]
}

 The dataset includes 7199065 records from 2316 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044862-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gnyma
title: Occurrence Download

description: A dataset listing the 6871 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Aves"
 ]
}

 The dataset's 6871 records were derived from 711 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0160848-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e81veg
title: Occurrence Download

description: A dataset containing 401 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cnemidophorus ocellifer Spix, 1825"
 ]
}

 The dataset includes 401 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005145-171113114016250/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zg26w8
title: Occurrence Download

description: A dataset containing 829 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Aves Argentinas / Asociación Ornitológica del Plata - Conteo anual de chorlos de pastizal en Argentina - Campaña enero 2009",
 "Country is Argentina"
 ]
}

 The dataset includes 829 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0160891-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.txdzph
title: Occurrence Download

description: A dataset containing 669172 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Silene L."
 ]
}

 The dataset includes 669172 records from 939 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005146-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f98ynx
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.209431 -36.910238, 149.209431 -36.912484, 149.213922 -36.912484, 149.213922 -36.910238, 149.209431 -36.910238))"
 ]
}

 The dataset includes 68 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066675-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zm9mkg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.641243 -32.483769, 148.643489 -32.483769, 148.643489 -32.48826, 148.652472 -32.48826, 148.652472 -32.483769, 148.645735 -32.483769, 148.645735 -32.481523, 148.643489 -32.481523, 148.643489 -32.477031, 148.641243 -32.477031, 148.641243 -32.483769)), ((148.641243 -32.483769, 148.634506 -32.483769, 148.634506 -32.48826, 148.641243 -32.48826, 148.641243 -32.483769)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066676-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26662339
title: Tropical forest soil under long-term ecosystem warming differentially accumulates organic carbon in different soil fractions over time

description: The fate of tropical forest soil organic carbon (SOC) under warming is crucial to predicting carbon-climate feedbacks, yet remains highly uncertain. Here, based on a 9-year ecosystem-level warming experiment (+0°C, +1.0°C, and +2.1°C), we observed two phases of change in SOC and its fractions under warming: (1) an initial net SOC loss in years 2-4 due to a reduction in mineral-associated organic carbon in topsoil; and (2) a subsequent net SOC accumulation in years 6-9 due to an increase in particulate organic carbon in both topsoil and subsoil. This phased variation was mainly driven by the sustained increase in plant carbon input and the attenuated SOC decomposition (soil heterotrophic respiration, microbial carbon use efficiency, and enzyme activities under warming returned to the same level as in the +0°C treatment). Considering changes in plant carbon input and microbial thermal adaptation, tropical forest soils may accumulate more plant-derived carbon under future warming.
DOI: 10.6084/m9.figshare.26662339.v1
title: Tropical forest soil under long-term ecosystem warming differentially accumulates organic carbon in different soil fractions over time

description: The fate of tropical forest soil organic carbon (SOC) under warming is crucial to predicting carbon-climate feedbacks, yet remains highly uncertain. Here, based on a 9-year ecosystem-level warming experiment (+0°C, +1.0°C, and +2.1°C), we observed two phases of change in SOC and its fractions under warming: (1) an initial net SOC loss in years 2-4 due to a reduction in mineral-associated organic carbon in topsoil; and (2) a subsequent net SOC accumulation in years 6-9 due to an increase in particulate organic carbon in both topsoil and subsoil. This phased variation was mainly driven by the sustained increase in plant carbon input and the attenuated SOC decomposition (soil heterotrophic respiration, microbial carbon use efficiency, and enzyme activities under warming returned to the same level as in the +0°C treatment). Considering changes in plant carbon input and microbial thermal adaptation, tropical forest soils may accumulate more plant-derived carbon under future warming.
DOI: 10.17909/p10c-y529
title: HST Survey of M31 Satellites - Full dataset
DOI: 10.6084/m9.figshare.26600932
title: Additional file 1 of Genetic markers associated with bone composition in Rhode Island Red laying hens

description: Additional file 1: Table S1. Significant SNPsper trait with their positions, estimated marker effect and p-value.
DOI: 10.5281/zenodo.11092496
title: Trophic evolution in ornithopod dinosaurs revealed by dental wear
DOI: 10.15468/dl.tk8dvp
title: Occurrence Download

description: A dataset containing 23496 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((117.98498 31.51774,120.12976 31.51774,120.12976 32.37528,117.98498 32.37528,117.98498 31.51774))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 23496 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066677-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3c2363
title: Occurrence Download

description: A dataset containing 11490041 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 11490041 records from 1087 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066625-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26600932.v1
title: Additional file 1 of Genetic markers associated with bone composition in Rhode Island Red laying hens

description: Additional file 1: Table S1. Significant SNPsper trait with their positions, estimated marker effect and p-value.
DOI: 10.6084/m9.figshare.26600935
title: Additional file 2 of Genetic markers associated with bone composition in Rhode Island Red laying hens

description: Additional file 2: Table S2. Overlap of associationsdetected in the current study and associations or QTL in Chicken QTLdb.
DOI: 10.15468/dl.4qu2dj
title: Occurrence Download

description: A dataset containing 154906330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 154906330 records from 8482 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066497-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e8m63f
title: Occurrence Download

description: A dataset containing 5923 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Australian Coral Ecoregions"
 ]
}

 The dataset includes 5923 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019333-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.awxx9r
title: Occurrence Download

description: A dataset containing 415670 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Silene latifolia Poir.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 415670 records from 2798 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014338-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0186993.10fu
title: SH0186993.10FU

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/sh0186994.10fu
title: SH0186994.10FU

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/sh0186995.10fu
title: SH0186995.10FU

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/sh0186996.10fu
title: SH0186996.10FU

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/sh0186997.10fu
title: SH0186997.10FU

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/sh0186998.10fu
title: SH0186998.10FU

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/sh0186999.10fu
title: SH0186999.10FU

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/sh0187000.10fu
title: SH0187000.10FU

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/sh0187001.10fu
title: SH0187001.10FU

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/sh0187002.10fu
title: SH0187002.10FU

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.