cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive1781.20251217.10
title: Afipia massiliensis La Scola et al. 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0070121.10fu
title: SH0070121.10FU

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: 10.13145/bacdive1782.20250331.9.3
title: Afipia birgiae La Scola et al. 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0070122.10fu
title: SH0070122.10FU

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: 10.13145/bacdive1782.20251217.10
title: Afipia birgiae La Scola et al. 2002

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1783.20250331.9.3
title: Afipia sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0070123.10fu
title: SH0070123.10FU

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: 10.13145/bacdive1783.20251217.10
title: Afipia sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1784.20250331.9.3
title: Bradyrhizobium oligotrophicum (Ohta and Hattori 1985) Ramírez-Bahena et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0070124.10fu
title: SH0070124.10FU

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: 10.13145/bacdive1784.20251217.10
title: Bradyrhizobium oligotrophicum (Ohta and Hattori 1985) Ramírez-Bahena et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0070125.10fu
title: SH0070125.10FU

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: 10.13145/bacdive1785.20241212.9.2
title: Pararhizobium capsulatum (Hirsch and Müller 1986) Mousavi et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1785.20251217.10
title: Pararhizobium capsulatum (Hirsch and Müller 1986) Mousavi et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0070126.10fu
title: SH0070126.10FU

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: 10.13145/bacdive1786.20250331.9.3
title: Bosea thiooxidans Das et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1786.20251217.10
title: Bosea thiooxidans Das et al. 1996

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5517/ccdc.csd.cc2kh8kx
title: CCDC 2368169: Experimental Crystal Structure Determination

description: Related Article: Leibo Tan, Jiaxin Chen, Xiaocui Liu, Alexander Matler, Nils Schopper, Maik Finze, Zhenyang Lin, Qing Ye|2024|J.Am.Chem.Soc.|146|31681|doi:10.1021/jacs.4c10145
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kh8ly
title: CCDC 2368170: Experimental Crystal Structure Determination

description: Related Article: Leibo Tan, Jiaxin Chen, Xiaocui Liu, Alexander Matler, Nils Schopper, Maik Finze, Zhenyang Lin, Qing Ye|2024|J.Am.Chem.Soc.|146|31681|doi:10.1021/jacs.4c10145
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kh8mz
title: CCDC 2368171: Experimental Crystal Structure Determination

description: Related Article: Leibo Tan, Jiaxin Chen, Xiaocui Liu, Alexander Matler, Nils Schopper, Maik Finze, Zhenyang Lin, Qing Ye|2024|J.Am.Chem.Soc.|146|31681|doi:10.1021/jacs.4c10145
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kh8n0
title: CCDC 2368172: Experimental Crystal Structure Determination

description: Related Article: Leibo Tan, Jiaxin Chen, Xiaocui Liu, Alexander Matler, Nils Schopper, Maik Finze, Zhenyang Lin, Qing Ye|2024|J.Am.Chem.Soc.|146|31681|doi:10.1021/jacs.4c10145
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kh8p1
title: CCDC 2368173: Experimental Crystal Structure Determination

description: Related Article: Leibo Tan, Jiaxin Chen, Xiaocui Liu, Alexander Matler, Nils Schopper, Maik Finze, Zhenyang Lin, Qing Ye|2024|J.Am.Chem.Soc.|146|31681|doi:10.1021/jacs.4c10145
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kh8q2
title: CCDC 2368174: Experimental Crystal Structure Determination

description: Related Article: Leibo Tan, Jiaxin Chen, Xiaocui Liu, Alexander Matler, Nils Schopper, Maik Finze, Zhenyang Lin, Qing Ye|2024|J.Am.Chem.Soc.|146|31681|doi:10.1021/jacs.4c10145
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.j4h7qx
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Spain",
 "DatasetKey is one of (SANT Herbarium vascular plants collection, Sistema de Información de la vegetación Ibérica y Macaronésica, Colección de plantas vasculares del herbario de la Universitat de València (VAL), Herbario de la Universidad de Sevilla, Banco de Datos de la Biodiversidad de la Comunitat Valenciana, CSIC-Real Jardín Botánico-Colección de Plantas Vasculares (MA), Herbario de Plantas Vasculares de la Universidad de Salamanca: SALA, Herbario HSS Finca La Orden-Valdesequera (CICYTEX). Junta de Extremadura)",
 "Geometry POLYGON((1.53395 42.69573,0.56224 42.7241,-0.16831 41.5538,0.63317 40.58918,1.50558 40.97219,3.30004 41.68856,3.4348 42.59643,1.53395 42.69573))",
 "TaxonKey is Senecio lividus L."
 ]
}

 The dataset includes 53 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011458-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tqz652
title: Occurrence Download

description: A dataset containing 1363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina sphyraena Linnaeus, 1758",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1363 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011456-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3aase
title: Occurrence Download

description: A dataset containing 7204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arnoglossus laterna (Walbaum, 1792)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7204 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011457-241126133413365/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.27939709
title: Supplementary Table 1: Identified Mutations from Nutrient-rich spatial refuges buffer against extinction and promote evolutionary rescue in evolving microbial populations

description: Non-synonymous mutations detected in evolved clones (3 clones selected per evolved population)
DOI: 10.6084/m9.figshare.27939709.v1
title: Supplementary Table 1: Identified Mutations from Nutrient-rich spatial refuges buffer against extinction and promote evolutionary rescue in evolving microbial populations

description: Non-synonymous mutations detected in evolved clones (3 clones selected per evolved population)
DOI: 10.15468/dl.f6gdbk
title: Occurrence Download

description: A dataset containing 10849 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Dianthus seguieri Vill.)"
 ]
}

 The dataset includes 10849 records from 217 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011459-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/1451
title: How birds dissipate heat before, during and after flight

description: During flight, birds must dissipate heat to avoid hyperthermia. We used thermal imaging to determine the dissipation of heat from different body regions in lovebirds before, during and after flight. The high power demands of flight, resulted in a 19-fold increase in heat dissipation during, compared to after, flight, with most heat dissipated by convection from the lower surface of the wings. After flight, heat dissipation from the head and legs increased compared to before flight. Understanding the mechanisms through which birds dissipate heat is important in predicting how birds’ behaviour and survival may be impacted by climate change. This is the data set for the study.
DOI: 10.15468/dl.r4f8zt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((37.995 -4.408333, 37.995 -4.409167, 37.99417 -4.409167, 37.99417 -4.410833, 37.98833 -4.410833, 37.98833 -4.41, 37.9875 -4.41, 37.9875 -4.410833, 37.98667 -4.410833, 37.98667 -4.4125, 37.9875 -4.4125, 37.9875 -4.413333, 37.98833 -4.413333, 37.98833 -4.414167, 37.99 -4.414167, 37.99 -4.415833, 37.99083 -4.415833, 37.99083 -4.416667, 37.9925 -4.416667, 37.9925 -4.4175, 37.99333 -4.4175, 37.99333 -4.418333, 37.995 -4.418333, 37.995 -4.416667, 37.99667 -4.416667, 37.99667 -4.4175, 37.9975 -4.4175, 37.9975 -4.418333, 37.99917 -4.418333, 37.99917 -4.419167, 38.0025 -4.419167, 38.0025 -4.42, 38.00333 -4.42, 38.00333 -4.420833, 38.0025 -4.420833, 38.0025 -4.425, 38.00417 -4.425, 38.00417 -4.425833, 38.00583 -4.425833, 38.00583 -4.425, 38.00833 -4.425, 38.00833 -4.4275, 38.00917 -4.4275, 38.00917 -4.426667, 38.01083 -4.426667, 38.01083 -4.4275, 38.01167 -4.4275, 38.01167 -4.425833, 38.01417 -4.425833, 38.01417 -4.424167, 38.0125 -4.424167, 38.0125 -4.425, 38.01083 -4.425, 38.01083 -4.424167, 38.01 -4.424167, 38.01 -4.421667, 38.01083 -4.421667, 38.01083 -4.420833, 38.01 -4.420833, 38.01 -4.42, 38.0075 -4.42, 38.0075 -4.418333, 38.00667 -4.418333, 38.00667 -4.4175, 38.0075 -4.4175, 38.0075 -4.416667, 38.00917 -4.416667, 38.00917 -4.414167, 38.00833 -4.414167, 38.00833 -4.413333, 38.0075 -4.413333, 38.0075 -4.415, 38.005 -4.415, 38.005 -4.413333, 38.00417 -4.413333, 38.00417 -4.4125, 38.0025 -4.4125, 38.0025 -4.411667, 38.00167 -4.411667, 38.00167 -4.410833, 37.9975 -4.410833, 37.9975 -4.409167, 37.99667 -4.409167, 37.99667 -4.408333, 37.995 -4.408333))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011461-241126133413365/datasets/export for details.
DOI: 10.15468/dl.nzqpcr
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Raja kenojei Müller & Henle, 1841",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011462-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.en2gue
title: Occurrence Download

description: A dataset containing 465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "Country is one of (Spain, Portugal)",
 "DatasetKey is one of (Banco de Datos de la Biodiversidad de la Comunitat Valenciana, CSIC-Real Jardín Botánico-Anthos. Sistema de Información de las Plantas de España, Flora vascular de Mallorca, Illes Balears, CSIC-Real Jardín Botánico-Colección de Plantas Vasculares (MA))",
 "Geometry POLYGON((-9.69756 35.52297,4.9824 35.52297,4.9824 44.08133,-9.69756 44.08133,-9.69756 35.52297))",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio angulatus L.fil."
 ]
}

 The dataset includes 465 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011464-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfs7kp
title: Occurrence Download

description: A dataset containing 77572 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Long-term cetacean monitoring in the Azores based on whale watching observations (2009-2020)"
 ]
}

 The dataset includes 77572 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011460-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/dans-xam-n59y
title: Towards a regulatory framework for climate smart agriculture (part I: evaluation Australian carbon farming initiative)

description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under Marie Sklodowska curie grant agreement No. 655565.Between now and 2050, there will be a sharp increase in the demand of agricultural products due to an increase of the world’s population, the rise in global calorie intake due to greater affluence, and the production of bio-fuels. The increase in agricultural production will be accompanied by an increase in the emission of greenhouse gasses. Agriculture is responsible for 30% of global greenhouse emissions. Agriculture is not only a major cause of climate change but in many regions of the world, it is also seriously impacted by climate change. In many regions, produce will be negatively affected because of shifts in water availability, temperature shifts, and changes in the occurrence of pests.Policy documents, mostly by international institutions, have endorsed climate smart agriculture (CSA) as a means to achieve production growth, while at the same reducing the emission of greenhouse gasses and adapting the agricultural sector to the changing climate. However, it is as yet unclear through what legal mechanism CSA can be achieved. The key objective of this project is to identify the main elements of a regulatory framework that enables, facilitates and stimulates the transition of conventional farm practices toward ‘climate friendly’ practices in the EU. Various methodologies will be used, such as an evaluation of the Australian Carbon Farming Initiative Act, to date the world’s only comprehensive regulatory instrument aimed at facilitating climate smart agriculture.