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

description: A dataset containing 280 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Triturus pygmaeus (Wolterstorff, 1905)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 280 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026338-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4hcadu
title: Occurrence Download

description: A dataset containing 1660 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helanthium tenellum (Mart. ex Schult.f.) J.G.Sm."
 ]
}

 The dataset includes 1660 records from 212 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026339-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.apsfr9
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sagittaria ambigua J.G.Sm."
 ]
}

 The dataset includes 141 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026342-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uhr33w
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Iberochondrostoma lemmingii (Steindachner, 1866)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026341-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsar93
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erinaceus algirus Lereboullet, 1842",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026343-241024112534372/datasets/export for details.
DOI: 10.15468/dl.74xyra
title: Occurrence Download

description: A dataset containing 2086 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zamenis longissimus (Laurenti, 1768)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 2086 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026344-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdz6wm
title: Occurrence Download

description: A dataset containing 289 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Michelia floribunda Finet & Gagnep."
 ]
}

 The dataset includes 289 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026345-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.652uma
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.748422 -32.510718, 149.748422 -32.51521, 149.752914 -32.51521, 149.752914 -32.510718, 149.748422 -32.510718))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055082-240626123714530/datasets/export for details.
DOI: 10.15468/dl.6hgh5d
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((143.316454 -36.775491, 143.316454 -36.777736, 143.320946 -36.777736, 143.320946 -36.782228, 143.329929 -36.782228, 143.329929 -36.777736, 143.327683 -36.777736, 143.327683 -36.775491, 143.316454 -36.775491))"
 ]
}

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055083-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.84za62
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.793338 -32.510718, 149.793338 -32.512964, 149.791093 -32.512964, 149.791093 -32.51521, 149.804567 -32.51521, 149.804567 -32.512964, 149.800076 -32.512964, 149.800076 -32.510718, 149.793338 -32.510718))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055084-240626123714530/datasets/export for details.
DOI: 10.15468/dl.f4vmun
title: Occurrence Download

description: A dataset containing 4060 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong)",
 "OccurrenceStatus is Present",
 "TaxonKey is Camellia oleifera Abel."
 ]
}

 The dataset includes 4060 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055085-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejymqb
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((146.015904 -36.784474, 146.015904 -36.791211, 146.013659 -36.791211, 146.013659 -36.797949, 146.015904 -36.797949, 146.015904 -36.793457, 146.022642 -36.793457, 146.022642 -36.791211, 146.020396 -36.791211, 146.020396 -36.784474, 146.015904 -36.784474))"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055086-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shwqrc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.339687 -32.512964, 149.339687 -32.519701, 149.344179 -32.519701, 149.344179 -32.51521, 149.341933 -32.51521, 149.341933 -32.512964, 149.339687 -32.512964))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055087-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.12905697
title: Intemap 500

description: The INTERMAP Study is an international co-operative epidemiological investigation into macro- and micronutrient intakes and other factors influencing blood pressure levels of individuals (Stamler, et al., 2003). It enrolled men and women ages 40-59 years. The urine samples (based on 24-hour urine collection) selected for this dataset relate to the USA arm of the study from which 150 participants with obesity (body mass index, BMI > 30) and 150 participants with healthy weight (BMI between 18.5 and 25).
DOI: 10.5281/zenodo.12905695
title: MetaboScope: A statistical toolbox for analyzing 1H nuclear magnetic resonance spectra from human clinical studies.

description: MetaboScope is purposefully built as a pipeline where each module accepts the output generated by the previous one. This provides flexibility and simplicity of use, while being straightforward to maintain. The system and its libraries were developed in JavaScript and run as a web app; therefore, all the operations are performed on the local computer, circumventing the need to upload data. The code is open source (DOI: https://www.cheminfo.org/flavor/metabolomics/index.html) and can be readily installed locally. We provide module notes and video tutorials, in addition to clinical spectral datasets for modelling purposes.

View data:

https://www.nmrium.org/nmrium#?toc=https://zenodo.org/api/records/12916741/files/toc.json/content
DOI: 10.5281/zenodo.12916741
title: MetaboScope: A statistical toolbox for analyzing 1H nuclear magnetic resonance spectra from human clinical studies.

description: MetaboScope is purposefully built as a pipeline where each module accepts the output generated by the previous one. This provides flexibility and simplicity of use, while being straightforward to maintain. The system and its libraries were developed in JavaScript and run as a web app; therefore, all the operations are performed on the local computer, circumventing the need to upload data. The code is open source (DOI: https://www.cheminfo.org/flavor/metabolomics/index.html) and can be readily installed locally. We provide module notes and video tutorials, in addition to clinical spectral datasets for modelling purposes.

View data:

https://www.nmrium.org/nmrium#?toc=https://zenodo.org/api/records/12916741/files/toc.json/content
DOI: 10.5281/zenodo.13254124
title: MetaboScope: A statistical toolbox for analyzing 1H nuclear magnetic resonance spectra from human clinical studies.

description: MetaboScope is purposefully built as a pipeline where each module accepts the output generated by the previous one. This provides flexibility and simplicity of use, while being straightforward to maintain. The system and its libraries were developed in JavaScript and run as a web app; therefore, all the operations are performed on the local computer, circumventing the need to upload data. The code is open source (DOI: https://www.cheminfo.org/flavor/metabolomics/index.html) and can be readily installed locally. We provide module notes and video tutorials, in addition to clinical spectral datasets for modelling purposes.

View data:

https://www.nmrium.org/nmrium#?toc=https://zenodo.org/api/records/12916741/files/toc.json/content
DOI: 10.15468/dl.q3ykct
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((143.145773 -36.78672, 143.145773 -36.791211, 143.154757 -36.791211, 143.154757 -36.78672, 143.145773 -36.78672))"
 ]
}

 The dataset includes 36 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055088-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37bws4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.438502 -32.512964, 149.438502 -32.517456, 149.440748 -32.517456, 149.440748 -32.512964, 149.438502 -32.512964))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055089-240626123714530/datasets/export for details.
DOI: 10.15468/dl.ckuaqd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((145.676789 -36.791211, 145.676789 -36.793457, 145.68128 -36.793457, 145.68128 -36.791211, 145.676789 -36.791211))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055090-240626123714530/datasets/export for details.
DOI: 10.15468/dl.3ke9hq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.631641 -32.512964, 149.633887 -32.512964, 149.633887 -32.510718, 149.631641 -32.510718, 149.631641 -32.512964)), ((149.631641 -32.512964, 149.627149 -32.512964, 149.627149 -32.519701, 149.631641 -32.519701, 149.631641 -32.512964)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055091-240626123714530/datasets/export for details.
DOI: 10.15468/dl.6utmh3
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((145.539795 -36.791211, 145.539795 -36.797949, 145.544287 -36.797949, 145.544287 -36.800194, 145.546532 -36.800194, 145.546532 -36.791211, 145.539795 -36.791211))"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055093-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11192163
title: Dataset- Unraveling the Molecular Complexity of N-Terminus Huntingtin Oligomers: Insights into Polymorphic Structures

description: This dataset contains self-assembly simulations of oligomeric huntingtin with varying polyQ lengths, related to "Unraveling the Molecular Complexity of N-Terminus Huntingtin Oligomers: Insights into Polymorphic Structures". Peptide systems are of N17+ polyQ, with polyQ adopting lengths between 7 to 45 repeats.
DOI: 10.5281/zenodo.11192164
title: Dataset- Unraveling the Molecular Complexity of N-Terminus Huntingtin Oligomers: Insights into Polymorphic Structures

description: This dataset contains self-assembly simulations of oligomeric huntingtin with varying polyQ lengths, related to "Unraveling the Molecular Complexity of N-Terminus Huntingtin Oligomers: Insights into Polymorphic Structures". Peptide systems are of N17+ polyQ, with polyQ adopting lengths between 7 to 45 repeats.
DOI: 10.15468/dl.ra5b3n
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.710244 -32.519701, 149.714735 -32.519701, 149.714735 -32.51521, 149.710244 -32.51521, 149.710244 -32.519701)), ((149.710244 -32.519701, 149.707998 -32.519701, 149.707998 -32.521947, 149.710244 -32.521947, 149.710244 -32.519701)), ((149.714735 -32.51521, 149.716981 -32.51521, 149.716981 -32.519701, 149.719227 -32.519701, 149.719227 -32.521947, 149.723719 -32.521947, 149.723719 -32.519701, 149.725964 -32.519701, 149.725964 -32.512964, 149.723719 -32.512964, 149.723719 -32.510718, 149.719227 -32.510718, 149.719227 -32.506227, 149.714735 -32.506227, 149.714735 -32.510718, 149.716981 -32.510718, 149.716981 -32.512964, 149.714735 -32.512964, 149.714735 -32.51521)))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055094-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/csc2.obs.17130
title: Chandra X-ray Observatory ObsId 17130

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.08916
title: Chandra X-ray Observatory ObsId 08916

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.15003
title: Chandra X-ray Observatory ObsId 15003

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.05705
title: Chandra X-ray Observatory ObsId 05705

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.22529
title: Chandra X-ray Observatory ObsId 22529

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.02989
title: Chandra X-ray Observatory ObsId 02989

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.04562
title: Chandra X-ray Observatory ObsId 04562

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.11563
title: Chandra X-ray Observatory ObsId 11563

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.18099
title: Chandra X-ray Observatory ObsId 18099

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.17022
title: Chandra X-ray Observatory ObsId 17022

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.14209
title: Chandra X-ray Observatory ObsId 14209

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.12753
title: Chandra X-ray Observatory ObsId 12753

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.14210
title: Chandra X-ray Observatory ObsId 14210

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.13199
title: Chandra X-ray Observatory ObsId 13199

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.16573
title: Chandra X-ray Observatory ObsId 16573

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.23775
title: Chandra X-ray Observatory ObsId 23775

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.10740
title: Chandra X-ray Observatory ObsId 10740

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.15329
title: Chandra X-ray Observatory ObsId 15329

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.21491
title: Chandra X-ray Observatory ObsId 21491

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.16082
title: Chandra X-ray Observatory ObsId 16082

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.05936
title: Chandra X-ray Observatory ObsId 05936

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.11702
title: Chandra X-ray Observatory ObsId 11702

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.18038
title: Chandra X-ray Observatory ObsId 18038

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.19463
title: Chandra X-ray Observatory ObsId 19463

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.05726
title: Chandra X-ray Observatory ObsId 05726

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".