cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.nvze2n
title: Occurrence Download

description: A dataset containing 4002 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sistrurus catenatus (Rafinesque, 1818)"
 ]
}

 The dataset includes 4002 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0143184-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/ohi23z/zc47a8
title: MB_SMB_D_BMB.csv

description: MB CSV. Git hash: 20af941
DOI: 10.15468/dl.skqk5e
title: Occurrence Download

description: A dataset containing 431092 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Convolvulus arvensis L."
 ]
}

 The dataset includes 431092 records from 2179 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0257773-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.1.4921.0001
title: IOC Medical Commission, Doping Control Laboratory Accreditation, Zagreb, Croatia, 1987
DOI: 10.15468/dl.nf8udy
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudochama corbierei",
 "Country is Israel",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000087-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yz36im
title: Occurrence Download

description: A dataset containing 1398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "TaxonKey is Claravis pretiosa (Ferrari-Pérez, 1886)"
 ]
}

 The dataset includes 1398 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010256-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ehesz2
title: Occurrence Download

description: A dataset containing 531 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cymbula miniata (Born, 1778)"
 ]
}

 The dataset includes 531 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0277616-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.grgr9t
title: Occurrence Download

description: A dataset containing 7652 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dolichandra unguis-cati (L.) L.G.Lohmann"
 ]
}

 The dataset includes 7652 records from 318 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290283-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.45jetz
title: Occurrence Download

description: A dataset containing 44351 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ricinus communis L."
 ]
}

 The dataset includes 44351 records from 659 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0309105-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yy3dpz
title: Occurrence Download

description: A dataset containing 4147134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4147134 records from 1619 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0228043-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6vmfhj
title: Occurrence Download

description: A dataset containing 2964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asarum europaeum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 2964 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015843-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v473ts
title: Occurrence Download

description: A dataset containing 38467 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chenopodiastrum hybridum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 38467 records from 585 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015844-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17512859
title: The dataset related to "MaNGA DynPop. VII. A Unified Bulge–Disk–Halo Model for Explaining Diversity in Circular Velocity Curves of 6000 Spiral and Early-type Galaxies"

description: NOTE: We have now included two additional models, the power-law (PL) models from MaNGA DynPop V, in this version of the catalog. The Python script has also been updated accordingly.

This data release presents the JAM-derived mass distributions in the MaNGA DynPop project (https://manga-dynpop.github.io). We provide the MGE (Multi-Gaussian Expansion) fits and a Python script to calculate various mass distributions (e.g. surface density maps, mass density profiles, kinematics maps). The use of these mass distributions requires citation of this work (https://ui.adsabs.harvard.edu/abs/2025ApJS..280...55Z/abstract) and the pertinent catalog paper:

the MFL, NFW, fixedNFW, gNFW models: https://ui.adsabs.harvard.edu/abs/2023MNRAS.522.6326Z/abstract.  

the PL models: https://ui.adsabs.harvard.edu/abs/2024MNRAS.530.4474L/abstract.

 

Below are the descriptions of the files:



JAM_MassDistribution.py, util_dm.py, util_mge.py: The Python scripts to calculate mass distributions.

Demo.ipynb: A Jupyter notebook for how to calculate mass distributions.

SDSSDR17_MaNGA_MGE.zip: The MGE coefficients in SDSS r-band.  It must be unzipped before running the Python script.

SDSSDR17_MaNGA_JAM.fits: The catalog of eight models that has been provided in MaNGA DynPop I .

SDSSDR17_MaNGA_JAM_v2.fits: The updated catalog of ten models, including eight models provided in MaNGA DynPop I  and two models (the PL models) provided in MaNGA DynPop V. The original eight models remain unchanged.

SDSSDR17_MaNGA_JAM_v2_datamodel.pdf: The data model of the v2 catalog.

SDSSDR17_MaNGA_gNFW_cyl_Vcirc_ApJS.txt: The catalog that has been provided in MaNGA DynPop VII .

SDSSDR17_MaNGA_JAM_Quality.pdf: (Optional) A PDF file containing images, the MGEs,  observed and JAM-derived (mass-follows-light model) stellar kinematics (e.g. the root-mean-square velocity Vrms and line-of-sight velocity) for each galaxy. The quality (keyword: Qual) of JAM fits are based on the comparisons between the observed and modelled kinematics.

SDSSDR17_MaNGA_JAM_Quality.zip: (Optional) The jpeg files containing images, the MGEs,  observed and JAM-derived (mass-follows-light model) stellar kinematics (e.g. the root-mean-square velocity Vrms and line-of-sight velocity) for each galaxy. The name of each jpeg file is based on the MaNGA "PlateIFU" (e.g. 7443-1901.jpg). The quality (keyword: Qual) of JAM fits are based on the comparisons between the observed and modelled kinematics.
DOI: 10.5281/zenodo.17518315
title: The dataset related to "MaNGA DynPop. VII. A Unified Bulge–Disk–Halo Model for Explaining Diversity in Circular Velocity Curves of 6000 Spiral and Early-type Galaxies"

description: NOTE: We have now included two additional models, the power-law (PL) models from MaNGA DynPop V, in this version of the catalog. The Python script has also been updated accordingly.

This data release presents the JAM-derived mass distributions in the MaNGA DynPop project (https://manga-dynpop.github.io). We provide the MGE (Multi-Gaussian Expansion) fits and a Python script to calculate various mass distributions (e.g. surface density maps, mass density profiles, kinematics maps). The use of these mass distributions requires citation of this work (https://ui.adsabs.harvard.edu/abs/2025ApJS..280...55Z/abstract) and the pertinent catalog paper:

the MFL, NFW, fixedNFW, gNFW models: https://ui.adsabs.harvard.edu/abs/2023MNRAS.522.6326Z/abstract.  

the PL models: https://ui.adsabs.harvard.edu/abs/2024MNRAS.530.4474L/abstract.

 

Below are the descriptions of the files:



JAM_MassDistribution.py, util_dm.py, util_mge.py: The Python scripts to calculate mass distributions.

Demo.ipynb: A Jupyter notebook for how to calculate mass distributions.

SDSSDR17_MaNGA_MGE.zip: The MGE coefficients in SDSS r-band.  It must be unzipped before running the Python script.

SDSSDR17_MaNGA_JAM.fits: The catalog of eight models that has been provided in MaNGA DynPop I .

SDSSDR17_MaNGA_JAM_v2.fits: The updated catalog of ten models, including eight models provided in MaNGA DynPop I  and two models (the PL models) provided in MaNGA DynPop V. The original eight models remain unchanged.

SDSSDR17_MaNGA_JAM_v2_datamodel.pdf: The data model of the v2 catalog.

SDSSDR17_MaNGA_gNFW_cyl_Vcirc_ApJS.txt: The catalog that has been provided in MaNGA DynPop VII .

SDSSDR17_MaNGA_JAM_Quality.pdf: (Optional) A PDF file containing images, the MGEs,  observed and JAM-derived (mass-follows-light model) stellar kinematics (e.g. the root-mean-square velocity Vrms and line-of-sight velocity) for each galaxy. The quality (keyword: Qual) of JAM fits are based on the comparisons between the observed and modelled kinematics.

SDSSDR17_MaNGA_JAM_Quality.zip: (Optional) The jpeg files containing images, the MGEs,  observed and JAM-derived (mass-follows-light model) stellar kinematics (e.g. the root-mean-square velocity Vrms and line-of-sight velocity) for each galaxy. The name of each jpeg file is based on the MaNGA "PlateIFU" (e.g. 7443-1901.jpg). The quality (keyword: Qual) of JAM fits are based on the comparisons between the observed and modelled kinematics.
DOI: 10.5281/zenodo.17484477
title: High-fidelity modeling of laser powder bed fusion: coupling absorption, vaporization, and powder heat transfer
DOI: 10.5281/zenodo.17484478
title: High-fidelity modeling of laser powder bed fusion: coupling absorption, vaporization, and powder heat transfer
DOI: 10.15468/dl.z7tfke
title: Occurrence Download

description: A dataset containing 304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pseudemys"
 ]
}

 The dataset includes 304 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008269-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17455921
title: Computational Data: Thickness-driven modulation of electronic transport in SnSe2-grown films by low-temperature atomic layer deposition

description: Low-temperature atomic layer deposition (ALD) is increasingly important for the integration of layered metal dichalcogenides such as tin diselenide (SnSe₂) into advanced nanoelectronic devices, where compatibility with temperature-sensitive substrates and precise thickness control are essential. Using a novel and highly reactive selenium precursor, namely, bis(trimethylstannyl)selenide or Se(SnMe3)2, SnSe2 films were deposited at reduced temperatures. As-deposited films are initially amorphous; however, post-deposition annealing at 250 °C induces crystallization. Structural analysis reveals a clear evolution in crystallinity: ultrathin films (~25 nm) exhibit nearly single-crystalline, defect-free domains, while thicker films (~100 nm) transition to a polycrystalline structure. This controlled variation in crystal quality directly influences the electronic transport properties, demonstrating the potential of low-temperature ALD combined with mild annealing for scalable fabrication of high-performance, thickness-engineered SnSe2-based devices.
DOI: 10.15468/dl.yqphez
title: Occurrence Download

description: A dataset containing 5544 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Sagittaria montevidensis"
 ]
}

 The dataset includes 5544 records from 299 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008268-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whcnb6
title: Occurrence Download

description: A dataset containing 72450 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pomoxis nigromaculatus (Lesueur, 1829)"
 ]
}

 The dataset includes 72450 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014467-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxngbd
title: Occurrence Download

description: A dataset containing 64342 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eulimidae"
 ]
}

 The dataset includes 64342 records from 466 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002838-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112036842
title: Cuneiform Tablet 1913.14.1685, Spurlock 1913.14.1685

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1685; CDLI P421536 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/1.5) ❧ [Physical Object Note:] 3.2 x 2.2 x 1.6 cm (10 g)
DOI: 10.15468/dl.wh6abv
title: Occurrence Download

description: A dataset containing 270745 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Puffinus griseus (Gmelin, 1789)"
 ]
}

 The dataset includes 270745 records from 303 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0378338-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nw5zqx
title: Occurrence Download

description: A dataset listing the 68 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((466.76887 8.46543,467.37309 10.42163,467.47219 10.46267,467.54783 10.50626,467.49828 10.57549,467.43829 10.68828,467.33667 10.74984,467.12594 10.79108,466.97007 10.56493,467.01604 10.44179,466.81677 9.80788,466.2831 8.64437,466.76887 8.46543))",
 "HasGeospatialIssue is false",
 "TaxonKey is Mammalia"
 ]
}

 The dataset's 68 records were derived from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0183647-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a38v2m
title: Occurrence Download

description: A dataset containing 135259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 135259 records from 1110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0382827-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112036928
title: Cuneiform Tablet 1913.14.1685, Spurlock 1913.14.1685

description: [Text Description:] Administrative tablet ❧ [Text or Publication Number Note:] Spurlock 1913.14.1685; CDLI P421536 ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Yellowish White (10YR 9/1.5) ❧ [Physical Object Note:] 3.2 x 2.2 x 1.6 cm (10 g)
DOI: 10.15468/dl.sp3ysx
title: Occurrence Download

description: A dataset containing 4290318 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Pinaceae)"
 ]
}

 The dataset includes 4290318 records from 3173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038107-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0158239.10fu
title: SH0158239.10FU

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: 10.34740/kaggle/dsv/14442768
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.15156/bio/sh0158240.10fu
title: SH0158240.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.8xbkbv
title: Occurrence Download

description: A dataset containing 8282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Viet Nam",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scolopacidae",
 "Year 2002-2025"
 ]
}

 The dataset includes 8282 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000923-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0158241.10fu
title: SH0158241.10FU

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/sh0158242.10fu
title: SH0158242.10FU

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/sh0158243.10fu
title: SH0158243.10FU

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.