cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.35yw55
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tunilla corrugata (Salm-Dyck) D.R.Hunt & Iliff)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051049-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twpjeg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.931571 -34.769992, 147.931571 -34.774484, 147.938308 -34.774484, 147.938308 -34.776729, 147.940554 -34.776729, 147.940554 -34.769992, 147.931571 -34.769992))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051051-240626123714530/datasets/export for details.
DOI: 10.15468/dl.ua8k63
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.322572 -37.009054, 144.322572 -37.011299, 144.320326 -37.011299, 144.320326 -37.013545, 144.31808 -37.013545, 144.31808 -37.020283, 144.313589 -37.020283, 144.313589 -37.029266, 144.31808 -37.029266, 144.31808 -37.02702, 144.320326 -37.02702, 144.320326 -37.015791, 144.331555 -37.015791, 144.331555 -37.013545, 144.324818 -37.013545, 144.324818 -37.009054, 144.322572 -37.009054))"
 ]
}

 The dataset includes 25 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051050-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ajeg29
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tunilla erectoclada (Backeb.) D.R.Hunt & Iliff)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051053-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11189690
title: Parameter files, result files, and simulated data set used in PIPI3

description: Parameter files, result files, and simulated data set used in PIPI3
DOI: 10.5281/zenodo.11189691
title: Parameter files, result files, and simulated data set used in PIPI3
DOI: 10.5281/zenodo.12700201
title: Parameter files, result files, and simulated data set used in PIPI3

description: Parameter files, result files, and simulated data set used in PIPI3
DOI: 10.5281/zenodo.13234666
title: Parameter files, result files, and simulated data set used in PIPI3

description: Parameter files, result files, and simulated data set used in PIPI3
DOI: 10.15468/dl.q58j6z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.731307 -37.020283, 144.731307 -37.022528, 144.738045 -37.022528, 144.738045 -37.020283, 144.731307 -37.020283))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051054-240626123714530/datasets/export for details.
DOI: 10.15468/dl.xv9n9d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.587344 -34.769992, 148.587344 -34.781221, 148.58959 -34.781221, 148.58959 -34.776729, 148.591836 -34.776729, 148.591836 -34.774484, 148.58959 -34.774484, 148.58959 -34.769992, 148.587344 -34.769992))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051055-240626123714530/datasets/export for details.
DOI: 10.15468/dl.4v2ydd
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Piper yunnanense Y.C.Tseng"
 ]
}

 The dataset includes 57 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051056-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejma5s
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tunilla orurensis (Cárdenas) D.R.Hunt & Iliff)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051057-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ewbwq
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tunilla soehrensii (Britton & Rose) D.R.Hunt & Iliff)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051058-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mjpnm
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.816648 -37.022528, 144.816648 -37.031512, 144.818894 -37.031512, 144.818894 -37.022528, 144.816648 -37.022528))"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051059-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ygug4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.922588 -34.774484, 147.922588 -34.781221, 147.924834 -34.781221, 147.924834 -34.774484, 147.922588 -34.774484))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051060-240626123714530/datasets/export for details.
DOI: 10.15468/dl.4ggqjn
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Turbinicarpus beguinii (N.P.Taylor) Mosco & Zanov.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 25 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051061-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11583/dtu.26195282
title: QM9 data for graph2mat

description: <br>
Creators
------------
Pol Febrer (pol.febrer@icn2.cat, ORCID 0000-0003-0904-2234)
Peter Bjorn Jorgensen (peterbjorgensen@gmail.com, ORCID 0000-0003-4404-7276)
Arghya Bhowmik (arbh@dtu.dk, ORCID 0000-0003-3198-5116)
<br>
Related publication
-------------------
The dataset is published as part of the paper:
"GRAPH2MAT: UNIVERSAL GRAPH TO MATRIX CONVERSION FOR ELECTRON DENSITY PREDICTION"
(https://doi.org/10.26434/chemrxiv-2024-j4g21)
<br>
Short description
------------------
This dataset contains the Hamiltonian, Overlap, Density and Energy Density matrices
from SIESTA calculations of the QM9 dataset (https://doi.org/10.6084/m9.figshare.c.978904.v5)
<br>
SIESTA 5.0.0 was used to compute the dataset.
<br>
Contents
-----------------
<br>
The dataset has four directories:
<br>
- basis: Contains the files specifying the basis used for each atom.
- pseudos: Contains the pseudopotentials used for the calculation (obtained from
http://www.pseudo-dojo.org/, type NC SR (ONCVPSP v0.5), PBE, standard accuracy)
- runs: The results of running the SIESTA simulations. Contents are discussed next.
- splits: The data splits used in the published paper. Each file "splits_X.json"
contains the splits for training size X.
<br>
The "runs" directory contains one directory for each run, named with the index
of the run. Each directory contains:
- RUN.fdf, geom.fdf: The input files used for the SIESTA calculation.
- RUN.out: The log of the SIESTA run, which apar
- siesta.TSDE: Contains the Density and Energy Density matrices.
- siesta.TSHS: Contains the Hamiltonian and Overlap matrices.
<br>
Each matrix can be read using the sisl python package (https://github.com/zerothi/sisl)
like:
<br>
```python
import sisl
<br>
matrix = sisl.get_sile("RUN.fdf").read_X()
```
<br>
where X is hamiltonian, overlap, density_matrix or energy_density_matrix.
<br>
To reproduce the results presented in the paper, follow the documentation of the graph2mat
package (https://github.com/BIG-MAP/graph2mat).
<br>
<br>
Cite this data
------------------
https://doi.org/10.11583/DTU.c.7310005
© 2024 Technical University of Denmark
<br>
<br>
License
-----------------
This dataset is published under the CC BY 4.0 license.
This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator.
<br>
DOI: 10.11583/dtu.26195282.v1
title: QM9 data for graph2mat

description: <br>
Creators
------------
Pol Febrer (pol.febrer@icn2.cat, ORCID 0000-0003-0904-2234)
Peter Bjorn Jorgensen (peterbjorgensen@gmail.com, ORCID 0000-0003-4404-7276)
Arghya Bhowmik (arbh@dtu.dk, ORCID 0000-0003-3198-5116)
<br>
Related publication
-------------------
The dataset is published as part of the paper:
"GRAPH2MAT: UNIVERSAL GRAPH TO MATRIX CONVERSION FOR ELECTRON DENSITY PREDICTION"
(https://doi.org/10.26434/chemrxiv-2024-j4g21)
<br>
Short description
------------------
This dataset contains the Hamiltonian, Overlap, Density and Energy Density matrices
from SIESTA calculations of the QM9 dataset (https://doi.org/10.6084/m9.figshare.c.978904.v5)
<br>
SIESTA 5.0.0 was used to compute the dataset.
<br>
Contents
-----------------
<br>
The dataset has four directories:
<br>
- basis: Contains the files specifying the basis used for each atom.
- pseudos: Contains the pseudopotentials used for the calculation (obtained from
http://www.pseudo-dojo.org/, type NC SR (ONCVPSP v0.5), PBE, standard accuracy)
- runs: The results of running the SIESTA simulations. Contents are discussed next.
- splits: The data splits used in the published paper. Each file "splits_X.json"
contains the splits for training size X.
<br>
The "runs" directory contains one directory for each run, named with the index
of the run. Each directory contains:
- RUN.fdf, geom.fdf: The input files used for the SIESTA calculation.
- RUN.out: The log of the SIESTA run, which apar
- siesta.TSDE: Contains the Density and Energy Density matrices.
- siesta.TSHS: Contains the Hamiltonian and Overlap matrices.
<br>
Each matrix can be read using the sisl python package (https://github.com/zerothi/sisl)
like:
<br>
```python
import sisl
<br>
matrix = sisl.get_sile("RUN.fdf").read_X()
```
<br>
where X is hamiltonian, overlap, density_matrix or energy_density_matrix.
<br>
To reproduce the results presented in the paper, follow the documentation of the graph2mat
package (https://github.com/BIG-MAP/graph2mat).
<br>
<br>
Cite this data
------------------
https://doi.org/10.11583/DTU.c.7310005
© 2024 Technical University of Denmark
<br>
<br>
License
-----------------
This dataset is published under the CC BY 4.0 license.
This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator.
<br>
DOI: 10.11583/dtu.26193278
title: Ethylene carbonate data for graph2mat

description: Creators
------------
Pol Febrer (pol.febrer@icn2.cat, ORCID 0000-0003-0904-2234)
Peter Bjorn Jorgensen (peterbjorgensen@gmail.com, ORCID 0000-0003-4404-7276)
Arghya Bhowmik (arbh@dtu.dk, ORCID 0000-0003-3198-5116)
<br>
Related publication
-------------------
The dataset is published as part of the paper:
"GRAPH2MAT: UNIVERSAL GRAPH TO MATRIX CONVERSION FOR ELECTRON DENSITY PREDICTION"
(https://doi.org/10.26434/chemrxiv-2024-j4g21)
https://github.com/BIG-MAP/graph2mat
<br>
Short description
------------------
This dataset contains the Hamiltonian, Overlap, Density and Energy Density matrices
from SIESTA calculations of a subset of the MD17 aspirin dataset. The subset is taken
from the third split in (https://doi.org/10.6084/m9.figshare.12672038.v3).
<br>
SIESTA 5.0.0 was used to compute the dataset.
<br>
Contents
-----------------
<br>
The dataset has two directories:
<br>
- pseudos: Contains the pseudopotentials used for the calculation (obtained from
http://www.pseudo-dojo.org/, type NC SR (ONCVPSP v0.5), PBE, standard accuracy)
- splits: The data splits used in the published paper. Each file "splits_X.json"
contains the splits for training size X.
<br>
And then, three directories containing the calculations with different basis sets:
- matrix_dataset_defsplit: Uses the default split-valence DZP basis in SIESTA.
- matrix_dataset_optimsplit: Uses a split-valence DZP basis optimized for aspirin.
- matrix_dataset_defnodes: Uses the default nodes DZP basis in SIESTA.
<br>
Each of the basis directories has two subdirectories:
- basis: Contains the files specifying the basis used for each atom.
- runs: The results of running the SIESTA simulations. Contents are discussed next.
<br>
The "runs" directory contains one directory for each run, named with the index
of the run. Each directory contains:
- RUN.fdf, geom.fdf: The input files used for the SIESTA calculation.
- RUN.out: The log of the SIESTA run, which apar
- siesta.TSDE: Contains the Density and Energy Density matrices.
- siesta.TSHS: Contains the Hamiltonian and Overlap matrices.
<br>
Each matrix can be read using the sisl python package (https://github.com/zerothi/sisl)
like:
<br>
```python
import sisl
<br>
matrix = sisl.get_sile("RUN.fdf").read_X()
```
<br>
where X is hamiltonian, overlap, density_matrix or energy_density_matrix.
<br>
To reproduce the results presented in the paper, follow the documentation of the graph2mat
package (https://github.com/BIG-MAP/graph2mat).
<br>
<br>
Cite this data
------------------
<br>
https://doi.org/10.11583/DTU.c.7310005
© 2024 Technical University of Denmark
<br>
<br>
License
-----------------
This dataset is published under the CC BY 4.0 license.
This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator.
<br>
DOI: 10.11583/dtu.26193278.v1
title: Ethylene carbonate data for graph2mat

description: Creators
------------
Pol Febrer (pol.febrer@icn2.cat, ORCID 0000-0003-0904-2234)
Peter Bjorn Jorgensen (peterbjorgensen@gmail.com, ORCID 0000-0003-4404-7276)
Arghya Bhowmik (arbh@dtu.dk, ORCID 0000-0003-3198-5116)
<br>
Related publication
-------------------
The dataset is published as part of the paper:
"GRAPH2MAT: UNIVERSAL GRAPH TO MATRIX CONVERSION FOR ELECTRON DENSITY PREDICTION"
(https://doi.org/10.26434/chemrxiv-2024-j4g21)
https://github.com/BIG-MAP/graph2mat
<br>
Short description
------------------
This dataset contains the Hamiltonian, Overlap, Density and Energy Density matrices
from SIESTA calculations of a subset of the MD17 aspirin dataset. The subset is taken
from the third split in (https://doi.org/10.6084/m9.figshare.12672038.v3).
<br>
SIESTA 5.0.0 was used to compute the dataset.
<br>
Contents
-----------------
<br>
The dataset has two directories:
<br>
- pseudos: Contains the pseudopotentials used for the calculation (obtained from
http://www.pseudo-dojo.org/, type NC SR (ONCVPSP v0.5), PBE, standard accuracy)
- splits: The data splits used in the published paper. Each file "splits_X.json"
contains the splits for training size X.
<br>
And then, three directories containing the calculations with different basis sets:
- matrix_dataset_defsplit: Uses the default split-valence DZP basis in SIESTA.
- matrix_dataset_optimsplit: Uses a split-valence DZP basis optimized for aspirin.
- matrix_dataset_defnodes: Uses the default nodes DZP basis in SIESTA.
<br>
Each of the basis directories has two subdirectories:
- basis: Contains the files specifying the basis used for each atom.
- runs: The results of running the SIESTA simulations. Contents are discussed next.
<br>
The "runs" directory contains one directory for each run, named with the index
of the run. Each directory contains:
- RUN.fdf, geom.fdf: The input files used for the SIESTA calculation.
- RUN.out: The log of the SIESTA run, which apar
- siesta.TSDE: Contains the Density and Energy Density matrices.
- siesta.TSHS: Contains the Hamiltonian and Overlap matrices.
<br>
Each matrix can be read using the sisl python package (https://github.com/zerothi/sisl)
like:
<br>
```python
import sisl
<br>
matrix = sisl.get_sile("RUN.fdf").read_X()
```
<br>
where X is hamiltonian, overlap, density_matrix or energy_density_matrix.
<br>
To reproduce the results presented in the paper, follow the documentation of the graph2mat
package (https://github.com/BIG-MAP/graph2mat).
<br>
<br>
Cite this data
------------------
<br>
https://doi.org/10.11583/DTU.c.7310005
© 2024 Technical University of Denmark
<br>
<br>
License
-----------------
This dataset is published under the CC BY 4.0 license.
This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator.
<br>
DOI: 10.11583/dtu.26195285
title: MD17 data for graph2mat

description: Creators
------------
Pol Febrer (pol.febrer@icn2.cat, ORCID 0000-0003-0904-2234)
Peter Bjorn Jorgensen (peterbjorgensen@gmail.com, ORCID 0000-0003-4404-7276)
Arghya Bhowmik (arbh@dtu.dk, ORCID 0000-0003-3198-5116)
<br>
Related publication
-------------------
The dataset is published as part of the paper:
"GRAPH2MAT: UNIVERSAL GRAPH TO MATRIX CONVERSION FOR ELECTRON DENSITY PREDICTION"
(https://doi.org/10.26434/chemrxiv-2024-j4g21)
https://github.com/BIG-MAP/graph2mat
<br>
Short description
------------------
This dataset contains the Hamiltonian, Overlap, Density and Energy Density matrices
from SIESTA calculations of a subset of the MD17 aspirin dataset. The subset is taken
from the third split in (https://doi.org/10.6084/m9.figshare.12672038.v3).
<br>
SIESTA 5.0.0 was used to compute the dataset.
<br>
Contents
-----------------
<br>
The dataset has two directories:
<br>
- pseudos: Contains the pseudopotentials used for the calculation (obtained from
http://www.pseudo-dojo.org/, type NC SR (ONCVPSP v0.5), PBE, standard accuracy)
- splits: The data splits used in the published paper. Each file "splits_X.json"
contains the splits for training size X.
<br>
And then, three directories containing the calculations with different basis sets:
- matrix_dataset_defsplit: Uses the default split-valence DZP basis in SIESTA.
- matrix_dataset_optimsplit: Uses a split-valence DZP basis optimized for aspirin.
- matrix_dataset_defnodes: Uses the default nodes DZP basis in SIESTA.
<br>
Each of the basis directories has two subdirectories:
- basis: Contains the files specifying the basis used for each atom.
- runs: The results of running the SIESTA simulations. Contents are discussed next.
<br>
The "runs" directory contains one directory for each run, named with the index
of the run. Each directory contains:
- RUN.fdf, geom.fdf: The input files used for the SIESTA calculation.
- RUN.out: The log of the SIESTA run, which apar
- siesta.TSDE: Contains the Density and Energy Density matrices.
- siesta.TSHS: Contains the Hamiltonian and Overlap matrices.
<br>
Each matrix can be read using the sisl python package (https://github.com/zerothi/sisl)
like:
<br>
```python
import sisl
<br>
matrix = sisl.get_sile("RUN.fdf").read_X()
```
<br>
where X is hamiltonian, overlap, density_matrix or energy_density_matrix.
<br>
To reproduce the results presented in the paper, follow the documentation of the graph2mat
package (https://github.com/BIG-MAP/graph2mat).
<br>
Cite this data
------------------
<br>
https://doi.org/10.11583/DTU.c.7310005
© 2024 Technical University of Denmark
<br>
<br>
License
-----------------
This dataset is published under the CC BY 4.0 license.
This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator.
<br>
DOI: 10.15468/dl.93vbzk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((143.422007 -37.024774, 143.422007 -37.02702, 143.424252 -37.02702, 143.424252 -37.024774, 143.422007 -37.024774))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051062-240626123714530/datasets/export for details.
DOI: 10.15468/dl.zjcvsd
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.866443 -34.776729, 147.866443 -34.783467, 147.868689 -34.783467, 147.868689 -34.787958, 147.866443 -34.787958, 147.866443 -34.790204, 147.868689 -34.790204, 147.868689 -34.799187, 147.870934 -34.799187, 147.870934 -34.796942, 147.875426 -34.796942, 147.875426 -34.790204, 147.877672 -34.790204, 147.877672 -34.781221, 147.875426 -34.781221, 147.875426 -34.776729, 147.866443 -34.776729))"
 ]
}

 The dataset includes 23 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051063-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzgq2d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Turbinicarpus klinkerianus Backeb. & H.Jacobsen)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051064-240626123714530/datasets/export for details.