cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13155034
title: Binary black-hole simulation SXS:BBH:2212

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155035
title: Binary black-hole simulation SXS:BBH:2243

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155036
title: Binary black-hole simulation SXS:BBH:2243

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155048
title: Binary black-hole simulation SXS:BBH:2232

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155049
title: Binary black-hole simulation SXS:BBH:2232

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.3cmwwq
title: Occurrence Download

description: A dataset containing 61456 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micropterus dolomieu Lacepède, 1802"
 ]
}

 The dataset includes 61456 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044748-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13155055
title: Binary black-hole simulation SXS:BBH:2195

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155056
title: Binary black-hole simulation SXS:BBH:2195

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155085
title: Binary black-hole simulation SXS:BBH:2178

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155086
title: Binary black-hole simulation SXS:BBH:2178

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155089
title: Binary black-hole simulation SXS:BBH:2218

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155090
title: Binary black-hole simulation SXS:BBH:2218

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.34740/kaggle/dsv/9084790
title: rhino horns
DOI: 10.5281/zenodo.13155091
title: Binary black-hole simulation SXS:BBH:2262

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155092
title: Binary black-hole simulation SXS:BBH:2262

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.rgn5d7
title: Occurrence Download

description: A dataset containing 50863 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "IucnRedListCategory is one of (CR, EN, VU)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 50863 records from 318 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044749-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13155095
title: Binary black-hole simulation SXS:BBH:2258

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155096
title: Binary black-hole simulation SXS:BBH:2258

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155097
title: Binary black-hole simulation SXS:BBH:2168

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155098
title: Binary black-hole simulation SXS:BBH:2168

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.624cg7
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Leopardus pardalis (Linnaeus, 1758)",
 "Year 1980-2024"
 ]
}

 The dataset includes 301 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044750-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13155099
title: Binary black-hole simulation SXS:BBH:2259

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155100
title: Binary black-hole simulation SXS:BBH:2259

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155103
title: Binary black-hole simulation SXS:BBH:2191

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155104
title: Binary black-hole simulation SXS:BBH:2191

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.18739/a2dz0337h
title: National Oceanic and Atmospheric Administration/ National Snow and Ice Data Center (NOAA/NSIDC) Climate Data Record of Passive Microwave Sea Ice Concentration, Version 4

description: This data set provides a Climate Data Record (CDR) of sea ice concentration from passive microwave data. The CDR algorithm output is a rule-based combination of ice concentration estimates from two well-established algorithms: the NASA Team (NT) algorithm (Cavalieri et al. 1984) and NASA Bootstrap (BT) algorithm (Comiso 1986). The CDR is a consistent, daily and monthly time series of sea ice concentrations from 25 October 1978 through the most recent processing for both the north and south polar regions. All data are on a 25 kilometer (km) x 25 km grid. Note: A near-real-time version of this data set also exists to fill the gap between the time that this data set is updated through to the present. The data set is called the Near-Real-Time National Oceanic and Atmospheric Administration/ National Snow and Ice Data Center (NOAA/NSIDC) Climate Data Record of Passive Microwave Sea Ice Concentration (https://nsidc.org/data/g10016).
DOI: 10.5281/zenodo.13155147
title: Binary black-hole simulation SXS:BBH:2182

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155148
title: Binary black-hole simulation SXS:BBH:2182

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155197
title: Binary black-hole simulation SXS:BBH:2234

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155198
title: Binary black-hole simulation SXS:BBH:2234

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155205
title: Binary black-hole simulation SXS:BBH:2197

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155206
title: Binary black-hole simulation SXS:BBH:2197

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155207
title: Binary black-hole simulation SXS:BBH:2229

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155208
title: Binary black-hole simulation SXS:BBH:2229

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155214
title: Binary black-hole simulation SXS:BBH:2236

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155215
title: Binary black-hole simulation SXS:BBH:2236

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.25345/c5bn9xf12
title: MassIVE MSV000095502 - Combining transcriptomics and metabolomics to assess neurodevelopmental alteration caused by in utero exposure of mice to three putative thyroid hormone system disruptors.
title: Gestating mice were exposed to three chemicals, tetrabromo-bisphenol A (TBBPA; 2 mg/kg/day)), amitrole (25 and 50 mg/kg/day) and pyraclostrobin (0.4 and 2 mg/kg/day) to assess their capacity to act as thyroid hormone disruptors and compromise neurodevelopment. Propyl-thio-uracyl, a known pharmacological inhibitor of thyroid gland secretion, was used at both high and low dose as a reference thyroid hormone disruptor (1 ppm, 1500 ppm). A combination of plasma metabolomics and striatum transcriptomics revealed the induced change in pups at the postnatal stages. Although the underlying mechanism is unlikely to involve thyroid hormone disruption, these chemicals had a detectable effect on pup neurodevelopment.
DOI: 10.5281/zenodo.13155218
title: Binary black-hole simulation SXS:BBH:2252

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155219
title: Binary black-hole simulation SXS:BBH:2252

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155220
title: Binary black-hole simulation SXS:BBH:2209

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155221
title: Binary black-hole simulation SXS:BBH:2209

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5066/p1qhst6f
title: Annual End-of-Summer Snow Cover on Glaciers in Alaska and Northwest Canada

description: This dataset contains observations of the distribution of end-of-summer snow cover on approximately 3000 glaciers across Alaska and Northwest Canada. The data are provided as: (1) GeoTIFF rasters indicating the spatial extent of end-of-summer snow cover on each glacier's surface in each year (one raster per glacier per year), and (2) yearly tables with the equilibrium line altitude and the accumulation area ratio of the glaciers derived from the snow cover extent geotiffs. Snow cover was identified in Sentinel-2 imagery using a random forest algorithm trained with a manually-created validation dataset. A series of post-processing steps were used to infill missing data from terrain shadowing and cloud cover, and to identify the imagery which best represented the end-of-summer, minimal snow cover extent on each glacier.
DOI: 10.5281/zenodo.13155224
title: Binary black-hole simulation SXS:BBH:2242

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155225
title: Binary black-hole simulation SXS:BBH:2242

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155226
title: Binary black-hole simulation SXS:BBH:2198

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155227
title: Binary black-hole simulation SXS:BBH:2198

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.urfkx8
title: Occurrence Download

description: A dataset containing 2086 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Leptonycteris yerbabuenae Martínez & Villa-R., 1940",
 "Year 1984-2024"
 ]
}

 The dataset includes 2086 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044755-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13155228
title: Binary black-hole simulation SXS:BBH:2239

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13155229
title: Binary black-hole simulation SXS:BBH:2239

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.jrjfm2
title: Occurrence Download

description: A dataset containing 34881 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calendula officinalis L."
 ]
}

 The dataset includes 34881 records from 681 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044753-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zcv46q
title: Occurrence Download

description: A dataset containing 18116843 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 18116843 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044730-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7wqr44
title: Occurrence Download

description: A dataset containing 12350 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astacus astacus (Linnaeus, 1758)"
 ]
}

 The dataset includes 12350 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005047-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hwwzzn
title: Occurrence Download

description: A dataset containing 913 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Antarctica, Asia, Oceania, Europe)",
 "Country is South Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oenothera rosea Aiton"
 ]
}

 The dataset includes 913 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005048-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udhh3h
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((30.29542 24.93592,130.70458 24.93592,130.70458 65.06408,30.29542 65.06408,30.29542 24.93592))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Glycyrrhiza uralensis Fisch."
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005049-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14749903
title: Data from: Impact of friction stir welding-like heat cycles on precipitates in AA7050 analysed by SAXS and numerical modelling

description: This dataset contains an exemplary dataset for the publication "Impact of friction stir welding-like heat cycles on precipitates in AA7050 analysed by SAXS and numerical modelling".
DOI: 10.5281/zenodo.14749904
title: Data from: Impact of friction stir welding-like heat cycles on precipitates in AA7050 analysed by SAXS and numerical modelling

description: This dataset contains an exemplary dataset for the publication "Impact of friction stir welding-like heat cycles on precipitates in AA7050 analysed by SAXS and numerical modelling".
DOI: 10.15468/dl.mpyec6
title: Occurrence Download

description: A dataset containing 545 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Introduced and Invasive Species - Alaska, United States (ver.2.0, 2022)"
 ]
}

 The dataset includes 545 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005050-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7wgay
title: Occurrence Download

description: A dataset containing 4960 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SPW ARNE-DNF : Occurrences of introduced species along roadsides in Wallonia"
 ]
}

 The dataset includes 4960 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005051-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.be36va
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((103.5533 12.35478, 103.5471 12.35495, 103.5408 12.35348, 103.5365 12.35449, 103.5337 12.35044, 103.5355 12.34457, 103.5355 12.33978, 103.5332 12.33785, 103.5312 12.34058, 103.5288 12.34419, 103.5261 12.34479, 103.5254 12.34075, 103.5246 12.33781, 103.5204 12.33669, 103.519 12.33654, 103.5182 12.33367, 103.5206 12.32725, 103.5324 12.32315, 103.5424 12.32402, 103.5536 12.32996, 103.5525 12.33761, 103.5482 12.34121, 103.5471 12.34613, 103.5533 12.35478))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005052-250127130748423/datasets/export for details.
DOI: 10.5281/zenodo.14767952
title: A Unified Theory of Cosmic Resistance and Mass-Energy Equivalence

description: "This research introduces the cosmic resistance parameter (g), a new physical quantity that unifies mass-energy equivalence with cosmic expansion dynamics. By reinterpreting Einstein’s equation , this theory proposes a geometric framework linking inertia to cosmology. The model aligns with the Friedmann equations and offers a testable alternative to dark energy, predicting observable effects in galaxy clusters and gravitational lensing. Future research will focus on empirical validation and integration into quantum gravity frameworks.
DOI: 10.5281/zenodo.14767953
title: A Unified Theory of Cosmic Resistance and Mass-Energy Equivalence

description: "This research introduces the cosmic resistance parameter (g), a new physical quantity that unifies mass-energy equivalence with cosmic expansion dynamics. By reinterpreting Einstein’s equation , this theory proposes a geometric framework linking inertia to cosmology. The model aligns with the Friedmann equations and offers a testable alternative to dark energy, predicting observable effects in galaxy clusters and gravitational lensing. Future research will focus on empirical validation and integration into quantum gravity frameworks.
DOI: 10.5281/zenodo.11543503
title: Design of linear and cyclic peptide binders

description: The data is compressed with zstd: https://github.com/facebook/zstd and tar. To uncompress do: 

tar --use-compress-program full/path/to/zstd -xvf file.tar.zst

PDB files of predicted protein-peptide complexes from the design process:

1.1G    1ssc_untargeted_cyclic_afm.tar.zst 1.1G    1ssc_untargeted_cyclic.tar.zst1.1G    1ssc_untargeted_linear_afm.tar.zst1.1G    1ssc_untargeted_linear.tar.zst

Selected PDB files of predicted protein-peptide complexes from the design process:

(440 KB each). 1ssc_adversarial_linear_sel, 1ssc_tp_cyclic_sel, 1ssc_tp_linear_sel

Metrics:

1ssc_cyclic_merged_with_solubility.csv  - all cyclic design metriccs

1ssc_linear_merged_with_solubility.csv - all linear design metriccs

1ssc_linear_adversarial_sel.csv - adversarial selection for linear design

1ssc_linear_tp_sel.csv - top selection for linear design

linear_spr_results_summary.csv - SPR affinities for linear top and adversarial selection (Kd)

1ssc_cyclic_tp_sel.csv - top selection for cyclic design
DOI: 10.5281/zenodo.13913345
title: Design of linear and cyclic peptide binders

description: The data is compressed with zstd: https://github.com/facebook/zstd and tar. To uncompress do: 

tar --use-compress-program full/path/to/zstd -xvf file.tar.zst

PDB files of predicted protein-peptide complexes from the design process:

1.1G    1ssc_untargeted_cyclic_afm.tar.zst 1.1G    1ssc_untargeted_cyclic.tar.zst1.1G    1ssc_untargeted_linear_afm.tar.zst1.1G    1ssc_untargeted_linear.tar.zst

Selected PDB files of predicted protein-peptide complexes from the design process:

(440 KB each). 1ssc_adversarial_linear_sel, 1ssc_tp_cyclic_sel, 1ssc_tp_linear_sel

Metrics:

1ssc_cyclic_merged_with_solubility.csv  - all cyclic design metriccs

1ssc_linear_merged_with_solubility.csv - all linear design metriccs

1ssc_linear_adversarial_sel.csv - adversarial selection for linear design

1ssc_linear_tp_sel.csv - top selection for linear design

linear_spr_results_summary.csv - SPR affinities for linear top and adversarial selection (Kd)

1ssc_cyclic_tp_sel.csv - top selection for cyclic design

cyclic_spr_results_summary.csv - SPR affinities for the experimentally evaluated cyclic peptides (Kd)
DOI: 10.5281/zenodo.11543502
title: Design of linear and cyclic peptide binders

description: The data is compressed with zstd: https://github.com/facebook/zstd and tar. To uncompress do: 

tar --use-compress-program full/path/to/zstd -xvf file.tar.zst

PDB files of predicted protein-peptide complexes from the design process:

1.1G    1ssc_untargeted_cyclic_afm.tar.zst 1.1G    1ssc_untargeted_cyclic.tar.zst1.1G    1ssc_untargeted_linear_afm.tar.zst1.1G    1ssc_untargeted_linear.tar.zst

Selected PDB files of predicted protein-peptide complexes from the design process:

(440 KB each). 1ssc_adversarial_linear_sel, 1ssc_tp_cyclic_sel, 1ssc_tp_linear_sel

Metrics:

1ssc_cyclic_merged_with_solubility.csv  - all cyclic design metriccs

1ssc_linear_merged_with_solubility.csv - all linear design metriccs

1ssc_linear_adversarial_sel.csv - adversarial selection for linear design

1ssc_linear_tp_sel.csv - top selection for linear design

spr_results.csv - SPR affinities (Kd)

1ssc_cyclic_tp_sel.csv - top selection for cyclic design

linear_top_adversarial_pae.csv - PAE scores for linear top and adversarial designs
DOI: 10.5281/zenodo.14771076
title: Design of linear and cyclic peptide binders

description: The data is compressed with zstd: https://github.com/facebook/zstd and tar. To uncompress do: 

tar --use-compress-program full/path/to/zstd -xvf file.tar.zst

PDB files of predicted protein-peptide complexes from the design process:

1.1G    1ssc_untargeted_cyclic_afm.tar.zst 1.1G    1ssc_untargeted_cyclic.tar.zst1.1G    1ssc_untargeted_linear_afm.tar.zst1.1G    1ssc_untargeted_linear.tar.zst

Selected PDB files of predicted protein-peptide complexes from the design process:

(440 KB each). 1ssc_adversarial_linear_sel, 1ssc_tp_cyclic_sel, 1ssc_tp_linear_sel

Metrics:

1ssc_cyclic_merged_with_solubility.csv  - all cyclic design metriccs

1ssc_linear_merged_with_solubility.csv - all linear design metriccs

1ssc_linear_adversarial_sel.csv - adversarial selection for linear design

1ssc_linear_tp_sel.csv - top selection for linear design

spr_results.csv - SPR affinities (Kd)

1ssc_cyclic_tp_sel.csv - top selection for cyclic design

linear_top_adversarial_pae.csv - PAE scores for linear top and adversarial designs
DOI: 10.15468/dl.s8uayh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((103.6497 12.36758, 103.6521 12.36903, 103.6525 12.37156, 103.6503 12.3721, 103.6464 12.37229, 103.6416 12.37083, 103.6391 12.37054, 103.6379 12.36848, 103.6397 12.3661, 103.6392 12.36275, 103.6367 12.36061, 103.6294 12.36058, 103.6214 12.36013, 103.6139 12.36125, 103.6089 12.36314, 103.6006 12.36556, 103.5948 12.36847, 103.5881 12.37117, 103.5882 12.36536, 103.5898 12.36461, 103.5933 12.3632, 103.5947 12.35978, 103.5977 12.35987, 103.6004 12.35831, 103.598 12.35467, 103.6025 12.35244, 103.6036 12.35648, 103.6064 12.35601, 103.6105 12.35549, 103.6142 12.35578, 103.6184 12.35539, 103.621 12.3537, 103.6193 12.35054, 103.6214 12.34911, 103.6234 12.35152, 103.6266 12.35044, 103.6306 12.34896, 103.6301 12.35114, 103.6298 12.35395, 103.6319 12.35594, 103.6352 12.35705, 103.6384 12.35666, 103.64 12.35441, 103.6437 12.35272, 103.646 12.35286, 103.6478 12.35499, 103.6414 12.36199, 103.6408 12.36398, 103.642 12.3659, 103.6451 12.36626, 103.6472 12.36449, 103.649 12.36478, 103.6497 12.36758))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005053-250127130748423/datasets/export for details.