cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8vnm9u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clarias gariepinus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033703-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17611792
title: مروری فشرده بر جنگ جهانی اول
title: ریشه های جنگ جهانی اول

description: این مقاله راجع به جنگ جهانی اول می باشد و به طور فشرده به ریشه یابی این جنگ، وضیعیت نیروی درگیر در جنگ و اهداف آنها پرداخته است
DOI: 10.5281/zenodo.17611793
title: مروری فشرده بر جنگ جهانی اول
title: ریشه های جنگ جهانی اول

description: این مقاله راجع به جنگ جهانی اول می باشد و به طور فشرده به ریشه یابی این جنگ، وضیعیت نیروی درگیر در جنگ و اهداف آنها پرداخته است
DOI: 10.6084/m9.figshare.30621683
title: Cleaned/final datasets

description: (1) data.csv: contains nest temperature and attribute data, with each row representing one minute of nest temperature from a nest(2) bouts.csv: contains nest and environmental data summarized at the bout level, with each row representing a single on- or off-bout(3) hourly_bouts.csv: contains bout and environmental data summarized at the hour level, with each row representing an hour of incubation from a nest(4) nest_sum.csv: contains nest and environmental data summarized at the nest level, with each row representing all measured incubation and environmental data from a single nest(5) nestlings.csv: contains nest outcome and nestling body condition data for each nest, with each row representing a single nest
DOI: 10.6084/m9.figshare.30621683.v1
title: Cleaned/final datasets

description: (1) data.csv: contains nest temperature and attribute data, with each row representing one minute of nest temperature from a nest(2) bouts.csv: contains nest and environmental data summarized at the bout level, with each row representing a single on- or off-bout(3) hourly_bouts.csv: contains bout and environmental data summarized at the hour level, with each row representing an hour of incubation from a nest(4) nest_sum.csv: contains nest and environmental data summarized at the nest level, with each row representing all measured incubation and environmental data from a single nest(5) nestlings.csv: contains nest outcome and nestling body condition data for each nest, with each row representing a single nest
DOI: 10.15468/dl.zud6cr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clarias macrocephalus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033704-251025141854904/datasets/export for details.
DOI: 10.15468/dl.y85xsq
title: Occurrence Download

description: A dataset containing 85595 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ethiopia, Eritrea)",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (396d5f30-dea9-11db-8ab4-b8a03c50a862, 90fd6680-349f-11d8-aa2d-b8a03c50a862)"
 ]
}

 The dataset includes 85595 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033695-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rw9rwv
title: Occurrence Download

description: A dataset containing 705 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "MediaType is Image",
 "TaxonKey is Salmo salar"
 ]
}

 The dataset includes 705 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033705-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjtjsm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clarias ngamensis",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033706-251025141854904/datasets/export for details.
DOI: 10.5281/zenodo.17611625
title: Costing workbook
DOI: 10.5281/zenodo.17611624
title: Costing workbook
DOI: 10.15468/dl.ejdzvu
title: Occurrence Download

description: A dataset listing the 10638 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset's 10638 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033696-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ncpza7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia Parr, 1937",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((44.9096 1.1987,44.9648 1.2321,44.9648 1.8496,35.9648 1.8496,35.9648 -7.1504,40.3029 -7.1504,40.4263 -6.8134,40.0733 -6.4249,39.9535 -5.9102,40.3587 -5.2718,40.3515 -4.7573,40.0702 -4.4392,40.3811 -3.7186,40.7402 -3.0348,41.8195 -2.1723,43.8399 0.2902,44.9096 1.1987))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010975-250525065834625/datasets/export for details.
DOI: 10.15468/dl.qacmvd
title: Occurrence Download

description: A dataset containing 234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Astragalus flexuosus (Hook.) Douglas ex G.Don",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 234 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010976-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ac5a73
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia Parr, 1937",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((36.2225 24.1647,35.9648 24.4806,35.9648 19.8496,37.7519 19.8496,37.7005 20.2556,37.7935 21.209,37.3891 21.7756,37.3588 22.2459,36.8499 22.7968,36.6611 23.2461,36.1736 23.4033,36.31 23.7463,36.2225 24.1647))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010977-250525065834625/datasets/export for details.
DOI: 10.15468/dl.vwnqvx
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paederia foetida L.",
 "Country is Brunei Darussalam"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010978-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nvbd38
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia Parr, 1937",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((37.8208 19.3058,37.7519 19.8496,35.9648 19.8496,35.9648 10.8496,44.9648 10.8496,44.9648 11.0757,44.5079 10.8984,44.021 11.3535,43.8449 12.4869,43.4392 13.1773,42.7805 13.6576,42.3014 14.2854,41.9925 14.3935,41.4722 15.0272,40.477 15.6908,40.2575 16.0951,39.9024 16.3482,38.9748 18.3342,37.8208 19.3058))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010981-250525065834625/datasets/export for details.
DOI: 10.15468/dl.ndcn59
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Astragalus inflexus Douglas ex Hook.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 41 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010980-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p9egep
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia Parr, 1937",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.2593 -20.2058,35.9648 -19.5556,35.9648 -16.1504,26.9648 -16.1504,26.9648 -25.1504,35.1352 -25.1504,35.2524 -25.1064,35.8302 -24.5319,35.9648 -24.1383,35.9648 -21.4413,35.6073 -21.0389,35.2593 -20.2058))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010982-250525065834625/datasets/export for details.
DOI: 10.15468/dl.9u7mbk
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Astragalus melilotoides Pall.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 105 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010983-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fuz2jf
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia Parr, 1937",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((33.4566 -25.7816,35.1352 -25.1504,26.9648 -25.1504,26.9648 -34.0826,27.209 -34.0314,28.1962 -33.4486,30.3395 -31.6744,31.7308 -29.6968,32.7846 -28.846,33.3559 -27.1274,33.4566 -25.7816))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010984-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nmag3n
title: Occurrence Download

description: A dataset containing 785 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Astragalus miser Douglas ex Hook.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 785 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010985-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13920001
title: Supplemental datasets for: 'LA4SR: using AI to illuminate the dark proteome'

description: Data S1 | Data S1 | Neural network training sequences (4GB). Dataset comprising DNA sequences processed in two formats: with terminal information (TI-inclusive) and terminal information-free (TI-free).

Data S2 | Training and inference scripts. The LA4SR framework integrated several open-source software packages and models. We employed LORA (Low-Rank Adaptation (https://github.com/microsoft/LoRA)), PEFT (Parameter-Efficient Fine-Tuning (https://github.com/huggingface/peft), and QLORA (Quantized Low-Rank Adaptation (https://github.com/artidoro/qlora) for parameter-efficient post-training and used Mamba (https://github.com/state-spaces/mamba) as an alternative to transformer-based architectures. The Hugging Face Transformers library (https://github.com/huggingface/transformers) facilitated implementation, pretraining, and post-training of the open-source models. Training and inference were carried out on the High Performance Computing resources at New York University Abu Dhabi (Jubail HPC cluster), with jobs going to NVIDIA (Santa Clara, CA, USA) V100, A100, or H100 nodes.

Data S3 | Interpretability scripts, including DeepMotifMinerPro. 10.5281/zenodo.13920001. Includes scripts for the implementation of the custom explainer programs presented with this work, including Captum-, DeepLift, and SHAP-based approaches (Data S3) to explain how different amino acid residues and their patterns and positions affect model decisions.

Data S4 | Real-world sequencing data. To validate our approach and address real-world challenges, we applied LA4SR models to new data from new clean and contaminated isogenic algae cultures. We cultured and sequenced ten separate isogenic colonies of Chlamydomonas reinhardtii CC-1883. Of these, nine were sequenced with Illumina 150 bp paired-end short reads and one with Pacific Biosciences (PacBio, Menlo Park, CA, USA) HiFi reads and DoveTail (Sydney, Australia) Hi-C to generate a complete, axenic reference assembly (Fig. S3; Data S4).
DOI: 10.5281/zenodo.14863920
title: Supplemental datasets for: 'Pan-microalgal dark proteome classification via interpretable deep learning with synthetic chimeras'

description: This repository contains supplementary datasets for 'Pan-microalgal dark proteome classification via interpretable deep learning with synthetic chimeras'. The preprint is available at https://doi.org/10.48550/arXiv.2411.06798.

Data S1 | Data S1 | Neural network training sequences (4GB). Dataset comprising DNA sequences processed in two formats: with terminal information (TI-inclusive) and terminal information-free (TI-free).

Data S2 | Training and inference scripts. The LA4SR framework integrated several open-source software packages and models. We employed LORA (Low-Rank Adaptation (https://github.com/microsoft/LoRA)), PEFT (Parameter-Efficient Fine-Tuning (https://github.com/huggingface/peft), and QLORA (Quantized Low-Rank Adaptation (https://github.com/artidoro/qlora) for parameter-efficient post-training and used Mamba (https://github.com/state-spaces/mamba) as an alternative to transformer-based architectures. The Hugging Face Transformers library (https://github.com/huggingface/transformers) facilitated implementation, pretraining, and post-training of the open-source models. Training and inference were carried out on the High Performance Computing resources at New York University Abu Dhabi (Jubail HPC cluster), with jobs going to NVIDIA (Santa Clara, CA, USA) V100, A100, or H100 nodes.

Data S3 | Interpretability scripts, including DeepMotifMinerPro. 10.5281/zenodo.13920001. Includes scripts for the implementation of the custom explainer programs presented with this work, including Captum-, DeepLift, and SHAP-based approaches (Data S3) to explain how different amino acid residues and their patterns and positions affect model decisions.

Data S4 | Real-world sequencing data. To validate our approach and address real-world challenges, we applied LA4SR models to new data from new clean and contaminated isogenic algae cultures. We cultured and sequenced ten separate isogenic colonies of Chlamydomonas reinhardtii CC-1883. Of these, nine were sequenced with Illumina 150 bp paired-end short reads and one with Pacific Biosciences (PacBio, Menlo Park, CA, USA) HiFi reads and DoveTail (Sydney, Australia) Hi-C to generate a complete, axenic reference assembly (Fig. S3; Data S4).
DOI: 10.5281/zenodo.15421126
title: Supplemental datasets for: 'Pan-microalgal dark proteome classification via interpretable deep learning with synthetic chimeras'

description: This repository contains supplementary datasets for 'Pan-microalgal dark proteome classification via interpretable deep learning with synthetic chimeras'. The preprint is available at https://doi.org/10.48550/arXiv.2411.06798.

 

Data S1 | Data S1 | Neural network training sequences (4GB). Dataset comprising DNA sequences processed in two formats: with terminal information (TI-inclusive) and terminal information-free (TI-free).

Data S2 | Training and inference scripts. The LA4SR framework integrated several open-source software packages and models. We employed LORA (Low-Rank Adaptation (https://github.com/microsoft/LoRA)), PEFT (Parameter-Efficient Fine-Tuning (https://github.com/huggingface/peft), and QLORA (Quantized Low-Rank Adaptation (https://github.com/artidoro/qlora) for parameter-efficient post-training and used Mamba (https://github.com/state-spaces/mamba) as an alternative to transformer-based architectures. The Hugging Face Transformers library (https://github.com/huggingface/transformers) facilitated implementation, pretraining, and post-training of the open-source models. Training and inference were carried out on the High Performance Computing resources at New York University Abu Dhabi (Jubail HPC cluster), with jobs going to NVIDIA (Santa Clara, CA, USA) V100, A100, or H100 nodes.

Data S3 | Interpretability scripts, including DeepMotifMinerPro. 10.5281/zenodo.13920001. Includes scripts for the implementation of the custom explainer programs presented with this work, including Captum-, DeepLift, and SHAP-based approaches (Data S3) to explain how different amino acid residues and their patterns and positions affect model decisions.

Data S4 | Real-world sequencing data. To validate our approach and address real-world challenges, we applied LA4SR models to new data from new clean and contaminated isogenic algae cultures. We cultured and sequenced ten separate isogenic colonies of Chlamydomonas reinhardtii CC-1883. Of these, nine were sequenced with Illumina 150 bp paired-end short reads and one with Pacific Biosciences (PacBio, Menlo Park, CA, USA) HiFi reads and DoveTail (Sydney, Australia) Hi-C to generate a complete, axenic reference assembly (Fig. S3; Data S4).

 

Data S5 | Singularity container to run LA4SR. Includes an environment supporting LA4SR.
DOI: 10.5281/zenodo.15543241
title: Supplemental datasets for: 'Pan-microalgal dark proteome classification via interpretable deep learning with synthetic chimeras'

description: This repository contains supplementary datasets for 'Pan-microalgal dark proteome classification via interpretable deep learning with synthetic chimeras'. The preprint is available at https://doi.org/10.48550/arXiv.2411.06798.

 

Data S1 | Data S1 | Neural network training sequences (4GB). Dataset comprising DNA sequences processed in two formats: with terminal information (TI-inclusive) and terminal information-free (TI-free).

Data S2 | Training and inference scripts. The LA4SR framework integrated several open-source software packages and models. We employed LORA (Low-Rank Adaptation (https://github.com/microsoft/LoRA)), PEFT (Parameter-Efficient Fine-Tuning (https://github.com/huggingface/peft), and QLORA (Quantized Low-Rank Adaptation (https://github.com/artidoro/qlora) for parameter-efficient post-training and used Mamba (https://github.com/state-spaces/mamba) as an alternative to transformer-based architectures. The Hugging Face Transformers library (https://github.com/huggingface/transformers) facilitated implementation, pretraining, and post-training of the open-source models. Training and inference were carried out on the High Performance Computing resources at New York University Abu Dhabi (Jubail HPC cluster), with jobs going to NVIDIA (Santa Clara, CA, USA) V100, A100, or H100 nodes.

Data S3 | Interpretability scripts, including DeepMotifMinerPro. Includes scripts for the implementation of the custom explainer programs presented with this work, including Captum-, DeepLift, and SHAP-based approaches (Data S3) to explain how different amino acid residues and their patterns and positions affect model decisions.

Data S4 | Real-world sequencing data. To validate our approach and address real-world challenges, we applied LA4SR models to new data from new clean and contaminated isogenic algae cultures. We cultured and sequenced ten separate isogenic colonies of Chlamydomonas reinhardtii CC-1883. Of these, nine were sequenced with Illumina 150 bp paired-end short reads and one with Pacific Biosciences (PacBio, Menlo Park, CA, USA) HiFi reads and DoveTail (Sydney, Australia) Hi-C to generate a complete, axenic reference assembly.

 

Data S5 | Singularity container to run LA4SR. Includes an environment supporting LA4SR.
DOI: 10.15468/dl.hqvpdb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia Parr, 1937",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.9648 1.8496,26.9648 1.8496,26.9648 -7.1504,35.9648 -7.1504,35.9648 1.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010986-250525065834625/datasets/export for details.