cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/z78-mzv-fv4
title: Cibicides Montfort, 1808

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/etd-2vx-wj3
title: †Calcarinella schaubi (Hottinger, 1966)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5yk-2ky-qvc
title: Ostracoda Latreille, 1802

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tcx-8sm-l42
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p73-53f-b6z
title: †Lepidorbitoides Silvestri, 1907

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q4f-hbk-d5g
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qrf-vj6-er4
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5zj-n9f-6mq
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q5b-gx5-txl
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rsr-jf9-0yd
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/59t-h1z-mcy
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hb0-zfj-jxg
title: Nonion Montfort, 1808

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cgt-h3j-2kr
title: †Orbitoides d'Orbigny, in Lyell, 1848

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wda-gy0-k0k
title: Pyrgo clypeata (d'Orbigny, 1846)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4sd-1dv-wxc
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1tv-j97-ft1
title: Parrellina verriculata (Brady, 1881)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hw0-eeb-0xp
title: Pullenia quinqueloba (Reuss, 1851)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.2fdsgf
title: Occurrence Download

description: A dataset containing 948 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Agrostis capillaris L."
 ]
}

 The dataset includes 948 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019215-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qkesnp
title: Occurrence Download

description: A dataset containing 2071 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litchi chinensis Sonn."
 ]
}

 The dataset includes 2071 records from 204 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019217-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15354996
title: The NIST PFAS Database (version 1.1) with MGF-format.

description: The NIST PFAS Database (version 1.1) is a public database and can be downloaded on https://data.nist.gov/od/id/mds2-2905 with SQLite format. The MGF-format file was extracted and converted by Heng Wang.
DOI: 10.5281/zenodo.15354997
title: The NIST PFAS Database (version 1.1) with MGF-format.

description: The NIST PFAS Database (version 1.1) is a public database and can be downloaded on https://data.nist.gov/od/id/mds2-2905 with SQLite format. The MGF-format file was extracted and converted by Heng Wang.
DOI: 10.15468/dl.7rn3xs
title: Occurrence Download

description: A dataset containing 17479 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alosa sapidissima (Wilson, 1811)"
 ]
}

 The dataset includes 17479 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019216-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jwh8ny
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lates calcarifer birnavirus"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019219-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxcdyg
title: Occurrence Download

description: A dataset containing 111881712 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 111881712 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019194-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ut8nt2
title: Occurrence Download

description: A dataset containing 5811 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is one of (United States of America, Mexico)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bromus hordeaceus L."
 ]
}

 The dataset includes 5811 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019220-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7pj7fg
title: Occurrence Download

description: A dataset containing 5144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is one of (United States of America, Mexico)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bromus diandrus Roth"
 ]
}

 The dataset includes 5144 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019221-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57841/casdc.0005392
title: TGW3 磷酸化调控OsTIR1-OsIAA10-OsARF4 RNA-seq和分子实验数据
DOI: 10.6084/m9.figshare.28941788
title: Stakeholder relationships management

description: The research studied stakeholder relationships management as a firm capability for achieving sustainable performance
DOI: 10.15468/dl.cupx5v
title: Occurrence Download

description: A dataset containing 14516 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Esox americanus Gmelin, 1789"
 ]
}

 The dataset includes 14516 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019222-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3nm4wg
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "DatasetKey is Earth Guardians Weekly Feed",
 "Month is December",
 "OccurrenceStatus is Present",
 "Year 2024-2025"
 ]
}

 The dataset includes 46 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019224-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wury6u
title: Occurrence Download

description: A dataset containing 646 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is one of (United States of America, Mexico)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Brachypodium distachyon (L.) P.Beauv."
 ]
}

 The dataset includes 646 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019225-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57780/cr2-0e3b7dd
title: HIGHWAY_Cryo_TEMPO_POCA_SIR_TDP_SI

description: CryoSat-2 Cryo-TEMPO Sea Ice in cloud-native data format
DOI: 10.5281/zenodo.13924483
title: BioTISR: a time-lapse biological image dataset for super-resolution microscopy

description: BioTISR is a biological image dataset for super-resolution microscopy, currently including 2D and 3D time-lapse image pairs of low-and-high resolution images of a variety of biology structures, aiming to provide a high-quality dataset of time-lapse biological SR images for the community to spark more developments of computational SR methods.

At present, 2D dataset includes five specimens (clathrin-coated pits, lysosomes, outer mitochondrial membrane, microtubules, and F-actin) acquired with the GI/TIRF-SIM mode and nonlinear SIM mode of our Multi-SIM system, and 3D dataset includes three specimens (outer mitochondrial membrane, microtubules, and F-actin) acquired with 3D-SIM mode of the Multi-SIM system. For each type of specimen and each imaging modality, we acquired the raw data from at least 50 distinct regions-of-interest (ROI). For each ROI, we acquired two (3D data) or three (2D data) groups of N-phase × M-orientation × T-timepoint raw images with a constant exposure time but increasing the excitation light intensity, where (N, M, T) are (3, 3, 20) for TIRF-SIM and GI-SIM, (5, 5, 10) for nonlinear SIM, and (3, 5, 10) for 3D-SIM. Specific imaging conditions and scripts for reading MRC file are provided in Supplement Files.

The BioTISR dataset is related to the following paper:Qiao, C., Liu, S., Wang, Y. et al. A neural network for long-term super-resolution imaging of live cells with reliable confidence quantification. Nat Biotechnol (2025). https://doi.org/10.1038/s41587-025-02553-8, which is an extension of our previously published BioSR dataset (https://www.nature.com/articles/s41592-020-01048-5).

Limited by quota, the original images uploaded in the current 3D dataset are wide-field images obtained after averaging 15 images, where (N, M, T) are (1, 1, 10). We will update them to raw SIM images after the quota is expanded.

2D dataset's url:

https://doi.org/10.5281/zenodo.13843670

3D dataset's urls:

F-actin:

WF input: https://doi.org/10.5281/zenodo.13843673

Raw SIM input:https://doi.org/10.5281/zenodo.13994464

Microtubules:

WF input: https://doi.org/10.5281/zenodo.13932988

Raw SIM input: https://doi.org/10.5281/zenodo.13989327

Mitochondria:

WF input: https://doi.org/10.5281/zenodo.13843183

Raw SIM input: https://doi.org/10.5281/zenodo.14000502

 

Update 2025.5.6

Add optical transfer function(OTF) of the microscopy system and the pixel size of each data to the supplementary files.
DOI: 10.5281/zenodo.13924484
title: BioTISR: a time-lapse biological image dataset for super-resolution microscopy

description: BioTISR is a biological image dataset for super-resolution microscopy, currently including 2D and 3D time-lapse image pairs of low-and-high resolution images of a variety of biology structures, aiming to provide a high-quality dataset of time-lapse biological SR images for the community to spark more developments of computational SR methods.

At present, 2D dataset includes five specimens (clathrin-coated pits, lysosomes, outer mitochondrial membrane, microtubules, and F-actin) acquired with the GI/TIRF-SIM mode and nonlinear SIM mode of our Multi-SIM system, and 3D dataset includes three specimens (outer mitochondrial membrane, microtubules, and F-actin) acquired with 3D-SIM mode of the Multi-SIM system. For each type of specimen and each imaging modality, we acquired the raw data from at least 50 distinct regions-of-interest (ROI). For each ROI, we acquired two (3D data) or three (2D data) groups of N-phase × M-orientation × T-timepoint raw images with a constant exposure time but increasing the excitation light intensity, where (N, M, T) are (3, 3, 20) for TIRF-SIM and GI-SIM, (5, 5, 10) for nonlinear SIM, and (3, 5, 10) for 3D-SIM. Specific imaging conditions and scripts for reading MRC file are provided in Supplement Files.

The BioTISR dataset is related to the following paper:Chang Qiao, Shuran Liu, Yuwang Wang, Wencong Xu, et al. "Time-lapse Image Super-resolution Neural Network with Reliable Confidence Evaluation for Optical Microscopy." bioRxiv 2024.05.04.592503 (2024), which is an extension of our previously published BioSR dataset (https://www.nature.com/articles/s41592-020-01048-5).

Limited by quota, the original images uploaded in the current 3D dataset are wide-field images obtained after averaging 15 images, where (N, M, T) are (1, 1, 10). We will update them to raw SIM images after the quota is expanded.

2D dataset's url:

https://doi.org/10.5281/zenodo.13843670

3D dataset's urls:

F-actin: https://doi.org/10.5281/zenodo.13843673

Microtubules:  https://doi.org/10.5281/zenodo.13932988

Mitochondria: https://doi.org/10.5281/zenodo.13843183
DOI: 10.5281/zenodo.13984825
title: BioTISR: a time-lapse biological image dataset for super-resolution microscopy

description: BioTISR is a biological image dataset for super-resolution microscopy, currently including 2D and 3D time-lapse image pairs of low-and-high resolution images of a variety of biology structures, aiming to provide a high-quality dataset of time-lapse biological SR images for the community to spark more developments of computational SR methods.

At present, 2D dataset includes five specimens (clathrin-coated pits, lysosomes, outer mitochondrial membrane, microtubules, and F-actin) acquired with the GI/TIRF-SIM mode and nonlinear SIM mode of our Multi-SIM system, and 3D dataset includes three specimens (outer mitochondrial membrane, microtubules, and F-actin) acquired with 3D-SIM mode of the Multi-SIM system. For each type of specimen and each imaging modality, we acquired the raw data from at least 50 distinct regions-of-interest (ROI). For each ROI, we acquired two (3D data) or three (2D data) groups of N-phase × M-orientation × T-timepoint raw images with a constant exposure time but increasing the excitation light intensity, where (N, M, T) are (3, 3, 20) for TIRF-SIM and GI-SIM, (5, 5, 10) for nonlinear SIM, and (3, 5, 10) for 3D-SIM. Specific imaging conditions and scripts for reading MRC file are provided in Supplement Files.

The BioTISR dataset is related to the following paper:Chang Qiao, Shuran Liu, Yuwang Wang, Wencong Xu, et al. "Time-lapse Image Super-resolution Neural Network with Reliable Confidence Evaluation for Optical Microscopy." bioRxiv 2024.05.04.592503 (2024), which is an extension of our previously published BioSR dataset (https://www.nature.com/articles/s41592-020-01048-5).

Limited by quota, the original images uploaded in the current 3D dataset are wide-field images obtained after averaging 15 images, where (N, M, T) are (1, 1, 10). We will update them to raw SIM images after the quota is expanded.

2D dataset's url:

https://doi.org/10.5281/zenodo.13843670

3D dataset's urls:

F-actin:

WF input: https://doi.org/10.5281/zenodo.13843673

Raw SIM input:https://doi.org/10.5281/zenodo.13994464

Microtubules:

WF input: https://doi.org/10.5281/zenodo.13932988

Raw SIM input: https://doi.org/10.5281/zenodo.13989327

Mitochondria:

WF input: https://doi.org/10.5281/zenodo.13843183

Raw SIM input: https://doi.org/10.5281/zenodo.14000502
DOI: 10.5281/zenodo.14760518
title: BioTISR: a time-lapse biological image dataset for super-resolution microscopy

description: BioTISR is a biological image dataset for super-resolution microscopy, currently including 2D and 3D time-lapse image pairs of low-and-high resolution images of a variety of biology structures, aiming to provide a high-quality dataset of time-lapse biological SR images for the community to spark more developments of computational SR methods.

At present, 2D dataset includes five specimens (clathrin-coated pits, lysosomes, outer mitochondrial membrane, microtubules, and F-actin) acquired with the GI/TIRF-SIM mode and nonlinear SIM mode of our Multi-SIM system, and 3D dataset includes three specimens (outer mitochondrial membrane, microtubules, and F-actin) acquired with 3D-SIM mode of the Multi-SIM system. For each type of specimen and each imaging modality, we acquired the raw data from at least 50 distinct regions-of-interest (ROI). For each ROI, we acquired two (3D data) or three (2D data) groups of N-phase × M-orientation × T-timepoint raw images with a constant exposure time but increasing the excitation light intensity, where (N, M, T) are (3, 3, 20) for TIRF-SIM and GI-SIM, (5, 5, 10) for nonlinear SIM, and (3, 5, 10) for 3D-SIM. Specific imaging conditions and scripts for reading MRC file are provided in Supplement Files.

The BioTISR dataset is related to the following paper:Chang Qiao, Shuran Liu, Yuwang Wang, Wencong Xu, et al. "Time-lapse Image Super-resolution Neural Network with Reliable Confidence Evaluation for Optical Microscopy." bioRxiv 2024.05.04.592503 (2024), which is an extension of our previously published BioSR dataset (https://www.nature.com/articles/s41592-020-01048-5).

Limited by quota, the original images uploaded in the current 3D dataset are wide-field images obtained after averaging 15 images, where (N, M, T) are (1, 1, 10). We will update them to raw SIM images after the quota is expanded.

2D dataset's url:

https://doi.org/10.5281/zenodo.13843670

3D dataset's urls:

F-actin:

WF input: https://doi.org/10.5281/zenodo.13843673

Raw SIM input:https://doi.org/10.5281/zenodo.13994464

Microtubules:

WF input: https://doi.org/10.5281/zenodo.13932988

Raw SIM input: https://doi.org/10.5281/zenodo.13989327

Mitochondria:

WF input: https://doi.org/10.5281/zenodo.13843183

Raw SIM input: https://doi.org/10.5281/zenodo.14000502
DOI: 10.5281/zenodo.15354981
title: BioTISR: a time-lapse biological image dataset for super-resolution microscopy

description: BioTISR is a biological image dataset for super-resolution microscopy, currently including 2D and 3D time-lapse image pairs of low-and-high resolution images of a variety of biology structures, aiming to provide a high-quality dataset of time-lapse biological SR images for the community to spark more developments of computational SR methods.

At present, 2D dataset includes five specimens (clathrin-coated pits, lysosomes, outer mitochondrial membrane, microtubules, and F-actin) acquired with the GI/TIRF-SIM mode and nonlinear SIM mode of our Multi-SIM system, and 3D dataset includes three specimens (outer mitochondrial membrane, microtubules, and F-actin) acquired with 3D-SIM mode of the Multi-SIM system. For each type of specimen and each imaging modality, we acquired the raw data from at least 50 distinct regions-of-interest (ROI). For each ROI, we acquired two (3D data) or three (2D data) groups of N-phase × M-orientation × T-timepoint raw images with a constant exposure time but increasing the excitation light intensity, where (N, M, T) are (3, 3, 20) for TIRF-SIM and GI-SIM, (5, 5, 10) for nonlinear SIM, and (3, 5, 10) for 3D-SIM. Specific imaging conditions and scripts for reading MRC file are provided in Supplement Files.

The BioTISR dataset is related to the following paper:Qiao, C., Liu, S., Wang, Y. et al. A neural network for long-term super-resolution imaging of live cells with reliable confidence quantification. Nat Biotechnol (2025). https://doi.org/10.1038/s41587-025-02553-8, which is an extension of our previously published BioSR dataset (https://www.nature.com/articles/s41592-020-01048-5).

Limited by quota, the original images uploaded in the current 3D dataset are wide-field images obtained after averaging 15 images, where (N, M, T) are (1, 1, 10). We will update them to raw SIM images after the quota is expanded.

2D dataset's url:

https://doi.org/10.5281/zenodo.13843670

3D dataset's urls:

F-actin:

WF input: https://doi.org/10.5281/zenodo.13843673

Raw SIM input:https://doi.org/10.5281/zenodo.13994464

Microtubules:

WF input: https://doi.org/10.5281/zenodo.13932988

Raw SIM input: https://doi.org/10.5281/zenodo.13989327

Mitochondria:

WF input: https://doi.org/10.5281/zenodo.13843183

Raw SIM input: https://doi.org/10.5281/zenodo.14000502

 

Update 2025.5.6

Add optical transfer function(OTF) of the microscopy system and the pixel size of each data to the supplementary files.
DOI: 10.15468/dl.8rdha9
title: Occurrence Download

description: A dataset containing 1793 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Mexico, United States of America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Acmispon parviflorus (Benth.) D.D.Sokoloff"
 ]
}

 The dataset includes 1793 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019226-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11713646
title: Heart and Lung Sounds Dataset (HLS-CMDS)
DOI: 10.5281/zenodo.15355017
title: GBIF data of plantea occurences in the Arctic

description: GBIF data of plantea occurences in the Arctic. Occurrence data was filtered and cleaned following standard protocols (GBIF Secretariat 2021). Missing values in longitude, latitude and species as well as error values were discarded and fossil records/museum specimens were excluded. We selected for the time after 1970 and a distance uncertainty < 5000 m.
DOI: 10.5281/zenodo.15355018
title: GBIF data of plantea occurences in the Arctic

description: GBIF data of plantea occurences in the Arctic. Occurrence data was filtered and cleaned following standard protocols (GBIF Secretariat 2021). Missing values in longitude, latitude and species as well as error values were discarded and fossil records/museum specimens were excluded. We selected for the time after 1970 and a distance uncertainty < 5000 m.
DOI: 10.15468/dl.8uqtwz
title: Occurrence Download

description: A dataset containing 796 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is one of (United States of America, Mexico)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Festuca perennis (L.) Columbus & J.P.Sm."
 ]
}

 The dataset includes 796 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019228-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.