cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31116355.v2
title: Image correlation results for the 2021 Maduo earthquake (Antoine et al., 2026)

description: The files contain the surface displacement measurements and finite-fault slip model for the 2025 Mw7.7 Mandalay, Myanmar earthquake, related to the publication : <b>Antoine et al.,</b><b> </b><b>2026.</b><b> </b><b><i>Kilometer-wide crustal yielding associated with the 2021 Mw7.4 Maduo, Tibet, surface rupture</i></b><b><i>.</i></b><b> E</b><b>arth and Planetary Science Letters.</b>The file first includes the correlation results of the pre-event Pléiades and post-event SPOT6/7 satellite optical images. The maps document the East-West and North-South surface displacements associated with the earthquake, and the correlation score map. Geographic information within the files is in the UTM WGS 84 Zone 47 N reference. Processing was performed at 0.5 m ground resolution (see the publication for detail on the data and processing method), but files are made available at a downsampled resolution of 5 m.It also includes the measured total and localized offsets (the off-fault deformation can be measured from the difference of the two values). The two files are organized as follow: profile number, offset (m), sigma offset (m), latitude, longitude, position of the profile along the fault trace (m), azimuth of the profile, width of the offset (m).
DOI: 10.6084/m9.figshare.31116355.v1
title: Image correlation results for the 2021 Maduo earthquake (Antoine et al., 2026)

description: The files contain the surface displacement measurements and finite-fault slip model for the 2025 Mw7.7 Mandalay, Myanmar earthquake, related to the publication : <b>Antoine et al.,</b><b> </b><b>2026.</b><b> </b><b><i>Kilometer-wide crustal yielding associated with the 2021 Mw7.4 Maduo, Tibet, surface rupture</i></b><b><i>.</i></b><b> E</b><b>arth and Planetary Science Letters.</b>The file includes the correlation results of the pre-event Pléiades and post-event SPOT6/7 satellite optical images. The maps document the East-West and North-South surface displacements associated with the earthquake, and the correlation score map. Geographic information within the files is in the UTM WGS 84 Zone 47 N reference. Processing was performed at 0.5 m ground resolution (see the publication for detail on the data and processing method), but files are made available at a downsampled resolution of 5 m. You can reach out to corresponding author Solène L. Antoine to get the maps at full resolution.
DOI: 10.15468/dl.hcbmmv
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.462 12.753971, 102.389973 12.748397, 102.319728 12.731813, 102.253004 12.704629, 102.191451 12.667519, 102.136586 12.621398, 102.089764 12.567409, 102.052135 12.506884, 102.024621 12.441317, 102.007894 12.372327, 102.002357 12.301614, 102.008137 12.230919, 102.025083 12.161982, 102.052771 12.0965, 102.090511 12.03608, 102.137372 11.982208, 102.192198 11.936205, 102.25364 11.8992, 102.32019 11.8721, 102.390216 11.855569, 102.462 11.850014, 102.533784 11.855569, 102.60381 11.8721, 102.67036 11.8992, 102.731802 11.936205, 102.786628 11.982208, 102.833489 12.03608, 102.871229 12.0965, 102.898917 12.161982, 102.915863 12.230919, 102.921643 12.301614, 102.916106 12.372327, 102.899379 12.441317, 102.871865 12.506884, 102.834236 12.567409, 102.787414 12.621398, 102.732549 12.667519, 102.670996 12.704629, 102.604272 12.731813, 102.534027 12.748397, 102.462 12.753971))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 72 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005570-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.78sq7z
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is Africa",
 "Country is Nigeria",
 "OccurrenceStatus is Present",
 "TaxonKey is Ethmalosa fimbriata"
 ]
}

 The dataset includes 71 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005571-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tzzbj7
title: Occurrence Download

description: A dataset containing 4963 records in GBIF matching the query:
SELECT
 '108' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -16.25916876999866
 AND decimalLatitude &lt;= -12.166598047573723
 AND decimalLongitude &gt;= 141.66135306682685
 AND decimalLongitude &lt;= 148.37090149611277
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 4963 records were derived from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005543-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjuwpg
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((89.047945 24.521243, 88.970764 24.515666, 88.895504 24.499074, 88.82403499999999 24.471879, 88.758132 24.434758, 88.69942500000001 24.388632, 88.64936400000001 24.334646, 88.609177 24.274139, 88.57984500000001 24.208609, 88.562076 24.139674, 88.55628900000001 24.069037, 88.562608 23.998438, 88.58085699999999 23.929614, 88.610569 23.864255, 88.651 23.803965, 88.70114599999999 23.750219, 88.75976799999999 23.704333, 88.825428 23.667428, 88.89651600000001 23.640405, 88.971296 23.623923, 89.047945 23.618384, 89.124594 23.623923, 89.19937400000001 23.640405, 89.27046199999999 23.667428, 89.336122 23.704333, 89.394744 23.750219, 89.44489 23.803965, 89.485321 23.864255, 89.515033 23.929614, 89.533282 23.998438, 89.539601 24.069037, 89.53381400000001 24.139674, 89.51604500000001 24.208609, 89.48671299999999 24.274139, 89.44652600000001 24.334646, 89.39646500000001 24.388632, 89.33775799999999 24.434758, 89.271855 24.471879, 89.20038599999999 24.499074, 89.12512599999999 24.515666, 89.047945 24.521243))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005572-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17729138
title: Neural Surrogate HMC: On Using Neural Likelihoods for Hamiltonian Monte Carlo in Simulation-Based Inference

description: Data and results used in the paper "Neural Surrogate HMC: On Using Neural Likelihoods for Hamiltonian Monte Carlo in Simulation-Based Inference" by Wolniewicz et al. The code used to work with this data can be found on GitHub: https://github.com/hawaii-ai/GalacticCosmicRays.



ams_pamela_observations.zip: .dat files with the observations from PAMELA and AMS-02 used for generating posterior samples.

nn_models.tar.xz: all the NN .keras files used to produce results (these are used to create Figure 3 in the paper).

posterior_predictive_test.zip: .dat files with flux values used to perform the posterior predictive test in the paper.

train_test_data.zip: .h5 files that contain the train and test data used to train and test the NN models (and perform the posterior predictive test).

logprobs_d1_b0_init1_hmc1_h5.zip: log probability .h5 files from sampling for the two intervals shown in the paper in Figures 11 and 14 (AMS-02 interval #48, and PAMELA interval #107).

predictions_d1_b0_init1_hmc1_h5.zip: prediction .h5 files from sampling for the two intervals shown in the paper in Figures 11 and 14 (AMS-02 interval #48, and PAMELA interval #107).

posterior_predictive_samples_h5.zip: all posterior samples for various NN models and bootstrapped training datasets across a subset of 100 held-out simulation runs (these are used to create Figures 8 and 9 in the paper), stored in .h5 format.

all_sample_files_h5.zip: all PAMELA and AMS-02 posterior samples for various NN models, HMC initializations, and bootstrapped training datasets stored in .h5 format. Sample files with folder name "d1_b0_*" are used to create Figures 10, 11, and 14 in the paper. Sample files with folder name "*_b0_*" are used to create Figures 4, 5, 6, 7, 12, and 13 in the paper.


Naming convention of sample and model files:



There are two kinds of dataset sampling: b1 for bootstrap-sampled training data, and b0 for non-bootstrapped. b0 is only used for training on the entire training set.

There are 5 random HMC re-initializations: hmc1, hmc2, hmc3, hmc4, and hmc5

There are 5 bootstrap sampled datasets: d1, d2, d3, d4, and d5

There are 5 NN model re-initializations: init1, init2, init3, init4, and init5

Training data is of size: 0.0001, 0.001, 0.01, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0


This dataset contains all the train and test data, NN model files, posterior predictive test observation and posterior samples, AMS-02 and PAMELA observation and posterior samples (non-bootstrap sampled datasets), the logprobs and predictions needed to recreate Figures 10, 11, and 14, and all the AMS-02 and PAMELA posterior samples for changing HMC initial states, NLE initializations, and bootstrap-sampled training datasets, which are needed to recreate Figures 4, 5, 6, 7, 12, and 13 from the paper.
DOI: 10.5281/zenodo.18249366
title: Neural Surrogate HMC: On Using Neural Likelihoods for Hamiltonian Monte Carlo in Simulation-Based Inference

description: Data and results used in the paper "Neural Surrogate HMC: On Using Neural Likelihoods for Hamiltonian Monte Carlo in Simulation-Based Inference" by Wolniewicz et al. The code used to work with this data can be found on GitHub: https://github.com/hawaii-ai/GalacticCosmicRays.



ams_pamela_observations.zip: .dat files with the observations from PAMELA and AMS-02 used for generating posterior samples.

nn_models.tar.xz: all the NN .keras files used to produce results (these are used to create Figure 3 in the paper).

posterior_predictive_test.zip: .dat files with flux values used to perform the posterior predictive test in the paper.

train_test_data.zip: .h5 files that contain the train and test data used to train and test the NN models (and perform the posterior predictive test).

logprobs_d1_b0_init1_hmc1_h5.zip: log probability .h5 files from sampling for the two intervals shown in the paper in Figures 11 and 14 (AMS-02 interval #48, and PAMELA interval #107).

predictions_d1_b0_init1_hmc1_h5.zip: prediction .h5 files from sampling for the two intervals shown in the paper in Figures 11 and 14 (AMS-02 interval #48, and PAMELA interval #107).

posterior_predictive_samples_h5.zip: all posterior samples for various NN models and bootstrapped training datasets across a subset of 100 held-out simulation runs (these are used to create Figures 8 and 9 in the paper), stored in .h5 format.

all_sample_files_h5.zip: all PAMELA and AMS-02 posterior samples for various NN models, HMC initializations, and bootstrapped training datasets stored in .h5 format. Sample files with folder name "d1_b0_*" are used to create Figures 10, 11, and 14 in the paper. Sample files with folder name "*_b0_*" are used to create Figures 4, 5, 6, 7, 12, and 13 in the paper.


Naming convention of sample and model files:



There are two kinds of dataset sampling: b1 for bootstrap-sampled training data, and b0 for non-bootstrapped. b0 is only used for training on the entire training set.

There are 5 random HMC re-initializations: hmc1, hmc2, hmc3, hmc4, and hmc5

There are 5 bootstrap sampled datasets: d1, d2, d3, d4, and d5

There are 5 NN model re-initializations: init1, init2, init3, init4, and init5

Training data is of size: 0.0001, 0.001, 0.01, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0


This dataset contains all the train and test data, NN model files, posterior predictive test observation and posterior samples, AMS-02 and PAMELA observation and posterior samples (non-bootstrap sampled datasets), the logprobs and predictions needed to recreate Figures 10, 11, and 14, and all the AMS-02 and PAMELA posterior samples for changing HMC initial states, NLE initializations, and bootstrap-sampled training datasets, which are needed to recreate Figures 4, 5, 6, 7, 12, and 13 from the paper.
DOI: 10.6084/m9.figshare.29987791
title: Database - A nomenclature for the extant hermatypic scleractinian corals including type locations and taxonomic status for 2,338 nominal species.

description: This Database is supplement to: <br>Crosbie AJ, Bridge TCL, Mera M, Rassmussen SH, Cabaitan PC, Cowman PF, Gress E, Grinblat M, Horowitz J, Camilleri RE, Baird AH (2026) A nomenclature for the extant hermatypic scleractinian corals including type locations and taxonomic status for 2,338 nominal species. Memoirs of the Queensland Museum 10.17082/hwmu8830<br><br><b>Abstract:</b> Molecular phylogenetic analyses have revealed that many scleractinian coral species described using traditional taxonomic approaches are composed of multiple distinct genetic lineages. Resolving the taxonomy of these lineages requires an integrated approach that combines molecular phylogenies with additional lines of evidence (e.g., morphological, geographical and ecological data), alongside examination of type material. This approach is essential to determine which of these lineages represent distinct species, and in turn whether these distinct species represent nominal species that are valid, are currently considered synonyms, or are undescribed. Given that most scleractinian coral type specimens are bleached skeletons lacking tissue for molecular analysis, the key to testing the validity of nominal species is the collection of topotypes: specimens collected from the type location of the nominal species that closely match the morphology of the type material. These topotypes provide a molecular archetype of the nominal species to allow for robust molecular tests of specimen identity and species evolutionary relationships. Here, we collate information from 383 authorities spanning the period from 1758 to 2025, into a nomenclature containing the taxonomic status and type location for all nominal species of extant hermatypic Scleractinia. The nomenclature database includes information on 2,338 nominal species, including: Nominal species name, species authority, year described, current status (Valid, Invalid, Unaccepted), accepted species name, source of synonymy, and more. Importantly, of these 2,338 nominal species, the type location was traced for 2,132 species to varying levels of precision, with only 206 species type locations remaining untraceable at this time. The nomenclature also includes information on all 383 authorities and the 362 original texts they are contained within. This resource will facilitate the necessary taxonomic revisions to produce a workable taxonomy and provide valuable information for the wider coral reef scientific community and managers trying to confidently apply names to the distinct lineages increasingly revealed by molecular data.<b>Corrections: </b>We welcome any corrections or additions. Please contact us via email below.<b>Contact:</b> augustinecrosbie@gmail.com
DOI: 10.6084/m9.figshare.29987791.v3
title: Database - A nomenclature for the extant hermatypic scleractinian corals including type locations and taxonomic status for 2,338 nominal species.

description: This Database is supplement to: <br>Crosbie AJ, Bridge TCL, Mera M, Rassmussen SH, Cabaitan PC, Cowman PF, Gress E, Grinblat M, Horowitz J, Camilleri RE, Baird AH (2026) A nomenclature for the extant hermatypic scleractinian corals including type locations and taxonomic status for 2,338 nominal species. Memoirs of the Queensland Museum 10.17082/hwmu8830<br><br><b>Abstract:</b> Molecular phylogenetic analyses have revealed that many scleractinian coral species described using traditional taxonomic approaches are composed of multiple distinct genetic lineages. Resolving the taxonomy of these lineages requires an integrated approach that combines molecular phylogenies with additional lines of evidence (e.g., morphological, geographical and ecological data), alongside examination of type material. This approach is essential to determine which of these lineages represent distinct species, and in turn whether these distinct species represent nominal species that are valid, are currently considered synonyms, or are undescribed. Given that most scleractinian coral type specimens are bleached skeletons lacking tissue for molecular analysis, the key to testing the validity of nominal species is the collection of topotypes: specimens collected from the type location of the nominal species that closely match the morphology of the type material. These topotypes provide a molecular archetype of the nominal species to allow for robust molecular tests of specimen identity and species evolutionary relationships. Here, we collate information from 383 authorities spanning the period from 1758 to 2025, into a nomenclature containing the taxonomic status and type location for all nominal species of extant hermatypic Scleractinia. The nomenclature database includes information on 2,338 nominal species, including: Nominal species name, species authority, year described, current status (Valid, Invalid, Unaccepted), accepted species name, source of synonymy, and more. Importantly, of these 2,338 nominal species, the type location was traced for 2,132 species to varying levels of precision, with only 206 species type locations remaining untraceable at this time. The nomenclature also includes information on all 383 authorities and the 362 original texts they are contained within. This resource will facilitate the necessary taxonomic revisions to produce a workable taxonomy and provide valuable information for the wider coral reef scientific community and managers trying to confidently apply names to the distinct lineages increasingly revealed by molecular data.<b>Corrections: </b>We welcome any corrections or additions. Please contact us via email below.<b>Contact:</b> augustinecrosbie@gmail.com
DOI: 10.6084/m9.figshare.29987791.v2
title: Database - A nomenclature for the extant hermatypic scleractinian corals including type locations and taxonomic status for 2,338 nominal species.

description: <b>Abstract:</b> Molecular phylogenetic analyses have revealed that many scleractinian coral species described using traditional taxonomic approaches are composed of multiple distinct genetic lineages. Resolving the taxonomy of these lineages requires an integrated approach that combines molecular phylogenies with additional lines of evidence (e.g., morphological, geographical and ecological data), alongside examination of type material. This approach is essential to determine which of these lineages represent distinct species, and in turn whether these distinct species represent nominal species that are valid, are currently considered synonyms, or are undescribed. Given that most scleractinian coral type specimens are bleached skeletons lacking tissue for molecular analysis, the key to testing the validity of nominal species is the collection of topotypes: specimens collected from the type location of the nominal species that closely match the morphology of the type material. These topotypes provide a molecular archetype of the nominal species to allow for robust molecular tests of specimen identity and species evolutionary relationships. Here, we collate information from 383 authorities spanning the period from 1758 to 2025, into a nomenclature containing the taxonomic status and type location for all nominal species of extant hermatypic Scleractinia. The nomenclature database includes information on 2,338 nominal species, including: Nominal species name, species authority, year described, current status (Valid, Invalid, Unaccepted), accepted species name, source of synonymy, and more. Importantly, of these 2,338 nominal species, the type location was traced for 2,132 species to varying levels of precision, with only 206 species type locations remaining untraceable at this time. The nomenclature also includes information on all 383 authorities and the 362 original texts they are contained within. This resource will facilitate the necessary taxonomic revisions to produce a workable taxonomy and provide valuable information for the wider coral reef scientific community and managers trying to confidently apply names to the distinct lineages increasingly revealed by molecular data.<b>Corrections: </b>We welcome any corrections or additions. Please contact us via email below.<b>Contact:</b> augustinecrosbie@gmail.com
DOI: 10.15468/dl.2f5njz
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((116.99 5.91914, 116.919364 5.913569, 116.85047 5.896994, 116.785021 5.869824, 116.724629 5.83273, 116.670783 5.786626, 116.624811 5.732649, 116.587842 5.672132, 116.560786 5.606565, 116.544306 5.537565, 116.538804 5.46683, 116.544411 5.396104, 116.560985 5.327128, 116.588116 5.261598, 116.625133 5.201126, 116.671122 5.147201, 116.724951 5.101149, 116.785295 5.0641, 116.850669 5.036967, 116.919468 5.020416, 116.99 5.014853, 117.060532 5.020416, 117.129331 5.036967, 117.194705 5.0641, 117.255049 5.101149, 117.308878 5.147201, 117.354867 5.201126, 117.391884 5.261598, 117.419015 5.327128, 117.435589 5.396104, 117.441196 5.46683, 117.435694 5.537565, 117.419214 5.606565, 117.392158 5.672132, 117.355189 5.732649, 117.309217 5.786626, 117.255371 5.83273, 117.194979 5.869824, 117.12953 5.896994, 117.060636 5.913569, 116.99 5.91914))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 24 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005573-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.