cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17669405
title: Covariance-Driven Structural Model Dataset on Infrastructure Resilience and Community Satisfaction in Coastal Reclamation Regions of Kota Kinabalu

description: This dataset contains quantitative survey data used to examine the relationship between infrastructure resilience and community satisfaction in reclaimed coastal areas of Kota Kinabalu, Malaysia. The data support the study titled “A Covariance-Driven Structural Model of the Nexus Between Infrastructure Resilience and Community Satisfaction in the Coastal Reclamation Regions of Kota Kinabalu.” The dataset includes responses on five infrastructure dimensions, which are network systems, ecological environment and land use, transportation, energy and urban disaster reduction. The dataset also includes community satisfaction indicators used in the covariance-based structural equation model. The dataset enables replication of the CBSEM analysis reported in the article. It provides evidence for assessing the effects of infrastructure conditions on community well-being in coastal environments exposed to sea-level rise, erosion and extreme weather events. The dataset supports research on urban resilience, coastal development and sustainable urban policy.
DOI: 10.5281/zenodo.17669404
title: Covariance-Driven Structural Model Dataset on Infrastructure Resilience and Community Satisfaction in Coastal Reclamation Regions of Kota Kinabalu

description: This dataset contains quantitative survey data used to examine the relationship between infrastructure resilience and community satisfaction in reclaimed coastal areas of Kota Kinabalu, Malaysia. The data support the study titled “A Covariance-Driven Structural Model of the Nexus Between Infrastructure Resilience and Community Satisfaction in the Coastal Reclamation Regions of Kota Kinabalu.” The dataset includes responses on five infrastructure dimensions, which are network systems, ecological environment and land use, transportation, energy and urban disaster reduction. The dataset also includes community satisfaction indicators used in the covariance-based structural equation model. The dataset enables replication of the CBSEM analysis reported in the article. It provides evidence for assessing the effects of infrastructure conditions on community well-being in coastal environments exposed to sea-level rise, erosion and extreme weather events. The dataset supports research on urban resilience, coastal development and sustainable urban policy.
DOI: 10.71802/h9l38enq
title: Training

description: Training about resource sharing and how to use RSCVD App
DOI: 10.15468/dl.ynfvzv
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Koeleria sclerophylla"
 ]
}

 The dataset includes 90 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001930-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30674294
title: LRA-Range-Correction-for-SLR

description: This dataset provides range correction models for Laser Retroreflector Arrays (LRAs) mounted on Low Earth Orbit (LEO) satellites. The corrections account for dependencies on incidence azimuth, elevation angle, and laser wavelength.<b>Overview</b>This dataset includes correction products for three LRA geometric configurations:Tetrahedral LRA<br>Satellites: GRACE-C, GRACE-D, SWARM-A, SWARM-B, SWARM-C<br>Description: Four-cube tetrahedral corner-cube configuration.Hemisphere LRA with 7 Corner Cubes<br>Satellites: JASON series, Sentinel-3A, Sentinel-3B<br>Description: Hemispherical base equipped with seven corner cubes.Hemisphere LRA with 9 Corner Cubes<br>Satellites: Sentinel-6A<br>Description: Hemispherical base equipped with nine corner cubes.For each configuration, range corrections (in millimetres) are provided as functions of:incidence azimuth angle (0°–360°),elevation angle (0°–90°),laser wavelength (e.g., 532 nm, 1064 nm).These corrections can be applied to Satellite Laser Ranging (SLR) observations to improve ranging accuracy.<b>Usage</b>Typical applications include:interpolating correction values for specific azimuth, elevation, and wavelength,applying corrections to raw SLR range measurements,visualising correction surfaces across incident geometry.General workflow:Load the correction table corresponding to the satellite’s LRA geometry.Interpolate the correction value based on azimuth, elevation, and wavelength.Apply the correction to the measured SLR range.
DOI: 10.6084/m9.figshare.30674294.v1
title: LRA-Range-Correction-for-SLR

description: This dataset provides range correction models for Laser Retroreflector Arrays (LRAs) mounted on Low Earth Orbit (LEO) satellites. The corrections account for dependencies on incidence azimuth, elevation angle, and laser wavelength.<b>Overview</b>This dataset includes correction products for three LRA geometric configurations:Tetrahedral LRA<br>Satellites: GRACE-C, GRACE-D, SWARM-A, SWARM-B, SWARM-C<br>Description: Four-cube tetrahedral corner-cube configuration.Hemisphere LRA with 7 Corner Cubes<br>Satellites: JASON series, Sentinel-3A, Sentinel-3B<br>Description: Hemispherical base equipped with seven corner cubes.Hemisphere LRA with 9 Corner Cubes<br>Satellites: Sentinel-6A<br>Description: Hemispherical base equipped with nine corner cubes.For each configuration, range corrections (in millimetres) are provided as functions of:incidence azimuth angle (0°–360°),elevation angle (0°–90°),laser wavelength (e.g., 532 nm, 1064 nm).These corrections can be applied to Satellite Laser Ranging (SLR) observations to improve ranging accuracy.<b>Usage</b>Typical applications include:interpolating correction values for specific azimuth, elevation, and wavelength,applying corrections to raw SLR range measurements,visualising correction surfaces across incident geometry.General workflow:Load the correction table corresponding to the satellite’s LRA geometry.Interpolate the correction value based on azimuth, elevation, and wavelength.Apply the correction to the measured SLR range.
DOI: 10.71802/l8fammnt
title: Webinars

description: Webinars about RSCVD Community
DOI: 10.57756/qj252b
title: 3D model of a Giant Deer (NHMW-GEO-1876/0030/0003)

description: <p>3D scan of an original fossilized skeleton of a giant deer (<em>Megaloceros giganteus</em>) found in Ireland from the Late Pleistocene (ca. 12,000 years old). The males had a shoulder height of around 2.1 meters and their antlers are the largest known in any deer with a width up to 4 meters. The giant deer disappeared around 11,700 years ago in Europe, like many other animals from the Ice Age. This skeleton – like many others of its sort – was found in a peat bog 
in Ireland. The bog preserved the bones over thousands of years which 
also led to the dark color of the bones. This specimen’s antlers are around 2.6 meters wide.</p>
DOI: 10.5281/zenodo.14614697
title: Organic carbon vulnerable to mobile bottom fishing in currently unfished areas of the Norwegian continental margin

description: Results of an analysis of organic carbon that is stored in surface sediments of the Norwegian margin and its potential vulnerability to mobile bottom fishing in currently unfished areas.

OC - organic carbon

sf - surface layer (0 - 2 cm)

SVR - surface volume ratio
DOI: 10.5281/zenodo.14614698
title: Organic carbon vulnerable to mobile bottom fishing in currently unfished areas of the Norwegian continental margin

description: Results of an analysis of organic carbon that is stored in surface sediments of the Norwegian margin and its potential vulnerability to mobile bottom fishing in currently unfished areas.

OC - organic carbon

sf - surface layer (0 - 2 cm)

SVR - surface volume ratio
DOI: 10.5281/zenodo.17635570
title: Dataset for "Using Explainable Artificial Intelligence for Classifying Roles in Source Code"

description: This dataset contains the materials used in the study “Using Explainable Artificial Intelligence for Classifying Roles in Source Code.” It includes manual Entity–Boundary–Control (EBC) role annotations, LIME-based explanation validations, and the machine-learning models and notebooks used to generate topic classifications, EBC predictions, and XAI explanations. The package supports reproducibility of the study’s workflow and enables further research on interpretable ML techniques for program comprehension.

 

The materials support three main components of the study:1. Manual EBC Role AnnotationThese files provide human-labeled ground truth for 64 Java source files across four packages (awt, awt.dnd, awt.text, awt.converter) from the Pumpernickel open-source project.Included materials: • Manual Annotation EBC – awt.pdf • Manual Annotation EBC.xlsxEach file entry includes the package, file name, code snippet, role label (Entity/Boundary/Control), and expert reviewer's annotation notes.

2. XAI-Based EBC Role ValidationThis folder contains expert validation of LIME explanations for 60 test files (20 per role).Included materials: • EBC XAI Validation – Validation.pdf • EBC XAI Validation.xlsx

The validation includes: • LIME feature weights for each prediction • Expert ratings on a 1–5 scale • Additional comments on explanation clarity and role fit

3. Machine Learning Pipelines and ModelsThis section includes the complete ML artifacts used in the study for topic classification and EBC role prediction, ensuring full reproducibility.Included materials: • tfidf_rf_ebc_pipeline.pkl • tfidf_vectorizer_best_lite.pkl • random_forest_model_best_lite.pkl • topic_classification.ipynb • EBC_LIME.ipynb

These files allow direct recreation of: • Topic-model probabilities • File-level EBC predictions • LIME explanation outputs for each source file

Purpose of the DatasetThis dataset enables researchers to: • Study multi-granular program comprehension (package → file → explanation) • Reproduce ML experiments for EBC classification • Replicate and validate XAI (LIME-based) explanations • Explore program comprehension with interpretable machine learning techniques • Build extensions for top-down understanding tools
DOI: 10.5281/zenodo.17635571
title: Dataset for "Using Explainable Artificial Intelligence for Classifying Roles in Source Code"

description: This dataset contains the materials used in the study “Using Explainable Artificial Intelligence for Classifying Roles in Source Code.” It includes manual Entity–Boundary–Control (EBC) role annotations, LIME-based explanation validations, and the machine-learning models and notebooks used to generate topic classifications, EBC predictions, and XAI explanations. The package supports reproducibility of the study’s workflow and enables further research on interpretable ML techniques for program comprehension.

 

The materials support three main components of the study:1. Manual EBC Role AnnotationThese files provide human-labeled ground truth for 64 Java source files across four packages (awt, awt.dnd, awt.text, awt.converter) from the Pumpernickel open-source project.Included materials: • Manual Annotation EBC – awt.pdf • Manual Annotation EBC.xlsxEach file entry includes the package, file name, code snippet, role label (Entity/Boundary/Control), and expert reviewer's annotation notes.

2. XAI-Based EBC Role ValidationThis folder contains expert validation of LIME explanations for 60 test files (20 per role).Included materials: • EBC XAI Validation – Validation.pdf • EBC XAI Validation.xlsx

The validation includes: • LIME feature weights for each prediction • Expert ratings on a 1–5 scale • Additional comments on explanation clarity and role fit

3. Machine Learning Pipelines and ModelsThis section includes the complete ML artifacts used in the study for topic classification and EBC role prediction, ensuring full reproducibility.Included materials: • tfidf_rf_ebc_pipeline.pkl • tfidf_vectorizer_best_lite.pkl • random_forest_model_best_lite.pkl • topic_classification.ipynb • EBC_LIME.ipynb

These files allow direct recreation of: • Topic-model probabilities • File-level EBC predictions • LIME explanation outputs for each source file

Purpose of the DatasetThis dataset enables researchers to: • Study multi-granular program comprehension (package → file → explanation) • Reproduce ML experiments for EBC classification • Replicate and validate XAI (LIME-based) explanations • Explore program comprehension with interpretable machine learning techniques • Build extensions for top-down understanding tools
DOI: 10.15468/dl.r5rym3
title: Occurrence Download

description: A dataset containing 14277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Phylloscopus ibericus",
 "Year 2024-2025"
 ]
}

 The dataset includes 14277 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001932-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30674681
title: Datasheet_Stocking Density and Biofilm-based microalgae on larvae and post-larvae of the Clam <i>Ruditapes decussatus</i>

description: This database was used to investigate the effects of larval and settlement densities on <i>R. decussatus</i> survival, growth, and settlement under hatchery conditions and the effect of natural biofilm-based microalgae on settlement and post-larval performance.
DOI: 10.6084/m9.figshare.30674681.v1
title: Datasheet_Stocking Density and Biofilm-based microalgae on larvae and post-larvae of the Clam <i>Ruditapes decussatus</i>

description: This database was used to investigate the effects of larval and settlement densities on <i>R. decussatus</i> survival, growth, and settlement under hatchery conditions and the effect of natural biofilm-based microalgae on settlement and post-larval performance.
DOI: 10.15468/dl.speps8
title: Occurrence Download

description: A dataset containing 1193906 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Cambodia"
 ]
}

 The dataset includes 1193906 records from 672 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001918-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110812827
title: Hellenistic Molded Bowl with Vegetal Decoration, BMC P.1630

description: [Text Description:] Hellenistic ❧ [Text or Publication Number Note:] BMC P.1630 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Molded Bowl ❧ [Physical Object Note:] 2 3/8 x 4 3/16 x 4 1/8 in. (6 x 10.6 x 10.5 cm) ❧ [Physical Object Note:] Bowls
DOI: 10.25549/inscriptifact-ouc110812852
title: Hellenistic Molded Bowl with Vegetal Decoration, BMC P.1630

description: [Text Description:] Hellenistic ❧ [Text or Publication Number Note:] BMC P.1630 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Molded Bowl ❧ [Physical Object Note:] 2 3/8 x 4 3/16 x 4 1/8 in. (6 x 10.6 x 10.5 cm) ❧ [Physical Object Note:] Bowls
DOI: 10.15468/dl.d8j84b
title: Occurrence Download

description: A dataset containing 3159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-108.16946 22.31425,-69.17014 22.31425,-69.17014 45.88394,-108.16946 45.88394,-108.16946 22.31425))",
 "HasCoordinate is true",
 "TaxonKey is Aphaenogaster fulva Roger, 1863"
 ]
}

 The dataset includes 3159 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007014-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e2d2un
title: Occurrence Download

description: A dataset containing 19854 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cantorchilus longirostris (Vieillot, 1819)"
 ]
}

 The dataset includes 19854 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015509-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k2yvwz
title: Occurrence Download

description: A dataset containing 17946 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Callinectes sapidus Rathbun, 1896",
 "Year 2020-2025"
 ]
}

 The dataset includes 17946 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015508-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6996b3
title: Occurrence Download

description: A dataset containing 1618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Zosterops conspicillatus (Kittlitz, 1833))",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 1618 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015510-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ureutr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Zosterops conspicillatus (Kittlitz, 1833))",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015511-250525065834625/datasets/export for details.
DOI: 10.34740/kaggle/dsv/12037480
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.9wy9rw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lagopus leucura",
 "Country is Chinese Taipei",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049006-250811113504898/datasets/export for details.
DOI: 10.15468/dl.wc2wa6
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Bangladesh, Myanmar, Bhutan, Nepal, Pakistan, Afghanistan)",
 "TaxonKey is Polytremis lubricans"
 ]
}

 The dataset includes 177 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049005-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9s3cn3
title: Occurrence Download

description: A dataset containing 428006 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is NLD.14.67_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2020-2025"
 ]
}

 The dataset includes 428006 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048974-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n4n3qz
title: Occurrence Download

description: A dataset containing 31214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sorbaria sorbifolia"
 ]
}

 The dataset includes 31214 records from 452 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049003-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.symbe5
title: Occurrence Download

description: A dataset containing 141 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 Pithecoctenium Mart. ex Meisn."
 ]
}

 The dataset includes 141 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013526-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqr26u
title: Occurrence Download

description: A dataset containing 1620 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mushrooms Flora of Nepal at National Herbarium and Plant Laboratories (KATH)"
 ]
}

 The dataset includes 1620 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009066-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6zm2d5
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rottboellia cochinchinensis (Lour.) Clayton",
 "Country is Cambodia"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009659-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.