cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26021/canterburynz.29231837
title: Planet image metadata: Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery

description: Planet image metadata associated with collection: Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery: An Assessment of Machine Learning Models Across the Diverse Waterscapes of New Zealand (10.26021/canterburynz.c.7848596).Each file is a GeoPackage (gpkg) containing two polygon vector layers:"images" contains the footprint of each original Planet SuperDove image within the area of interest, and associated image metadata."coverage" contains polygons identifying which images were used to create a mosaic, then used further processing. Each pixel consisted of the values from only one image (with the highest priority).The file name for each gpkg is <b>xxxxx_meta.gpkg</b>, where xxxxx refers to the UUID of the grid area, which can be found in the file nzgrid_uuid.gpkg.
DOI: 10.26021/canterburynz.29231837.v1
title: Planet image metadata: Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery

description: Planet image metadata associated with collection: Mapping Wetlands with High Resolution Planet SuperDove Satellite Imagery: An Assessment of Machine Learning Models Across the Diverse Waterscapes of New Zealand (10.26021/canterburynz.c.7848596).Each file is a GeoPackage (gpkg) containing two polygon vector layers:"images" contains the footprint of each original Planet SuperDove image within the area of interest, and associated image metadata."coverage" contains polygons identifying which images were used to create a mosaic, then used further processing. Each pixel consisted of the values from only one image (with the highest priority).The file name for each gpkg is <b>xxxxx_meta.gpkg</b>, where xxxxx refers to the UUID of the grid area, which can be found in the file nzgrid_uuid.gpkg.
DOI: 10.15468/dl.mrch8d
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Monnina obtusifolia Kunth"
 ]
}

 The dataset includes 62 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021023-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25417/uic.25360474
title: Joint-level kinematic patterns during walking with wearable sensors - study data

description: Purpose: After stroke, walking is characterized by hemiparetic patterns, quantified with force sensitive walkways and motion capture systems. Some joint-level kinematic patterns of walking also can be obtained with wearable sensors. The purpose of this project was to measure joint-level kinematic patterns during walking with wearable sensors and determine the association with walking speed and endurance in individuals with chronic stroke. Methods: In this cross-sectional observational study, participants donned APDM Opal wearable sensors during walking tests (10-meter walk test or 6-minute walk test). We extracted joint-level kinematic variables of elevation at midswing, circumduction, foot strike angle, and toe off angle. Associations of each variable with walking speed and endurance were tested, and significantly associated variables were entered into a regression model. Results: 68 individuals with chronic stroke were included. We found that the less affected foot strike angle, less affected toe off angle, and more affected toe off angle were significant predictors of walking speed (R2≥0.71, p&lt;0.001). Less affected toe off angle, more affected foot strike angle, and more affected toe off angle were significant predictors of walking endurance (R2≥0.67, p&lt;0.001). Conclusion: We found consistent evidence that greater toe off angle (may reflect greater push-off) and lesser foot strike angle (may reflect lesser foot drop) were important predictors of greater walking speed and endurance. Our results suggest that wearable sensors can provide important information about joint-level kinematic patterns that are important for walking function. This information could help therapists target interventions towards specific deficits or compensatory patterns to improve walking.Data related to publication: Cleland, B.T., Kim, M. & Madhavan, S. The Relation Between Hemiparetic Gait Patterns and Walking Function After Stroke, as Measured with Wearable Sensors. <i>Ann Biomed Eng</i> (2025). https://doi.org/10.1007/s10439-025-03754-7
DOI: 10.25417/uic.25360474.v1
title: Joint-level kinematic patterns during walking with wearable sensors - study data

description: Purpose: After stroke, walking is characterized by hemiparetic patterns, quantified with force sensitive walkways and motion capture systems. Some joint-level kinematic patterns of walking also can be obtained with wearable sensors. The purpose of this project was to measure joint-level kinematic patterns during walking with wearable sensors and determine the association with walking speed and endurance in individuals with chronic stroke. Methods: In this cross-sectional observational study, participants donned APDM Opal wearable sensors during walking tests (10-meter walk test or 6-minute walk test). We extracted joint-level kinematic variables of elevation at midswing, circumduction, foot strike angle, and toe off angle. Associations of each variable with walking speed and endurance were tested, and significantly associated variables were entered into a regression model. Results: 68 individuals with chronic stroke were included. We found that the less affected foot strike angle, less affected toe off angle, and more affected toe off angle were significant predictors of walking speed (R2≥0.71, p&lt;0.001). Less affected toe off angle, more affected foot strike angle, and more affected toe off angle were significant predictors of walking endurance (R2≥0.67, p&lt;0.001). Conclusion: We found consistent evidence that greater toe off angle (may reflect greater push-off) and lesser foot strike angle (may reflect lesser foot drop) were important predictors of greater walking speed and endurance. Our results suggest that wearable sensors can provide important information about joint-level kinematic patterns that are important for walking function. This information could help therapists target interventions towards specific deficits or compensatory patterns to improve walking.Data related to publication: Cleland, B.T., Kim, M. & Madhavan, S. The Relation Between Hemiparetic Gait Patterns and Walking Function After Stroke, as Measured with Wearable Sensors. <i>Ann Biomed Eng</i> (2025). https://doi.org/10.1007/s10439-025-03754-7
DOI: 10.15468/dl.wst2nh
title: Occurrence Download

description: A dataset containing 1356 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Culex pipiens Linnaeus, 1758",
 "Year 1990-2025"
 ]
}

 The dataset includes 1356 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021024-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.draax9
title: Occurrence Download

description: A dataset containing 502968 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Melastomataceae"
 ]
}

 The dataset includes 502968 records from 317 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021014-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.juqdsa
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Indigofera blanchetiana Benth."
 ]
}

 The dataset includes 125 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020267-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7805/ebdc-ipms-2024
title: Ifo Personnel Manager Survey (2024)

description: Das ifo Institut befragt seit 2008 im Auftrag der Randstad Deutschland GmbH und Compagnie Kommanditgesellschaft vierteljährlich Personalchefs aus unterschiedlichen Wirtschaftsbereichen nach der Bedeutung von Flexibilisierung bei der Personalsteuerung. Damit soll der Frage nachgegangen werden, welche Rolle entsprechende Flexibilisierungsma�nahmen nicht nur im Konjunkturzyklus, mit der auf ein aktuelles personalpolitisches Thema eingegangen wird. Der Randstad-ifo
description: Das ifo Institut befragt seit 2008 im Auftrag der Randstad Deutschland GmbH und Compagnie Kommanditgesellschaft vierteljährlich Personalchefs aus unterschiedlichen Wirtschaftsbereichen nach der Bedeutung von Flexibilisierung bei der Personalsteuerung. Damit soll der Frage nachgegangen werden, welche Rolle entsprechende Flexibilisierungsma�nahmen nicht nur im Konjunkturzyklus, sondern auch auf lange Frist spielen. Daneben wird in jedem Quartal eine Sonderfrage gestellt, mit der auf ein aktuelles personalpolitisches Thema eingegangen wird. Der Randstad-ifo-flexindex wird von der Randstad Deutschland GmbH und Compagnie Kommanditgesellschaft veröffentlicht.
description: The ifo Institute conducts since 2008 a quarterly survey for Randstad Deutschland GmbH und Compagnie Kommanditgesellschaft of personnel managers from different economic sectors as to the importance of flexibility in personnel management. The survey examines the question of what role corresponding flexibility measures play not only in the business cycle but also in the long term. Additionally, a special question is asked every quarter on a current personnel-policy topic. The Randstad-ifo-flexindex is published by the Randstad Deutschland GmbH und Compagnie Kommanditgesellschaft.
description: Self-administered questionnaire
DOI: 10.15468/dl.wtr6sn
title: Occurrence Download

description: A dataset containing 2620 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polyporus umbellatus (Pers.) Fr."
 ]
}

 The dataset includes 2620 records from 172 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020269-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3xu57e
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Leptolobium parvifolium (Harms) Sch.Rodr. & A.M.G.Azevedo"
 ]
}

 The dataset includes 7 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020270-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u873xw
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Leucochloron limae Barneby & J.W.Grimes"
 ]
}

 The dataset includes 19 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020272-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mcmm9q
title: Occurrence Download

description: A dataset containing 52173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Vuhuangia Solomon Raju, Molinari & Mayta, 2016, Perillula Maxim., Collinsonia L., Mosla (Benth.) Buch.-Ham. ex Maxim., Elsholtzia Willd.)"
 ]
}

 The dataset includes 52173 records from 532 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020258-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxa89e
title: Occurrence Download

description: A dataset containing 2354 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Conocliniopsis grossedentata (Mart. ex Colla) D.J.N.Hind"
 ]
}

 The dataset includes 2354 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020273-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bt98x8
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Isoetes septentrionalis D.F.Brunt."
 ]
}

 The dataset includes 116 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020274-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vv5x8v
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Collezione di Mastigophora dell’Erbario generale del Museo di Storia naturale di Firenze | Mastigophora collection of the General Herbarium of the Natural History Museum of Florence"
 ]
}

 The dataset includes 101 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020275-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15593446
title: Plant phenology observations and associated weather data prepared for Machine Learning processing

description: This dataset has been crafted for training Machine Learning models to predict the phenological stage of plants, given a location, a date and weather conditions.

This work is part of the Greenmorrow project, led by the French company Younup.
DOI: 10.5281/zenodo.15593447
title: Plant phenology observations and associated weather data prepared for Machine Learning processing

description: This dataset has been crafted for training Machine Learning models to predict the phenological stage of plants, given a location, a date and weather conditions.

This work is part of the Greenmorrow project, led by the French company Younup.
DOI: 10.15468/dl.7678pf
title: Occurrence Download

description: A dataset containing 20160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tamias sibiricus (Laxmann, 1769))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 20160 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020276-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pmchsv
title: Occurrence Download

description: A dataset containing 292 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Costus wilsonii Maas"
 ]
}

 The dataset includes 292 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020279-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t7a4q7
title: Occurrence Download

description: A dataset containing 2025 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Libidibia ferrea (Mart. ex Tul.) L.P.Queiroz"
 ]
}

 The dataset includes 2025 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020277-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d74498
title: Occurrence Download

description: A dataset containing 16581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is BEL",
 "OccurrenceStatus is Present",
 "TaxonKey is Solanum dulcamara L.",
 "Year 2010-2025"
 ]
}

 The dataset includes 16581 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020280-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kqzevu
title: Occurrence Download

description: A dataset containing 10624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Saxifraga caesia L."
 ]
}

 The dataset includes 10624 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020281-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2b75d
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Luetzelburgia andrade-limae H.C.Lima"
 ]
}

 The dataset includes 147 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020282-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4vnz4
title: Occurrence Download

description: A dataset containing 415 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Luetzelburgia bahiensis Yakovlev"
 ]
}

 The dataset includes 415 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020283-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qwbr37
title: Occurrence Download

description: A dataset containing 5594355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Squamata",
 "Year 2000-2025"
 ]
}

 The dataset includes 5594355 records from 7283 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020212-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.69trbc
title: Occurrence Download

description: A dataset containing 333820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bromus sterilis",
 "Year 1957-2022"
 ]
}

 The dataset includes 333820 records from 2448 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006594-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/dp/21330132
title: Moment Tensor for April 22, 2023 MW 4.9 (GCMT) MINDANAO, PHILIPPINES
DOI: 10.17611/dp/21330138
title: Moment Tensor for April 22, 2023 MW 4.7 (GCMT) TAIWAN REGION
DOI: 10.17611/dp/21330144
title: Moment Tensor for April 22, 2023 MW 6.3 (GCMT) BANDA SEA
DOI: 10.17611/dp/21330150
title: Moment Tensor for April 22, 2023 MW 5.5 (GCMT) BANDA SEA
DOI: 10.17611/dp/21330156
title: Moment Tensor for April 22, 2023 MW 5.4 (GCMT) SOUTHEAST OF EASTER ISLAND
DOI: 10.17611/dp/21330162
title: Moment Tensor for April 22, 2023 MW 6.0 (GCMT) SOUTHERN SUMATRA, INDONESIA
DOI: 10.15468/dl.75t7b2
title: Occurrence Download

description: A dataset containing 20263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Potamogeton trichoides"
 ]
}

 The dataset includes 20263 records from 351 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004573-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/dp/21330168
title: Moment Tensor for April 22, 2023 MW 5.9 (GCMT) SOUTHERN SUMATRA, INDONESIA
DOI: 10.17611/dp/21330174
title: Moment Tensor for April 22, 2023 MW 5.3 (GCMT) SOUTHERN SUMATRA, INDONESIA
DOI: 10.17611/dp/21330180
title: Moment Tensor for April 23, 2023 MW 4.8 (GCMT) TONGA ISLANDS
DOI: 10.17611/dp/21330186
title: Moment Tensor for April 23, 2023 MW 5.4 (GCMT) LUZON, PHILIPPINES
DOI: 10.17611/dp/21330192
title: Moment Tensor for April 23, 2023 MW 5.1 (GCMT) NEW GUINEA, PAPUA NEW GUINEA
DOI: 10.17611/dp/21330198
title: Moment Tensor for April 23, 2023 MW 5.2 (GCMT) PHILIPPINE ISLANDS REGION
DOI: 10.17611/dp/21330204
title: Moment Tensor for April 23, 2023 MW 5.0 (GCMT) KERMADEC ISLANDS REGION
DOI: 10.17611/dp/21330210
title: Moment Tensor for April 23, 2023 MW 4.9 (GCMT) KERMADEC ISLANDS REGION
DOI: 10.17611/dp/21330216
title: Moment Tensor for April 23, 2023 MW 5.4 (GCMT) SOUTH SANDWICH ISLANDS REGION
DOI: 10.17611/dp/21330222
title: Moment Tensor for April 24, 2023 MW 7.1 (GCMT) KERMADEC ISLANDS, NEW ZEALAND
DOI: 10.17611/dp/21330228
title: Moment Tensor for April 24, 2023 MW 5.1 (GCMT) MINDANAO, PHILIPPINES
DOI: 10.17611/dp/21330234
title: Moment Tensor for April 24, 2023 MW 4.9 (GCMT) NICOBAR ISLANDS, INDIA REGION
DOI: 10.17611/dp/21330240
title: Moment Tensor for April 24, 2023 MW 5.0 (GCMT) SOUTH OF ALASKA
DOI: 10.17611/dp/21330246
title: Moment Tensor for April 24, 2023 MW 5.0 (GCMT) KERMADEC ISLANDS, NEW ZEALAND
DOI: 10.17611/dp/21330252
title: Moment Tensor for April 24, 2023 MW 5.1 (GCMT) NEW GUINEA, PAPUA NEW GUINEA
DOI: 10.17611/dp/21330258
title: Moment Tensor for April 24, 2023 MW 7.0 (GCMT) SOUTHERN SUMATRA, INDONESIA
DOI: 10.17611/dp/21330264
title: Moment Tensor for April 25, 2023 MW 5.3 (GCMT) NEAR COAST OF ECUADOR
DOI: 10.17611/dp/21330270
title: Moment Tensor for April 25, 2023 MW 5.6 (GCMT) WEST CHILE RISE
DOI: 10.17611/dp/21330276
title: Moment Tensor for April 25, 2023 MW 4.6 (GCMT) YELLOW SEA
DOI: 10.17611/dp/21330282
title: Moment Tensor for April 25, 2023 MW 4.9 (GCMT) SOUTH SANDWICH ISLANDS REGION
DOI: 10.17611/dp/21330288
title: Moment Tensor for April 25, 2023 MW 5.7 (GCMT) NORTH ISLAND, NEW ZEALAND
DOI: 10.17611/dp/21330294
title: Moment Tensor for April 26, 2023 MW 5.7 (GCMT) MID-INDIAN RIDGE
DOI: 10.17611/dp/21330300
title: Moment Tensor for April 26, 2023 MW 5.0 (GCMT) MID-INDIAN RIDGE
DOI: 10.17611/dp/21330306
title: Moment Tensor for April 26, 2023 MW 5.2 (GCMT) DODECANESE ISLANDS, GREECE
DOI: 10.17611/dp/21330312
title: Moment Tensor for April 26, 2023 MW 4.8 (GCMT) SOUTHERN SUMATRA, INDONESIA
DOI: 10.17611/dp/21330318
title: Moment Tensor for April 27, 2023 MW 5.0 (GCMT) SOUTH SANDWICH ISLANDS REGION
DOI: 10.17611/dp/21330324
title: Moment Tensor for April 27, 2023 MW 5.0 (GCMT) CENTRAL CHILE
DOI: 10.17611/dp/21330330
title: Moment Tensor for April 27, 2023 MW 5.3 (GCMT) RYUKYU ISLANDS, JAPAN
DOI: 10.17611/dp/21330336
title: Moment Tensor for April 27, 2023 MW 4.8 (GCMT) RYUKYU ISLANDS, JAPAN
DOI: 10.17611/dp/21330342
title: Moment Tensor for April 27, 2023 MW 4.9 (GCMT) NEPAL