cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ef6dhf
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Chile",
 "Geometry MULTIPOLYGON (((-71.67096 -37.72792, -71.67843 -37.73812, -71.68049 -37.7445, -71.69926 -37.74543, -71.70175 -37.76629, -71.68767 -37.76537, -71.67052 -37.76908, -71.66392 -37.76629, -71.65629 -37.76595, -71.64632 -37.76409, -71.63987 -37.76919, -71.62374 -37.77081, -71.61143 -37.76432, -71.60292 -37.75296, -71.60204 -37.74461, -71.60556 -37.7358, -71.61319 -37.73557, -71.62668 -37.73743, -71.63723 -37.73418, -71.64515 -37.72815, -71.66216 -37.72444, -71.67096 -37.72792)))"
 ]
}

 The dataset includes 56 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018143-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8zscy3
title: Occurrence Download

description: A dataset containing 23320 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptosporangiaceae"
 ]
}

 The dataset includes 23320 records from 269 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018142-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14687890
title: TREE-LiMS: a dataset of multitemporal UAV lidar and multispectral data at single tree level in beech forests
DOI: 10.5281/zenodo.14650938
title: TREE-LiMS: a dataset of multitemporal UAV lidar and multispectral data at single tree level in beech forests
DOI: 10.5281/zenodo.14671467
title: TREE-LiMS: a dataset of multitemporal UAV lidar and multispectral data at single tree level in beech forests
DOI: 10.5281/zenodo.14674398
title: TREE-LiMS: a dataset of multitemporal UAV lidar and multispectral data at single tree level in beech forests
DOI: 10.5281/zenodo.14698055
title: TREE-LiMS: a dataset of multitemporal UAV lidar and multispectral data at single tree level in beech forests
DOI: 10.5281/zenodo.15340789
title: TREE-LiMS: a dataset of multitemporal UAV lidar and multispectral data at single tree level in beech forests
DOI: 10.5281/zenodo.15586272
title: TREE-LiMS: a dataset of multitemporal UAV lidar and multispectral data at single tree level in beech forests
DOI: 10.15468/dl.hwgb3q
title: Occurrence Download

description: A dataset containing 1187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "OccurrenceStatus is Present",
 "TaxonKey is Hystrix cristata Linnaeus, 1758"
 ]
}

 The dataset includes 1187 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018144-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfw3aa
title: Occurrence Download

description: A dataset containing 79714 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 (Phylloscopus trochilus (Linnaeus, 1758))",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 79714 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018124-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/t8xd9c
title: Replication Data for: "Managing Mental Accounts Payment Cards and Consumption Expenditures"

description: Stata do-files to produce the tables.
DOI: 10.15468/dl.9yp6e5
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dalbergia catingicola Harms"
 ]
}

 The dataset includes 51 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018146-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phqxh6
title: Occurrence Download

description: A dataset containing 13417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Arthrobacter Conn & Dimmick, 1947"
 ]
}

 The dataset includes 13417 records from 332 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018147-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szjsy6
title: Occurrence Download

description: A dataset containing 326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dalbergia cearensis Ducke"
 ]
}

 The dataset includes 326 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018148-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/t0g0nu
title: Human Rights Enforcement from Below: Private Actors and Prosecutorial Momentum in Latin America and Europe

description: Over the last three decades, thousands of prosecutions for human rights abuses have progressed through domestic courts, a puzzling fact considering that state leaders have little incentive to punish their own agents. Previous studies have advanced rational-choice or sociological-institutionalist accounts of this phenomenon, emphasizing the role of political coalitions or regional cultures. Few, though, have recognized the local, private struggles that lie at the root of the trend toward domestic human rights enforcement. In this article, we develop a historical-institutionalist theory of normative change centered on the notion of “prosecutorial momentum.” We contend that the rise in domestic trials against rights-abusing state agents in Europe and Latin America results in large part from the cumulative efforts of victims and human rights lawyers utilizing their rights to private criminal prosecution. Using a new data set and mixed methods, we offer a systematic analysis of how rights to private criminal prosecution, when activated in response to a legacy of repression, helps set in motion sustained efforts to pursue domestic enforcement and compliance with international law.
DOI: 10.5281/zenodo.10148587
title: EXIOBASE HYBRID v3 - 2011

description: The hybrid version of EXIOBASE, which is part of wider input-output database , is a multi-regional supply and use table. Here the term hybrid indicates that physical flows are accounted in mass units, energy flows in TJ and services in millions of euro (current prices).


EXIOBASE 3 provides a time series of environmentally extended multi-regional input‐output (EE MRIO) tables ranging from 1995 to a recent year for 44 countries (28 EU member plus 16 major economies) and five rest of the world regions. EXIOBASE 3 builds upon the previous versions of EXIOBASE by using rectangular supply‐use tables (SUT) in a 163 industry by 200 products classification as the main building blocks. The tables are provided in current, basic prices (Million EUR).


EXIOBASE 3 is the culmination of work in the FP7 DESIRE project and builds upon earlier work on EXIOBASE 2 in the FP7 CREEA project, EXIOBASE 1 of the FP6 EXIOPOL project and FORWAST project. 


A special issue of Journal of Industrial Ecology (Volume 22, Issue 3) describes the build process and some use cases of EXIOBASE 3.
DOI: 10.15468/dl.wzr2qy
title: Occurrence Download

description: A dataset containing 2376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.47895 36.68308,-4.48468 36.66778,-4.45543 36.65605,-4.44525 36.68274,-4.46624 36.69022,-4.47917 36.68342,-4.47959 36.68376,-4.47895 36.68308))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 2376 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018150-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9cjch
title: Occurrence Download

description: A dataset containing 2328 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.47347 36.66344,-4.44859 36.66344,-4.44859 36.67936,-4.47347 36.67936,-4.47347 36.66344))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 2328 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018149-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mk9z7g
title: Occurrence Download

description: A dataset containing 3140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.49308 36.65616,-4.44187 36.65616,-4.44187 36.69723,-4.49308 36.69723,-4.49308 36.65616))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 3140 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018151-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pbcpkn
title: Occurrence Download

description: A dataset containing 4512074 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 (Phylloscopus trochilus (Linnaeus, 1758))",
 "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 4512074 records from 2691 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018128-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/g6pxf8nnt6
title: A comprehensive dataset for monitoring photovoltaic panels and weather parameters in urban Bangladesh

description: This dataset presents high-resolution measurements collected over a year from a rooftop solar monitoring system in Dhaka, Bangladesh. Two 20W monocrystalline photovoltaic (PV) panels were used in the study—one was regularly cleaned, while the other was left unmaintained. Sensors were installed on both panels to monitor their performance and environmental conditions. Data were logged at 30-second intervals each day, from 6:00 AM to 6:00 PM, between November 2019 and October 2020.
This dataset includes parameters such as panel surface temperature, short-circuit current, wind speed, humidity, and air pressure. Additionally, derived metrics such as open-circuit voltage, solar irradiance, electrical power, and cumulative energy output are calculated using established equations and included in the dataset. Each day is represented by a dedicated CSV file with approximately 1400 entries containing time-stamped entries for raw and computed values.

This dataset is ideal for researchers and developers interested in solar energy performance, climate impact analysis, the effects of dust accumulation, and data-driven modelling. It serves as a valuable resource for validating simulation tools, training machine learning models, and supporting clean energy research in subtropical urban environments. All data is provided in CSV format and requires no preprocessing for reuse.
DOI: 10.17632/g6pxf8nnt6.2
title: A comprehensive dataset for monitoring photovoltaic panels and weather parameters in urban Bangladesh

description: This dataset presents high-resolution measurements collected over a year from a rooftop solar monitoring system in Dhaka, Bangladesh. Two 20W monocrystalline photovoltaic (PV) panels were used in the study—one was regularly cleaned, while the other was left unmaintained. Sensors were installed on both panels to monitor their performance and environmental conditions. Data were logged at 30-second intervals each day, from 6:00 AM to 6:00 PM, between November 2019 and October 2020.
This dataset includes parameters such as panel surface temperature, short-circuit current, wind speed, humidity, and air pressure. Additionally, derived metrics such as open-circuit voltage, solar irradiance, electrical power, and cumulative energy output are calculated using established equations and included in the dataset. Each day is represented by a dedicated CSV file with approximately 1400 entries containing time-stamped entries for raw and computed values.

This dataset is ideal for researchers and developers interested in solar energy performance, climate impact analysis, the effects of dust accumulation, and data-driven modelling. It serves as a valuable resource for validating simulation tools, training machine learning models, and supporting clean energy research in subtropical urban environments. All data is provided in CSV format and requires no preprocessing for reuse.
DOI: 10.57701/suf.rtbn.2013.1-0
title: Versichertenrentenbestand 2013
title: SUF
title: RTBN

description: Scientific Use File Versichertenrentenbestand (SUF.RTBN):Grundlage des Querschnittsdatensatzes SUF.RTBN ist die Rentenbestandsstatistik (§ 7 RSVwV, SK90), die alle Rentenbestandsfälle zum Dezember des Berichtsjahres umfasst. Die Grundgesamtheit des SUF.RTBN bilden Alters- und Erwerbsminderungsrenten sowie reine Kindererziehungsleistungen. Die Größe der Zufallsstichprobe beträgt 1 Prozent. Berichtet wird neben demographischen Angaben über wichtige rentenrechtliche Sachverhalte wie beispielsweise Rentenhöhe, Komponenten des Rentenzahlbetrages, Entgeltpunkte sowie angerechnete versicherungsrechtliche Zeiten.
DOI: 10.17632/9zpmt2jhr9.1
title: Digital government and corporate investment: Effects and mechanisms

description: This replication package contains all the available data, code, and instructions to reproduce
the results presented in the paper:
Paper title: Digital government and corporate investment: Effects and mechanisms
Authors: Bofan Liu, Ruifei Guo, Huaqin Shi
Journal Submission: Economic Modelling
DOI: 10.17632/9zpmt2jhr9.2
title: Digital government and corporate investment: Effects and mechanisms

description: This replication package contains all the available data, code, and instructions to reproduce
the results presented in the paper:
Paper title: Digital government and corporate investment: Effects and mechanisms
Authors: Bofan Liu, Ruifei Guo, Huaqin Shi
Journal Submission: Economic Modelling
DOI: 10.17632/9zpmt2jhr9.3
title: Digital government and corporate investment: Effects and mechanisms

description: This replication package contains all the available data, code, and instructions to reproduce
the results presented in the paper:
Paper title: Digital government and corporate investment: Effects and mechanisms
Authors: Bofan Liu, Ruifei Guo, Huaqin Shi
Journal Submission: Economic Modelling
DOI: 10.17632/9zpmt2jhr9.4
title: Digital government and corporate investment: Effects and mechanisms

description: This replication package contains all the available data, code, and instructions to reproduce
the results presented in the paper:
Paper title: Digital government and corporate investment: Effects and mechanisms
Authors: Bofan Liu, Ruifei Guo, Huaqin Shi
Journal Submission: Economic Modelling
DOI: 10.17632/9zpmt2jhr9
title: Digital government and corporate investment: Effects and mechanisms

description: This replication package contains all the available data, code, and instructions to reproduce
the results presented in the paper:
Paper title: Digital government and corporate investment: Effects and mechanisms
Authors: Bofan Liu, Ruifei Guo, Huaqin Shi
Journal Submission: Economic Modelling
DOI: 10.17632/9zpmt2jhr9.5
title: Digital government and corporate investment: Effects and mechanisms

description: This replication package contains all the available data, code, and instructions to reproduce
the results presented in the paper:
Paper title: Digital government and corporate investment: Effects and mechanisms
Authors: Bofan Liu, Ruifei Guo, Huaqin Shi
Journal Submission: Economic Modelling
DOI: 10.15468/dl.sv7u3d
title: Occurrence Download

description: A dataset containing 9731924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acer negundo L., Acorus calamus L., Aesculus hippocastanum L., Ailanthus altissima (Mill.) Swingle, Amaranthus retroflexus L., Armoracia rusticana P.Gaertn., B.Mey. & Scherb., Avena sativa L., Berteroa incana (L.) DC., Borago officinalis L., Brassica napus L., Carduus nutans L., Centaurea scabiosa L., Claytonia perfoliata Donn., Cymbalaria muralis G.Gaertn., B.Mey. & Scherb., Datura stramonium L., Epilobium ciliatum Raf., Eragrostis minor Host, Eranthis hyemalis (L.) Salisb., Erigeron annuus (L.) Pers., Erigeron canadensis L., Euphorbia lathyris L., Fagopyrum esculentum Moench, Galinsoga parviflora Cav., Galinsoga quadriradiata Ruiz & Pav., Galium verum L., Geranium pyrenaicum Burm.f., Helianthus tuberosus L., Heracleum mantegazzianum Sommier & Levier, Hesperis matronalis L., Impatiens glandulifera Royle, Impatiens parviflora DC., Juncus tenuis Willd., Lamium galeobdolon (L.) L., Lepidium draba L., Lolium multiflorum Lam., Lunaria annua L., Lupinus polyphyllus Lindl., Lysimachia punctata L., Mahonia aquifolium (Pursh) Nutt., Malus domestica (Suckow) Borkh., Matricaria discoidea DC., Medicago ×varia Martyn, Medicago sativa L., Melissa officinalis L., Onobrychis viciifolia Scop., Origanum vulgare L., Oxalis stricta L., Pastinaca sativa L., Phacelia tanacetifolia Benth., Populus ×canadensis Moench, Prunus cerasifera Ehrh., Prunus domestica L., Prunus laurocerasus L., Prunus serotina Ehrh., Pseudotsuga menziesii (Mirb.) Franco, Pyrus communis L., Quercus rubra L., Reynoutria japonica Houtt., Robinia pseudoacacia L., Rosa rugosa Thunb.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON (( -30 25 , 40 25 , 40 78 , -30 78 , -30 25 ))"
 ]
}

 The dataset includes 9731924 records from 5658 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021841-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/dp/21970930
title: Global ShakeMovie synthetic for June 09, 2024 MW 5.7 SOLOMON ISLANDS
DOI: 10.17611/dp/21971690
title: Global ShakeMovie synthetic for June 12, 2024 MW 5.6 NORTHERN EAST PACIFIC RISE
DOI: 10.17611/dp/21972626
title: Global ShakeMovie synthetic for June 12, 2024 MW 5.7 TALAUD ISLANDS, INDONESIA
DOI: 10.15468/dl.bxuexj
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-108.31308 31.69773,-108.31308 31.25068,-108.13426 29.19423,-103.21668 25.43899,-98.74615 19.6273,-100.26613 18.82261,-99.01438 16.58734,-96.24265 15.24618,-95.08032 16.05088,-95.25914 18.82261,-97.13676 20.61082,-99.46144 26.60133,-103.57432 29.64129,-105.98841 32.32361,-108.31308 31.69773))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Papilio cresphontes",
 "Year 2000-2025"
 ]
}

 The dataset includes 222 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027491-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/dp/21974792
title: Global ShakeMovie synthetic for June 14, 2024 MW 5.9 SOUTHERN MID-ATLANTIC RIDGE
DOI: 10.17611/dp/21976302
title: Global ShakeMovie synthetic for June 15, 2024 MW 5.6 MID-INDIAN RIDGE
DOI: 10.17611/dp/21976306
title: Global ShakeMovie synthetic for June 16, 2024 MW 6.0 BALLENY ISLANDS REGION
DOI: 10.17611/dp/21976310
title: Global ShakeMovie synthetic for June 16, 2024 MW 6.0 NEAR COAST OF PERU
DOI: 10.17611/dp/21977058
title: Global ShakeMovie synthetic for June 17, 2024 MW 5.6 SANTA CRUZ ISLANDS
DOI: 10.17611/dp/21977062
title: Global ShakeMovie synthetic for June 18, 2024 MW 5.8 TONGA ISLANDS
DOI: 10.17611/dp/21977810
title: Global ShakeMovie synthetic for June 19, 2024 MW 5.4 SOUTH SANDWICH ISLANDS REGION
DOI: 10.17611/dp/21980339
title: Global ShakeMovie synthetic for June 21, 2024 MW 5.6 CENTRAL MID-ATLANTIC RIDGE
DOI: 10.17611/dp/21981093
title: Global ShakeMovie synthetic for June 23, 2024 MW 6.0 NEAR COAST OF VENEZUELA
DOI: 10.17611/dp/21981841
title: Global ShakeMovie synthetic for June 14, 2024 MW 5.9 SOUTHERN MID-ATLANTIC RIDGE
DOI: 10.17611/dp/21981845
title: Global ShakeMovie synthetic for June 15, 2024 MW 5.6 TALAUD ISLANDS, INDONESIA
DOI: 10.17611/dp/21981849
title: Global ShakeMovie synthetic for June 18, 2024 MW 5.5 NORTHERN PERU
DOI: 10.17611/dp/21981853
title: Global ShakeMovie synthetic for June 24, 2024 MW 6.4 VANUATU ISLANDS
DOI: 10.17611/dp/21981857
title: Global ShakeMovie synthetic for June 24, 2024 MW 5.5 TANIMBAR ISLANDS REG., INDONESIA
DOI: 10.17611/dp/21998427
title: Global ShakeMovie synthetic for June 29, 2024 MW 5.6 BOUVET ISLAND REGION
DOI: 10.17611/dp/22000892
title: Global ShakeMovie synthetic for June 26, 2024 MW 5.7 NICOBAR ISLANDS, INDIA REGION
DOI: 10.17611/dp/22000896
title: Global ShakeMovie synthetic for June 27, 2024 MW 5.4 MID-INDIAN RIDGE
DOI: 10.17611/dp/22000900
title: Global ShakeMovie synthetic for June 27, 2024 MW 5.9 SOUTH OF KERMADEC ISLANDS
DOI: 10.17611/dp/22000904
title: Global ShakeMovie synthetic for June 28, 2024 MW 7.1 NEAR COAST OF PERU
DOI: 10.17611/dp/22000908
title: Global ShakeMovie synthetic for June 28, 2024 MW 5.8 TONGA ISLANDS
DOI: 10.17611/dp/22000912
title: Global ShakeMovie synthetic for June 29, 2024 MW 6.1 NEAR COAST OF PERU
DOI: 10.17611/dp/22078142
title: Global ShakeMovie synthetic for July 08, 2021 MW 5.9 CALIFORNIA-NEVADA BORDER REGION
DOI: 10.17611/dp/22078181
title: Global ShakeMovie synthetic for August 04, 2016 MW 6.3 VOLCANO ISLANDS, JAPAN REGION