cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20481123.v4
title: Data from "Learning a Hand Model from Dynamic Movements using High-density EMG and Convolutional Neural Networks"

description: FormatThis dataset contains the ground truths and predictions of all deep learning models from Sîmpetru et al (<sub>https://doi.org/10.1101/2022.07.29.502064</sub>).Fig. 2-4The data is formatted as follows:The data used for <i>Fig. 2</i> is stored under <b>3D_points_{random, testset}</b> depending on whether the AI was tested with the random or the test set.The data used for <i>Fig. 3</i> is stored under <b>angle_{random, test set}</b> depending on whether the AI was tested with the random or the test set.The data used for <i>Fig. 4</i> is stored under <b>force</b>.Each of these folders contains the predicted and expected data for each of the 13 subjects stored as <b>Subject{1, ..., 13}_{predicted, expected}.pkl</b>.Fig. 5The data for Fig. 5 is stored under <b>comparison</b>.<br>To distinguish between the EMG forms used, we use: <br>5 Hz low-pass filtered as <b>3D_points_5</b>5 Hz low-pass filtered and rectified as <b>3D_points_5_rectified</b>20 Hz low-pass filtered as <b>3D_points_20</b>20 Hz low-pass filtered and rectified as <b>3D_points_20_rectified</b>raw as <b>3D_points_raw</b>raw and rectified as <b>3D_points_raw_rectified</b>raw and 20 Hz low-pass filtered combined as <b>3D_points_raw20</b><br>Each of these folders contains the predicted and expected data for each of the 4 subjects, stored as <b>Subject{1, ..., 4}_{predicted, expected}.pkl</b>.<br>General file formatThe saved <b>.pkl</b> files are tables where the columns represent the joint labels (<i>Fig. 1B</i>) and the rows represent the bin number.<br>Each cell of the table contains a series of 3 values representing the x, y and z coordinates of the respective joint label at a given time.<br><br>LoadingThe stored files are <i>pandas</i> (high-level python library for tables manipulation) dataframes stored using <i>pickle</i> (python object serialisation library).<br><br>To read such a file, we give the following minimal example:<br><br>import pandas as pd<br><br>dataframe = pd.read_pickle("PATH_TO_FILE.pkl")<br><br># display head (top 5 rows) of the dataframe<br>print(dataframe.head())<br>
DOI: 10.6084/m9.figshare.28716422.v1
title: TnBarSeq screen for plant association genes.

description: The files report a TnBarSeq screen for bacterial traits required for full colonization of the shoots or roots of two distantly related plant host species: <i>Arabidopsis thaliana </i>Col-0 and <i>Brachypodium distacyon </i>BD21.The metadata file describes the samples.<br>The bacteria-specific files report, for each gene, the weighted average log2 ratio between the abundance of mutant in the gene at the sample vs. a control.
DOI: 10.6084/m9.figshare.13514963.v1
title: Merged

description: Merged scRNA-seq data of all 4 CE patients.
DOI: 10.6084/m9.figshare.20152784.v1
title: Raw Xrd data of as extracted cellulose

description: Raw XRD data of as extracted cellulose used in <strong>Nanofibrillated cellulose aerogel from Khat (</strong><em><strong>Catha Edulis</strong></em><strong>) waste: fabrication and characterizations</strong>
DOI: 10.6084/m9.figshare.12593396.v1
title: dataset C21.xlsx

description: surface TRKBpTRKBcontextual fear conditioningelevated plus maze
DOI: 10.6084/m9.figshare.13270307.v1
title: Mobility Index

description: There are 9 fields:<b>region</b>, <i>string</i>, is the name of the region of Chile<b>rid</b>, <i>int</i>, is the number id of the region of Chile (1 of 16)<b>comuna</b>, <i>string</i>, is the name of the comuna of Chile<b>cid</b>, <i>int</i>, is the number id of the region of Chile (1 of 16)<b>area</b>, <i>float</i>, the area of the comuna,<b>IM_interno</b>, <i>float</i>, number of internal (intra comuna) trips by population,<b>IM_externo</b>, <i>float</i>, number of external (inter comuna) trips by population<b>IM</b>, sum of <b>IM_interno</b>+<b>IM_externo</b><b>date</b>, <i>datetime</i>, date of the index
DOI: 10.6084/m9.figshare.25183106.v1
title: Dataset 2.mat

description: The sets of the evolution of a sample across generations
DOI: 10.6084/m9.figshare.21312117.v1
title: Statistics for Pittman et al, Phys Rep, 2023, 11, e15849

description: Output of statistical testing from SPSS 28 for Pittman, L. A., Whittaker, P., Milne, M. L., & Chung, C. S. (2023). Collagenase treatment reduces the anisotropy of ultrasonic backscatter in rat myocardium by reducing collagen crosslinks. <i>Physiological Reports</i>, 11, e15849. https://doi.org/10.14814/phy2.15849<br>
DOI: 10.6084/m9.figshare.6741422.v12
title: COCI CSV dataset of all the citation data

description: This dataset contains all the citation data (in CSV format) included in COCI, released on 25 November 2021. In particular, each line of the CSV file defines a citation, and includes the following information:<b>[field "oci"]</b> the Open Citation Identifier (OCI) for the citation;<b>[field "citing"]</b> the DOI of the citing entity;<b>[field "cited"]</b> the DOI of the cited entity;<b>[field "creation"]</b> the creation date of the citation (i.e. the publication date of the citing entity);<b>[field "timespan"]</b> the time span of the citation (i.e. the interval between the publication date of the cited entity and the publication date of the citing entity);<b>[field "journal_sc"]</b> it records whether the citation is a journal self-citations (i.e. the citing and the cited entities are published in the same journal);<b>[field "author_sc"]</b> it records whether the citation is an author self-citation (i.e. the citing and the cited entities have at least one author in common).<br>This version of the dataset contains:<br>1,235,170,583 citations;69,897,400 bibliographic resources.The size of the zipped archive is 30.88 GB, while the size of the unzipped CSV file is 200.9 GB.<br>Additional information about COCI can be retrieved in the official webpage.<br>
DOI: 10.6084/m9.figshare.25918795.v1
title: Germline missense MSH6 VUS - 6

description: Molecular dynamics simulation of the VUS based on the ClinVar database, the simulation is up to 100 ns.
DOI: 10.6084/m9.figshare.13373750.v1
title: Gene-RD-Provenance_V2.1.txt

description: In this dataset we provide the second version of monogenic, rare diseases (OMIM identifier) with a known genetic cause (HGNC, Ensembl) supplemented with manually extracted provenance of both the disease and the discovery of the underlying genetic cause of the disease (PMID).
DOI: 10.6084/m9.figshare.14794843.v1
title: The Save Sight Keratoconus Registry – Optometry Module: an opportunity to use real-world data to advance eye care

description: There is increasing focus on the value of real-world clinical registry data in multiple medical disciplines, including ophthalmology. However, disease-focused clinical registries that engage optometrists are rare. This paper introduces the Optometry Module of the Save Sight Keratoconus Registry (SSKR) and highlights the potential advantages it can offer to optometrists for improving their quality of patient care and for engaging in research. Optometrists are primary eye care providers and have a major role in providing clinical care to people with keratoconus. The SSKR system has been developed to collects high-quality information on essential clinical parameters including patient-reported outcomes (i.e., quality of life data). The real-world data from the Optometry Module of the SSKR can be analysed to obtain insights into contemporary optometry keratoconus practice, and be used to identify opportunities for improving clinical care. Optometrists‘ engagement with the registry supports reflective clinical practice through real-time benchmarking. Optometrists can use the registry system to track patient outcomes, and it provides a framework for educating patients about their keratoconus journey. The system also captures details relating to patient adverse events, with subsequent data analysis enabling risk factors for such events to be identified. In summary, the Optometry Module of the SSKR captures real-world clinical evidence that has the potential to inform practice improvement, facilitate safety surveillance and enable outcomes research in keratoconus, all with the ultimate intent of enhancing care for people living with keratoconus.
DOI: 10.6084/m9.figshare.20126021.v1
title: LRLoop_Datasets

description: The interaction networks (ligand-receptor interactions, regulatory networks, and signaling networks, ligand-target gene relationships) used by LRLoop
DOI: 10.6084/m9.figshare.25265959.v1
title: Supplementary table 3

description: Interaction information within the primary network cluster.
DOI: 10.6084/m9.figshare.24633843.v1
title: Supplementary Table S5 (final)

description: TPM values of intact and twin blastocysts (7660 genes). The coding system of the specimens is as follows: ICSI_site of ICSI_unique embryo number followed by ’a’ or ‘b’ to specify which twin blastocyst (if no letter, then it is a blastocyst from a 2-cell embryos that was not split).
DOI: 10.6084/m9.figshare.28741247.v1
title: Meoni_et_al_2025_Supplementary_material.pdf

description: A Metabolic Profiling Approach to Characterize and Discriminate Plant-Based Beverages and Milk
DOI: 10.6084/m9.figshare.96584.v2
title: Type of Open Access Items (2012)

description: The dataset shows the document types of items indexed in the Bielefeld Academic Search Engine (BASE). The datasets are presented in csv and xslx. Based on the data a visualization was created and published in LIBREAS. Library Ideas (an Open Access e-only journal). For the citable URN of the visualization see the link.
DOI: 10.6084/m9.figshare.23099054.v2
title: IV-CV-PL-UPS-UVVIS raw data NM.7z

description: Current voltage characteristics of electron-only devices Cyclic Voltammetry data of organic compounds Photoluminescence and UV-VIS spectra UPS data of organic compounds
DOI: 10.6084/m9.figshare.4559380.v1
title: Tweet Sentiments and Stock Market: New Evidence from China

description: The data set comes from our working paper "Tweet Sentiments and Stock Market: New Evidence from China", including the stock prices, number of stock-related tweets with different emotions at different days.<br>It shows the closing price of Shanghai composite index (SHCI), volumes of Tweets with different sentiments and two indices based on the Tweets. The first column shows the time, covering the period of 2014/06/03-2014/12/31. The second column is the SHCI of each trading day. The 3rd-8th columns are the numbers of Tweets with different sentiments, including anger, joyful, disgust, fear and sadness. The 9th column is the number of Tweets with negative sentiments. The last two columns show the indices of Agreement and Bullishness.<br><br>Please cite the paper: Yingying Xu, Zhixin Liu, Jichang Zhao and Chiwei Su. Weibo sentiments and stock return: A time- frequency view. PLoS ONE 12(7): e0180723, 2017.
DOI: 10.6084/m9.figshare.24559285.v1
title: UHS parainfluenza data.xlsx

description: retrospective cohort study of patients admitted to intensive care with parainfluenza infection
DOI: 10.6084/m9.figshare.13244507.v1
title: Oxygen Toxicity and Common Uses of HBOT in Small Animal Patients: A Retrospective Analysis of 2,756 Treatment Sessions

description: Hyperbaric oxygen therapy (HBOT) is commonly utilized for various human conditions with a low incidence of major adverse effects (0.002-0.035%). Despite growing use in veterinary patients, there remains a paucity of literature describing its use and associated complications. The purpose of this study was to report clinical use of HBOT in small animals, identify the rate of major adverse events, and assess clinical improvement in a large subset of patients with intervertebral disc disease (IVDD) receiving HBOT following decompressive surgery. Electronic medical records from an academic teaching hospital were searched for small animals receiving HBOT between November 2012 and February 2020. Data extracted from the medical records included signalment, treatment indication, and adverse events. For cases with IVDD undergoing decompressive surgery, the duration of clinical signs and outcomes were also collected. Treatment sessions totaled 2,756 in 542 dogs and 24 cats. Common indications included neurologic injuries (50.4%), tissue healing (31.4%), control of oomycete infection (5.5%), neoplasia or post-radiation injury (5.4%), and various miscellaneous conditions (7.4%). Oxygen toxicity, manifesting as tremors or generalized seizures, occurred in 0.7% of treatment sessions, with increasing age (p=0.009) and female sex (p=0.008) identified as risk factors. Patients with IVDD (n=156) were younger (p=0.004) and underwent fewer treatment sessions than other indications (p=0.049). In conclusion, HBOT appeared safe across various indications, although oxygen toxicity affecting the central nervous system was higher than reports in humans. Future prospective, randomized, controlled trials should evaluate specific clinical indications and outcomes. <br>
DOI: 10.6084/m9.figshare.978904_d9
title: Atomref: Reference thermochemical energies of H, C, N, O, F atoms.

description: Atomref: Reference thermochemical energies of H, C, N, O, F atoms.
DOI: 10.6084/m9.figshare.21829779.v3
title: Incurred samples reanalysis experiment for tacrolimus determination in VAMS and whole blood samples obtained from pediatric patients after renal transplantation.

description: Following guidelines for bioanalytical validation (EMA): Incurred sample reanalysis should be done at least in the following situations: • toxicokinetic studies once per species • all pivotal bioequivalence trials • first clinical trial in subjects • first patient trial • first trial in patients with impaired hepatic and/or renal function
DOI: 10.6084/m9.figshare.28941869.v1
title: Crop diversity enhances yield resilience

description: Datasets and Scripts related to the journal article "Crop diversity enhances the resilience of crop yield to excessive rainfall" by Shuchao Ye, Weihang Liu, Bo Yi, Chaoqun Lu.
DOI: 10.6084/m9.figshare.1016971.v2
title: Age and origin of charoitite, Malyy Murun massif, Siberia, Russia

description: Сharoitite consists of gem-quality mineral charoite and subordinate quartz, aegirine, K-feldspar, tinaksite, canasite, and some other minerals. This rock type is known only from one locality in the world associated with the Early Cretaceous (131.3 ± 2.4 Ma, K–Ar age) Malyy Murun syenite massif, Siberia, Russia. Although charoitite mineralogy is well known, there is disagreement whether it reflects metasomatic or magmatic activity. In order to understand when the charoitites formed we attempted to date it by <sup>40</sup>Ar/<sup>39</sup>Ar incremental step-heating and laser ablation techniques. Our results show that the fibrous structure of water-bearing charoite does not retain radiogenic argon. Laser ablation <sup>40</sup>Ar/<sup>39</sup>Ar for K-feldspar and tinaksite from the charoitite yielded several age clusters even from the same mineral grain. The oldest cluster of 134.1 ± 2.9 Ma for the K-feldspar agrees with the age of the Malyy Murun syenites. The youngest age of 113.3 ± 3.4 Ma for charoitite K-feldspar overlaps with the youngest of published K–Ar ages (112 ± 5 Ma) for one K-feldspar sample of the Malyy Murun syenite. Tinaksite is characterized by a similar spread of ages (from 133.0 ± 3 Ma to 115.7 ± 4.3 Ma) within a single grain. We suggest that charoitites originated due to the interaction of metasomatic agents derived from the Malyy Murun magma and country rocks. Timing of magma emplacement and charoitite crystallization is reflected by the older cluster of ages, whereas the younger ages are due to a secondary process.
DOI: 10.6084/m9.figshare.5234068.v11
title: American Rivers Dam Removal Database

description: American Rivers’ Dam Removal
Database includes all dam removals in the United States (of which we have been
made aware) in which a significant portion of the dam has been removed for the
full height of the dam, such that ecological function, natural river flow and
fish passage can be restored at the site. This database is revised and updated
annually with information provided by contributors across the country. The
database may be used by anyone provided that citation is given to American
Rivers and the DOI link is included.
DOI: 10.15468/dl.m2pspu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia innesi (Fowler, 1934)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((50.4237 -16.4452,50.6026 -16.1504,44.9648 -16.1504,44.9648 -25.1504,47.5481 -25.1504,49.8976 -18.3404,50.0029 -17.5803,50.4067 -17.0878,50.4237 -16.4452))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013469-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.5331145.v3
title: Critical current characterisation of Shanghai Superconductor High Field Low Temperature 2G HTS superconducting wire

description: Detailed measurements of the critical current of a commercial 2G HTS REBCO wire as a function of temperature, magnetic field, and field angle, performed at the Robinson Research Institute of Victoria University of Wellington.
DOI: 10.6084/m9.figshare.15113211.v1
title: GWAS/GS data files

description: Filtered SNP data for four F2 families exposed to an acute low salinity challenge. <br>File used in TASSEL GWAS: FilteredSNPs.vcf <br>File used for GS analysis in BGLR: GWAS_GS_markers.vcfThe vcf file (GWAS_GS_markers.vcf) was converted to .bed format using PLINK for easier upload into BGLR: GS_markers.bed, GS_markers.fam, GS_markers.bim
DOI: 10.6084/m9.figshare.17085461.v2
title: Forecast values of wind power and the substitution benefit and its percentage of market participants.xlsx

description: This excel shows the forecast values of wind power at the<i> t<sup>th</sup></i> time and <i>i</i><sup><i>t</i>h</sup> bus and list the detail information of substitution benefit and its percentage of all participants at different times in the modified IEEE 30-bus system.
DOI: 10.6084/m9.figshare.28450991.v1
title: Crosby et al. (2025) Dataset

description: Dataset associated with Crosby et al. (2025)
DOI: 10.6084/m9.figshare.29092766.v1
title: data.xlsx

description: 土壤光谱数据和有机碳成分数据
DOI: 10.6084/m9.figshare.20152829.v1
title: XRD raw of diclofenac sodium

description: XRD raw data of diclofenac sodium <strong>used in the manuscript titled Nanofibrillated cellulose aerogel from Khat (</strong><em><strong>Catha Edulis</strong></em><strong>) waste: fabrication and characterizations</strong>
DOI: 10.15468/dl.pc9gjv
title: Occurrence Download

description: A dataset listing the 195248 species recorded in GBIF matching the query:
{
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset's 195248 records were derived from 4875 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013452-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/dp/16839516
title: Surface-Wave Radiation Patterns for November 17, 1988 MW 6.6 SAMAR, PHILIPPINES
DOI: 10.17611/dp/16839546
title: Surface-Wave Radiation Patterns for November 18, 1988 MW 6.5 NEW BRITAIN REGION, P.N.G.
DOI: 10.17611/dp/16839576
title: Surface-Wave Radiation Patterns for November 25, 1988 MW 6.2 SOUTHEAST INDIAN RIDGE
DOI: 10.17611/dp/16839606
title: Surface-Wave Radiation Patterns for November 30, 1988 MW 6.0 MYANMAR-CHINA BORDER REGION
DOI: 10.17611/dp/16839636
title: Surface-Wave Radiation Patterns for December 05, 1988 MW 6.3 SAMOA ISLANDS REGION
DOI: 10.17611/dp/16839666
title: Surface-Wave Radiation Patterns for December 16, 1988 MW 6.4 KERMADEC ISLANDS, NEW ZEALAND
DOI: 10.17611/dp/16840440
title: Surface-Wave Radiation Patterns for January 21, 1988 MW 6.1 VANUATU ISLANDS
DOI: 10.17611/dp/16840470
title: Surface-Wave Radiation Patterns for January 28, 1988 MW 6.0 MINDANAO, PHILIPPINES
DOI: 10.17611/dp/16840500
title: Surface-Wave Radiation Patterns for February 06, 1988 MW 6.2 TANIMBAR ISLANDS REG., INDONESIA
DOI: 10.17611/dp/16840530
title: Surface-Wave Radiation Patterns for February 06, 1988 MW 6.1 TONGA ISLANDS
DOI: 10.17611/dp/16840560
title: Surface-Wave Radiation Patterns for March 23, 1988 MW 6.1 NORTHERN MID-ATLANTIC RIDGE
DOI: 10.17611/dp/16840590
title: Surface-Wave Radiation Patterns for March 30, 1988 MW 6.2 OFF COAST OF NORTHERN CHILE
DOI: 10.17611/dp/16840620
title: Surface-Wave Radiation Patterns for April 02, 1988 MW 6.2 SAMOA ISLANDS REGION
DOI: 10.17611/dp/16840650
title: Surface-Wave Radiation Patterns for April 13, 1988 MW 6.2 OFF COAST OF PERU
DOI: 10.17611/dp/16840680
title: Surface-Wave Radiation Patterns for May 01, 1988 MW 6.2 SOUTH SANDWICH ISLANDS REGION
DOI: 10.17611/dp/16840710
title: Surface-Wave Radiation Patterns for May 03, 1988 MW 6.0 SOUTHEAST OF LOYALTY ISLANDS
DOI: 10.17611/dp/16840740
title: Surface-Wave Radiation Patterns for May 04, 1988 MW 6.3 MARIANA ISLANDS
DOI: 10.17611/dp/16840770
title: Surface-Wave Radiation Patterns for May 05, 1988 MW 6.1 EASTER ISLAND REGION
DOI: 10.17611/dp/16840800
title: Surface-Wave Radiation Patterns for May 16, 1988 MW 6.0 VANUATU ISLANDS
DOI: 10.17611/dp/16840830
title: Surface-Wave Radiation Patterns for May 17, 1988 MW 6.2 SANTA CRUZ ISLANDS REGION
DOI: 10.15468/dl.rsb5uw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grateloupia lanceolata",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026955-250811113504898/datasets/export for details.
DOI: 10.17611/dp/16840860
title: Surface-Wave Radiation Patterns for May 20, 1988 MW 6.0 CENTRAL MID-ATLANTIC RIDGE
DOI: 10.17611/dp/16840890
title: Surface-Wave Radiation Patterns for May 21, 1988 MW 6.1 NEAR COAST OF CENTRAL CHILE
DOI: 10.17611/dp/16840920
title: Surface-Wave Radiation Patterns for June 11, 1988 MW 6.1 TONGA ISLANDS
DOI: 10.17611/dp/16840950
title: Surface-Wave Radiation Patterns for June 28, 1988 MW 6.0 WEST OF MACQUARIE ISLAND
DOI: 10.17611/dp/16840980
title: Surface-Wave Radiation Patterns for July 02, 1988 MW 6.3 VANUATU ISLANDS
DOI: 10.17611/dp/16841010
title: Surface-Wave Radiation Patterns for July 23, 1988 MW 6.4 SOUTHEAST OF LOYALTY ISLANDS
DOI: 10.17611/dp/16841040
title: Surface-Wave Radiation Patterns for July 28, 1988 MW 6.1 JUJUY PROVINCE, ARGENTINA
DOI: 10.17611/dp/16841070
title: Surface-Wave Radiation Patterns for October 03, 1987 MW 6.1 AFGHANISTAN-TAJIKISTAN BORD REG.
DOI: 10.17611/dp/16841100
title: Surface-Wave Radiation Patterns for October 04, 1987 MW 6.1 OFF COAST OF COSTA RICA
DOI: 10.15468/dl.a6em47
title: Occurrence Download

description: A dataset containing 478 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Felis catus",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 478 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026954-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/dp/16841130
title: Surface-Wave Radiation Patterns for October 25, 1987 MW 6.2 ETHIOPIA
DOI: 10.17611/dp/16841190
title: Surface-Wave Radiation Patterns for November 14, 1987 MW 6.2 REVILLA GIGEDO ISLANDS REGION
DOI: 10.17611/dp/16841160
title: Surface-Wave Radiation Patterns for November 03, 1987 MW 6.2 TONGA ISLANDS
DOI: 10.17611/dp/16841220
title: Surface-Wave Radiation Patterns for November 24, 1987 MW 6.0 SOUTHERN CALIFORNIA