cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/5ntpx-can35
title: H. pylori

description: YWC265
description: <strong>Tilt Series Date:</strong> 2018-06-04</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Helicobacter pylori</p>
<strong>Strain:</strong> 26695</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 180.0 eV/Å²,  defocus: -6.0 μm,  magnification: 33000x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2018-06-04-24/rawdata/</p>squares2-6_tilt15.mrc,  Tilt Series (Pixel Size 0.4319 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2018-06-04-24/rawdata/squares2-6_tilt15.mrc"
        > <i class="download icon"></i> Download </a></p>

        squares2-6_tilt15_full.rec,  Reconstruction (Pixel Size 1.7276 nm), 534.5 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2018-06-04-24/3dimage_92729/squares2-6_tilt15_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.2xsfe2
title: Occurrence Download

description: A dataset containing 5102480 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sorghum drummondii, Sorghum halepense, Spartina anglica, Spartina densiflora, Spartium junceum, Spathodea campanulata, Spathoglottis plicata, Spergula arvensis, Spergularia rubra, Spermacoce alata, Spermacoce, Spermacoce confusa, Spermacoce exilis, Rubiaceae, Spermacoce ocymoides, Spermacoce ovalifolia, Spermacoce pusilla, Spermacoce remota, Spermacoce verticillata, Sphaerophysa salsula)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 5102480 records from 5637 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001833-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ybrhup
title: Occurrence Download

description: A dataset containing 596 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micralestes acutidens (Peters, 1852)",
 "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 ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 596 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022743-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwjkpk
title: Occurrence Download

description: A dataset containing 973964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pycnonotus goiavier (Scopoli, 1786), Pycnonotus jocosus (Linnaeus, 1758), Pycnonotus leucogenys (J.E.Gray, 1835), Pycnonotus sinensis (Gmelin, 1789), Pycnonotus taivanus Styan, 1893, Pycnonotus xanthorrhous Anderson, 1869, Pycnonotus flaviventris (Tickell, 1833), Spizixos canifrons Blyth, 1845, Spizixos semitorques Swinhoe, 1861, Regulus goodfellowi Ogilvie-Grant, 1906)",
 "Geometry POLYGON((73.5208333 16.6625,135.0791667 16.6625,135.0791667 53.5541667,73.5208333 53.5541667,73.5208333 16.6625))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)"
 ]
}

 The dataset includes 973964 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021485-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tnhxv5
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ecuador, Colombia, Bolivia (Plurinational State of), Peru)",
 "TaxonKey is Tournefortia undulata Ruiz & Pav."
 ]
}

 The dataset includes 32 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022561-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15602108
title: Metabolomics data of E.coli K12.

description: untargeted metabolomics data of E.coli K12
DOI: 10.5281/zenodo.15602109
title: Metabolomics data of E.coli K12.

description: untargeted metabolomics data of E.coli K12
DOI: 10.15468/dl.wccpuu
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Venezuela (Bolivarian Republic of)",
 "TaxonKey is Palaemon mercedae (Pereira S., 1986)"
 ]
}

 The dataset includes 22 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022559-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kgxmv4
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aphelandra pepe-parodii Wassh."
 ]
}

 The dataset includes 25 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022560-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23728/b2share.53d7cf21b44d46bf975baf4194ff7fe3
title: Supplementary Material for "Advancing AI Adoption in SMEs: A Framework for Nascent AI Strategy Development"

description: Supplementary Material for the article:

Markic, Mihael; Webster, Samantha; van der Staay, Alexander; Bäßmann, Felix N.; Janiesch, Christian; and Pöppelbuß, Jens, "Advancing AI Adoption in SMEs: A Framework for Nascent AI Strategy Development" (2025). ICIS 2025 Proceedings.

Abstract: "AI adoption serves as a catalyst that empowers SMEs to overcome resource, expertise, and market competition constraints, unlocking new business operations opportunities. However, developing a tailored AI strategy is essential to capture unique business advantages offered by AI-driven business processes and to advance AI initiatives in the dynamic landscape of SMEs. While much research addresses the technical aspects, development, and adoption, little is known about strategic measures and the practical evaluation of AI adoption in SMEs. In this design science research study, we crafted an artifact consisting of a methodology for capturing AI readiness and deriving activities and, thus, develop a strategic framework for developing nascent AI strategies in SMEs. Our results highlight the importance of structured AI training, centralized data management, and cross-functional collaboration to advance AI adoption in SMEs. Our study contributes to theory and practice by providing guidance for AI strategy development."
DOI: 10.15468/dl.bvmvgb
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Locality is one of (Cordemais, Cordemais (Loire-Atlantique), Cordemais, centre-bourg)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000151-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16963607
title: Dataset for Categorical Symmetries in Spin Models with Atom Arrays

description: This is the dataset for Fig. 2 and Fig. 3 of the PRL paper "Categorical symmetries in spin models with atom arrays" DOI: https://doi.org/10.1103/249m-m8wqDescription:

data_Fig2a: 2 × 453 array: the first and the second row store the data for the x- and y-axis, respectively.

data_Fig2b: 2 × 453 array: the first and the second row store the data for the x- and y-axis, respectively.

data_Fig2c: 3 × 20 array: 1-3 row store the data for trotter steps, diabatic errors, and trotter errors, respectively.

data_Fig2d: 3 × 22 array: 1-3 row store the data for trotter steps, diabatic errors, and trotter errors, respectively.

data_Fig3: three lists: the first stores the data for the x-axis, the second and third store the data for the y-axis in Fig. 3(a) and Fig. 3(b), respectively.
DOI: 10.5281/zenodo.16963608
title: Dataset for Categorical Symmetries in Spin Models with Atom Arrays

description: This is the dataset for Fig. 2 and Fig. 3 of the PRL paper "Categorical symmetries in spin models with atom arrays" DOI: https://doi.org/10.1103/249m-m8wqDescription:

data_Fig2a: 2 × 453 array: the first and the second row store the data for the x- and y-axis, respectively.

data_Fig2b: 2 × 453 array: the first and the second row store the data for the x- and y-axis, respectively.

data_Fig2c: 3 × 20 array: 1-3 row store the data for trotter steps, diabatic errors, and trotter errors, respectively.

data_Fig2d: 3 × 22 array: 1-3 row store the data for trotter steps, diabatic errors, and trotter errors, respectively.

data_Fig3: three lists: the first stores the data for the x-axis, the second and third store the data for the y-axis in Fig. 3(a) and Fig. 3(b), respectively.
DOI: 10.15468/dl.g528kf
title: Occurrence Download

description: A dataset containing 4582 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Loligo vulgaris"
 ]
}

 The dataset includes 4582 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000148-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/dp/18001517
title: Moment Tensor for May 19, 2019 MW 6.4 (GCMT) SOUTHEAST OF LOYALTY ISLANDS
DOI: 10.15468/dl.jvnpzf
title: Occurrence Download

description: A dataset containing 1073 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Insect (Coleoptera) Biodiversity Across Forest Canopy and Understorey in SE-Asia BIFA5_026"
 ]
}

 The dataset includes 1073 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004000-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/dp/18001523
title: Moment Tensor for May 19, 2019 MW 6.1 (GCMT) SOUTHEAST OF LOYALTY ISLANDS
DOI: 10.15468/dl.9pxd58
title: Occurrence Download

description: A dataset containing 490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-7.63156 38.62898,-8.25766 36.69794,-6.91911 35.98494,-5.51578 36.43784,-4.34994 37.50721,-5.32147 38.9655,-7.63156 38.62898))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Herpestes ichneumon",
 "Year 2020-2024"
 ]
}

 The dataset includes 490 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004001-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/dp/18001529
title: Moment Tensor for May 19, 2019 MW 6.4 (GCMT) SOUTHEAST OF LOYALTY ISLANDS
DOI: 10.17611/dp/18001535
title: Moment Tensor for May 20, 2019 MW 5.6 (GCMT) CHILE-ARGENTINA BORDER REGION
DOI: 10.17611/dp/18001541
title: Moment Tensor for May 21, 2019 MW 5.3 (GCMT) OFF COAST OF ECUADOR
DOI: 10.17611/dp/18001547
title: Moment Tensor for May 22, 2019 MW 5.7 (GCMT) ANDAMAN ISLANDS, INDIA REGION
DOI: 10.17611/dp/18001553
title: Moment Tensor for May 23, 2019 MW 6.0 (GCMT) ANDREANOF ISLANDS, ALEUTIAN IS.
DOI: 10.17611/dp/18001559
title: Moment Tensor for May 23, 2019 MW 5.7 (GCMT) SOUTHEAST OF LOYALTY ISLANDS
DOI: 10.17611/dp/18001565
title: Moment Tensor for May 25, 2019 MW 5.8 (GCMT) VANUATU ISLANDS
DOI: 10.17611/dp/18001571
title: Moment Tensor for May 26, 2019 MW 8.0 (GCMT) NORTHERN PERU
DOI: 10.17611/dp/18001577
title: Moment Tensor for May 27, 2019 MW 5.6 (GCMT) SOLOMON ISLANDS
DOI: 10.17611/dp/18001583
title: Moment Tensor for May 27, 2019 MW 5.9 (GCMT) KODIAK ISLAND REGION, ALASKA
DOI: 10.17611/dp/18001589
title: Moment Tensor for May 27, 2019 MW 5.8 (GCMT) SOUTH SANDWICH ISLANDS REGION
DOI: 10.17611/dp/18001595
title: Moment Tensor for May 30, 2019 MW 6.6 (GCMT) EL SALVADOR
DOI: 10.17611/dp/18001601
title: Moment Tensor for May 30, 2019 MW 6.0 (GCMT) FIJI ISLANDS REGION
DOI: 10.17611/dp/18001607
title: Moment Tensor for June 13, 2019 MW 5.8 (GCMT) SOUTHERN MID-ATLANTIC RIDGE
DOI: 10.17611/dp/18001613
title: Moment Tensor for June 14, 2019 MW 6.3 (GCMT) OFF COAST OF CENTRAL CHILE
DOI: 10.17611/dp/18001619
title: Moment Tensor for June 14, 2019 MW 5.7 (GCMT) BANDA SEA
DOI: 10.17611/dp/18001625
title: Moment Tensor for June 15, 2019 MW 6.1 (GCMT) TONGA ISLANDS
DOI: 10.17611/dp/18001631
title: Moment Tensor for June 15, 2019 MW 7.3 (GCMT) KERMADEC ISLANDS, NEW ZEALAND
DOI: 10.17611/dp/18001637
title: Moment Tensor for June 16, 2019 MW 6.3 (GCMT) KERMADEC ISLANDS REGION
DOI: 10.17611/dp/18001643
title: Moment Tensor for June 16, 2019 MW 5.5 (GCMT) KERMADEC ISLANDS REGION
DOI: 10.15468/dl.gkxksq
title: Occurrence Download

description: A dataset containing 630 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Necrobia rufipes",
 "Year 1970-2025"
 ]
}

 The dataset includes 630 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004002-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/dp/18001649
title: Moment Tensor for June 17, 2019 MW 5.5 (GCMT) FLORES REGION, INDONESIA
DOI: 10.17611/dp/18001655
title: Moment Tensor for June 17, 2019 MW 6.1 (GCMT) KERMADEC ISLANDS, NEW ZEALAND
DOI: 10.17611/dp/18001661
title: Moment Tensor for June 17, 2019 MW 5.7 (GCMT) PACIFIC-ANTARCTIC RIDGE
DOI: 10.17611/dp/18001667
title: Moment Tensor for June 17, 2019 MW 5.7 (GCMT) SICHUAN, CHINA
DOI: 10.17611/dp/18001673
title: Moment Tensor for June 17, 2019 MW 5.6 (GCMT) KERMADEC ISLANDS, NEW ZEALAND
DOI: 10.17611/dp/18001679
title: Moment Tensor for June 17, 2019 MW 5.6 (GCMT) CENTRAL MID-ATLANTIC RIDGE
DOI: 10.17611/dp/18001685
title: Moment Tensor for June 18, 2019 MW 6.5 (GCMT) NEAR WEST COAST OF HONSHU, JAPAN
DOI: 10.17611/dp/18001691
title: Moment Tensor for June 18, 2019 MW 6.0 (GCMT) KERMADEC ISLANDS REGION
DOI: 10.17611/dp/18001697
title: Moment Tensor for June 18, 2019 MW 5.5 (GCMT) KERMADEC ISLANDS REGION
DOI: 10.17611/dp/18001703
title: Moment Tensor for June 19, 2019 MW 6.5 (GCMT) KERMADEC ISLANDS, NEW ZEALAND
DOI: 10.17611/dp/18001709
title: Moment Tensor for June 19, 2019 MW 6.3 (GCMT) IRIAN JAYA, INDONESIA
DOI: 10.17611/dp/18001715
title: Moment Tensor for June 19, 2019 MW 5.8 (GCMT) SANTA CRUZ ISLANDS
DOI: 10.17611/dp/18001721
title: Moment Tensor for June 20, 2019 MW 5.5 (GCMT) MENDOZA PROVINCE, ARGENTINA
DOI: 10.17611/dp/18001727
title: Moment Tensor for June 20, 2019 MW 5.4 (GCMT) TONGA ISLANDS
DOI: 10.17611/dp/18001733
title: Moment Tensor for June 21, 2019 MW 6.3 (GCMT) KERMADEC ISLANDS, NEW ZEALAND
DOI: 10.17611/dp/18001739
title: Moment Tensor for June 22, 2019 MW 5.6 (GCMT) NEAR COAST OF CHIAPAS, MEXICO
DOI: 10.17611/dp/18001745
title: Moment Tensor for June 23, 2019 MW 5.7 (GCMT) NEAR COAST OF NORTHERN CALIF.
DOI: 10.17611/dp/18001751
title: Moment Tensor for June 24, 2019 MW 6.1 (GCMT) IRIAN JAYA, INDONESIA
DOI: 10.17611/dp/18001757
title: Moment Tensor for June 24, 2019 MW 7.3 (GCMT) BANDA SEA
DOI: 10.17611/dp/18001763
title: Moment Tensor for June 24, 2019 MW 6.0 (GCMT) KERMADEC ISLANDS REGION
DOI: 10.17611/dp/18001769
title: Moment Tensor for July 05, 2019 MW 5.6 (GCMT) QUEEN CHARLOTTE ISLANDS REGION
DOI: 10.17611/dp/18001775
title: Moment Tensor for July 06, 2019 MW 7.0 (GCMT) CENTRAL CALIFORNIA
DOI: 10.17611/dp/18001781
title: Moment Tensor for July 06, 2019 MW 5.7 (GCMT) SOLOMON ISLANDS
DOI: 10.17611/dp/18001787
title: Moment Tensor for July 06, 2019 MW 5.6 (GCMT) SOUTHEAST OF LOYALTY ISLANDS
DOI: 10.17611/dp/18001793
title: Moment Tensor for July 07, 2019 MW 6.9 (GCMT) NORTHERN MOLUCCA SEA
DOI: 10.17611/dp/18001799
title: Moment Tensor for July 08, 2019 MW 5.7 (GCMT) NORTHERN MOLUCCA SEA
DOI: 10.17611/dp/18001805
title: Moment Tensor for July 08, 2019 MW 5.3 (GCMT) IRIAN JAYA, INDONESIA
DOI: 10.17611/dp/18001811
title: Moment Tensor for July 08, 2019 MW 5.8 (GCMT) WESTERN IRAN
DOI: 10.17611/dp/18001817
title: Moment Tensor for July 08, 2019 MW 5.9 (GCMT) NORTHERN MOLUCCA SEA
DOI: 10.17611/dp/18001823
title: Moment Tensor for July 09, 2019 MW 5.6 (GCMT) MINDANAO, PHILIPPINES
DOI: 10.17611/dp/18001829
title: Moment Tensor for July 10, 2019 MW 5.4 (GCMT) PACIFIC-ANTARCTIC RIDGE
DOI: 10.5281/zenodo.15008460
title: Models and predictions for "How to deal w___ missing input data"

description: How to deal w___ missing input data

This repository contains the models, configs, and results files for the paper Gauch et al., "How to deal w___ missing input data".

The corresponding analysis code is available on GitHub: https://github.com/gauchm/missing-inputs.

This zenodo archive provides two identical download options: a zip file and a tar.xz file. Both contain the same contents. Some people expressed problems with extracting the zip file, which is why we also provide a tar.xz file.

Contents of this repository



missing-inputs.ipynb -- Jupyter notebook to reproduce figures from the paper.

results/ -- Folder with model weights, configs, and predictions used in missing-inputs.ipynb.

patches/ -- Contains patches for local modifications to reproduce experiments from the paper.


Required setup



Clone neuralhydrology: git clone https://github.com/neuralhydrology/neuralhydrology.git.

Install an editable version of neuralhydrology: cd neuralhydrology && pip install -e ..

Download the following data:



the CAMELS US dataset (CAMELS time series meteorology, observed flow, meta data, version 1.2) from NCAR into some data directory (has to match data_dir in the config files).

the extended Maurer and NLDAS forcings set available on HydroShare: Maurer, NLDAS.

the models, results, and config files from this paper avaliable on this Zenodo repository.



Note that to reproduce the experiments, local modifications to NeuralHydrology are necessary. To do so, apply the patches in the patches/ directory: git apply patches/experiment-N.patch.
DOI: 10.5281/zenodo.16983185
title: Models and predictions for "How to deal w___ missing input data"

description: How to deal w___ missing input data

This repository contains the models, configs, and results files for the paper Gauch et al., "How to deal w___ missing input data".

The corresponding analysis code is available on GitHub: https://github.com/gauchm/missing-inputs.

This zenodo archive provides two identical download options: a zip file and a tar.xz file. Both contain the same contents. Some people expressed problems with extracting the zip file, which is why we also provide a tar.xz file.

Contents of this repository



missing-inputs.ipynb -- Jupyter notebook to reproduce figures from the paper.

results/ -- Folder with model weights, configs, and predictions used in missing-inputs.ipynb.

patches/ -- Contains patches for local modifications to reproduce experiments from the paper.


Required setup



Clone neuralhydrology: git clone https://github.com/neuralhydrology/neuralhydrology.git.

Install an editable version of neuralhydrology: cd neuralhydrology && pip install -e ..

Download the following data:



the CAMELS US dataset (CAMELS time series meteorology, observed flow, meta data, version 1.2) from NCAR into some data directory (has to match data_dir in the config files).

the extended Maurer and NLDAS forcings set available on HydroShare: Maurer, NLDAS.

the models, results, and config files from this paper avaliable on this Zenodo repository.



Note that to reproduce the experiments, local modifications to NeuralHydrology are necessary. To do so, apply the patches in the patches/ directory: git apply patches/experiment-N.patch.
DOI: 10.17611/dp/18001835
title: Moment Tensor for July 11, 2019 MW 6.0 (GCMT) SOLOMON ISLANDS
DOI: 10.17611/dp/18001841
title: Moment Tensor for July 12, 2019 MW 5.8 (GCMT) MINDANAO, PHILIPPINES
DOI: 10.15468/dl.mzunzr
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-7.49409 39.18272,-8.66733 37.37156,-7.14212 36.11811,-5.22584 36.18127,-3.58331 37.18485,-4.32636 39.2736,-7.49409 39.18272))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lynx pardinus",
 "Year 2020-2024"
 ]
}

 The dataset includes 135 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004003-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/dp/18001847
title: Moment Tensor for July 13, 2019 MW 6.1 (GCMT) NORTHWEST OF RYUKYU ISLANDS
DOI: 10.17611/dp/18001853
title: Moment Tensor for July 13, 2019 MW 5.7 (GCMT) SOUTHERN EAST PACIFIC RISE
DOI: 10.17611/dp/18001859
title: Moment Tensor for July 14, 2019 MW 6.7 (GCMT) WESTERN AUSTRALIA
DOI: 10.17611/dp/18001865
title: Moment Tensor for July 14, 2019 MW 7.2 (GCMT) HALMAHERA, INDONESIA
DOI: 10.17611/dp/18001871
title: Moment Tensor for July 14, 2019 MW 5.1 (GCMT) WESTERN AUSTRALIA
DOI: 10.17611/dp/18001877
title: Moment Tensor for July 15, 2019 MW 6.3 (GCMT) NEW BRITAIN REGION, P.N.G.
DOI: 10.17611/dp/18001883
title: Moment Tensor for July 16, 2019 MW 5.8 (GCMT) SOUTH OF BALI, INDONESIA
DOI: 10.17611/dp/18001889
title: Moment Tensor for July 16, 2019 MW 5.6 (GCMT) SOUTH OF MARIANA ISLANDS
DOI: 10.17611/dp/18001895
title: Moment Tensor for July 17, 2019 MW 5.6 (GCMT) FIJI ISLANDS REGION
DOI: 10.17611/dp/18001901
title: Moment Tensor for July 17, 2019 MW 5.6 (GCMT) FIJI ISLANDS REGION
DOI: 10.17611/dp/18001907
title: Moment Tensor for July 19, 2019 MW 5.5 (GCMT) NORTHEASTERN INDIA
DOI: 10.17611/dp/18001913
title: Moment Tensor for July 20, 2019 MW 5.7 (GCMT) NEW BRITAIN REGION, P.N.G.
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title: Moment Tensor for July 21, 2019 MW 5.4 (GCMT) SOUTH OF MARIANA ISLANDS
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title: Moment Tensor for July 21, 2019 MW 5.6 (GCMT) SOUTH OF MARIANA ISLANDS
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title: Moment Tensor for July 22, 2019 MW 5.5 (GCMT) SERAM, INDONESIA
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title: Moment Tensor for July 23, 2019 MW 5.6 (GCMT) SOUTH OF KERMADEC ISLANDS
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title: Moment Tensor for July 26, 2019 MW 6.0 (GCMT) PHILIPPINE ISLANDS REGION
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title: Moment Tensor for July 27, 2019 MW 5.7 (GCMT) PHILIPPINE ISLANDS REGION