cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/gc1nb-j1237
title: JV9298

description: Legionella pneumophila JV9298 DotF-GFP DotB E191K
description: <strong>Tilt Series Date:</strong> 2020-04-23</p>
<strong>Data Taken By:</strong> Yuxi Liu</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-54.0°, 54.0°), step: 3°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -4.0 μm,  magnification: 33000x. </p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> rundir</p>
<strong>Processing Software Used:</strong> imod, tomo3d</p>
<strong>Collaborators and Roles:</strong> Sample preparation & data collection: Yuxi Liu Data processing: Phyllis Wang & Yuxi Liu</p>
<strong>Purification / Growth Conditions / Treatment:</strong> O.D. 2.5-3.0 in AYE</p>
<strong>Sample Preparation:</strong> Quantifoil R2/2 copper grid, 10nm gold, 100% humidity, 25deg C, 4uL of 2X concentrated cells Blotting: force 6, blot 3sec, wait 1sec</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2020-04-23-41/3dimage_123768/</p>JV9298_PD-1-1_55_SIRT_1k.mrc,  Reconstruction (Pixel Size 1.04 nm), 2.1 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2020-04-23-41/3dimage_123768/JV9298_PD-1-1_55_SIRT_1k.mrc"
        > <i class="download icon"></i> Download </a></p>

        JV9298_PD-1-1_55.mrc,  Tilt Series (Pixel Size 0.26 nm), 1.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2020-04-23-41/rawdata/JV9298_PD-1-1_55.mrc"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/87qa4-cmh02
title: Legionella_delta-lspHIJK

description: Legionella pneumophila Philadelphia-1_Lp02. Lacks all the T2SS minor pseudopilins.
description: <strong>Tilt Series Date:</strong> 2019-05-16</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-45.0°, 45.0°), step: 3.0°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -7.0 μm,  magnification: 42000x. </p>
<strong>Microscope:</strong> Janelia Titan</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain sent by Nicholas Cianciotto, Northwestern University. Data collected and processed by Debnath Ghosal.</p>
<strong>Sample Preparation:</strong> 6 grids were frozen for this strain (2x concentrated culture); Vitrobot (MK iv) settings: 100% humidity, 4µl sample, Blot force 6, blot time 4.5 sec. Wait time 0 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2019-05-16-72/rawdata/</p>DG7_20190516_tomo0081.mrc,  Tilt Series (Pixel Size 0.26 nm), 882.8 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2019-05-16-72/rawdata/DG7_20190516_tomo0081.mrc"
        > <i class="download icon"></i> Download </a></p>

        DG7_20190516_tomo0081_full.rec,  Reconstruction (Pixel Size 1.04 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2019-05-16-72/3dimage_102786/DG7_20190516_tomo0081_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/mvgnc-vdw20
title: JV9298

description: DotF-sfGFP DotB E191K
description: <strong>Tilt Series Date:</strong> 2019-10-14</p>
<strong>Data Taken By:</strong> Yuxi Liu</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-54.0°, 54.0°), step: 3°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -5.0 μm,  magnification: 33000x. </p>
<strong>Microscope:</strong> PNCC Krios 3</p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain from Joe Vogel</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Late exponential/Early stationary</p>
<strong>Sample Preparation:</strong> Quantifoil R2/2 copper. Vitrobot 22 deg C, 100% humidity, 4uL of 2X concentrated culture, blot force 6, blot time 3 sec, drain time 1 sec, wait time 0 sec.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2019-10-14-146/rawdata/</p>JV9298_32_B3.mrc,  Tilt Series (Pixel Size 0.1323 nm), 14.0 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2019-10-14-146/rawdata/JV9298_32_B3.mrc"
        > <i class="download icon"></i> Download </a></p>

        JV9298_32_B3_full.rec,  Reconstruction (Pixel Size 1.0584 nm), 737.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2019-10-14-146/3dimage_109754/JV9298_32_B3_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.25403/upresearchdata.29922113
title: The use of artificial defoliation to evaluate the impact of defoliation on young Eucalyptus dunnii in the Midlands region of KwaZulu-Natal, South Africa

description: This study used artificial defoliation to evaluate the impact of defoliation on young E. dunnii in the Midlands region of KwaZulu-Natal, South Africa. Juvenile foliage was manually removed at three severity levels (20%, 50%, 90%) and four seasonal timing combinations. Results indicated that 50% and 90% defoliation significantly reduced basal area and the change in tree height, mainly when defoliation occurred in both summer and winter. The findings of this novel study in South Africa suggest that defoliation greater than 50%, particularly when repeated, should be avoided in the same year to preserve growth potential. The 3-PG (Physiological Principles Predicting Growth) model, integrated with satellite-derived defoliation estimates, was used to simulate and quantify the long-term productivity losses in an 8-year-old E. dunnii trial. A modified R-based version of 3-PG (3-PG.d) accurately simulated growth in chemically protected plots but overestimated wood volume, although not significantly, in untreated, defoliated plots—likely due to limitations in remote sensing-based defoliation assessment. Sensitivity analysis confirmed that increasing defoliation intensity reduces harvest wood volume, proving that the model can be used as a defoliation risk assessment tool. Improving defoliation detection with other technologies, such as UAV-based multispectral imagery and drone imagery, could significantly enhance the model’s prediction accuracy.
DOI: 10.25403/upresearchdata.29922113.v1
title: The use of artificial defoliation to evaluate the impact of defoliation on young Eucalyptus dunnii in the Midlands region of KwaZulu-Natal, South Africa

description: This study used artificial defoliation to evaluate the impact of defoliation on young E. dunnii in the Midlands region of KwaZulu-Natal, South Africa. Juvenile foliage was manually removed at three severity levels (20%, 50%, 90%) and four seasonal timing combinations. Results indicated that 50% and 90% defoliation significantly reduced basal area and the change in tree height, mainly when defoliation occurred in both summer and winter. The findings of this novel study in South Africa suggest that defoliation greater than 50%, particularly when repeated, should be avoided in the same year to preserve growth potential. The 3-PG (Physiological Principles Predicting Growth) model, integrated with satellite-derived defoliation estimates, was used to simulate and quantify the long-term productivity losses in an 8-year-old E. dunnii trial. A modified R-based version of 3-PG (3-PG.d) accurately simulated growth in chemically protected plots but overestimated wood volume, although not significantly, in untreated, defoliated plots—likely due to limitations in remote sensing-based defoliation assessment. Sensitivity analysis confirmed that increasing defoliation intensity reduces harvest wood volume, proving that the model can be used as a defoliation risk assessment tool. Improving defoliation detection with other technologies, such as UAV-based multispectral imagery and drone imagery, could significantly enhance the model’s prediction accuracy.
DOI: 10.5281/zenodo.15240681
title: Dual single-cell and bulk RNA sequencing reveal transcriptional profiles underlying heterogenous host-parasite interactions in human peripheral blood mononuclear cells
DOI: 10.5281/zenodo.15240682
title: Dual single-cell and bulk RNA sequencing reveal transcriptional profiles underlying heterogenous host-parasite interactions in human peripheral blood mononuclear cells
DOI: 10.15468/dl.pxubrz
title: Occurrence Download

description: A dataset containing 0 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 ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022736-250525065834625/datasets/export for details.
DOI: 10.15468/dl.dnywws
title: Occurrence Download

description: A dataset containing 160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "DatasetKey is Colección Entomológica del Tecnológico de Antioquia (CETdeA) - Calliphoridae (Diptera)",
 "Geometry POLYGON((-124.39834 -30.24874,-0.60166 -30.24874,-0.60166 19.24874,-124.39834 19.24874,-124.39834 -30.24874))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 160 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022735-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6sn5a
title: Occurrence Download

description: A dataset listing the 159 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON Z((27.50571 -25.98249 0,27.506 -25.98247 0,27.50664 -25.98253 0,27.50752 -25.98249 0,27.5077 -25.98163 0,27.50782 -25.98086 0,27.50715 -25.97992 0,27.50588 -25.98002 0,27.50571 -25.98249 0))",
 "Geometry POLYGON Z((27.50692 -25.97844 0,27.50661 -25.97697 0,27.50563 -25.97692 0,27.50565 -25.97799 0,27.5057 -25.97839 0,27.50627 -25.97843 0,27.50692 -25.97844 0))",
 "Geometry POLYGON((27.4922 -25.99322,27.52453 -25.99289,27.52354 -25.96625,27.49166 -25.96657,27.4922 -25.99322))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 159 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022705-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15597423
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250605c Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250605c Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15597424
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250605c Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250605c Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.17611/dp/17638482
title: Moment Tensor for February 02, 2019 MW 4.8 (GCMT)  JAN MAYEN ISLAND REGION
DOI: 10.5281/zenodo.16983695
title: Dataset of "A Comparative Life Cycle Assessment of Disposal and Recycling Pathways for Spent Lithium-Ion Battery Electrolyte"

description: This paper describes a comparative life cycle assessment (LCA) of four end-of-life pathways for lithium-ion battery (LIB) electrolytes: incineration, chemical neutralization, vacuum pyrolysis, and distillation extraction. The study evaluates a functional unit of 100 liters of a LiPF₆ electrolyte and reveals a clear performance hierarchy based on the quality of the recovered products. Distillation extraction was the only method to yield a net environmental benefit, while incineration proved to be the most environmentally damaging option. The findings demonstrate that high-quality, closed-loop material recovery is fundamentally superior to downcycling and disposal, providing quantitative evidence to guide future policy and industry decisions toward non-destructive technologies.
DOI: 10.5281/zenodo.16983696
title: Dataset of "A Comparative Life Cycle Assessment of Disposal and Recycling Pathways for Spent Lithium-Ion Battery Electrolyte"

description: This paper describes a comparative life cycle assessment (LCA) of four end-of-life pathways for lithium-ion battery (LIB) electrolytes: incineration, chemical neutralization, vacuum pyrolysis, and distillation extraction. The study evaluates a functional unit of 100 liters of a LiPF₆ electrolyte and reveals a clear performance hierarchy based on the quality of the recovered products. Distillation extraction was the only method to yield a net environmental benefit, while incineration proved to be the most environmentally damaging option. The findings demonstrate that high-quality, closed-loop material recovery is fundamentally superior to downcycling and disposal, providing quantitative evidence to guide future policy and industry decisions toward non-destructive technologies.
DOI: 10.17611/dp/17638488
title: Moment Tensor for February 02, 2019 MW 5.4 (GCMT)  TONGA ISLANDS
DOI: 10.17611/dp/17638494
title: Moment Tensor for February 02, 2019 MW 4.9 (GCMT)  JAN MAYEN ISLAND REGION
DOI: 10.17611/dp/17638500
title: Moment Tensor for February 02, 2019 MW 5.5 (GCMT)  SOUTHERN SUMATRA, INDONESIA
DOI: 10.17611/dp/17638506
title: Moment Tensor for February 02, 2019 MW 5.0 (GCMT)  JAN MAYEN ISLAND REGION
DOI: 10.17611/dp/17638512
title: Moment Tensor for February 02, 2019 MW 5.7 (GCMT)  HINDU KUSH REGION, AFGHANISTAN
DOI: 10.17611/dp/17638518
title: Moment Tensor for February 02, 2019 MW 5.3 (GCMT)  SOUTHERN SUMATRA, INDONESIA
DOI: 10.17611/dp/17638524
title: Moment Tensor for February 02, 2019 MW 5.5 (GCMT)  WEST CHILE RISE
DOI: 10.17611/dp/17638530
title: Moment Tensor for February 03, 2019 MW 4.9 (GCMT)  NEAR COAST OF CENTRAL CHILE
DOI: 10.17611/dp/17638536
title: Moment Tensor for February 03, 2019 MW 5.1 (GCMT)  NEAR ISLANDS, ALEUTIAN ISLANDS
DOI: 10.17611/dp/17638542
title: Moment Tensor for February 03, 2019 MW 5.6 (GCMT)  SERAM, INDONESIA
DOI: 10.17611/dp/17638548
title: Moment Tensor for February 04, 2019 MW 4.9 (GCMT)  KURIL ISLANDS
DOI: 10.17611/dp/17638554
title: Moment Tensor for February 04, 2019 MW 5.1 (GCMT)  SOUTH OF TONGA ISLANDS
DOI: 10.17611/dp/17638560
title: Moment Tensor for February 04, 2019 MW 4.7 (GCMT)  NORTHERN MID-ATLANTIC RIDGE
DOI: 10.17611/dp/17638566
title: Moment Tensor for February 04, 2019 MW 5.2 (GCMT)  MONA PASSAGE
DOI: 10.17611/dp/17638572
title: Moment Tensor for February 04, 2019 MW 5.8 (GCMT)  NEAR COAST OF ECUADOR
DOI: 10.17611/dp/17638578
title: Moment Tensor for February 04, 2019 MW 5.8 (GCMT)  SOUTHERN SUMATRA, INDONESIA
DOI: 10.17611/dp/17638584
title: Moment Tensor for February 04, 2019 MW 5.0 (GCMT)  NORTHERN MID-ATLANTIC RIDGE
DOI: 10.17611/dp/17638590
title: Moment Tensor for February 05, 2019 MW 5.4 (GCMT)  GREECE
DOI: 10.17611/dp/17638596
title: Moment Tensor for February 05, 2019 MW 5.0 (GCMT)  ECUADOR
DOI: 10.17611/dp/17638602
title: Moment Tensor for February 05, 2019 MW 5.0 (GCMT)  MEXICO-GUATEMALA BORDER REGION
DOI: 10.17611/dp/17638608
title: Moment Tensor for February 05, 2019 MW 5.3 (GCMT)  NORTHWESTERN KASHMIR
DOI: 10.17611/dp/17638614
title: Moment Tensor for February 05, 2019 MW 5.2 (GCMT)  EASTERN CAUCASUS
DOI: 10.17611/dp/17638620
title: Moment Tensor for February 09, 2019 MW 5.3 (GCMT)  FIJI ISLANDS REGION
DOI: 10.17611/dp/17638626
title: Moment Tensor for February 15, 2019 MW 5.3 (GCMT)  FIJI ISLANDS REGION
DOI: 10.15468/dl.x9rme7
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Craterispermum parvifolium"
 ]
}

 The dataset includes 125 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003930-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/dp/17638632
title: Moment Tensor for February 15, 2019 MW 5.3 (GCMT)  TONGA ISLANDS
DOI: 10.17611/dp/17638638
title: Moment Tensor for February 17, 2019 MW 5.4 (GCMT)  FIJI ISLANDS REGION
DOI: 10.17611/dp/17638644
title: Moment Tensor for February 21, 2019 MW 5.5 (GCMT)  FIJI ISLANDS REGION
DOI: 10.17611/dp/17638650
title: Moment Tensor for February 27, 2019 MW 5.6 (GCMT)  SOUTH OF FIJI ISLANDS
DOI: 10.17611/dp/17638686
title: Moment Tensor for February 27, 2019 MW 5.3 (GCMT)  SOUTHERN EAST PACIFIC RISE
DOI: 10.17611/dp/17638692
title: Moment Tensor for February 27, 2019 MW 4.9 (GCMT)  IRAN-IRAQ BORDER REGION
DOI: 10.15468/dl.zyxdkd
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Korea (Democratic People’s Republic of), Japan, Korea, Republic of, Russian Federation, Mongolia)",
 "TaxonKey is Azolla cristata"
 ]
}

 The dataset includes 19 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003931-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/dp/17638698
title: Moment Tensor for February 27, 2019 MW 5.1 (GCMT)  SOUTH SANDWICH ISLANDS REGION
DOI: 10.17611/dp/17638704
title: Moment Tensor for February 27, 2019 MW 4.9 (GCMT)  WEST OF GALAPAGOS ISLANDS
DOI: 10.17611/dp/17638710
title: Moment Tensor for February 27, 2019 MW 4.8 (GCMT)  WEST OF GALAPAGOS ISLANDS
DOI: 10.17611/dp/17638716
title: Moment Tensor for February 27, 2019 MW 5.4 (GCMT)  SOUTHERN SUMATRA, INDONESIA
DOI: 10.17611/dp/17638722
title: Moment Tensor for February 28, 2019 MW 5.1 (GCMT)  MID-INDIAN RIDGE
DOI: 10.17611/dp/17638728
title: Moment Tensor for February 28, 2019 MW 4.6 (GCMT)  ICELAND REGION
DOI: 10.17611/dp/17638734
title: Moment Tensor for February 28, 2019 MW 4.9 (GCMT)  SOUTHERN SUMATRA, INDONESIA
DOI: 10.17611/dp/17638740
title: Moment Tensor for February 28, 2019 MW 4.9 (GCMT)  IONIAN SEA
DOI: 10.17611/dp/17638746
title: Moment Tensor for June 14, 2019 MW 5.7 (GCMT)  BANDA SEA
DOI: 10.17611/dp/17640027
title: Moment Tensor for June 15, 2019 MW 6.1 (GCMT)  TONGA ISLANDS
DOI: 10.17611/dp/17640063
title: Moment Tensor for June 15, 2019 MW 7.3 (GCMT)  KERMADEC ISLANDS, NEW ZEALAND
DOI: 10.17611/dp/17641344
title: Moment Tensor for June 16, 2019 MW 6.3 (GCMT)  KERMADEC ISLANDS REGION
DOI: 10.17611/dp/17641350
title: Moment Tensor for June 16, 2019 MW 5.6 (GCMT)  KERMADEC ISLANDS REGION
DOI: 10.17611/dp/17642661
title: Moment Tensor for June 17, 2019 MW 5.5 (GCMT)  FLORES REGION, INDONESIA
DOI: 10.17611/dp/17642667
title: Moment Tensor for June 17, 2019 MW 6.2 (GCMT)  KERMADEC ISLANDS, NEW ZEALAND
DOI: 10.17611/dp/17642673
title: Moment Tensor for June 17, 2019 MW 5.7 (GCMT)  PACIFIC-ANTARCTIC RIDGE
DOI: 10.17611/dp/17642679
title: Moment Tensor for June 17, 2019 MW 5.7 (GCMT)  SICHUAN, CHINA
DOI: 10.17611/dp/17642685
title: Moment Tensor for June 17, 2019 MW 5.6 (GCMT)  KERMADEC ISLANDS, NEW ZEALAND
DOI: 10.17611/dp/17642691
title: Moment Tensor for June 17, 2019 MW 5.5 (GCMT)  CENTRAL MID-ATLANTIC RIDGE
DOI: 10.17611/dp/17643597
title: Moment Tensor for June 18, 2019 MW 5.6 (GCMT)  SOUTH OF FIJI ISLANDS
DOI: 10.17611/dp/17643987
title: Moment Tensor for June 18, 2019 MW 6.5 (GCMT)  NEAR WEST COAST OF HONSHU, JAPAN
DOI: 10.17611/dp/17643993
title: Moment Tensor for June 18, 2019 MW 6.1 (GCMT)  KERMADEC ISLANDS REGION
DOI: 10.17611/dp/17643999
title: Moment Tensor for June 18, 2019 MW 5.5 (GCMT)  KERMADEC ISLANDS REGION
DOI: 10.17611/dp/17645207
title: Moment Tensor for June 19, 2019 MW 6.5 (GCMT)  KERMADEC ISLANDS, NEW ZEALAND
DOI: 10.17611/dp/17645627
title: Moment Tensor for June 19, 2019 MW 6.3 (GCMT)  IRIAN JAYA, INDONESIA
DOI: 10.17611/dp/17645633
title: Moment Tensor for June 19, 2019 MW 5.8 (GCMT)  SANTA CRUZ ISLANDS
DOI: 10.17611/dp/17646700
title: Moment Tensor for June 20, 2019 MW 5.5 (GCMT)  MENDOZA PROVINCE, ARGENTINA
DOI: 10.15468/dl.chnvcd
title: Occurrence Download

description: A dataset containing 3895 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rodentia",
 "Country is Nigeria",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3895 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003935-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17611/dp/17646706
title: Moment Tensor for June 20, 2019 MW 5.4 (GCMT)  TONGA ISLANDS
DOI: 10.17611/dp/17647903
title: Moment Tensor for June 21, 2019 MW 6.3 (GCMT)  KERMADEC ISLANDS, NEW ZEALAND
DOI: 10.17611/dp/17651530
title: Moment Tensor for June 22, 2019 MW 5.6 (GCMT)  NEAR COAST OF CHIAPAS, MEXICO
DOI: 10.17611/dp/17651536
title: Moment Tensor for June 23, 2019 MW 5.7 (GCMT)  NEAR COAST OF NORTHERN CALIF.
DOI: 10.17611/dp/17651542
title: Moment Tensor for June 24, 2019 MW 6.1 (GCMT)  IRIAN JAYA, INDONESIA
DOI: 10.17611/dp/17651592
title: Moment Tensor for June 24, 2019 MW 7.3 (GCMT)  BANDA SEA
DOI: 10.17611/dp/17651598
title: Moment Tensor for June 24, 2019 MW 6.0 (GCMT)  KERMADEC ISLANDS REGION
DOI: 10.17611/dp/17651604
title: Moment Tensor for June 24, 2019 MW 5.6 (GCMT)  SOUTH SANDWICH ISLANDS REGION
DOI: 10.5281/zenodo.16983773
title: EBSD maps of NiTi (Junfeng Xiao's PhD, SNSF project)

description: EBSD maps of NiTi in shape memory state (B19') or in superelastic state (B2).

Some maps show variant reorientation under stress in shape memory NiTi. 

Some maps show show formation of B19' laths inside B2 grains in superelastic NiTi.

Format: Oxford Intruments .h5oina or .ctf files
DOI: 10.17611/dp/17652967
title: Moment Tensor for June 25, 2019 MW 5.8 (GCMT)  SOUTHEAST INDIAN RIDGE