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

description: A dataset containing 959 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron semibarbatum Maxim."
 ]
}

 The dataset includes 959 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081466-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxyada
title: Occurrence Download

description: A dataset containing 494 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Eratigena saeva (Blackwall, 1844)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 494 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081467-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kuehpj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Egonpretneria brachychaeta Strasser, 1966",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081468-240626123714530/datasets/export for details.
DOI: 10.25810/4c3b-b819.76
title: World Newspaper Coverage of Climate Change or Global Warming, 2004-2024 - July 2024

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.15468/dl.99x3nt
title: Occurrence Download

description: A dataset containing 2886 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Eratigena duellica (Simon, 1875)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 2886 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081470-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rmyep
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Heterolatzelia nivalis Verhoeff, 1897",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081472-240626123714530/datasets/export for details.
DOI: 10.15468/dl.sxp3js
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron semnoides Tagg & Forrest"
 ]
}

 The dataset includes 28 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081473-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmdm7w
title: Occurrence Download

description: A dataset containing 89175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((101.64131 40.31307,115.61532 40.31307,115.61532 45.76815,101.64131 45.76815,101.64131 40.31307))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 89175 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081469-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/7053431
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.15151/esrf-es-1407406191
title: PROTEINS RELATED TO PATHOGENESIS OF DISEASES, VIRAL PROTEINS, CELL DIVISION, SIGNALLING AND CHROMATIN PROCESSES

description: Our BAG is composed of eight PIs at six different institutions in Italy and Austria. We focus on a large variety of human, bacterial, viral and synthetic protein targets and address diverse biological contexts by combining structural biology with biochemistry, biophysics, cellular and in vivo investigations.
DOI: 10.34740/kaggle/ds/4059540
title: Children's Book Covers with Captions
DOI: 10.6084/m9.figshare.24585597
title: CCSM3 model data

description: Twenty model years of the monthly CCSM3 model data (tropospheric U, V, T, Z, p-vertical velocity and surface trefht, precl, precc) with the form of grids for TP_Veg, TP_Soil, CTL, Asia, and Europe. Tropospheric data have 12 levels (1000 hPa, 925 hPa, 850 hPa, 700 hPa, 600 hPa, 500 hPa, 400 hPa, 300 hPa, 250 hPa, 200 hPa, 150 hPa, and 100 hPa). In the x direction: 128 points, from 0 to 360, with a resolution of 2.8125; and in the y direction: 64 points (-87.8637988392326, -85.0965269883174, -82.3129129478863, -79.5256065726594, -76.7368996803683, -73.9475151539897, -71.1577520115873, -68.3677561083132, -65.5776070108278, -62.7873517989631, -59.9970201084913, -57.2066315276432, -54.4161995260862, -51.6257336749382, -48.8352409662506, -46.0447266311017, -43.2541946653509, -40.4636481781150, -37.6730896290453, -34.8825209937735, -32.0919438817440, -29.3013596217627, -26.5107693252110, -23.7201739335347, -20.9295742544895, -18.1389709902394, -15.3483647594915, -12.5577561152307, -9.76714555919557, -6.97653355394864, -4.18592053318915, -1.39530691081950, 1.39530691081950, 4.18592053318915, 6.97653355394864, 9.76714555919557, 12.5577561152307, 15.3483647594915, 18.1389709902394, 20.9295742544895, 23.7201739335347, 26.5107693252110, 29.3013596217627, 32.0919438817440, 34.8825209937735, 37.6730896290453, 40.4636481781150, 43.2541946653509, 46.0447266311017, 48.8352409662506, 51.6257336749382, 54.4161995260862, 57.2066315276432, 59.9970201084913, 62.7873517989631, 65.5776070108278, 68.3677561083132, 71.1577520115873, 73.9475151539897, 76.7368996803683, 79.5256065726594, 82.3129129478863, 85.0965269883174, 87.8637988392326).
DOI: 10.6084/m9.figshare.24585597.v1
title: CCSM3 model data

description: Twenty model years of the monthly CCSM3 model data (tropospheric U, V, T, Z, p-vertical velocity and surface trefht, precl, precc) with the form of grids for TP_Veg, TP_Soil, CTL, Asia, and Europe. Tropospheric data have 12 levels (1000 hPa, 925 hPa, 850 hPa, 700 hPa, 600 hPa, 500 hPa, 400 hPa, 300 hPa, 250 hPa, 200 hPa, 150 hPa, and 100 hPa). In the x direction: 128 points, from 0 to 360, with a resolution of 2.8125; and in the y direction: 64 points (-87.8637988392326, -85.0965269883174, -82.3129129478863, -79.5256065726594, -76.7368996803683, -73.9475151539897, -71.1577520115873, -68.3677561083132, -65.5776070108278, -62.7873517989631, -59.9970201084913, -57.2066315276432, -54.4161995260862, -51.6257336749382, -48.8352409662506, -46.0447266311017, -43.2541946653509, -40.4636481781150, -37.6730896290453, -34.8825209937735, -32.0919438817440, -29.3013596217627, -26.5107693252110, -23.7201739335347, -20.9295742544895, -18.1389709902394, -15.3483647594915, -12.5577561152307, -9.76714555919557, -6.97653355394864, -4.18592053318915, -1.39530691081950, 1.39530691081950, 4.18592053318915, 6.97653355394864, 9.76714555919557, 12.5577561152307, 15.3483647594915, 18.1389709902394, 20.9295742544895, 23.7201739335347, 26.5107693252110, 29.3013596217627, 32.0919438817440, 34.8825209937735, 37.6730896290453, 40.4636481781150, 43.2541946653509, 46.0447266311017, 48.8352409662506, 51.6257336749382, 54.4161995260862, 57.2066315276432, 59.9970201084913, 62.7873517989631, 65.5776070108278, 68.3677561083132, 71.1577520115873, 73.9475151539897, 76.7368996803683, 79.5256065726594, 82.3129129478863, 85.0965269883174, 87.8637988392326).
DOI: 10.6084/m9.figshare.23763873.v1
title: combined_all_genotyped_KNNimp_Filtered_QC_SiteSummary

description: Genotipski podatki filtrirani na podlagi najmanjše pogostosti alela, najvišje porazdelitve heterozigotnosti, odstranitve SNP z majhno statistično verjetnostjo in odstranitve insercij in delecij. Filtriranje je bilo izvedeno v programu Tassel 5 z namemom izvedbe asociacijske študije celotnega genoma (GWAS) na podlagi različnih genotipov sort konoplje (Carmagnola selected (CS), Tiborszallasi in selekcije Finola). <br> Genotypic data filtered based on the minimum allele frequency, highest heterozygosity distribution, removal of SNPs with low statistical probability, and elimination of insertions and deletions. The filtering process was performed using Tassel 5 software with the aim of conducting a genome-wide association study (GWAS) on various genotypes of hemp varieties (Carmagnola selected (CS), Tiborszallasi, and Finola selections). <br>
DOI: 10.6084/m9.figshare.23761965.v1
title: combined_all_genotyped.vcf

description: VCF vhodna datoteka pridobljena iz sekvenčnih podatkov različnih genotipov treh sort konoplje (Carmagnola selected (CS), Tiborszallasi in selekcije Finola) narejena na podlagi postopka določanja SNP. Služi kot vhodna datoteka za asociacijske študije celotnega genoma (GWAS). <br> VCF input file obtained from sequencing data of various genotypes of three hemp varieties (Carmagnola selected (CS), Tiborszallasi, and Finola selections) generated based on the SNP calling. It serves as the input file for genome-wide association studies (GWAS).
DOI: 10.6084/m9.figshare.23765337
title: MLM_statistics_for_Fitered_QCout_Phenotypedata_vsi_PC_Fitered_QCout_1.txt

description: Podatki izvedene statistične analize linearnega mešanega modela (MLM) na podlagi genotipskih in fenotipskih podatkov treh sort konoplje (Carmagnola selected, Tiborszallasi in selekcije Finola) za izvedbo asociacijske študije celotnega genoma (GWAS). <br> The data from the conducted statistical analysis of the linear mixed model (MLM) based on genotypic and phenotypic data of three hemp varieties (Carmagnola selected, Tiborszallasi, and Finola selections) for performing a genome-wide association study (GWAS).
DOI: 10.6084/m9.figshare.23764314
title: Filtered_QCout.vcf

description: VCF datoteka filtriranih podatkov na podlagi najmanjše pogostosti alela, najvišje porazdelitve heterozigotnosti, odstranitve SNP z majhno statistično verjetnostjo in odstranitve insercij in delecij. Filtriranje je bilo izvedeno v programu Tassel 5 z namemom izvedbe asociacijske študije celotnega genoma (GWAS) na podlagi različnih genotipov sort konoplje (Carmagnola selected (CS), Tiborszallasi in selekcije Finola). <br> VCF dataset of filtered data based on the minimum allele frequency, highest heterozygosity distribution, removal of SNPs with low statistical probability, and elimination of insertions and deletions. The filtering process was performed using Tassel 5 software with the aim of conducting a genome-wide association study (GWAS) on various genotypes of hemp varieties (Carmagnola selected (CS), Tiborszallasi, and Finola selections).
DOI: 10.6084/m9.figshare.23763873
title: combined_all_genotyped_KNNimp_Filtered_QC_SiteSummary

description: Genotipski podatki filtrirani na podlagi najmanjše pogostosti alela, najvišje porazdelitve heterozigotnosti, odstranitve SNP z majhno statistično verjetnostjo in odstranitve insercij in delecij. Filtriranje je bilo izvedeno v programu Tassel 5 z namemom izvedbe asociacijske študije celotnega genoma (GWAS) na podlagi različnih genotipov sort konoplje (Carmagnola selected (CS), Tiborszallasi in selekcije Finola). <br> Genotypic data filtered based on the minimum allele frequency, highest heterozygosity distribution, removal of SNPs with low statistical probability, and elimination of insertions and deletions. The filtering process was performed using Tassel 5 software with the aim of conducting a genome-wide association study (GWAS) on various genotypes of hemp varieties (Carmagnola selected (CS), Tiborszallasi, and Finola selections). <br>
DOI: 10.6084/m9.figshare.23761965
title: combined_all_genotyped.vcf

description: VCF vhodna datoteka pridobljena iz sekvenčnih podatkov različnih genotipov treh sort konoplje (Carmagnola selected (CS), Tiborszallasi in selekcije Finola) narejena na podlagi postopka določanja SNP. Služi kot vhodna datoteka za asociacijske študije celotnega genoma (GWAS). <br> VCF input file obtained from sequencing data of various genotypes of three hemp varieties (Carmagnola selected (CS), Tiborszallasi, and Finola selections) generated based on the SNP calling. It serves as the input file for genome-wide association studies (GWAS).
DOI: 10.34740/kaggle/dsv/7053571
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.34740/kaggle/dsv/7053575
title: BBC News
DOI: 10.34740/kaggle/ds/4055538
title: ✈️ Philippine INTL Airports Departures & Arrivals
DOI: 10.5281/zenodo.10206457
title: IODP Expedition 391 Thin section images

description: Hard rock and sediment thin section images were acquired using either the JRSO-developed Petrographic Image Capture and Archival Tool (PICAT) imager or (rarely) an upright microscope and a digital camera. Sample images are acquired in unpolarized, polarized, and/or cross-polarized light. Image files are presented compressed by hole.
DOI: 10.5281/zenodo.10206456
title: IODP Expedition 391 Thin section images

description: Hard rock and sediment thin section images were acquired using either the JRSO-developed Petrographic Image Capture and Archival Tool (PICAT) imager or (rarely) an upright microscope and a digital camera. Sample images are acquired in unpolarized, polarized, and/or cross-polarized light. Image files are presented compressed by hole.
DOI: 10.5281/zenodo.10206442
title: IODP Expedition 391 Section summary

description: Report includes data for individual core sections: coring/drilling depths and recovery, database identifiers for the whole section and section halves, and number of samples taken from the section before and after splitting.
DOI: 10.5281/zenodo.10206443
title: IODP Expedition 391 Section summary

description: Report includes data for individual core sections: coring/drilling depths and recovery, database identifiers for the whole section and section halves, and number of samples taken from the section before and after splitting.
DOI: 10.34740/kaggle/dsv/7053634
title: arXiv Dataset
DOI: 10.6084/m9.figshare.24634365.v1
title: 1515data

description: reference of the image is https://figshare.com/articles/figure/Potholes_dataset_with_YOLO_annotations/21214400/3<br>
DOI: 10.34740/kaggle/ds/3373992
title: Parasitized Fruit Fly Pupae (X-ray Images)
DOI: 10.5281/zenodo.10038880
title: Dataset for the paper "A framework for robotic excavation and dry stone construction using on-site materials"

description: Stone data from the Science Robotics paper "A framework for robotic excavation and dry stone construction using on-site materials" containing:

Mesh files of 1,100 stones (quarried boulders, erratics, and concrete debris) that were digitized by the autonomous excavator HEAP

1100 Unprocessed Stone Meshes.zip: Raw mesh files directly from the poisson reconstruction of accumulated LiDAR points, containing some artifacts and floating geometries
1100 Closed Stone Meshes.zip: Clean, closed, downsampled meshes
Stone_Shape_Properties.csv: Properties file with a list of the stone IDs (IDs in the 1xxx and 3xxx range typically correspond to concrete elements) and select shape properties
A dataset of candidate placements from automatically generated stone walls.  The candidate placement data zip files contain:

Candidate_Placement_Data-npy.zip: SDF (.npy) representation of each candidate, with three channels of 32x32x32 for distances to the stone, the already-placed stones, and the target wall
Candidate_Placement_Data-pcd.zip: Point cloud (.pcd) representations of each candidate, with separate files for the placed stone, target wall (search volume), and already-placed stones (where they exist)
sdf_classifier.zip: Python examples:

Rendering the three channel SDF data to mesh geometry using marching cubes and libigl
Candidate SDF classification using the pretrained model
Candidate attributes and labels

candidate_attributes_labels.csv: CSV file containing a list of UUID's corresponding to each candidate placement in the dataset.  For each candidate, additional information is included about the dimensions and location of the solution, together with the (subjectively) hand-labelled binary value for placement viability. 
README.md: An additional readme with some details on the attributes file
If you use this data in your research, please cite the journal article.
DOI: 10.5281/zenodo.10038881
title: Dataset for the paper "A framework for robotic excavation and dry stone construction using on-site materials"

description: Stone data from the Science Robotics paper "A framework for robotic excavation and dry stone construction using on-site materials" containing:

Mesh files of 1,100 stones (quarried boulders, erratics, and concrete debris) that were digitized by the autonomous excavator HEAP

1100 Unprocessed Stone Meshes.zip: Raw mesh files directly from the poisson reconstruction of accumulated LiDAR points, containing some artifacts and floating geometries
1100 Closed Stone Meshes.zip: Clean, closed, downsampled meshes
Stone_Shape_Properties.csv: Properties file with a list of the stone IDs (IDs in the 1xxx and 3xxx range typically correspond to concrete elements) and select shape properties
A dataset of candidate placements from automatically generated stone walls.  The candidate placement data zip files contain:

Candidate_Placement_Data-npy.zip: SDF (.npy) representation of each candidate, with three channels of 32x32x32 for distances to the stone, the already-placed stones, and the target wall
Candidate_Placement_Data-pcd.zip: Point cloud (.pcd) representations of each candidate, with separate files for the placed stone, target wall (search volume), and already-placed stones (where they exist)
sdf_classifier.zip: Python examples:

Rendering the three channel SDF data to mesh geometry using marching cubes and libigl
Candidate SDF classification using the pretrained model
Candidate attributes and labels

candidate_attributes_labels.csv: CSV file containing a list of UUID's corresponding to each candidate placement in the dataset.  For each candidate, additional information is included about the dimensions and location of the solution, together with the (subjectively) hand-labelled binary value for placement viability. 
README.md: An additional readme with some details on the attributes file
If you use this data in your research, please cite the journal article.
DOI: 10.34740/kaggle/dsv/7053752
title: WallStreetBets 2022
DOI: 10.13140/rg.2.2.10407.52647
title: Instantaneous Flow Tracker (IFT) applied to analysis of cell division
DOI: 10.13140/rg.2.2.23829.29920
title: Instantaneous Flow Tracker (IFT) applied to analysis of cell division
DOI: 10.5281/zenodo.10206970
title: Approximations of derivatives by finite differences

description: As supplementary material of the paper, it follows many of the approximations of derivatives by finite differences in PDF and text format, following the table model proposed in the paper to store the finite difference equations.
DOI: 10.5281/zenodo.10206971
title: Approximations of derivatives by finite differences

description: As supplementary material of the paper, it follows many of the approximations of derivatives by finite differences in PDF and text format, following the table model proposed in the paper to store the finite difference equations.
DOI: 10.6084/m9.figshare.24634386
title: test

description: test
DOI: 10.6084/m9.figshare.24634386.v2
title: test

description: test
DOI: 10.6084/m9.figshare.24634386.v1
title: test

description: test
DOI: 10.6084/m9.figshare.24630810
title: test2

description: test
DOI: 10.6084/m9.figshare.24630810.v3
title: test2

description: test
DOI: 10.23719/1527900
title: Analysis of Microcystis aeruginosa physiology by spectral flow cytometry: Impact of chemical and light exposure

description: Analysis of Microcystis aeruginosa physiology by spectral flow cytometry: Impact of chemical and light exposure. new technique to observe photosynthesis to monitor the health or cyanobacteria and their reaction to hydrogen peroxide.
DOI: 10.25582/data.2022-09.2610900/2217743
title: Data for EMSL Project 60511 from September 2022
DOI: 10.25582/data.2022-07.2561641/2217744
title: Data for EMSL Project 60511 from July 2022
DOI: 10.25582/data.2022-07.2561735/2217745
title: Data for EMSL Project 60511 from July 2022
DOI: 10.25582/data.2022-08.2568727/2217746
title: Data for EMSL Project 60511 from August 2022
DOI: 10.25582/data.2022-08.2568722/2217747
title: Data for EMSL Project 60511 from August 2022
DOI: 10.25582/data.2022-08.2568673/2217748
title: Data for EMSL Project 60511 from August 2022
DOI: 10.25582/data.2022-07.2563427/2217749
title: Data for EMSL Project 60511 from July 2022
DOI: 10.25582/data.2022-07.2563445/2217750
title: Data for EMSL Project 60511 from July 2022
DOI: 10.25582/data.2022-09.2610876/2217751
title: Data for EMSL Project 60511 from September 2022
DOI: 10.25582/data.2022-08.2568573/2217752
title: Data for EMSL Project 60511 from August 2022
DOI: 10.25582/data.2022-08.2568654/2217753
title: Data for EMSL Project 60511 from August 2022
DOI: 10.25582/data.2022-09.2610896/2217754
title: Data for EMSL Project 60511 from September 2022
DOI: 10.25582/data.2022-07.2561502/2217755
title: Data for EMSL Project 60511 from July 2022
DOI: 10.25582/data.2022-08.2568557/2217756
title: Data for EMSL Project 60511 from August 2022
DOI: 10.25582/data.2022-07.2567127/2217757
title: Data for EMSL Project 60511 from July 2022
DOI: 10.25582/data.2022-08.2568596/2217758
title: Data for EMSL Project 60511 from August 2022
DOI: 10.25582/data.2022-07.2567123/2217759
title: Data for EMSL Project 60511 from July 2022
DOI: 10.25582/data.2022-08.2568590/2217760
title: Data for EMSL Project 60511 from August 2022
DOI: 10.25582/data.2022-07.2560347/2217761
title: Data for EMSL Project 60511 from July 2022
DOI: 10.25582/data.2022-07.2563327/2217762
title: Data for EMSL Project 60511 from July 2022
DOI: 10.25582/data.2022-07.2561378/2217763
title: Data for EMSL Project 60511 from July 2022
DOI: 10.25582/data.2022-08.2568667/2217764
title: Data for EMSL Project 60511 from August 2022
DOI: 10.25582/data.2022-09.2610858/2217765
title: Data for EMSL Project 60511 from September 2022
DOI: 10.25582/data.2022-08.2568591/2217766
title: Data for EMSL Project 60511 from August 2022
DOI: 10.25582/data.2022-07.2563394/2217767
title: Data for EMSL Project 60511 from July 2022
DOI: 10.25582/data.2022-07.2561629/2217768
title: Data for EMSL Project 60511 from July 2022
DOI: 10.25582/data.2022-09.2610814/2217769
title: Data for EMSL Project 60511 from September 2022
DOI: 10.25582/data.2022-07.2563314/2217770
title: Data for EMSL Project 60511 from July 2022