cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.e9qpah
title: Occurrence Download

description: A dataset containing 10292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Nycticorax nycticorax (Linnaeus, 1758)"
 ]
}

 The dataset includes 10292 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015270-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6lbsd
title: Occurrence Download

description: A dataset listing the 1646 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pteridium caudatum (L.) Maxon"
 ]
}

 The dataset's 1646 records were derived from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008115-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uml37k
title: Occurrence Download

description: A dataset containing 2963 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is MfN - Diptera Collection"
 ]
}

 The dataset includes 2963 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000398-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e77xj4
title: Occurrence Download

description: A dataset containing 4879 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-122.84912 36.27971,-117.92725 36.27971,-117.92725 39.63954,-122.84912 39.63954,-122.84912 36.27971))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bryophyta",
 "Year 2011-2021"
 ]
}

 The dataset includes 4879 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033592-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzazzx
title: Occurrence Download

description: A dataset containing 58013 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "DatasetKey is Base de datos del Herbario CIQR de El Colegio de la Frontera Sur, unidad Chetumal",
 "DatasetKey is iNaturalist Research-grade Observations",
 "DatasetKey is Fortalecimiento de las colecciones de ECOSUR. Primera fase (Mamíferos San cristóbal)",
 "DatasetKey is Uso y monitoreo de los recursos naturales en el Corredor Biológico Mesoamericano (áreas focales Xpujil-Zoh Laguna y Carrillo Puerto) (Néctar)",
 "DatasetKey is Atlas de las Aves de México: Fase II",
 "DatasetKey is Tropicos MO Specimen Data",
 "DatasetKey is Diagnóstico del aprovechamiento de flora y fauna por los mayas del Ejido Petcacab y evaluación de la cacería y pesca, Felipe Carrillo Puerto, Quintana Roo",
 "DatasetKey is Colección de referencia de vectores de Leishmania spp (causante de Leshmaniasis cutánea localizada) de la Península de Yucatán y un estudio preliminar en un área endémica de Quintana Roo (UADY)",
 "DatasetKey is Depuración de la colección y base de datos del Herbario CICY. Fase IV"
 ]
 },
 "Geometry POLYGON((-87.93139 19.7342,-88.4273 19.70727,-88.37961 19.23974,-87.96954 19.40173,-87.84556 19.64441,-87.93139 19.7342))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 58013 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035589-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6c8r78
title: Occurrence Download

description: A dataset containing 1810 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyclospermum leptophyllum (Pers.) Sprague ex Britton & P.Wilson"
 ]
}

 The dataset includes 1810 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053353-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dhb7yw
title: Occurrence Download

description: A dataset containing 2596 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Muraena helena Linnaeus, 1758"
 ]
}

 The dataset includes 2596 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027305-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7fmyt7
title: Occurrence Download

description: A dataset containing 6874 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micaria Westring, 1851"
 ]
}

 The dataset includes 6874 records from 212 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053328-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gf4uda
title: Occurrence Download

description: A dataset containing 2892 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kinosternon leucostomum (Duméril, Bibron & Duméril, 1851)"
 ]
}

 The dataset includes 2892 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016537-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y8zr8f
title: Occurrence Download

description: A dataset containing 481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hylophorbus rufescens Macleay, 1878"
 ]
}

 The dataset includes 481 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0304553-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tngvnd
title: Occurrence Download

description: A dataset containing 7803 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melaleuca quinquenervia (Cav.) S.T.Blake"
 ]
}

 The dataset includes 7803 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053329-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7e3h9u
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ursus arctos syriacus Hemprich & Ehrenberg, 1828"
 ]
}

 The dataset includes 25 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000398-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2z8gn
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Material sample"
 ]
 },
 "Geometry POLYGON((-57.30469 -57.70415,-18.63281 -5.61599,-67.85156 29.53523,-39.02344 48.45835,-58.00781 61.6064,-58.71094 72.39571,-117.77344 78.49055,-166.99219 73.02259,-169.10156 60.23981,-169.10156 44.59047,-142.38281 52.48278,-102.30469 -2.1089,-81.91406 -23.24135,-89.64844 -58.07788,-57.30469 -57.70415))",
 "HasGeospatialIssue is false",
 "TaxonKey is Agapostemonoides Roberts & Brooks, 1987",
 "Year 1960-2021"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0260091-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.34jznf
title: Occurrence Download

description: A dataset containing 5084 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pennisetum polystachion (L.) Schult."
 ]
}

 The dataset includes 5084 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0285170-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8h5kcx
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nylanderia natalenis (Forel, 1915) Forel, 1915"
 ]
}

 The dataset includes 159 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053345-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j6bgp6
title: Occurrence Download

description: A dataset listing the 83 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-90.31862 38.63527,-90.31836 38.63641,-90.31819 38.63685,-90.31795 38.63838,-90.31809 38.63844,-90.31849 38.63844,-90.31937 38.63852,-90.32011 38.63854,-90.32028 38.63841,-90.32023 38.63822,-90.32041 38.6382,-90.32104 38.63803,-90.32095 38.6377,-90.32085 38.63591,-90.32094 38.63573,-90.32138 38.63559,-90.32139 38.63546,-90.32089 38.63537,-90.31875 38.63521,-90.31862 38.63527))",
 "HasCoordinate is true",
 "TaxonKey is Aves",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 83 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000398-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v5cu34
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((4.325 51.125,4.375 51.125,4.375 51.175,4.325 51.175,4.325 51.125))",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0304533-200613084148143/datasets/export for details.
DOI: 10.15468/dl.282yv8
title: Occurrence Download

description: A dataset containing 245010 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Laminariales"
 ]
}

 The dataset includes 245010 records from 392 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0231287-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-07.2843367/2301502
title: Data for EMSL Project 60141 from July 2023
DOI: 10.25582/data.2023-07.2846381/2301503
title: Data for EMSL Project 60141 from July 2023
DOI: 10.25582/data.2022-11.2630924/2301504
title: Data for EMSL Project 60141 from November 2022
DOI: 10.25582/data.2022-11.2629336/2301505
title: Data for EMSL Project 60141 from November 2022
DOI: 10.25582/data.2023-04.2782931/2301506
title: Data for EMSL Project 60141 from April 2023
DOI: 10.25582/data.2022-04.2505119/2301507
title: Data for EMSL Project 60141 from April 2022
DOI: 10.25582/data.2022-03.2446424/2301508
title: Data for EMSL Project 60141 from March 2022
DOI: 10.25582/data.2022-11.2630662/2301509
title: Data for EMSL Project 60141 from November 2022
DOI: 10.25582/data.2022-10.2627738/2301510
title: Data for EMSL Project 60141 from October 2022
DOI: 10.25582/data.2022-05.2509577/2301511
title: Data for EMSL Project 60141 from May 2022
DOI: 10.25582/data.2022-04.2505320/2301512
title: Data for EMSL Project 60141 from April 2022
DOI: 10.25582/data.2022-04.2505319/2301513
title: Data for EMSL Project 60141 from April 2022
DOI: 10.25582/data.2022-10.2616231/2301514
title: Data for EMSL Project 60141 from October 2022
DOI: 10.25582/data.2022-03.2447048/2301515
title: Data for EMSL Project 60141 from March 2022
DOI: 10.25582/data.2023-04.2784371/2301516
title: Data for EMSL Project 60141 from April 2023
DOI: 10.25582/data.2022-11.2631535/2301517
title: Data for EMSL Project 60141 from November 2022
DOI: 10.25582/data.2022-11.2630890/2301518
title: Data for EMSL Project 60141 from November 2022
DOI: 10.25582/data.2022-11.2630946/2301519
title: Data for EMSL Project 60141 from November 2022
DOI: 10.25582/data.2022-03.2448849/2301520
title: Data for EMSL Project 60141 from March 2022
DOI: 10.25582/data.2023-03.2768218/2301521
title: Data for EMSL Project 60141 from March 2023
DOI: 10.25582/data.2022-11.2630908/2301522
title: Data for EMSL Project 60141 from November 2022
DOI: 10.25582/data.2022-04.2505288/2301523
title: Data for EMSL Project 60141 from April 2022
DOI: 10.25582/data.2022-11.2630797/2301524
title: Data for EMSL Project 60141 from November 2022
DOI: 10.25582/data.2023-08.2879300/2301525
title: Data for EMSL Project 60141 from August 2023
DOI: 10.25582/data.2022-04.2505205/2301526
title: Data for EMSL Project 60141 from April 2022
DOI: 10.25582/data.2022-11.2631238/2301527
title: Data for EMSL Project 60141 from November 2022
DOI: 10.6084/m9.figshare.25217576
title: Supplementary Material for: DHX37 Variant is One of Common Genetic Causes in Japanese Patients with Testicular Regression Syndrome / Partial Gonadal Dysgenesis without Müllerian Derivatives

description: Introduction: The testicular regression syndrome (TRS) is a form of differences of sex development (DSD) in which the testes differentiate and function during early embryonic development, but subsequently regress. The clinical phenotype of TRS often overlaps with that of partial gonadal dysgenesis (PGD). Previous studies have demonstrated a causal association between TRS/PGD and heterozygous missense variants of DHX37. Methods: We enrolled 11 Japanese 46,XY individuals (from 10 families) with TRS/PGD who exhibited undetected or hypoplastic testes, Müllerian duct regression, and low serum testosterone or anti-Müllerian hormone levels. The subjects underwent targeted sequencing of 36 known causative genes for DSD, PCR-based Sanger sequencing of DHX37, or whole exome sequencing. Results: Previously described pathogenic variants or novel nonsense variants (SRY, NR5A1, and DMRT1) were observed in four out of 10 families. Additionally, we identified two heterozygous rare variants of DHX37 in four families: a previously reported pathogenic variant (c.923G&gt;A, p.Arg308Gln) in three and a novel likely pathogenic variant (c.1882A&gt;C, p.Thr628Pro) in one. The external genitalia of patients with the DHX37 variants varied from female-type to male-type without micropenis. Eighty percent of Japanese patients with TRS/PGD had monogenic disorders including DHX37 variant being the most commonly identified (40%). The external or internal genital phenotype of TRS/PGD overlaps between DHX37 variant carriers and others. Conclusions: DHX37 variant is one of common genetic causes in Japanese patients with TRS/PGD without Müllerian derivatives. Genetic test is helpful in detecting DHX37-related TRS/PGD, because of the phenotypic diversity of the external genitalia in this disorder.
DOI: 10.25582/data.2022-11.2630663/2301528
title: Data for EMSL Project 60141 from November 2022
DOI: 10.25582/data.2023-07.2843313/2301529
title: Data for EMSL Project 60141 from July 2023
DOI: 10.25582/data.2022-11.2631588/2301530
title: Data for EMSL Project 60141 from November 2022
DOI: 10.25582/data.2022-04.2505222/2301531
title: Data for EMSL Project 60141 from April 2022
DOI: 10.25582/data.2022-03.2447503/2301532
title: Data for EMSL Project 60141 from March 2022
DOI: 10.25582/data.2022-11.2630904/2301533
title: Data for EMSL Project 60141 from November 2022
DOI: 10.25582/data.2023-04.2783350/2301534
title: Data for EMSL Project 60141 from April 2023
DOI: 10.25582/data.2023-08.2858653/2301535
title: Data for EMSL Project 60141 from August 2023
DOI: 10.25582/data.2021-10.2358023/2301536
title: Data for EMSL Project 60141 from October 2021
DOI: 10.25582/data.2022-10.2628086/2301537
title: Data for EMSL Project 60141 from October 2022
DOI: 10.25582/data.2023-10.2914045/2301538
title: Data for EMSL Project 60141 from October 2023
DOI: 10.25582/data.2023-07.2843331/2301539
title: Data for EMSL Project 60141 from July 2023
DOI: 10.25582/data.2022-10.2616237/2301540
title: Data for EMSL Project 60141 from October 2022
DOI: 10.25582/data.2022-03.2446996/2301541
title: Data for EMSL Project 60141 from March 2022
DOI: 10.25582/data.2023-09.2884633/2301542
title: Data for EMSL Project 60141 from September 2023
DOI: 10.25582/data.2023-02.2757176/2301543
title: Data for EMSL Project 60141 from February 2023
DOI: 10.3886/e198347
title: The Growth Contribution of Colonial Indian Railways in Comparative Perspective

description: Railways were an
important driver of global economic growth in the 19th and early 20th
centuries. While their role is well documented in industrial economies, we
know less about their macro-economic impact in developing countries. In this paper, we first estimate the
aggregate growth impact of Indian railways, one of the largest networks in the
world in the early 20th century. Then, we compare their impact in
India to four emerging Latin American economies (Argentina, Brazil, Mexico and
Uruguay) and the Cape Colony. Using growth accounting techniques common to the
cross-country estimates, we argue the aggregate growth impact of Indian
railways was significant, increasing Indian GDP per capita by 13.5% by 1912. We
also find that the growth impact of Indian railways was similar to Brazil and
Mexico, but smaller than Argentina and the Cape. Compared to the latter, India
had a smaller size of railway freight revenues in the economy and lower wages
to fares leading to lower passenger time savings. Railways were the most
important infrastructure driver of economic growth in India during the first
era of globalization from 1860 to 1912, but they contributed less than in
richer and more dynamic developing economies.
DOI: 10.3886/e198347v1
title: The Growth Contribution of Colonial Indian Railways in Comparative Perspective

description: Railways were an
important driver of global economic growth in the 19th and early 20th
centuries. While their role is well documented in industrial economies, we
know less about their macro-economic impact in developing countries. In this paper, we first estimate the
aggregate growth impact of Indian railways, one of the largest networks in the
world in the early 20th century. Then, we compare their impact in
India to four emerging Latin American economies (Argentina, Brazil, Mexico and
Uruguay) and the Cape Colony. Using growth accounting techniques common to the
cross-country estimates, we argue the aggregate growth impact of Indian
railways was significant, increasing Indian GDP per capita by 13.5% by 1912. We
also find that the growth impact of Indian railways was similar to Brazil and
Mexico, but smaller than Argentina and the Cape. Compared to the latter, India
had a smaller size of railway freight revenues in the economy and lower wages
to fares leading to lower passenger time savings. Railways were the most
important infrastructure driver of economic growth in India during the first
era of globalization from 1860 to 1912, but they contributed less than in
richer and more dynamic developing economies.
DOI: 10.25582/data.2022-11.2630626/2301544
title: Data for EMSL Project 60141 from November 2022
DOI: 10.25582/data.2022-10.2627431/2301545
title: Data for EMSL Project 60141 from October 2022
DOI: 10.25582/data.2022-01.2413080/2301546
title: Data for EMSL Project 60141 from January 2022
DOI: 10.25582/data.2022-02.2439748/2301547
title: Data for EMSL Project 60141 from February 2022
DOI: 10.25582/data.2023-07.2846441/2301548
title: Data for EMSL Project 60141 from July 2023
DOI: 10.25582/data.2023-11.2931114/2301549
title: Data for EMSL Project 60141 from November 2023
DOI: 10.25582/data.2023-04.2782775/2301550
title: Data for EMSL Project 60141 from April 2023
DOI: 10.25582/data.2022-11.2630642/2301551
title: Data for EMSL Project 60141 from November 2022
DOI: 10.25582/data.2022-10.2616243/2301552
title: Data for EMSL Project 60141 from October 2022
DOI: 10.25582/data.2022-04.2505247/2301553
title: Data for EMSL Project 60141 from April 2022
DOI: 10.25582/data.2022-03.2448813/2301554
title: Data for EMSL Project 60141 from March 2022
DOI: 10.25582/data.2022-04.2505366/2301555
title: Data for EMSL Project 60141 from April 2022
DOI: 10.25582/data.2022-10.2627613/2301556
title: Data for EMSL Project 60141 from October 2022
DOI: 10.25582/data.2022-04.2505232/2301557
title: Data for EMSL Project 60141 from April 2022
DOI: 10.25582/data.2022-02.2440560/2301558
title: Data for EMSL Project 60141 from February 2022
DOI: 10.25582/data.2023-02.2751370/2301559
title: Data for EMSL Project 60141 from February 2023
DOI: 10.25582/data.2021-11.2381573/2301560
title: Data for EMSL Project 60141 from November 2021
DOI: 10.25582/data.2022-04.2505201/2301561
title: Data for EMSL Project 60141 from April 2022
DOI: 10.25582/data.2023-07.2843314/2301562
title: Data for EMSL Project 60141 from July 2023
DOI: 10.25582/data.2022-02.2441127/2301567
title: Data for EMSL Project 60141 from February 2022
DOI: 10.25582/data.2022-11.2630877/2301568
title: Data for EMSL Project 60141 from November 2022
DOI: 10.25582/data.2022-04.2505214/2301569
title: Data for EMSL Project 60141 from April 2022
DOI: 10.25582/data.2023-11.2931942/2301570
title: Data for EMSL Project 60141 from November 2023
DOI: 10.25582/data.2022-02.2440585/2301571
title: Data for EMSL Project 60141 from February 2022
DOI: 10.25582/data.2022-11.2630914/2301572
title: Data for EMSL Project 60141 from November 2022
DOI: 10.25582/data.2022-11.2630618/2301573
title: Data for EMSL Project 60141 from November 2022
DOI: 10.25582/data.2022-11.2630950/2301574
title: Data for EMSL Project 60141 from November 2022
DOI: 10.25582/data.2022-10.2627567/2301575
title: Data for EMSL Project 60141 from October 2022
DOI: 10.25582/data.2022-10.2616224/2301576
title: Data for EMSL Project 60141 from October 2022
DOI: 10.25582/data.2023-07.2843301/2301577
title: Data for EMSL Project 60141 from July 2023
DOI: 10.25582/data.2022-03.2447240/2301578
title: Data for EMSL Project 60141 from March 2022
DOI: 10.25582/data.2022-01.2425668/2301579
title: Data for EMSL Project 60141 from January 2022
DOI: 10.25582/data.2023-07.2846421/2301580
title: Data for EMSL Project 60141 from July 2023
DOI: 10.25582/data.2022-04.2505255/2301581
title: Data for EMSL Project 60141 from April 2022
DOI: 10.25582/data.2023-09.2885082/2301582
title: Data for EMSL Project 60141 from September 2023
DOI: 10.25582/data.2022-10.2627740/2301583
title: Data for EMSL Project 60141 from October 2022
DOI: 10.25582/data.2021-12.2397839/2301584
title: Data for EMSL Project 60141 from December 2021
DOI: 10.25582/data.2022-11.2630201/2301585
title: Data for EMSL Project 60141 from November 2022
DOI: 10.25582/data.2022-11.2630417/2301586
title: Data for EMSL Project 60141 from November 2022
DOI: 10.25582/data.2022-10.2627509/2301587
title: Data for EMSL Project 60141 from October 2022
DOI: 10.25582/data.2024-02.3029570/2301590
title: Data for EMSL Project 60141 from February 2024