cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jpf9yt
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myriophyllum aquaticum",
 "Country is Dominican Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051673-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yju3rx
title: Occurrence Download

description: A dataset containing 2245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myriophyllum aquaticum",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2245 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051677-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxng7n
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myriophyllum aquaticum",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 120 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051678-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2nscps
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myriophyllum aquaticum",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051679-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17095544
title: REGNOM: cGPS daily position time series

description: Overview

The ocurrence of the Mw7.2 El Mayor-Cucapah earthquake (EMC) on April 5, 2010 marked a turning point in the developement of geodetic instrumentation in northern Baja California, Mexico. Today, the Geodetic Network of Northwestern Mexico (also known as REGNOM) consist of 27 continuous GPS (cGPS) stations designed to study crustal deformation, seismotectonics and seismogeodesy in northwestern Mexico. REGNOM is part of the Northwest Mexico Seismic Network (Vidal‐Villegas et al. 2018). These cGPS sites are distributed across the Peninsular Ranges and the Mexicali Valley in the southern Salton Trough, both in Baja California, with additional stations located in the Gran Desierto de Altar in Sonora, Mexico. The main collaborating research and analysis agencies include the EarthScope Consortium, the National Seismological Service of Mexico, and the U.S. Geological Survey.

Objectives

REGNOM's main objective is to provide accurate coordinates within a geodetic reference frame, which is fundamental for science and engineering.

      Specific goals



Estimate a regional reference frame for tectonic studies.

Provide long-term crustal deformation estimates.

Charaterize the commulative elastic deformation along different fault systems in northern Baja California.

Study the seismic cycle of the region.

Complement the seismic measurements of moderate magnitud earthquakes.

Make GPS/GNSS data available for survey applications, such as engineering proyects and topographic measurements, would foster interdisciplinary collaboration and broaden the impact of geodetic research.


Description

This cGPS dataset consists of 16 daily position time series (enu) sapanning from April 5, 2010 to November 26, 2022. Daily relative positioning was obtained using GAMIT software package, which processes phase data in a double-difference scheme between satellites and stations The processing includes the application of final orbits, atmospheric delay corrections (ionospheric and tropospheric) and ambiguity resolution of the carrier phase (Herring et al. 2018a; Herring et al. 2018b). Position time series were generated with the GLOBK module (Herring et al., 2015; T. A. Herring et al. 2018b). The reference frame implemented is the IGB14-fixed to North America.
DOI: 10.5281/zenodo.17095545
title: REGNOM: cGPS daily position time series

description: Overview

The ocurrence of the Mw7.2 El Mayor-Cucapah earthquake (EMC) on April 5, 2010 marked a turning point in the developement of geodetic instrumentation in northern Baja California, Mexico. Today, the Geodetic Network of Northwestern Mexico (also known as REGNOM) consist of 27 continuous GPS (cGPS) stations designed to study crustal deformation, seismotectonics and seismogeodesy in northwestern Mexico. REGNOM is part of the Northwest Mexico Seismic Network (Vidal‐Villegas et al. 2018). These cGPS sites are distributed across the Peninsular Ranges and the Mexicali Valley in the southern Salton Trough, both in Baja California, with additional stations located in the Gran Desierto de Altar in Sonora, Mexico. The main collaborating research and analysis agencies include the EarthScope Consortium, the National Seismological Service of Mexico, and the U.S. Geological Survey.

Objectives

REGNOM's main objective is to provide accurate coordinates within a geodetic reference frame, which is fundamental for science and engineering.

      Specific goals



Estimate a regional reference frame for tectonic studies.

Provide long-term crustal deformation estimates.

Charaterize the commulative elastic deformation along different fault systems in northern Baja California.

Study the seismic cycle of the region.

Complement the seismic measurements of moderate magnitud earthquakes.

Make GPS/GNSS data available for survey applications, such as engineering proyects and topographic measurements, would foster interdisciplinary collaboration and broaden the impact of geodetic research.


Description

This cGPS dataset consists of 16 daily position time series (enu) sapanning from April 5, 2010 to November 26, 2022. Daily relative positioning was obtained using GAMIT software package, which processes phase data in a double-difference scheme between satellites and stations The processing includes the application of final orbits, atmospheric delay corrections (ionospheric and tropospheric) and ambiguity resolution of the carrier phase (Herring et al. 2018a; Herring et al. 2018b). Position time series were generated with the GLOBK module (Herring et al., 2015; T. A. Herring et al. 2018b). The reference frame implemented is the IGB14-fixed to North America.
DOI: 10.6084/m9.figshare.30048874
title: Pragmatic Physical Activity Intervention for Nurse Burnout

description: This dataset comes from a randomized controlled longitudinal trial evaluating a pragmatic physical activity program for nurses. The study investigated its effects on burnout, perceived stress, and sleep quality, and explored stress regulation as a mediator and night shifts and digital media use as moderators.
DOI: 10.6084/m9.figshare.30048874.v1
title: Pragmatic Physical Activity Intervention for Nurse Burnout

description: This dataset comes from a randomized controlled longitudinal trial evaluating a pragmatic physical activity program for nurses. The study investigated its effects on burnout, perceived stress, and sleep quality, and explored stress regulation as a mediator and night shifts and digital media use as moderators.
DOI: 10.15468/dl.6qaevw
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myriophyllum aquaticum",
 "Country is Israel",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051686-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.asn59g
title: Brimley Mollusk Collections

description: Present Mollusca recorded by C.S. Brimley. We are trying to track down where C.S. Brimley's collections were.
DOI: 10.15468/dl.6a5uck
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myriophyllum aquaticum",
 "Country is Indonesia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051684-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4jau37
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cnemidophorus vanzoi"
 ]
}

 The dataset includes 104 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051683-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67tnec
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myriophyllum aquaticum",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 35 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051685-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vxu7sf
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myriophyllum aquaticum",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 70 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051688-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16396176
title: Managing Data Uncertainty and Machine Learning for Adult ADHD Classification Using Accelerometry: OBF-Psychiatric Case Study

description: Repository containing files, statistics and visualizations related to the OBF-Psychiatric database analysis and manuscript in progress. 

📊 Original data taken from: Garcia-Ceja, E., Stautland, A., Riegler, M. A., Halvorsen, P., Hinojosa, S., Ochoa-Ruiz, G., Berle, J. O., Førland, W., Mjeldheim, K., Oedegaard, K. J., & Jakobsen, P. (2025). OBF-Psychiatric, a motor activity dataset of patients diagnosed with major depression, schizophrenia, and ADHD. Scientific Data, 12(1), 32. https://doi.org/10.1038/s41597-025-04384-3 

✅ Allowed:Academic and research use (with proper citation)Modify and adapt the data (with proper citation)Redistribute (with proper citation)❌ Prohibited:Commercial use of any kind

📧 ContactFor questions about this research, please contact: [paola.azcastillo@gmail.com] or [paola.azcastillo@ieee.org]

Citation:

P. A. Castillo-Gutiérrez, “Managing Data Uncertainty and Machine Learning for Adult ADHD Classification Using Accelerometry: OBF-Psychiatric Case Study”. Zenodo, Jul. 2025. doi: 10.5281/zenodo.16396176.

MedRxiv Open-Access Article:

https://www.medrxiv.org/content/10.1101/2025.08.26.25332257v1
DOI: 10.17909/6mza-5q55
title: AURORA Survey

description: NIRSpec G140M/G235M/G395M spectra of distant galaxies
DOI: 10.15468/dl.nbamy9
title: Occurrence Download

description: A dataset listing the 28392 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "TaxonKey is Diptera"
 ]
}

 The dataset's 28392 records were derived from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051675-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q84dp2
title: Occurrence Download

description: A dataset containing 191997 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus nigra"
 ]
}

 The dataset includes 191997 records from 1174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051652-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-01.1935153/2389945
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932636/2389946
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933695/2389947
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933393/2389948
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1931698/2389949
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1935233/2389950
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934954/2389951
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934171/2389952
title: Data for EMSL Project 47643 from January 2020
DOI: 10.34740/kaggle/dsv/5528419
title: Bus travel time data
DOI: 10.25582/data.2020-01.1934642/2389953
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932967/2389954
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934381/2389955
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934984/2389956
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932859/2389957
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933189/2389958
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933526/2389959
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934768/2389960
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934361/2389961
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1935162/2389962
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933224/2389963
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933698/2389964
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933727/2389965
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934060/2389966
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933604/2389967
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933717/2389968
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1935169/2389969
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933702/2389970
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933723/2389971
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1935226/2389972
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932883/2389973
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933444/2389974
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1931286/2389975
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933588/2389976
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934333/2389977
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934975/2389978
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933130/2389979
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933859/2389980
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934080/2389981
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934457/2389982
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1931434/2389983
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932850/2389984
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932628/2389985
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933564/2389986
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1931678/2389987
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934690/2389988
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933433/2389989
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1935207/2389990
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1931348/2389991
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932891/2389992
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932664/2389993
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933739/2389994
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933221/2389995
title: Data for EMSL Project 47643 from January 2020
DOI: 10.15468/dl.zvtpg5
title: Occurrence Download

description: A dataset containing 654766 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is niek_2022"
 ]
}

 The dataset includes 654766 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012496-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2020-01.1935165/2389996
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933693/2389997
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932842/2389998
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932902/2389999
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933514/2390000
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932294/2390001
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934699/2390002
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934743/2390003
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932428/2390004
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933079/2390005
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932826/2390006
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934601/2390007
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932900/2390008
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933709/2390009
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934139/2390010
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1931667/2390011
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1931696/2390012
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1931636/2390013
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933720/2390014
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932557/2390015
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933524/2390016
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933712/2390017
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933528/2390018
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1931703/2390019
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932894/2390020
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933443/2390021
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932899/2390022
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933631/2390023
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934402/2390024
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933032/2390025
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933106/2390026
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934413/2390027
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933214/2390028
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933617/2390029
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1931687/2390030
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933548/2390031
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932971/2390032
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933092/2390033
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934356/2390034
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934345/2390035
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933183/2390036
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933735/2390037
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934276/2390038
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932729/2390039
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932861/2390040
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933247/2390041
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1931684/2390042
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932990/2390043
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934705/2390044
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933219/2390045
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933235/2390046
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933664/2390047
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933187/2390048
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934006/2390049
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1931350/2390050
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932847/2390051
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933347/2390052
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934822/2390053
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1933681/2390054
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934134/2390055
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932632/2390056
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1934969/2390057
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1931695/2390058
title: Data for EMSL Project 47643 from January 2020
DOI: 10.25582/data.2020-01.1932735/2390059
title: Data for EMSL Project 47643 from January 2020