cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24847767.v1
title: Data_all.zipInfluence of Cr(III) on the formation and transformation of corrosion products of steel in marine environments

description:  A fundamental approach is used to better understand the influence of Cr on the resistance of low alloy steel to marine corrosion. It focuses on the formation and transformation of corrosion products of steel in seawater-like electrolytes. Fe(OH)<sub>2</sub> precipitates are then prepared by mixing a solution of NaCl, Na<sub>2</sub>SO<sub>4</sub>·10H<sub>2</sub>O, FeCl<sub>2</sub>·4H<sub>2</sub>O or FeCl<sub>2</sub>·4H<sub>2</sub>O + CrCl<sub>3</sub>·6H<sub>2</sub>O (so that Cr = 8% and Fe = 92%), with a solution of NaOH. In a first approach, the obtained aqueous suspension is stirred, at a controlled temperature of 25±0.5°C, to be oxidized by air. The resulting oxidation product is characterized by XRD and Raman spectroscopy. In a second approach, the Fe(OH)<sub>2</sub> precipitates are aged one week in suspension in anoxic conditions, filtered, mixed as a wet paste with glycerol and set as a thin compact layer on the sample holder of a X-ray diffraction system. The oxidation process of Fe(OH)<sub>2 </sub>is then monitored in situ during the acquisition of the X-ray diffractogram. The obtained results demonstrate that Cr(III) hinders the formation of green rust compounds, hence hindering the formation of gamma-FeOOH, i.e., the main oxidation product of green rust compounds. The other oxidation pathways of Fe(OH)<sub>2</sub>, which lead to Fe<sub>3</sub>O<sub>4</sub> or alpha-FeOOH, are thus favored. Nevertheless, Cr(III) favors mainly the solid state transformation pathway of Fe(OH)<sub>2</sub>, thus promoting a-FeOOH via the formation of poorly ordered Fe(III) oxyhydroxides, namely feroxyhyte and ferrihydrite.
DOI: 10.34740/kaggle/dsv/7223629
title: MoviesDatasets
DOI: 10.34740/kaggle/dsv/7223645
title: Mahanagar Yatayat Transport Dataset
DOI: 10.5281/zenodo.8363882
title: Adsorption of Neutral and Charged S-Bearing Species onto Olivine Nanoclusters

description: The Supporting Material contains the cartesian coordinates of optimized minima and transition state for the reaction studied in the paper, in .xyz format, computed using ORCA code. The folders are relative to:



	
structures of the first benchmark, optimized at 𝜔B97M-V/def2-TZVP level of theory;
	
structures of the second benchmark, optimized at B3LYP-D3(BJ), 𝜔B97M-V and r2SCAN-3c levels of theory, plus NEB structures at 𝜔B97M-V level;
	
adsorption of H2O, H2S, CO and CS on forsterite, cluster A and cluster B at 𝜔B97M-V/def2-TZVP level of theory:
	
adsorption of the 9 S-bearing species on cluster C at 𝜔B97M-V/def2-TZVP level of theory.
DOI: 10.5281/zenodo.8363881
title: Adsorption of Neutral and Charged S-Bearing Species onto Olivine Nanoclusters

description: The Supporting Material contains the cartesian coordinates of optimized minima and transition state for the reaction studied in the paper, in .xyz format, computed using ORCA code. The folders are relative to:



	
structures of the first benchmark, optimized at 𝜔B97M-V/def2-TZVP level of theory;
	
structures of the second benchmark, optimized at B3LYP-D3(BJ), 𝜔B97M-V and r2SCAN-3c levels of theory, plus NEB structures at 𝜔B97M-V level;
	
adsorption of H2O, H2S, CO and CS on forsterite, cluster A and cluster B at 𝜔B97M-V/def2-TZVP level of theory:
	
adsorption of the 9 S-bearing species on cluster C at 𝜔B97M-V/def2-TZVP level of theory.
DOI: 10.6084/m9.figshare.24847836.v1
title: 20231218_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24847836
title: 20231218_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.5281/zenodo.10396945
title: Suivi cinétique Fluorescences des Quandums Dots ; IDCS

description: Les QD1 correspondent aux Quantum Dots sans coque

Les QD2 correspondent aux Quantum Dots avec coque
DOI: 10.5281/zenodo.10396944
title: Suivi cinétique Fluorescences des Quandums Dots ; IDCS

description: Les QD1 correspondent aux Quantum Dots sans coque

Les QD2 correspondent aux Quantum Dots avec coque
DOI: 10.5281/zenodo.10397092
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Armand Tournis, http://www.wikidata.org/entity/Q21587664. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21587664
DOI: 10.5281/zenodo.10397093
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Armand Tournis, http://www.wikidata.org/entity/Q21587664. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21587664
DOI: 10.6084/m9.figshare.24847848.v2
title: asasasqasdasdasd

description: asdjkasjclwjeniocmisedv
DOI: 10.6084/m9.figshare.22774910
title: FVF replication package

description: Replication package of FVF.
DOI: 10.6084/m9.figshare.22774910.v3
title: FVF replication package

description: Replication package of FVF.
DOI: 10.6084/m9.figshare.24847881
title: Tweets about immigration - Breitbart London (UK)

description: Tweets related to immigration made by Breitbart London between February 2014 and October 2022.
DOI: 10.6084/m9.figshare.24847881.v1
title: Tweets about immigration - Breitbart London (UK)

description: Tweets related to immigration made by Breitbart London between February 2014 and October 2022.
DOI: 10.6084/m9.figshare.24847884.v1
title: Tweets about immigration - TV Libertés (France)

description: Tweets related to immigration made by TV Libertés between February 2014 and October 2022.
DOI: 10.6084/m9.figshare.24847884
title: Tweets about immigration - TV Libertés (France)

description: Tweets related to immigration made by TV Libertés between February 2014 and October 2022.
DOI: 10.6084/m9.figshare.24182859
title: <b>Cooler and drier conditions increase parasitism in subtropical damselfly populations</b>

description: The "season.csv" dataset describe data of parasite prevalence and intensity of <i>Agriocnemis f</i><i>emina</i> damselflies across seasons.
DOI: 10.6084/m9.figshare.24182859.v1
title: <b>Cooler and drier conditions increase parasitism in subtropical damselfly populations</b>

description: The "season.csv" dataset describe data of parasite prevalence and intensity of <i>Agriocnemis f</i><i>emina</i> damselflies across seasons.
DOI: 10.6084/m9.figshare.24847887
title: Tweets about immigration - (Germany)

description: Tweets related to immigration made by Compact Magazin, Junge Freiheit, and Sezession im Netz between April 2009 and October 2022.
DOI: 10.5281/zenodo.10045069
title: UED and trajectory dataset – photochemistry of thiophenone

description: # UED_thiophenone
---
Dataset for the 15uJ MeV-UED experiment on thiophenone (20201103_2242_run32_15uJ) and Trajectories of thiophenone used to analyze the UED results (trajectories_xyz).
 
## Description of the data and file structure
 
Directory '20201103_2242_run32_15uJ.zip' contains the raw data of the UED experiment conducted on thiophenone and analyzed in the main text of the article. The label of each file corresponds to the delay of the pump/probe setup. The format of each image is tif.
 
Directory 'trajectories_xyz.zip' contains xyz trajectories of nonadiabatic molecular dynamics (TSHx.xyz) and subsequent ab initio molecular dynamics (AIMDx.xyz). The 'x' label the trajectory (43 trajectories, TSH+AIMD, in total).
 
 
## Sharing/Access information
 
NA
 
## Code/Software
 
NA
DOI: 10.5281/zenodo.10045070
title: UED and trajectory dataset – photochemistry of thiophenone

description: # UED_thiophenone
---
Dataset for the 15uJ MeV-UED experiment on thiophenone (20201103_2242_run32_15uJ) and Trajectories of thiophenone used to analyze the UED results (trajectories_xyz).
 
## Description of the data and file structure
 
Directory '20201103_2242_run32_15uJ.zip' contains the raw data of the UED experiment conducted on thiophenone and analyzed in the main text of the article. The label of each file corresponds to the delay of the pump/probe setup. The format of each image is tif.
 
Directory 'trajectories_xyz.zip' contains xyz trajectories of nonadiabatic molecular dynamics (TSHx.xyz) and subsequent ab initio molecular dynamics (AIMDx.xyz). The 'x' label the trajectory (43 trajectories, TSH+AIMD, in total).
 
 
## Sharing/Access information
 
NA
 
## Code/Software
 
NA
DOI: 10.5519/qd.ignhu54m
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (118 records)
DOI: 10.6084/m9.figshare.24847926
title: DataSet_ED_NE

description: Data set of 401 responses of young adults of EAT26
DOI: 10.6084/m9.figshare.24847926.v1
title: DataSet_ED_NE

description: Data set of 401 responses of young adults of EAT26
DOI: 10.5281/zenodo.10371289
title: Twitter Dataset for "Will You Take the Knee? Italian Twitter Echo Chambers' Genesis During EURO 2020"

description: Echo chambers can be described as situations in which individuals encounter and interact only with viewpoints that confirm their own, thus moving, as a group, to more polarized and extreme positions. Recent literature mainly focuses on characterizing such entities via static observations, thus disregarding their temporal dimension. In this work, distancing from such a trend, we study, at multiple topological levels, echo chambers genesis related to the social discussions that took place in Italy during the EURO 2020 Championship. Our analysis focuses on a well-defined topic (i.e., BLM/racism) discussed on Twitter during a perfect temporally bound (sporting) event. Such characteristics allow us to track the rise and evolution of echo chambers in time, thus relating their existence to specific episodes.
DOI: 10.5281/zenodo.10371290
title: Twitter Dataset for "Will You Take the Knee? Italian Twitter Echo Chambers' Genesis During EURO 2020"

description: Echo chambers can be described as situations in which individuals encounter and interact only with viewpoints that confirm their own, thus moving, as a group, to more polarized and extreme positions. Recent literature mainly focuses on characterizing such entities via static observations, thus disregarding their temporal dimension. In this work, distancing from such a trend, we study, at multiple topological levels, echo chambers genesis related to the social discussions that took place in Italy during the EURO 2020 Championship. Our analysis focuses on a well-defined topic (i.e., BLM/racism) discussed on Twitter during a perfect temporally bound (sporting) event. Such characteristics allow us to track the rise and evolution of echo chambers in time, thus relating their existence to specific episodes.
DOI: 10.5281/zenodo.10397239
title: Drivers of species composition in arable weed communities of the Austrian-Hungarian borderland region: what is the role of the country?

description: This dataset consists of data used in paper entitled "Drivers of species composition in arable weed communities of the Austrian-Hungarian borderland region: what is the role of the country?". 

File "tvexport.cc!" contains the cover data in Cornell condesed format. The format of plot IDs are nr. of field/nr. of plot within field. In each field, the first plot are located in the margin of the field, while the other three plots are randomly placed inside.

File "Variables_Interreg_SAM_300.xlsx" contains the environmental, location and management data for each plot. These data except crop cover are the same for the four plots in each fields.
DOI: 10.5281/zenodo.10397240
title: Drivers of species composition in arable weed communities of the Austrian-Hungarian borderland region: what is the role of the country?

description: This dataset consists of data used in paper entitled "Drivers of species composition in arable weed communities of the Austrian-Hungarian borderland region: what is the role of the country?". 

File "tvexport.cc!" contains the cover data in Cornell condesed format. The format of plot IDs are nr. of field/nr. of plot within field. In each field, the first plot are located in the margin of the field, while the other three plots are randomly placed inside.

File "Variables_Interreg_SAM_300.xlsx" contains the environmental, location and management data for each plot. These data except crop cover are the same for the four plots in each fields.
DOI: 10.34740/kaggle/dsv/7195461
title: MuteMotion: WLASL MediaPipe Encoded
DOI: 10.5281/zenodo.10397272
title: /Propriétés photobases d'heptazines dans un mélange eau/THF
DOI: 10.5281/zenodo.10397271
title: /Propriétés photobases d'heptazines dans un mélange eau/THF
DOI: 10.5281/zenodo.5566543
title: Greenpeg_Remote_Sensing_data

description: Greenpeg Project - Remote Sensing Database
DOI: 10.5281/zenodo.5566544
title: Greenpeg_Remote_Sensing_data

description: Greenpeg Project - Remote Sensing Database
DOI: 10.5285/d43a5297-0394-47ba-9d8c-4dcd09b88c55
title: HiTemp: High Density Meteorological measurements within the Urban Birmingham Conurbation.

description: Meteorological data from a high density network of meteorological sensors installed within the Birmingham conurbation: including 25 Vaisala WXT520 weather transmitters installed  at sites within the Birmingham conurbation Each sensor measured temperature, precipitation, relative humidity, wind speed and direction, pressure, solar radiation and quality flags. 
These measurements have been made by the Birmingham Urban Climate Laboratory (BUCL) for the HiTemp (High Density Measurements within the Urban Environment) project in order to study the Birmingham Urban Heat Island (UHI)
DOI: 10.5519/qd.1wopwo3c
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (419 records)
DOI: 10.5063/f1862drk
title: Optical Density Data From Anthrenocerus australis Gut Enzyme Assays and Standards.

description: Substrates used against gut enzymes were BApNA, SAAPPpNA, LpNA, SAAPLpNA, pNP butyrate.
DOI: 10.17632/gj5v9twvm7.1
title: Data for: Brain synchronizability, a false friend

description: no data
DOI: 10.17632/tfmvf5xtnc.1
title: Data for: Ecosystem hero and villain: Native Luzon wart frog consumes rice pests, while the invasive cane toad feasts on beneficial arthropods
DOI: 10.25582/data.2022-10.2614743/2107323
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2613490/2107324
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2612597/2107325
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2613744/2107326
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2613634/2107327
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2612741/2107328
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612833/2107329
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2610709/2107330
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2613531/2107331
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2613729/2107332
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2614250/2107333
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2612766/2107334
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612876/2107335
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612572/2107336
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2613299/2107337
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612764/2107338
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2613379/2107339
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2614103/2107340
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2611434/2107341
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2613562/2107342
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2614057/2107343
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2614758/2107344
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2613280/2107345
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2613295/2107346
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2613741/2107347
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2614119/2107348
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2612898/2107349
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2613477/2107350
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2613551/2107351
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2613714/2107352
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2611016/2107353
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612956/2107354
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2613214/2107355
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2613554/2107356
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2613065/2107357
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2613083/2107358
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2613604/2107359
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2613542/2107360
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2613057/2107361
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612893/2107362
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2613302/2107363
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2614347/2107364
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2613028/2107365
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612657/2107366
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2613728/2107367
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2613455/2107368
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612918/2107369
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2613791/2107370
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2613020/2107371
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2613096/2107372
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2613611/2107373
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2614107/2107374
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2610963/2107375
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2613530/2107376
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2612907/2107377
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2613095/2107378
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2611405/2107379
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612995/2107380
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2613022/2107381
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2614173/2107382
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2613569/2107383
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2613745/2107384
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2612937/2107385
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612827/2107386
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2614283/2107387
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2613736/2107388
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2613500/2107389
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2612959/2107390
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2613557/2107391
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2613750/2107392
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2613565/2107393
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2613710/2107394
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2612716/2107395
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2613023/2107396
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612763/2107397
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2613034/2107398
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2613077/2107399
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2614261/2107400
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2613624/2107401
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2613638/2107402
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2612904/2107403
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2613019/2107404
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2613101/2107405
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2613572/2107406
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2614300/2107407
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2612963/2107408
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2613026/2107409
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2612779/2107410
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2613360/2107411
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2614754/2107412
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2614124/2107413
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2614174/2107414
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2613062/2107415
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-09.2610915/2107416
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2614312/2107417
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2613068/2107418
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2613521/2107419
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-10.2613722/2107420
title: Data for EMSL Project 51287 from October 2022
DOI: 10.25582/data.2022-09.2613094/2107421
title: Data for EMSL Project 51287 from September 2022
DOI: 10.25582/data.2022-10.2614207/2107422
title: Data for EMSL Project 51287 from October 2022