cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21316944.v1
title: Pharmaceutical industry payments to NHS trusts in England: A four-year analysis of the Disclosure UK database

description: <strong>Introduction</strong>: Although hospitals are key health service providers, their financial ties to drug companies have been rarely scrutinised. In developing this body of work, we examine industry payments for non-research activities to National Health Service (NHS) trusts – hospital groupings providing publicly funded secondary and tertiary care in England. <strong>Methods</strong>: We extracted data from the industry-run Disclosure UK database, analysing payment distribution descriptively and identifying trends in medians with the Jonckheere-Terpstra test. The payment value and number per NHS trust were explained using random effects models. <strong>Results</strong>: Between 2015 and 2018, 116 companies reported paying £60,253,421.86 to 235 trusts. As a share of payments to all healthcare organisations the number of payments to trusts rose from 38.64% to 39.48%, but their value dropped from 33.01% to 23.61%. While the number of all payment types rose, fees for service and consultancy and contributions to costs of events increased by 61.55% and 29.43%, respectively. The median payment values decreased significantly for trusts overall, including those with lower autonomy from central government; providing acute services; and from four of the eight regions of England. The random effects model showed that trusts with all other service profiles received a significantly lower value of payments on average than acute trusts; and trusts from East England received significantly less than those from London. However, trusts enjoying greater autonomy from government did not receive significantly more payments than others. Trusts also received significantly lower (but not fewer) payments in 2018 than in 2015. <strong>Conclusion</strong>: NHS trusts were losing importance as funding targets relative to other healthcare organisations. Industry payment strategies shifted towards engaging with NHS trusts using events sponsorship, consultancies, and smaller payments. Industry prioritised payments to trusts with specific service and geographical profiles. More granular disclosure is necessary to understand the role of corporate funding across the health system.
DOI: 10.5281/zenodo.6973504
title: Supplementary Data for "The phosphorus budget of the silicate Earth based on an updated estimate of P/Nd ratio".

description: Supplementary data tables for Ma et al. (2022) associated with the paper entitled "The phosphorus budget of the silicate Earth based on an updated estimate of P/Nd ratio".
DOI: 10.6084/m9.figshare.21316554.v1
title: In vivo SERS nanosensor for plant signaling molecules

description: 1. TEM, SEM, CLSM image files 2. raw spectrum txt files 3. extra data for supplementary notes
DOI: 10.5281/zenodo.7134902
title: Sequence data of 190 tea plantations soil microorganisms

description: The file contains 190 clean fastq data for soil samples from 19 different types of tea plantations in two districts of Pu'er city, which designed for the study of soil bacterial communities .The tea plantations all belong to Pu'er city, Yunnan province from China.
DOI: 10.5281/zenodo.7134901
title: Sequence data of 190 tea plantations soil microorganisms

description: The file contains 190 clean fastq data for soil samples from 19 different types of tea plantations in two districts of Pu'er city, which designed for the study of soil bacterial communities .The tea plantations all belong to Pu'er city, Yunnan province from China.
DOI: 10.34943/974d2911-0a7e-4139-954d-15e538ec5252
title: Vancouver Island Precise Point Positioning - Float Deployed 2021-12-09

description: The Precise Point Positioning Float AR 18 was deployed on 2021-12-09 at Vancouver Island. Vancouver Island is located on the west coast of British Columbia. It is enclosed by the inner coastal waters of the Salish Sea and the Pacific Ocean. This device is a Precise Point Positioning - Float. These precise point positioning processors are modules as part of an aggregate systems for the Earthquake Early Warning (EEW) installations. Within these processors, specially designed filters are applied to Global Navigation Satellite System and accelerometer input data. The processors output supports epicentre location and magnitude estimates for the larger earthquake detection system. This category corresponds to the floating point ambiguity resolution (AR) stream. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/f90de850-6cc8-4613-b630-1deaccb23d81
title: Vancouver Island Precise Point Positioning - Integer Deployed 2021-12-09

description: The Precise Point Positioning Int AR 18 was deployed on 2021-12-09 at Vancouver Island. Vancouver Island is located on the west coast of British Columbia. It is enclosed by the inner coastal waters of the Salish Sea and the Pacific Ocean. This device is a Precise Point Positioning - Integer. These precise point positioning processors are modules as part of an aggregate systems for the Earthquake Early Warning installations. These processors apply specially designed filters to Global Navigation Satellite System and accelerometer input data. Its output serves the larger earthquake detection system. This category corresponds to the integer ambiguity resolution (INT) stream. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/50766e10-a0d6-4cd0-80ba-770c42f468c2
title: Vancouver Island Precise Point Positioning - Orbits Deployed 2021-12-09

description: The Precise Point Positioning Orbits 18 was deployed on 2021-12-09 at Vancouver Island. Vancouver Island is located on the west coast of British Columbia. It is enclosed by the inner coastal waters of the Salish Sea and the Pacific Ocean. This device is a Precise Point Positioning - Orbits. These precise point positioning processors are modules as part of an aggregate systems for the Earthquake Early Warning (EEW) installations. These processors apply specially designed filters to Global Navigation Satellite System and accelerometer input data. Its output serves the larger earthquake detection system. This category corresponds to the broadband orbits (ORB) stream. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.17303990
title: A high-quality reference genome sequence of Aralia elata provides insights into the key enzyme genes of triterpenoid biosynthesis pathway

description: Aralia elata, a perennial woody of the genus Aralia in the family Araliaceae. It is rich in saponins and therefore has a wide range of pharmacological effects.
DOI: 10.6084/m9.figshare.17303990.v1
title: A high-quality reference genome sequence of Aralia elata provides insights into the key enzyme genes of triterpenoid biosynthesis pathway

description: Aralia elata, a perennial woody of the genus Aralia in the family Araliaceae. It is rich in saponins and therefore has a wide range of pharmacological effects.
DOI: 10.5517/ccdc.csd.cc2cwknh
title: CCDC 2201237: Experimental Crystal Structure Determination

description: Related Article: Zhi-Wen  Yang|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.20934613.v2
title: Machine Learning Model to Predict Endophytic Colonisation of Rice Cultivar Plant Tissues by Beauveria Bassiana Isolates and their Potential as Bio-control Agents Against Rice Stem Borer using Existing Knowledge.

description: <strong>Dataset 1. </strong> <br> <strong>Evaluation of endophytic behaviour of </strong><em><strong>B. bassiana </strong></em><strong>strains in rice plants following seed inoculation.</strong> <br> <br> <strong>Dataset 2. </strong> <br> <strong>Evaluation of endophytic behaviour of </strong><em><strong>B. bassiana </strong></em><strong>strains in rice plants following foliar spray inoculation.</strong> <br> <br> <br>
DOI: 10.6084/m9.figshare.20934613.v1
title: Machine Learning Model to Predict Endophytic Colonisation of Rice Cultivar Plant Tissues by Beauveria Bassiana Isolates and their Potential as Bio-control Agents Against Rice Stem Borer using Existing Knowledge.

description: <strong>Dataset 1. </strong> <br> <strong>Evaluation of endophytic behaviour of </strong><em><strong>B. bassiana </strong></em><strong>strains in rice plants following seed inoculation.</strong> <br> <br> <strong>Dataset 2. </strong> <br> <strong>Evaluation of endophytic behaviour of </strong><em><strong>B. bassiana </strong></em><strong>strains in rice plants following foliar spray inoculation.</strong> <br> <br> <br>
DOI: 10.6084/m9.figshare.21316998
title: UNFCCC country-submitted greenhouse gas emissions data until 2022-10-12

description: Dataset containing all greenhouse gas emissions data submitted by countries under the climate change convention (CRF data and BUR data) as published by the UNFCCC secretariat at 2022-10-12.
DOI: 10.6084/m9.figshare.21316998.v1
title: UNFCCC country-submitted greenhouse gas emissions data until 2022-10-12

description: Dataset containing all greenhouse gas emissions data submitted by countries under the climate change convention (CRF data and BUR data) as published by the UNFCCC secretariat at 2022-10-12.
DOI: 10.15468/dl.x2dycq
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leonurus chaituroides C.Y.Wu & H.W.Li"
 ]
}

 The dataset includes 35 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042000-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scnavg
title: Occurrence Download

description: A dataset containing 84868 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Achnatherum calamagrostis (L.) P.Beauv., Acroceras amplectens Stapf, Acroceras zizanioides (Kunth) Dandy, Aegilops crassa Boiss. ex Hohen., Aegilops speltoides Tausch, Aeluropus macrostachyus Hack., Agropyron fragile (Roth) P.Candargy, Agrostis stolonifera L., Alloteropsis cimicina (L.) Stapf, Alopecurus magellanicus Lam., Alopecurus myosuroides Huds., Alopecurus textilis Boiss., Andropogon gerardi Vitman, Anthephora pubescens Nees, Anthoxanthum odoratum L., Arctagrostis latifolia (R.Br.) Griseb., Aristida barbicollis Trin. & Rupr., Aristida congesta Roem. & Schult., Aristida diffusa Trin., Aristida divaricata Humb. & Bonpl. ex Willd., Arrhenatherum album (Vahl) Clayton, Arundinella hirta (Thunb.) Tanaka, Avena fatua L., Avena sativa L., Axonopus compressus (Sw.) P.Beauv., Beckmannia syzigachne (Steud.) Fernald, Bothriochloa barbinodis (Lag.) Herter, Bothriochloa bladhii (Retz.) S.T.Blake, Bothriochloa insculpta (Hochst. ex A.Rich.) A.Camus, Bothriochloa saccharoides (Sw.) Rydb.)",
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 84868 records from 760 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041983-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2022-11.2644393/2220514
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-03.2457281/2220515
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-10.2624946/2220516
title: Data for EMSL Project 60276 from October 2022
DOI: 10.25582/data.2022-10.2624122/2220517
title: Data for EMSL Project 60276 from October 2022
DOI: 10.25582/data.2022-11.2642472/2220518
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-02.2440471/2220519
title: Data for EMSL Project 60276 from February 2022
DOI: 10.25582/data.2022-02.2440630/2220520
title: Data for EMSL Project 60276 from February 2022
DOI: 10.25582/data.2022-03.2452885/2220521
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-11.2647414/2220522
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-03.2453026/2220523
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-02.2439927/2220524
title: Data for EMSL Project 60276 from February 2022
DOI: 10.25582/data.2022-03.2452931/2220525
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-03.2457344/2220526
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-03.2452993/2220527
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-11.2647278/2220528
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647322/2220529
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647351/2220530
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647668/2220531
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2642525/2220532
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-03.2457336/2220533
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-02.2439872/2220534
title: Data for EMSL Project 60276 from February 2022
DOI: 10.25582/data.2022-10.2623776/2220535
title: Data for EMSL Project 60276 from October 2022
DOI: 10.25582/data.2022-11.2647663/2220536
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647613/2220537
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-03.2457273/2220538
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-11.2647380/2220539
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-03.2453041/2220540
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-11.2646378/2220541
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647343/2220542
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647681/2220543
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-03.2452866/2220544
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-11.2647642/2220545
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647275/2220546
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647407/2220547
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-03.2457389/2220548
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-03.2457312/2220549
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-03.2457313/2220550
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-11.2647656/2220551
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647752/2220552
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647425/2220553
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-02.2439239/2220554
title: Data for EMSL Project 60276 from February 2022
DOI: 10.25582/data.2022-10.2623527/2220555
title: Data for EMSL Project 60276 from October 2022
DOI: 10.25582/data.2022-11.2647422/2220556
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2644495/2220557
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-10.2623236/2220558
title: Data for EMSL Project 60276 from October 2022
DOI: 10.25582/data.2022-03.2457298/2220559
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-10.2624085/2220560
title: Data for EMSL Project 60276 from October 2022
DOI: 10.25582/data.2022-11.2647378/2220561
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647734/2220562
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-02.2439224/2220563
title: Data for EMSL Project 60276 from February 2022
DOI: 10.25582/data.2022-11.2647682/2220564
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-02.2439259/2220565
title: Data for EMSL Project 60276 from February 2022
DOI: 10.25582/data.2022-11.2647662/2220566
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2642413/2220567
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-03.2453001/2220568
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-11.2647381/2220569
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-02.2439396/2220570
title: Data for EMSL Project 60276 from February 2022
DOI: 10.25582/data.2022-03.2453060/2220571
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-10.2623098/2220572
title: Data for EMSL Project 60276 from October 2022
DOI: 10.25582/data.2022-11.2647672/2220573
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-03.2452907/2220574
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-03.2457308/2220575
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-02.2439983/2220576
title: Data for EMSL Project 60276 from February 2022
DOI: 10.25582/data.2022-11.2645475/2220577
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647341/2220578
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647342/2220579
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-02.2439293/2220580
title: Data for EMSL Project 60276 from February 2022
DOI: 10.25582/data.2022-11.2647296/2220581
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647653/2220582
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2646260/2220583
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-03.2452971/2220584
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-11.2646530/2220585
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647423/2220586
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-10.2624176/2220587
title: Data for EMSL Project 60276 from October 2022
DOI: 10.25582/data.2022-10.2624208/2220588
title: Data for EMSL Project 60276 from October 2022
DOI: 10.25582/data.2022-03.2457304/2220589
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-11.2647420/2220590
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-10.2623231/2220591
title: Data for EMSL Project 60276 from October 2022
DOI: 10.25582/data.2022-11.2647298/2220592
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647645/2220593
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-10.2624182/2220594
title: Data for EMSL Project 60276 from October 2022
DOI: 10.25582/data.2022-11.2647339/2220595
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647671/2220596
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647704/2220597
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2644506/2220598
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2644512/2220599
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647383/2220600
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2644537/2220601
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-10.2624769/2220602
title: Data for EMSL Project 60276 from October 2022
DOI: 10.25582/data.2022-03.2452868/2220603
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-11.2647426/2220604
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-02.2440039/2220605
title: Data for EMSL Project 60276 from February 2022
DOI: 10.25582/data.2022-11.2647406/2220606
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-03.2457337/2220607
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-03.2452980/2220608
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-03.2452899/2220609
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-11.2647744/2220610
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2644511/2220611
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647329/2220612
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-02.2440372/2220613
title: Data for EMSL Project 60276 from February 2022
DOI: 10.25582/data.2022-11.2642527/2220614
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647689/2220615
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-02.2439772/2220616
title: Data for EMSL Project 60276 from February 2022
DOI: 10.25582/data.2022-11.2647344/2220617
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647738/2220618
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2647364/2220619
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-03.2452901/2220620
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-11.2646432/2220621
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-03.2452894/2220622
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-03.2452996/2220623
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-11.2647706/2220624
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-02.2439221/2220625
title: Data for EMSL Project 60276 from February 2022
DOI: 10.25582/data.2022-03.2457386/2220626
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-11.2646008/2220627
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-03.2457330/2220628
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-03.2457310/2220629
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-03.2456970/2220630
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-11.2647631/2220631
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-11.2646541/2220632
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-02.2439392/2220633
title: Data for EMSL Project 60276 from February 2022
DOI: 10.25582/data.2022-03.2457291/2220634
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-03.2452973/2220635
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-11.2647780/2220636
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-03.2457387/2220637
title: Data for EMSL Project 60276 from March 2022
DOI: 10.25582/data.2022-11.2647775/2220638
title: Data for EMSL Project 60276 from November 2022
DOI: 10.25582/data.2022-03.2457373/2220639
title: Data for EMSL Project 60276 from March 2022