cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e107822v1-146387
title: Early Childhood Educational Settings and School Absenteeism for Children with Disabilities

description: Data from the Early Childhood Longitudinal Study Kindergarten Class of 2010–2011 were used to examine the implications of preschool and full-day kindergarten enrollment for the subsequent school absences of 2,056 children with disabilities.
description: There are a variety of weights available. See the ECLS-K: 2011 User's Guide for more details.
description: Representative sample of American kindergartners
description: Early Childhood Longitudinal Study Kindergarten Class of 2010–2011 is a nationally representative sample of American kindergartners.
DOI: 10.6073/pasta/6273598ee363e9d24f859804da904601
title: Inventory of soil prokaryotic and fungal microbiome (via 16S rRNA gene amplicons and ITS sequencing) from Shark River Slough and Taylor Slough, Everglades National Park (FCE LTER), Florida, USA, February 2019 - October 2020

description: Global sea-level rise is transforming coastal ecosystems, especially freshwater wetlands, in part due to increased saltwater exposure, leading to change in soil microbial communities and many important biogeochemical processes. Given the high spatial and temporal heterogeneity in coastal wetlands, especially in tropical or subtropical climates characterized by seasonal temperature, precipitation, and tidal fluctuations, it remains unclear which environmental factors influence the compositions of soil microbial communities in wetlands affected by varying degrees of sea-water intrusion. To address this, a two-year survey was conducted on microbial community structure in submerged surface soils from 14 wetland sites across the Florida Everglades, representing three major ecosystem types, i.e. freshwater marshes, mangrove forests, and seagrass meadows. Bulk surface soil samples of each site were collected from February 2019 to October 2020 to cover dry and wet seasons. In addition to bulk soil samples, soil cores were collected from each site in August 2020 to assess vertical gradients of microbial communities. The dataset contains amplicon sequencing data of 16S rRNA gene (both bulk soil and soil cores) and ITS gene (only the bulk soil). The 2019 to 2020 data are published in Zhao et al. 2023. A detailed list of sequence data and their accession numbers in GenBank is provided, and data collection is complete.
 This data package is an inventory of sequence read archive (SRA) entries available through GenBank BioProject PRJNA804243 (https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA804243), PRJNA804246 (https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA804246), and PRJNA804228 (https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA804228).
 This data package is associated with the following publication:
 Zhao, J., Chakrabarti, S., Chambers, R., Weisenhorn, P., Travieso, R., Stumpf, S., Standen, E., Briceno, H., Troxler, T., Gaiser, E., Kominoski, J., Dhillon, B., & Martens-Habbena, W. (2023). Year-around survey and manipulation experiments reveal differential sensitivities of soil prokaryotic and fungal communities to saltwater intrusion in Florida Everglades wetlands. Science of The Total Environment, 858, 159865. https://doi.org/10.1016/j.scitotenv.2022.159865
 Instead of citing this package, which is an inventory, please cite the original GenBank data or journal article, as appropriate. Citation guidance for the journal article is available on the respective publisher's website.
DOI: 10.5519/qd.p4sou2gw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (642 records)
DOI: 10.5519/qd.ybybr2ez
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (432 records)
DOI: 10.5281/zenodo.10626232
title: Experimental data for "Maximizing Patch Coverage for Testing of Highly-Configurable Software without Exploding Build Times"

description: Experimental Data for "Maximizing Patch Coverage for Testing of Highly-Configurable Software without Exploding Build Times"
DOI: 10.5281/zenodo.10626233
title: Experimental data for "Maximizing Patch Coverage for Testing of Highly-Configurable Software without Exploding Build Times"

description: Experimental Data for "Maximizing Patch Coverage for Testing of Highly-Configurable Software without Exploding Build Times"
DOI: 10.5519/qd.liop5qxd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2682 records)
DOI: 10.5281/zenodo.10685570
title: Supporting datasets for CNNs-lightning prediction paper

description: This repository contains supporting data for the manuscript titled "Predicting Cloud-to-Ground Lightning in the Western United States from the Large-Scale Environment using Explainable Neural Networks" by Kalashnikov et al. (2024). Please contact me with any questions at dmitri.kalashnikov@wsu.edu. -Dmitri
DOI: 10.5281/zenodo.10685690
title: online supplemental material (EELV for ARDS)
DOI: 10.5281/zenodo.10685691
title: online supplemental material (EELV for ARDS)
DOI: 10.5281/zenodo.7831141
title: Subduction within the Proto-Tethys Ocean revealed by recognition of the earliest Phanerozoic intra-oceanic arc, northern Tibetan Plateau

description: Analytical methods


Table S1. Whole-rock major (wt.%) and trace element (ppm) data for volcanic rocks in the Tuomoerrite area, North Qaidam belt.


Table S2. LA-ICP-MS zircon U-Pb data for dacites and gabbro in the Tuomoerrite area, North Qaidam belt.


Table S3. Zircon Lu-Hf isotopic data for Cambrian dacites and gabbro in the Tuomoerrite area, North Qaidam belt.


Table S4. Whole-rock Rb-Sr and Sm-Nd isotopic compositions for the volcanic rocks in the Tuomoerrite area, North Qaidam belt.
DOI: 10.5281/zenodo.7831142
title: Subduction within the Proto-Tethys Ocean revealed by recognition of the earliest Phanerozoic intra-oceanic arc, northern Tibetan Plateau

description: Analytical methods


Table S1. Whole-rock major (wt.%) and trace element (ppm) data for volcanic rocks in the Tuomoerrite area, North Qaidam belt.


Table S2. LA-ICP-MS zircon U-Pb data for dacites and gabbro in the Tuomoerrite area, North Qaidam belt.


Table S3. Zircon Lu-Hf isotopic data for Cambrian dacites and gabbro in the Tuomoerrite area, North Qaidam belt.


Table S4. Whole-rock Rb-Sr and Sm-Nd isotopic compositions for the volcanic rocks in the Tuomoerrite area, North Qaidam belt.
DOI: 10.5281/zenodo.10685686
title: DMG and Vitamin D Database

description: Database referring to the clinical trial with pregnant women diagnosed with GDM treated at a Public Maternity Hospital in Rio de Janeiro.
DOI: 10.5281/zenodo.10685687
title: DMG and Vitamin D Database

description: Database referring to the clinical trial with pregnant women diagnosed with GDM treated at a Public Maternity Hospital in Rio de Janeiro.
DOI: 10.6084/m9.figshare.25242676.v1
title: Data depository_CO2_Yeoetal

description: Estuaries play an important role in connecting the global carbon cycle across the land-to-ocean continuum, but little is known about Australia’s contribution to global CO<sub>2</sub> emissions. Here we present an Australia-wide assessment, based on CO<sub>2</sub> concentrations for 47 estuaries upscaled to 971 assessed Australian estuaries. We estimate total mean (±SE) estuary CO<sub>2</sub> emissions of 8.67 ±0.54 Tg CO<sub>2</sub>-C yr<sup>-1</sup>, with tidal systems, lagoons, and small deltas contributing 94.4%, 3.1% and 2.5%, respectively. Although higher disturbance increased water-air CO<sub>2</sub> fluxes, its effect on total Australian estuarine CO<sub>2</sub> emissions was small due to the large surface areas of low and moderately disturbed tidal systems. Mean water-air CO<sub>2</sub> fluxes from Australian small deltas and tidal systems were higher than from global estuaries because of the dominance of macrotidal subtropical and tropical systems in Australia, which have higher emissions due to lateral inputs. We suggest that global estuarine CO<sub>2</sub> emissions should be upscaled based on geomorphology, but should also consider land-use disturbance, and climate.
DOI: 10.5281/zenodo.10674769
title: Labeled river dataset for model training
DOI: 10.5281/zenodo.10674770
title: Labeled river dataset for model training
DOI: 10.5281/zenodo.10685712
title: Labeled river dataset for model training
DOI: 10.34944/dspace/9662
title: Performing Spirometry and Low Dose Chest CT to Screen for COPD Systematic Review Search Strategy

description: A summary of the search results from databases: PubMed (NLM) from inception to 11/17/2023 (650 Results) Embase (Elsevier) from 1974 to 11/17/2023 (1,849 Results) Cochrane Central (Wiley) from inception to 11/17/2023 (161 Results) CINAHL (EbscoHost) from 1982 to 11/17/2023 (36 Results) Web of Science Core Collection (Clarivate Analytics) from inception to 11/17/2023 (416 Results) The search resulted in 3,347 studies and 961 duplicate studies were found and omitted by the librarian the EndNote 20 and following the Wichor Bramer duplicate identification strategy. This resulted in 3,165 records to screen from databases or registers and 182 records to screen from other methods, resulting in a total of 2,386 records. Studies were screened by title and abstract by two blinded and independent reviewers. If a tiebreaker was needed, a third reviewer was called in. This process was repeated for full text article screening and article selection.
description: To identify studies to include or consider for this systematic review, the review team worked with a librarian (TN) to develop detailed search strategies for each database. The PRISMA-S extension was followed for search reporting. The librarian (TN) developed the search for PubMed (NLM) and translated the search for every database searched. The PubMed (NLM) search strategy was reviewed by the research team to check for accuracy and term relevancy. All final searches were peer-reviewed by another librarian (Jacob Brintzenhoff) following the Peer Review of Electronic Search Strategies (PRESS checklist). The databases included in this search are PubMed (NLM), Embase (Elsevier), Cochrane Central (Wiley), CINAHL (EbscoHost), and Web of Science (Clarivate Analytics), using a combination of keywords and subject headings. A grey literature search included two clinical trials registries, clinicaltrials.gov and WHO ICTRP (https://trialsearch.who.int/), and the pre-print MedRxiv (https://www.medrxiv.org/). The search was limited to English language and to adults. All final searches were performed on November 17, 2023 by the librarian (TN) and were fully reported on November 21, 2023. The full search strategies as reported by the librarian are provided in Appendix(___). They are also archived at [DOI].
DOI: 10.34622/datarepositorium/h0rcic
title: Média Sociais do Museu Virtual da Lusofonia

description: O Museu Virtual da Lusofonia (https://www.museuvirtualdalusofonia.com/) é uma plataforma de cooperação académica, em ciência, ensino e artes, no espaço dos países de língua portuguesa e das suas diásporas. Tem perfis no Instagram e no Facebook desde dezembro de 2021. Desde aí, em cada uma destas plataformas, têm sido recolhidos dados públicos em torno dos seguidores. Em relação à média de interações por publicação, em cada mês, foram feitas as médias aritméticas simples referentes à quantidade de gostos, partilhas e comentários, considerando o número de publicações. Ressaltamos que a divulgação nos média sociais do Museu Virtual da Lusofonia teve início ao longo do mês de dezembro de 2021, motivo pelo qual não apresentamos a média aritmética referente a este mês especificamente.
DOI: 10.5517/ccdc.csd.cc2g2b52
title: CCDC 2266353: Experimental Crystal Structure Determination

description: Related Article: Jing-Jing Wang, Li-Zhe Feng, Guangyi Shi, Jun-Nan Yang, Yi-Da Zhang, Huaiyu Xu, Kuang-Hui Song, Tian Chen, Guozhen Zhang, Xu-Sheng Zheng, Fengjia Fan, Zhengguo Xiao, Hong-Bin Yao |2023|Nat.Photo.|18|200|doi:10.1038/s41566-023-01340-8
description: Related Article: Jingjing Wang|2023|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: 10.5517/ccdc.csd.cc2h9k8n
title: CCDC 2303091: Experimental Crystal Structure Determination

description: Related Article: Wenwen Wei, Ai Wang, Liping Lu, Caixia Yuan, Sisi Feng, Ulli Englert, Shengqian Ma|2024|Dalton Trans.|53|3825|doi:10.1039/D3DT04118B
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: 10.5517/ccdc.csd.cc2h9k9p
title: CCDC 2303092: Experimental Crystal Structure Determination

description: Related Article: Wenwen Wei, Ai Wang, Liping Lu, Caixia Yuan, Sisi Feng, Ulli Englert, Shengqian Ma|2024|Dalton Trans.|53|3825|doi:10.1039/D3DT04118B
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: 10.5517/ccdc.csd.cc2h9kbq
title: CCDC 2303093: Experimental Crystal Structure Determination

description: Related Article: Wenwen Wei, Ai Wang, Liping Lu, Caixia Yuan, Sisi Feng, Ulli Englert, Shengqian Ma|2024|Dalton Trans.|53|3825|doi:10.1039/D3DT04118B
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: 10.5517/ccdc.csd.cc2h9kcr
title: CCDC 2303094: Experimental Crystal Structure Determination

description: Related Article: Wenwen Wei, Ai Wang, Liping Lu, Caixia Yuan, Sisi Feng, Ulli Englert, Shengqian Ma|2024|Dalton Trans.|53|3825|doi:10.1039/D3DT04118B
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: 10.5517/ccdc.csd.cc28tmb2
title: CCDC 2109994: Experimental Crystal Structure Determination

description: Related Article: X. Zhu, Z. Jiang, Z. Liu|2024|IUCrData|9|x240137|doi:10.1107/S2414314624001378
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: 10.7910/dvn/ymlx2m
title: Replication Data for: What Determines Effectiveness of Renewable Energy Standards? General Equilibrium Analytical Model and Empirical Analysis

description: Data and programs necessary to replicate empirical results in Fullerton, Don, and Chi Ta. 2024. What Determines Effectiveness of Renewable Energy Standards? General Equilibrium Analytical Model and Empirical Analysis
DOI: 10.25582/data.2022-09.2606860/1933401
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2607278/1933403
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606408/1933404
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606324/1933405
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606865/1933409
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2607381/1933413
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2023-02.2744367/1933957
title: Data for EMSL Project 51583 from February 2023
DOI: 10.25582/data.2022-09.2607418/1934373
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606842/1934381
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2607398/1934384
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606935/1934386
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606687/1934388
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606892/1934390
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606849/1934394
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606688/1934404
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606921/1934406
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606545/1934411
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606585/1934424
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606281/1934426
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2607397/1934432
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606715/1934433
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606472/1934440
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606471/1934444
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606299/1934450
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606493/1934457
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606610/1934458
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606596/1934460
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606879/1934461
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606293/1934462
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606826/1934465
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606304/1935119
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2607402/1935121
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606525/1935124
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606586/1935132
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606496/1935134
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606523/1935137
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606902/1935139
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2607374/1935140
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606347/1935143
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606876/1935147
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606872/1935154
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606566/1935155
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606804/1935161
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606595/1935163
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606692/1935164
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2607394/1935168
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606832/1935169
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606328/1935180
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606575/1935184
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606536/1935186
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2607419/1935189
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606691/1935190
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606517/1936581
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606567/1936582
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606844/1936583
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606424/1936587
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606436/1936588
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606306/1936597
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2607367/1936599
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606868/1936600
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606497/1936601
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606423/1936603
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606476/1936604
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606609/1936606
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606336/1936608
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606854/1936614
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2607089/1936617
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606475/1936618
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606818/1936624
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2607271/1936627
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606474/1936631
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606900/1936634
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606857/1936637
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606890/1936639
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606290/1936645
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2607417/1936646
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606893/1936647
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606370/1936652
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606280/1936653
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606544/1936654
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2607384/1936656
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606407/1936658
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606491/1936664
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606473/1936665
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606434/1936666
title: Data for EMSL Project 50581 from September 2022
DOI: 10.25582/data.2022-09.2606933/1936669
title: Data for EMSL Project 50581 from September 2022