cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10152632
title: Characterizing Code Clones from Large Language Models Dataset and Scripts

description: characterizing_code_clones_data.zip: This dataset contains a collection of code snippets generated by Large Language Models (LLMs) such as GPT-3.5 and GPT-4 in response to specific programming prompts derived from LeetCode. Each sub-directory within the dataset corresponds to a particular LLM version and contains code snippets, preprocessed data, and SLACC input files. 
characterizing_code_clones_project.zip: 
This zipped directory encompasses the core scripts and results used in the "Characterizing Code Clones of LLMs" research. It features the Python script collect_samples.py for collecting LLM-generated code snippets, as well as a suite of scripts in the slacc_scripts sub-directory for processing and analyzing the data using SLACC. The directory also includes the results of the LeetCode test suites, providing insights into the correctness and efficiency of the code generated by GPT-3.5 and GPT-4.
DOI: 10.5281/zenodo.8207074
title: Artifact for An Extensive Empirical Study of Nondeterministic Behavior in Static Analysis Tools

description: The artifact for An Extensive Empirical Study of Nondeterministic Behavior in Static Analysis Tools containing the data and scripts used to answer both research question 1 and research question 2.
DOI: 10.34740/kaggle/ds/4019122
title: 📌 1.3 Million Pinterest App Google Store Reviews
DOI: 10.34740/kaggle/dsv/6992568
title: WallStreetBets 2022
DOI: 10.57841/casdc.0003122
title: 湿度对离心压缩机性能影响的理论与实验研究
DOI: 10.57841/casdc.0003123
title: 压缩空气储能系统的有限时间热力学特性
DOI: 10.5281/zenodo.10152767
title: PRS_raw.data_SSc_GWAS

description: Raw data of PRS generated in the manuscript. Detailed information of each file is available in README.txt.
DOI: 10.5281/zenodo.10152768
title: PRS_raw.data_SSc_GWAS

description: Raw data of PRS generated in the manuscript. Detailed information of each file is available in README.txt.
DOI: 10.57841/casdc.0003124
title: 压缩空气储能带进气室扩压器的轴流涡轮流动特性
DOI: 10.57841/casdc.0003125
title: 压缩空气储能系统的解析及优化
DOI: 10.57841/casdc.0003126
title: 一种改进的涡轮多排叶片的反问题方法
DOI: 10.57841/casdc.0003127
title: 适用于大规模压缩空气储能系统离心压缩机设计
DOI: 10.57841/casdc.0003128
title: 叶尖泄漏流对压缩空气储能向心涡轮磨蚀的影响
DOI: 10.57841/casdc.0003129
title: 轴流涡轮转子与扩压器匹配参数对流动损失特性影响
DOI: 10.5517/ccdc.csd.cc2h47nk
title: CCDC 2297988: Experimental Crystal Structure Determination

description: Related Article: Yukihiro Murata, Cihan Özen, Satoshi Maeda, Takanori Fukushima, Yoshiaki Shoji|2023|Chem.Commun.|59|13635|doi:10.1039/D3CC04830F
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.cc2h47pl
title: CCDC 2297989: Experimental Crystal Structure Determination

description: Related Article: Yukihiro Murata, Cihan Özen, Satoshi Maeda, Takanori Fukushima, Yoshiaki Shoji|2023|Chem.Commun.|59|13635|doi:10.1039/D3CC04830F
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.cc2g901v
title: CCDC 2272766: Experimental Crystal Structure Determination

description: Related Article: Richa Garg, Farhan Anjum, Abdul Salam, Kush Kaushik, Shagun Sharma, Udisha Sahrawat, Aditya Yadav, Chayan Kanti Nandi|2023|Chem.Commun.|59|13454|doi:10.1039/D3CC03390B
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.cc2fybh7
title: CCDC 2262519: Experimental Crystal Structure Determination

description: Related Article: Naoya Kinoshita, Atsuya Maruyama, Takashi Shirahata, Toshio Naito, Yohji Misaki|2023|Chem.Commun.|59|13575|doi:10.1039/D3CC03198E
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.cc2h5svb
title: CCDC 2299482: Experimental Crystal Structure Determination

description: Related Article: Zheng-Hui Hu, Xin-Yu Liu, Shu-Qi Sun, Chen Gong, Nuo Liu, Ji-Xing Gao|2023|J.Mater.Chem.C|11|13675|doi:10.1039/D3TC02873A
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.cc2fybj8
title: CCDC 2262520: Experimental Crystal Structure Determination

description: Related Article: Naoya Kinoshita, Atsuya Maruyama, Takashi Shirahata, Toshio Naito, Yohji Misaki|2023|Chem.Commun.|59|13575|doi:10.1039/D3CC03198E
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.cc2fybk9
title: CCDC 2262521: Experimental Crystal Structure Determination

description: Related Article: Naoya Kinoshita, Atsuya Maruyama, Takashi Shirahata, Toshio Naito, Yohji Misaki|2023|Chem.Commun.|59|13575|doi:10.1039/D3CC03198E
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.cc2h5vbw
title: CCDC 2299528: Experimental Crystal Structure Determination

description: Related Article: Naoya Kinoshita, Atsuya Maruyama, Takashi Shirahata, Toshio Naito, Yohji Misaki|2023|Chem.Commun.|59|13575|doi:10.1039/D3CC03198E
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.cc2gw7by
title: CCDC 2290290: Experimental Crystal Structure Determination

description: Related Article: Seulgi Kim, Shim Sung Lee, Joon Rae Kim, Eunji Lee|2023|CrystEngComm|25|6096|doi:10.1039/D3CE00886J
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.cc2gks1w
title: CCDC 2281198: Experimental Crystal Structure Determination

description: Related Article: Luyao Wang, Tingting Liu, Jiawei Cheng, Huiqi Zou, Jing Lu, Houting Liu, Yunwu Li, Jianmin Dou, Suna Wang|2024|J.Mol.Struct.|1296|136815|doi:10.1016/j.molstruc.2023.136815
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: 10.57841/casdc.0003130
title: NACA叶型提高CAES低展弦比向心涡轮效率研究
DOI: 10.25345/c5f47h49x
title: MassIVE MSV000093426 - GNPS- LC-MS/MS datafiles of neovibsane diterpenoids
title: This is the LC-MS/MS data of neovibsane diterpenoids for GNPS.
DOI: 10.57841/casdc.0003131
title: 压缩空气储能闭式向心涡轮损失分析
DOI: 10.57841/casdc.0003132
title: 超临界空气离心压缩机湿压缩数值研究
DOI: 10.57841/casdc.0003133
title: 流场物理量协同效应及其在向心涡轮中的应用
DOI: 10.57841/casdc.0003134
title: 认高价铁是Fe、V型偶联双金属电催化剂上水氧化的高活性物质：X射线吸收和Mössbauer光谱的原位分析数据集
DOI: 10.57841/casdc.0003135
title: 闭式向心涡轮流动特性和损失机理协同分析
DOI: 10.57841/casdc.0003136
title: 内流阻力协同分析及其在轴流涡轮中的应用
DOI: 10.57841/casdc.0003137
title: 透平机械内流协同分析法
DOI: 10.57841/casdc.0003138
title: 湿压缩对压缩空气储能系统离心压缩机的影响
DOI: 10.57841/casdc.0003139
title: 高负荷轴流压气机多排叶片反问题设计方法
DOI: 10.57841/casdc.0003140
title: 跨声速压气机数值模拟格式效应研究
DOI: 10.57841/casdc.0003141
title: 轮盘空腔-密封气对CAES向心涡轮变工况流动损失的影响
DOI: 10.57841/casdc.0003142
title: 三维叶轮机叶片黏性反问题设计改进方法
DOI: 10.57841/casdc.0003143
title: 基于局部熵产理论的超低比转速离心泵优化水利设计
DOI: 10.6084/m9.figshare.24073377
title: Test data

description: Test data
DOI: 10.6084/m9.figshare.24073377.v2
title: Test data

description: Test data
DOI: 10.6084/m9.figshare.24073377.v1
title: Test data

description: Test data
DOI: 10.5281/zenodo.10008052
title: Population impact of fine particulate matter on tuberculosis risk in China: A causal inference

description: Supplementary to "Population impact of fine particulate matter on tuberculosis risk in China: A causal inference"
DOI: 10.5281/zenodo.10008053
title: Population impact of fine particulate matter on tuberculosis risk in China: A causal inference

description: Supplementary to "Population impact of fine particulate matter on tuberculosis risk in China: A causal inference"
DOI: 10.5281/zenodo.10020179
title: Population impact of fine particulate matter on tuberculosis risk in China: A causal inference

description: Supplementary to "Population impact of fine particulate matter on tuberculosis risk in China: A causal inference"
DOI: 10.5281/zenodo.10151162
title: Artifact for An Extensive Empirical Study of Nondeterministic Behavior in Static Analysis Tools

description: This repository contains data for 'An Extensive Empirical Study of Nondeterministic Behavior in Static Analysis Tools' and the source code of the tool NDDetector that is used for performing the experiments in RQ2.
There are two directories, data and tool:
<data> contains the data for the conclusion made in the two research questions, RQ1 and RQ2. (rq1 is Research Question 1s data)
In rq1/ there are:
final_results.csv - Contains 43 distinct results from 4 repositories (SOOT, WALA, FlowDroid, DroidSafe) that fix or report nondeterminism.
summary.pdf - Reports the number of nondeterminism results by tool repository at each stage of the qualitative study.
categorization.pdf - Reports the number of nondeterminism results by root cause categories at each component of analysis codebase in which the nondeterminism takes place
raw_data.zip - Contains the raw commits and issues extracted from 9 repositories (SOOT, DOOP, WALA, FlowDroid, DroidSafe, AmanDroid, TAJS, Code2Flow, PyCG)
key_words_results.zip - Contains the results extracted by each keyword (concurrency, concurrent, consistent, determinism, deterministic, different, flakiness, flaky, parallel, thread) from the raw data.
In rq2/ there are:
ICSE2024_AGGREGATE_DATA.csv - Contains the result distributions of each combination of target program, configuration hash, and tool aswell as the calculated consistency score.
analyze_results.py - Script that makes this data.
node_freqs - Contains the frequency of each node in the nondeterministic results we observed,it also keeps track of whether this particular node is a callee or caller or source/sink.
edge_dists - Contains the actual edge distributions of all of our results that behaved nondeterministically. it contains, for each result (edge/flow) across repetitions, which repetitions did or did not contain this edge/flow and which did. This means if you are interested in the actual differences across results generated by tool edge_dists/ is the place to look.
figure_8 - The raw data and occurences per node sheet for generating Figure_8.
<tool> contains the framework and its source code that we used for conducting the experiments as well as the scripts that are used to post-process the detected nondeterminstic behavior and generate the summarized results in Section 4.
DOI: 10.5281/zenodo.8207073
title: Artifact for An Extensive Empirical Study of Nondeterministic Behavior in Static Analysis Tools

description: This repository contains data for 'An Extensive Empirical Study of Nondeterministic Behavior in Static Analysis Tools' and the source code of the tool NDDetector that is used for performing the experiments in RQ2.
There are two directories, data and tool:
<data> contains the data for the conclusion made in the two research questions, RQ1 and RQ2. (rq1 is Research Question 1s data)
In rq1/ there are:
final_results.csv - Contains 43 distinct results from 4 repositories (SOOT, WALA, FlowDroid, DroidSafe) that fix or report nondeterminism.
summary.pdf - Reports the number of nondeterminism results by tool repository at each stage of the qualitative study.
categorization.pdf - Reports the number of nondeterminism results by root cause categories at each component of analysis codebase in which the nondeterminism takes place
raw_data.zip - Contains the raw commits and issues extracted from 9 repositories (SOOT, DOOP, WALA, FlowDroid, DroidSafe, AmanDroid, TAJS, Code2Flow, PyCG)
key_words_results.zip - Contains the results extracted by each keyword (concurrency, concurrent, consistent, determinism, deterministic, different, flakiness, flaky, parallel, thread) from the raw data.
In rq2/ there are:
ICSE2024_AGGREGATE_DATA.csv - Contains the result distributions of each combination of target program, configuration hash, and tool aswell as the calculated consistency score.
analyze_results.py - Script that makes this data.
node_freqs - Contains the frequency of each node in the nondeterministic results we observed,it also keeps track of whether this particular node is a callee or caller or source/sink.
edge_dists - Contains the actual edge distributions of all of our results that behaved nondeterministically. it contains, for each result (edge/flow) across repetitions, which repetitions did or did not contain this edge/flow and which did. This means if you are interested in the actual differences across results generated by tool edge_dists/ is the place to look.
figure_8 - The raw data and occurences per node sheet for generating Figure_8.
<tool> contains the framework and its source code that we used for conducting the experiments as well as the scripts that are used to post-process the detected nondeterminstic behavior and generate the summarized results in Section 4.
DOI: 10.5519/qd.pf54co29
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (24 records)
DOI: 10.15485/1998580
title: The dataset of in-situ measurements of chemically and radiatively important atmospheric gases from the Advanced Global Atmospheric Gas Experiment (AGAGE) and affiliated stations (2023R1)

description: In the ALE/GAGE/AGAGE global network program, continuous high frequency gas chromatographic measurements of four biogenic/anthropogenic gases (methane, CH4; nitrous oxide, N2O; hydrogen, H2; and carbon monoxide, CO) and several anthropogenic gases that contribute to stratospheric ozone destruction and/or to the greenhouse effect have been carried out at five globally distributed sites for several years. The program, which began in 1978, is divided into three parts associated with three changes in instrumentation: the Atmospheric Lifetime Experiment (ALE), which used Hewlett Packard HP5840 gas chromatographs; the Global Atmospheric Gases Experiment (GAGE), which used HP5880 gas chromatographs; and the present Advanced GAGE (AGAGE). AGAGE uses two types of instruments: a gas chromatograph with multiple detectors (GC-MD), and a gas chromatograph with mass spectrometric analysis (GC-MS). Beginning in January 2004, an improved cryogenic preconcentration system (Medusa) replaced the absorption-desorption module in the GC-MS systems at Mace Head and Cape Grim; this provided improved capability to measure a broader range of volatile perfluorocarbons with high global warming potentials. The Medusa GC-MS systems were subsequently used at other AGAGE stations (Trinidad Head, Barbados, American Samoa, Zeppelin, Jungfraujoch, and Goan) after the initial setup at Mace Head and Cape Grim. More information may be found on the AGAGE home page: https://agage.mit.edu/instruments.Data from the AGAGE and affiliated stations (total of 10 sites) between August 1993 and June 2022 are provided in “Agage_gcmd_gcms_data_2023_07_24.tar.gz” (compressed tar file). The metadata file has information on each station and currently released species. The standard scales used in archived species are listed in "AGAGE_scale_2023_v1.pdf". Additional information can be found on the AGAGE website (https://agage.mit.edu).
DOI: 10.5517/ccdc.csd.cc285yl0
title: CCDC 2091092: Experimental Crystal Structure Determination

description: Related Article: Vitaly V. Shorokhov, Sergey S. Zhokhov, Victor B. Rybakov, Maksim A. Boichenko, Ivan A. Andreev, Nina K. Ratmanova, Igor V. Trushkov, Olga A. Ivanova|2023|Org.Lett.|25|7963|doi:10.1021/acs.orglett.3c02846
description: Related Article: Victor B. Rybakov, Vitaly V. Shorokhov, Sergey S. Zhokhov, Olga A. Ivanova, Igor V. Trushkov|2021|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.cc297tp2
title: CCDC 2122684: Experimental Crystal Structure Determination

description: Related Article: Victor B. Rybakov, Vitaly V. Shorokhov, Sergey S. Zhokhov, Olga A. Ivanova, Igor V. Trushkov|2021|CSD Communication|||
description: Related Article: Vitaly V. Shorokhov, Sergey S. Zhokhov, Victor B. Rybakov, Maksim A. Boichenko, Ivan A. Andreev, Nina K. Ratmanova, Igor V. Trushkov, Olga A. Ivanova|2023|Org.Lett.|25|7963|doi:10.1021/acs.orglett.3c02846
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.cc297vt7
title: CCDC 2122719: Experimental Crystal Structure Determination

description: Related Article: Victor B. Rybakov, Vitaly V. Shorokhov, Sergey S. Zhokhov, Olga A. Ivanova, Igor V. Trushkov|2021|CSD Communication|||
description: Related Article: Vitaly V. Shorokhov, Sergey S. Zhokhov, Victor B. Rybakov, Maksim A. Boichenko, Ivan A. Andreev, Nina K. Ratmanova, Igor V. Trushkov, Olga A. Ivanova|2023|Org.Lett.|25|7963|doi:10.1021/acs.orglett.3c02846
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.cc299b21
title: CCDC 2124122: Experimental Crystal Structure Determination

description: Related Article: Victor B. Rybakov, Vitaly V. Shorokhov, Sergey S. Zhokhov, Olga A. Ivanova, Igor V. Trushkov|2021|CSD Communication|||
description: Related Article: Vitaly V. Shorokhov, Sergey S. Zhokhov, Victor B. Rybakov, Maksim A. Boichenko, Ivan A. Andreev, Nina K. Ratmanova, Igor V. Trushkov, Olga A. Ivanova|2023|Org.Lett.|25|7963|doi:10.1021/acs.orglett.3c02846
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.cc29jdlv
title: CCDC 2130927: Experimental Crystal Structure Determination

description: Related Article: Vitaly V. Shorokhov, Sergey S. Zhokhov, Victor B. Rybakov, Maksim A. Boichenko, Ivan A. Andreev, Nina K. Ratmanova, Igor V. Trushkov, Olga A. Ivanova|2023|Org.Lett.|25|7963|doi:10.1021/acs.orglett.3c02846
description: Related Article: Victor B. Rybakov, Vitaly V. Shorokhov, Sergey S. Zhokhov, Olga A. Ivanova, Igor V. Trushkov|2021|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: 10.21947/2205481
title: Virtual Tower / Processed Data

description: The AWAKEN Dual-Doppler Lidar (ADDLidar) campaign involved the deployment of two Halo XR+ scanning Doppler lidars at AWAKEN sites A5 and A7. Virtual tower measurements were performed from 12 November 2022 until 17 October 2023.
DOI: 10.25582/data.2022-11.2635016/2211047
title: Data for EMSL Project 51287 from November 2022
DOI: 10.25582/data.2022-07.2557103/2212879
title: Data for EMSL Project 60255 from July 2022
DOI: 10.25582/data.2022-07.2558659/2212880
title: Data for EMSL Project 60255 from July 2022
DOI: 10.25582/data.2022-07.2555675/2212881
title: Data for EMSL Project 60255 from July 2022
DOI: 10.25582/data.2022-07.2556661/2212882
title: Data for EMSL Project 60255 from July 2022
DOI: 10.25582/data.2022-07.2556748/2212883
title: Data for EMSL Project 60255 from July 2022
DOI: 10.25582/data.2022-07.2557010/2212884
title: Data for EMSL Project 60255 from July 2022
DOI: 10.25582/data.2022-07.2559276/2212885
title: Data for EMSL Project 60255 from July 2022
DOI: 10.25582/data.2022-07.2560404/2212886
title: Data for EMSL Project 60255 from July 2022
DOI: 10.25582/data.2022-07.2565482/2212887
title: Data for EMSL Project 60255 from July 2022
DOI: 10.25582/data.2022-07.2565382/2212888
title: Data for EMSL Project 60255 from July 2022
DOI: 10.25582/data.2022-07.2556023/2212889
title: Data for EMSL Project 60255 from July 2022
DOI: 10.25582/data.2022-07.2556282/2212890
title: Data for EMSL Project 60255 from July 2022
DOI: 10.25582/data.2022-07.2565440/2212891
title: Data for EMSL Project 60255 from July 2022
DOI: 10.25582/data.2022-07.2565057/2212892
title: Data for EMSL Project 60255 from July 2022
DOI: 10.25582/data.2022-07.2560360/2212893
title: Data for EMSL Project 60255 from July 2022
DOI: 10.25582/data.2022-07.2556944/2212894
title: Data for EMSL Project 60255 from July 2022
DOI: 10.25582/data.2022-07.2556749/2212895
title: Data for EMSL Project 60255 from July 2022
DOI: 10.25582/data.2022-07.2565345/2212896
title: Data for EMSL Project 60255 from July 2022
DOI: 10.25582/data.2022-07.2556781/2212897
title: Data for EMSL Project 60255 from July 2022