cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7865327
title: Supplementary materials for: Actually accessible data: An update and a call to action

description: These are the supplementary materials for the article "Actually Accessible Data: An Update and a Call to Action." The project contains three files: Colon-Karcher-Goben_Accessibility-of-Popular-Data-Repositories.xlsx shows the results of automated accessibility checks of seven popular data repositories in the United States and Europe. For each repository a search or browse page as well as a typical dataset landing page were selected and checked with two prominent accessibility tools AXE (https://www.deque.com/axe/) and WAVE (https://wave.webaim.org/). Checks were initially performed in Spring 2022. The reported (mostly unchanged) results are from tests on April 25, 2023. They were performed using Firefox 112.0.2 for Windows with both browser add-ons installed, AXE v. 4.6.3, WAVE v. 3.2. Colon-Goben-Karcher_Acessibility-FLOSS-Repositories.xlsx describes the treatment of digital accessibility in the developer-oriented documentation of six popular open-source (data) repository software projects. The project documentation was reviewed by two researchers with a background in open source software (Karcher as well as a graduate assistant at the Qualitative Data Repository) who looked for specific sections on accessibility and also used search terms to identify relevant sections. This document reflects the status as of April 2022. Colon-Goben-Karcher_Search-Strategies.docx Briefly discusses the literature search strategies conducted for relevant literature. Initial searches in Google Scholar and Scopus were performed in March-April 2022. Additional searches in LISTA are from March-April 2023.
description: Karcher's work is funded by the US National Science Foundation, grants 1823950 and 2116935
DOI: 10.5281/zenodo.7865328
title: Supplementary materials for: Actually accessible data: An update and a call to action

description: These are the supplementary materials for the article "Actually Accessible Data: An Update and a Call to Action." The project contains three files: Colon-Karcher-Goben_Accessibility-of-Popular-Data-Repositories.xlsx shows the results of automated accessibility checks of seven popular data repositories in the United States and Europe. For each repository a search or browse page as well as a typical dataset landing page were selected and checked with two prominent accessibility tools AXE (https://www.deque.com/axe/) and WAVE (https://wave.webaim.org/). Checks were initially performed in Spring 2022. The reported (mostly unchanged) results are from tests on April 25, 2023. They were performed using Firefox 112.0.2 for Windows with both browser add-ons installed, AXE v. 4.6.3, WAVE v. 3.2. Colon-Goben-Karcher_Acessibility-FLOSS-Repositories.xlsx describes the treatment of digital accessibility in the developer-oriented documentation of six popular open-source (data) repository software projects. The project documentation was reviewed by two researchers with a background in open source software (Karcher as well as a graduate assistant at the Qualitative Data Repository) who looked for specific sections on accessibility and also used search terms to identify relevant sections. This document reflects the status as of April 2022. Colon-Goben-Karcher_Search-Strategies.docx Briefly discusses the literature search strategies conducted for relevant literature. Initial searches in Google Scholar and Scopus were performed in March-April 2022. Additional searches in LISTA are from March-April 2023.
description: Karcher's work is funded by the US National Science Foundation, grants 1823950 and 2116935
DOI: 10.5281/zenodo.7968784
title: Supplementary materials for: Actually accessible data: An update and a call to action

description: These are the supplementary materials for the article "Actually Accessible Data: An Update and a Call to Action." The project contains three files: Colon-Karcher-Goben_Accessibility-of-Popular-Data-Repositories.xlsx shows the results of automated accessibility checks of seven popular data repositories in the United States and Europe. For each repository a search or browse page as well as a typical dataset landing page were selected and checked with two prominent accessibility tools AXE (https://www.deque.com/axe/) and WAVE (https://wave.webaim.org/). Checks were initially performed in Spring 2022. The reported (mostly unchanged) results are from tests on April 25, 2023. They were performed using Firefox 112.0.2 for Windows with both browser add-ons installed, AXE v. 4.6.3, WAVE v. 3.2. Colon-Goben-Karcher_Acessibility-FLOSS-Repositories.xlsx describes the treatment of digital accessibility in the developer-oriented documentation of six popular open-source (data) repository software projects. The project documentation was reviewed by two researchers with a background in open source software (Karcher as well as a graduate assistant at the Qualitative Data Repository) who looked for specific sections on accessibility and also used search terms to identify relevant sections. This document reflects the status as of April 2022. Colon-Goben-Karcher_Search-Strategies.docx Briefly discusses the literature search strategies conducted for relevant literature. Initial searches in Google Scholar and Scopus were performed in March-April 2022. Additional searches in LISTA are from March-April 2023.
description: Karcher's work is funded by the US National Science Foundation, grants 1823950 and 2116935
DOI: 10.5281/zenodo.7787470
title: WilkinsonAFIRdb and related

description: Databases for all data related to the article: "Challenges for Kinetics Predictions via Neural Network Potentials: a Wilkinson’s catalyst case" Each dataset was created with ASE db, and can be explored with: <pre><code class="language-python">import ase.db with ase.db.connect(db_path) as db: for row in db.select(): atoms = row.toatoms() # ASE Atoms object data = row.data # Diverse information (energy, gradients and dipole, at DFT, xTB [and NNP or NNP(+xTB)], geometry type, reaction path network connection, ...)</code></pre> Data labels: data['energy']: DFT energy [eV] data['gradients']: DFT gradients [eV/A] data['dipole']: DFT dipole [Debye] data['xTB']['GFN2-xTB']['energy']: xTB energy [eV] (when available) data['xTB']['GFN2-xTB']['gradients']: xTB gradients [eV/A] (when available) data['xTB']['GFN2-xTB']['dipole']: xTB dipole [Debye] (when available) data['E_pred']: Prediction energy [eV] (NNP, NNP(+xTB), xTB, depending on the dataset), if available data['grad_pred']: Prediction gradients [eV/A] data['dipole_pred']: Prediction gradients [Debye] data['geo_type']: Type of geometry ('EQ': Equilibrium state, 'TS': Transition state, 'NODE': intermediary geometry, 'TSEQ': barrier-less TS [both path top and path endpoint]) data['EQ_id']: GRRM EQ number (sort of exploration timestamp on EQs), when available data['TS_id']: GRRM path number (exploration timestamp on paths), when available data['node_id']: Position in path, when available Datasets: WilkinsonAFIRdb.db: DFT-powered AFIR-based search data pureNNP_20%_dataset.zip: train/val/test data from NNP model trained on the first 20% of DFT paths explored pureNNP_50%_dataset.zip: train/val/test data from NNP model trained on the first 50% of DFT paths explored pureNNP_80%_dataset.zip: train/val/test data from NNP model trained on the first 80% of DFT paths explored pureNNP_20%_localSearch.db: local NNP-powered AFIR-based search data, using NNP model trained on the first 20% of DFT paths explored pureNNP_50%_localSearch.db: local NNP-powered AFIR-based search data, using NNP model trained on the first 50% of DFT paths explored pureNNP_80%_localSearch.db: local NNP-powered AFIR-based search data, using NNP model trained on the first 80% of DFT paths explored NNPxTB_20%_localSearch: local NNP-powered AFIR-based search data, using NNP(+xTB) model trained on the first 20% of DFT paths explored NNPxTB_50%_localSearch: local NNP-powered AFIR-based search data, using NNP(+xTB) model trained on the first 50% of DFT paths explored NNPxTB_80%_localSearch: local NNP-powered AFIR-based search data, using NNP(+xTB) model trained on the first 80% of DFT paths explored xTB_localSearch: xTB-powered AFIR-based search data NNPxTB_20%_globalSearch: global/full NNP-powered AFIR-based search data, using NNP(+xTB) model trained on the first 20% of DFT paths explored NNPxTB_50%_globalSearch: global/full NNP-powered AFIR-based search data, using NNP(+xTB) model trained on the first 50% of DFT paths explored Note: DFT level of theory is RωB97X-D/Def2-SVP
DOI: 10.6084/m9.figshare.23166686
title: PROMISE.rar

description: Dataset
DOI: 10.6084/m9.figshare.23166686.v1
title: PROMISE.rar

description: Dataset
DOI: 10.57841/casdc.0001030
title: 202212SY522海试数据
DOI: 10.57841/casdc.0001031
title: 202212SY523海试数据
DOI: 10.57841/casdc.0001032
title: 202204首次海试数据
DOI: 10.57841/casdc.0001033
title: 202110太湖陆基测试数据
DOI: 10.5281/zenodo.7968845
title: X-COBOL: A Dataset of COBOL Repositories

description: Despite being proposed as early as 1959, COBOL (Common Business-Oriented Language) still predominantly acts as an integral part of the majority of operations of several financial, banking, and governmental organizations. To support the inevitable modernization and maintenance of legacy systems written in COBOL, it is essential for organizations, researchers, and developers to understand the nature and source code of COBOL programs. However, to the best of our knowledge, we are unaware of any dataset that provides data on COBOL software projects, motivating the need for the dataset. Thus, to aid empirical research on comprehending COBOL in open-source repositories, we constructed a dataset of 84 COBOL repositories mined from GitHub, containing rich metadata on the development cycle of the projects. We envision that researchers can utilize our dataset to study COBOL projects' evolution, code properties and develop tools to support their development. Our dataset also provides 1255 COBOL files present inside the mined repositories.
DOI: 10.5281/zenodo.7968844
title: X-COBOL: A Dataset of COBOL Repositories

description: Despite being proposed as early as 1959, COBOL (Common Business-Oriented Language) still predominantly acts as an integral part of the majority of operations of several financial, banking, and governmental organizations. To support the inevitable modernization and maintenance of legacy systems written in COBOL, it is essential for organizations, researchers, and developers to understand the nature and source code of COBOL programs. However, to the best of our knowledge, we are unaware of any dataset that provides data on COBOL software projects, motivating the need for the dataset. Thus, to aid empirical research on comprehending COBOL in open-source repositories, we constructed a dataset of 84 COBOL repositories mined from GitHub, containing rich metadata on the development cycle of the projects. We envision that researchers can utilize our dataset to study COBOL projects' evolution, code properties and develop tools to support their development. Our dataset also provides 1255 COBOL files present inside the mined repositories.
DOI: 10.6084/m9.figshare.23154923.v1
title: Datafiles

description: These are all of the datafiles use to produce the figures and data reported in the manuscript.
DOI: 10.6084/m9.figshare.23166755
title: 30s Bosco Jump Data

description: Force-Time Data for all 30s Bosco jump trials
DOI: 10.6084/m9.figshare.23167625
title: Additional file 1 of The Rapid Arterial oCclusion Evaluation (RACE) scale accuracy for diagnosis of acute ischemic stroke in emergency department – A multicenter study

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.23167630
title: Additional file 1 of Genome sequence of Ophryocystis elektroscirrha, an apicomplexan parasite of monarch butterflies: cryptic diversity and response to host-sequestered plant chemicals

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.23167630.v1
title: Additional file 1 of Genome sequence of Ophryocystis elektroscirrha, an apicomplexan parasite of monarch butterflies: cryptic diversity and response to host-sequestered plant chemicals

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.23167667
title: Additional file 2 of 20-Hydroxyecdysone counteracts insulin to promote programmed cell death by modifying phosphoglycerate kinase 1

description: Additional file 2. The individual data values for Fig. 1A-D, Fig. 2A-F, Fig. 3A-E, Fig. 4B-D, E’, F-I, Fig. 5A-D, E’, F’, G’, Fig. 6A’, B’, C’, D’, E–H, I’, J, K, Fig. S1A and B, Fig. S4A-C, Fig. S5A-E and Fig. S6B’, C’, D’.
DOI: 10.6084/m9.figshare.23167667.v1
title: Additional file 2 of 20-Hydroxyecdysone counteracts insulin to promote programmed cell death by modifying phosphoglycerate kinase 1

description: Additional file 2. The individual data values for Fig. 1A-D, Fig. 2A-F, Fig. 3A-E, Fig. 4B-D, E’, F-I, Fig. 5A-D, E’, F’, G’, Fig. 6A’, B’, C’, D’, E–H, I’, J, K, Fig. S1A and B, Fig. S4A-C, Fig. S5A-E and Fig. S6B’, C’, D’.
DOI: 10.6084/m9.figshare.23167675
title: Additional file 6 of Complication, fusion, and revision rate in the lumbar cortical bone trajectory and pedicle screw fixation techniques: a systematic review and meta-analysis

description: Additional file 6: Table S1. CBT and PS data summary.
DOI: 10.6084/m9.figshare.23167675.v1
title: Additional file 6 of Complication, fusion, and revision rate in the lumbar cortical bone trajectory and pedicle screw fixation techniques: a systematic review and meta-analysis

description: Additional file 6: Table S1. CBT and PS data summary.
DOI: 10.6084/m9.figshare.23167814
title: Additional file 3 of Prevalence and risk factors of significant persistent pain symptoms after critical care illness: a prospective multicentric study

description: Additional file 3: The ALGO-RÉA study group.
DOI: 10.6084/m9.figshare.23167814.v1
title: Additional file 3 of Prevalence and risk factors of significant persistent pain symptoms after critical care illness: a prospective multicentric study

description: Additional file 3: The ALGO-RÉA study group.
DOI: 10.6084/m9.figshare.23167888
title: Additional file 2 of Integration of multiomics data shows down regulation of mismatch repair and tubulin pathways in triple-negative chemotherapy-resistant breast tumors

description: Additional file 2. Supplementary Tables.
DOI: 10.6084/m9.figshare.23167888.v1
title: Additional file 2 of Integration of multiomics data shows down regulation of mismatch repair and tubulin pathways in triple-negative chemotherapy-resistant breast tumors

description: Additional file 2. Supplementary Tables.
DOI: 10.6084/m9.figshare.23167903
title: Additional file 2 of A comparison of point-tracking algorithms in ultrasound videos from the upper limb

description: Additional file 2. Data presented in the figures, along with individual data points are provided in this excel file.
DOI: 10.6084/m9.figshare.23167903.v1
title: Additional file 2 of A comparison of point-tracking algorithms in ultrasound videos from the upper limb

description: Additional file 2. Data presented in the figures, along with individual data points are provided in this excel file.
DOI: 10.57841/casdc.0001044
title: 超高速轴承润滑脂模拟台架研制及数据集
DOI: 10.34740/kaggle/dsv/3534788
title: HAI Security Dataset
DOI: 10.57841/casdc.0001045
title: 低速重载轴承润滑脂模拟台架评价方法数据集
DOI: 10.57841/casdc.0001046
title: 流动性评价技术研究数据
DOI: 10.57841/casdc.0001047
title: 轴承润滑油脂界面摩擦物理化学行为评价技术研究数据库
DOI: 10.6084/m9.figshare.23167661
title: Loaded Countermovement Jump 1x20 Data

description: Force-time data for loaded countermovement jumps
DOI: 10.6084/m9.figshare.23167661.v1
title: Loaded Countermovement Jump 1x20 Data

description: Force-time data for loaded countermovement jumps
DOI: 10.57841/casdc.0001048
title: 轴承润滑脂分子结构稳定性 评价技术研究数据
DOI: 10.6084/m9.figshare.23168279
title: Loaded Squat Jump 1x20 Data

description: Force-Tiem data for Laoded Squat Jumps
DOI: 10.6084/m9.figshare.23168279.v1
title: Loaded Squat Jump 1x20 Data

description: Force-Tiem data for Laoded Squat Jumps
DOI: 10.57841/casdc.0001049
title: 仿真数据
DOI: 10.6084/m9.figshare.23167349
title: Supplementary Data

description: ATAC and RNA marker gene list
DOI: 10.5281/zenodo.7571183
title: Artifacts of the paper under review by ESEC/FSE

description: <strong>This repository has been deprecated. Please refer to this link for the latest version.</strong> -------------------------------------------------------------------- This is the online repository of <strong>CCT5: A Code-Change-Oriented Pre-Trained Model</strong>, a research paper under review by ESEC/FSE. We release the source code and relevant data of CCT5, the data used in our evaluation, as well as the experiment results. Getting Started <pre><code>pytorch==1.8.0 cudatoolkit=11.1 datasets==1.18.3 transformers==4.16.2 tensorboard==2.8.0 tree-sitter==0.19.1</code></pre> Dataset We provide the datasets of pretraining and three downstream tasks. The datasets should be downloaded and uncompressed in the <strong>data </strong>directory. <code>pretraining/CodeChangeNet.tar.lrz</code> contains the dataset used in pretraining, i.e., CodeChangeNet. CodeChangeNet is a collection of over 1000 star projects written in six popular programming languages: Go, Java, JavaScript, PHP, Python, and Ruby. <code>finetune/MessageGeneration</code> contains the download and process script of task1 - Commit Message Generation; <code>finetune/CommentUpdate</code> contains the dataset of downstream task2 - Just-in-Time Comment Update; <code>finetune/JITDefectPrediction</code> contains the dataset of downstream task3 - Just-in-Time Defect Prediction; Pretrain the model <pre><code class="language-bash">cd sh bash pretrain.sh</code></pre> Finetune and evaluate the downstream task Commit Message Generation <pre><code class="language-bash">cd sh bash finetune_msggen.sh</code></pre> Just-in-Time Comment Update <pre><code class="language-bash">cd sh bash finetune_cup.sh</code></pre> Just-in-Time Defect Prediction <pre><code class="language-bash">cd sh bash finetune_jit.sh</code></pre> Results The experiment results of two generation tasks and the ablation study are stored in <strong>results</strong> with the directory <strong>MessageGeneration</strong>, <strong>CommentUpdate</strong>, and <strong>Ablation</strong>, respectively.
DOI: 10.5281/zenodo.7571182
title: Artifacts of the paper under review by ESEC/FSE

description: <strong>This repository has been deprecated. Please refer to this link for the latest version.</strong> -------------------------------------------------------------------- This is the online repository of <strong>CCT5: A Code-Change-Oriented Pre-Trained Model</strong>, a research paper under review by ESEC/FSE. We release the source code and relevant data of CCT5, the data used in our evaluation, as well as the experiment results. Getting Started <pre><code>pytorch==1.8.0 cudatoolkit=11.1 datasets==1.18.3 transformers==4.16.2 tensorboard==2.8.0 tree-sitter==0.19.1</code></pre> Dataset We provide the datasets of pretraining and three downstream tasks. The datasets should be downloaded and uncompressed in the <strong>data </strong>directory. <code>pretraining/CodeChangeNet.tar.lrz</code> contains the dataset used in pretraining, i.e., CodeChangeNet. CodeChangeNet is a collection of over 1000 star projects written in six popular programming languages: Go, Java, JavaScript, PHP, Python, and Ruby. <code>finetune/MessageGeneration</code> contains the download and process script of task1 - Commit Message Generation; <code>finetune/CommentUpdate</code> contains the dataset of downstream task2 - Just-in-Time Comment Update; <code>finetune/JITDefectPrediction</code> contains the dataset of downstream task3 - Just-in-Time Defect Prediction; Pretrain the model <pre><code class="language-bash">cd sh bash pretrain.sh</code></pre> Finetune and evaluate the downstream task Commit Message Generation <pre><code class="language-bash">cd sh bash finetune_msggen.sh</code></pre> Just-in-Time Comment Update <pre><code class="language-bash">cd sh bash finetune_cup.sh</code></pre> Just-in-Time Defect Prediction <pre><code class="language-bash">cd sh bash finetune_jit.sh</code></pre> Results The experiment results of two generation tasks and the ablation study are stored in <strong>results</strong> with the directory <strong>MessageGeneration</strong>, <strong>CommentUpdate</strong>, and <strong>Ablation</strong>, respectively.
DOI: 10.6084/m9.figshare.23169356
title: Supplementary Data

description: ATAC and RNA marker gene list and Peak Matrix
DOI: 10.6084/m9.figshare.23169356.v1
title: Supplementary Data

description: ATAC and RNA marker gene list and Peak Matrix
DOI: 10.5519/qd.7qpkr3tw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3 records)
DOI: 10.6084/m9.figshare.23170403
title: Database- Egyptian Physician-influencers on Social Media

description: Details of 42 Egyptian popular physicians on social media including their professional email addresses and telephone numbers. <br> The dataset includes the following details for each physician-influencer: Name, Gender, Specialization, YouTube Channel, Instagram Account, Facebook Page, Email Address, Telephone, Most Popular Social Network and the Highest Number of followers they had in April 2021.
DOI: 10.23729/94675246-8435-436d-a872-110cb8ca699d
title: PerforMat project, Use Case 1, microstructural characterisation data

description: Data from the microstructural characterisation carried out on the fretting test specimens tested in the Academy of Finland PerforMat project, Use Case 1. Two files provided: a low resolution, low file size version and a high resolution version.
DOI: 10.17909/04tb-mn90
title: JWST/NIRSPEC IFU data for XID 2028
DOI: 10.5517/ccdc.csd.cc25934r
title: CCDC 2004743: Experimental Crystal Structure Determination

description: Related Article: Juntaro Nogami, Yusuke Tanaka, Haruki Sugiyama, Hidehiro Uekusa, Atsuya Muranaka, Masanobu Uchiyama, Ken Tanaka|2020|J.Am.Chem.Soc.|142|9834|doi:10.1021/jacs.0c03684
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.23171006
title: test.txt

description: test
DOI: 10.6084/m9.figshare.23171006.v1
title: test.txt

description: test
DOI: 10.6084/m9.figshare.23170943
title: Kramers-Krönig relation and the initial arrival of pulse

description: The waveforms simulated with the dispersion and attenuation curves of water-saturated Berea sandstone
DOI: 10.6084/m9.figshare.23170943.v1
title: Kramers-Krönig relation and the initial arrival of pulse

description: The waveforms simulated with the dispersion and attenuation curves of water-saturated Berea sandstone
DOI: 10.5517/ccdc.csd.cc2f3d32
title: CCDC 2237583: Experimental Crystal Structure Determination

description: Related Article: wu xiaoqian|2023|CSD Communication|||
description: Related Article: Xiao-Qian Wu, Jing Li, Xi Zhou, Jing Wang, Yu-Fen Tan, Ji-Song Mo, Shao Liu, Kang-Ping Xu, Gui-Shan Tan, Wei Zhang, Wen-Xuan Wang|2023|Phytochemistry|212|113730|doi:10.1016/j.phytochem.2023.113730
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.23171414
title: Spatial location data

description: Spatial coordinates for each location