cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bl739
title: CCDC 2162470: Experimental Crystal Structure Determination

description: Related Article: HAIRONG LYU|2022|CSD Communication|||
description: Related Article: Hairong Lyu, Zuowei Xie|2022|Chem.Commun.|58|8392|doi:10.1039/D2CC02852B
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.cc2bl7hp
title: CCDC 2162482: Experimental Crystal Structure Determination

description: Related Article: Pengwei Zhang|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: 10.5517/ccdc.csd.cc2bl7mt
title: CCDC 2162486: Experimental Crystal Structure Determination

description: Related Article: Pengwei Zhang|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: 10.5517/ccdc.csd.cc2bl7z5
title: CCDC 2162497: Experimental Crystal Structure Determination

description: Related Article: Dan Liu|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: 10.5517/ccdc.csd.cc2bl9y6
title: CCDC 2162558: Experimental Crystal Structure Determination

description: Related Article: Linfeng 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: 10.5517/ccdc.csd.cc2blb3d
title: CCDC 2162563: Experimental Crystal Structure Determination

description: Related Article: Linfeng 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: 10.5517/ccdc.csd.cc2blb5g
title: CCDC 2162565: Experimental Crystal Structure Determination

description: Related Article: Linfeng 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: 10.5517/ccdc.csd.cc2blc7k
title: CCDC 2162598: Experimental Crystal Structure Determination

description: Related Article: Harri Sopo, Reijo Sillanpää|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: 10.5517/ccdc.csd.cc2blcw6
title: CCDC 2162618: Experimental Crystal Structure Determination

description: Related Article: Kurt Merzweiler, Ankush Mane|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: 10.5517/ccdc.csd.cc2bldcq
title: CCDC 2162633: Experimental Crystal Structure Determination

description: Related Article: Victor B. Rybakov, Andrey Yu. Plodukhin, Ivan A. Andreev, Alexey R. Gusarov, Sergey S. Zhokhov, Igor V. Trushkov, Olga A. Ivanova|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: 10.5517/ccdc.csd.cc2blkp6
title: CCDC 2162798: Experimental Crystal Structure Determination

description: Related Article: Zhiling Xiang|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: 10.5517/ccdc.csd.cc2blnzl
title: CCDC 2162900: Experimental Crystal Structure Determination

description: Related Article: Guinan Zhu|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: 10.5517/ccdc.csd.cc2blxgb
title: CCDC 2163132: Experimental Crystal Structure Determination

description: Related Article: Shuya Xing, Yu-Yi Zhu, Wen Liu, Yong Liu, Jing Zhang, Huarong Zhang, Yan Wang, Shao-Fei Ni, and Xinxin Shao|2022|CSD Communication|||
description: Related Article: Shuya Xing, Yu-Yi Zhu, Wen Liu, Yong Liu, Jing Zhang, Huarong Zhang, Yan Wang, Shao-Fei Ni, Xinxin Shao|2022|Org.Lett.|24|3378|doi:10.1021/acs.orglett.2c01151
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.cc2blyhd
title: CCDC 2163164: Experimental Crystal Structure Determination

description: Related Article: Tong Lu|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: 10.5517/ccdc.csd.cc2blyws
title: CCDC 2163176: Experimental Crystal Structure Determination

description: Related Article: zheyu zhang|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.20237529
title: Stretch Forming _Data_Set

description: Stretch forming experiments are performed on az31b magnesium alloy sheets of 2mm thickness Other test input infomation * 3 temperatures -room, 150 and 350 deg * 2 strain rates-0.01, 0.001mm/s * 4 sample sizes-150x150, 150x125,150x100,150x75mm * Blank Holding Pressure 120-140bar <br> <br> <br> <br>
DOI: 10.6084/m9.figshare.20237529.v10
title: Stretch Forming _Data_Set

description: Nakazima tests are conducted on az31b magnesium alloy sheet at high tempertaures and at different strain rates using hot froming machine. 16 experiments are performed and the results are stored in excel file. Same data set has been uploaded here. Each excel file labelled as for Example; Exp_1_150deg_0.01strainrate_150x100_sample size. almost 5000 rows are available for each experiment. Appx 50000 rows are generated including all experiments together and 70% data trained for developing machine learning regression models to predict the materil's formability. <br>
DOI: 10.5281/zenodo.6949644
title: Corresponding Dataset for Gravity Field of Ganymede after the Juno Extended Mission

description: Corresponding Dataset for Gravity Field of Ganymede after the Juno Extended Mission Luis Gomez Casajus August 2, 2022 =============================================================================<br> Introduction<br> ============================================================================= This dataset contains the estimated gravity field and its corresponding<br> full covariance matrix. This dataset is provided in order to <br> supplement the submitted article to the "Geophysical Research Letters"<br> journal: Gravity Field of Ganymede after the Juno Extended Mission.<br> L. Gomez Casajus (*), A. I. Ermakov, M. Zannoni, J. T. Keane, <br> D. Stevenson, D. R.Buccino, D. Durante, M. Parisi, R. S. Park, <br> P. Tortora and S. J. Bolton<br> <br> - (*) luis.gomezcasajus@unibo.it =============================================================================<br> File description<br> ============================================================================= This archive contains two files within the root directory.<br> <br> ROOT<br> -SOI_gravity_field.txt This file contains the estimated normalized spherical harmonics <br> coefficients of the Ganymede gravity field.<br> The file contains a header row which provides a description of <br> the file. -SOI_cov_matrix.txt This file contains the estimated full covariance matrix (32x32) <br> of the normalized spherical harmonics coefficients of the <br> Ganymede gravity field. The file contains a header row which <br> provides a description of the file. The matrix is represented as<br> a 2 dimensional array whose coefficients follow the following <br> order scheme: C20 C21 S21 C22 S22 C30 C31 ... =============================================================================<br> ACKNOWLEDGMENTS<br> ============================================================================= The authors are grateful to William Folkner, to the entire Solar System <br> Dynamics Group and to Robert Haw, former Galileo navigator, for the useful <br> discussions and suggestions regarding the procedures for Galileo data <br> analysis. L.G.C., M.Z., and P.T. are grateful to the Italian Space Agency <br> (ASI) for financial support through Agreement No. 2017-40-H.1-2020, and its <br> extension2017-40-H.02020-13-HH.0, for ESA’s BepiColombo and NASA’s Juno radio<br> science experiments. L.G.C., M.Z., and P.T. acknowledge Caltech and the Jet <br> Propulsion Laboratory for granting the University of Bologna a license to an <br> executable version of MONTE Project Edition S/W. JTK and AIE acknowledge <br> support from the Juno participating scientist program. The work of RP, DB, <br> JTK, and MP was carried out at the Jet Propulsion Lab, California Institute<br> of Technology, under a contract with the National Aeronautics and Space <br> Administration (80NM0018D0004). Government sponsorship acknowledged.
DOI: 10.17632/zp6kzvh986.1
title: Effects of ADI5529

description: Raw data of US-pharmaceutical patents filed in Brazil which were under effect of single paragraph of art 40 of LPI
DOI: 10.17632/p7wzytyt9b.1
title: LINF_310010800

description: ATP-binding cassette protein subfamily D, member 2 | ABCD2
Leishmania infantum (strain JPCM5)
DOI: 10.17632/xrmzbczs7b.1
title: PHYSA-221568-Manuscript Data

description: The manuscript data include the following:
1.Underlying network topology (adjacency matrix expression);
2.The original data of all the figures in the manuscript.
Please reproduce each of the drawings in the manuscript according to the instructions below.
DOI: 10.5281/zenodo.6950640
title: Data used in the paper Automatically Detecting Visual Bugs in HTML5 Games

description: This repository contains the snapshots (i.e., screenshot, &lt;canvas&gt; object representation pairs) and game assets collected from our test &lt;canvas&gt; game for use in the paper <code>Automatically Detecting Visual Bugs in HTML5 &lt;canvas&gt; Games</code>, accepted at ASE 2022. The data in this repository can be used to benchmark new visual bug detection approaches for HTML5 &lt;canvas&gt; games. The source code for our test &lt;canvas&gt; game and our 24 synthetic visual bugs can be found at the following link. Project page<br> <br> <strong>Directory structure</strong> <pre> data/ | - assets/ | - exp_0/ | | - a/ | | | - 0.png | | | - 0.json | | | ... | | | - 9.png | | | - 9.json | | ... | | - j/ | - exp_appearance_1 | ... | - exp_state_6 </pre> <br> <strong>Data description</strong> assets/ Source images from the test &lt;canvas&gt; game exp_0/ Snapshots with no visual bugs injected (okay/non-buggy experiment) exp_*_{1,2,3,4,5,6}/ Snapshots for each of the injected visual bugs (buggy experiments) */{a,b,c,d,e,f,g,h,i,j}/ 10 runs of data for each experiment */{0,1,2,3,4,5,6,7,8,9}.png 10 snapshots per experiment, each snapshot has a screenshot (png) */{0,1,2,3,4,5,6,7,8,9}.json 10 snapshots per experiment, each snapshot has a COR<sup>1</sup> (json) <sup>1</sup>COR = &lt;canvas&gt; objects representation
DOI: 10.5281/zenodo.6950639
title: Data used in the paper Automatically Detecting Visual Bugs in HTML5 Games

description: This repository contains the snapshots (i.e., screenshot, &lt;canvas&gt; object representation pairs) and game assets collected from our test &lt;canvas&gt; game for use in the paper <code>Automatically Detecting Visual Bugs in HTML5 &lt;canvas&gt; Games</code>, accepted at ASE 2022. The data in this repository can be used to benchmark new visual bug detection approaches for HTML5 &lt;canvas&gt; games. The source code for our test &lt;canvas&gt; game and our 24 synthetic visual bugs can be found at the following link. Project page<br> <br> <strong>Directory structure</strong> <pre> data/ | - assets/ | - exp_0/ | | - a/ | | | - 0.png | | | - 0.json | | | ... | | | - 9.png | | | - 9.json | | ... | | - j/ | - exp_appearance_1 | ... | - exp_state_6 </pre> <br> <strong>Data description</strong> assets/ Source images from the test &lt;canvas&gt; game exp_0/ Snapshots with no visual bugs injected (okay/non-buggy experiment) exp_*_{1,2,3,4,5,6}/ Snapshots for each of the injected visual bugs (buggy experiments) */{a,b,c,d,e,f,g,h,i,j}/ 10 runs of data for each experiment */{0,1,2,3,4,5,6,7,8,9}.png 10 snapshots per experiment, each snapshot has a screenshot (png) */{0,1,2,3,4,5,6,7,8,9}.json 10 snapshots per experiment, each snapshot has a COR<sup>1</sup> (json) <sup>1</sup>COR = &lt;canvas&gt; objects representation
DOI: 10.17632/2g38xhgxk2.1
title: LINF_310010500

description: DnaJ domain-containing protein | JDP41 | J41
Leishmania infantum (strain JPCM5)
DOI: 10.17632/8mvkvw5587.1
title: LINF_310010200

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/3x4j3y762h.1
title: LINF_310009900

description: calpain-like cysteine peptidase | CAL31.6
Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.6951463
title: Potential and realized distribution at 30m for Silver fir (Abies alba) in Europe for 2000 - 2020

description: Probability and uncertainty maps showing the potential and realized distribution for the silver fir (<em>Abies alba, Mill.</em>) for Europe from the dataset prepared by Bonannella et al. (2022) and predicted using Ensemble Machine Learning (EML). Potential distribution map cover the period 2018 - 2020; realized distribution cover the period 2000 - 2020, split in the following time periods: 2000 - 2002, 2002 - 2006, 2006 - 2010, 2010 - 2014, 2014 - 2018, 2018 - 2020. Files are named according to the following naming convention, e.g: veg_abies.alba_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.2 with the following fields: theme: e.g. <strong>veg</strong>, species code: e.g. <strong>abies.alba</strong>, species distribution type: e.g. <strong>anv</strong> (= actual natural vegetation), species estimation method: e.g. <strong>eml</strong>, species estimation type: e.g. <strong>md</strong> ( = model deviation), resolution in meters e.g. <strong>30m</strong>, reference depths (vertical dimension): e.g. <strong>0..0cm</strong>, reference period begin end: e.g. <strong>2000..2002</strong>, reference area: e.g. <strong>eumap</strong>, coordinate system: e.g. <strong>epsg3035</strong>, data set version: e.g. <strong>v0.3</strong>. For each species is then easy to identify probability and uncertainty distribution maps: veg_abies.alba_<strong>anv</strong>.eml_<strong>md</strong>: model uncertainty for realized distribution veg_abies.alba_<strong>anv</strong>.eml_<strong>p</strong>: probability for realized distribution veg_abies.alba_<strong>pnv</strong>.eml_<strong>md</strong>: model uncertainty for potential distribution veg_abies.alba_<strong>pnv</strong>.eml_<strong>p</strong>: probability for potential distribution Files are provided as Cloud Optimized GeoTIFFs and projected in the Coordinate Reference System ETRS89 / LAEA Europe (= EPSG code 3035). Styling files are provided in both <em>SLD</em> and <em>QML</em> format. If you would like to know more about the creation of the maps and the modeling: <strong>watch</strong> the talk at Open Data Science Workshop 2021 (TIB AV-PORTAL) <strong>access </strong>the repository with our R/Python scripts and follow the instructions (GitLab) <strong>access </strong>the repository with the training dataset (Zenodo) <strong>read </strong>the tutorial with executable code on our GitBook A publication describing, in detail, all processing steps, accuracy assessment and general analysis of species distribution maps is available on PeerJ. To suggest any improvement/fix use https://gitlab.com/geoharmonizer_inea/spatial-layers/-/issues.
description: This work is co-financed under Grant Agreement Connecting Europe Facility (CEF) Telecom project 2018-EU-IA-0095 by the European Union (https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/2018-eu-ia-0095).
DOI: 10.17632/g83kwc9d9k.1
title: Studies describing complement activation in COVID-19 and clinical interventional studies

description: Data of histological and/or autopsy studies, omics, observational studies and clinical interventional studies on complement activation in COVID-19. Articles were accessed from PubMed/Medline, Embase (Ovid) and Cochrane Library until May 30, 2022.
DOI: 10.17632/h3j3vts4w7.1
title: LINF_310009700

description: cytoskeleton-associated protein CAP5.5
Leishmania infantum (strain JPCM5)
DOI: 10.17632/mgs3xjtfgv.1
title: The cross-lingual transfer evaluation of sentiment score 

description: The dataset represents the processed movie subtitle data adjusted for sentiment analysis, which was implemented using IBM Watson Natural Language Understanding (IBM NLU). The source data contains Slovak and English subtitles from 10 movies, which are matched into pairs. Each of the subtitles is matched with a machine translation generated using Google Translate and DeepL. In the next matrix, the results of the sentiment analysis from IBM NLU service for each segment are processed. The third file contains the results of validating the accuracy and error rates of the machine translations from the BLEU and TER metrics.
DOI: 10.6084/m9.figshare.20418849
title: UTI dataset

description: This is the dataset used for the study 'Compliance to guidelines in prescribing empirical antibiotics for individuals with uncomplicated urinary tract infection in a primary health facility of Ghana, 2019-2021' conducted at the Korle Bu Polyclinic/Family Medicine Department in Accra, Ghana
DOI: 10.6084/m9.figshare.19329760
title: Mixed diapause duration in cohorts of four species of <i>Osmia</i> bees (Megachilidae) along an elevation and temperature gradient in Northern Utah (USA)

description: Several species of <i>Osmia</i> bees are parsivoltine, i.e., individuals of a cohort diapause for either one or two winters before emerging as adults. Frequently, contents of single nests are mixed, containing both one- and two-year morphs, commonly in an unpatterned array. We asked if the incidence of one- and two-year morphs, and mixed nests, was associated with elevation and decreasing average temperature. We also describe the arrangement of gender and year-morph of progeny within nests. Populations were sampled and reared from wood “trap-nests” at 1553–2436 m elevation at nine sites in northern Utah. Nearby weather stations supplied temperature records. Nine parsivoltine <i>Osmia</i> species were found. For the two most common species, <i>O. coloradensis</i> and <i>O. montana</i>, the percent of two-year morphs increased significantly with elevation and a decrease in average temperature. The most precipitous drop in temperature occurred between 1800 and 1930 m, the elevation span also associated with large increases in percent two-year morphs. The incidence of mixed nests was highest at intermediate elevations, and gender and year-morph were associated (females were significantly more likely than males to be two-year morphs) but only for <i>O. coloradensis</i>. For all species, the percentage of females declined from the first (innermost) to the last (outermost) brood cell in nests. We consider the merits of a diversified bet-hedging strategy as an explanation for parsivoltinism and offer a new interpretation that emphasizes the reduction in overwintering mortality, particularly of immatures produced later in the growing season, conferred by their ability to enter diapause at two distinct stages.