cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3761562.v2472
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.7579845
title: Spatio-temporally resolved water sorption experiment into a pre-dried cement paste using GARField NMR

description: Sample predried at 60C in 0.5 MPa vacuum for one day. After drying the sample is re-saturated in lime solution for one day. The drying re-wetting is repeated 3 times. The 3rd re-wetting is measured with GARField NMR at 0, 600 and 900 um below the wetting surface for approximately 2 days.
description: Result published in 10.1016/j.cemconres.2020.106045
DOI: 10.5281/zenodo.7579844
title: Spatio-temporally resolved water sorption experiment into a pre-dried cement paste using GARField NMR

description: Sample predried at 60C in 0.5 MPa vacuum for one day. After drying the sample is re-saturated in lime solution for one day. The drying re-wetting is repeated 3 times. The 3rd re-wetting is measured with GARField NMR at 0, 600 and 900 um below the wetting surface for approximately 2 days.
description: Result published in 10.1016/j.cemconres.2020.106045
DOI: 10.5281/zenodo.7579945
title: coop lms (working)

description: dataset for our paper (working)
DOI: 10.5281/zenodo.7579944
title: coop lms (working)

description: dataset for our paper (working)
DOI: 10.6084/m9.figshare.21967181.v1
title: The detail of Surveys performed at 6th conference

description: Questionnaire performed at 6th conference.
DOI: 10.6084/m9.figshare.21967085
title: Supplemental Table1.docx

description: Table 1 is the titles presented at this conference. <br>
DOI: 10.6084/m9.figshare.21967085.v2
title: Supplemental Table1.docx

description: Table 1 is the titles presented at this conference. <br>
DOI: 10.6084/m9.figshare.21967085.v1
title: Supplemental Tables.docx

description: Table 1 is the titles presented at this conference. Table 2 is the detail of the questionnaire used at this conference.
DOI: 10.34740/kaggle/dsv/4908885
title: Brazil Conflict Tracker (2018-2023)
DOI: 10.5281/zenodo.7580003
title: Supporting information for First-row transition metalloporphenes, metallic conductors or not?

description: Supporting information for First-row transition metalloporphenes, metallic conductors or not? POSCAR, vasprun.xml, and INCAR files
description: This work was supported by the US National Science Foundation (grant CHE 1900226), the Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences (RVO: 61388963) and the Czech Science Foundation (grant 20-03691X). IR acknowledges support by the UKRI Horizon Europe Guarantee MSCA Postdoctoral Fellowship ELDELPATH (EP/X030075/1) Computational resources were provided by the Ministry of Education, Youth and Sports of the Czech Republic through e INFRA CZ (ID:90140). This work used the Cirrus UK National Tier-2 HPC Service at EPCC (http://www.cirrus.ac.uk) funded by the University of Edinburgh and EPSRC (EP/P020267/1). Resources were also provided by the Computational Centre of the Department of Chemistry, University of Zagreb, Faculty of Science, funded by the European Regional Development Fund (infrastructural project CIuK, grant number KK.01.1.1.02.0016).
DOI: 10.5281/zenodo.7580002
title: Supporting information for First-row transition metalloporphenes, metallic conductors or not?

description: Supporting information for First-row transition metalloporphenes, metallic conductors or not? POSCAR, vasprun.xml, and INCAR files
description: This work was supported by the US National Science Foundation (grant CHE 1900226), the Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences (RVO: 61388963) and the Czech Science Foundation (grant 20-03691X). IR acknowledges support by the UKRI Horizon Europe Guarantee MSCA Postdoctoral Fellowship ELDELPATH (EP/X030075/1) Computational resources were provided by the Ministry of Education, Youth and Sports of the Czech Republic through e INFRA CZ (ID:90140). This work used the Cirrus UK National Tier-2 HPC Service at EPCC (http://www.cirrus.ac.uk) funded by the University of Edinburgh and EPSRC (EP/P020267/1). Resources were also provided by the Computational Centre of the Department of Chemistry, University of Zagreb, Faculty of Science, funded by the European Regional Development Fund (infrastructural project CIuK, grant number KK.01.1.1.02.0016).
DOI: 10.15151/esrf-es-1024537619
title: UK Midlands BAG

description: The UK Midlands BAG consists of groups located at the Universities of Birmingham, Leicester, Warwick, Nottingham, Keele, and Wolverhampton. We represent a diverse spectrum of research interests, from microbiology, cancer biology, blood disorders, immunology to fundamental biological processes such as membrane transport, DNA repair and mechanisms of enzyme catalysis. Our groups use X-ray crystallography in conjunction with other structural biology, biophysical and biochemical techniques to elucidate molecular mechanisms of protein-protein and protein-ligand interactions. Our cooperation in this block allocation group is mirrored by the consortium of institutions that are stakeholders in the Midlands Regional CryoEM Facility at the University of Leicester.
DOI: 10.5517/ccdc.csd.cc2c7txc
title: CCDC 2182273: Experimental Crystal Structure Determination

description: Related Article: Carla C.V. Albuquerque, Thallita M. Teixeira, Rafael S. dos Santos, Davi C. Abreu, Elisângela de P. Silveira-Lacerda, Davi F. Back, Juliana P. da Silva, Márcio P. de Araujo|2023|J.Inorg.Biochem.|240|112119|doi:10.1016/j.jinorgbio.2023.112119
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.cc2c7tzf
title: CCDC 2182275: Experimental Crystal Structure Determination

description: Related Article: Carla C.V. Albuquerque, Thallita M. Teixeira, Rafael S. dos Santos, Davi C. Abreu, Elisângela de P. Silveira-Lacerda, Davi F. Back, Juliana P. da Silva, Márcio P. de Araujo|2023|J.Inorg.Biochem.|240|112119|doi:10.1016/j.jinorgbio.2023.112119
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: 10.5281/zenodo.7580033
title: PERTEMUAN 6_02 FEBRUARY 2023_PPh WAJIB PAJAK_UNIVERSITAS WIJAYA PUTRA _PRIGEN_JAM 18-00-20.30

description: <strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong> <strong>Mahasiswa</strong><strong> </strong><strong>Mampu</strong><strong> </strong><strong>mengetahui</strong><strong> </strong><strong>PPh</strong><strong> WP </strong><strong>Badan</strong><strong> </strong><strong>dan</strong><strong> </strong><strong>Bentuk</strong><strong> Usaha </strong><strong>Tetap</strong><strong> (BUT</strong><strong>).</strong> <strong>Indikator</strong><strong> </strong><strong>Pembelajaran</strong> <strong>Konsep</strong><strong> </strong><strong>PPh</strong><strong> </strong><strong>Wajib</strong><strong> </strong><strong>Pajak</strong><strong> </strong><strong>Badan</strong><strong> :</strong> <strong>Mampu</strong><strong> </strong><strong>menguasai</strong><strong> </strong><strong>dan</strong><strong> </strong><strong>menjelaskan</strong><strong> </strong><strong>mengenai</strong><strong> </strong><strong>PPh</strong><strong> WP </strong><strong>Badan</strong> 1.<strong>Subjek</strong><strong> </strong><strong>PPh</strong><strong> </strong><strong>Wp</strong><strong> </strong><strong>Badan</strong> 2.<strong>Obyek</strong><strong> </strong><strong>PPh</strong><strong> </strong><strong>Badan</strong><strong> </strong><strong>dan</strong><strong> BUT</strong>
description: PERTEMUAN 6_02 FEBRUARY 2023_PPh WAJIB PAJAK_UNIVERSITAS WIJAYA PUTRA _PRIGEN_JAM 18-00-20.30
DOI: 10.5281/zenodo.7580032
title: PERTEMUAN 6_02 FEBRUARY 2023_PPh WAJIB PAJAK_UNIVERSITAS WIJAYA PUTRA _PRIGEN_JAM 18-00-20.30

description: <strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong> <strong>Mahasiswa</strong><strong> </strong><strong>Mampu</strong><strong> </strong><strong>mengetahui</strong><strong> </strong><strong>PPh</strong><strong> WP </strong><strong>Badan</strong><strong> </strong><strong>dan</strong><strong> </strong><strong>Bentuk</strong><strong> Usaha </strong><strong>Tetap</strong><strong> (BUT</strong><strong>).</strong> <strong>Indikator</strong><strong> </strong><strong>Pembelajaran</strong> <strong>Konsep</strong><strong> </strong><strong>PPh</strong><strong> </strong><strong>Wajib</strong><strong> </strong><strong>Pajak</strong><strong> </strong><strong>Badan</strong><strong> :</strong> <strong>Mampu</strong><strong> </strong><strong>menguasai</strong><strong> </strong><strong>dan</strong><strong> </strong><strong>menjelaskan</strong><strong> </strong><strong>mengenai</strong><strong> </strong><strong>PPh</strong><strong> WP </strong><strong>Badan</strong> 1.<strong>Subjek</strong><strong> </strong><strong>PPh</strong><strong> </strong><strong>Wp</strong><strong> </strong><strong>Badan</strong> 2.<strong>Obyek</strong><strong> </strong><strong>PPh</strong><strong> </strong><strong>Badan</strong><strong> </strong><strong>dan</strong><strong> BUT</strong>
description: PERTEMUAN 6_02 FEBRUARY 2023_PPh WAJIB PAJAK_UNIVERSITAS WIJAYA PUTRA _PRIGEN_JAM 18-00-20.30
DOI: 10.6084/m9.figshare.21947996.v1
title: TOT25

description: Semantic coverage of the test suits for total correctness of Jterminal with respect to M25. <br> The semantic coverage of a test suite T to test 1<br> a program P depends not only on T and P , but also 2<br> on the standard of correctness (partial, total) and on the 3<br> specification with respect to which correctness is tested. 4<br> For the purpose of this experiment, we have used two 5<br> mutants of jTerminal, namely M25 and M50, as the 6<br> specifications with respect to which correctness is tested. 7<br> This directory contains the semantic coverage of test 8<br> suites T 1 ... T 20 for total correctness with respect to 9<br> M25; these files are named TOT25T1 ... TOT25T20. 10<br> This directory also contains the graph that ranks the 11<br> test suites T 1 ... T 20 by their semantic coverage; this 12<br> graph is represented in two formats, namely the list 13<br> of arcs (ArcsTOT25) and the graphical representation 14<br> (GraphTOT25).
DOI: 10.6084/m9.figshare.21972329
title: Berry wildlife corridor sugar glider DArTseqdata

description: SNP data from DArTseq for sugar gliders from the Berry Wildlife Corridor Project Area, Berry, NSW, Australia. <br> <br> Gracanin, A.; Knipler, M.; Mikac, K.M. Informing Wildlife Corridor Creation through Population Genetics of an Arboreal Marsupial in a Fragmented Landscape. <em>Genes </em><strong>2023</strong>
DOI: 10.15151/esrf-es-1021447426
title: Structural Biology at EMBL Grenoble, IBS-CIBB and IAB

description: This proposal clusters crystallography projects at the EMBL Grenoble, IBS and IAB working on different topics with a focus on nucleic acid-protein complexes and host-pathogen interactions. The proposers have long-standing experience in the use, as well as the development of beam lines for macromolecular crystallography and have participated in successive BAG applications over the years, mostly at the ESRF but also at other synchrotrons (i.e. Soleil, Petra II, Diamond, SLS)
DOI: 10.5281/zenodo.7578885
title: MUSES Leaf Area Index (LAI) 8-Day Global 1km SIN Grid in 2016

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 1km spatial resolution and 8-day temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2016. <em>Please <strong>click here</strong> to download the MUSES LAI product<strong> in 2015</strong></em>, and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2017</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2016 Spatial Resolution: 1km Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7578884
title: MUSES Leaf Area Index (LAI) 8-Day Global 1km SIN Grid in 2016

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 1km spatial resolution and 8-day temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2016. <em>Please <strong>click here</strong> to download the MUSES LAI product<strong> in 2015</strong></em>, and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2017</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2016 Spatial Resolution: 1km Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7580082
title: Dataset for Appearance evaluation of digital materials in material jetting

description: Dataset for Appearance evaluation of digital materials in material jetting: Including dataset for gloss, haze, scattering, specular BRDF, reflectance, and transmittance
DOI: 10.5281/zenodo.7580081
title: Dataset for Appearance evaluation of digital materials in material jetting

description: Dataset for Appearance evaluation of digital materials in material jetting: Including dataset for gloss, haze, scattering, specular BRDF, reflectance, and transmittance
DOI: 10.3886/e109703v2-132122
title: Replication data and code for: Rural Roads and Local Economic Development

description: These files contain the data and code for the journal article "Rural Roads and Local Economic Development," American Economic Review. Please start with the readme, which contains a detailed description of all files in this repository and instructions for the replication of results in the article. <br><br>Abstract<br>Nearly one billion people worldwide live in rural areas without access to national paved road networks. We estimate the impacts of India’s $40 billion national rural road construction program using a fuzzy regression discontinuity design and comprehensive household and firm census microdata. Four years after road construction, the main effect of new feeder roads is to facilitate the movement of workers out of agriculture. However, there are no major changes in agricultural outcomes, income or assets. Employment in village firms expands only slightly. Even with better market connections, remote areas may continue to lack economic opportunities.<br><br>
description: Presence of Common Scales: Indian National Classification of Occupations (2004)
description: The main analysis sample is comprised of villages that did not have a paved approach road at the start of the road construction program and whose baseline populations were close to the cutoffs used for prioritization.
description: Villages in India without paved roads in 2000. Smallest Geographic Unit: Village
DOI: 10.3886/e148262v1-132123
title: A QuantCrit Analysis of Context, Discipline, Special Education, and Disproportionality

description: This readme file describes the restricted data and ways to obtain similar data used in the analyses of A QuantCrit Analysis of Context, Discipline, Special Education, and Disproportionality The accompanying do file provides code that can be used to reproduce the analyses and figures.
DOI: 10.34740/kaggle/dsv/4912097
title: arXiv Dataset
DOI: 10.5281/zenodo.7580253
title: The Role of Biological Motion in Face Perception: Social Judgements of Morphed Expressions Differ from Videos and Photographs.

description: This study aimed to explore the impact of realistic and artifical facial dynamism on social percpetion. We compared ratings of emotion intensity and genuineness on video recordings, dynamic morphs, and static photographs of happy, sad, fearful, and angry expressions. The experiment was created using the online behavioural experiment builder Gorilla (AnwylIrvine et al., 2020). Each participant completed 144 trials, including 48 trials for each display type (video recording, morph, static), with 12 trials for each emotion (happy, disgust, fear, sadness).
DOI: 10.5281/zenodo.7558121
title: The Role of Biological Motion in Face Perception: Social Judgements of Morphed Expressions Differ from Videos and Photographs.

description: This study aimed to explore the impact of realistic and artifical facial dynamism on social percpetion. We compared ratings of emotion intensity and genuineness on video recordings, dynamic morphs, and static photographs of happy, sad, fearful, and angry expressions. The experiment was created using the online behavioural experiment builder Gorilla (AnwylIrvine et al., 2020). Each participant completed 144 trials, including 48 trials for each display type (video recording, morph, static), with 12 trials for each emotion (happy, disgust, fear, sadness).
DOI: 10.34740/kaggle/dsv/4912319
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.6084/m9.figshare.21524727
title: DetritalZircon_datasets_Jiaxian

description: Supporting dataset for the article: "Stepwise increased spatial provenance contrast on the Chinese Loess Plateau over late Miocene-Pleistocene"
DOI: 10.6084/m9.figshare.21524727.v2
title: DetritalZircon_datasets_Jiaxian

description: Supporting dataset for the article: "Stepwise increased spatial provenance contrast on the Chinese Loess Plateau over late Miocene-Pleistocene"
DOI: 10.6084/m9.figshare.21524727.v3
title: DetritalZircon_datasets_Jiaxian

description: Supporting dataset for the article: "Stepwise increased spatial provenance contrast on the Chinese Loess Plateau over late Miocene-Pleistocene"