cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bmywt
title: CCDC 2164137: Experimental Crystal Structure Determination

description: Related Article: Jia-Li Li, Xiao Xiong, Dong Luo, Yu-Bai Wei, Weigang Lu, Dan Li|2022|Chem.Commun.|58|6490|doi:10.1039/D2CC02041F
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.cc2bmyxv
title: CCDC 2164138: Experimental Crystal Structure Determination

description: Related Article: Jia-Li Li, Xiao Xiong, Dong Luo, Yu-Bai Wei, Weigang Lu, Dan Li|2022|Chem.Commun.|58|6490|doi:10.1039/D2CC02041F
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: 10.3886/2m0p-4943
title: Philippines Compact - KALAHI-CIDSS Community Development Grants: Final Analysis Report: Rice Addendum
DOI: 10.3886/7wnq-zk25
title: Philippines Compact - KALAHI-CIDSS Community Development Grants: Final Analysis Report: Rice Addendum
DOI: 10.6073/pasta/a7e8bac0456b7da4e6fc01d36d657f08
title: CFP01 Fish population on selected watersheds at Konza Prairie

description: Fishes were collected by habitat (pool or riffle) at 6 sites in the Kings Creek watershed with a single-pass electrofishing survey with one person operating the electrofisher and two people dipnetting. Collections were made seasonally.
DOI: 10.6084/m9.figshare.3761562.v2576
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.7897020
title: EquiPNAS public data

description: Protein-DNA and protein-RNA benchmarking test datasets for EquiPNAS
DOI: 10.5281/zenodo.7897019
title: EquiPNAS public data

description: Protein-DNA and protein-RNA benchmarking test datasets for EquiPNAS
DOI: 10.5281/zenodo.7876694
title: Repository of atomistic simulations of GPR68

description: This public repository is dedicated to Molecular Dynamics (MD) simulations of the structural models of the proton-sensing GPR68. <strong>Contents</strong> The repository includes: <strong>Simulation data:</strong> A collection of MD simulation trajectories (.dcd), protein structure files (.psf) and protein data bank files (.pdb) for 8 different GPR68 structural models (1µs each) and 9 different protonation simulations (600ns each) using the Model#5. Note: The trajectory files (.dcd) in this repository were written every 1ns. The file names (.tar files) are derived from the Table 2 of the manuscript. <strong>Contact</strong> For any questions or comments about the repository, please contact the repository owner at bhav.kapur@boehringer-ingelheim.com or bhav.kapur@gmail.com.
DOI: 10.5281/zenodo.7876695
title: Repository of atomistic simulations of GPR68

description: This public repository is dedicated to Molecular Dynamics (MD) simulations of the structural models of the proton-sensing GPR68. <strong>Contents</strong> The repository includes: <strong>Simulation data:</strong> A collection of MD simulation trajectories (.dcd), protein structure files (.psf) and protein data bank files (.pdb) for 8 different GPR68 structural models (1µs each) and 9 different protonation simulations (600ns each) using the Model#5. Note: The trajectory files (.dcd) in this repository were written every 1ns. The file names (.tar files) are derived from the Table 2 of the manuscript. <strong>Contact</strong> For any questions or comments about the repository, please contact the repository owner at bhav.kapur@boehringer-ingelheim.com or bhav.kapur@gmail.com.
DOI: 10.6084/m9.figshare.22766654
title: Datasets used in the study: TripAdvisor and Yelp review data, tweets related to points of interest in Florida and New York.

description: Contains TripAdvisor and Yelp review data, and tweets related to points of interest in Florida and New York. twitter, yelp, Florida, New York, data mining
DOI: 10.34740/kaggle/dsv/5604083
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.3886/ax0r-bj70
title: Moldova Compact - Transition to High Value Agriculture: Final Analysis Report
DOI: 10.3886/kytj-1n38
title: Moldova Compact - Transition to High Value Agriculture: Final Analysis Report
DOI: 10.6084/m9.figshare.22766588
title: Data for Figure 1

description: Raw data for experiments depicted on Figure 1. https://www.researchsquare.com/article/rs-2305070/v2 <br>
DOI: 10.6084/m9.figshare.22766624
title: Data for Figure 2

description: Raw data for experiments depicted on Figure 2 https://www.researchsquare.com/article/rs-2305070/v2
DOI: 10.6084/m9.figshare.22766624.v1
title: Data for Figure 2

description: Raw data for experiments depicted on Figure 2 https://www.researchsquare.com/article/rs-2305070/v2
DOI: 10.6084/m9.figshare.22766639
title: Data for Figure 3

description: Raw data for experiments depicted on Figure 3 https://www.researchsquare.com/article/rs-2305070/v2
DOI: 10.6084/m9.figshare.22766639.v1
title: Data for Figure 3

description: Raw data for experiments depicted on Figure 3 https://www.researchsquare.com/article/rs-2305070/v2
DOI: 10.6084/m9.figshare.22766705
title: Data for Figure 4

description: Raw data for Figure 4. https://www.researchsquare.com/article/rs-2305070/v2
DOI: 10.5281/zenodo.7896901
title: BRD8 is a therapeutic vulnerability for overcoming resistance to dual ER/HER2 blockade therapy in HR+/HER2+ breast cancer

description: .rda file for Seurat object of scRNA-seq data from BT474 breast cancer cell lines treated with DMSO, Neratinib, Fulvestrant, and a combination of Neratinib and Fulvestrant.
DOI: 10.5281/zenodo.7896900
title: BRD8 is a therapeutic vulnerability for overcoming resistance to dual ER/HER2 blockade therapy in HR+/HER2+ breast cancer

description: .rda file for Seurat object of scRNA-seq data from BT474 breast cancer cell lines treated with DMSO, Neratinib, Fulvestrant, and a combination of Neratinib and Fulvestrant.
DOI: 10.26093/cds/vizier.35590014
title: VIMOS VLT Deep Survey final data release

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'The VIMOS VLT Deep Survey final data release: a spectroscopic sample of 35016 galaxies and AGN out to z ~ 6.7 selected with 17.5 &lt;= i_AB_&lt;= 24.75.' (bibcode: 2013A&A...559A..14L)
DOI: 10.26093/cds/vizier.36260007
title: ComPRASS catalogue

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'ComPRASS: a Combined Planck-RASS catalogue of X-ray-SZ clusters.' (bibcode: 2019A&A...626A...7T)
DOI: 10.26093/cds/vizier.36370026
title: Fornax 3D project. Globular clusters

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'The Fornax 3D project: Globular clusters tracing kinematics and metallicities.' (bibcode: 2020A&A...637A..26F)
DOI: 10.26093/cds/vizier.36380027
title: Redshift database towards Shapley Supercluster

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'A redshift database towards the Shapley Supercluster region.' (bibcode: 2020A&A...638A..27Q)
DOI: 10.15489/6n5h1ezef920
title: World Settlement Footprint (WSF) 2015 v2 - Landsat-8/Sentinel-1 - Global

description: The World Settlement Footprint WSF 2015 version 2 (WSF2015 v2) is a 10m resolution binary mask outlining the extent of human settlements globally for the year 2015. Specifically, the WSF2015 v2 is a pilot product generated by combining multiple datasets, namely: 1) The WSF2015 v1 derived at 10m spatial resolution by means of 2014-2015 multitemporal Landsat-8 and Sentinel-1 imagery (of which ~217K and ~107K scenes have been processed, respectively); https://doi.org/10.1038/s41597-020-00580-5 2) The High Resolution Settlement Layer (HRSL) generated by the Connectivity Lab team at Facebook through the employment of 2016 DigitalGlobe VHR satellite imagery and publicly released at 30m spatial resolution for 214 countries; https://arxiv.org/pdf/1712.05839.pdf 3) The novel WSF2019 v1 derived at 10m spatial resolution by means of 2019 multitemporal Sentinel-1 and Sentinel-2 imagery (of which ~ 1.2M and ~1.8M scenes have been processed, respectively); https://doi.org/10.1553/giscience2021_01_s33 The WSF2015 v1 demonstrated to be highly accurate, outperforming all similar existing global layers; however, the use of Landsat imagery prevented a proper detection of very small structures, mostly due to their reduced scale. Based on an extensive qualitative assessment, wherever available the HRSL layer shows instead a systematic underestimation of larger settlements, whereas it proves particularly effective in identifying smaller clusters of buildings down to single houses, thanks to the employment of 2016 VHR imagery. The WSF2015v v2 has been then generated by: i) merging the WSF2015 v1 and HRSL (after resampling to 10m resolution and disregarding the population density information attached); and ii) masking the outcome by means of the WSF2019 product, which exhibits even higher detail and accuracy, also thanks to the use of Sentinel-2 data and the proper employment of state-of-the-art ancillary datasets (which allowed, for instance, to effectively mask out all roads globally from motorways to residential).
DOI: 10.15489/twg5xsnquw84
title: World Settlement Footprint (WSF) 2019 - Sentinel-1/2 - Global

description: The World Settlement Footprint (WSF) 2019 is a 10m resolution binary mask outlining the extent of human settlements globally derived by means of 2019 multitemporal Sentinel-1 (S1) and Sentinel-2 (S2) imagery. Based on the hypothesis that settlements generally show a more stable behavior with respect to most land-cover classes, temporal statistics are calculated for both S1- and S2-based indices. In particular, a comprehensive analysis has been performed by exploiting a number of reference building outlines to identify the most suitable set of temporal features (ultimately including 6 from S1 and 25 from S2). Training points for the settlement and non-settlement class are then generated by thresholding specific features, which varies depending on the 30 climate types of the well-established Köppen Geiger scheme. Next, binary classification based on Random Forest is applied and, finally, a dedicated post-processing is performed where ancillary datasets are employed to further reduce omission and commission errors. Here, the whole classification process has been entirely carried out within the Google Earth Engine platform. To assess the high accuracy and reliability of the WSF2019, two independent crowd-sourcing-based validation exercises have been carried out with the support of Google and Mapswipe, respectively, where overall 1M reference labels have been collected based photointerpretation of very high-resolution optical imagery.
DOI: 10.34740/kaggle/dsv/5603967
title: Hamilton County Jail Data
DOI: 10.3886/04ep-1r57
title: Philippines Compact - Revenue Administration Reform: Final Analysis Report
DOI: 10.3886/jgqf-ym58
title: Philippines Compact - Revenue Administration Reform: Final Analysis Report
DOI: 10.34740/kaggle/dsv/5604254
title: #ChatGPT 1000 Daily 🐦 Tweets
DOI: 10.15482/usda.adc/1528958
title: Data from: A site suitability analysis for castor (Ricinus communis L.) production during Brazil's second harvest accounting for potential disease

description: Raster data providing site suitability results for the production of castor throughout Brazil. The pixel value range from 1 (currently not suitable) to 10 (highly suitable) for a suitability ranking in the given pixel location. The site suitability for castor was conducted using data associated with agronomic and disease characteristics. The various characteristics were subject to a weighted overlay analysis in conjunction with an analytical hierarchy process. The raster was the result of these analytics.
DOI: 10.5281/zenodo.7897574
title: Dataset of homophobic messages on social networks in Colombia

description: The messages were collected using the API that Twitter provides upon invitation. During an observation window of one month and five days, we made around 38 requests of 100 messages. From these requests, 440 tweets segmented between negative and positive messages were selected, from which we captured ID, tweet (body's message), and date fields. To discern whether a message promoted homophobia, we chose those that contained colloquial terms of the country used to refer to the LGBTQ community or its members. We also considered those that included a word related to the subject and used offensive language. We should note that the double meaning is an aspect that makes classification difficult, since a word may or may not be offensive depending on the context. Due to it, we used terms similar to the negative ones for non-homophobic messages, but that expressed an opinion or support towards the community in question.
DOI: 10.5281/zenodo.7897573
title: Dataset of homophobic messages on social networks in Colombia

description: The messages were collected using the API that Twitter provides upon invitation. During an observation window of one month and five days, we made around 38 requests of 100 messages. From these requests, 440 tweets segmented between negative and positive messages were selected, from which we captured ID, tweet (body's message), and date fields. To discern whether a message promoted homophobia, we chose those that contained colloquial terms of the country used to refer to the LGBTQ community or its members. We also considered those that included a word related to the subject and used offensive language. We should note that the double meaning is an aspect that makes classification difficult, since a word may or may not be offensive depending on the context. Due to it, we used terms similar to the negative ones for non-homophobic messages, but that expressed an opinion or support towards the community in question.
DOI: 10.34740/kaggle/dsv/5604285
title: Hamilton County Jail Data
DOI: 10.34740/kaggle/dsv/5604293
title: Hamilton County Jail Data
DOI: 10.18112/openneuro.ds004386.v1.1.0
title: fc-reliability-spinalcord
DOI: 10.5517/ccdc.csd.cc218kvr
title: CCDC 1885074: Experimental Crystal Structure Determination

description: Related Article: Xi Chen|2022|CSD Communication|||
description: Related Article: Xi Chen, Hongliu Zhang, Miguel A. Maria-Solano, Weidong Liu, Juan Li, Jinhui Feng, Xiangtao Liu, Sílvia Osuna, Rey-Ting Guo, Qiaqing Wu, Dunming Zhu, Yanhe Ma |2019|Nat. Catal.|2|931|doi:10.1038/s41929-019-0347-y
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.cc23xx10
title: CCDC 1964192: Experimental Crystal Structure Determination

description: Related Article: Yanyu Zhu, Tianyang Ding, Xu Zhang, Yanan Zhou, Jiahui Yu, Xin Li, Hanwen Zheng, Zhengang Sun, Chengqi Jiao|2023|Inorg.Chem.Front.|10|2818|doi:10.1039/D3QI00251A
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.7338208
title: #DeOlhoNosCorais: a polygonal annotated dataset to optimize coral monitoring

description: The first version of the #DeOlhoNosCorais dataset was built in collaboration with the Laboratory of Marine Ecology (LECOM) at the Federal University of Rio Grande do Norte (UFRN). The dataset contains images extracted from social networks with the hashtag “#DeOlhoNosCorais” and images provided by the LECOM. It contains 1411 images and 21 classes. Each image has two labels, its major class and the segmentation map. The labeling was performed by the LECOM researchers using the Labelme tool. The duplicate images were removed using the FiftyOne tool. One of the objectives of the dataset is to measure the viability to use machine learning to speed up the processing of analyses of the images extracted from the Instagram. So, the extra images taken by divers from the researcher group were used to augmented the train set. The Instagram images were divided into train, validation, and test accordingly to their date. The rules for the division was: Train set: images dated until 12/31/2019 + extra images from LECOM-UFRN Validation set: images dated between 01/01/2019 to 06/30/2019 Test set: images dated between 07/01/2019 to 08/24/2021 The test set includes an interval of 2 years, due to the drop in the number of posts during the Covid-19 pandemic.The full dataset folder contains the raw labeling using the Labelme. The experiments folder contains treated datasets for the following tasks: Full images classification Sub images classification Binary semantic segmentation Binary object detection In addition, the experiments folder has an extra data from the Pacific Labeled Corals (PLC). The extra data contains 12 classes of the 20 present in the PLC, and the images patches were extracted centered in the labeled pixels with size of 224 x 224.
DOI: 10.5281/zenodo.7338207
title: #DeOlhoNosCorais: a polygonal annotated dataset to optimize coral monitoring

description: The first version of the #DeOlhoNosCorais dataset was built in collaboration with the Laboratory of Marine Ecology (LECOM) at the Federal University of Rio Grande do Norte (UFRN). The dataset contains images extracted from social networks with the hashtag “#DeOlhoNosCorais” and images provided by the LECOM. It contains 1411 images and 21 classes. Each image has two labels, its major class and the segmentation map. The labeling was performed by the LECOM researchers using the Labelme tool. The duplicate images were removed using the FiftyOne tool. One of the objectives of the dataset is to measure the viability to use machine learning to speed up the processing of analyses of the images extracted from the Instagram. So, the extra images taken by divers from the researcher group were used to augmented the train set. The Instagram images were divided into train, validation, and test accordingly to their date. The rules for the division was: Train set: images dated until 12/31/2019 + extra images from LECOM-UFRN Validation set: images dated between 01/01/2019 to 06/30/2019 Test set: images dated between 07/01/2019 to 08/24/2021 The test set includes an interval of 2 years, due to the drop in the number of posts during the Covid-19 pandemic.The full dataset folder contains the raw labeling using the Labelme. The experiments folder contains treated datasets for the following tasks: Full images classification Sub images classification Binary semantic segmentation Binary object detection In addition, the experiments folder has an extra data from the Pacific Labeled Corals (PLC). The extra data contains 12 classes of the 20 present in the PLC, and the images patches were extracted centered in the labeled pixels with size of 224 x 224.
DOI: 10.5281/zenodo.7806858
title: Seismic model and thermal age across the Juan de Fuca and Gorda Plate

description: This dataset includes three file about the seismic structure across the Juan de Fuca and Gorda Plate: RayleighPhv.nc: netcdf file of Rayleigh wave phase speed across the plates, from 10 to 80 s ThermalAge.nc: netcdf file of lithospheric apparent thermal age estimated from seismic inversion Vsv_Model.zip: zip file of Vsv estimated from seismic inversion
DOI: 10.5281/zenodo.7806857
title: Seismic model and thermal age across the Juan de Fuca and Gorda Plate

description: This dataset includes three file about the seismic structure across the Juan de Fuca and Gorda Plate: RayleighPhv.nc: netcdf file of Rayleigh wave phase speed across the plates, from 10 to 80 s ThermalAge.nc: netcdf file of lithospheric apparent thermal age estimated from seismic inversion Vsv_Model.zip: zip file of Vsv estimated from seismic inversion
DOI: 10.6084/m9.figshare.22350886
title: Datasets for "Chemical Imaging Reveals Diverse Functions of Tricarboxylic Acid Metabolites in Root Growth and Development"

description: The dataset provides the raw and derived mass spectrometry data files in support of the manuscript, "Chemical Imaging Reveals Diverse Functions of Tricarboxylic Acid Metabolites in Root Growth and Development." Please see research article citation below. <br> In brief, this dataset includes: <strong>Higher Resolution DESI-MSI </strong>files for ten B73 maize root sections, described in detail in the accompanying Excel Guide "B73_ROOT_DESI_MSI_GUIDE" <em>(.raw, .mzML, and .imzML formats)</em> <strong>Lower Resolution DESI-MSI</strong> files for 1 maize root section <em>(.raw, .mzML, and .imzML formats)</em> <strong>ESI-MS/MS</strong> of bulk B73 maize root extract to accompany the DESI-MSI data. A detailed Excel Guide "MS_MS_GUIDE" is provided. <em>(.raw format)</em> <strong>HPLC-MS/MS</strong> data for maize roots exogenously treated with 10 mM TCA cycle metabolites <em>(.raw format)</em> <br> Research Article Citation: Zhang, T., Noll, S.E., Peng, J.T. <em>et al.</em> Chemical imaging reveals diverse functions of tricarboxylic acid metabolites in root growth and development. <em>Nat Commun</em> <strong>14</strong>, 2567 (2023). https://doi.org/10.1038/s41467-023-38150-z
DOI: 10.5281/zenodo.7188133
title: Dataset from 'Klever, L., Beyvers, M., Fiehler, K., Mamassian, P., & Billino, J. (2023). Cross-modal metacognition: Visual and tactile confidence share a common scale. Journal of Vision, 23(5): 3, 1-16. doi: https://doi.org/10.1167/jov.23.5.1

description: We provide two files:<br> - "data.txt": data file containing the data of our final sample (N=54) on which analyses are based<br> - "column_description.txt": description file providing information on the content of each column in the data file ___________________________________________<br> For further questions, please contact:<br> jutta.billino[at]psychol.uni-giessen.de
description: This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project number 222641018 – SFB/TRR 135 TP B5 / A4
DOI: 10.5281/zenodo.7188132
title: Dataset from 'Klever, L., Beyvers, M., Fiehler, K., Mamassian, P., & Billino, J. (2023). Cross-modal metacognition: Visual and tactile confidence share a common scale. Journal of Vision, 23(5): 3, 1-16. doi: https://doi.org/10.1167/jov.23.5.1

description: We provide two files:<br> - "data.txt": data file containing the data of our final sample (N=54) on which analyses are based<br> - "column_description.txt": description file providing information on the content of each column in the data file ___________________________________________<br> For further questions, please contact:<br> jutta.billino[at]psychol.uni-giessen.de
description: This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project number 222641018 – SFB/TRR 135 TP B5 / A4
DOI: 10.18112/openneuro.ds004386.v1.1.1
title: fc-reliability-spinalcord
DOI: 10.34740/kaggle/ds/3210145
title: Hamilton County Jail Data