cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3895119
title: Dataset: A structural topic model approach to scientific reorientation of economics and chemistry after German reunification

description: Dataset to: A structural topic model approach to scientific reorientation of economics and chemistry after German reunification Please see readme.txt for details
DOI: 10.5281/zenodo.3909364
title: Data and results for manuscript "A monitoring system for spatiotemporal electrical self-potential measurements in cryospheric environments"

description: This package contains data and python scripts required to reproduce the figures of the accepted manuscript Weigand, M., Wagner, F. M., Limbrock, J. K., Hilbich, C., Hauck, C., and Kemna, A.: A monitoring system for spatiotemporal electrical self-potential measurements in cryospheric environments, Geosci. Instrum. Method. Data Syst. Discuss., https://doi.org/10.5194/gi-2020-5, 2020. Final Paper DOI: https://doi.org/10.5194/gi-9-1-2020 https://gi.copernicus.org/preprints/gi-2020-5/ Please refer to the Readme.txt file for further instructions.
DOI: 10.5281/zenodo.7189243
title: Data published in manuscript "Highest methane concentrations in an Arctic River linked to local terrestrial inputs"

description: This data is published in the manuscript: Castro-Morales, K., Canning, A., Arzberger, S., Overholt, W.A., Küsel, K., Kolle, O., Göckede, M., Zimov, N. and Körtzinger, A. (2022). Highest methane concentrations in an Arctic River linked to local terrestrial inputs. <em>Biogeosciences.</em> XX, XXX-XXX. https://doi.org/10.5194/bg-XX-XXX-2022. The data contains the water properties, the dissolved gas concentrations and flux densities at 1-min resolution corresponding to two transects in the Kolyma River main channel and two tributaries (Ambolikha and Leonid). The data was collected between 15 and 17 June, 2019.<strong> </strong> This folder contains four data files and the file "README_Data_access_Castro-Morales_etal_CH4_Kolyma_River.txt" provides more details on the data.
DOI: 10.17632/4v5t4jhhms.1
title: GIS dataset - Housing Stock 1951-1980 Córdoba (Spain)

description: -- DESCRIPTION -- The provided material supports a research over the residential building stock in Mediterranean areas and its potential for energy improvement. Architectural, constructive, and energy-related data of existing residential buildings dating from 1951-1980 in Córdoba, a Southern Spanish city, have been extensively compiled in a dataset supported by a Geographic Information System (GIS). Five interactive web maps that contain the data collected and the results of the research are hereby provided. The generated tool is expected to help interested stakeholders in decision-making processes, and encourage the upgrading of the city stock to reach the goals set for existing buildings within the European framework. -- INSTRUCTIONS -- The structure of the GIS dataset is subdivided into five compressed folders, each one containing the corresponding interactive web map: - 01 GIS Identification and definition - 02 GIS Architectural characterization - 03 GIS Constructive definition - 04 GIS Energy assessment - 05 GIS Scenarios for energy improvement The subsequent steps need to be followed to surf on the GIS dataset: 1. STEPS FOR A START To fully consult the provided data, it needs to be downloaded to the PC. The five different compressed folders can be downloaded separately and consulted independently. IMPORTANT NOTE: all the files contained in each of the five folders must remain together. Take caution when moving any of the downloaded folders to a different PC route. 2. LAUNCH THE INTERACTIVE WEB MAPS To open the interactive web maps you must dive into each folder and click on the *.html file that will be named similarly to the host folder. All *.html files can be launched in any internet browser. 3. NAVIGATE THE INTERACTIVE WEB MAPS Once an interactive web map is launched in the browser, it appears at its whole extent. Zooming in and out, and panning over the page is enabled and will provide for a higher level of detail. 4. MANAGE THE INTERACTIVE LEGEND Each web map contains an interactive legend with ticked boxes that reveal the activation or deactivation of the information layers. Top layers overlap the bottom ones downwards, in the same order of appearance in the legend. Hence to consult the hidden ones, the layers above need to be deactivated (unticked). 5. CONSULT THE BUILDINGS INFORMATION Graphical entities within each information layer will appear provided their host layer is switched on. The information of each building will appear in a pop-up window whenever a graphical entity is selected.
DOI: 10.17632/9svzgbwcr8.1
title: Improving the accuracy of gridded population estimates in cities and slums to monitor SDG 11: Evidence from a simulation study in Namibia

description: Paper abstract: People living in slums and other deprived areas in low- and middle-income country (LMIC) cities are under-represented in censuses, and subsequently in "top-down" census-derived gridded population estimates. Modelled gridded population data are a unique source of disaggregated population information to calculate local development indicators such as the Sustainable Development Goals (SDGs). This study evaluates if, and how, “top-down” WorldPop Global (WPG) Unconstrained and Constrained datasets might be improved in a simulated LMIC urban population by incorporating slum population counts into model training. We found that the WPG-Unconstrained model, with or without slum training data, underestimated population in urban deprived areas while overestimating population in rural areas. The percent of population living in slums (SDG 11.1.1), for example, was estimated to be 20% or less compared to a "true" value of 29.5%. The WPG-Constrained model, which included building footprint auxiliary datasets, far more accurately estimated the population in all grid cells (including rural areas), and the inclusion of slum training data further improved estimates such that SDG 11.1.1 was estimated at 27.1% and 27.0%, respectively. Inclusion of building metrics and slum population training data in “top-down” gridded population models can substantially improve grid cell-level accuracy in both urban and rural areas.

Final analysis code and all derived datasets are provided in this repository to reproduce result.
DOI: 10.25430/researchdata.cab.unipd.it.00000715
title: Loading Experiment Database - Venice Lagoon (Italy)

description: This database collects the data from two original loading experiments carried out in the Venice Lagoon (Italy) at the sites of Lazzaretto Nuovo and La Grisa.
DOI: 10.5258/soton/wp00681
title: peanutButter: An R package to produce rapid-response gridded population estimates from building footprints, version 0.3.0.

description: peanutButter is an R package that allows you to produce gridded population estimates from building footprints using the "peanut butter" method of spreading people evenly among buildings based on a set of simple parameters. This package allows you to: 1) produce gridded population estimates using a bottom-up approach that applies your estimates of average people per building for urban and rural areas to each building in the corresponding settlement type, 2) produce gridded population estimates using a top-down approach that dissaggregates your population totals for administrative units evenly among buildings such that the population total per administrative unit matches those defined by the user, 3) produce gridded population estimates for specific demographic groups (i.e. age and sex), and 4) run the peanutButter Shiny application locally from the R console for a graphical user interface.
DOI: 10.5281/zenodo.5783548
title: Digitizing Los Millares (Santa Fe de Mondujar, Almería, Spain) through geospatial technologies: preserving and disseminating the archaeological heritage

description: Data originated from the research project "Digitizing Los Millares (Santa Fe de Mondujar, Almería, Spain) through geospatial technologies: preserving and disseminating the archaeological heritage"
DOI: 10.5281/zenodo.890897
title: New England Landscape Futures Landcover

description: Description to be added at future date.
DOI: 10.5255/ukda-sn-850680
title: Youth Offending and Youth Transitions: The Influence of Capital on Desistance from Crime
DOI: 10.15151/esrf-es-925344867
title: The Iberian cryoEM community BAG

description: The Iberian cryoEM BAG is a large consortium (&gt; 30 groups) composed of Portuguese and Spanish groups working in biologically relevant problems including disease related metabolic enzymes, antibiotic resistance, DNA replication and DNA maintenance, protein synthesis, virus structure and mechanisms, and macromolecular complexes involved in the control of key cellular processes like protein folding and degradation.
DOI: 10.5517/ccdc.csd.cc295hnn
title: CCDC 2120451: Experimental Crystal Structure Determination

description: Related Article: Jing-Jing Qu, Pengchao Bai, Wan-Nian Liu, Zi-Lin Liu, Jun-Fang Gong, Jia-Xiang Wang, Xinju Zhu, Bing Song, Xin-Qi Hao|2022|Eur.J.Med.Chem.|244|114859|doi:10.1016/j.ejmech.2022.114859
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.cc291hlg
title: CCDC 2116605: Experimental Crystal Structure Determination

description: Related Article: Jie Ma, Rong Feng, Hao-Lin Zhou, Er-Jun Hao, Zhen Shi, Zhi-Bing Dong|2022|J.Org.Chem.|87|14342|doi:10.1021/acs.joc.2c01789
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.cc2bgpq7
title: CCDC 2159079: Experimental Crystal Structure Determination

description: Related Article: Guoqi Zhang, Haisu Zeng, Shengping Zheng, Michelle C. Neary, Pavel A. Dub|2022|iScience|25|105119|doi:10.1016/j.isci.2022.105119
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.cc2bgpr8
title: CCDC 2159080: Experimental Crystal Structure Determination

description: Related Article: Guoqi Zhang, Haisu Zeng, Shengping Zheng, Michelle C. Neary, Pavel A. Dub|2022|iScience|25|105119|doi:10.1016/j.isci.2022.105119
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.cc2bgps9
title: CCDC 2159081: Experimental Crystal Structure Determination

description: Related Article: Guoqi Zhang, Haisu Zeng, Shengping Zheng, Michelle C. Neary, Pavel A. Dub|2022|iScience|25|105119|doi:10.1016/j.isci.2022.105119
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.cc2bgptb
title: CCDC 2159082: Experimental Crystal Structure Determination

description: Related Article: Guoqi Zhang, Haisu Zeng, Shengping Zheng, Michelle C. Neary, Pavel A. Dub|2022|iScience|25|105119|doi:10.1016/j.isci.2022.105119
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.cc2bgpvc
title: CCDC 2159083: Experimental Crystal Structure Determination

description: Related Article: Guoqi Zhang, Haisu Zeng, Shengping Zheng, Michelle C. Neary, Pavel A. Dub|2022|iScience|25|105119|doi:10.1016/j.isci.2022.105119
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.cc2bgpwd
title: CCDC 2159084: Experimental Crystal Structure Determination

description: Related Article: Guoqi Zhang, Haisu Zeng, Shengping Zheng, Michelle C. Neary, Pavel A. Dub|2022|iScience|25|105119|doi:10.1016/j.isci.2022.105119
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.cc2bkhkz
title: CCDC 2161771: Experimental Crystal Structure Determination

description: Related Article: Moseen A. Shaikh, Pragnya Paramita Samal, Akash S. Ubale, Sailaja Krishnamurty, Boopathy Gnanaprakasam|2022|J.Org.Chem.|87|14155|doi:10.1021/acs.joc.2c01701
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.cc2bspvp
title: CCDC 2168693: Experimental Crystal Structure Determination

description: Related Article: Sumera Zaib, Aliya Ibrar, Imtiaz Khan, Rosa M. Gomila, Muhammad Umair Tariq, Jim Simpson, Christopher John McAdam, Hamad Alrbyawi, Rami Adel Pashameah, Eman Alzahrani, Abd-ElAziem Farouk, Antonio Frontera|2022|J.Mol.Struct.|1273|134387|doi:10.1016/j.molstruc.2022.134387
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.cc2bspwq
title: CCDC 2168694: Experimental Crystal Structure Determination

description: Related Article: Sumera Zaib, Aliya Ibrar, Imtiaz Khan, Rosa M. Gomila, Muhammad Umair Tariq, Jim Simpson, Christopher John McAdam, Hamad Alrbyawi, Rami Adel Pashameah, Eman Alzahrani, Abd-ElAziem Farouk, Antonio Frontera|2022|J.Mol.Struct.|1273|134387|doi:10.1016/j.molstruc.2022.134387
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.cc2bspys
title: CCDC 2168696: Experimental Crystal Structure Determination

description: Related Article: Sumera Zaib, Aliya Ibrar, Imtiaz Khan, Rosa M. Gomila, Muhammad Umair Tariq, Jim Simpson, Christopher John McAdam, Hamad Alrbyawi, Rami Adel Pashameah, Eman Alzahrani, Abd-ElAziem Farouk, Antonio Frontera|2022|J.Mol.Struct.|1273|134387|doi:10.1016/j.molstruc.2022.134387
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.cc2bttnn
title: CCDC 2169772: Experimental Crystal Structure Determination

description: Related Article: Wanli Zhou, Yuecen Guan, Yanping Zheng, Xiao Chen, Jinyang Li, Xuekun Liu, Jun Peng|2022|Cryst.Growth Des.|22|6588|doi:10.1021/acs.cgd.2c00805
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.cc2bttqq
title: CCDC 2169774: Experimental Crystal Structure Determination

description: Related Article: Wanli Zhou, Yuecen Guan, Yanping Zheng, Xiao Chen, Jinyang Li, Xuekun Liu, Jun Peng|2022|Cryst.Growth Des.|22|6588|doi:10.1021/acs.cgd.2c00805
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.cc2c3b61
title: CCDC 2177942: Experimental Crystal Structure Determination

description: Related Article: Benita Barton, Mino R. Caira, Ulrich Senekal, Eric C Hosten|2022|Cryst.Growth Des.|22|6818|doi:10.1021/acs.cgd.2c00990
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.cc279872
title: CCDC 2064483: Experimental Crystal Structure Determination

description: Related Article: Shan Huang, Dean S. Venables, Simon E. Lawrence|2022|Cryst.Growth Des.|22|6504|doi:10.1021/acs.cgd.2c00722
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.cc2cllrb
title: CCDC 2192622: Experimental Crystal Structure Determination

description: Related Article: Guoqi Zhang, Haisu Zeng, Shengping Zheng, Michelle C. Neary, Pavel A. Dub|2022|iScience|25|105119|doi:10.1016/j.isci.2022.105119
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.cc2cm5pw
title: CCDC 2193178: Experimental Crystal Structure Determination

description: Related Article: Fan-Lin Zeng, Zhi-Yang Zhang, Peng-Cheng Yin, Fu-Kun Cheng, Xiao-Lan Chen, Ling-Bo Qu, Zhong-Yan Cao, Bing Yu|2022|Org.Lett.|24|7912|doi:10.1021/acs.orglett.2c02930
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.4621402
title: Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection

description: Full-Text PDF<br> Title: Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection<br> Authors: Jan Philip Wahle, Terry Ruas, Norman Meuschke, and Bela Gipp<br> Contact email: wahle@uni-wuppertal.de; ruas@uni-wuppertal.de<br> Venue: JCDL<br> Year: 2021<br> ================================================================<br> <strong>Dataset Description:</strong> <em><strong>Training:</strong></em><br> 1,474,230 aligned paragraphs (98,282 original, 1,375,948 paraphrased with 3 models and 5 hyperparameter configurations each 98,282) extracted from 4,012 (English) Wikipedia articles. <em><strong>Testing:</strong></em><br> BERT-large (cased): <br> arXiv - Original - 20,966; Paraphrased - 20,966; <br> Theses - Original - 5,226; Paraphrased - 5,226;<br> Wikipedia - Original - 39,241; Paraphrased - 39,241;<br> <br> RoBERTa-large (cased): <br> arXiv - Original - 20,966; Paraphrased - 20,966; <br> Theses - Original - 5,226; Paraphrased - 5,226;<br> Wikipedia - Original - 39,241; Paraphrased - 39,241; Longformer-large (uncased): <br> arXiv - Original - 20,966; Paraphrased - 20,966; <br> Theses - Original - 5,226; Paraphrased - 5,226;<br> Wikipedia - Original - 39,241; Paraphrased - 39,241; ================================================================ Dataset Structure: <strong>[og]</strong> folder: original. The original documents are split by the data source with the following folders: <strong>[arxiv]</strong> <strong>[thesis]</strong> <strong>[wikipedia]</strong> <strong>[wikipedia_train]</strong> <strong>[`model_name`_mlm_prob_`probability`] (e.g., bert-large-cased_mlm_prob_0.15): </strong>contains all paraphrased examples using the model with name `model_name` and Masked Language Modeling probability `probability`.<br> Each paraphrase model/probability folder contains the corresponding paraphrased documents according to<strong> [of]</strong>: <strong>[arxiv]</strong> <strong>[thesis]</strong> <strong>[wikipedia]</strong> <strong>[wikipedia_train]</strong> hparams.yml hparams.yml contains the hyperparameters to reconstruct the dataset using the official repository. ================================================================ Files:<br> On the lowest folder level, each `.txt` file contains exactly one paragraph. The filename contains either "ORIG" for original, or "SPUN" for paraphrased. ================================================================ Code:<br> To avoid misuse of the code for constructing machine-paraphrased plagiarism, you must consent to our Terms and Conditions and send the signed version via mail to one of the contact addresses above to obtain access to our repository (see TermsAndConditions.pdf).