cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4467632
title: Bilingual English-German word embedding models for scientific text

description: This data set contains three word embedding models, constructed from the same training corpus of English and German parallel scientific texts (abstracts and research project descriptions). All text was pre-processed by language-specific stemming with the Porter stemming algorithm, removing numbers, and lower-casing. The first model is a 1000-dimensional Latent Semantic Analysis model, constructed from concatenating the English and German texts. The input data was a m×n (297,852×923,864) document-term matrix of tf-idf weights. This was processed with truncated SVD. There are two files, the word vectors in file lsa_1000_Vmat.csv (the V* term by latent factors matrix of right singular values) and the dimension weights in lsa_1000_d_weights.csv (the 1000 values of the diagonal of the \(\Sigma\) matrix. lsa_1000_Vmat.csv has two fields, the term and its vector representation in LSA space, separated by a "|" character. The structure looks like this: tarifplural|{5.00599733151825e-08,-1.43071379136936e-08,8.32862290483082e-08,-6.08010721687266e-08,1.15831140150142e-07,-2.46470313387358e-08,3.43215595753282e-07,6.24301666802575e-07,-2.62907158945831e-07,-1.04120313981517e-07,4.5864574355164e-07,-2.31799632277312e-07,8.37354377858843e-07,8.22507467711628e-07,4.07585381069368e-07,-4.26358988941922e-08,-8.38652991154651e-07,1.98091851171759e-07,-3.94768548759816e-08,-4.28802181962385e-07, ...} The other two models are a basic Random Indexing and a Reflective Random Indexing model, contained in same file, RI_training.csv. Both models have 1000 dimensions. The data structure is as follows. language: either "en" (English) or "de" (German), the language of the term term: the term as a character string term_collection_count: integer, number of times the term occurred in the training data c_vector: vector of 1000 reals, RI context vector of the term. formatted like this: "{0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.12309149,0,0,-0.12309149,0,0,0,0,0,0,0,0,0,0,0,0,0,0, ...}" n_docs: integer, number of different documents which contained the term c_vector_o2: vector of 1000 reals, RRI context vector of the term, formatted like c_vector above 1,034,860 rows. All files are aggressively compressed with GNU gzip and will require much more disk space when uncompressed. Note the special formatting of the vector numeric variables, which are different for the two models.
description: Funding was provided by the German Federal Ministry of Education and Research [grant numbers 01PQ16004 and 01PQ17001
DOI: 10.5281/zenodo.4467926
title: Ichneumonoidea records in Southeast Asia (until 2019)

description: This dataset is a list of parasitoid wasps in the superfamily Ichneumonoidea recorded in Southeast Asia. All described species in this group were complied until the end of 2019.
DOI: 10.5281/zenodo.4467925
title: Ichneumonoidea records in Southeast Asia (until 2019)

description: This dataset is a list of parasitoid wasps in the superfamily Ichneumonoidea recorded in Southeast Asia. All described species in this group were complied until the end of 2019.
DOI: 10.17037/data.00002076
title: Therapy codelist - Proton Pump Inhibitors BNF codes

description: BNF codes for Proton Pump Inhibitors
DOI: 10.5281/zenodo.3966773
title: Data for: Historical earthquake scenarios for the middle strand of the North Anatolian Fault deduced from archeo-damage inventory and building deformation modeling

description: This dataset is associated to the article "Historical earthquake scenarios for the middle strand of the North Anatolian Fault deduced from archeo-damage inventory and building deformation modeling " published in Seismological Research Letters (link). It includes the following: The annotated photographs of the EAE (Earthquake Archeological Effects) inventoried in Iznik ("EAE_xxx.pdf"). The 3D displacement signals used as input for obelisk modeling ("Displacement_xxx"). The output obelisk displacement curves and final block shift values relative to base ("Obelisk_block_motion.pdf").
description: EAE are provided with ID codes. This code is composed of a prefix related to the nature or category of building (AQ for the aqueduct, W for the defensive walls, C for the intra muros buildings and O for the obelisk) and a number. For suspected post-seismic repairs and constructions, an R is added at the beginning of the ID. In the 3D displacement signals, the time step is 0.5e-5 s. The columns correspond to N, E and Z motions from left to right. Acknowledgements: This work has been supported by the MISTRALS-ENVIMED program (NAFIGEA project), the INSU ALEAS program (France), Labex OSUG@2020 (Investissements d'avenir – ANR10 LABX56, France), and ANR CE03-2019 Basiliznik-secrets.
DOI: 10.5281/zenodo.3966772
title: Data for: Historical earthquake scenarios for the middle strand of the North Anatolian Fault deduced from archeo-damage inventory and building deformation modeling

description: This dataset is associated to the article "Historical earthquake scenarios for the middle strand of the North Anatolian Fault deduced from archeo-damage inventory and building deformation modeling " published in Seismological Research Letters (link). It includes the following: The annotated photographs of the EAE (Earthquake Archeological Effects) inventoried in Iznik ("EAE_xxx.pdf"). The 3D displacement signals used as input for obelisk modeling ("Displacement_xxx"). The output obelisk displacement curves and final block shift values relative to base ("Obelisk_block_motion.pdf").
description: EAE are provided with ID codes. This code is composed of a prefix related to the nature or category of building (AQ for the aqueduct, W for the defensive walls, C for the intra muros buildings and O for the obelisk) and a number. For suspected post-seismic repairs and constructions, an R is added at the beginning of the ID. In the 3D displacement signals, the time step is 0.5e-5 s. The columns correspond to N, E and Z motions from left to right. Acknowledgements: This work has been supported by the MISTRALS-ENVIMED program (NAFIGEA project), the INSU ALEAS program (France), Labex OSUG@2020 (Investissements d'avenir – ANR10 LABX56, France), and ANR CE03-2019 Basiliznik-secrets.
DOI: 10.5281/zenodo.4467758
title: Dataset related to "Girth analysis and design of periodically time-varying SC-LDPC codes"

description: This archive contains the parity-check matrices of the codes considered in the paper "Girth analysis and design of periodically time-varying SC-LDPC codes". Two representations are given: the exponent matrix in time-varying form and the transposed syndrome former matrix in the "alist" format, described in http://www.inference.org.uk/mackay/codes/alist.html. The archive also contains the following MATLAB support functions:<br> <br> - "expTIfromexpTV.m" returns the exponent matrix in time-invariant form, given the exponent matrix in time-varying form<br> - "expTVfromexpTI.m" returns the exponent matrix in time-varying form, given the exponent matrix in time-invariant form<br> - "alist2sparse.m" returns a sparse binary matrix variable, given a string containing the name of the alist format file<br> - "sparse2alist.m" writes the alist format file for the input sparse binary matrix, with file name specified as second input<br>
DOI: 10.5281/zenodo.4467959
title: Data associated to the manuscript "Size-dependence of hydrophobic hydration at electrified gold/water interfaces"

description: Contains input files and data used to generate the figures of the article: Size-dependence of hydrophobic hydration at electrified gold/water interfaces Alessandra Serva, Mathieu Salanne, Martina Havenith and Simone Pezzotti, <em>arXiv</em>, 2011.08825, 2020 https://arxiv.org/abs/2011.08825 The folder <em>typical_input_files</em> contains typical MetalWalls input files used to perform the simulations. The folder <em>DATA_ASCII_FIGURES</em> contains the processed data used to plot all the figures of the paper.
DOI: 10.5281/zenodo.4467958
title: Data associated to the manuscript "Size-dependence of hydrophobic hydration at electrified gold/water interfaces"

description: Contains input files and data used to generate the figures of the article: Size-dependence of hydrophobic hydration at electrified gold/water interfaces Alessandra Serva, Mathieu Salanne, Martina Havenith and Simone Pezzotti, <em>arXiv</em>, 2011.08825, 2020 https://arxiv.org/abs/2011.08825 The folder <em>typical_input_files</em> contains typical MetalWalls input files used to perform the simulations. The folder <em>DATA_ASCII_FIGURES</em> contains the processed data used to plot all the figures of the paper.
DOI: 10.6084/m9.figshare.12029526
title: PheroMod

description: There are 5 datasets in total:<br><br><b>Dataset: Learning, Memory</b>It contains data used for Figures 1 - 3 - S1 - S3 <br><br><b>Dataset: Calcium Imaging</b>It contains data used for Figures 2<br><b>Dataset: Memory recall single exposure</b><br>It contains data used for Figures S2<br><br><b>Dataset: Memory recall double exposure</b><br>It contains data used for Figures S5<br><br><b>Dataset: Pharmacology</b>It contains data used for Figures 4 - S4<br>
DOI: 10.17037/data.00002077
title: Clinical codelist - Asthma read codes

description: Read codes for Asthma.
DOI: 10.5281/zenodo.4467896
title: qdgc Israel

description: QDGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.<br> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc<br> <br> <br> The attributes for each table are:<br> qdgc Unique Quarter Degree Grid Cell reference string<br> area_reference Country<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry<br> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <br> Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000)<br> <br> <br> Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc<br> <br> <br> Thankyou<br> --------<br> The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them:<br> - Tanzania Wildlife Research Institute<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey<br> <br> <br> References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com
description: QDGC goes to level 9 for Israel. DEcompressed size is 0,67 GB.
DOI: 10.5281/zenodo.4467895
title: qdgc Israel

description: QDGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.<br> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc<br> <br> <br> The attributes for each table are:<br> qdgc Unique Quarter Degree Grid Cell reference string<br> area_reference Country<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry<br> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <br> Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000)<br> <br> <br> Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc<br> <br> <br> Thankyou<br> --------<br> The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them:<br> - Tanzania Wildlife Research Institute<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey<br> <br> <br> References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com
description: QDGC goes to level 9 for Israel. DEcompressed size is 0,67 GB.
DOI: 10.5281/zenodo.4467820
title: Free coherent evolution of a coupled atomic spin system initialized by electron scattering

description: This folder contains all data and all processing files for the paper titled "Free coherent evolution of a coupled atomic spin system initialized by electron scattering". See readme file for more information.
DOI: 10.17037/data.00002078
title: Clinical codelist - Asthma ICD-10 codes

description: ICD-10 codes for asthma
DOI: 10.5281/zenodo.4463201
title: Data set of the article: Language Bias in the Google Scholar Ranking Algorithm

description: Data of investigation published in the article Cristòfol Rovira; Lluís Codina; Carlos Lopezosa Language Bias in the Google Scholar Ranking Algorithm. Future Internet, 2021, 13. <strong>Abstract: </strong>The visibility of academic articles or conference papers depends on their being easily found in academic search engines, above all in Google Scholar. To enhance this visibility, search engine optimization (SEO) has been applied in recent years to academic search engines in order to optimize documents and, thereby, ensure they are better ranked in search pages (i.e., academic search engine optimization or ASEO). To achieve this degree of optimization, we first need to further our understanding of Google Scholar’s relevance ranking algorithm, so that, based on this knowledge, we can highlight or improve those characteristics that academic documents already present and which are taken into account by the algorithm. This study seeks to advance our knowledge in this line of research by determining whether the language in which a document is published is a positioning factor in the Google Scholar relevance ranking algorithm. Here, we employ a reverse engineering research methodology based on a statistical analysis that uses Spearman’s correlation coefficient. The results obtained point to a bias in multilingual searches conducted in Google Scholar with documents published in languages other than in English being systematically relegated to positions that make them virtually invisible. This finding has important repercussions, both for conducting searches and for optimizing positioning in Google Scholar, being especially critical for articles on subjects that are expressed in the same way in English and other languages, the case, for example, of trademarks, chemical compounds, industrial products, acronyms, drugs, diseases, etc.
DOI: 10.5281/zenodo.4463200
title: Data set of the article: Language Bias in the Google Scholar Ranking Algorithm

description: Data of investigation published in the article Cristòfol Rovira; Lluís Codina; Carlos Lopezosa Language Bias in the Google Scholar Ranking Algorithm. Future Internet, 2021, 13. <strong>Abstract: </strong>The visibility of academic articles or conference papers depends on their being easily found in academic search engines, above all in Google Scholar. To enhance this visibility, search engine optimization (SEO) has been applied in recent years to academic search engines in order to optimize documents and, thereby, ensure they are better ranked in search pages (i.e., academic search engine optimization or ASEO). To achieve this degree of optimization, we first need to further our understanding of Google Scholar’s relevance ranking algorithm, so that, based on this knowledge, we can highlight or improve those characteristics that academic documents already present and which are taken into account by the algorithm. This study seeks to advance our knowledge in this line of research by determining whether the language in which a document is published is a positioning factor in the Google Scholar relevance ranking algorithm. Here, we employ a reverse engineering research methodology based on a statistical analysis that uses Spearman’s correlation coefficient. The results obtained point to a bias in multilingual searches conducted in Google Scholar with documents published in languages other than in English being systematically relegated to positions that make them virtually invisible. This finding has important repercussions, both for conducting searches and for optimizing positioning in Google Scholar, being especially critical for articles on subjects that are expressed in the same way in English and other languages, the case, for example, of trademarks, chemical compounds, industrial products, acronyms, drugs, diseases, etc.
DOI: 10.5517/ccdc.csd.cc21hn9j
title: CCDC 1891877: Experimental Crystal Structure Determination

description: Related Article: Ivelise Dimbarre Lao Guimarães, Flávia Marszaukowski, Renan Ribeiro, Sergio Ricardo de Lazaro, Kátia Mara de Oliveira, Alzir Azevedo Batista, Patrícia Castellen, Ellen Wrobel, Jarem Raul Garcia, René T. Boeré, Karen Wohnrath|2020|J.Organomet.Chem.|931|121599|doi:10.1016/j.jorganchem.2020.121599
DOI: 10.5517/ccdc.csd.cc21hn8h
title: CCDC 1891876: Experimental Crystal Structure Determination

description: Related Article: Ivelise Dimbarre Lao Guimarães, Flávia Marszaukowski, Renan Ribeiro, Sergio Ricardo de Lazaro, Kátia Mara de Oliveira, Alzir Azevedo Batista, Patrícia Castellen, Ellen Wrobel, Jarem Raul Garcia, René T. Boeré, Karen Wohnrath|2020|J.Organomet.Chem.|931|121599|doi:10.1016/j.jorganchem.2020.121599
DOI: 10.21227/8yz8-ds19
title: Lymphedema measurements (including periods of curative treatments)

description: This dataset consists of 16 tables of measurements of the evolution of the two arms of women who underwent a mastectomy of one breast at the University Hospitals of Strasbourg (HUS) between 2011 and 2019, and who presented a lymphedema. The measurements correspond to repeated averages of perimeters (in cm) of the arms in different positions from the shoulder (indicated by a number in cm). Elements extracted from this dataset have been used by Sorbonne University, Quantmetry, the Institute of Mathematics of Toulouse and HUS to conduct a study of digital twinning of a connected object, in addition to some other data. This work was submitted to IEEE Access in 2020.
DOI: 10.15468/erqfrh
title: A new species of Trimma (Pisces: Gobiidae) from western Thailand, north-eastern Indian Ocean

description: This dataset contains the digitized treatments in Plazi based on the original journal article Winterbottom, Richard (2021): A new species of Trimma (Pisces: Gobiidae) from western Thailand, north-eastern Indian Ocean. Zootaxa 4915 (2): 264-272, DOI: https://doi.org/10.11646/zootaxa.4915.2.6
DOI: 10.6084/m9.figshare.11370522
title: Phylogenomics construction and molecular dating analysis for the project: DNA replication direction evolution in Pseudoalteromonas

description: Sequences, alignments, gene family clustering results, and phylogenies of the marine bacteria genus <i>Pseudoalteromonas </i>for the paper "Evolutionary Trajectory of the Replication Mode of Bacterial Replicons" published in <i>mBio</i>. The scripts for processing are also available. Molecular dating analysis with MCMCTree is also provided. Please see README for descriptions. The methods are detailed in the original paper.<br>.
DOI: 10.48370/ofd/t463hh/zrracy
title: home_ranges_moose.tab

description: :unav
DOI: 10.48370/ofd/t463hh
title: Moose home range size estimates (AKDE)

description: The database include information on moose home range sizes estimated by AKDE method.
DOI: 10.5281/zenodo.4152957
title: Replication Package for the Paper: "An Empirical Analysis of the Manual Detection of Code Smells via Code Review"

description: This repository contains the data and results from the paper "An Empirical Analysis of the Manual Detection of Code Smells via Code Review" submitted to SANER 2021. <strong>1. "data.zip" contains the following three folders: </strong> <strong>1). data folder</strong> The data folder contains the retrieved 1,174 reviews that discuss code smells. Each review includes four parts: Code Change URL, Code Smell, Code Smell Discussion, and Source Code URL. <strong>2). scripts folder</strong> The scripts folder contains the Python script that was used to search for code smell terms and the list of code smell terms. <em>keywords.txt</em> contains the keywords associated with code smells, such as "smell, duplication, and dead". <em>get_changes.py</em> is used for getting code changes from OpenStack. <em>get_comments.py</em> is used for getting review comments for each code change. <em>keywords_search.py</em> is used for searching review comments that contain at least one keyword. <em>keywords_improve.py</em> is used for improving the keyword-based mining approach. <em>tools.py</em> is used for supporting the process of keywords improving. <strong>3). project folder</strong> The project folder contains the MAXQDA project files. The files can be opened by MAXQDA 12 or higher versions, which are available at https://www.maxqda.com/ for download. You may also use the free 14-day trial version of MAXQDA 2018, which is available at https://www.maxqda.com/trial for download. <em>Data Labeling & Encoding for RQ2.mx12</em> is the results of data labeling and encoding for RQ2, which were analyzed by the MAXQDA tool. <em>Data Labeling & Encoding for RQ3.mx12</em> is the results of data labeling and encoding for RQ3, which were analyzed by the MAXQDA tool. <strong>2. Keywords associated with code smells.pdf</strong> This file contains the final set of keywords associated with code smells that we identified by following the systematic approach proposed by Bosu and his colleagues in their paper: Identifying the Characteristics of Vulnerable Code Changes: An Empirical Study, FSE 2014.