cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6371720
title: Datasets-for-the-SMoC-paper

description: Datasets for a journal paper "Spatial mode-based calibration (SMoC) of forecast precipitation fields from numerical weather prediction models". In the SMoC paper, the performance of SMoC is evaluated by applying it to forecasts of substantive precipitation events over the Brisbane Drainage Basin in eastern Australia. This repository provides datasets of precipitation forecasts (3 years) and observations (33 years) at a grid spacing of 0.05° x 0.05° and on a daily basis for this case study: (1) Forecasts: "3-year forecast data.nc"; (2) Corresponding observations: "3-year observation data.nc"; (3) Long-term observations: "30-year observation data.nc". These three files are compressed into "Forecast and observation data.zip". Author name: Pengcheng Zhao. Affiliation: Department of Infrastructure Engineering, Faculty of Engineering and Information Technology, The University of Melbourne. Email: pengcheng@student.unimelb.edu.au.
DOI: 10.6084/m9.figshare.19306724
title: Supplementary File S1a primary_contig_to_scaffold_AGP_file

description: This AGP file is used to constructs scaffolds (pseudomolecules) from the primary contigs contained at NCBI under the accession number: JAIFGZ000000000. Canu assembled contigs were purged using Purge Haplotigs, and the resulting KEEP and REPEAT contigs were uploaded to NCBI.<br>
DOI: 10.6084/m9.figshare.19306724.v1
title: Supplementary File S1a primary_contig_to_scaffold_AGP_file

description: This AGP file is used to constructs scaffolds (pseudomolecules) from the primary contigs contained at NCBI under the accession number: JAIFGZ000000000. Canu assembled contigs were purged using Purge Haplotigs, and the resulting KEEP and REPEAT contigs were uploaded to NCBI.<br>
DOI: 10.25919/wjk3-et30
title: Parkes observations for project P737 semester 2021OCTS_10

description: The aim of this proposal is to carry out tests of the new backend instruments which cannot be carried out during standard maintenance periods. The scheduled time is used to measure beam shapes, determine polarisation calibration solutions and commission the National Facility observing modes for the new wide-band receiver.
DOI: 10.5519/qd.tr3wzxkl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.15162708
title: Supplementary File S3c – Omicsbox GFF3 annotation of protein coding genes in the contigs

description: This file contains functionally annotated protein-coding genes for the O. australiensis Keep River assembly in Contig form at NCBI: JAIFGZ000000000.
DOI: 10.6084/m9.figshare.15162708.v1
title: Supplementary File S3c – Omicsbox GFF3 annotation of protein coding genes in the contigs

description: This file contains functionally annotated protein-coding genes for the O. australiensis Keep River assembly in Contig form at NCBI: JAIFGZ000000000.
DOI: 10.6084/m9.figshare.19306772
title: Supplementary File S2b – EDTA GFF3 annotation of repeat sequences in the scaffolds

description: This file contains the repeat elements identified by Extensive de novo TE Annotator (EDTA) in the <i>O. australiensis</i> Keep river genome assembly. It is in the format of a GFF3 and maps to the assembly when scaffolded using the supplied AGP file (Supplementary File S1a).
DOI: 10.6084/m9.figshare.19306772.v1
title: Supplementary File S2b – EDTA GFF3 annotation of repeat sequences in the scaffolds

description: This file contains the repeat elements identified by Extensive de novo TE Annotator (EDTA) in the <i>O. australiensis</i> Keep river genome assembly. It is in the format of a GFF3 and maps to the assembly when scaffolded using the supplied AGP file (Supplementary File S1a).
DOI: 10.6084/m9.figshare.19306787.v1
title: Supplementary File S4d – Omicsbox GFF3 annotation of protein coding genes in the scaffolds.gff3

description: This files contains information about functionally-annotated protein-coding genes for the scaffolded version of the <i>O. australiensis</i> Keep River genome assembly stored at NCBI in contig form: JAIFGZ000000000. Scaffolds can be obtained using the AGP file provided in this repository to order and orient the contigs. Note: contigs that could not be placed within scaffolds were annotated as individual contigs, not as ChrUn. Therefore, when using the AGP file to build scaffolds from the contigs, ChrUn lines should be excluded. Also note: this files contains annotations for the discarded contigs (JUNK and HAPLOTIG).
DOI: 10.14457/cu.the.2014.1586
title: Measurement of minimum miscibility pressure of carbon dioxide in Thai crude oil
DOI: 10.14457/cu.the.2014.1587
title: Study of improving carbon dioxide adsorption capacity using adsorbents impregnated with piperazine
DOI: 10.5281/zenodo.6381327
title: Application of GIS and Spatial Statistics in identifying the rental value of shop lot in a shopping mall based on location factor

description: GIS Property Data
DOI: 10.5281/zenodo.6381326
title: Application of GIS and Spatial Statistics in identifying the rental value of shop lot in a shopping mall based on location factor

description: GIS Property Data
DOI: 10.6084/m9.figshare.19403327.v1
title: ISUAL energetic lightning list.txt

description: The ISUAL energetic lightning list include the trigger time, lightning index, light pixels, lon/lat and spectral characteristics. <br>
DOI: 10.34740/kaggle/dsv/3350675
title: Contrastive Language Image Pretraining by openai
DOI: 10.6084/m9.figshare.19367234
title: Data for Predicting Quality using ML

description: Data set to do:Analysis of ML Techniques in Predicting the Quality of High-Strength Titanium Alloy parts manufactured, using a Cyber-Physical Quality System Framework
DOI: 10.6084/m9.figshare.19406693.v1
title: Curlie Dataset - Language-agnostic Website Embedding and Classification

description: **************** Full Curlie dataset ****************<br><br>This dataset contains the URL scrapped from curlie.org alongside with their multilingual labels. The label correspond to the sub-category where the URL was referenced in Curlie. We also provide a mapping between english labels and labels from other languages for alignment. The URLs have been filtered to only contain homepages. Each distint URL is indexed with a unique identifier (uid).<br><br>curlie.csv.gz &gt; [url, uid, label, lang] x 2,275,150 samples <br>mapping.json.gz &gt; [english_label, matchings] x 35,946 labels<br><br><br>**************** Processed Curlie dataset ****************<br><br>You find here the data used to train Homepage2vec. URLs have been further filtered out: websites listed under the Regional top-category where dropped, as well as non-accessible websites. This filtering yields 1,018,207 valid URL. The labels are aligned across languages and reduced to the 14 top-categories (classes). <br><br>Because a URL can belong to several classes, a binary vector is used. The grouping yields 885,582 distinct URL, for each of them we provide the HTML content. We also provide a visual encoding, it was obtained by forwarding a screenshot of the homepage trough a ResNet deep-learning model pretrained on ImageNet.<br><br>The training and testing sets are also given.<br><br>curlie_filtered.csv.gz &gt; [url, uid, label, lang] x 1,018,207 samples<br><br>class_vector.json.gz &gt; [uid, class_vector] x 885,582 samples<br>class_names.txt &gt; [class_name] x 14 classes<br><br>html_content.json.gz &gt; [uid, html] x 885,582 samples<br>visual_encoding.json.gz &gt; [uid, visual_encoding] x 885,582 samples<br><br>train_uid.txt &gt; [uid] x 797,023 samples<br>test_uid.txt &gt; [uid] x 88,559 samples<br><br><br>**************** Enriched Curlie dataset ****************<br><br>Thanks to Homepage2vec, we release an enriched version of Curlie. Each URL is associated to a class probability vector and to an embedding in the latent space.<br><br>outputs.json.gz &gt; [url, uid, prediction, embedding] x 885,582 samples<br><br><br>******** Notes ********<br><br>JSON files have one record per line and can be read with Pandas: e.g <i>pandas.read_json(file, orient='records', lines=True, compression='gzip')</i><br><br>
DOI: 10.5281/zenodo.6241201
title: PrISM: Precision for Integrative Structural Models

description: Datasets with input, output and scripts to reproduce results and figures from "PrISM: Precision for Integrative Structural Models". Manuscript at https://www.biorxiv.org/content/10.1101/2021.06.22.449385v4.
DOI: 10.5281/zenodo.6355283
title: Data from: Combined experimental-numerical analysis of the temperature evolution and distribution during friction surfacing

description: This dataset contains the data for the publication "Combined experimental-numerical analysis of the temperature evolution and distribution during friction surfacing".
DOI: 10.5281/zenodo.6355282
title: Data from: Combined experimental-numerical analysis of the temperature evolution and distribution during friction surfacing

description: This dataset contains the data for the publication "Combined experimental-numerical analysis of the temperature evolution and distribution during friction surfacing".
DOI: 10.6084/m9.figshare.19406693.v2
title: Curlie Dataset - Language-agnostic Website Embedding and Classification

description: **************** Full Curlie dataset ****************<br><br>This dataset contains the URL scrapped from curlie.org alongside with their multilingual labels. The label correspond to the sub-category where the URL was referenced in Curlie. We also provide a mapping between english labels and labels from other languages for alignment. The URLs have been filtered to only contain homepages. Each distint URL is indexed with a unique identifier (uid).<br><br>curlie.csv.gz &gt; [url, uid, label, lang] x 2,275,150 samples <br>mapping.json.gz &gt; [english_label, matchings] x 35,946 labels<br><br><br>**************** Processed Curlie dataset ****************<br><br>You find here the data used to train Homepage2vec. URLs have been further filtered out: websites listed under the Regional top-category where dropped, as well as non-accessible websites. This filtering yields 1,018,207 valid URL. The labels are aligned across languages and reduced to the 14 top-categories (classes). <br><br>Because a URL can belong to several classes, a binary vector is used. The grouping yields 885,582 distinct URL, for each of them we provide the HTML content. We also provide a visual encoding, it was obtained by forwarding a screenshot of the homepage trough a ResNet deep-learning model pretrained on ImageNet.<br><br>The training and testing sets are also given.<br><br>curlie_filtered.csv.gz &gt; [url, uid, label, lang] x 1,018,207 samples<br><br>class_vector.json.gz &gt; [uid, class_vector] x 885,582 samples<br>class_names.txt &gt; [class_name] x 14 classes<br><br>html_content.json.gz &gt; [uid, html] x 885,582 samples<br>visual_encoding.json.gz &gt; [uid, visual_encoding] x 885,582 samples<br><br>train_uid.txt &gt; [uid] x 797,023 samples<br>test_uid.txt &gt; [uid] x 88,559 samples<br><br>**************** Pretrained Homepage2Vec****************<br>h2v_1000_100.zip &gt; Model pretrained on all features<br>h2v_1000_100_text_only.zip &gt; Model pretrained only on textual features (no visual features from screenshots)<br><br>**************** Enriched Curlie dataset ****************<br><br>Thanks to Homepage2Vec, we release an enriched version of Curlie. Each URL is associated to a class probability vector and to an embedding in the latent space.<br><br>outputs.json.gz &gt; [url, uid, prediction, embedding] x 885,582 samples<br><br><br>******** Notes ********<br><br>JSON files have one record per line and can be read with Pandas: e.g <i>pandas.read_json(file, orient='records', lines=True, compression='gzip')</i><br><br>
DOI: 10.5281/zenodo.6381406
title: SfNet

description: SfNet was a CNN to invert Vp and Vs model from surface-wave dispersions. Feel free to contact wfy411381@stu.pku.edu.cn if you have any questions.
DOI: 10.5281/zenodo.6381405
title: SfNet

description: SfNet was a CNN to invert Vp and Vs model from surface-wave dispersions. Feel free to contact wfy411381@stu.pku.edu.cn if you have any questions.
DOI: 10.6084/m9.figshare.19410000
title: Eukaryote (18S) Taxonomy Table from The relationship between dietary trophic level, parasites and the microbiome of Pacific Walrus (<i>Odobenus rosmarus divergens</i>)

description: Taxonomic classifications for all eukaryotic OTUs identified from 18S sequence data.
DOI: 10.6084/m9.figshare.19410000.v1
title: Eukaryote (18S) Taxonomy Table from The relationship between dietary trophic level, parasites and the microbiome of Pacific Walrus (<i>Odobenus rosmarus divergens</i>)

description: Taxonomic classifications for all eukaryotic OTUs identified from 18S sequence data.
DOI: 10.6084/m9.figshare.19410006
title: Stable Isotope Values from The relationship between dietary trophic level, parasites and the microbiome of Pacific Walrus (<i>Odobenus rosmarus divergens</i>)

description: Carbon and nitrogen isotope values for individual walruses.
DOI: 10.6084/m9.figshare.19410006.v1
title: Stable Isotope Values from The relationship between dietary trophic level, parasites and the microbiome of Pacific Walrus (<i>Odobenus rosmarus divergens</i>)

description: Carbon and nitrogen isotope values for individual walruses.
DOI: 10.6084/m9.figshare.19297748
title: Sci_Rep_Stats summary_20220303.xlsx

description: This is the stats summary for the research article.
DOI: 10.6084/m9.figshare.19297748.v5
title: Sci_Rep_Stats summary_20220303.xlsx

description: This is the stats summary for the research article.
DOI: 10.6084/m9.figshare.19297748.v4
title: Sci_Rep_Stats summary_20220303.xlsx

description: This is the stats summary for the research article.
DOI: 10.6084/m9.figshare.19410117.v1
title: Supplementary table 1 from How methodological changes have impacted our understanding of population structure in threatened species: insights from tiger populations across India

description: Table showing the details of the studies that were plotted in figure 1B
DOI: 10.6084/m9.figshare.19410117
title: Supplementary table 1 from How methodological changes have impacted our understanding of population structure in threatened species: insights from tiger populations across India

description: Table showing the details of the studies that were plotted in figure 1B
DOI: 10.6084/m9.figshare.19410122
title: Rock sample data for nano-scale multicomponent multiphase thermodynamic transport behavior in nanoporous media

description: Rock sample data for the manuscript : Nano-scale multicomponent multiphase thermodynamic transport behavior in nanoporous media
DOI: 10.6084/m9.figshare.19410122.v1
title: Rock sample data for nano-scale multicomponent multiphase thermodynamic transport behavior in nanoporous media

description: Rock sample data for the manuscript : Nano-scale multicomponent multiphase thermodynamic transport behavior in nanoporous media
DOI: 10.6084/m9.figshare.19410136
title: Supplementary File 2. Supplementary experimental data from Host and gut microbiome modulate the antiparasitic activity of nectar metabolites in a bumblebee pollinator

description: Data from experiments in Fig. 1, Fig. 2, & Fig. 3; quantification of nectar compounds
DOI: 10.6084/m9.figshare.19410136.v1
title: Supplementary File 2. Supplementary experimental data from Host and gut microbiome modulate the antiparasitic activity of nectar metabolites in a bumblebee pollinator

description: Data from experiments in Fig. 1, Fig. 2, & Fig. 3; quantification of nectar compounds
DOI: 10.23729/41fa6cbf-5bb1-4f67-98a9-088bfc034f33
title: Electronic Components preview

description: Electronic components imaged to generate a 3D-model for Finite Element Method modeling, to investigate a related phenomenon from other measurements. Components are IGBT semiconductor modules, EconoPACK and HiPak. Preview of PAS dataset
DOI: 10.5281/zenodo.6381523
title: What Makes a Good Commit Message?

description: <strong>What-Makes-a-Good-Commit-Message?</strong> This repository contains the main data and scripts used in "What Makes a Good Commit Message" <strong>Dataset:</strong> The folder dataset contains the following files. literature survery.xlsx It contains the data of 46 relevant literature reviewed in this study (Section 3.2). Questionnaire.pdf It is the questionnaire sent to experienced contributors. It contains three questions. It also contains an example of the initialized questionnaire. Frequency.pdf It describes the number and proportion of occurrences of a category/subcategory. posts list.xlsx It contains all posts we studied in Sec. 3.2. sampled messages.csv It contains meta-information of 1649 labeled commit messages. label = 0 means a commit message contains "Why and What". label = 1 means a commit message contains "Neither Why nor What". label = 2 means a commit message contains "No What". label = 3 means a commit message contains "No Why". if_mulit_commit = 1 means a commit is non-atomic. new_message1 means a message after preprocessing. maintenance type and expression way.xlsx It contains the results of our RQ2: the expression ways of Why and What, as well as links to maintenance types. <strong>CommitMessage (Scripts):</strong> The folder contains the following scripts files. Preprocessor It contains the preprocessing of commit messages, including the replacement of token in the message, etc. ModelTraining It contains the code for our model training, that is, the implementation of different classification techniques.
DOI: 10.5281/zenodo.6381483
title: COSP output for the TWPICE case with varying cloud subgrid-scale parameters

description: The control experiment is named SCG_LIN, in which the domain-averaged cloud fraction and condensate from CRM_LIN are used, along with median values of <em>L</em><sub>cf</sub>, <em>L</em><sub>cw</sub> and <em>v</em>. Two sensitivity experiments were carried out for each parameter using either lower or upper quartiles, while keeping the other two parameters unchanged. CRM_LIN CRM output with LIN microphysics CRM_SAM CRM output with SAM1MOM microphysics CRM_M2005 CRM output with M2005 microphysics SCG_LIN SCG output based on domain-averaged clouds from CRM_LIN and median subgrid-scale parameters (<em>L</em><sub>cf </sub>= 1.6, <em>L</em><sub>cw </sub>= 0.9, <em>v </em>= 2) SCG_SAM Same as SCG_LIN but based on clouds from CRM_SAM SCG_M2005 Same as SCG_LIN but based on clouds from CRM_M2005 SCG_Exact SCG output using exact parameters derived from CRM_LIN SCG_<em>L</em><sub>cf</sub>(3.2) Same as SCG_LIN but for <em>L</em><sub>cf </sub>= 3.2 in cloud overlap SCG_<em>L</em><sub>cf</sub>(0.9) Same as SCG_<em> L</em><sub>cf</sub>(3.2) but for <em>L</em><sub>cf </sub>= 0.9 SCG_<em>L</em><sub>cw</sub>(1.5) Same as SCG_LIN but for <em>L</em><sub>cw </sub>= 1.5 in condensate overlap SCG_<em>L</em><sub>cw</sub>(0.5) Same as SCG_<em> L</em><sub>cw</sub>(1.5) but for <em>L</em><sub>cw </sub>= 0.5 SCG_<em>v</em>(0.8) Same as SCG_LIN but for <em>v </em>= 0.8 SCG_<em>v</em>(5.9) Same as SCG_<em>v</em>(0.8) but for <em>v </em>= 5.9
DOI: 10.21227/z919-6276
title: Segmented Taxi Trajectories in Bankok

description: This dataset contains segmented taxi data, which is extracted from taxi GPS data published by the ITIC Foundation (https://org.iticfoundation.org/).
DOI: 10.23729/386d850a-9205-47b2-a7e9-8369bfac8f47
title: Electronic Components

description: Electronic components imaged to generate a 3D-model for Finite Element Method modeling, to investigate a related phenomenon from other measurements. Components are IGBT semiconductor modules, EconoPACK and HiPak. Preview dataset found at https://doi.org/10.23729/41fa6cbf-5bb1-4f67-98a9-088bfc034f33 . To obtain data, please contact fairdata-pas@gtk.fi .
DOI: 10.5281/zenodo.6381554
title: Replication package for ``Peer Effects inAcademic Research: Senders and Receivers" to appear in EJ

description: This is the replication package for the paper ``Peer Effects inAcademic Research: Senders and Receivers" to appear in the Economic Journal. The Readme file explains in detail the content and the procedure for replication.
DOI: 10.5281/zenodo.6381553
title: Replication package for ``Peer Effects inAcademic Research: Senders and Receivers" to appear in EJ

description: This is the replication package for the paper ``Peer Effects inAcademic Research: Senders and Receivers" to appear in the Economic Journal. The Readme file explains in detail the content and the procedure for replication.
DOI: 10.6084/m9.figshare.19359002.v3
title: Data: Climatic niche dynamics of Spartina alterniflora

description: Details of occurrence data used to map the climatic niche dynamics of <i>Spartina alterniflora</i>.<br>
DOI: 10.6084/m9.figshare.19410172.v1
title: Mmaris_TableS5_OB.xlsx from The closest lineage of Archaeplastida is revealed by phylogenomics analyses that include <i>Microheliella maris</i>

description: By clarifying the phylogenetic positions of ‘orphan’ protists (unicellular micro-eukaryotes with no affinity to extant species/lineages), we may uncover the novel affiliation between two (or more) major lineages in eukaryotes. <i>Microheliella maris</i> was an orphan protist, which failed to be placed within the previously described species/lineages by pioneering phylogenetic analyses. In this study, we analysed a 319-gene alignment and demonstrated that <i>M. maris</i> represents a basal lineage of one of the major eukaryotic lineages, Cryptista. We here propose a new clade name ‘Pancryptista’ for Cryptista plus <i>M. maris</i>. The 319-gene analyses also indicated that <i>M. maris</i> is a key taxon to recover the monophyly of Archaeplastida and the sister relationship between Archaeplastida and Pancryptista, which is collectively called as ‘CAM clade’ here. Significantly, Cryptophyceae tend to be attracted to Rhodophyta depending on the taxon sampling (ex., in the absence of <i>M. maris</i> and Rhodelphidia) and the particular phylogenetic ‘signal’ most likely hindered the stable recovery of the monophyly of Archaeplastida in previous studies.
DOI: 10.6084/m9.figshare.19410172
title: Mmaris_TableS5_OB.xlsx from The closest lineage of Archaeplastida is revealed by phylogenomics analyses that include <i>Microheliella maris</i>

description: By clarifying the phylogenetic positions of ‘orphan’ protists (unicellular micro-eukaryotes with no affinity to extant species/lineages), we may uncover the novel affiliation between two (or more) major lineages in eukaryotes. <i>Microheliella maris</i> was an orphan protist, which failed to be placed within the previously described species/lineages by pioneering phylogenetic analyses. In this study, we analysed a 319-gene alignment and demonstrated that <i>M. maris</i> represents a basal lineage of one of the major eukaryotic lineages, Cryptista. We here propose a new clade name ‘Pancryptista’ for Cryptista plus <i>M. maris</i>. The 319-gene analyses also indicated that <i>M. maris</i> is a key taxon to recover the monophyly of Archaeplastida and the sister relationship between Archaeplastida and Pancryptista, which is collectively called as ‘CAM clade’ here. Significantly, Cryptophyceae tend to be attracted to Rhodophyta depending on the taxon sampling (ex., in the absence of <i>M. maris</i> and Rhodelphidia) and the particular phylogenetic ‘signal’ most likely hindered the stable recovery of the monophyly of Archaeplastida in previous studies.