cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3951094
title: Transfer learning enables prediction of CYP2D6 haplotype function

description: This data here were used to train the models described in the manuscript "Transfer learning enables prediction of CYP2D6 haplotype function". The deep learning model described predicts metabolic function of <em>CYP2D6</em> star alleles. It uses two pretraining steps, first with simulated data, then with sequence data collected from liver microsomes, and finally using sequence data for <em>CYP2D6</em> star alleles. simulated_cyp2d6_diplotypes.tar.gz - This file contains sequence data and labels for simulated <em>CYP2D6 </em>data used in the first training step dalton_2019_cyp2d6_microsomes.txt - This file contains summary statistic data for liver microsome data used in the second pretraining step (originally from https://doi.org/10.1111/cts.12695) star_samples.vcf - This file contains sequence data for <em>CYP2D6 </em>star alleles derived from PharmVar (https://www.pharmvar.org/gene/CYP2D6) used in the final training step.
DOI: 10.15468/v6uhrx
title: An African bat hotspot: the exceptional importance of Mount Nimba for bat diversity

description: This dataset contains the digitized treatments in Plazi based on the original journal article Monadjem, Ara, Richards, Leigh, Denys, Christiane (2016): An African bat hotspot: the exceptional importance of Mount Nimba for bat diversity. Acta Chiropterologica 18 (2): 359-375, DOI: 10.3161/15081109ACC2016.18.2.005
DOI: 10.15468/6k2f9d
title: A new species of South-East Asian Myotis (Chiroptera: Vespertilionidae), with comments on Vietnamese ‘ whiskered bats’

description: This dataset contains the digitized treatments in Plazi based on the original journal article K Ruskop, Sergey V., B Orisenko, Alex V. (2013): A new species of South-East Asian Myotis (Chiroptera: Vespertilionidae), with comments on Vietnamese ‘ whiskered bats’. Acta Chiropterologica 15 (2): 293-305, DOI: 10.3161/150811013X678937
DOI: 10.6084/m9.figshare.3761562.v1545
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: 10.3886/e120252
title: Cervical cancer screening during the COVID-19 Crisis: Africa view point

description: There are approximately 570,000 cases of cervical cancer and 311,000 deaths from cervical cancer globally (1). Approximately 70% of cancer deaths occur in low and middle income countries and cervical cancer is the most common cancer in Africa (2). Therefore cervical cancer screening saves lives by early detection of cases for early management. While the COVID-19 crisis continues to cause unprecedented health and economic burden, health workers should look to it that there is continuity of care to vulnerable groups during this crisis. Mostly non-urgent health appointments have been cancelled in the wake of COVID-19. Bearing in mind the mortality rate related to cervical cancer, cervical cancer screening should be incorporated in the COVID-19 containment strategy. However COVID-19 preventive measures should be put in place during the efforts of providing cervical cancer screening as directed by the health authorities.
DOI: 10.3886/e120252v2
title: Cervical cancer screening during the COVID-19 Crisis: Africa view point

description: There are approximately 570,000 cases of cervical cancer and 311,000 deaths from cervical cancer globally (1). Approximately 70% of cancer deaths occur in low and middle income countries and cervical cancer is the most common cancer in Africa (2). Therefore cervical cancer screening saves lives by early detection of cases for early management. While the COVID-19 crisis continues to cause unprecedented health and economic burden, health workers should look to it that there is continuity of care to vulnerable groups during this crisis. Mostly non-urgent health appointments have been cancelled in the wake of COVID-19. Bearing in mind the mortality rate related to cervical cancer, cervical cancer screening should be incorporated in the COVID-19 containment strategy. However COVID-19 preventive measures should be put in place during the efforts of providing cervical cancer screening as directed by the health authorities.
DOI: 10.3886/e120251
title: Corona Virus Disease among Pregnant Women: A Systematic Scoping Review

description: Corona Virus Disease 2019 (COVID-19) is a deadly respiratory viral disease that started in China in the year 2019 before spreading to the world. It affects everybody regardless of race, religion, social economic status or age. Howev- er, literature indicates that people with compromised immune status are at a higher risk of contracting viral infections. During pregnancy, the immune status of the woman is suppressed because it acts to protect both the mother and her unborn baby. The purpose of this study was to provide an overview of available evidence on the risk of contracting COVID-19 and COVID-19 infection prevention among pregnant women. Relevant and recent articles were identified from various databases. Article selection was aligned to the study questions. Articles that were related to study objectives were included and those not related to study objectives were excluded. A narrative report was produced and results were described according to study objectives. Ap- proximately 8 data sources were included and most of the reviewed articles indicated that pregnant women are at a higher risk of getting COVID-19. The reviews further indicated that pregnant women can be prevented from this deadly virus by providing community antenatal services instead of visiting the health facilities. If a pregnant woman develops symptoms of respiratory in- fection, it is advisable to seek immediate diagnosis to rule out COVID-19 and get appropriate management to avoid complications. The selected studies’ quality was appraised through Mixed Methods Appraisal Tool (MMAT) ver- sion 2018. Knowledge on the risk of COVID-19 infection among pregnant women will help health workers especially midwives who take care of preg- nant women to design confidently and put into action preventive programs to address health needs of pregnant women who are at a higher risk of con- tracting COVID-19 as compared to other people in the general population. This also will assist health workers to provide appropriate care to pregnant women on the basis of their COVID-19 infection risk status at health facility and community levels. This study review is also creating more awareness on
DOI: 10.3886/e120251v2
title: Corona Virus Disease among Pregnant Women: A Systematic Scoping Review

description: Corona Virus Disease 2019 (COVID-19) is a deadly respiratory viral disease that started in China in the year 2019 before spreading to the world. It affects everybody regardless of race, religion, social economic status or age. Howev- er, literature indicates that people with compromised immune status are at a higher risk of contracting viral infections. During pregnancy, the immune status of the woman is suppressed because it acts to protect both the mother and her unborn baby. The purpose of this study was to provide an overview of available evidence on the risk of contracting COVID-19 and COVID-19 infection prevention among pregnant women. Relevant and recent articles were identified from various databases. Article selection was aligned to the study questions. Articles that were related to study objectives were included and those not related to study objectives were excluded. A narrative report was produced and results were described according to study objectives. Ap- proximately 8 data sources were included and most of the reviewed articles indicated that pregnant women are at a higher risk of getting COVID-19. The reviews further indicated that pregnant women can be prevented from this deadly virus by providing community antenatal services instead of visiting the health facilities. If a pregnant woman develops symptoms of respiratory in- fection, it is advisable to seek immediate diagnosis to rule out COVID-19 and get appropriate management to avoid complications. The selected studies’ quality was appraised through Mixed Methods Appraisal Tool (MMAT) ver- sion 2018. Knowledge on the risk of COVID-19 infection among pregnant women will help health workers especially midwives who take care of preg- nant women to design confidently and put into action preventive programs to address health needs of pregnant women who are at a higher risk of con- tracting COVID-19 as compared to other people in the general population. This also will assist health workers to provide appropriate care to pregnant women on the basis of their COVID-19 infection risk status at health facility and community levels. This study review is also creating more awareness on
DOI: 10.3886/e120321v1
title: COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions Attributes

description: We collected and processed a dataset and make it available for the research community to study the COVD-19 pandemic in multiple possibilities.
description: This resource describes a large dataset covering over 63 million coronavirus-related Twitter posts from more than 13 million unique users since 28 January to 1 July 2020. As strong concerns and emotions are expressed in the tweets, we analyzed the tweets content using natural language processing techniques and machine-learning based algorithms, and inferred seventeen latent semantic attributes associated with each tweet, including 1) ten attributes indicating the tweet’s relevance to ten detected topics, 2) five quantitative attributes indicating the degree of intensity in the valence (i.e., unpleasantness/pleasantness) and emotional intensities across four primary emotions of fear, anger, sadness and joy, and 3) two qualitative attributes indicating the sentiment category and the most dominant emotion category, respectively. To illustrate how the dataset can be used, we present descriptive statistics around the topics, sentiments and emotions attributes and their temporal distributions, and discuss possible applications in communication, psychology, public health, economics and epidemiology.
description: Twitter posts.
DOI: 10.3886/e120321v2
title: COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions Attributes

description: This project presents a large dataset covering over 63 million coronavirus-related Twitter posts from more than 13 million unique users during since 28 January to 1 July 2020. As strong concerns and emotions are expressed in the tweets, we analyzed the tweets content using natural language processing techniques and machine-learning based algorithms, and inferred seventeen latent semantic attributes associated with each tweet, including 1) ten attributes indicating the tweet’s relevance to ten detected topics, 2) five quantitative attributes indicating the degree of intensity in the valence (i.e., unpleasantness/pleasantness) and emotional intensities across four primary emotions of fear, anger, sadness and joy, and 3) two qualitative attributes indicating the sentiment category and the most dominant emotion category, respectively.
description: Twitter posts.
DOI: 10.3886/e120321v3
title: COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions Attributes

description: This project presents a large dataset covering over 63 million coronavirus-related Twitter posts from more than 13 million unique users during since 28 January to 1 July 2020. As strong concerns and emotions are expressed in the tweets, we analyzed the tweets content using natural language processing techniques and machine-learning based algorithms, and inferred seventeen latent semantic attributes associated with each tweet, including 1) ten attributes indicating the tweet’s relevance to ten detected topics, 2) five quantitative attributes indicating the degree of intensity in the valence (i.e., unpleasantness/pleasantness) and emotional intensities across four primary emotions of fear, anger, sadness and joy, and 3) two qualitative attributes indicating the sentiment category and the most dominant emotion category, respectively.
description: Twitter posts.
DOI: 10.25345/c53n1c
title: MassIVE MSV000085777 - GNPS - IODA Seawater Metabolomics from California Redtide 2020
title: Seatwater total organic matter from the red tide event in April/May 2020. Samples were analyzed by LC-MS/MS in pos mode using DDA and IODA.
DOI: 10.25345/c5zt8h
title: MassIVE MSV000085778 - GNPS - LC-MS/MS of XAD in situ extraction of marine sediment
title: LC-MS/MS of XAD in situ extraction of marine sediment
DOI: 10.17632/hn3h9gdrgj.1
title: Tracking changes in SARS-CoV-2 Spike: evidence that D614G increases infectivity of the COVID-19 virus. Korber et al.

description: Two Supplementary Tables and a data file to accompany this paper. Sup. Table 1 is the acknowledgment table for GISAID COVID-19 sequence data. Sup. Table 2 is a spreadsheet that details the diversity found among SARS-CoV-2 protein sequences, and indicates the sequence names, locations and sampling dates of common variants. Data S1 show isotonic regression plots of transitions from one variant of the spike protein (D614) to another (G614) in local regions over time, based on the geographic location and date of sampling.
DOI: 10.17632/29ngkrp5mg.1
title: Data for: Definition matters. Metropolitan areas and agglomeration economies in a large-developing country
DOI: 10.25345/c5v46x
title: MassIVE MSV000085779 - GNPS - Environmental Metabolomics from California Redtide April/May 2020
title: LC-MS/MS-based environmental metabolomics from california redtide event from April/May 2020. Sample were collected in Northern San Diego, extracted by PPL SPE and run by DDA LC-MS/MS (pos/neg)
DOI: 10.5281/zenodo.3951212
title: A dataset of gas permeability and flux simulation of poplar tension wood

description: The datasets generated during the study &lt;Relationship between pore structure and gas permeability in poplar (<em>Populus deltoides</em> CL.'55/65') tension wood&gt;.
DOI: 10.5281/zenodo.3951211
title: A dataset of gas permeability and flux simulation of poplar tension wood

description: The datasets generated during the study &lt;Relationship between pore structure and gas permeability in poplar (<em>Populus deltoides</em> CL.'55/65') tension wood&gt;.
DOI: 10.5281/zenodo.3935320
title: Dataset of gas permeability and flux simulation of poplar tension wood

description: The datasets generated during the study &lt;Relationship between pore structure and gas permeability in poplar (<em>Populus deltoides</em> CL.'55/65') tension wood&gt;.
DOI: 10.5281/zenodo.3950924
title: Simulating and Evaluating the Global Aerosol Distributions with the Online Aerosol Coupled CAS-FGOALS Model

description: We implement an existing aerosol module named Spectral Radiation Transport Model for Aerosol Species (SPRINTARS) in the Chinese Academy of Sciences Flexible Global Ocean–Atmosphere–Land System (CAS-FGOALS) model and simulate the global aerosol properties over 2002-2014. The CAS FGOALS modeling outputs associated with the work are stored here.
DOI: 10.15161/oar.it/30568
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5281/zenodo.3950098
title: Analyzed Benchmarks on Experiments for frasmt v2.0.0

description: For details see: Johannes K. Fichte, Markus Hecher, Stefan Szeider: Breaking Symmetries with RootClique and LexTopSort, Proceedings of the 26th International Conference on Principles and Practice of Constraint Programming (CP'2020). For frasmt we refer to https://github.com/daajoe/frasmt/releases/tag/v2.0.0
DOI: 10.5281/zenodo.3950097
title: Analyzed Benchmarks on Experiments for frasmt v2.0.0

description: For details see: Johannes K. Fichte, Markus Hecher, Stefan Szeider: Breaking Symmetries with RootClique and LexTopSort, Proceedings of the 26th International Conference on Principles and Practice of Constraint Programming (CP'2020). For frasmt we refer to https://github.com/daajoe/frasmt/releases/tag/v2.0.0
DOI: 10.5281/zenodo.3951355
title: COVID-19@Semantics

description: A semantic software framework in the context of the COVID-19 cases worldwide, named the COVID-19@Semantics, in which we have developed a specific ontology, COVID-Ont, an open and linked dataset and different services in the mentioned scope.
DOI: 10.5281/zenodo.3839078
title: COVID-19@Semantics

description: A semantic software framework in the context of the COVID-19 cases worldwide, named the COVID-19@Semantics, in which we have developed a specific ontology, COVID-Ont, an open and linked dataset and different services in the mentioned scope.
DOI: 10.5281/zenodo.3950076
title: Inscription of Čơṅ Aṅ : Transcription, translation and analysis.

description: Philip Jenner, K.99 Inscription of Čơṅ Aṅ : Transcription, translation and analysis. Inscriptions -- Cambodia<br> Inscriptions. <br> Cambodia.
DOI: 10.5281/zenodo.3950075
title: Inscription of Čơṅ Aṅ : Transcription, translation and analysis.

description: Philip Jenner, K.99 Inscription of Čơṅ Aṅ : Transcription, translation and analysis. Inscriptions -- Cambodia<br> Inscriptions. <br> Cambodia.
DOI: 10.5519/qd.3qq527at
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.3951465
title: Once upon a time in the south: local drivers of plant invasion in the harsh sub-Antarctic islands

description: Data and R code to reproduce the analyses presented in the manuscript "Once upon a time in the south: local drivers of plant invasion in the harsh sub-Antarctic islands".
DOI: 10.21227/vzbn-qj64
title: CaneSat

description: This dataset contains multispectral high resolution 1627 image patches of size 10 x 10 pixels with each pixel size of 10mx10m. These patches are generated from the Sentinel-2 (A/B) satellite images acquired during the period of October 2018 to May 2019. It covered one life cycle (12 months) of the sugarcane crop in the region of the Karnataka, India. Many parameters like plantation season, soil type, plantation type, crop variety and irrigation type that affects the growth of the sugarcane crop are considered while generating the samples. Along with sugarcane crop field areas other land covers are also included for classification purpose. The dataset provides two formats: jpg and tif. Former format includes images with RGB channels and later format includes six bands namely, Red, Green, Blue, Near Infrared, Red Edge and Short-wave infrared. Dataset also provides 3 vegetation indices .tif images such as enhanced vegetation index (EVI), normalized difference vegetation index (NDVI) and green normalized difference vegetation index (GNDVI) separately. All tif image patches are georeferenced and labeled. The focus of this dataset is to support further research in sugarcane crop classification especially in India.
DOI: 10.21227/7e0w-6014
title: CaneSat

description: This dataset contains multispectral high resolution 1627 image patches of size 10 x 10 pixels with each pixel size of 10mx10m. These patches are generated from the Sentinel-2 (A/B) satellite images acquired during the period of October 2018 to May 2019. It covered one life cycle (12 months) of the sugarcane crop in the region of the Karnataka, India. Many parameters like plantation season, soil type, plantation type, crop variety and irrigation type that affects the growth of the sugarcane crop are considered while generating the samples. Along with sugarcane crop field areas other land covers are also included for classification purpose. The dataset provides two formats: jpg and tif. Former format includes images with RGB channels and later format includes six bands namely, Red, Green, Blue, Near Infrared, Red Edge and Short-wave infrared. Dataset also provides 3 vegetation indices .tif images such as enhanced vegetation index (EVI), normalized difference vegetation index (NDVI) and green normalized difference vegetation index (GNDVI) separately. All tif image patches are georeferenced and labeled. The focus of this dataset is to support further research in sugarcane crop classification especially in India.
DOI: 10.5281/zenodo.3951431
title: mdahirel/Tetranychus-metapop-2019: Initial release

description: This repo contains data and code needed to re-do the analyses and figures in our manuscript: "Individual heterogeneity: a neglected driver of metapopulation dynamics" (by Stefano Masier, Maxime Dahirel, Frederik Mortier, Dries Bonte)
DOI: 10.5281/zenodo.3951486
title: The Annotated Corpus of Classical Tibetan (ACTib) - Version 2.0 (Segmented & POS-tagged)

description: This corpus consisting of &gt;185 million tokens is a segmented and part-of-speech tagged version of Wallman, Jeff, Rowinski, Zach, Ngawang Trinley, Tomlinson, Chris, & Keutzer, Kurt. (2017). Collection of Tibetan etexts compiled by the Buddhist Digital Resource Center [Data set]. Zenodo. http://doi.org/10.5281/zenodo.821218 using the training data of Hill, Nathan W., & Garrett, Edward. (2017). A part-of-speech (POS) tagged corpus of Classical Tibetan [Data set]. Zenodo. http://doi.org/10.5281/zenodo.574878 The code for segmenting and POS tagging any Tibetan file can be found on GitHub. This Version 2 of ACTib is based on the same XML files as ACTib Version 1 (http://doi.org/10.5281/zenodo.823707), but contains both segmented and POS-tagged files and is improved in a number of ways, although post-processing was still done automatically and no manual correction was involved. For details of this improved annotation method see: Meelen, Marieke, Roux, Élie & Hill, Nathan (forthcoming). 'Optimisation of the largest annotated Tibetan corpus combining rule-based, memory-based & deep-learning methods' in <em>TALLIP.</em>
description: Acknowledgements go to the British Academy for funding Meelen's research through grant pf170063.