cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3928660
title: Benchmark maps of 33 years of secondary forest age for Brazil

description: <strong>Title: </strong>Benchmark maps of 33 years of secondary forest age for Brazil <strong>Contact:</strong> Celso H. L. Silva Junior (celsohlsj@gmail.com) <strong>Data:</strong> Increment (Product 1), Extent (Product 2), Loss (Product 3), and Age (Product 4) of Brazilian Secondary Vegetation <strong>Coverage:</strong> Brazil land <strong>Period:</strong> 1986 to 2018 (1987 to 2018 for secondary forest loss) <strong>Spatial resolution:</strong> 30-meters <strong>Temporal resolution:</strong> Annual <strong>Coordinate reference system:</strong> Geographic Coordinate System with Datum WGS84 <strong>File format:</strong> 131 zip files per year (being 33 for increment, 33 for extent, 33 for age and 32 for loss). Each zip file containing eight tiles in compressed TIFF format. <strong>Code:</strong> https://github.com/celsohlsj/gee_brazil_sv <strong>Dataset usage</strong>: It is free to use, but if you use this dataset in your work, please make sure to cite the repository and our paper properly. We also welcome users to invite us for collaboration. <strong>For the use of this dataset, please cite: </strong>Silva Junior, C.H.L., Heinrich, V.H.A., Freire, A.T.G., Broggio, I.S., Rosan, T.M., Doblas, J., Anderson, L.O., Rousseau, G.X., Shimabukuro, Y.E., Silva, C.A., House, J.I., Aragão, L.E.O.C. Benchmark maps of 33 years of secondary forest age for Brazil. Scientific Data (2020). https://doi.org/10.1038/s41597-020-00600-4
DOI: 10.6084/m9.figshare.16960207.v1
title: KNOWLEDGE ABOUT KITCHEN HYGIENE AND ASSOCIATED FACTORS

description: This is a cross-sectional study. We interviewed 250 mothers at <i>Comedores Populares </i>(a sort of community kitchens which are very popular in Lima) and who belonged to mothers' clubs in the areas of Huascar V and San Pablo, in San Juan de Lurigancho (SJL) in Lima. The sample was selected through non-probability convenience sampling. A questionnaire with three dimensions (cleanliness, storage and contamination of children) was administered. <br>
DOI: 10.6084/m9.figshare.20378268.v4
title: Data anemia Rautahat v3wra.xlsx

description: For the study, a hospital-based cross-sectional study was conducted among women of the reproductive age group (15-45) from 15th March to 15th May 2022 after obtaining ethical clearance from the Nepal health research council. 375 women participants were selected via a simple random sampling technique. Participants underwent an interview after informed written consent followed by blood sample collection. Through a semi-structured questionnaire, the data was obtained. Then data was entered and analyzed via Microsoft Excel 2019 and Statistical Package for Social Sciences version 22.0.
DOI: 10.21227/0wf0-0792
title: Corona Virus (COVID-19) Turkish Tweets Dataset

description: This data set includes Covid-19 related Tweet messages written in Turkish that contain at least one of four keywords (Covid, Kovid, Corona, Korona). These keywords are used to express Covid-19 virus in Turkey. Tweets collection was started from 11th March 2020, the first Covid-19 case seen in Turkey. Currently dataset contain 4,5 million tweets with 6 different attribute of each tweets that were sent from 9 March 2020 until 30 April 2020. The data file contains comma separated values (CSV). It contains the following information (6 Column) for each tweet in the data file: Created-At: Exact creation time of the tweetFrom-User-Id: Sender User IdTo-User-Id: if it is sent to a user, its user IDLanguage: All TurkishRetweet-Count: number of retweetsId: ID of tweet that is unique for all tweets Search Twitter Operator of RapidMiner Software was used to collect tweets via the Twitter API. Due to the differentiation of keywords used in the time period and because of some technical constraints, the number of tweets collected daily for some days was less than normal until 30 March. After March 30, all Turkish tweets about covid-19 were collected continuously. The details of this subject are explained at the below. The data collection study started on March 17. In the Twitter API used, there is a 10,000-tweet upper limit and a last week time limit in each search to collect past tweets. Therefore, the oldest tweets that can be collected belong to March 11. Detecting the first cases in Turkey were also held on 11 March. So, tweets been collected since the first cases detected in Turkey. In order to collect data, RapidMiner Data mining software was used, and a maximum of 10,000 tweets were collected for each day, from 11 March until 17 March. In this way, after the past data of the last week were collected, the last sent 10,000 tweets were taken at intervals of twenty minutes (Twitter API can be used with 15 minutes interval, added 5 minutes more for precautionary). Thus, if more than 10,000 tweets were not posted within 20 minutes, it was possible to gather all the tweets. Of course, in less than 10,000 tweets were sent within 20 minutes, the same tweets were repeatedly drawn in different iterations. For this reason, duplicate records were deleted using the Tweet ID number. RapidMiner Turbo Prep application was used for this process.While Turkish tweets containing the word "Corona" were collected as of March 11, the ones containing the word "Covid" started to be collected after March 16. With the widespread use of the words "Kovid" and "Korona", since March 30, all Turkish Tweets containing at least one of 4 keywords were collected using the search phrase "Covid OR Kovid OR Korona OR Corona".
DOI: 10.5281/zenodo.3608408
title: Proto-Western Kho-Bwa: regionally relevant basic vocabulary elicitation list

description: This upload contains a pdf and a word file of a 555-entry word list that was used to elicit data from eight Western Kho-Bwa varieties (Khispi, Duhumbi, Khoina, Khoitam, Jerigaon, Rahung, Rupa and Shergaon), Bangru, Brokpa and Tshangla in Western and Central Arunachal Pradesh between March 2012 and November 2018. The word list contains concepts that are also found in the most commonly used lists for vocabulary elicitation, but also contains regionally relevant concepts, for example, those related to flora and fauna, local livelihood practices and agricultural crops, and cultural and religious concepts. The word list is partially translated in Roman Hindi to ease elicitation with Hindi-speaking consultants, but certain concepts for which Hindi equivalents could not be found have been translated into Tshangla, the erstwhile lingua franca in some areas and a language still spoken by the older generation. This material is made freely available to everyone for informative or scientific purposes as long as the source (this DOI) / the collectors are properly credited. Please note that use of the material for commercial purposes <em><strong>of any kind</strong>, which includes conversion into commercial audio-visual media (documentaries etc.), storage and dissemination through sites that require registration & payment for access, or sites that rely on advertisement (including YouTube) </em>is <strong>not</strong> permitted without <strong>specific written consent</strong> from the speakers and their community, obtained through the collectors of the material. By downloading our material, you agree to these restrictions. This data set falls under the Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license. This license lets you remix, tweak, and build upon this work non-commercially, as long as you credit us and license your new creations under the identical terms. License Deed on https://creativecommons.org/licenses/by-nc-sa/4.0/. Legal Code on https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode. Tim Bodt: bodttim (at) gmail (dot) com
description: Swiss National Science Foundation Postdoc Mobility grant number P2BEP1_181779
DOI: 10.5281/zenodo.4048086
title: Dataset for systematic mapping literature about STEAM through Challenge-Based Learning, Robotics and Physical Devices

description: This is the public dataset for the systematic mapping literature review performed for the paper "Fostering STEAM through Challenge-Based Learning, Robotics and Physical Devices: A systematic mapping literature review". Related to activity O2.A1 of the RoboSTEAM European Project.
description: RoboSTEAM (Integrating STEAM and computational thinking development by using robotics and physical devices) is a project funded under European Union ERASMUS+ KA2 – Cooperation and Innovation for Good Practices. Strategic Partnerships for school education Programme (2018-1-ES01-KA201-050939). The European Commission support for the production of this publication does not constitute an endorsement of the contents which reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
DOI: 10.5441/002/edbt.2015.04
title: Hermes: Dynamic Partitioning for Distributed Social Network Graph
Databases
DOI: 10.5066/p9czi2ko
title: Size distribution and reproductive data of the invasive Burmese python (Python molurus bivittatus) in the Greater Everglades Ecosystem, Florida, USA, 1995-2021

description: This dataset contains morphometric information from Burmese pythons collected from an invasive population in southern Florida between 1995-2021. Scientists from the U.S. Geological Survey and the National Park Service curated this dataset as a repository for records of Burmese pythons found on or nearby federal lands in southern Florida, including Everglades National Park, Big Cypress National Preserve, Biscayne National Park, and Crocodile Lake National Wildlife Refuge. As such, numerous entities actively or incidentally involved in python research or management activities contributed specimens and/or data to this dataset, including but not limited to the U.S. Geological Survey, National Park Service, U.S. Fish and Wildlife Service, University of Florida, Conservancy of Southwest Florida, Florida Fish and Wildlife Conservation Commission, South Florida Water Management District, volunteers, and members of the public. The dataset includes python identification information, capture information, morphometric data, and necropsy data. The structure of the dataset is such that every row pertains to a single date that data were collected from a single python so that serial captures and morphological data collected from unique individuals can be tracked across time via different rows.
DOI: 10.5281/zenodo.3545947
title: Lexicon of Polarity Shifting Directions

description: This dataset provides information on the shifting direction of polarity shifters. Shifting directions specify whether a polarity shifter can affect <strong>only positive</strong> polar expressions, <strong>only negative</strong> ones or shift in <strong>both</strong> directions. We cover all shifters found in the shifter lexicon of Schulder, Wiegand and Ruppenhofer (JNLE 2021), which contains verbs, noun and adjectives. <strong>Data</strong><br> A list of 2521 polarity shifters, labeled for their shifting direction. Contains 863 shifters that affect only positive polar expressions, 288 shifters that affect only negative polar expressions and 1370 shifters that can shift in both directions. File: <code>shifting_directions.txt</code> The lexicon is a comma-separated value (CSV) table Each line follows the format <code>POS,LEMMA,DIRECTION_LABEL,SOURCE</code>. <code>POS</code>: The part of speech of the word (<code>verb</code>, <code>noun</code>, <code>adj</code>) <code>LEMMA</code>: The lemma representation of the word in question. Multiword expressions are separated by an underscore (<code>WORD_WORD</code>). <code>DIRECTION_LABEL</code>: Whether the shifter affects only positive polarities (<code>AFFECTS_POSITIVE</code>), only negative polarities (<code>AFFECTS_NEGATIVE</code>) or can shift in both directions (<code>AFFECTS_BOTH</code>). <code>SOURCE</code>: Whether the word was part of the gold standard (<code>GOLD_STANDARD</code>) or was labeled automatically (<code>AUTOMATIC</code>). <strong>Attribution</strong><br> This dataset was created as part of the following publication: Schulder, Marc and Wiegand, Michael and Ruppenhofer, Josef (2020). <strong>"Enhancing a Lexicon of Polarity Shifters through the Supervised Classification of Shifting Directions"</strong>. <em>Proceedings of the 12th Conference on Language Resources and Evaluation (LREC)</em>, pages 5010–5016, Marseille, France, May 11-16, 2020. If you use the data in your research or work, please cite the publication.
description: This work was partially supported by the German Research Foundation (DFG) under grants RU 1873/2-1 and WI4204/2-1.
DOI: 10.5281/zenodo.3994365
title: ROB 2 assessments_Convalescent plasma or hyperimmune immunoglobulin for people with COVID-19_a living systematic review

description: Risk of bias assessments and support for judgement with ROB 2 tool for the Cochrane Review: Convalescent plasma or hyperimmune immunoglobulin for people with COVID-19:a living systematic review (Version 3).
DOI: 10.5281/zenodo.4039798
title: Topography extraction and topographic change measurements using PlanetScope data: Shisper Glacier (Pakistan)

description: The study area is located in the north flank of Hunza Valley in the Central Karakoram. Shisper glacier covers ~53.7 km2 at an elevation range of 2567-611 m a.s.l. It is a surge-type glacier, which has recently gained the attention of the scientific community and disaster response agencies during its surge. In 2018, the glacier surged beyond the confluence with the outlet stream of Mochwar glacier. The blockage resulted in the creation of a lake, which then drained causing a GLOF (Glacial Lake Outbreak Flood) and has recently begun reforming. The melt water from the two glaciers feeds hydropower plants in the Hunza valley and is a major source of fresh water for agriculture. Glacier-related hazards threaten both the town of Hassanabad and the Karakoram Highway, the only paved road through the mountain range. Here we show the potential of CubSat data to monitor such glaciers, which are not easily accessible to field observation and their potential impact on power generation, water resources and infrastructure. We use multi-date L1B DOVE-C PlanetScope data to extract two DEMs in 2017 and 2019 over the study area in order to compute the elevation difference caused by the glacier surge. Supplementary material for our paper: Optimization of optical image geometric modeling, application to topography extraction and topographic change measurements using PlanetScope and SkySat imagery.
description: Supplementary material for our paper: Optimization of optical image geometric modeling, application to topography extraction and topographic change measurements using PlanetScope and SkySat imagery.
DOI: 10.5281/zenodo.7080193
title: Data and model code for article "Wildflower phenological escape differs by continent and spring temperature"

description: This dataset contains seven spreadsheets and one R script. The spreadsheet "NC_Lee_etal_data.xls" contains the master data file associated with the article "Wildflower phenological escape differs by continent and spring temperature", along with a metadata sheet that describes the column names. The other six spreadsheets contain the continent (EA = East Asia, ENA = Eastern North America, and EU = Europe) x lifeform (forbs or trees) specific datasets used in the supplementary models containing spatial autocorrelation terms. The script contains annotated example code to run the models used in the final analysis. Questions about the code or analysis should be directed to the lead author (Benjamin R Lee).
DOI: 10.5281/zenodo.7230203
title: Geometries for "Linear Response Properties of Solvated Systems: A Computational Study"

description: Geometry files (.xyz format) used in the paper "Linear Response Properties of Solvated Systems: A Computational Study"
DOI: 10.6073/pasta/e32ff1ba92e51b36a81efde54a70229b
title: Surface water DIC, total alkalinity, and pH for the September 2002 through December 2004 Georgia Coastal Ecosystems LTER oceanographic surveys
DOI: 10.6084/m9.figshare.16777729
title: Pollination generalization and reproductive assurance by selfing in a tropical montane ecosystem

description: Data linked to the following article:Bergamo PJ, Streher NS, Zambon V, Wolowski M, Sazima M. 2021. Pollination generalization and reproductive assurance by selfing in a tropical montane ecosystem. The Science of Nature, DOI: 10.1007/s00114-021-01764-8<br>'data.xlsx' contains data of floral reflectance, floral size, anther height and pollinator group for all plant species<br>'species_list.xlsx' contains corrected species names, habitat endemism, conservation status and pollinator-dependence data
DOI: 10.17632/ptkz4bsmky.1
title: alkanesR: Calculations of n-alkanes and their related proxies

description: "alkanesR" is a R package for calculating n-alkanes and their related proxies. This dataset includes the source file of the package and a brief user guide. Please see our associated article for detailed informations. The software includes 4 functions including CPI, subtaction, bio_proxies, anthro_proxies, and 1 demo data (alkanes_demo_data). Please see help document for details. You can download the software to your computer. The package need to be installed mannually. In RStudio, You need to select "Tools"-&gt;"Install Packages..."-&gt;"Install from"-&gt;"Package Archive File". File lists: 1. alkanesR_0.1.0.tar.gz (Source Package, for Windows, Mac) 2. alkanesR_0.1.0.zip (Binary Package, for Windows) 3. Brief User Guide for alkanesR.Rmd (Open in RStudio) 4. Brief-User-Guide-for-alkanesR.pdf
DOI: 10.17632/xfx7734xvv.2
title: A Darcy-Brinkman-Biot Approach to Modeling the Hydrology and Mechanics of Porous Media Containing Macropores and Deformable Microporous Regions Data

description: This is a comprehensive data set pertaining to the following research paper: "Darcy-Brinkman-Biot Approach to Modeling the Hydrology and Mechanics of Porous Media Containing Macropores and Deformable Microporous Regions" . It includes all the compiled data used within the paper's figures, as well as the numerical results.
DOI: 10.21415/t5ws36
title: CHILDES Catalan-Spanish Silva-Corvalán Corpus
DOI: 10.5066/p9t6nw4v
title: Prokaryotic Communities From Marine Biofilms Formed on Stainless Steel Plates in Coral Mesocosms - Raw and Processed Data

description: The files in this data release are those referenced in the journal article by Evans and others (2022) entitled "Ship Biofilms as Potential Reservoirs of Stony Coral Tissue Loss Disease." They contain an amplicon sequence variant (ASV) table and the raw 16S ribosomal ribonucleic acid (rRNA) gene amplicon deoxyribonucleic acid (DNA) sequence files from 15 microbial communities (sample names: CnD16B, CnD17B, CnD18B, CnD19B, CnD21B, CnD22B, CnD23B, CnD24B, CnD25B, PsD5B, CnH101B, CnH100B, Pstr4B, Pstr10B, and seawaterB) derived from biofilms on stainless steel plates (316 grade) formed in mesocosms containing diseased corals (stony coral tissue loss disease, n = 10), healthy corals (n = 4), or no coral (n = 1). Also included are the sequence files from a mock community, and two reagent blanks. Corals (Colpophyllia natans and Pseudodiploria strigosa) were collected between January 2019 and March 2021, from various locations throughout the Florida Keys. Plates were added to mesocosm buckets containing ultraviolet (UV)-sterilized, 0.2 micrometer filtered seawater and either diseased (n = 10), healthy (n = 4), or no coral (n = 1) at the Smithsonian Marine Station in Fort Pierce, Florida (FL) on March 25, 2021. Plates were removed on March 28, 2021, and placed in individual sterile whirlpaks with RNAlater for future processing. Extraction of DNA from the samples and blanks occurred in April 2021 at the Coral Microbial Ecology Laboratory in St. Petersburg, FL, using the QIAGEN DNeasy PowerBiofilm Kit. Library preparation and DNA sequencing were conducted on May 13, 2021, by the Michigan State University RTSF Genomics Core (East Lansing, Michigan) using primers 515F: GTGCCAGCMGCCGCGGTAA and 806R: GGACTACHVGGGTWTCTAAT to target the V4 variable region of the 16S rRNA gene on a MiSeq sequencing system with v2 chemistry to obtain paired-end 250-bp (base pair) reads. The raw data files associated with this data release have also been submitted to the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) under Bioproject number PRJNA828575. For more information, please see the README file, README_Biofilm.txt, and metadata files. Evans, J.S., Paul, V.J., and Kellogg, C.A., 2022, Biofilms as potential reservoirs of stony coral tissue loss disease: Frontiers in Marine Science, https://doi.org/10.3389/fmars.2022.1009407.
DOI: 10.5281/zenodo.3706937
title: Experimental data for "Virtual Reality as a Tool for Promoting Reading via Enhanced Narrative Absorption and Empathy"

description: This dataset contains data of the publication "Virtual Reality as a Tool for Promoting Reading via Enhanced Narrative Absorption and Empathy". It includes measure for the Story World Absorption Scale and the State Empathy Scale used to compare subjective experiences while reading on paper and reading in a virtual reality environment. Original paper: Pianzola, F., Bálint, K., and Weller, J. (2019). Virtual Reality as a Tool for Promoting Reading via Enhanced Narrative Absorption and Empathy. <em>Scientific Study of Literature 9</em>(2). https://doi.org/10.1075/ssol.19013.pia
DOI: 10.6084/m9.figshare.16826068.v3
title: Bioinformatic analysis and STATA code and dataset for analysis of S. Heidelberg in Ontario, 2013

description: Bioinformatic datasets and code for analysis of S. Heidelberg in Ontario, 2013
DOI: 10.6084/m9.figshare.21617535
title: 5000米可见范围地形.tif

description: Provide data support for viewshed analysis
DOI: 10.18746/bmth.data.00000267
title: Cultural-Contemporary Design Synthesis
DOI: 10.5281/zenodo.7326500
title: Scolytinae Xyleborini host plants dataset

description: The present database includes all Xyleborini species known and described prior to October 30<sup>th</sup> 2022 and their relative host plants.
DOI: 10.5281/zenodo.7326499
title: Scolytinae Xyleborini host plants dataset

description: The present database includes all Xyleborini species known and described prior to October 30<sup>th</sup> 2022 and their relative host plants.