cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9iejhmh
title: Geospatial Dataset of the Geologic Framework and Hydrostratigraphy of the Edwards and Trinity Aquifers within Hays County, Texas at 1:24,000 scale

description: The Texas Water Development Board classifies the karstic Edwards and Trinity aquifers as major sources of water in south-central Texas. To effectively manage the water resources in the area, detailed maps and descriptions of the geologic framework and hydrostratigraphic units of the aquifers outcropping in Hays County, Tex. are needed. In 2016 and 2018, the U.S. Geological Survey, in cooperation with the Edwards Aquifer Authority, mapped the geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Tex. at 1:24,000 scale. These digital data accompany Clark, A.K., Pedraza, D.E., and Morris, R.R., 2018, Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas: U.S. Geological Survey Scientific Investigations Map XXXX, pamphlet XX p., 1 sheet, scale 1:24,000, https://doi.org/10.3133/simXXXX (In Press).
DOI: 10.7910/dvn/ooieao/7akyoq
title: report_data_stata.tab

description: :unav
DOI: 10.7910/dvn/ooieao/alzhuk
title: application_data_prep.R

description: :unav
DOI: 10.7910/dvn/ooieao/awegow
title: SectionIV_Sims.do

description: :unav
DOI: 10.7910/dvn/ooieao/esq5mw
title: simex_figure7.pdf

description: :unav
DOI: 10.7910/dvn/ooieao/glmxyz
title: reportasY_maintext_rmse_figure3.pdf

description: :unav
DOI: 10.7910/dvn/ooieao/iziwtc
title: SectionIII_Sims.do

description: :unav
DOI: 10.7910/dvn/ooieao/lofhgg
title: Codebook_LostInAggregation.pdf

description: :unav
DOI: 10.7910/dvn/ooieao/mkmtf1
title: reportasY_maintext_rmse_figure4.pdf

description: :unav
DOI: 10.7910/dvn/ooieao/ook0si
title: README_LostInAggregation_08262018.txt

description: :unav
DOI: 10.7910/dvn/ooieao/qmxk7o
title: reports-20180611.tab

description: :unav
DOI: 10.7910/dvn/ooieao/s4ozim
title: SectionIII_Application.do

description: :unav
DOI: 10.7910/dvn/ooieao/tjigax
title: reportasX_maintext_rmse_figure6.pdf

description: :unav
DOI: 10.7910/dvn/ooieao/wuowcv
title: SectionIV_Application.do

description: :unav
DOI: 10.5063/f1bk19jp
title: Vegetation data for New York City Forested Natural Areas, field collected 2013-2014 across 53 city parks.

description: Data includes forest structure including trees per hectare, basal area, and species richness across vegetation structural layers for 10 meter radius fixed area plots. This project was conducted by the Natural Areas Conservancy as part of a baseline assessment of forest condition in New York City Parks. The purpose of this data-set is to better understand and characterize the conditions of forested natural areas in New York City but also to inform management. This was compared to Forest Inventory Analysis data for New York State.
DOI: 10.5281/zenodo.1344313
title: Assessing the sustainability performance of sustainability management software - replication package

description: This is the replication package for the article "Assessing the sustainability performance of sustainability management software", published in Technologies – SI „Advanced Green Information and Communication Technology“

<strong>Contents</strong><br>
The repository contains the following files:


	<em>Data_-_Scenario_Hardware_Measurement.csv:</em><br>
	measurement data acquired during the measurement of the standard usage scenario
	<em>Data_-_Scenario_Log.txt:</em><br>
	timestamp log file for the measurements of the standard usage scenario
	<em>Data_-_Baseline_Hardware_Measurement.csv:</em><br>
	baseline meaurements
	<em>Data_-_Baseline_Log.txt:</em><br>
	baseline timestamp log file
	<em>R_image.Rdata:</em><br>
	data is also available in an R image dump
	<em>R_Analysis_Script.R:</em><br>
	analysis script, written in R
	<em>Results_SCSS_WeSustain_ESM.pdf:</em><br>
	results of the analysis
	<em>Results_and_calculation_for_Indicators_1.2.b_and_1.2.c.ods:</em><br>
	calculation for indicators 1.1.4.d) 1.2.b) and 1.2.c)
	<em>Usage-scenario_WeSustain_ESM.pdf:</em><br>
	description of the standard usage scenario


<strong>Usage</strong><br>
To recreate the analysis, run the R script and, if necessary, modify <em>lines 103 to 115</em> to fit the filenames where to find the data.<br>
<em>Lines 193 to 217</em> need to be executed manually, to generate the desired plots and calculations.

It is also possible to load the <em>R_image.RData</em> data dump into an R session, import the library `psych` (<em>line 2</em> in the script) and manually execute <em>lines 193 to 217</em> to generate the desired plots and calculations.
description: The replication package is also available on our GitLab at https://gitlab.umwelt-campus.de/a.guldner/sustainability_performance_of_sustainability_management_software/tree/master
DOI: 10.14469/hpc/4712
title: OC: TS3, C-C bond formation with di-isopropyl amine present (S)-prolinol,-2861.844992. Product = (1S,2R,3R)

description: Gaussian Calculation
DOI: 10.5281/zenodo.1421279
title: Response-coordination-Joint action

description: The data presented here are reported in Ciardo & Wykowska 2018. <br> Please refer to that paper for context and method. We intend to upload the raw data shortly, which until then will be available upon request. Tabs: <br> MeanRTs:Correct mean reaction times as a function of Quartile in milliseconds.<br> SequenceMeanRTs:Correct mean reaction times as a function of trial-by-trial effects in milliseconds.<br> RTsTimeseries: Reaction times timeseries to compute %response coordination.<br> MixedModelsData:Correct mean reaction times and % response coordination. Reference: <br> Ciardo, F., & Wykowska, A. (2018). Response coordination emerges in cooperative but not competitive joint task. Frontiers in Psychology. doi: 10.3389/fpsyg.2018.01919.<br>
DOI: 10.5281/zenodo.1421280
title: Response-coordination-Joint action

description: The data presented here are reported in Ciardo & Wykowska 2018. <br> Please refer to that paper for context and method. We intend to upload the raw data shortly, which until then will be available upon request. Tabs: <br> MeanRTs:Correct mean reaction times as a function of Quartile in milliseconds.<br> SequenceMeanRTs:Correct mean reaction times as a function of trial-by-trial effects in milliseconds.<br> RTsTimeseries: Reaction times timeseries to compute %response coordination.<br> MixedModelsData:Correct mean reaction times and % response coordination. Reference: <br> Ciardo, F., & Wykowska, A. (2018). Response coordination emerges in cooperative but not competitive joint task. Frontiers in Psychology. doi: 10.3389/fpsyg.2018.01919.<br>
DOI: 10.5066/f7sx6c54
title: Molecular detection of avian influenza virus from sediment samples in waterfowl habitats on the Delmarva Peninsula, USA

description: Data were collected as part of an investigation developed by Leetown Science Center to investigate the comparative detection of avian influenza viruses from waterfowl and potential environmental reservoirs such as aquatic sediment from waterfowl habitat. This dataset identifies positive or negative test results for qRT-PCR (quantitative reverse transcriptase polymerase chain reaction) for avian influenza virus through identification of the Type A influenza virus matrix gene from aquatic sediment samples. Sediment samples were collected from waterfowl habitat so as to determine if temporal and spatial differences in virus detection by qRT-PCR were evident among test sites.
DOI: 10.18739/a2jq0st90
title: Compilation of Calanus hyperboreus abundance data, Arctic Ocean, 1934-2016
DOI: 10.5063/f1348hkm
title: Species occurrence database for the Gulf of California, described in Morzaria-Luna et al. 2018. Biodiversity hotspots are not congruent with conservation areas in the Gulf of California. Biodiversity and Conservation.

description: We generated a comprehensive database of existing species occurrence records for the Gulf of California by harnessing the expanded biodiversity informatics infrastructure and recently developed analytical tools for data processing. We obtained species occurrence points for all available taxa in marine and coastal areas in the Gulf of California within the polygon bounded by 32.139900, 20.164036 N and -115.142516, -104.95342. We gathered 286,533 occurrence records belonging to 12,105 unique species, including 6388 species identified as rare, 642 as endemic, and 386 as threatened. The records were used to identify biodiversity hotspots and determine the spatial congruence between current protected areas, and between priority areas selected through previous systematic conservation planning exercises. The R code used for the analysis is available from https://github.com/hmorzaria/biodiversity.Morzaria_et_al_GOC_biodiversity_recs.csv. Georeferrenced records for the Gulf of California.Morzaria_et_al_GOC_endemic_species.csv. Georeferrenced records for endemic speciesMorzaria_et_al_GOC_rare_species.csv. Georeferrenced records for rare speciesMorzaria_et_al_GOC_threatened_species.csv. Georeferrenced records for threatened species
DOI: 10.18739/a2g44hq20
title: Arctic Great Rivers Observatory III Biogeochemistry and Discharge Data, 2017-2019
DOI: 10.17632/86y5vk6n7p.1
title: Data for: An Arctic Ocean paleosalinity proxy from δ2H of palmitic acid provides evidence for deglacial Mackenzie River flood events

description: Hydrogen isotope data for lipids in surface sediments of the Russian Arctic.
DOI: 10.21223/p3/sjjggu
title: Replication Data for: First Report of Potato virus S Naturally Infecting Arracacha (Arracacia xanthorrhiza) in Peru

description: Arracacha is an andean root crop, that sometimes is grown together with potato plants. Potato virus S (PVS) has been reported that infect naturally pepino and potato. Due to there are reports that andean roots and tuber crops, we designed universal primers for carlaviruses in the RdRp region and an infected arracacha in the collection germplasm from International Potato Center (CIP) was detected. We complete the downstream sequence and analysis the 7kDa, 11kDa and the coat protein and concluded that it is a new strain of PVS. Moreover, the designed primer will be useful to detect this virus in arracacha where this culture is much marketed.
DOI: 10.21943/auas.5782914.v1
title: Monitoring athletes, trainers, coaches and health professionals: Basketball shooting percentages during training in talented female athletes 2015-2017

description: <b>Project</b><b>- </b>MATCH: Monitoring Athletes, Trainers, Coaches and Health professionals- Knowledge of the epidemiology and severity of injuries and illness in young female elite athletes is lacking- A monitor system (surveillance method) was developed for collecting data from questionnaires and physical tests- The project resulted in several datasets (see reference to Figshare collection)<br>As part of the MATCH-project shot rate data were collected during 2015-2017 training sessions of CTO Amsterdam Women’s basketball.<br><br><b>Data</b><br>- Participants: 22 young elite Dutch female athletes participating in talent development programmes (CTO Amsterdam)<b><br></b>- Shots were made from 18 positions at an indoor basketball court. - The fileset constains a csv-file with several columns and a pdf-file with further details. Columns:1) Shot position<br>2) Date and time<br>3) Shots made4) Shots total4) UserId- Because of the sensitive nature of the data, the fileset is confidential and will be shared only under strict conditions. For more information contact researchdata-kcbsv@hva.nl.<br><br><br>
DOI: 10.21943/auas.6865307.v1
title: Monitoring athletes, trainers, coaches and health professionals: Injuries and illnesses in talented female athletes 2014-2015

description: <b>Project </b><b>- </b>MATCH: Monitoring Athletes, Trainers, Coaches and Health professionals- Knowledge of the epidemiology and severity of injuries and illness in young female elite athletes is lacking- A monitor system (surveillance method) was developed for collecting data from questionnaires and physical tests- The project resulted in several datasets (see reference to Figshare collection) <br><b>Research</b>- Objective: to gain more insight into the injuries and illnesses of young female elite athletes by recording injury and illness prospectively throughout a full season.<br><br><b>Data</b>- Participants: 60 young elite Dutch female athletes participating in soccer (n=23), basketball (n=22) and gymnastic (n=15) talent development programmes (CTO Amsterdam). - Data collection: all athletes completed the Dutch version of the Oslo Sports Trauma Research Center Questionnaire on Health Problems every other week during the season 2014-2015.- Main outcome measures: average prevalence of injury and incidence density of injury.- Fileset contains three csv-files as source data (one for each sport); three processed xlsx-files to compute prevalance, incidence and health problem characteristics; four spss-syntax-files (*.sps) for analyses and labeling. Protocols and further details are described in a pdf-file and a data dictionary.- Because of the sensitive nature of the data, the fileset is confidential and will be shared only under strict conditions. For more information contact researchdata-kcbsv@hva.nl.<br>
DOI: 10.21943/auas.6865334.v1
title: Monitoring athletes, trainers, coaches and health professionals: Monitoring physical performance, agility and mental status in talented female athletes 2014-21015

description: <b>Project</b><b>- </b>MATCH: Monitoring Athletes, Trainers, Coaches and Health professionals- Knowledge of the epidemiology and severity of injuries and illness in young female elite athletes is lacking- A monitor system (surveillance method) was developed for collecting data from questionnaires and physical tests- The project resulted in several datasets (see reference to Figshare collection)<br><b>Data</b><br>- Participants: 45 young elite Dutch female athletes participating in soccer (n=23) and basketball (n=22) talent development programs (CTO Amsterdam).- Data collection: all athletes completed several physical, performance and agility tests (see fileset for more information) throughout the season 2014-2015. Additionally, basketball players completed a questionnaire with items on for example self-confidence, mental energy and behavior.- Fileset contains three csv-files (one for soccer; two for basketball) and a pdf-file with details about the protocols used and a data dictionary.<br>- Because of the sensitive nature of the data, the fileset is confidential and will be shared only under strict conditions. For more information contact researchdata-kcbsv@hva.nl.
DOI: 10.5281/zenodo.1421281
title: The influence of inhomogeneities and defects on novel Quantum Well and Quantum Dot based Infrared -emitting Semiconductor Lasers

description: <strong>Semiconductor Science and Technology article.</strong> In this paper we discuss the development of new semiconductor materials and approaches to overcome the fundamental limitations of well established (Al,In)GaAs/InP and InGaAsP/InP infrared-emitting lasers. We consider three approaches; dilute-nitride InGaAsN-based structures; InAs-based quantum dot/dash structures and the most recently emerging dilute-bismide (GaAsBi, InGaAsBi), all of which may be grown on either GaAs or InP substrates. These material systems provide a range of possibilities for band engineering and strain control, thereby giving new routes to improve device efficiency, overcoming existing limitations of device performance and to develop range of new cost-efficient devices with improved characteristics. However, all of these approaches have common difficulties related to establishing optimised growth conditions to produce high quality material for device fabrication. Particularly, in this paper we compare and contrast the effects of inhomogeneous carrier distribution in these systems and discuss the influence of this on the physical properties of lasers developed using these approaches. The authors dedicate this paper to the memory of Professor Naci Balkan (Essex) and Professor Jeff Hosea (Surrey) both of whom made significant contributions to the development of new semiconductor materials including the dilute nitrides and bismides as discussed in the paper. We are also pleased to acknowledge the many collaborators who have contributed to the development of the materials and devices considered in this work, including; Tyndall National Institute (Ireland), Philipps-Universität Marburg (Germany), University of Sheffield (UK), Universität Würzburg (Germany), Fujitsu Laboratories Ltd (Japan), Infineon Technologies AG (Germany) and the Center for Physical Sciences and Technology (Lithuania). We gratefully acknowledge funding from EPSRC (grants EP/H005587/1, EP/G064725/1, EP/N021037/1) and the EU-FP7 “BIANCHO” project (FP7-257974).
description: this is a dataset supporting the corresponding journal article
DOI: 10.5281/zenodo.1421282
title: The influence of inhomogeneities and defects on novel Quantum Well and Quantum Dot based Infrared -emitting Semiconductor Lasers

description: <strong>Semiconductor Science and Technology article.</strong> In this paper we discuss the development of new semiconductor materials and approaches to overcome the fundamental limitations of well established (Al,In)GaAs/InP and InGaAsP/InP infrared-emitting lasers. We consider three approaches; dilute-nitride InGaAsN-based structures; InAs-based quantum dot/dash structures and the most recently emerging dilute-bismide (GaAsBi, InGaAsBi), all of which may be grown on either GaAs or InP substrates. These material systems provide a range of possibilities for band engineering and strain control, thereby giving new routes to improve device efficiency, overcoming existing limitations of device performance and to develop range of new cost-efficient devices with improved characteristics. However, all of these approaches have common difficulties related to establishing optimised growth conditions to produce high quality material for device fabrication. Particularly, in this paper we compare and contrast the effects of inhomogeneous carrier distribution in these systems and discuss the influence of this on the physical properties of lasers developed using these approaches. The authors dedicate this paper to the memory of Professor Naci Balkan (Essex) and Professor Jeff Hosea (Surrey) both of whom made significant contributions to the development of new semiconductor materials including the dilute nitrides and bismides as discussed in the paper. We are also pleased to acknowledge the many collaborators who have contributed to the development of the materials and devices considered in this work, including; Tyndall National Institute (Ireland), Philipps-Universität Marburg (Germany), University of Sheffield (UK), Universität Würzburg (Germany), Fujitsu Laboratories Ltd (Japan), Infineon Technologies AG (Germany) and the Center for Physical Sciences and Technology (Lithuania). We gratefully acknowledge funding from EPSRC (grants EP/H005587/1, EP/G064725/1, EP/N021037/1) and the EU-FP7 “BIANCHO” project (FP7-257974).
description: this is a dataset supporting the corresponding journal article
DOI: 10.7910/dvn/aoguia/8h16o1
title: A6 File - hoax_lines.json

description: List of fake news made by Les Decodeurs (https://github.com/multivacplatform/presidentielle2017-info). All links have been manually screened to links that were judged openly parodic.
DOI: 10.7910/dvn/aoguia/rwqe36
title: A5 File - Politoscope_RetweetGraph_2017-04-24_2017-05-08_min_3_anon.tab

description: Anonymized graph for the French political landscape (3-communities) over the period [April 24 2017 – May 8 2017] (on the day of the second round of elections). CSV format : Source Target weight (weight is the number of retweets between Source and Target in either direction). Source and Target are anonymized unique Ids to this file.
DOI: 10.7910/dvn/aoguia/stcdnc
title: A9 File - keywords-query.txt

description: Keywords extracted from the programs of the 2017 French presidential election and a sample of tweets from the candidates. (https://github.com/multivacplatform/presidentielle2017-info)
DOI: 10.7910/dvn/aoguia/wszi2a
title: A7 File - debunk_lines.json

description: List of debunks made by Les decodeurs (https://github.com/multivacplatform/presidentielle2017-info)
DOI: 10.7910/dvn/aoguia/xrjnyd
title: A8 File - topic_queries.txt

description: Queries used to define major topics of the 2017 French presidential election (https://github.com/multivacplatform/presidentielle2017-info)
DOI: 10.7910/dvn/zsja25/3yzydv
title: Explanation_Data_Base.tab

description: :unav
DOI: 10.7910/dvn/zsja25/7z6ol5
title: Risk_Data_Bootstrap_Results.tab

description: :unav
DOI: 10.7910/dvn/zsja25/ajmecu
title: Risk_Code_Rendering.do

description: :unav
DOI: 10.7910/dvn/zsja25/dljekm
title: Explanation_Code_Writeins.do

description: :unav
DOI: 10.7910/dvn/zsja25/ege2hr
title: Codebook.pdf

description: :unav
DOI: 10.7910/dvn/zsja25/icxhev
title: Risk_Code_Mortality_Indivs.do

description: :unav
DOI: 10.7910/dvn/zsja25/jldngl
title: Risk_Code_Bootstrap.do

description: :unav
DOI: 10.7910/dvn/zsja25/jzk2ch
title: Risk_Code_Bootstrap_Prep.do

description: :unav
DOI: 10.7910/dvn/zsja25/mabr2e
title: Risk_Code_Bootstrap_Extract.do

description: :unav
DOI: 10.7910/dvn/zsja25/opuysx
title: Explanation_Code_Statements.do

description: :unav
DOI: 10.7910/dvn/zsja25/qbras2
title: Risk_Code_Indices.do

description: :unav
DOI: 10.7910/dvn/zsja25/txqizl
title: Risk_Code_IndexIJK.do

description: :unav
DOI: 10.7910/dvn/zsja25/udkv7z
title: Risk_Code_Respondents.do

description: :unav
DOI: 10.7910/dvn/zsja25/w6knxe
title: Master.do

description: :unav
DOI: 10.7910/dvn/zsja25/zqdh0s
title: Risk_Code_Mortality_Pairs.do

description: :unav
DOI: 10.21223/p3/1bbkln
title: Replication data for: ‘NASPOT 11’, a Sweetpotato Cultivar Bred by a Participatory Plant-breeding Approach in Uganda

description: The data set for the “NASPOT 11” HortScience release paper has on-farm participatory planta breeding trials conducted in Mpigi, Luwero, Soroti, Kiboga, and Kabale districts and on-station trials conducted at Namulonge, Kachwekano, Ngetta, and Serere between 2005 and 2008 leading to official cultivar release of “NASPOT 11” in Uganda in April 2010. Descriptions of the data are in a pdf file (Submission to the Variety Release Committee for Release of Sweetpotato Varieties). The on-farm and on-station data are in Excel format for Sweetpotato Breeding Protocol (manual) http://www.sweetpotatoknowledge.org/). The on-farm and on-station data on disease resistance, dry matter content, taste test and root weight from plots used to compute root yield, and biomass yield was the basis for official cultivar release of ‘NASPOT 11’, in 2010 in Uganda. The pdf file has details on background information, pedigree, cultivar description, site description, materials and methods, analysis, production package, cultivar maintenance and availability, and relevant tables and illustrations. illustrations.
DOI: 10.21223/p3/j0drye
title: Replication data for: siRNA Deep Sequencing and Assembly: Piecing Together Viral Infections

description: RNA silencing constitutes a fundamental antiviral defense mechanism in plants in which host enzymes cut viral RNA into pieces of 20–24 nt. When isolated, sequenced en-mass and properly assembled or aligned these virus-derived small RNA (sRNA) sequences can reconstitute genomic sequence information of the viruses being targeted in the plant. This approach is independent of the ability to culture or purify the virus and does not require any specific amplification or enrichment of viral nucleic acids as it automatically enriches for small RNAs of viral origin by tapping into a natural antiviral defense mechanism. Using this technique known and novel DNA and RNA viruses as well as viroids have been identified at sensitivity levels comparable to PCR. This chapter will examine the strength and caveats of small RNA sequencing and assembly (sRSA), utilizing examples from literature as well as our own unpublished experiences and analysis of publically available plant sRNA sequence datasets.