cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4818013.v1
title: Dataset for: Modelling imperfect presence data obtained by citizen science

description: There is growing awareness about the potential benefit of harnessing citizen science for research, particularly in the biological and environmental sciences. Data quality is a major constraint in the use of citizen-science data; in particular, imperfect observations. In this paper we fit species distribution models (SDMs) to presence-only data (presences and counts, with no absences observed) by exploiting the uncertainty in reported presences, instead of generating pseudo-absences as is common in previous presence-only studies. This approach allowed us to extend the suite of models to include those commonly fit to presence/absence and abundance data. We fit several models to a case study dataset of jaguar encounters reported by citizens in the Peruvian Amazon. The true species distribution for the case study data is unknown, and so we also undertake an extensive simulation study to evaluate model performance. We analyze the sources of error by studying the bias and variance of the models, and also discuss the predictive performance of each model and its ability to recover the true species distribution. The simulation study shows that although several approaches are capable of recovering the species distribution, the choice of a modelling approach is a complex one, and depends on factors such as inferential aim, model complexity, sample size and computational resources. This study also addresses some issues in dealing with compound-imperfect observations arising from citizen-science data, and we discuss further steps needed in this research area.
DOI: 10.6084/m9.figshare.4818016.v1
title: Problem Instances

description: Problem Instances
DOI: 10.6084/m9.figshare.4818004.v2
title: DP and MIP Solutions for Problem in Figure 4

description: DP and MIP Solutions for Problem in Figure 4<br>
DOI: 10.6084/m9.figshare.4818004.v1
title: DP and MIP Solutions Displayed in Figure 4.xlsx

description: DP and MIP Solutions
DOI: 10.6084/m9.figshare.4817947
title: Data and Model Networks

description: Supplementary Dataset and Code for Spatial clustering and heterogeneity in evolutionary games on structured populations: a unified framework<br>
DOI: 10.6084/m9.figshare.4817932
title: NICE study.xlsx

description: This trial was designed to study the influence of general and spinal anaesthesia for class 1 cesarean section
DOI: 10.6084/m9.figshare.4817947.v2
title: Data and Model Networks

description: Supplementary Dataset and Code for Spatial clustering and heterogeneity in evolutionary games on structured populations: a unified framework<br>
DOI: 10.6084/m9.figshare.4817932.v1
title: NICE study.xlsx

description: This trial was designed to study the influence of general and spinal anaesthesia for class 1 cesarean section
DOI: 10.6084/m9.figshare.4817947.v1
title: DataAndModel.zip

description: Supplementary Dataset and Code for Spatial clustering and heterogeneity in evolutionary games on structured populations: a unified framework<br>
DOI: 10.6084/m9.figshare.4817917
title: Raw Data .xlsx

description: The Data points behind mean presented in figures, tables and results.
DOI: 10.6084/m9.figshare.4817911
title: A nonmusician with severe Alzheimer’s dementia learns a new song

description: The hallmark symptom of Alzheimer’s Dementia (AD) is impaired memory, but memory for familiar music can be preserved. We explored whether a non-musician with severe AD could learn a new song. A 91 year old woman (NC) with severe AD was taught an unfamiliar song. We assessed her delayed song recall (24 hours and 2 weeks), music cognition, two word recall (presented within a familiar song lyric, a famous proverb, or as a word stem completion task), and lyrics and proverb completion. NC’s music cognition (pitch and rhythm perception, recognition of familiar music, completion of lyrics) was relatively preserved. She recalled 0/2 words presented in song lyrics or proverbs, but 2/2 word stems, suggesting intact implicit memory function. She could sing along to the newly learnt song on immediate and delayed recall (24 hours and 2 weeks later), and with intermittent prompting could sing it alone. This is the first detailed study of preserved ability to learn a new song in a non-musician with severe AD, and contributes to observations of relatively preserved musical abilities in people with dementia.
DOI: 10.6084/m9.figshare.4817911.v1
title: A nonmusician with severe Alzheimer’s dementia learns a new song

description: The hallmark symptom of Alzheimer’s Dementia (AD) is impaired memory, but memory for familiar music can be preserved. We explored whether a non-musician with severe AD could learn a new song. A 91 year old woman (NC) with severe AD was taught an unfamiliar song. We assessed her delayed song recall (24 hours and 2 weeks), music cognition, two word recall (presented within a familiar song lyric, a famous proverb, or as a word stem completion task), and lyrics and proverb completion. NC’s music cognition (pitch and rhythm perception, recognition of familiar music, completion of lyrics) was relatively preserved. She recalled 0/2 words presented in song lyrics or proverbs, but 2/2 word stems, suggesting intact implicit memory function. She could sing along to the newly learnt song on immediate and delayed recall (24 hours and 2 weeks later), and with intermittent prompting could sing it alone. This is the first detailed study of preserved ability to learn a new song in a non-musician with severe AD, and contributes to observations of relatively preserved musical abilities in people with dementia.
DOI: 10.6084/m9.figshare.4817917.v1
title: Raw Data .xlsx

description: The Data points behind mean presented in figures, tables and results.
DOI: 10.6084/m9.figshare.4817890
title: Preliminary evaluation of the Well-being in Pregnancy (WiP) questionnaire

description: <b>Background:</b> The concept of well-being is multi-faceted by encompassing both positive and negative emotions and satisfaction with life. Measuring both positive and negative thoughts and emotions is highly relevant in maternity care that aims to optimise a woman’s experience of pregnancy and childbirth, focussing on positive aspects of health and well-being, not just the prevention of ill health. Yet our understanding of well-being in pregnancy and childbirth is limited as research to date has focussed on negative aspects such as stress, anxiety or depression. The primary aim of this study is to describe the psychometric properties of a newly developed Well-being in Pregnancy (WiP) questionnaire. <b>Methods:</b> A cohort study of 318 women attending hospital antenatal clinics in Belfast completed a questionnaire including three general well-being measures (not pregnancy specific) and the newly developed WiP questionnaire. The psychometric properties of the questionnaire were analysed using correlations to explore the relationship between the WiP questionnaire with the generic well-being measures administered at the same time and exploratory factor analysis was conducted. <b>Results:</b> The overall Cronbach’s alpha of the WiP was 0.73. Principal factor analysis was run on the WiP items and two factors were identified, one reflecting positive affect and satisfaction (Cronbach’s alpha = 0.718) and the other concerns (Cronbach’s alpha = 0.702). Both the overall WiP score and WiP sub-scale scores displayed significant correlations with the other well-being scales (<i>r</i> = 0.235–0.527). <b>Conclusions:</b> Measuring well-being in pregnancy is an important step in understanding the potential physical, psychological and social benefits of pregnancy and in understanding how well-being can be enhanced for women and their families at this important life stage. The initial psychometric data presented for the WiP questionnaire are encouraging. Most importantly, the measure provides an opportunity for women to express positive and negative emotions and thoughts about their pregnancy thus reflecting the whole spectrum of well-being.
DOI: 10.6084/m9.figshare.4817890.v1
title: Preliminary evaluation of the Well-being in Pregnancy (WiP) questionnaire

description: <b>Background:</b> The concept of well-being is multi-faceted by encompassing both positive and negative emotions and satisfaction with life. Measuring both positive and negative thoughts and emotions is highly relevant in maternity care that aims to optimise a woman’s experience of pregnancy and childbirth, focussing on positive aspects of health and well-being, not just the prevention of ill health. Yet our understanding of well-being in pregnancy and childbirth is limited as research to date has focussed on negative aspects such as stress, anxiety or depression. The primary aim of this study is to describe the psychometric properties of a newly developed Well-being in Pregnancy (WiP) questionnaire. <b>Methods:</b> A cohort study of 318 women attending hospital antenatal clinics in Belfast completed a questionnaire including three general well-being measures (not pregnancy specific) and the newly developed WiP questionnaire. The psychometric properties of the questionnaire were analysed using correlations to explore the relationship between the WiP questionnaire with the generic well-being measures administered at the same time and exploratory factor analysis was conducted. <b>Results:</b> The overall Cronbach’s alpha of the WiP was 0.73. Principal factor analysis was run on the WiP items and two factors were identified, one reflecting positive affect and satisfaction (Cronbach’s alpha = 0.718) and the other concerns (Cronbach’s alpha = 0.702). Both the overall WiP score and WiP sub-scale scores displayed significant correlations with the other well-being scales (<i>r</i> = 0.235–0.527). <b>Conclusions:</b> Measuring well-being in pregnancy is an important step in understanding the potential physical, psychological and social benefits of pregnancy and in understanding how well-being can be enhanced for women and their families at this important life stage. The initial psychometric data presented for the WiP questionnaire are encouraging. Most importantly, the measure provides an opportunity for women to express positive and negative emotions and thoughts about their pregnancy thus reflecting the whole spectrum of well-being.
DOI: 10.6084/m9.figshare.4817872
title: Genetic variations related to maternal whole blood mitochondrial DNA copy number: a genome-wide and candidate gene study

description: We conducted genome-wide (GWAS) and candidate gene association studies of maternal mitochondrial DNA copy number. Maternal peripheral blood was collected during labor and delivery admission from 471 participants of a placental abruption case-control study conducted in Lima, Peru. Single nucleotide polymorphism (SNP) genotyping was performed using the Illumina Cardio-Metabo Chip. Whole blood mitochondrial DNA (mtDNA) copy number was measured using qRT-PCR techniques. We evaluated 119,629 SNPs in the GWAS and 161 SNPs (in 29 mitochondrial biogenesis and oxidative phosphorylation genes) in the candidate association study. Top hits from GWAS and the candidate gene study were selected to compute weighted genetic risk scores (wGRS). Linear regression models were used to calculate effect size estimates and related nominal <i>p</i> values. The top hit in our GWAS was chr19:51063065 in FOXA3 (empirical <i>p</i> values = 2.20e − 6). A total of 134 SNPs had <i>p</i> values p values = 6.32e − 6) and chr19:51083059 in MYPOP (<i>p</i> values = 3.23e − 5). In the candidate association study, several SNPs in PPARG, PRKCA, SP1 and THRB were associated with mtDNA copy number (<i>p</i> values β = 0.49, 95% CI:0.38–0.60, <i>p</i>
DOI: 10.6084/m9.figshare.4817860
title: Emotive Lexicon

description: This lexicon is developed as part of the research work conducted on Emotion-based sentiment classification. It is conducted by Afsana Bibi, MS scholar, under the supervision of Dr. Muhammad Zubair Asghar, ICIT, Gomal University, DIKHAN, Paksitan; other collobolrators are Dr. Aurangzeb Khan, Dept. of Computer Science, UST, Bannu, Pakistan, Dr. Fazal Masud Kundi, and Hussain Ahmad, ICIT, Gomal University, DIKHAN, Paksitan
DOI: 10.6084/m9.figshare.4817872.v1
title: Genetic variations related to maternal whole blood mitochondrial DNA copy number: a genome-wide and candidate gene study

description: We conducted genome-wide (GWAS) and candidate gene association studies of maternal mitochondrial DNA copy number. Maternal peripheral blood was collected during labor and delivery admission from 471 participants of a placental abruption case-control study conducted in Lima, Peru. Single nucleotide polymorphism (SNP) genotyping was performed using the Illumina Cardio-Metabo Chip. Whole blood mitochondrial DNA (mtDNA) copy number was measured using qRT-PCR techniques. We evaluated 119,629 SNPs in the GWAS and 161 SNPs (in 29 mitochondrial biogenesis and oxidative phosphorylation genes) in the candidate association study. Top hits from GWAS and the candidate gene study were selected to compute weighted genetic risk scores (wGRS). Linear regression models were used to calculate effect size estimates and related nominal <i>p</i> values. The top hit in our GWAS was chr19:51063065 in FOXA3 (empirical <i>p</i> values = 2.20e − 6). A total of 134 SNPs had <i>p</i> values p values = 6.32e − 6) and chr19:51083059 in MYPOP (<i>p</i> values = 3.23e − 5). In the candidate association study, several SNPs in PPARG, PRKCA, SP1 and THRB were associated with mtDNA copy number (<i>p</i> values β = 0.49, 95% CI:0.38–0.60, <i>p</i>
DOI: 10.6084/m9.figshare.4817860.v1
title: Emotive Lexicon

description: This lexicon is developed as part of the research work conducted on Emotion-based sentiment classification. It is conducted by Afsana Bibi, MS scholar, under the supervision of Dr. Muhammad Zubair Asghar, ICIT, Gomal University, DIKHAN, Paksitan; other collobolrators are Dr. Aurangzeb Khan, Dept. of Computer Science, UST, Bannu, Pakistan, Dr. Fazal Masud Kundi, and Hussain Ahmad, ICIT, Gomal University, DIKHAN, Paksitan
DOI: 10.6084/m9.figshare.4817860.v3
title: Emotive Lexicon

description: This lexicon is developed as part of the research work conducted on Emotion-based sentiment classification. It is conducted by Afsana Bibi, MS scholar, under the supervision of Dr. Muhammad Zubair Asghar, ICIT, Gomal University, DIKHAN, Paksitan; other collobolrators are Dr. Aurangzeb Khan, Dept. of Computer Science, UST, Bannu, Pakistan, Dr. Fazal Masud Kundi, and Hussain Ahmad, ICIT, Gomal University, DIKHAN, Paksitan
DOI: 10.6084/m9.figshare.4817860.v2
title: Emotive Lexicon

description: This lexicon is developed as part of the research work conducted on Emotion-based sentiment classification. It is conducted by Afsana Bibi, MS scholar, under the supervision of Dr. Muhammad Zubair Asghar, ICIT, Gomal University, DIKHAN, Paksitan; other collobolrators are Dr. Aurangzeb Khan, Dept. of Computer Science, UST, Bannu, Pakistan, Dr. Fazal Masud Kundi, and Hussain Ahmad, ICIT, Gomal University, DIKHAN, Paksitan
DOI: 10.6073/pasta/57d8a92611aa95a2c98c42bf2e97e2a4
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 1 meteorological station: 5-minute summary wind and air temperature data: 2013 - ongoing

description: This data package contains 5-minute air temperature and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-1 met station. Average air temperature, wind speed, and wind direction are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This is a subset of baseline weather data collected at the 15 Jornada Basin LTER CSIS study blocks, New Mexico. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.4816942
title: Differentially expressed gene lists for A. ervi

description: Differentially expressed gene lists (Supplementary table 1) as described in "Expression differences in <i>Aphidius ervi</i> (Hymenoptera: Braconidae) females reared on different aphid host species".
DOI: 10.6084/m9.figshare.4816939
title: Aphidius ervi, de novo transcriptome assembly, reduced set

description: Filtered A. ervi transcriptomic assembly, 17.763 sequences (only A. ervi sequences with insect orthologues)<br>
DOI: 10.6084/m9.figshare.4816930
title: FOAM database HMMs

description: FOAM database HMMS<br>
DOI: 10.6084/m9.figshare.4816930.v1
title: FOAM database HMMs

description: FOAM database HMMS<br>
DOI: 10.6084/m9.figshare.4816939.v2
title: Aphidius ervi, de novo transcriptome assembly, reduced set

description: Filtered A. ervi transcriptomic assembly, 17.763 sequences (only A. ervi sequences with insect orthologues)<br>
DOI: 10.6084/m9.figshare.4816939.v1
title: Aphidius ervi, filtered transcriptome de novo assembly

description: Filtered A. ervi transcriptomic assembly, 17.763 sequences. <br>
DOI: 10.6084/m9.figshare.4816942.v1
title: New draft item

description: differentially expressed gene lists (Supplementary table 1) as described in "Expression differences in <i>Aphidius ervi</i> (Hymenoptera: Braconidae) females reared on different aphid host species".
DOI: 10.6084/m9.figshare.4816915
title: Dynamic fitness landscapes

description: http://pleiotropy.fieldofscience.com/2014/06/the-simulations-behind-fitness.html<br>Full video: https://www.youtube.com/watch?v=FTBUIJwlVBg
DOI: 10.6084/m9.figshare.4816942.v2
title: New draft item

description: Differentially expressed gene lists (Supplementary table 1) as described in "Expression differences in <i>Aphidius ervi</i> (Hymenoptera: Braconidae) females reared on different aphid host species".
DOI: 10.6084/m9.figshare.4816915.v1
title: Dynamic fitness landscapes

description: http://pleiotropy.fieldofscience.com/2014/06/the-simulations-behind-fitness.html<br>Full video: https://www.youtube.com/watch?v=FTBUIJwlVBg
DOI: 10.6084/m9.figshare.4816942.v4
title: Differentially expressed gene lists for A. ervi

description: Differentially expressed gene lists (Supplementary table 1) as described in "Expression differences in <i>Aphidius ervi</i> (Hymenoptera: Braconidae) females reared on different aphid host species".
DOI: 10.6084/m9.figshare.4816942.v3
title: Differentially expressed gene lists for A. ervi

description: Differentially expressed gene lists (Supplementary table 1) as described in "Expression differences in <i>Aphidius ervi</i> (Hymenoptera: Braconidae) females reared on different aphid host species".
DOI: 10.6084/m9.figshare.4816903
title: Fitness landscapes, two traits, sympatric populations

description: http://pleiotropy.fieldofscience.com/2014/06/the-simulations-behind-fitness.html
DOI: 10.6084/m9.figshare.4816903.v1
title: survival-flattest-landscape-2x-speed.mov

description: http://pleiotropy.fieldofscience.com/2014/06/the-simulations-behind-fitness.html
DOI: 10.6084/m9.figshare.4816888
title: LMT-data.xlsx

description: Data set
DOI: 10.6084/m9.figshare.4816882
title: for Skyline crash evaluation

description: PRM data
DOI: 10.6084/m9.figshare.4816882.v1
title: for Skyline crash evaluation

description: PRM data
DOI: 10.6084/m9.figshare.4816888.v1
title: LMT-data.xlsx

description: Data set
DOI: 10.6084/m9.figshare.4816837
title: Runninf fuzzy experience_real_Dataset_experts_1_2_3

description: Real Dataset of 100 runners evaluated by the fuzzy model that classifies experience in running and the score given by three expert running coaches.
DOI: 10.6084/m9.figshare.4816837.v1
title: Runninf fuzzy experience_real_Dataset_experts_1_2_3

description: Real Dataset of 100 runners evaluated by the fuzzy model that classifies experience in running and the score given by three expert running coaches.
DOI: 10.6084/m9.figshare.4816807
title: Raw Data

description: This folder contains the raw data from the experiment days as well as the matlab script for analyzing the data.
DOI: 10.6084/m9.figshare.4816741
title: EBV-data Fourcade et al _ PLOS One 2017

description: See Article by Fourcade and Epaulard, PLOS One 2017
DOI: 10.6084/m9.figshare.4816741.v1
title: EBV-data Fourcade et al _ PLOS One 2017

description: See Article by Fourcade and Epaulard, PLOS One 2017
DOI: 10.6084/m9.figshare.4816720
title: Metadata for all DOIs in Crossref: JSON MongoDB exports of all works from the Crossref API

description: crossref-works.json.xz contains Crossref metadata for 87,542,370 DOIs retrieved by querying works from the Crossref API.<br>Queries began on 2017-03-21 and completed on 2017-04-02. The process died or stalled several times, but was restarted using the API's cursor. Accordingly, the works should represent the Crossref database as of 2017-03-21.<code><br></code><code>crossref-works.json.xz</code> is an xz-compressed file of exported works from MongoDB. It was created using <code>mongoexport</code> and can be imported into MongoDB using <code>mongoimport</code>. The file as a whole is not actually valid JSON. However, each line of the file is valid JSON and encodes a single work retrieved from the Crossref API. Accordingly, you can read this file without <code>mongoimport</code> by splitting at newlines and parsing each line as JSON.<br><br>See https://git.io/vSzIU for more information. The versioned shortDOI for this figshare article is https://doi.org/b48h.<br>
DOI: 10.6084/m9.figshare.4816663
title: Discover DH: Data Edition

description: These are the presentations from our training series on humanities data. <br>
DOI: 10.6084/m9.figshare.4816588
title: MolMic Supplementary Information with figure.pdf

description: Supplemental Information for Smits et al Mol Microbiol. 2005 May;56(3):604-14. DOI:10.1111/j.1365-2958.2005.04488.x
DOI: 10.6084/m9.figshare.4816534
title: Toegang tot de som van alle kennis

description: Middels een openbare lezing op dinsdag 4 april as van 19:00u - 21:00u in Self Reliance Tower, zal middels 3 presentaties en een paneldiscussie dit onderwerp besproken worden. De keynote spreker is Andra Waagmeester. Andra is biomedische wetenschapper en in Antwerpen (België) actief als data scientist in Micelio.tijdens de lezing “ Big Data the key to Development” zal de keynote spreker, Andra Waagmeester, uitleggen hoe open data bij kan dragen tot een betere ontsluiting van de beschikbare kennis. Dit in de twee mogelijke richtingen, namelijk (1) hoe krijg ik toegang tot beschikbare kennis/data, alsook (2) hoe deel ik mijn eigen data/kennis met een breder publiek.Anuskha Sonai zal het hebben over de trends op het gebied van Big Data en zal ingaan op het commercieel gebruik van informatie die nu open en toegankelijk is voor een ieder. Dhr. Bryan Renten zal als voorzitter van de Vereniging Surinaams Bedrijfsleven zijn inzichten delen bij de paneldiscussie. Dhr. Robert Hahn zal tijdens de paneldiscussie ook zijn mening en visie als voorzitter van de ICT Associatie Suriname delen.
DOI: 10.6084/m9.figshare.4816588.v1
title: MolMic Supplementary Information with figure.pdf

description: Supplemental Information for Smits et al Mol Microbiol. 2005 May;56(3):604-14. DOI:10.1111/j.1365-2958.2005.04488.x