cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4668826
title: 7. ArcGIS post-processing of response curves

description: ArcGIS post-processing of MaxEnt response curves to make data and computed probability of occurence spatially explicit.Contains GDB. Need to download all files to display correctly (with ArcMap 10.5)
DOI: 10.6084/m9.figshare.4668826.v1
title: 7. ArcGIS post-processing of response curves

description: ArcGIS post-processing of MaxEnt response curves to make data and computed probability of occurence spatially explicit.Contains GDB. Need to download all files to display correctly (with ArcMap 10.5)
DOI: 10.6084/m9.figshare.4668811
title: 5b. MaxEnt output - cumulative

description: Cumulative data: MaxEnt results (csv) and habitat suitability ascii file
DOI: 10.6084/m9.figshare.4668823
title: 6. MaxEnt output restructure R

description: MaxEnt response curves (output) xlsx files and matlab script describing data post-processing (from maxent2xlsx).R script to produce response curves graphs in R format. CSV files describe the response curve (average and std) - input for R script
DOI: 10.6084/m9.figshare.4668811.v1
title: 5b. MaxEnt output - cumulative

description: Cumulative data: MaxEnt results (csv) and habitat suitability ascii file
DOI: 10.6084/m9.figshare.4668808
title: 5a. MaxEnt output - Raw

description: Raw data: MaxEnt results (csv) and haibitat suitability ascii file
DOI: 10.6084/m9.figshare.4668766
title: 4. Correlation-check scripts

description: Matlab scripts to check for correlation between continuous variables and categorical variables (Cramers V). Input files for the categorical variables are provided, others can be found in 10.6084/m9.figshare.4668745
DOI: 10.6084/m9.figshare.4668745
title: 3. ASCII Environmental data + sampling bias correction

description: Environmental variables used to run maxent model + sampling bias file (all ascii format)<br>
DOI: 10.6084/m9.figshare.4668736
title: 2. Eland Observation data

description: Species observation data of eland (Taurotragus oyx) in Sneeuberg Nature Reserve, SA.<br>Content:<br>All_obs_long_latitude.csv = csv-file of all eland herd observation (longitude and latitue)<br>Eland_projected_UTM.xls = All data/meta data collected during ground census, with projected coordinated (WGS_1984_UTM_ZONE_35s)MaxEnt input data.csv = eland observation data as was used to run MaxEnt (without duplicates)CPE_ELAND.kmz = Google Earth file of eland observations <br><br>
DOI: 10.6084/m9.figshare.4668766.v2
title: 4. Correlation-check scripts

description: Matlab scripts to check for correlation between continuous variables and categorical variables (Cramers V). Input files for the categorical variables are provided, others can be found in 10.6084/m9.figshare.4668745
DOI: 10.6084/m9.figshare.4668721
title: 1. Vegetation analysis

description: Collected vegetation data in Sneeuberg with Line Intercept Method.
DOI: 10.6084/m9.figshare.4668745.v2
title: 3. ASCII Environmental data + sampling bias correction

description: Environmental variables used to run maxent model + sampling bias file (all ascii format)<br>
DOI: 10.6084/m9.figshare.4668736.v2
title: 2. Eland Observation data

description: Species observation data of eland (Taurotragus oyx) in Sneeuberg Nature Reserve, SA.<br>Content:<br>All_obs_long_latitude.csv = csv-file of all eland herd observation (longitude and latitue)<br>Eland_projected_UTM.xls = All data/meta data collected during ground census, with projected coordinated (WGS_1984_UTM_ZONE_35s)MaxEnt input data.csv = eland observation data as was used to run MaxEnt (without duplicates)CPE_ELAND.kmz = Google Earth file of eland observations <br><br>
DOI: 10.6084/m9.figshare.4668745.v1
title: 3. ASCII Environmental data + sampling bias correction

description: Environmental variables used to run maxent model + sampling bias file (all ascii format)<br>
DOI: 10.6084/m9.figshare.4668736.v1
title: Eland Observation data

description: Files:<br>All_obs_long_latitude.csv = csv-file of all eland herd observation (longitude and latitue)<br>Eland_projected_UTM.xls = All data/meta data collected during ground census, with projected coordinated (WGS_1984_UTM_ZONE_35s)MaxEnt input data.csv = eland observation data as was used to run MaxEnt (without duplicates)CPE_ELAND.kmz = Google Earth file of eland observations <br><br>
DOI: 10.6084/m9.figshare.4668721.v2
title: 1. Vegetation analysis

description: Collected vegetation data in Sneeuberg with Line Intercept Method.
DOI: 10.6084/m9.figshare.4668694
title: Microstructural Imaging and Characterization of Oil Shale Before and After Pyrolysis (FUEL Journal).

description: Microstructural Imaging and Characterization of Oil Shale Before and After Pyrolysis (FUEL Journal).<br> <br>For further information, please contact Qingyang Lin (Lewis): q.lin11@imperial.ac.uk<br>
DOI: 10.6084/m9.figshare.4668694.v1
title: Microstructural Imaging and Characterization of Oil Shale Before and After Pyrolysis (FUEL Journal).

description: Microstructural Imaging and Characterization of Oil Shale Before and After Pyrolysis (FUEL Journal).<br> <br>For further information, please contact Qingyang Lin (Lewis): q.lin11@imperial.ac.uk<br>
DOI: 10.6084/m9.figshare.4668721.v1
title: Vegetation analysis.xlsx

description: Collected vegetation data in Sneeuberg with Line Intercept Method.
DOI: 10.6084/m9.figshare.4668586
title: Recombination rate

description: As described in <br><em><strong>Nature Genetics </strong></em>47(3):235-241. doi: 10.1038/ng.3215<br>See here: http://www.ncbi.nlm.nih.gov/pubmed/25665008<br><br>File updated with correct data 2/3/17<br>DJ<br>
DOI: 10.6084/m9.figshare.4668583
title: radish IMP

description: Raw data of Drosophila flight behavior with incoherent motion stimuli. Behavioral phenotype of the mutant <i>radish<sup>1</sup>.</i><br>
DOI: 10.6084/m9.figshare.4668571
title: Monocular TPMP

description: Raw data of Drosophila flight behavior with incoherent motion stimuli.
DOI: 10.6084/m9.figshare.4668583.v1
title: radish IMP

description: Raw data of Drosophila flight behavior with incoherent motion stimuli. Behavioral phenotype of the mutant <i>radish<sup>1</sup>.</i><br>
DOI: 10.6084/m9.figshare.4668586.v2
title: Recombination rate

description: As described in <br><em><strong>Nature Genetics </strong></em>47(3):235-241. doi: 10.1038/ng.3215<br>See here: http://www.ncbi.nlm.nih.gov/pubmed/25665008<br><br>File updated with correct data 2/3/17<br>DJ<br>
DOI: 10.6084/m9.figshare.4668565
title: TPMP Pattern Element Distance 91%

description: Raw data of Drosophila flight behavior with incoherent motion stimuli and various numbers of horizontal pattern elements at 91% contrast.
DOI: 10.6084/m9.figshare.4668571.v1
title: Monocular IMP

description: Raw data of Drosophila flight behavior with incoherent motion stimuli.
DOI: 10.6084/m9.figshare.4668559
title: IMP Pattern Element Distance 37%

description: Raw data of Drosophila flight behavior with incoherent motion stimuli and various numbers of horizontal pattern elements at 37% contrast.<br>
DOI: 10.6084/m9.figshare.4668565.v1
title: IMP Pattern Element Distance 91%

description: Raw data of Drosophila flight behavior with incoherent motion stimuli and various numbers of horizontal pattern elements at 91% contrast.
DOI: 10.6084/m9.figshare.4668508
title: Introdução ao Planeta Terra e a Geologia

description: material didático para atividade de palavras cruzadas em aula de Geologia.
DOI: 10.6084/m9.figshare.4668559.v1
title: IMP Pattern Element Distance 37%

description: Raw data of Drosophila flight behavior with incoherent motion stimuli and various numbers of horizontal pattern elements at 37% contrast.<br>
DOI: 10.6084/m9.figshare.4668484
title: Scandcleft randomised trials of primary surgery for unilateral cleft lip and palate: 5. Speech outcomes in 5-year-olds - consonant proficiency and errors

description: <b>Background and aim:</b> Normal articulation before school start is a main objective in cleft palate treatment. The aim was to investigate if differences exist in consonant proficiency at age 5 years between children with unilateral cleft lip and palate (UCLP) randomised to different surgical protocols for primary palatal repair. A secondary aim was to estimate burden of care in terms of received additional secondary surgeries and speech therapy. <b>Design:</b> Three parallel group, randomised clinical trials were undertaken as an international multicentre study by 10 cleft teams in five countries: Denmark, Finland, Norway, Sweden, and the UK. <b>Methods:</b> Three different surgical protocols for primary palatal repair were tested against a common procedure in the total cohort of 448 children born with non-syndromic UCLP. Speech audio- and video-recordings of 391 children (136 girls and 255 boys) were available and transcribed phonetically. The main outcome measure was Percent Consonants Correct (PCC) from blinded assessments. <b>Results:</b> In Trial 1, arm A showed statistically significant higher PCC scores (82%) than arm B (78%) (<i>p</i> = .045). No significant differences were found between prevalences in Trial 2, A: 79%, C: 82%; or Trial 3, A: 80%, D: 85%. Across all trials, girls achieved better PCC scores, excluding s-errors, than boys (91.0% and 87.5%, respectively) (<i>p</i> = .01). <b>Conclusions:</b> PCC scores were higher in arm A than B in Trial 1, whereas no differences were found between arms in Trials 2 or 3. The burden of care in terms of secondary pharyngeal surgeries, number of fistulae, and speech therapy visits differed. <b>Trial registration:</b> ISRCTN29932826.
DOI: 10.6084/m9.figshare.4668484.v1
title: Scandcleft randomised trials of primary surgery for unilateral cleft lip and palate: 5. Speech outcomes in 5-year-olds - consonant proficiency and errors

description: <b>Background and aim:</b> Normal articulation before school start is a main objective in cleft palate treatment. The aim was to investigate if differences exist in consonant proficiency at age 5 years between children with unilateral cleft lip and palate (UCLP) randomised to different surgical protocols for primary palatal repair. A secondary aim was to estimate burden of care in terms of received additional secondary surgeries and speech therapy. <b>Design:</b> Three parallel group, randomised clinical trials were undertaken as an international multicentre study by 10 cleft teams in five countries: Denmark, Finland, Norway, Sweden, and the UK. <b>Methods:</b> Three different surgical protocols for primary palatal repair were tested against a common procedure in the total cohort of 448 children born with non-syndromic UCLP. Speech audio- and video-recordings of 391 children (136 girls and 255 boys) were available and transcribed phonetically. The main outcome measure was Percent Consonants Correct (PCC) from blinded assessments. <b>Results:</b> In Trial 1, arm A showed statistically significant higher PCC scores (82%) than arm B (78%) (<i>p</i> = .045). No significant differences were found between prevalences in Trial 2, A: 79%, C: 82%; or Trial 3, A: 80%, D: 85%. Across all trials, girls achieved better PCC scores, excluding s-errors, than boys (91.0% and 87.5%, respectively) (<i>p</i> = .01). <b>Conclusions:</b> PCC scores were higher in arm A than B in Trial 1, whereas no differences were found between arms in Trials 2 or 3. The burden of care in terms of secondary pharyngeal surgeries, number of fistulae, and speech therapy visits differed. <b>Trial registration:</b> ISRCTN29932826.
DOI: 10.6084/m9.figshare.4668436
title: GLUCOSE RECOVERY FROM DIFFERENT CORN STOVER FRACTIONS_DA_NB

description: This data set presents the estimation of potential glucose recovery from different corn stover fractions obtained from Uganda. This study was conducted by researchers from the department of Agricultural Engineering and a visiting professor from University of Kentucky, Paducah.
DOI: 10.6084/m9.figshare.4668436.v1
title: GLUCOSE RECOVERY FROM DIFFERENT CORN STOVER FRACTIONS_DA_NB

description: This data set presents the estimation of potential glucose recovery from different corn stover fractions obtained from Uganda. This study was conducted by researchers from the department of Agricultural Engineering and a visiting professor from University of Kentucky, Paducah.
DOI: 10.6084/m9.figshare.4668400
title: IMP Contrast Dependence

description: Raw data of Drosophila flight behavior with incoherent motion under varying contrast conditions.<br>
DOI: 10.6084/m9.figshare.4668400.v1
title: IMP Contrast Dependence

description: Raw data of Drosophila flight behavior with incoherent motion under varying contrast conditions.<br>
DOI: 10.6084/m9.figshare.4668376
title: Raw Data Temporal Dynamics IMP

description: Drosophila flight behavior under incoherent motion conditions.<br>
DOI: 10.6084/m9.figshare.4668376.v1
title: Raw Data Temporal Dynamics IMP

description: Drosophila flight behavior under incoherent motion conditions.<br>
DOI: 10.6084/m9.figshare.4668364
title: Evolution of the file co-modification network for Vue.js

description: Video of the evolution of the file co-occurence graph in vue.js, a javascript open source framework. <br>Nodes are files, and edges join them if they appear at the same time in a commit in data analyzed from their GitHub repository https://github.com/vuejs/vue<br>Data is also attached to this, and has been extracted using Perl and plotted using R<br>
DOI: 10.6084/m9.figshare.4668364.v1
title: Evolution of the file co-modification network for Vue.js

description: Video of the evolution of the file co-occurence graph in vue.js, a javascript open source framework. <br>Nodes are files, and edges join them if they appear at the same time in a commit in data analyzed from their GitHub repository https://github.com/vuejs/vue<br>Data is also attached to this, and has been extracted using Perl and plotted using R<br>
DOI: 10.6084/m9.figshare.4668337
title: Comparison of the postoperative visual quality after SMILE and LASEK for high myopia: a 1-year outcome

description: <b>Table 3.</b> Preoperative Contrast Sensitivity (log10)<br>
DOI: 10.6084/m9.figshare.4668334
title: Comparison of the postoperative visual quality after SMILE and LASEK for high myopia: a 1-year outcome

description: <b>Table 1.</b> Preoperative Demographic Data<br>
DOI: 10.6084/m9.figshare.4668337.v1
title: Comparison of the postoperative visual quality after SMILE and LASEK for high myopia: a 1-year outcome

description: <b>Table 3.</b> Preoperative Contrast Sensitivity (log10)<br>
DOI: 10.6084/m9.figshare.4668367.v3
title: Library & Digital Technologies : What are the challenges & the role to play ?

description: Graphics from the "MOOC Digital Technologies and research in health and life sciences" <br><br>MOOC <br>Syllabus here
DOI: 10.6084/m9.figshare.4668334.v1
title: Comparison of the postoperative visual quality after SMILE and LASEK for high myopia: a 1-year outcome

description: <b>Table 1.</b> Preoperative Demographic Data<br>
DOI: 10.6084/m9.figshare.4668322
title: Comparison of the postoperative visual quality after SMILE and LASEK for high myopia: a 1-year outcome

description: <b>Table 2. </b>Demographic Data One year Postoperatively<br>
DOI: 10.6084/m9.figshare.4668367.v5
title: Library & Digital Technologies : What are the challenges & the role to play ?

description: Graphics from the "MOOC Digital Technologies and research in health and life sciences" <br><br>MOOC <br>Syllabus here
DOI: 10.6084/m9.figshare.4668322.v1
title: Comparison of postoperative visual quality after SMILE and LASEK for high myopia: a 1-year outcome

description: Table 1; Table 2; Table 3<br>
DOI: 10.6084/m9.figshare.4668280
title: 8,325 Proteins Relevant to CVD

description: This table contains the 8,325 genes relevant to Cardiovascular diseases using the method described here: http://dx.doi.org/10.1016/j.jacc.2015.04.072.
DOI: 10.6084/m9.figshare.4668271
title: Financial

description: Lottery choices and subject decisions in financial task.Columns are as follows:1: Probability of gain2: Gain (% decrease in monetary winnings)3: Probability of loss4: Loss (% increase in monetary winnings)5: Subject choice (Strongly Accept, Weakly Accept, Weakly Reject, Strongly Reject)6. Time to first decision (Accept/Reject) in milliseconds7. Time to second decision (Strongly/Weakly) in milliseconds
DOI: 10.6084/m9.figshare.4668268
title: Climatic vulnerability of the world’s freshwater and marine fishes

description: Comte, L. and J.D. Olden. 2017. Climatic vulnerability of the world’s freshwater and marine fishes. <i>Nature Climate Change. </i>doi:10.1038/nclimate3382<br> The spreadsheet "Original_data" contains the information regarding the upper thermal tolerances of the 485 fish species collected from the literature. The full list of references is given in the spreadsheet "List_of_reference". A copy of the original articles are available upon request to L.C.<br><br>The spreadsheet "Imputed_data" contains the imputed upper thermal tolerances for the 2960 species considered in the analyses.<br><br>
DOI: 10.6084/m9.figshare.4668271.v1
title: Financial

description: Lottery choices and subject decisions in financial task.Columns are as follows:1: Probability of gain2: Gain (% decrease in monetary winnings)3: Probability of loss4: Loss (% increase in monetary winnings)5: Subject choice (Strongly Accept, Weakly Accept, Weakly Reject, Strongly Reject)6. Time to first decision (Accept/Reject) in milliseconds7. Time to second decision (Strongly/Weakly) in milliseconds
DOI: 10.6084/m9.figshare.4668265
title: Effort day 2

description: Lottery choices and subject decisions in effort task (day 2).Columns are as follows:1: Probability of gain2: Gain (% decrease in effort)3: Probability of loss4: Loss (% increase in effort)5: Subject choice (Strongly Accept, Weakly Accept, Weakly Reject, Strongly Reject)6. Time to first decision (Accept/Reject) in milliseconds7. Time to second decision (Strongly/Weakly) in milliseconds
DOI: 10.6084/m9.figshare.4668262
title: Effort day 1

description: Lottery choices and subject decisions in effort task (day 1).Columns are as follows:1: Probability of gain2: Gain (% decrease in effort)3: Probability of loss4: Loss (% increase in effort)5: Subject choice (Strongly Accept, Weakly Accept, Weakly Reject, Strongly Reject)6. Time to first decision (Accept/Reject) in milliseconds7. Time to second decision (Strongly/Weakly) in milliseconds<br>
DOI: 10.6084/m9.figshare.4668265.v1
title: Effort day 2

description: Lottery choices and subject decisions in effort task (day 2).Columns are as follows:1: Probability of gain2: Gain (% decrease in effort)3: Probability of loss4: Loss (% increase in effort)5: Subject choice (Strongly Accept, Weakly Accept, Weakly Reject, Strongly Reject)6. Time to first decision (Accept/Reject) in milliseconds7. Time to second decision (Strongly/Weakly) in milliseconds
DOI: 10.6084/m9.figshare.4668262.v1
title: Effort day 1

description: Lottery choices and subject decisions in effort task (day 1).Columns are as follows:1: Probability of gain2: Gain (% decrease in effort)3: Probability of loss4: Loss (% increase in effort)5: Subject choice (Strongly Accept, Weakly Accept, Weakly Reject, Strongly Reject)6. Time to first decision (Accept/Reject) in milliseconds7. Time to second decision (Strongly/Weakly) in milliseconds<br>
DOI: 10.17608/k6.auckland.4668247
title: SCoA Master Excel

description: The SCoA Excel spreadsheet contains all items from all six versions and shows the history of items as they were added, deleted, or carried through. It also shows the factor to which each items was aligned.
DOI: 10.6084/m9.figshare.4668229
title: Corpus and Software

description: We are constantly exposed to a large number of chemicals present in food, water, air, dust, soil and consumer products. These chemicals enter our bodies via several routes: ingestion, inhalation and dermal absorption. Many of these chemicals are known or suspected to have toxic effects that can cause disorders and diseases. Chemical risk assessment is the process of evaluating such risks, and includes exposure assessment.Exposure assessment methods include both indirect methods, such as exposure modelling and exposure calculations based on environmental measurements and questionnaire data, and direct measurements, such as human biomonitoring (HBM) and personal monitoring. HBM is the measurement of exposure biomarkers (chemicals or chemical metabolites) and effect biomarkers (indicators of effects caused by chemical exposure) in human body tissues or fluids, such as blood, hair and urine. To assess the total exposure to a chemical and evaluate the importance of different exposure routes.<br>We have annotated a corpus of 3686 scientific publication abstracts with a novel classification taxonomy specific to Exposure assessment. The taxonomy is divided into two main branches: <i>Biomonitoring</i> and <i>Exposure routes</i>.<br>You can also download the pre-processed corpus, which includes extracted Part-of-Speech tags, grammatical relations, Named Entities, Medical Subject Headings, Chemical lists, verb clusters and n-grams<br>The pre-processed corpus includes all features extracted by our software. This will save you the effort of extracting the features, and you only need to train your models using our provided software (or any other software/tools that you prefer).<br><br><br><br>
DOI: 10.6084/m9.figshare.4668223
title: Sex chromosome dosage compensation in Cydia pomonella

description: Cydia pomonella de novo transcriptome assembly using Trinity, contigs retrieved by reciprocal best hit BLAST with Bombyx mori reference genome.
DOI: 10.6084/m9.figshare.4668223.v1
title: Sex chromosome dosage compensation in Cydia pomonella

description: Cydia pomonella de novo transcriptome assembly using Trinity, contigs retrieved by reciprocal best hit BLAST with Bombyx mori reference genome.
DOI: 10.6084/m9.figshare.4668169
title: R scripts used to evaluate marine archaeal community structure

description: Examples of code and scripts used in R to evaluate the temporal and spatial variability of marine microbial communities is provided. Notes are provided within scripts to help in the understanding of the methods used. Scripts are provided as examples only and likely require modification before they can be used with user data. Please check the documentation of each function and package for detailed information. <br>
DOI: 10.6084/m9.figshare.4668169.v2
title: R scripts used to evaluate marine archaeal community structure

description: Examples of code and scripts used in R to evaluate the temporal and spatial variability of marine microbial communities is provided. Notes are provided within scripts to help in the understanding of the methods used. Scripts are provided as examples only and likely require modification before they can be used with user data. Please check the documentation of each function and package for detailed information. <br>
DOI: 10.6084/m9.figshare.4668139
title: Dataset Files

description: Contains each separate data file for different outcome categories and different regression models. Corresponds to file names in provided R code.
DOI: 10.6084/m9.figshare.4668169.v1
title: R scripts used to evaluate marine archaeal community structure

description: Examples of code and scripts used in R to evaluate the temporal and spatial variability of marine microbial communities is provided. Notes are provided within scripts to help in the understanding of the methods used. Scripts are provided as examples only and likely require modification before they can be used with user data. Please check the documentation of each function and package for detailed information. <br>
DOI: 10.6084/m9.figshare.4667959
title: Detecting RNA base methylations in single cells by in situ hybridization (datasets)

description: All imaging data used to produce the main text figures and supplementary figures, as well as Excel source data for main text figures. Analysis software is available at: https://github.com/kganzinger/Analysis-Software-for-in-situ-hybridization-data-in-single-cells
DOI: 10.6084/m9.figshare.4667932
title: pONmCherry.pdf

description: p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; font: 12.0px Arial} Vector map of plasmid pON.mCherry.Genbank file of pON.mCherry vector