cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6627332.v1
title: Additional file 2: of Whole exome sequencing in the rat

description: Table S2. PCR forward and reverse primer pairs for Sanger sequencing. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.6627326
title: Additional file 1 of Influence of body weight unloading on human gait characteristics: a systematic review

description: Chronological listing of the literature examined in this report, where Y: if the study used randomized trials and NA: nothing is mentioned explicitly about randomization of trials(NA). (XLSX 56.9 kb)
DOI: 10.6084/m9.figshare.6627326.v1
title: Additional file 1 of Influence of body weight unloading on human gait characteristics: a systematic review

description: Chronological listing of the literature examined in this report, where Y: if the study used randomized trials and NA: nothing is mentioned explicitly about randomization of trials(NA). (XLSX 56.9 kb)
DOI: 10.6084/m9.figshare.6627305
title: Additional file 1: of Whole exome sequencing in the rat

description: Table S1. Rat exome-seq 500 flanking bp primer design for validation. (XLSX 20 kb)
DOI: 10.6084/m9.figshare.6627305.v1
title: Additional file 1: of Whole exome sequencing in the rat

description: Table S1. Rat exome-seq 500 flanking bp primer design for validation. (XLSX 20 kb)
DOI: 10.6084/m9.figshare.6627299
title: Additional file 1: of A contextually relevant approach to assessing health risk behavior in a rural sub-Saharan Africa setting: the Kilifi health risk behavior questionnaire

description: A summary of the scaling evaluation, test-retest reliability and behavioral prevalence at baseline (Time 1) and retest (Time 2) for the items in the Kilifi Health Risk Behavior Questionnaire (KRIBE-Q). The data summarizes the utilization of response categories (reported in percentage); the test-retest reliability (represented by Gwetâ s AC1 coefficient); overall prevalence of behavior at baseline (Time1) (reported in percentage); and prevalence of behavior (reported in percentage) for the sub-sample (85) that completed the questionnaire at both phases. The summarized data comprises 60 out of the total 69 items on health behavior in the KRIBE-Q. (XLSX 14Â kb)
DOI: 10.6084/m9.figshare.6627299.v1
title: Additional file 1: of A contextually relevant approach to assessing health risk behavior in a rural sub-Saharan Africa setting: the Kilifi health risk behavior questionnaire

description: A summary of the scaling evaluation, test-retest reliability and behavioral prevalence at baseline (Time 1) and retest (Time 2) for the items in the Kilifi Health Risk Behavior Questionnaire (KRIBE-Q). The data summarizes the utilization of response categories (reported in percentage); the test-retest reliability (represented by Gwetâ s AC1 coefficient); overall prevalence of behavior at baseline (Time1) (reported in percentage); and prevalence of behavior (reported in percentage) for the sub-sample (85) that completed the questionnaire at both phases. The summarized data comprises 60 out of the total 69 items on health behavior in the KRIBE-Q. (XLSX 14Â kb)
DOI: 10.6084/m9.figshare.6626927
title: Droplet-based, high-throughput single cell transcriptional analysis of adult mouse tissue using 10X Genomics' Chromium Single Cell 3' (v2) system: From tissue preparation to bioinformatic analysis

description: The attached R Scripts supplement our protocol paper currently under editorial review at the Journal of Visualized Experiments.<br><b>Scope of the article:</b>This protocol describes the general processes and quality control checks necessary for preparing healthy adult single cells in preparation for droplet-based, high-throughput single cell RNA-Seq analysis using the 10X Genomics' Chromium System. We also describe sequencing parameters, alignment and downstream single-cell bioinformatic analysis.
DOI: 10.6084/m9.figshare.6626927.v1
title: Droplet-based, high-throughput single cell transcriptional analysis of adult mouse tissue using 10X Genomics' Chromium Single Cell 3' (v2) system: From tissue preparation to bioinformatic analysis

description: The attached R Scripts supplement our protocol paper currently under editorial review at the Journal of Visualized Experiments.<br><b>Scope of the article:</b>This protocol describes the general processes and quality control checks necessary for preparing healthy adult single cells in preparation for droplet-based, high-throughput single cell RNA-Seq analysis using the 10X Genomics' Chromium System. We also describe sequencing parameters, alignment and downstream single-cell bioinformatic analysis.
DOI: 10.6084/m9.figshare.6626918
title: metadata for Hermetia illucens (Diptera) wing venation photos

description: This is a data file providing identifying information for the Hermetia illucens (Diptera) wing venation photos. The headers contain the following information:- <b>sex</b>: m/f (male/female)- <b>population</b>: rotorua/lab (Rotorua, New Zealand individuals raised from wild harvested pupae; lab, Auckland, New Zealand, individuals raised in controlled conditions in the lab from eggs collected from the Rotorua inviduals)- <b>iD</b>: a unique numerical value assigned to an individual specimen<br><b>- wingFileName</b>: the image filename that is associated with each individual <br>
DOI: 10.6084/m9.figshare.6626918.v1
title: metadata for Hermetia illucens (Diptera) wing venation photos

description: This is a data file providing identifying information for the Hermetia illucens (Diptera) wing venation photos. The headers contain the following information:- <b>sex</b>: m/f (male/female)- <b>population</b>: rotorua/lab (Rotorua, New Zealand individuals raised from wild harvested pupae; lab, Auckland, New Zealand, individuals raised in controlled conditions in the lab from eggs collected from the Rotorua inviduals)- <b>iD</b>: a unique numerical value assigned to an individual specimen<br><b>- wingFileName</b>: the image filename that is associated with each individual <br>
DOI: 10.6084/m9.figshare.6626858
title: Generated data

description: The uploaded data set is a series of Monte Carlo simulation that generate concentration-response data subject to the Weibull function with stochastic fluctuations. The purpose of this simulation is to compare relative robustness between toxicological endpoints, NOEC and ECx, under manipulated magnitudes of uncertainties (random errors of data deviating the true model).<br>
DOI: 10.6084/m9.figshare.6626858.v1
title: Generated data

description: The uploaded data set is a series of Monte Carlo simulation that generate concentration-response data subject to the Weibull function with stochastic fluctuations. The purpose of this simulation is to compare relative robustness between toxicological endpoints, NOEC and ECx, under manipulated magnitudes of uncertainties (random errors of data deviating the true model).<br>
DOI: 10.6084/m9.figshare.6626855
title: Coastal inundation causal loop diagram

description: Vensim causal loop diagram of the system dynamics of coastal inundation due to sea level rise and its socio-economic effects.<br>
DOI: 10.6084/m9.figshare.6626855.v1
title: Coastal inundation causal loop diagram

description: Vensim causal loop diagram of the system dynamics of coastal inundation due to sea level rise and its socio-economic effects.<br>
DOI: 10.6084/m9.figshare.6626852
title: The evolution of P.mira

description: The sequencing data of two varieties belongs to p.mira
DOI: 10.6084/m9.figshare.6626852.v1
title: The evolution of P.mira

description: The sequencing data of two varieties belongs to p.mira
DOI: 10.6084/m9.figshare.6626837
title: Theoretical ribosomal protein mass fingerprint of Pantoea agglomerans

description: This is a dataset containing the theoretical molecular mass of various ribosomal proteins in the large and small ribosome subunit of <i>Pantoea agglomerans.</i><br><br>
DOI: 10.6084/m9.figshare.6626837.v1
title: Theoretical ribosomal protein mass fingerprint of Pantoea agglomerans

description: This is a dataset containing the theoretical molecular mass of various ribosomal proteins in the large and small ribosome subunit of <i>Pantoea agglomerans.</i><br><br>
DOI: 10.6084/m9.figshare.6626834
title: Theoretical ribosomal protein mass fingerprint of Morganella morganii

description: This is a dataset containing the theoretical molecular mass of various ribosomal proteins in the large and small ribosome subunit of <i>Morganella morganii.</i><br><br>
DOI: 10.6084/m9.figshare.6626834.v1
title: Theoretical ribosomal protein mass fingerprint of Morganella morganii

description: This is a dataset containing the theoretical molecular mass of various ribosomal proteins in the large and small ribosome subunit of <i>Morganella morganii.</i><br><br>
DOI: 10.6084/m9.figshare.6626825
title: Theoretical ribosomal protein mass fingerprint of Listeria welshimeri

description: This is a dataset containing the theoretical molecular mass of various ribosomal proteins in the large and small ribosome subunit of <i>Listeria welshimeri.</i>
DOI: 10.6084/m9.figshare.6626825.v1
title: Theoretical ribosomal protein mass fingerprint of Listeria welshimeri

description: This is a dataset containing the theoretical molecular mass of various ribosomal proteins in the large and small ribosome subunit of <i>Listeria welshimeri.</i>
DOI: 10.6084/m9.figshare.6626807
title: Early Jurassic felsic and associated mafic meta-igneous rocks in Otago Schist, Central Otago, New Zealand

description: Metamorphosed felsic volcanic rocks occur interlayered with metasedimentary schist in close association with a 7 km long metabasaltic (greenschist) horizon in the Otago Schist belt of Central Otago. The felsic metavolcanic rocks are weakly foliated and locally segregated and consist principally of quartz and albite. Geochemical analyses suggest phonolitic compositions and a general within-plate affinity for the felsic metavolcanics rocks, and a MORB/back arc basalt affinity for the associated metabasalts. Zircons from two felsic metavolcanic samples are stubby, sharply faceted, prismatic grains with no visible inherited cores, and are considered to be of primary magmatic origin. Calculated weighted average <sup>206</sup>Pb–<sup>238</sup>U ages for zircons from the two felsic metavolcanic samples are 190.5 ± 0.6 Ma and 190.1 ± 0.3 Ma. We interpret these ages (late Aratauran–early Ururoan; middle Early Jurassic) to date the deposition of the Torlesse Terrane metasediments at that locality, and also possibly the emplacement of the associated metabasalts.
DOI: 10.6084/m9.figshare.6626807.v1
title: Early Jurassic felsic and associated mafic meta-igneous rocks in Otago Schist, Central Otago, New Zealand

description: Metamorphosed felsic volcanic rocks occur interlayered with metasedimentary schist in close association with a 7 km long metabasaltic (greenschist) horizon in the Otago Schist belt of Central Otago. The felsic metavolcanic rocks are weakly foliated and locally segregated and consist principally of quartz and albite. Geochemical analyses suggest phonolitic compositions and a general within-plate affinity for the felsic metavolcanics rocks, and a MORB/back arc basalt affinity for the associated metabasalts. Zircons from two felsic metavolcanic samples are stubby, sharply faceted, prismatic grains with no visible inherited cores, and are considered to be of primary magmatic origin. Calculated weighted average <sup>206</sup>Pb–<sup>238</sup>U ages for zircons from the two felsic metavolcanic samples are 190.5 ± 0.6 Ma and 190.1 ± 0.3 Ma. We interpret these ages (late Aratauran–early Ururoan; middle Early Jurassic) to date the deposition of the Torlesse Terrane metasediments at that locality, and also possibly the emplacement of the associated metabasalts.
DOI: 10.6084/m9.figshare.6626801
title: A novel alpine species of <i>Haematococcus</i> (Chlamydomonadales: Chlorophyta) from New Zealand

description: The unicellular motile green alga <i>Haematococcus lacustris</i> (Chlorophyceae) is an economically important species capable of producing the high value pigment astaxanthin, used widely in aquaculture, pharmaceutical and cosmetic industries. Phylogenetic diversity in this genus is not very well understood even though significant physiological variability between strains has been observed. Understanding diversity can be important from a biotechnology perspective. Here we propose a new species of Chlorophyta, <i>Haematococcus alpinus</i>, isolated from Canyon Creek in the New Zealand alpine zone. This species is distinguished from others by location, number and thickness of cytoplasmic strands. Phylogenetic analysis based on 18S rDNA, ITS rDNA, <i>rbc</i>L genes and comparison of secondary structures of ITS1 showed that our species is distinct with no known close relatives.
DOI: 10.6084/m9.figshare.6626801.v1
title: A novel alpine species of <i>Haematococcus</i> (Chlamydomonadales: Chlorophyta) from New Zealand

description: The unicellular motile green alga <i>Haematococcus lacustris</i> (Chlorophyceae) is an economically important species capable of producing the high value pigment astaxanthin, used widely in aquaculture, pharmaceutical and cosmetic industries. Phylogenetic diversity in this genus is not very well understood even though significant physiological variability between strains has been observed. Understanding diversity can be important from a biotechnology perspective. Here we propose a new species of Chlorophyta, <i>Haematococcus alpinus</i>, isolated from Canyon Creek in the New Zealand alpine zone. This species is distinguished from others by location, number and thickness of cytoplasmic strands. Phylogenetic analysis based on 18S rDNA, ITS rDNA, <i>rbc</i>L genes and comparison of secondary structures of ITS1 showed that our species is distinct with no known close relatives.
DOI: 10.6084/m9.figshare.6626792
title: NODDIDA estimation codes

description: Matlab codes to estimate NODDIDA parameters using population-based prior. The code (fig3a.m) reads data from one pixel of the corpus callosum, creates a sub-dataset with clinically feasible measurements and applies seven estimation methods to estimate NODDIDA model parameters. The methods are described in detail in the manuscript below.<br>Article: Mozumder, M, Pozo, JM, Coelho, S, Frangi, AF. Population‐based Bayesian regularization for microstructural diffusion MRI with NODDIDA. <i>Magn Reson Med</i>. 2019; 00: 1– 13. https://doi.org/10.1002/mrm.27831
DOI: 10.6084/m9.figshare.6626792.v1
title: NODDIDA codes

description: Matlab codes to estimate NODDIDA parameters using population-based prior. The code reads data from one pixel of the corpus callosum, creates a sub-dataset with clinically feasible measurements and applies seven estimation methods to estimate NODDIDA model parameters.
DOI: 10.6084/m9.figshare.6626792.v3
title: NODDIDA estimation codes

description: Matlab codes to estimate NODDIDA parameters using population-based prior. The code (fig3a.m) reads data from one pixel of the corpus callosum, creates a sub-dataset with clinically feasible measurements and applies seven estimation methods to estimate NODDIDA model parameters. The methods are described in detail in the manuscript below.<br>Article: Mozumder, M, Pozo, JM, Coelho, S, Frangi, AF. Population‐based Bayesian regularization for microstructural diffusion MRI with NODDIDA. <i>Magn Reson Med</i>. 2019; 00: 1– 13. https://doi.org/10.1002/mrm.27831
DOI: 10.6084/m9.figshare.6626675
title: GCSP_FamUn_DataArchive.xlsx

description: Data for article in Ecology Letters by Chaine, Shizuka, Block, Zhang, and Lyon entitled "<b>Manipulating badges of status only fools strangers"</b>
DOI: 10.6084/m9.figshare.6626675.v1
title: GCSP_FamUn_DataArchive.xlsx

description: Data for article in Ecology Letters by Chaine, Shizuka, Block, Zhang, and Lyon entitled "<b>Manipulating badges of status only fools strangers"</b>
DOI: 10.6084/m9.figshare.6626666
title: UAS Dynamic.zip

description: EMG, reaching data, and a key to good/bad datasets for directed reaching tasks while the arm is supported, unsupported, and the unaffected limb.
DOI: 10.6084/m9.figshare.6626666.v1
title: UAS Dynamic.zip

description: EMG, reaching data, and a key to good/bad datasets for directed reaching tasks while the arm is supported, unsupported, and the unaffected limb.
DOI: 10.6084/m9.figshare.6626651
title: Appendix 4.3.4: MEME selected site analysis

description: After identification of the selected branch via the aBSREL method, we turned to the MEME method within the HyPhy program (v2.3.11)[235], to identify those sites which may have adaptively evolved. We tested the branch leading to EAncLuc, which was identified as under selection in the aBSREL analysis. A single partition was recovered with 25 sites under episodic diversifying positive selection at p &lt;= 0.1.<br><br>
DOI: 10.6084/m9.figshare.6626651.v1
title: Appendix 4.3.4: MEME selected site analysis

description: After identification of the selected branch via the aBSREL method, we turned to the MEME method within the HyPhy program (v2.3.11)[235], to identify those sites which may have adaptively evolved. We tested the branch leading to EAncLuc, which was identified as under selection in the aBSREL analysis. A single partition was recovered with 25 sites under episodic diversifying positive selection at p &lt;= 0.1.<br><br>
DOI: 10.6084/m9.figshare.6626549.v1
title: Reference dataset for sea ice concentration

description: The RRDP is a set of comma separated ASCII files which contain reference sea ice concentrations and/or other relevant data and co-located NWP data from ERA-Interim, satellite Brightness Temperatures (TBs) extracted from the AMSR-E/AMSR2 swath datasets, ASCAT, QuikSCAT, SMOS and SMAP data to be used to for ice concentration calculations and evaluations. The dataset is easy to use by reading the files line by line, calculate Sea Ice Concentration from the given TBs and compare with the given reference SIC. Please read the included manual for additional information
DOI: 10.6084/m9.figshare.6626549.v2
title: Reference dataset for sea ice concentration

description: The RRDP is a set of comma separated ASCII files which contain reference sea ice concentrations and/or other relevant data and co-located NWP data from ERA-Interim, satellite Brightness Temperatures (TBs) extracted from the AMSR-E/AMSR2 swath datasets, ASCAT, QuikSCAT, SMOS and SMAP data to be used to for ice concentration calculations and evaluations. The dataset is easy to use by reading the files line by line, calculate Sea Ice Concentration from the given TBs and compare with the given reference SIC. Please read the included manual for additional information
DOI: 10.6084/m9.figshare.6626549.v4
title: Reference dataset for sea ice concentration

description: Note that there was a bug in our reading of the accumulated ERA-I fields in the original dataset. For time series analysis (CRREL-IMB and OIB-backtrack), please use the ERAreruns dataset now also available here.<br>The RRDP is a set of comma separated ASCII files which contain reference sea ice concentrations and/or other relevant data and co-located NWP data from ERA-Interim, satellite Brightness Temperatures (TBs) extracted from the AMSR-E/AMSR2 swath datasets, ASCAT, QuikSCAT, SMOS and SMAP data to be used to for ice concentration calculations and evaluations. The dataset is easy to use by reading the files line by line, calculate Sea Ice Concentration from the given TBs and compare with the given reference SIC. Please read the included manual for additional information
DOI: 10.6084/m9.figshare.6626549.v5
title: Reference dataset for sea ice concentration

description: Note that there was a bug in our reading of the accumulated ERA-I fields in the original dataset. For time series analysis (CRREL-IMB and OIB-backtrack), please use the ERAreruns dataset now also available here.In version 2.2 (2019-02-07) of the dataset and manual, this issue has been described and corrected. We recommend that all users use version 2.2. <br>The RRDP is a set of comma separated ASCII files which contain reference sea ice concentrations and/or other relevant data and co-located NWP data from ERA-Interim, satellite Brightness Temperatures (TBs) extracted from the AMSR-E/AMSR2 swath datasets, ASCAT, QuikSCAT, SMOS and SMAP data to be used to for ice concentration calculations and evaluations. The dataset is easy to use by reading the files line by line, calculate Sea Ice Concentration from the given TBs and compare with the given reference SIC. Please read the included manual for additional information
DOI: 10.6084/m9.figshare.6626498
title: Healthcare Provider Interview Transcripts

description: Qualitative interview data collected from nurses and clinical officers in Nairobi (NRB, MDH, TBT), Siaya (SYA), Marsabit (MBT), and Mombasa (MSA), Kenya
DOI: 10.23641/asha.6626222
title: Investigating a nonspeech differentiation task (Small et al., 2018)

description: <b>Purpose: </b>Clinically, a task of alternating tongue lateralization has been used to evaluate the ability to independently control the tongue and jaw, with jaw movement interpreted as a sign of poor tongue–jaw differentiation. However, there is a lack of normative data regarding jaw movement during this task and whether this changes over the course of development. This study quantified relative tongue and jaw movement during alternating tongue lateralization for typical speakers across age ranges and examined whether degree of jaw movement varies as a function of age.<b>Method: </b>Participants were 39 typical children, adolescents, and adults ranging from 6 to 29 years old. A motion capture system was used to track tongue and jaw movement during an alternating tongue lateralization task, and the average relative contribution of the jaw to tongue lateralization was determined for each participant.<b>Results: </b>Age did not correlate significantly with the average relative contribution of the jaw to tongue lateralization. Typical children, adolescents, and adults exhibited wide variability in the degree of jaw movement during this task.<b>Conclusion:</b> Variability among typical speakers in alternating tongue lateralization performance makes it challenging to determine if/when performance should be considered atypical. Clinical findings from this task must be interpreted with caution.<br><b>Supplemental Material S1. </b>Script for kinematic data collection protocol. <br><b>Supplemental Material S2. </b>Data collection procedures: additional details.<br><b>Supplemental Material S3. </b>Criteria for measuring lateralizations from tongue displacement signal.<br><b>Supplemental Material S4. </b>A correlational analysis using the Spearman rank correlation coefficient demonstrated a strong, positive relationship between RCjaw<sub>avg</sub> using jaw displacement<sub>manual</sub> measures and RCjaw<sub>avg</sub> using jaw displacement<sub>timing </sub>measures, which was statistically significant (<i>r</i><sub>s</sub> = .995, <i>n</i> = 23, <i>p</i> &lt; .0005).<br>Small, H. C., McAllister, T., & Grigos, M. I. (2018). Investigating the use of a nonspeech task to measure tongue–jaw differentiation: Findings across typical development. <i>American Journal of Speech-Language Pathology, 27, </i>1030–1038<i>.</i> https://doi.org/10.1044/2018_AJSLP-17-0089<br>