cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17608/k6.auckland.9789446
title: Supplementary Table 7. List of overlapping pathways identified between GS and NMD (MG, MS and ALS) and the eGenes contributing to those pathways.

description: eGenes associated with GS and NMD (MG, MS and ALS) co-occur in the same biological pathways. The dataset contains the overlapping pathways identified between GS and each of the NMD phenotypes (MG, MS and ALS). The information about the list of eGenes contributing to those pathways are also included.
DOI: 10.17608/k6.auckland.9789440
title: Supplementary Table 6. Gene ontology analysis of the eGenes shared between GS and MG, and GS and MS.

description: Results from the gene ontology analysis of 25 eGenes shared between GS and MG and 69 eGenes shared between GS and MS from the immortalized cell line Hi-C dataset. In both analysis, we identified that the eGenes are highly involved in immune system related processes.
DOI: 10.6084/m9.figshare.9789455.v1
title: <i>Cryodrakon boreas</i>, gen. et sp. nov., a Late Cretaceous Canadian azhdarchid pterosaur

description: Azhdarchid pterosaurs have been known since 1972 from upper Campanian deposits of Alberta, Canada. Originally represented by only very fragmentary remains tentatively assigned to the genus <i>Quetzalcoatlus</i>, additional material uncovered over the years has revealed that the taxonomic identity of the Alberta pterosaur material is at odds with this in the light of the growing understanding of azhdarchid diversity. Here, we describe previously undocumented pterosaur remains from Alberta and reassess previously studied material. The specimens collected from the Dinosaur Park Formation can be assigned to a new genus and species <i>Cryodrakon boreas</i>, gen. et sp. nov. The largest elements referable to this taxon suggest that this genus reached sizes comparable to those of other giant azhdarchids.
DOI: 10.17608/k6.auckland.9789425
title: Supplementary Table 5. List of overlapping eGenes identified between GS, MG, MS and ALS

description: Downstream analysis of the CoDeS3D results identified significant number of overlapping eGenes between GS, MG, MS and ALS from both immortalized cell line Hi-C dataset and psoas muscle Hi-C dataset. The list of overlapping eGenes are provided in this dataset.
DOI: 10.17608/k6.auckland.9789416
title: Supplementary Table 4. Summary statistics of the significant eQTLs from CoDeS3D run performed with GS, MG, MS and ALS SNPs on Psoas muscle Hi-C dataset.

description: CoDeS3D analysis of the SNPs associated with GS, MG, MS and ALS identified statistically significant eQTLs from psoas muscle Hi-C dataset. This dataset contains summary statistics of the results from CoDeS3D analysis on GS, MG, MS and ALS SNPs.
DOI: 10.17608/k6.auckland.9789446.v1
title: Supplementary Table 7. List of overlapping pathways identified between GS and NMD (MG, MS and ALS) and the eGenes contributing to those pathways.

description: eGenes associated with GS and NMD (MG, MS and ALS) co-occur in the same biological pathways. The dataset contains the overlapping pathways identified between GS and each of the NMD phenotypes (MG, MS and ALS). The information about the list of eGenes contributing to those pathways are also included.
DOI: 10.17608/k6.auckland.9789425.v1
title: Supplementary Table 5. List of overlapping eGenes identified between GS, MG, MS and ALS

description: Downstream analysis of the CoDeS3D results identified significant number of overlapping eGenes between GS, MG, MS and ALS from both immortalized cell line Hi-C dataset and psoas muscle Hi-C dataset. The list of overlapping eGenes are provided in this dataset.
DOI: 10.17608/k6.auckland.9789416.v1
title: Supplementary Table 4. Summary statistics of the significant eQTLs from CoDeS3D run performed with GS, MG, MS and ALS SNPs on Psoas muscle Hi-C dataset.

description: CoDeS3D analysis of the SNPs associated with GS, MG, MS and ALS identified statistically significant eQTLs from psoas muscle Hi-C dataset. This dataset contains summary statistics of the results from CoDeS3D analysis on GS, MG, MS and ALS SNPs.
DOI: 10.17608/k6.auckland.9789440.v2
title: Supplementary Table 6. Gene ontology analysis of the eGenes shared between GS and MG, and GS and MS.

description: Results from the gene ontology analysis of 25 eGenes shared between GS and MG and 69 eGenes shared between GS and MS from the immortalized cell line Hi-C dataset. In both analysis, we identified that the eGenes are highly involved in immune system related processes.
DOI: 10.17608/k6.auckland.9789440.v1
title: Supplementary Table 6. Gene ontology analysis of the eGenes shared between GS and MG and, GS and MS.

description: Results from the gene ontology analysis of 25 eGenes shared between GS and MG and 69 eGenes shared between GS and MS from the immortalized cell line Hi-C dataset. In both analysis, we identified that the eGenes are highly involved in immune system related processes.
DOI: 10.6084/m9.figshare.9789326
title: New U–Pb zircon ages for the Glenroy Complex and McKnee Intrusives, southeast Nelson: strengthening links with northern Fiordland and constraining the timing of metamorphism

description: The Glenroy Complex and McKnee Intrusives, southeast Nelson, have previously been correlated with similar rocks in northern Fiordland: the Worsley Pluton of the Western Fiordland Orthogneiss and George Sound Paragneiss, and Mistake Diorite and Darran Leucogabbro, respectively. Two samples of the Glenroy Complex (Woodham Orthogneiss) and one from the McKnee Intrusives yielded laser ablation inductively-coupled plasma mass spectrometry (LA–ICP–MS) U–Pb zircon ages of 123.7 ± 1.4 and 121.9 ± 1.1 Ma, and 138.8 ± 1.3 Ma, respectively. These new ages fall within the ranges previously published for the Glenroy Complex, McKnee Intrusives and their northern Fiordland counterparts and, thus, provide further evidence for their correlation. An age of 116.3 ± 2.4 Ma was also determined for a post-metamorphic pegmatite–aplite dike, constraining metamorphism of the Woodham Orthogneiss to within 2.0–9.0 Ma following magmatic crystallisation. The time gap between crystallisation and metamorphism is similar to that of the Worsley Pluton (3.7–8.9 Ma), lending additional support for their direct correlation.
DOI: 10.6084/m9.figshare.9789323
title: woa2013v2-O2-thermocline-ann.nc

description: For NCAR Python Tutorial
DOI: 10.6084/m9.figshare.9789326.v1
title: New U–Pb zircon ages for the Glenroy Complex and McKnee Intrusives, southeast Nelson: strengthening links with northern Fiordland and constraining the timing of metamorphism

description: The Glenroy Complex and McKnee Intrusives, southeast Nelson, have previously been correlated with similar rocks in northern Fiordland: the Worsley Pluton of the Western Fiordland Orthogneiss and George Sound Paragneiss, and Mistake Diorite and Darran Leucogabbro, respectively. Two samples of the Glenroy Complex (Woodham Orthogneiss) and one from the McKnee Intrusives yielded laser ablation inductively-coupled plasma mass spectrometry (LA–ICP–MS) U–Pb zircon ages of 123.7 ± 1.4 and 121.9 ± 1.1 Ma, and 138.8 ± 1.3 Ma, respectively. These new ages fall within the ranges previously published for the Glenroy Complex, McKnee Intrusives and their northern Fiordland counterparts and, thus, provide further evidence for their correlation. An age of 116.3 ± 2.4 Ma was also determined for a post-metamorphic pegmatite–aplite dike, constraining metamorphism of the Woodham Orthogneiss to within 2.0–9.0 Ma following magmatic crystallisation. The time gap between crystallisation and metamorphism is similar to that of the Worsley Pluton (3.7–8.9 Ma), lending additional support for their direct correlation.
DOI: 10.17608/k6.auckland.9789314
title: Supplementary Table 3. Summary statistics of the significant eQTLs from CoDeS3D run performed with GS, MG, MS and ALS SNPs on Immortalized cell lines (GM12878, IMR90, HMEC, NHEK, K562, HUVEC, HeLa and KBM7)

description: CoDeS3D analysis of the SNPs associated with GS, MG, MS and ALS identified statistically significant eQTLs from eight immortalized cell lines Hi-C dataset. This dataset contains summary statistics of the results from CoDeS3D analysis on GS, MG, MS and ALS SNPs.
DOI: 10.6084/m9.figshare.9789323.v1
title: woa2013v2-O2-thermocline-ann.nc

description: For NCAR Python Tutorial
DOI: 10.17608/k6.auckland.9789299
title: Supplementary Table 2. List of all Hi-C datasets used in this study and their details

description: Collection of Hi-C dataset used in this study and their reference to original article and GEO accession.
DOI: 10.17608/k6.auckland.9789314.v2
title: Supplementary Table 3. Summary statistics of the significant eQTLs from CoDeS3D run performed with GS, MG, MS and ALS SNPs on Immortalized cell lines (GM12878, IMR90, HMEC, NHEK, K562, HUVEC, HeLa and KBM7)

description: CoDeS3D analysis of the SNPs associated with GS, MG, MS and ALS identified statistically significant eQTLs from eight immortalized cell lines Hi-C dataset. This dataset contains summary statistics of the results from CoDeS3D analysis on GS, MG, MS and ALS SNPs.
DOI: 10.17608/k6.auckland.9789299.v1
title: Supplementary Table 2. Details about the GS associated SNPs data

description: All the GWAS studies from which the data of grip strength associated SNPs were taken and used for the study. It also has some additional details about the samples.
DOI: 10.17608/k6.auckland.9789314.v1
title: Supplementary Table 3. Summary statistics of significant eQTLs from CoDeS3D run performed with GS, MG, MS and ALS SNPs on Immortalized cell lines (GM12878, IMR90, HMEC, NHEK, K562, HUVEC, HeLa and KBM7)

description: CoDeS3D analysis of the SNPs associated with GS, MG, MS and ALS identified statistically significant eQTLs for each of the phenotypes. This dataset contains summary statistics of the results from CoDeS3D analysis for GS, MG, MS and ALS SNPs.
DOI: 10.17608/k6.auckland.9789299.v3
title: Supplementary Table 2. List of all Hi-C datasets used in this study and their details

description: Collection of Hi-C dataset used in this study and their reference to original article and GEO accession.
DOI: 10.17608/k6.auckland.9789299.v2
title: Supplementary Table 2. Details on GWAS data used in the study

description: The dataset contain GWAS statistics on GS, MG, MS and ALS associated SNPs used in the study.
DOI: 10.17608/k6.auckland.9789269
title: Supplementary Table 1. Details on GWAS data used in the study

description: The dataset contain GWAS statistics on GS, MG, MS and ALS associated SNPs used in the study.
DOI: 10.17608/k6.auckland.9789269.v1
title: List of all Hi-C datasets used in this study and their details

description: Collection of Hi-C dataset used in this study and their reference to original article and GEO accession
DOI: 10.6084/m9.figshare.9789251
title: LDD PVDF in vivo test.xlsx

description: the raw data for test the lymphatic drainage device with different type of membrane <i>in vitro</i>.
DOI: 10.17608/k6.auckland.9789269.v2
title: Supplementary Table 1. List of all Hi-C datasets used in this study and their details

description: Collection of Hi-C dataset used in this study and their reference to original article and GEO accession
DOI: 10.17608/k6.auckland.9789269.v4
title: Supplementary Table 1. Details on GWAS data used in the study

description: The dataset contain GWAS statistics on GS, MG, MS and ALS associated SNPs used in the study.
DOI: 10.23641/asha.9789041
title: Age at implantation, vocabulary, and grammar (Duchesne & Marschark, 2019)

description: <b>Purpose:</b> The increasing prevalence of pediatric cochlear implantation over the past 25 years has left little doubt that resulting improvements in hearing offer significant benefits to language development for many deaf children. Furthermore, given the documented importance of access to language from birth, there has been strong support for providing congenitally deaf children with implants as early as possible. Earliest implantation, in many ways, has become the “gold standard” in pediatric cochlear implantation, on the assumption that it is the key to language development similar to that of hearing children. Empirical evidence to support this assumption, however, appears more equivocal than generally is believed. This article reviews recent research aimed at assessing the impact of age at implantation on vocabulary and grammatical development among young implant users.<b>Method: </b>Articles published between 2003 and 2018 that included age at implantation as a variable of interest and in which it was subjected to statistical analysis were considered. Effect sizes were calculated whenever possible; we conducted a multivariate meta-analysis to compare outcomes in different language domains.<b>Results: </b>Taken together, findings from 49 studies suggest that age at implantation is just one of a host of variables that influence vocabulary and grammatical development, its impact varying with several factors including whether age at implantation is treated as a dichotomous or continuous variable. Results from a meta-analysis showed significant differences across language domains.<b>Conclusion:</b> The pattern of results obtained indicates the importance of considering various child, family, and environmental characteristics in future research aimed at determining how early “early implantation” needs to be and the extent to which age at implantation, duration of implant use, and other factors influence language and language-related outcomes.<br><b>Supplemental Material S1.</b> Effects of age at implantation and language achievement with age as a discrete variable (age groups): Information provided by authors for cochlear implant (CI) users and calculated effect sizes (NC = not calculable from information provided).<br><b>Supplemental Material S2.</b> Effects of age at implantation and language achievement with age as a continuous variable: Information provided by authors for cochlear implant (CI) users and calculated effect sizes (NC = not calculable from information provided).<br><b>Supplemental Material S3.</b> Additional studies that reported associations between age at cochlear implantation (CI) and language (effect of age at CI was not the main goal of the study).<br>Duchesne, L., & Marschark, M. (2019). Effects of age at cochlear implantation on vocabulary and grammar: A review of the evidence. <i>American Journal of Speech-Language Pathology</i><i>, </i><i>28</i>(4), 1673–1691. https://doi.org/10.1044/2019_AJSLP-18-0161
DOI: 10.23641/asha.9789041.v1
title: Age at implantation, vocabulary, and grammar (Duchesne & Marschark, 2019)

description: <b>Purpose:</b> The increasing prevalence of pediatric cochlear implantation over the past 25 years has left little doubt that resulting improvements in hearing offer significant benefits to language development for many deaf children. Furthermore, given the documented importance of access to language from birth, there has been strong support for providing congenitally deaf children with implants as early as possible. Earliest implantation, in many ways, has become the “gold standard” in pediatric cochlear implantation, on the assumption that it is the key to language development similar to that of hearing children. Empirical evidence to support this assumption, however, appears more equivocal than generally is believed. This article reviews recent research aimed at assessing the impact of age at implantation on vocabulary and grammatical development among young implant users.<b>Method: </b>Articles published between 2003 and 2018 that included age at implantation as a variable of interest and in which it was subjected to statistical analysis were considered. Effect sizes were calculated whenever possible; we conducted a multivariate meta-analysis to compare outcomes in different language domains.<b>Results: </b>Taken together, findings from 49 studies suggest that age at implantation is just one of a host of variables that influence vocabulary and grammatical development, its impact varying with several factors including whether age at implantation is treated as a dichotomous or continuous variable. Results from a meta-analysis showed significant differences across language domains.<b>Conclusion:</b> The pattern of results obtained indicates the importance of considering various child, family, and environmental characteristics in future research aimed at determining how early “early implantation” needs to be and the extent to which age at implantation, duration of implant use, and other factors influence language and language-related outcomes.<br><b>Supplemental Material S1.</b> Effects of age at implantation and language achievement with age as a discrete variable (age groups): Information provided by authors for cochlear implant (CI) users and calculated effect sizes (NC = not calculable from information provided).<br><b>Supplemental Material S2.</b> Effects of age at implantation and language achievement with age as a continuous variable: Information provided by authors for cochlear implant (CI) users and calculated effect sizes (NC = not calculable from information provided).<br><b>Supplemental Material S3.</b> Additional studies that reported associations between age at cochlear implantation (CI) and language (effect of age at CI was not the main goal of the study).<br>Duchesne, L., & Marschark, M. (2019). Effects of age at cochlear implantation on vocabulary and grammar: A review of the evidence. <i>American Journal of Speech-Language Pathology</i><i>, </i><i>28</i>(4), 1673–1691. https://doi.org/10.1044/2019_AJSLP-18-0161
DOI: 10.17608/k6.auckland.9789269.v3
title: Supplementary Table 1. List of all Hi-C datasets used in this study and their details

description: Collection of Hi-C dataset used in this study and their reference to original article and GEO accession
DOI: 10.6084/m9.figshare.9788927
title: Transcriptome raw data of Pseudotaxus chienii

description: Transcriptome data of <i>Pseudotaxus chienii </i>generated by Illumina sequencing.
DOI: 10.6084/m9.figshare.9788903
title: Raw database and statistical analysis results-STOP-Bang questionnaire should be used in all adults with Down Syndrome to screen for moderate to severe obstructive sleep apnea (OSA)

description: The files represent the raw data collected in this research and the results of the statistical analysis performed.
DOI: 10.6084/m9.figshare.9788714
title: Açaí inclusion experiment in fish Colossoma macropomum juveniles

description: Dataset of experiments performed on fish <i>Colossoma macropomum</i> juveniles fed with different levels of açaí (<i>Euterpe olaracea</i>) pulp fruit.
DOI: 10.6084/m9.figshare.9788714.v1
title: Açaí inclusion experiment in fish Colossoma macropomum titled Item

description: Dataset of experiments performed on fish <i>Colossoma macropomum</i> juveniles fed with different levels of açaí (<i>Euterpe olaracea</i>) pulp fruit.
DOI: 10.6084/m9.figshare.9788324
title: Individual users' report

description: The content in this report is related to a study aimed at the investigation of the level of agreement between memory-based and moment-based UX methods.
DOI: 10.6084/m9.figshare.9788333
title: University of Mississippi Field Station weather data

description: Temperature and rainfall data from the University of Mississippi Field Station. Temperature data start on 6 December 2016 and rainfall data start on 22 October 2016. Both rainfall and temperature data end on 21 August 2019, with a gap in rainfall data from 19 March 2019 until 23 July 2019. <br>
DOI: 10.6084/m9.figshare.9788324.v2
title: Individual users' report

description: The content in this report is related to a study aimed at the investigation of the level of agreement between memory-based and moment-based UX methods.
DOI: 10.6084/m9.figshare.9788324.v1
title: Individual users' report

description: The content in this report is related to a study aimed at the investigation of the level of agreement between memory-based and moment-based UX methods.
DOI: 10.6084/m9.figshare.9788117
title: Table 2. Model fitting of ex vivo drug release profiles after a 6-h exposure of ACV- and CTM-loaded 12-HSA-based organogels using Franz diffusion cells

description: Model fitting of ex vivo drug release profiles after a 6-h exposure of ACV- and CTM-loaded 12-HSA-based organogels using Franz diffusion cells
DOI: 10.6084/m9.figshare.9788120
title: Table 2. Model fitting of in vitro drug release profiles after a 6-h exposure of ACV- and CTM-loaded 12-HSA-based organogels using Franz diffusion cells

description: Model fitting of in vitro drug release profiles after a 6-h exposure of ACV- and CTM-loaded 12-HSA-based organogels using Franz diffusion cells
DOI: 10.6084/m9.figshare.9788114
title: Figures 9 and S4- Cytotoxicity experiments_12-HSA and 12-HSA T80_raw data & stats

description: Cytotoxicity experiments for 12-HSA and 12-HSA T80 organoogels<br>
DOI: 10.6084/m9.figshare.9788120.v1
title: Table 2. Model fitting of in vitro drug release profiles after a 6-h exposure of ACV- and CTM-loaded 12-HSA-based organogels using Franz diffusion cells

description: Model fitting of in vitro drug release profiles after a 6-h exposure of ACV- and CTM-loaded 12-HSA-based organogels using Franz diffusion cells
DOI: 10.6084/m9.figshare.9788105
title: Hiss Diffusion Matrices

description: Hiss diffusion matrices built by Qianli Ma at UCLA. The matrices contain the bounce-averaged diffusion coefficients for electron scattering due to interactions with hiss waves. The diffusion coefficients were calculated for the Geospace Environment Modeling (GEM) Quantitative Assessment of Radiation Belt Modeling (QARBM) focus group.
DOI: 10.6084/m9.figshare.9788111
title: Fig. S3. Influence of incubation time of the MTS reactive on cell proliferation absorbances_stat

description: Statistical analysis of the influence of incubation time of the MTS reactant on cell proliferation absorbances. HFF cells<br>
DOI: 10.6084/m9.figshare.9788117.v1
title: Table 2. Model fitting of ex vivo drug release profiles after a 6-h exposure of ACV- and CTM-loaded 12-HSA-based organogels using Franz diffusion cells

description: Model fitting of ex vivo drug release profiles after a 6-h exposure of ACV- and CTM-loaded 12-HSA-based organogels using Franz diffusion cells
DOI: 10.6084/m9.figshare.9788024
title: Fig 8 Drug permeation_stat

description: Statistical analysis of drug permeation experiments of 12-HSA and 12-HSA T80 organogels<br>
DOI: 10.6084/m9.figshare.9788111.v1
title: Fig. S3. Influence of incubation time of the MTS reactive on cell proliferation absorbances_stat

description: Statistical analysis of the influence of incubation time of the MTS reactant on cell proliferation absorbances. HFF cells<br>
DOI: 10.6084/m9.figshare.9788114.v1
title: Figures 9 and S4- Cytotoxicity experiments_12-HSA and 12-HSA T80_raw data & stats

description: Cytotoxicity experiments for 12-HSA and 12-HSA T80 organoogels<br>
DOI: 10.6084/m9.figshare.9788021
title: Fig 8 drug release_stat

description: Statistical analysis of drug release experiments from 12-HSA and 12-HSA T80 organogels
DOI: 10.6084/m9.figshare.9788105.v1
title: Hiss Diffusion Matrices

description: Hiss diffusion matrices built by Qianli Ma at UCLA. The matrices contain the bounce-averaged diffusion coefficients for electron scattering due to interactions with hiss waves. The diffusion coefficients were calculated for the Geospace Environment Modeling (GEM) Quantitative Assessment of Radiation Belt Modeling (QARBM) focus group.
DOI: 10.6084/m9.figshare.9788000
title: Fig 9- Cytotoxicity experiments_12-HSA and 12-HSA T80_raw data

description: Cytotoxicity experiments for 12-HSA and 12-HSA T80 organogels on HFF cells, 2D and 3D experiments<br>
DOI: 10.6084/m9.figshare.9788015
title: Fig 7 diffusion experiments_stat

description: Statistical analysis of diffusion experiments of 12-HSA and 12-HSA T80 organogels loaded with drugs<br>
DOI: 10.6084/m9.figshare.9788021.v1
title: Fig 8 drug release_stat

description: Statistical analysis of drug release experiments from 12-HSA and 12-HSA T80 organogels
DOI: 10.6084/m9.figshare.9788024.v1
title: Fig 8 Drug permeation_stat

description: Statistical analysis of drug permeation experiments of 12-HSA and 12-HSA T80 organogels<br>