cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34740/kaggle/dsv/2943627
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.5281/zenodo.5791497
title: SHAPE datasets from manuscript: Modulation of pre-mRNA structure by hnRNP proteins regulates alternative splicing of MALT1

description: Normalized SHAPE reactivity for the MALT1 M1 minigene RNA constructs (wildtype, variant 1, and variant 2) reported in the manuscript titled 'Modulation of pre-mRNA structure by hnRNP proteins regulates alternative splicing of <em>MALT1'</em> .
DOI: 10.5281/zenodo.5791496
title: SHAPE datasets from manuscript: Modulation of pre-mRNA structure by hnRNP proteins regulates alternative splicing of MALT1

description: Normalized SHAPE reactivity for the MALT1 M1 minigene RNA constructs (wildtype, variant 1, and variant 2) reported in the manuscript titled 'Modulation of pre-mRNA structure by hnRNP proteins regulates alternative splicing of <em>MALT1'</em> .
DOI: 10.21415/t5dg78
title: CHILDES Frogs English Slobin Corpus
DOI: 10.3886/e157861
title: MUSIC Model of Motivation in 30 College Courses - 2022

description: Student evaluations of teaching (SETs) are important at most colleges and universities. One purpose of this study was to determine the extent to which motivational climate was associated with SETs. Another purpose was to determine whether course ease was associated with SETs. Participants included 2,949 undergraduate students from 30 courses at a large public university. Using hierarchical linear modeling, we examined the extent to which students’ motivation-related course perceptions (empowerment/autonomy, usefulness, success expectancies, situational interest, and caring) related to SETs at the student and class level. SETs were highly associated with motivational climate. Furthermore, easier courses were rated lower by students when controlling for motivational climate and the demographical composition of the class. These findings highlight the association between the motivational climate and SETs and suggest that one way to improve SETs may be for instructors to focus on improving the motivational climate rather than making the course easier. For more details, see this article: Jones, B. D., Miyazaki, Y., Li, M., & Biscotte, S. (2022). Motivational climate predicts student evaluations of teaching: Relationships between students’ course perceptions, ease of course, and evaluations of teaching. AERA Open. Jones, B. D., Miyazaki, Y., Li, M., & Biscotte, S. (2022). Motivational climate predicts student evaluations of teaching: Relationships between students’ course perceptions, ease of course, and evaluations of teaching. AERA Open.
description: n/a
description: Response Rates: see Jones, B. D., Miyazaki, Y., Li, M., & Biscotte, S. (2022). Motivational climate predicts student evaluations of teaching: Relationships between students’ course perceptions, ease of course, and evaluations of teaching. AERA Open.
description: Presence of Common Scales: MUSIC® Model of Academic Motivation Inventory (Jones, 2012/2020)<br>Instructor rating (Jones, 2010)<br>Course rating (Jones, 2010)<br>Ease of Course scale (Jones et al., 2021)<br><br>References<br>Jones, B. D. (2010). An examination of motivation model components in face-to-face and online instruction. Electronic Journal of Research in Educational Psychology, 8(3), 915-944. <br> Jones, B. D. (2012/2020). User guide for assessing the components of the MUSIC® Model of Motivation. http://www.theMUSICmodel.com <br> Jones, B. D., Krost, K., & Jones, M. W. (2021). Relationships between students’ course perceptions, effort, and achievement in an online course. Computers and Education Open, 2, Article 100051. https://doi.org/10.1016/j.caeo.2021.100051
description: see Jones, B. D., Miyazaki, Y., Li, M., & Biscotte, S. (2022). Motivational climate predicts student evaluations of teaching: Relationships between students’ course perceptions, ease of course, and evaluations of teaching. AERA Open.
description: web-based survey;
DOI: 10.3886/e157861v1
title: MUSIC Model of Motivation in 30 College Courses - 2022

description: Student evaluations of teaching (SETs) are important at most colleges and universities. One purpose of this study was to determine the extent to which motivational climate was associated with SETs. Another purpose was to determine whether course ease was associated with SETs. Participants included 2,949 undergraduate students from 30 courses at a large public university. Using hierarchical linear modeling, we examined the extent to which students’ motivation-related course perceptions (empowerment/autonomy, usefulness, success expectancies, situational interest, and caring) related to SETs at the student and class level. SETs were highly associated with motivational climate. Furthermore, easier courses were rated lower by students when controlling for motivational climate and the demographical composition of the class. These findings highlight the association between the motivational climate and SETs and suggest that one way to improve SETs may be for instructors to focus on improving the motivational climate rather than making the course easier. For more details, see this article: Jones, B. D., Miyazaki, Y., Li, M., & Biscotte, S. (2022). Motivational climate predicts student evaluations of teaching: Relationships between students’ course perceptions, ease of course, and evaluations of teaching. AERA Open. Jones, B. D., Miyazaki, Y., Li, M., & Biscotte, S. (2022). Motivational climate predicts student evaluations of teaching: Relationships between students’ course perceptions, ease of course, and evaluations of teaching. AERA Open.
description: n/a
description: Response Rates: see Jones, B. D., Miyazaki, Y., Li, M., & Biscotte, S. (2022). Motivational climate predicts student evaluations of teaching: Relationships between students’ course perceptions, ease of course, and evaluations of teaching. AERA Open.
description: Presence of Common Scales: MUSIC® Model of Academic Motivation Inventory (Jones, 2012/2020)<br>Instructor rating (Jones, 2010)<br>Course rating (Jones, 2010)<br>Ease of Course scale (Jones et al., 2021)<br><br>References<br>Jones, B. D. (2010). An examination of motivation model components in face-to-face and online instruction. Electronic Journal of Research in Educational Psychology, 8(3), 915-944. <br> Jones, B. D. (2012/2020). User guide for assessing the components of the MUSIC® Model of Motivation. http://www.theMUSICmodel.com <br> Jones, B. D., Krost, K., & Jones, M. W. (2021). Relationships between students’ course perceptions, effort, and achievement in an online course. Computers and Education Open, 2, Article 100051. https://doi.org/10.1016/j.caeo.2021.100051
description: see Jones, B. D., Miyazaki, Y., Li, M., & Biscotte, S. (2022). Motivational climate predicts student evaluations of teaching: Relationships between students’ course perceptions, ease of course, and evaluations of teaching. AERA Open.
description: web-based survey;
DOI: 10.5281/zenodo.5791525
title: TEST

description: TEST
DOI: 10.5281/zenodo.5791524
title: TEST

description: TEST
DOI: 10.5519/qd.6n7zoiii
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.17283984
title: Additional file 1 of Genomic regions and candidate genes linked with Phytophthora capsici root rot resistance in chile pepper (Capsicum annuum L.)

description: Additional file 1: Table S1. Analysis of variance for average disease severity ratings for Phytophthora capsici resistance for the New Mexico RIL population. Table S2. Genetic and physical positions of the 1,973 SNP markers used for the construction of genetic linkage map. Table S3. Candidate genes and their potential biological functions for QTL related with P. capsici resistance in chile pepper.
DOI: 10.6084/m9.figshare.17283984.v1
title: Additional file 1 of Genomic regions and candidate genes linked with Phytophthora capsici root rot resistance in chile pepper (Capsicum annuum L.)

description: Additional file 1: Table S1. Analysis of variance for average disease severity ratings for Phytophthora capsici resistance for the New Mexico RIL population. Table S2. Genetic and physical positions of the 1,973 SNP markers used for the construction of genetic linkage map. Table S3. Candidate genes and their potential biological functions for QTL related with P. capsici resistance in chile pepper.
DOI: 10.6084/m9.figshare.17283996
title: Additional file 2 of Comprehensive epigenomic profiling of human alveolar epithelial differentiation identifies key epigenetic states and transcription factor co-regulatory networks for maintenance of distal lung identity

description: Additional file 2: Supplementary Table S1. AT1 cell enriched markers across consortia. Genes significantly expressed in AT1 cells from the 2D AEC differentiation model (D0 vs D6, yellow), IPF Cell Atlas (blue), Molecular Atlas of Human Lung (purple), and control treatment AT1 scRNAseq from mouse (orange).
DOI: 10.6084/m9.figshare.17283999.v1
title: Additional file 3 of Comprehensive epigenomic profiling of human alveolar epithelial differentiation identifies key epigenetic states and transcription factor co-regulatory networks for maintenance of distal lung identity

description: Additional file 3: Supplementary Table S2. Enhancer-gene pairs linked in GTEx. Enhancer gene pairs are displayed as the enhancer specific for either “AT2” or “AT-like” cells, alongside the coordinates of the enhancer, the identifier (rsID) of the SNP, the gene name, and the significance of the interaction between the SNP and gene in GTEx.
DOI: 10.6084/m9.figshare.17283996.v1
title: Additional file 2 of Comprehensive epigenomic profiling of human alveolar epithelial differentiation identifies key epigenetic states and transcription factor co-regulatory networks for maintenance of distal lung identity

description: Additional file 2: Supplementary Table S1. AT1 cell enriched markers across consortia. Genes significantly expressed in AT1 cells from the 2D AEC differentiation model (D0 vs D6, yellow), IPF Cell Atlas (blue), Molecular Atlas of Human Lung (purple), and control treatment AT1 scRNAseq from mouse (orange).
DOI: 10.6084/m9.figshare.17284002
title: Additional file 4 of Comprehensive epigenomic profiling of human alveolar epithelial differentiation identifies key epigenetic states and transcription factor co-regulatory networks for maintenance of distal lung identity

description: Additional file 4: Supplementary Table S3. GTEX-annotated enhancer-gene pairs showed differential expression in AEC differentiation. 19 enhancer-gene pairs showed significant differential gene expression during AEC differentiation with log fold change (LogFC) greater than 2.
DOI: 10.6084/m9.figshare.17284002.v1
title: Additional file 4 of Comprehensive epigenomic profiling of human alveolar epithelial differentiation identifies key epigenetic states and transcription factor co-regulatory networks for maintenance of distal lung identity

description: Additional file 4: Supplementary Table S3. GTEX-annotated enhancer-gene pairs showed differential expression in AEC differentiation. 19 enhancer-gene pairs showed significant differential gene expression during AEC differentiation with log fold change (LogFC) greater than 2.
DOI: 10.6084/m9.figshare.17283999
title: Additional file 3 of Comprehensive epigenomic profiling of human alveolar epithelial differentiation identifies key epigenetic states and transcription factor co-regulatory networks for maintenance of distal lung identity

description: Additional file 3: Supplementary Table S2. Enhancer-gene pairs linked in GTEx. Enhancer gene pairs are displayed as the enhancer specific for either “AT2” or “AT-like” cells, alongside the coordinates of the enhancer, the identifier (rsID) of the SNP, the gene name, and the significance of the interaction between the SNP and gene in GTEx.
DOI: 10.6084/m9.figshare.17284007
title: Additional file 2 of Identifying the most effective behavioural assays and predator cues for quantifying anti-predator responses in mammals: a systematic review protocol

description: Additional file 2. CEE critical appraisal tool sheet.
DOI: 10.6084/m9.figshare.17284007.v1
title: Additional file 2 of Identifying the most effective behavioural assays and predator cues for quantifying anti-predator responses in mammals: a systematic review protocol

description: Additional file 2. CEE critical appraisal tool sheet.
DOI: 10.6084/m9.figshare.17284010
title: Additional file 3 of Identifying the most effective behavioural assays and predator cues for quantifying anti-predator responses in mammals: a systematic review protocol

description: Additional file 3. Customised data collection sheet.
DOI: 10.6084/m9.figshare.17284010.v1
title: Additional file 3 of Identifying the most effective behavioural assays and predator cues for quantifying anti-predator responses in mammals: a systematic review protocol

description: Additional file 3. Customised data collection sheet.
DOI: 10.6084/m9.figshare.17284013
title: Additional file 4 of Identifying the most effective behavioural assays and predator cues for quantifying anti-predator responses in mammals: a systematic review protocol

description: Additional file 4. ROSES checklist.
DOI: 10.6084/m9.figshare.17284013.v1
title: Additional file 4 of Identifying the most effective behavioural assays and predator cues for quantifying anti-predator responses in mammals: a systematic review protocol

description: Additional file 4. ROSES checklist.
DOI: 10.6084/m9.figshare.17284026.v1
title: Additional file 1 of Prioritising positively selected variants in whole-genome sequencing data using FineMAV

description: Additional file 1. Source code for the FineMAV program.
DOI: 10.6084/m9.figshare.17284029
title: Additional file 2 of Prioritising positively selected variants in whole-genome sequencing data using FineMAV

description: Additional file 2. Table containing the top 50 FineMAV candidates from the Han Chinese (90HC), Singaporean Indian (SSIP) and Singaporean Malay (SSMP) populations.
DOI: 10.6084/m9.figshare.17284029.v1
title: Additional file 2 of Prioritising positively selected variants in whole-genome sequencing data using FineMAV

description: Additional file 2. Table containing the top 50 FineMAV candidates from the Han Chinese (90HC), Singaporean Indian (SSIP) and Singaporean Malay (SSMP) populations.
DOI: 10.6084/m9.figshare.17284026
title: Additional file 1 of Prioritising positively selected variants in whole-genome sequencing data using FineMAV

description: Additional file 1. Source code for the FineMAV program.
DOI: 10.6084/m9.figshare.17284049
title: Additional file 4 of Sex differences in children's health status as measured by the Pediatric Quality of Life Inventory (PedsQL)™: cross-sectional findings from a large school-based sample in the Netherlands

description: Additional file 4: Table S1. Multivariable linear regression analyses showing significant predictors of the PedsQL scales; parent proxy-reports per age category Table S2. Multivariable linear regression analyses showing significant predictors of the PedsQL scales; child self-reports per age category.
DOI: 10.6084/m9.figshare.17284049.v1
title: Additional file 4 of Sex differences in children's health status as measured by the Pediatric Quality of Life Inventory (PedsQL)™: cross-sectional findings from a large school-based sample in the Netherlands

description: Additional file 4: Table S1. Multivariable linear regression analyses showing significant predictors of the PedsQL scales; parent proxy-reports per age category Table S2. Multivariable linear regression analyses showing significant predictors of the PedsQL scales; child self-reports per age category.
DOI: 10.6084/m9.figshare.17284064.v1
title: Additional file 1 of Salivary cystatin S levels in children with early childhood caries in comparison with caries-free children; statistical analysis and machine learning

description: Additional file 1. Regression analyses (backward stepwise method) for modeling and early diagnosis of ECC risk based on risk factors.
DOI: 10.6084/m9.figshare.17284064
title: Additional file 1 of Salivary cystatin S levels in children with early childhood caries in comparison with caries-free children; statistical analysis and machine learning

description: Additional file 1. Regression analyses (backward stepwise method) for modeling and early diagnosis of ECC risk based on risk factors.
DOI: 10.6084/m9.figshare.17284085.v1
title: Additional file 4 of Tandem mass tag (TMT)-based proteomic analysis of Cryptosporidium andersoni oocysts before and after excystation

description: Additional file 4: Table S2. Statistical summary of proteomic analyses and protein identification of C. andersoni oocysts before and after excystation.
DOI: 10.6084/m9.figshare.17284085
title: Additional file 4 of Tandem mass tag (TMT)-based proteomic analysis of Cryptosporidium andersoni oocysts before and after excystation

description: Additional file 4: Table S2. Statistical summary of proteomic analyses and protein identification of C. andersoni oocysts before and after excystation.
DOI: 10.6084/m9.figshare.17284088
title: Additional file 5 of Tandem mass tag (TMT)-based proteomic analysis of Cryptosporidium andersoni oocysts before and after excystation

description: Additional file 5: Table S3. Statistical analysis of differentially expressed proteins in C. andersoni oocysts before and after excystation.
DOI: 10.6084/m9.figshare.17284088.v1
title: Additional file 5 of Tandem mass tag (TMT)-based proteomic analysis of Cryptosporidium andersoni oocysts before and after excystation

description: Additional file 5: Table S3. Statistical analysis of differentially expressed proteins in C. andersoni oocysts before and after excystation.
DOI: 10.6084/m9.figshare.17284116
title: Additional file 3 of Impaired SorLA maturation and trafficking as a new mechanism for SORL1 missense variants in Alzheimer disease

description: Additional file 3: Table S1: Summary of analyses performed in HEK293 cells expressing wild-type (WT) or missense variants of SorLA, or in CRISPR/Cas9-edited hiPSC. Nucleotide positions are relative to canonical transcript NM_003105.5. The nucleotide change on cDNA, the corresponding amino acid change on the protein, and the location along the protein (Functional domain) are indicated. The Mis3, Mis2, and Mis0-1 missense variants examined in this study are shown in red, orange and black, respectively. For each variant, the number of carriers among our cohort (or among cohorts described in the litterature when applicable) and the corresponding frequency are indicated, as well as the allele count and the corresponding frequency in the gnomAD v2.1 database (only including individuals of European ancestry, and classified as “non-neuro”). Regarding the functional studies inHEK293 cells and iPSCs, a (Y) indicates an impact of the variants on SorLA protein maturation, transport or function and a (N) indicates no change from the wild-type form of the protein.
DOI: 10.6084/m9.figshare.17284116.v1
title: Additional file 3 of Impaired SorLA maturation and trafficking as a new mechanism for SORL1 missense variants in Alzheimer disease

description: Additional file 3: Table S1: Summary of analyses performed in HEK293 cells expressing wild-type (WT) or missense variants of SorLA, or in CRISPR/Cas9-edited hiPSC. Nucleotide positions are relative to canonical transcript NM_003105.5. The nucleotide change on cDNA, the corresponding amino acid change on the protein, and the location along the protein (Functional domain) are indicated. The Mis3, Mis2, and Mis0-1 missense variants examined in this study are shown in red, orange and black, respectively. For each variant, the number of carriers among our cohort (or among cohorts described in the litterature when applicable) and the corresponding frequency are indicated, as well as the allele count and the corresponding frequency in the gnomAD v2.1 database (only including individuals of European ancestry, and classified as “non-neuro”). Regarding the functional studies inHEK293 cells and iPSCs, a (Y) indicates an impact of the variants on SorLA protein maturation, transport or function and a (N) indicates no change from the wild-type form of the protein.
DOI: 10.6084/m9.figshare.17284119.v1
title: Additional file 4 of Impaired SorLA maturation and trafficking as a new mechanism for SORL1 missense variants in Alzheimer disease

description: Additional file 4: Table S2: Primer pairs used to introduce SorLA genetic variations into the wild-type sequence by site-directed mutagenesis
DOI: 10.6084/m9.figshare.17284119
title: Additional file 4 of Impaired SorLA maturation and trafficking as a new mechanism for SORL1 missense variants in Alzheimer disease

description: Additional file 4: Table S2: Primer pairs used to introduce SorLA genetic variations into the wild-type sequence by site-directed mutagenesis
DOI: 10.6084/m9.figshare.17284122
title: Additional file 5 of Impaired SorLA maturation and trafficking as a new mechanism for SORL1 missense variants in Alzheimer disease

description: Additional file 5: Table S3: Sequences of guide RNAs, ssODNs and primer pairs used for CRISPR/Cas9 gene editing and clone screening. For each variant, the nucleotide change (as a function of the genomic position and SORL1 cDNA) and the resulting protein change are indicated, together with the sequences of the guide RNAs, the corresponding ssODNs and the Sanger sequencing primer pairs. On ssODN sequences, lowercases correspond to intronic sequences. The position of the variant is indicated in red and the corresponding nucleotide triplet is underlined. The synonymous variants introduced to preclude re-cutting by the Cas9 are indicated in green and the corresponding nucleotide triplet is underlined.
DOI: 10.6084/m9.figshare.17284122.v1
title: Additional file 5 of Impaired SorLA maturation and trafficking as a new mechanism for SORL1 missense variants in Alzheimer disease

description: Additional file 5: Table S3: Sequences of guide RNAs, ssODNs and primer pairs used for CRISPR/Cas9 gene editing and clone screening. For each variant, the nucleotide change (as a function of the genomic position and SORL1 cDNA) and the resulting protein change are indicated, together with the sequences of the guide RNAs, the corresponding ssODNs and the Sanger sequencing primer pairs. On ssODN sequences, lowercases correspond to intronic sequences. The position of the variant is indicated in red and the corresponding nucleotide triplet is underlined. The synonymous variants introduced to preclude re-cutting by the Cas9 are indicated in green and the corresponding nucleotide triplet is underlined.
DOI: 10.6084/m9.figshare.17284125
title: Additional file 6 of Impaired SorLA maturation and trafficking as a new mechanism for SORL1 missense variants in Alzheimer disease

description: Additional file 6: Table S4: p-Values of statistical analyses
DOI: 10.6084/m9.figshare.17284125.v1
title: Additional file 6 of Impaired SorLA maturation and trafficking as a new mechanism for SORL1 missense variants in Alzheimer disease

description: Additional file 6: Table S4: p-Values of statistical analyses
DOI: 10.5281/zenodo.5791294
title: WWV USB Recording by KD2LOF, 5 MHz, no GPSDO

description: <strong>Callsign:</strong> KD2LOF-1 <strong>Radio:</strong> Icom 7300 <strong>GPSDO:</strong> No <strong>Antenna: </strong>G5RV Junior <strong>Coordinates:</strong> (40.72412 -73.98919) <strong>Elevation:</strong> 16.5 meters KD2LOF_R_4999kHz__2021-12-03_23-28-47 KD2LOF_R_4999kHz__2021-12-04_20-28-35 <strong>Callsign:</strong> KD2LOF-2 <strong>Radio:</strong> AIRSPY HF+ Discovery <strong>GPSDO:</strong> No <strong>Antenna: </strong>MLA30+ Magloop <strong>Coordinates:</strong> (40.72412 -73.98919) <strong>Elevation:</strong> 16.5 meters SNASH_2021-12-06_23-04-52/KD2LOF-2_23-04-52_ET_4999 kHz_No GPSDO_0 SNASH_2021-12-08_23-27-25/KD2LOF-2_23-27-25_ET_4999 kHz_No GPSDO_0
description: Manually adjusted metadata on KD2LOF-2_23-04-52_ET_4999 kHz_No GPSDO_0 to have "KD2LOF-2" post-recording (original file had "KD2LOF")