cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6007637
title: Energy dataset of IIITD

description: This dataset contains energy consumption data of seven buildings of an academic institue campus at an aggregate building's level. Please open Readme file to know dataset details.
DOI: 10.6084/m9.figshare.6007634
title: IIITD semester calendar

description: This dataset contains year-wise CSV files showing working, and non-working days of IIITD over a duration of five years.
DOI: 10.6084/m9.figshare.6007634.v1
title: IIITD semester calendar

description: This dataset contains year-wise CSV files showing working, and non-working days of IIITD over a duration of five years.
DOI: 10.6084/m9.figshare.6007523
title: The Limit-in Versus Limit-out Approach to the Dirac Delta

description: A review of the integral representation of the Dirac delta distribution regarding the strong requirements imposed on test functions and their possible disadvantages for physical theories, coupled with a new approach to the beast and a newly proposed integral representation that fulfills the sifting property for any continuous function or field.
DOI: 10.6084/m9.figshare.6007514
title: Metadata for use in R

description: Metadata for use in R with biom file
DOI: 10.6084/m9.figshare.6007514.v1
title: Metadata for use in R

description: Metadata for use in R with biom file
DOI: 10.6084/m9.figshare.6007511
title: Biom file

description: Biom file of pups fecal microbiota
DOI: 10.6084/m9.figshare.6007511.v1
title: Biom file

description: Biom file of pups fecal microbiota
DOI: 10.6084/m9.figshare.6007508
title: OTU table

description: OTU table of breast milk microbiota collected day 14 postpartum<br>
DOI: 10.6084/m9.figshare.6007508.v1
title: OTU table

description: OTU table of breast milk microbiota collected day 14 postpartum<br>
DOI: 10.6084/m9.figshare.6007505
title: Metadata

description: Metadata of breastmilk microbiota collected day 14 postpartum<br>
DOI: 10.6084/m9.figshare.6007505.v1
title: Metadata

description: Metadata of breastmilk microbiota collected day 14 postpartum<br>
DOI: 10.6084/m9.figshare.6007493
title: OTU table

description: OTU table of breastmilk microbiota collected day 4 postpartum<br>
DOI: 10.6084/m9.figshare.6007493.v1
title: OTU table

description: OTU table of breastmilk microbiota collected day 4 postpartum<br>
DOI: 10.6084/m9.figshare.6007487
title: Metadata Breastmilk

description: Metadata of breastmilk collected day 4 postpartum<br>
DOI: 10.6084/m9.figshare.6007487.v1
title: Metadata Breastmilk

description: Metadata of breastmilk collected day 4 postpartum<br>
DOI: 10.6084/m9.figshare.6007484
title: OTU table genital tract

description: OTU table of genital tract microbiota used for analysis using Calypso
DOI: 10.6084/m9.figshare.6007484.v1
title: OTU table genital tract

description: OTU table of genital tract microbiota used for analysis using Calypso
DOI: 10.6084/m9.figshare.6007481
title: Metadata Genital tract

description: Metadata of genital tract microbiota<br>
DOI: 10.6084/m9.figshare.6007481.v1
title: Metadata Genital tract

description: Metadata of genital tract microbiota<br>
DOI: 10.6084/m9.figshare.6007475
title: Pups OTU table

description: OTU table of pup gut microbiota
DOI: 10.6084/m9.figshare.6007466
title: Metadata

description: Metadata of pups gut microbiota 14 days postpartum<br>
DOI: 10.6084/m9.figshare.6007466.v1
title: Metadata

description: Metadata of pups gut microbiota 14 days postpartum<br>
DOI: 10.1184/r1/6007451
title: Saved Data Results from the Workflow to Analysis Imputation for Microsatellite / Cell Datasets for Reconstructing Cell Lineage Maps

description: These are the results of the pipeline I wrote for my research in order to determine how imputation method affects the underlying structure of a Microsatellite/Cell Dataset useful for reconstructing cell lineage maps. The analysis was done using KNN,Linear Regression and a novel method based on Fitch's Algorithm. The pipeline was applied to 3 datasets (Tree A, B and C) taken from Frumkin et al. 2005 and is in three different folders. Follow the instructions txt to easily load data into python for easy processing.<br>
DOI: 10.1184/r1/6007451.v1
title: Saved Data Results from the Workflow to Analysis Imputation for Microsatellite / Cell Datasets for Reconstructing Cell Lineage Maps

description: These are the results of the pipeline I wrote for my research in order to determine how imputation method affects the underlying structure of a Microsatellite/Cell Dataset useful for reconstructing cell lineage maps. The analysis was done using KNN,Linear Regression and a novel method based on Fitch's Algorithm. The pipeline was applied to 3 datasets (Tree A, B and C) taken from Frumkin et al. 2005 and is in three different folders. Follow the instructions txt to easily load data into python for easy processing.<br>
DOI: 10.6084/m9.figshare.6007430
title: Florea Banks Geochem Model Main.xlsx

description: Continuous Monitoring data for Sarah Banks Masters thesis 2018. Includes primary data set for continuous monitoring of a karst spring within the Vadu Crisului cave system. For further information please contact author(s).
DOI: 10.6084/m9.figshare.6007430.v1
title: Florea Banks Geochem Model Main.xlsx

description: Continuous Monitoring data for Sarah Banks Masters thesis 2018. Includes primary data set for continuous monitoring of a karst spring within the Vadu Crisului cave system. For further information please contact author(s).
DOI: 10.6084/m9.figshare.6007340
title: Mapping CHIKV .bam files from each sample and negative controls

description: CHIKV genomes sequenced from clinical samples.
DOI: 10.6084/m9.figshare.6007340.v1
title: Mapping CHIKV .bam files from each sample and negative controls

description: CHIKV genomes sequenced from patients presenting classical and neurological complications.
DOI: 10.6084/m9.figshare.6007340.v2
title: Mapping CHIKV .bam files from each sample and negative controls

description: CHIKV genomes sequenced from patients presenting classical and neurological complications.
DOI: 10.6084/m9.figshare.6007340.v3
title: Mapping CHIKV .bam files from each sample and negative controls

description: CHIKV genomes sequenced from patients presenting classical and neurological complications.
DOI: 10.6084/m9.figshare.6007340.v4
title: Mapping CHIKV .bam files from each sample and negative controls

description: CHIKV genomes sequenced from patients presenting classical and neurological complications.
DOI: 10.6084/m9.figshare.6007340.v5
title: Mapping CHIKV .bam files from each sample and negative controls

description: CHIKV genomes sequenced from patients presenting classical and neurological complications.
DOI: 10.6084/m9.figshare.6007322
title: top50_hashtags.json

description: Contains counts of the 50 most common hashtags on Twitter from 2013 through 2016, sampling each hour. The sample was obtained using a 10% sample of all tweets.
DOI: 10.6084/m9.figshare.6007322.v1
title: top50_hashtags.json

description: Contains counts of the 50 most common hashtags on Twitter, sampling each hour. The sample was obtained using a 10% sample of all tweets.
DOI: 10.6084/m9.figshare.6007322.v2
title: top50_hashtags.json

description: Contains counts of the 50 most common hashtags on Twitter from 2013 through 2016, sampling each hour. The sample was obtained using a 10% sample of all tweets.
DOI: 10.6084/m9.figshare.6007316
title: Statistical script and datasets

description: R scripts (pdf and R code) and datasets (excel files) used for the sequence analysis and the playbacks analysis. Methods and details can be found in the related article.<br><br>
DOI: 10.6084/m9.figshare.6007316.v1
title: Statistical script

description: Methods and details can be found in the related article<br>
DOI: 10.6084/m9.figshare.6007316.v2
title: Statistical script and datasets

description: R scripts (pdf and R code) and datasets (excel files) used for the sequence analysis and the playbacks analysis. Methods and details can be found in the related article<br>
DOI: 10.6084/m9.figshare.6007316.v3
title: Statistical script and datasets

description: R scripts (pdf and R code) and datasets (excel files) used for the sequence analysis and the playbacks analysis. Methods and details can be found in the related article<br>
DOI: 10.6084/m9.figshare.6007316.v4
title: Statistical script and datasets

description: R scripts (pdf and R code) and datasets (excel files) used for the sequence analysis and the playbacks analysis. Methods and details can be found in the related article<br>
DOI: 10.6084/m9.figshare.6007283
title: More Precise Estimation of Lower-Level Interaction Effects in Multilevel Models

description: In hierarchical data, the effect of a lower-level predictor on a lower-level outcome may often be confounded by an (un)measured upper-level factor. When such confounding is left unaddressed, the effect of the lower-level predictor is estimated with bias. Separating this effect into a within- and between-component removes such bias in a linear random intercept model under a specific set of assumptions for the confounder. When the effect of the lower-level predictor is additionally moderated by another lower-level predictor, an interaction between both lower-level predictors is included into the model. To address unmeasured upper-level confounding, this interaction term ought to be decomposed into a within- and between-component as well. This can be achieved by first multiplying both predictors and centering that product term next, or vice versa. We show that while both approaches, on average, yield the same estimates of the interaction effect in linear models, the former decomposition is much more precise and robust against misspecification of the effects of cross-level and upper-level terms, compared to the latter.
DOI: 10.6084/m9.figshare.6007283.v2
title: More Precise Estimation of Lower-Level Interaction Effects in Multilevel Models

description: In hierarchical data, the effect of a lower-level predictor on a lower-level outcome may often be confounded by an (un)measured upper-level factor. When such confounding is left unaddressed, the effect of the lower-level predictor is estimated with bias. Separating this effect into a within- and between-component removes such bias in a linear random intercept model under a specific set of assumptions for the confounder. When the effect of the lower-level predictor is additionally moderated by another lower-level predictor, an interaction between both lower-level predictors is included into the model. To address unmeasured upper-level confounding, this interaction term ought to be decomposed into a within- and between-component as well. This can be achieved by first multiplying both predictors and centering that product term next, or vice versa. We show that while both approaches, on average, yield the same estimates of the interaction effect in linear models, the former decomposition is much more precise and robust against misspecification of the effects of cross-level and upper-level terms, compared to the latter.
DOI: 10.6084/m9.figshare.12894485
title: Travel time to health facilities as a marker of geographical accessibility across heterogeneous land coverage in Peru

description: District-level estimates of average travel time (in minutes) to primary, secondary, and tertiary health care facility (HCF) in Peru.
DOI: 10.6084/m9.figshare.6007280
title: Virtual Levels and Role Models: N-Level Structural Equations Model of Reciprocal Ratings Data

description: A general latent variable modeling framework called n-Level Structural Equations Modeling (NL-SEM) for dependent data-structures is introduced. NL-SEM is applicable to a wide range of complex multilevel data-structures (e.g., cross-classified, switching membership, etc.). Reciprocal dyadic ratings obtained in round-robin design involve complex set of dependencies that cannot be modeled within Multilevel Modeling (MLM) or Structural Equations Modeling (SEM) frameworks. The Social Relations Model (SRM) for round robin data is used as an example to illustrate key aspects of the NL-SEM framework. NL-SEM introduces novel constructs such as ‘virtual levels’ that allows a natural specification of latent variable SRMs. An empirical application of an explanatory SRM for personality using xxM, a software package implementing NL-SEM is presented. Results show that person perceptions are an integral aspect of personality. Methodological implications of NL-SEM for the analyses of an emerging class of contextual- and relational-SEMs are discussed.
DOI: 10.6084/m9.figshare.6007280.v1
title: Virtual Levels and Role Models: N-Level Structural Equations Model of Reciprocal Ratings Data

description: A general latent variable modeling framework called n-Level Structural Equations Modeling (NL-SEM) for dependent data-structures is introduced. NL-SEM is applicable to a wide range of complex multilevel data-structures (e.g., cross-classified, switching membership, etc.). Reciprocal dyadic ratings obtained in round-robin design involve complex set of dependencies that cannot be modeled within Multilevel Modeling (MLM) or Structural Equations Modeling (SEM) frameworks. The Social Relations Model (SRM) for round robin data is used as an example to illustrate key aspects of the NL-SEM framework. NL-SEM introduces novel constructs such as ‘virtual levels’ that allows a natural specification of latent variable SRMs. An empirical application of an explanatory SRM for personality using xxM, a software package implementing NL-SEM is presented. Results show that person perceptions are an integral aspect of personality. Methodological implications of NL-SEM for the analyses of an emerging class of contextual- and relational-SEMs are discussed.
DOI: 10.6084/m9.figshare.6007232
title: GEP-NET transcriptional regulatory network

description: Gastro-Entero-Pancreatic Neuroendocrine Tumors (GEP-NET) transcriptional regulatory network assembled by the ARACNe algorithm and formated to be used with the VIPER algorithm
DOI: 10.6084/m9.figshare.6007223
title: File 12: Genome sequences and annotations

description: A bzip2 compressed tar archive containing IMG annotated genome assemblies, gene and protein sequences, and associated annotation files derived from the IMG Annotation Pipeline version 4. These data are maintained at the US DOE Joint Genome Institute's Integrated Microbial Genomes (IMG) Repository: https://img.jgi.doe.gov
DOI: 10.6084/m9.figshare.6007214
title: File 11: Heterotroph tree file

description: The maximum likelihood phylogenetic tree for the heterotrophic bacteria in this data set.
DOI: 10.6084/m9.figshare.6007214.v1
title: File 11: Heterotroph tree file

description: The maximum likelihood phylogenetic tree for the heterotrophic bacteria in this data set.
DOI: 10.6084/m9.figshare.6007208
title: File 10: Heterotroph alignment file

description: The reading-frame aware nucleotide codon alignment used for phylogenetic inference of the heterotrophic bacterial taxa in this data set.
DOI: 10.6084/m9.figshare.6007208.v1
title: File 10: Heterotroph alignment file

description: The reading-frame aware nucleotide codon alignment used for phylogenetic inference of the heterotrophic bacterial taxa in this data set.
DOI: 10.6084/m9.figshare.6007202
title: File 9: Heterotroph taxa

description: List of taxa used for inferring the phylogeny of the heterotrophic bacteria in this data set.
DOI: 10.6084/m9.figshare.6007202.v1
title: File 9: Heterotroph taxa

description: List of taxa used for inferring the phylogeny of the heterotrophic bacteria in this data set.
DOI: 10.6084/m9.figshare.6007199
title: File 8: Cyanobacteria tree file

description: The maximum likelihood phylogenetic tree for the cyanobacteria in this data set.
DOI: 10.6084/m9.figshare.6007199.v1
title: File 8: Cyanobacteria tree file

description: The maximum likelihood phylogenetic tree for the cyanobacteria in this data set.
DOI: 10.6084/m9.figshare.6007187
title: File 7: Cyanobacteria alignment file

description: The reading-frame aware nucleotide codon alignment used for phylogenetic inference of the cyanobacterial taxa in this data set.
DOI: 10.6084/m9.figshare.6007175
title: File 6: Cyanobacteria taxa

description: List of taxa used for inferring the phylogeny of the cyanobacteria in this data set.
DOI: 10.6084/m9.figshare.6007169
title: File 5: CyCOG definitions

description: ProPortal CyCOGs version 6.0 definitions.
DOI: 10.6084/m9.figshare.6007166
title: File 4: CyCOG taxa

description: List of genomes used for ProPortal CyCOGs version 6.0 annotations.
DOI: 10.6084/m9.figshare.6007166.v1
title: File 4: CyCOG taxa

description: List of genomes used for ProPortal CyCOGs version 6.0 annotations.
DOI: 10.6084/m9.figshare.6007163
title: File 3: Amplification kinetics distributions

description: DNA amplification kinetics distributions associated with the single cell genome assemblies.
DOI: 10.6084/m9.figshare.6007163.v1
title: File 3: Amplification kinetics distributions

description: DNA amplification kinetics distributions associated with the single cell genome assemblies.
DOI: 10.6084/m9.figshare.6007160
title: File 2: Amplification kinetics summaries

description: DNA amplification kinetics summaries associated with the single cell genome assemblies.
DOI: 10.6084/m9.figshare.6007160.v1
title: File 2: Amplification kinetics summaries

description: DNA amplification kinetics summaries associated with the single cell genome assemblies.
DOI: 10.6084/m9.figshare.6007154
title: File 1: FACS plots

description: Fluorescence-activated cell sorting (FACS) plots associated with the single cell genome assemblies.
DOI: 10.6084/m9.figshare.6007130
title: DNase Hypersensitive Site (DHS) Peaks from Primary Human Kidney Glomerular Outgrowths, Tubular Cultures and Immortalized Podocytes

description: Kidney tissues were obtained from patients undergoing radical nephrectomy for renal tumors with informed consent for DNA sequencing (University of Washington IRB 1297). Normal kidney cortex was lightly digested and then mechanically sieved to isolated glomeruli. The glomeruli were allowed to attach and primary outgrowth cultures of podocytes and mesangial cells were obtained in ~14 days. In parallel, cortical tissue was used to generate tubular outgrowth cultures. These cultures and an immortalized human podocyte cell line were subjected to DNase-seq and RNA-seq per published ENCODE protocols.
DOI: 10.6084/m9.figshare.6007130.v1
title: DNase Hypersensitive Site (DHS) Peaks from Primary Human Kidney Glomerular Outgrowths, Tubular Cultures and Immortalized Podocytes

description: Kidney tissues were obtained from patients undergoing radical nephrectomy for renal tumors with informed consent for DNA sequencing (University of Washington IRB 1297). Normal kidney cortex was lightly digested and then mechanically sieved to isolated glomeruli. The glomeruli were allowed to attach and primary outgrowth cultures of podocytes and mesangial cells were obtained in ~14 days. In parallel, cortical tissue was used to generate tubular outgrowth cultures. These cultures and an immortalized human podocyte cell line were subjected to DNase-seq and RNA-seq per published ENCODE protocols.
DOI: 10.6084/m9.figshare.6007124
title: RNA-seq Density Tracks of Primary Human Kidney Glomerular Outgrowths, Tubular Cultures and Immortalized Podocytes

description: Kidney tissues were obtained from patients undergoing radical nephrectomy for renal tumors with informed consent for DNA sequencing (University of Washington IRB 1297). Normal kidney cortex was lightly digested and then mechanically sieved to isolated glomeruli. The glomeruli were allowed to attach and primary outgrowth cultures of podocytes and mesangial cells were obtained in ~14 days. In parallel, cortical tissue was used to generate tubular outgrowth cultures. These cultures and an immortalized human podocyte cell line were subjected to DNase-seq and RNA-seq per published ENCODE protocols.
DOI: 10.6084/m9.figshare.6007124.v1
title: RNA-seq Density Tracks of Primary Human Kidney Glomerular Outgrowths, Tubular Cultures and Immortalized Podocytes

description: Kidney tissues were obtained from patients undergoing radical nephrectomy for renal tumors with informed consent for DNA sequencing (University of Washington IRB 1297). Normal kidney cortex was lightly digested and then mechanically sieved to isolated glomeruli. The glomeruli were allowed to attach and primary outgrowth cultures of podocytes and mesangial cells were obtained in ~14 days. In parallel, cortical tissue was used to generate tubular outgrowth cultures. These cultures and an immortalized human podocyte cell line were subjected to DNase-seq and RNA-seq per published ENCODE protocols.
DOI: 10.6084/m9.figshare.6007109
title: DNase-seq Density Tracks of Primary Human Kidney Glomerular Outgrowths, Tubular Cultures and Immortalized Podocytes

description: Kidney tissues were obtained from patients undergoing radical nephrectomy for renal tumors with informed consent for DNA sequencing (University of Washington IRB 1297). Normal kidney cortex was lightly digested and then mechanically sieved to isolated glomeruli. The glomeruli were allowed to attach and primary outgrowth cultures of podocytes and mesangial cells were obtained in ~14 days. In parallel, cortical tissue was used to generate tubular outgrowth cultures. These cultures and an immortalized human podocyte cell line were subjected to DNase-seq and RNA-seq per published ENCODE protocols.
DOI: 10.6084/m9.figshare.6007109.v1
title: DNase-seq Density Tracks of Primary Human Kidney Glomerular Outgrowths, Tubular Cultures and Immortalized Podocytes

description: Kidney tissues were obtained from patients undergoing radical nephrectomy for renal tumors with informed consent for DNA sequencing (University of Washington IRB 1297). Normal kidney cortex was lightly digested and then mechanically sieved to isolated glomeruli. The glomeruli were allowed to attach and primary outgrowth cultures of podocytes and mesangial cells were obtained in ~14 days. In parallel, cortical tissue was used to generate tubular outgrowth cultures. These cultures and an immortalized human podocyte cell line were subjected to DNase-seq and RNA-seq per published ENCODE protocols.
DOI: 10.6084/m9.figshare.6005375
title: Efficiency spillovers in Bayesian stochastic frontier models: application to electricity distribution in New Zealand

description: This paper proposes a spatial Bayesian random effects stochastic frontier model that allows for unobserved heterogeneity and spillovers between firms’ efficiencies with an exogenous spatial weights matrix. Proposals for efficiency measurement in the spatial context add to the debate in the literature. The approach shows good small-sample performance, which is very relevant for applied researchers, and explores guided walk metropolis as a simple and computationally efficient alternative to classic rejection techniques. The approach is applied to a sample of 28 New Zealand electricity distribution firms between 1996 and 2010, finding spatial dependence with a second-order contiguity matrix.
DOI: 10.6084/m9.figshare.6005375.v2
title: Efficiency spillovers in Bayesian stochastic frontier models: application to electricity distribution in New Zealand

description: This paper proposes a spatial Bayesian random effects stochastic frontier model that allows for unobserved heterogeneity and spillovers between firms’ efficiencies with an exogenous spatial weights matrix. Proposals for efficiency measurement in the spatial context add to the debate in the literature. The approach shows good small-sample performance, which is very relevant for applied researchers, and explores guided walk metropolis as a simple and computationally efficient alternative to classic rejection techniques. The approach is applied to a sample of 28 New Zealand electricity distribution firms between 1996 and 2010, finding spatial dependence with a second-order contiguity matrix.
DOI: 10.6084/m9.figshare.6005297
title: Pan, Meyers, et al. Cell Systems. 2018.

description: Pan, Meyers, et al. Cell Systems. 2018.