cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11380044
title: NEON domains shapefile

description: Shapefile with the outlines of NEON ecoregions, which were used as a grouping variable in our analysis. These data are provided for convenience and were not created or altered by the authors. See the references for further information. This file is also available here: <br><br>https://www.neonscience.org/sites/default/files/NEONDomains_0.zip
DOI: 10.6084/m9.figshare.11380044.v1
title: NEON domains shapefile

description: Shapefile with the outlines of NEON ecoregions, which were used as a grouping variable in our analysis. These data are provided for convenience and were not created or altered by the authors. See the references for further information. This file is also available here: <br><br>https://www.neonscience.org/sites/default/files/NEONDomains_0.zip
DOI: 10.12751/g-node.6521de
title: Data and code for Brysch et al. 2019: Functional architecture underlying binocular coordination of eye position and velocity in the larval zebrafish hindbrain

description: This is the data and code from the manuscript "Functional architecture underlying binocular coordination of eye position and velocity in the larval zebrafish hindbrain" by Brysch et al. (2019)
description: IsSupplementTo: Brysch et al. (2019) Recruitment orders underlying binocular coordination of eye position and velocity in the larval zebrafish hindbrain. bioRxiv. https://doi.org/10.1101/754226
DOI: 10.25405/data.ncl.10043060
title: "Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data" - results of machine learning experiments

description: For all experiments the first level folder hierarchy indicates the <i>method</i> used. Where parameter tuning is performed, the second level folders indicate<b> </b><i>algorithm parameters</i>. Each experiment output is stored in a xz compressed text file in <b>JSON </b>format.<br><br>In experiments measuring the <b>learning curves</b> (<i>training-*</i>), each results file describes:<br>* experiment setup (algorithm, number of subsets, down-sampled class size)* list of training set sizes<br>* performance measure statistics for all subsets at each training size (flat list) including min, median and max score, and median deviation from median (mad), given for both test and training set instances<br><br>In <b>parameter tuning</b> experiments (<i>prediction-multi-*</i>), each results file contains:<br>* experiment setup (method / algorithm, number of CV repeats, number of model runs)* imputer parameters (not important, kept constant in all experiments)<br>* classifier parameters (for random forest)<br>* true class for each instance<br>* class predictions by the median model from each CV-repeat<br>* class probabilities estimated by the median model from each CV-repeat<br>* performance measure statistics for each CV-repeat including min, median and max score, and median deviation from median (mad)<br><br>In <b>RFE experiments</b> (<i>prediction-multi-rfe-*</i>) the results additionally include:<br>* scores for all RFE steps for each CV-repeat<br>* number of times each feature was selected (across all folds and CV-repeats)<br><br>
DOI: 10.25405/data.ncl.10043060.v1
title: "Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data" - results of machine learning experiments

description: For all experiments the first level folder hierarchy indicates the <i>method</i> used. Where parameter tuning is performed, the second level folders indicate<b> </b><i>algorithm parameters</i>. Each experiment output is stored in a xz compressed text file in <b>JSON </b>format.<br><br>In experiments measuring the <b>learning curves</b> (<i>training-*</i>), each results file describes:<br>* experiment setup (algorithm, number of subsets, down-sampled class size)* list of training set sizes<br>* performance measure statistics for all subsets at each training size (flat list) including min, median and max score, and median deviation from median (mad), given for both test and training set instances<br><br>In <b>parameter tuning</b> experiments (<i>prediction-multi-*</i>), each results file contains:<br>* experiment setup (method / algorithm, number of CV repeats, number of model runs)* imputer parameters (not important, kept constant in all experiments)<br>* classifier parameters (for random forest)<br>* true class for each instance<br>* class predictions by the median model from each CV-repeat<br>* class probabilities estimated by the median model from each CV-repeat<br>* performance measure statistics for each CV-repeat including min, median and max score, and median deviation from median (mad)<br><br>In <b>RFE experiments</b> (<i>prediction-multi-rfe-*</i>) the results additionally include:<br>* scores for all RFE steps for each CV-repeat<br>* number of times each feature was selected (across all folds and CV-repeats)<br><br>
DOI: 10.22021/bbldntz201907
title: The Linked Open British National Bibliography – Books. 1950/2019-07 – N-Triples
DOI: 10.22021/bbldrdfz201907
title: The Linked Open British National Bibliography – Books – 1950/2019-07- RDF/XML
DOI: 10.22021/bsldntz201907
title: The Linked Open British National Bibliography – Serials - 1950/2019-07 – N-Triples
DOI: 10.22021/bcldntz201907
title: The Linked Open British National Bibliography – Forthcoming Books – 2019-07 - N-Triples
DOI: 10.22021/bcldrdfz201907
title: The Linked Open British National Bibliography – Forthcoming Books – 2019-07 - RDF/XML
DOI: 10.22021/bsldrdfz201907
title: The Linked Open British National Bibliography – Serials - 1950/2019-07- RDF/XML
DOI: 10.5061/dryad.ncjsxksqm
title: Landscape composition and food web complexity jointly shape on-farm biological control services

description: In agricultural landscape mosaics, non-crop habitat affects pest-natural enemy communities, their dynamic interactions and ultimate ecosystem service delivery (i.e., biological pest control). The complex food web interactions driving landscape effects on ecosystem service delivery remain poorly understood. Here, drawing upon a 3-year dataset of parasitoid - hyperparasitoid food webs from 25 different agro-landscapes in the North China Plain, we assess the concurrent effects of landscape composition and (field-level) food web structure on aphid pest control in cotton. We employ piecewise structural equation modeling (SEM) to analyze postulated causal pathways explaining pest suppression. Landscape factors shape richness of both parasitoids and hyperparasitoids, in turn affecting food-web connectance and parasitism rate. Non-crop habitat also directly affected overall parasitoid numbers and indirectly bolstered pest control without mediation through the food web. Our work underscores a need to account for food web complexity when assessing insect-mediated biological control within agro-landscapes.
DOI: 10.6084/m9.figshare.8281826.v3
title: Data Set for Retrospective cohort study monitoring Pegaspargase activity in acute lymphoblastic leukemia patients with and without premedication  Lossaso M, Messinger Y, Bostrom B

description: Data from children and young adults with acute lymphoblastic leukemia receiving pegaspargase with and without premedications given to prevent high grade allergic reactions including anaphylaxis.  Date include: pegaspargase activity following dose and incidence of high grade allergic reactions.
DOI: 10.12751/g-node.92538d
title: Distinct recruitment of dorsomedial and dorsolateral striatum in an instrumental task erodes with extended training

description: repository for datafiles and Matlab codes related to the study entitled "Distinct recruitment of dorsomedial and dorsolateral striatum in an instrumental task erodes with extended training"
DOI: 10.25412/iop.9447518
title: dados_para_analise_cap1.csv

description: The database contains soil and climate data for 4 different vegetations present in the semiarid region of Brazil. Total number of observations: 156.
DOI: 10.25412/iop.9447518.v1
title: dados_para_analise_cap1.csv

description: The database contains soil and climate data for 4 different vegetations present in the semiarid region of Brazil. Total number of observations: 156.
DOI: 10.25573/serc.11020646.v1
title: SERC Meteorological Data

description: These data sets contain vetted and filled meteorological data from a tower-based sensor array and a forest floor array for the Smithsonian Environmental Research Center in Edgewater, Maryland. The data currently cover the period of 2002 to 2019. Data include minute data and daily values for both the tower and forest floor. There are also two meta-data files: Readme.html and Updater.html. Readme.html introduces the basics of the offered datasets and explains variables and an overview of gap-filling. Updater.html offers a more detailed description of how data were collected, collated, vetted, adjusted / edited, and gap-filled. Most users will benefit from the base data files and the Readme.html. Instructions on citing the data are in Readme.html.
DOI: 10.25573/serc.11020646.v2
title: SERC Meteorological Data

description: These data sets contain vetted and filled meteorological data from a tower-based sensor array and a forest floor array for the Smithsonian Environmental Research Center in Edgewater, Maryland. The data currently cover the period of 2002 to 2019. Data include minute data and daily values for both the tower and forest floor. There are also two meta-data files: Readme.html and Updater.html. Readme.html introduces the basics of the offered datasets and explains variables and an overview of gap-filling. Updater.html offers a more detailed description of how data were collected, collated, vetted, adjusted / edited, and gap-filled. Most users will benefit from the base data files and the Readme.html. Instructions on citing the data are in Readme.html.
DOI: 10.5061/dryad.s7h44j13d
title: The assembly genome of a wild landrace of tea plant (named as DASZ)

description: Using Pacbio long reads, Illumina short reads to assemble the genome of a wild landrace of tea plant (named as DASZ).
DOI: 10.12751/g-node.d9dd71
title: Vocal production learning in the pale spear-nosed bat, Phyllostomus discolor

description: Raw data set and extracted data; incl. extraction and analysis scripts. Extract the raw recordings in one 'recordings' folder. Extract the private folder. Keep the private folder in one directory with the yin script and the extraction and analysis scripts. The Calls_bat... .m files contain already extracted variables for each bat and can be used directly with the analysis script.
DOI: 10.25573/data.10072625
title: Supporting data for “The challenges of reconstructing tropical biodiversity with sedimentary ancient DNA: a 2200-year-long metagenomic record from Bwindi Impenetrable Forest, Uganda”

description: Supporting datasets and analyses for “The challenges of reconstructing tropical biodiversity with sedimentary ancient DNA: a 2200-year-long metagenomic record from Bwindi Impenetrable Forest, Uganda”. See file "Bwindi_SupportingData.docx" for detailed descriptions of individual file contents. Analyses and datasets are included in the gzip compressed tar archives (*.tar.gz).<br>
DOI: 10.5061/dryad.rv15dv44v
title: Soft sensor models of pulp components based on the quality indices in bleaching process

description: The traditional measurement method of pulp quality indices can not meet the requirements of diversification and customization of product and industrial internet. Soft sensor models of pulp components are established based on analyzing the correlation between cellulose, hemicellulose, lignin content and whiteness, Kappa, intrinsic viscosity respectively in the chlorine dioxide bleaching process. The models were verified and the maximum errors are 3.19%, 3.01%, and 5.55%, respectively. The results show that the models can simulate the varieties of components in bleaching process, judge the quality of bleached pulp more intuitively than traditional whiteness, Kappa and intrinsic viscosity. The models have a practical significance for paper products requiring the concerned component, and match to the tendency of precise and intelligent control of the bleaching process.
description: Chlorine dioxides bleaching as the main bleaching section of ECF were selected as the object. Six levels of single factor experiments were performed on available chlorine charge, bleaching temperature and the retention time under the specific pulp consistency respectively, typical indicators such as intrinsic viscosity, whiteness and Kappa of the bleached pulp were measured. At the same time, cellulose, lignin and hemicellulose relative content of the bleached pulp were measured in the bleaching process and the correlation between components and each quality performance indices were modeled and analyzed.
DOI: 10.5061/dryad.547d7wm41
title: Optimal foraging explains novel movement behavior of benthic diatoms

description: Adaptive locomotion of living organisms contributes to their competitive abilities and helps maintain their fitness in diverse environments. To date, however, our understanding of searching behavior and its ultimate cause remains poorly understood in ecology and biology. Here, we investigate motion patterns of biofilm-inhabiting marine raphid diatom Navicula arenaria var. rostellata in two-dimensional space. We report that individual Navicula cells display a “circular-run-and-reversal” movement behavior at different concentrations of dissolved silicic acid (dSi). We show that gliding motions of cells can be predicted accurately with a Langevin model. Our experimental results are consistent with an optimal foraging strategy in which both circular-run and reversal behaviors are important ingredients. Our theoretical results suggest that the evolving movement behaviors of diatoms may be driven by optimization of searching ability, and predicted behavioral parameters coincide with the experimental observations. These optimized movement behaviors are an evolutionarily stable strategy to cope with environmental complexity.
DOI: 10.6084/m9.figshare.11459610
title: Untitled Itemdddd

description: this is outpuut
DOI: 10.6084/m9.figshare.11459610.v1
title: Untitled Itemdddd

description: this is outpuut
DOI: 10.6084/m9.figshare.11481468
title: PeERF1 functions in lip cuticle-Supplemental Data_123119.pdf

description: Supplementary materials for publishing paper, including figures and table.<br>
DOI: 10.6084/m9.figshare.11481468.v1
title: PeERF1 functions in lip cuticle-Supplemental Data_123119.pdf

description: Supplementary materials for publishing paper, including figures and table.<br>
DOI: 10.6084/m9.figshare.11840100
title: The change of the diagnosis of parasitic diseases in clinical studies

description: Using text mining, we extracted diagnosis-related terms, and these terms were counted in 28,218 abstracts of case reports on parasitic diseases published from 1956 to 2016 with the reported year.
DOI: 10.5061/dryad.pg4f4qrjq
title: Predator-induced maternal effects via eggs shape offspring behaviour and their expression of growth genes in a highly social fish

description: Predator-induced non-genetic maternal effects may influence how offspring cope with predation theat. However, the underlying physiological mechanisms and the stages in ontogeny when these take effect effects operate are still largely unresolved. In this integrative study, we investigated maternal effects via egg composition on offspring gene expression, growth, survival and anti-predator escape behaviour. We exposed pairs of the cooperatively breeding cichlid Neolamprologous pulcher to visual and chemical cues of its natural predator Lepidolamprogous elongatus, or to control cues. Predator-exposed mothers laid heavier eggs with higher net protein content and distinct metabolomics profiles. Offspring from predator-exposed parents had a lower expression of insulin-like growth factor (igf)-1 gene. As juveniles, these offspring showed a faster startle reflex implicating a role of maternal effects on offspring neural development; they were also more risk-averse. Thus, prenatal maternal effects can exert both somatic and informational effects on offspring acting at molecular, neural and behavioural levels.
DOI: 10.6084/m9.figshare.7692623
title: Dataset Microbiota AG y2019m02

description: <b>Gut microbiota in hospitalized children under 5 years with acute infective gastroenteritis caused by virus or bacteria in a regional Peruvian hospital<br></b><b><br></b><b>ABSTRACT</b>Objective: The main objective of this study was to describe the prevalence of 13 representative bacteria from the gut microbiota (GM) in stools samples from children under 5 years of age with acute infective gastroenteritis (AIG) as well as to describe clinical and demographic features from our study population.Results: The most commonly isolated bacteria from the GM were Firmicutes (63.2%) Bacteriodetes (62.4%), Lactobacillus (59.8%), Prevotella (57.3%), Proteobacterium (53.8%), regardless of the etiological agent responsible for the AIG. Interestingly, despite the high prevalence of Firmicutes, Bacteroidetes, Lactobacillus, and Prevotella across all samples, a visible reduction of these agents was observed especially among patients with a single bacterial infection or even bacteria – bacteria coinfections when compared to viral etiologies. Patients with exclusive or mixed breastfeeding registered the highest amount of gut microbiota bacteria, in contrast to infants who received formula or were not breastfed.<br>Keywords: Intestinal microbiota, acute enteritis, child, bacterial infection, viral infection, gastrointestinal infection<br>
DOI: 10.6084/m9.figshare.7692623.v1
title: Dataset Microbiota AG y2019m02

description: <b>Gut microbiota in hospitalized children under 5 years with acute infective gastroenteritis caused by virus or bacteria in a regional Peruvian hospital<br></b><b><br></b><b>ABSTRACT</b>Objective: The main objective of this study was to describe the prevalence of 13 representative bacteria from the gut microbiota (GM) in stools samples from children under 5 years of age with acute infective gastroenteritis (AIG) as well as to describe clinical and demographic features from our study population.Results: The most commonly isolated bacteria from the GM were Firmicutes (63.2%) Bacteriodetes (62.4%), Lactobacillus (59.8%), Prevotella (57.3%), Proteobacterium (53.8%), regardless of the etiological agent responsible for the AIG. Interestingly, despite the high prevalence of Firmicutes, Bacteroidetes, Lactobacillus, and Prevotella across all samples, a visible reduction of these agents was observed especially among patients with a single bacterial infection or even bacteria – bacteria coinfections when compared to viral etiologies. Patients with exclusive or mixed breastfeeding registered the highest amount of gut microbiota bacteria, in contrast to infants who received formula or were not breastfed.<br>Keywords: Intestinal microbiota, acute enteritis, child, bacterial infection, viral infection, gastrointestinal infection<br>
DOI: 10.25573/data.11529915
title: Cynomys gunnisoni VCF file

description: VCF file from: First genome sequence of the Gunnison’s prairie dog (Cynomys gunnisoni), a keystone species and player in the transmission of sylvatic plague
DOI: 10.5061/dryad.kprr4xh11
title: Effects of environmentally relevant concentrations of microplastic fibers on Pacific mole crab (Emerita analoga) mortality and reproduction

description: Microplastics are ubiquitous in marine systems; however, knowledge of the effects of these particles on marine fauna is limited. Ocean‐borne plastic debris accumulates in littoral ecosystems worldwide, and invertebrate infauna inhabiting these systems can ingest small plastic particles and fibers, mistaking them for food. We examined the effect of microplastic fibers on physiological and reproductive outcomes in a nearshore organism by exposing Pacific mole crabs (Emerita analoga) to environmentally relevant concentrations of microsized polypropylene rope fibers. We compared adult gravid female crab mortality, reproductive success, and embryonic developmental rates between microfiber‐exposed and control crabs. Pacific mole crabs exposed to polypropylene rope had increased adult crab mortality, and decreased retention of egg clutches, causing variability in embryonic development rates. These effects of microplastic ingestion on a nearshore prey species have implications for predators such as surf perf and shore birds, as plastic use, and resultant microplastic presence in nearshore environments increases. Microplastics are ubiquitous in marine and sandy beach environments, posing a significant threat to the marine organisms that reside therein. The most predominant classification of microplastics found have been microfibers. Although a number of biological effects of microplastics have been measured, with documented effects on growth, little research has examined how microplastic fibers affect reproductive output and subsequent development of offspring. We examined the effects of exposure to microfibers on adult mortality, reproductive output, and embryonic development of the filter feeding Pacific mole crab (E. analoga), a dominant infaunal organism on sandy beaches. We demonstrate the effects of microplastic ingestion on mole crab mortality and embryonic development, filling a gap in the current knowledge on the impact of microplastics.
DOI: 10.6084/m9.figshare.8426948
title: Genome-wide association study for growth and fatness traits in Chinese Sujiang pigs

description: The phenotypes and genotypes for Chinese Sujiang pigs<br>
DOI: 10.6084/m9.figshare.8426948.v1
title: Genotype and phenotype data of Chinese Sujiang pigs

description: Here we explored the GeneSeek
GGP Porcine 80K SNP chip to perform a genome-wide association study for seven growth and fatness traits in 365 individuals
from the Sujiang pig, a recently developed breed in China. We found
considerable phenotypic variability within this population. The genomic
heritability of the seven traits ranged from 0.33 to 0.62. We identified two,
17, one and 11 chromosome-wide significant (<i>P</i>
&lt; 1.87E-05, defined by the Bonferroni method) SNPs for body weight, chest
circumference, chest width and backfat thickness, respectively. Of these SNPs,
five and four SNPs were respectively associated with chest circumference and
backfat thickness at a genome-wide significant threshold (<i>P</i> &lt; 9.36E-07). Eight SNPs had pleiotropic effect on both chest
circumference and backfat thickness. The most remarkable locus resided in a region
between 79.41 Mb and 83.37 Mb on pig chromosome 4, harboring a number of
previously reported quantitative trait loci related to backfat deposition. In
addition to a known one (<i>TAS2R38</i>), we identified seven genes
including <i>APBA2</i>, <i>PRKDC</i>, <i>CEBPD</i>, <i>DPT</i>, <i>MPC2</i>,
<i>CREG1 </i>and <i>MGAM</i> as novel candidates for body weight and backfat thickness at
the mapped loci. Our findings provide insights into the genetic architecture of
porcine growth and fatness traits and potential markers for selective breeding
of Chinese Sujiang pigs.
DOI: 10.6084/m9.figshare.8426948.v2
title: Genome-wide association study for growth and fatness traits in Chinese Sujiang pigs

description: <i>Genotype and phenotype data of Chinese Sujiang pigs</i><br>
DOI: 10.6084/m9.figshare.8427596.v2
title: Genome-wide association study for growth and fatness traits in Chinese Sujiang pigs

description: The phenotypes and genotypes for Chinese Sujiang pigs<br>
DOI: 10.25678/0001jd
title: Data for: A new in situ method for tracing denitrification in riparian groundwater

description: This package contains data to an article about denitrification in groundwater. The data included are:1. continuously analyzed (noble) gases and excess air model results of three different piezometers over a six-month period; 2. hydraulic conductivity and microbial activity analyzed at the piezometers (and the stream); 3. key parameters associated with denitrification (nitrate, alkalinity, O2, DOC, sulfate); 4. precipitation data and water level data of the stream and two piezometers.