cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4042422
title: Maize B104 (beta) genome assembly and annotation

description: In the interest of the maize research community, the Iowa State Transformation Facility and Lawrence-Dill Plant Informatics and Computation Lab in collaboration with MaizeGDB has released a beta-version of the B104 maize genome and structural annotations prior to scientific publication in accordance with guidelines set forth by the Toronto agreement (http://www.nature.com/nature/journal/v461/n7261/full/461168a.html) for prepublication data sharing (Nature. 2009 461:168). The above groups reserve the first right to publish on the available B104 data including but not limited to whole-genome comparisons, genes, structural annotations, functional annotations, and genome-wide association studies. The group also reserves the right to the first opportunity to improve this sequence and its annotations for a full official genome release (version 1; anticipated release December 2017). Under the Toronto agreement, researchers can use the B104 sequence and annotation to study individual or small sets of genes and localized regions of the genome. Any redistribution of these data should include the full text of the data use policy.<br><br><br>Assembly Note: <br>The B104 genome was sequenced using Illumina paired end sequencing on HiSeq2000 at raw read coverage of 50X with read length of 101 bp and insert size 250 bp. Trimmed reads were assembled using a reference- guided assembly approach with B73 reference sequence (AGPv2 5b pseudo molecules). The reads were mapped to the B73 reference, consensus sequences were generated and gaps were filled. All paired end reads were mapped back to the gap-filled scaffolds to identify the regions with abnormal links and corresponding scaffolds were broken from those regions. Unmapped reads were assembled using a de novo approach and scaffolds were added to the final assembly.<br><br>B104 Gene Models:<br><br>B104 (beta) gene models were developed by the Lawrence-Dill Plant Informatics Lab in collaboration with MaizeGDB and Dow AgroSciences, and made available through www.maizegdb.org.<br><br>Genes were annotated using MAKER-P Pipeline, using both evidence-based approach (cDNA and EST data) and an ab initio approach. For evidence based prediction, transcriptome assemblies of diverse tissue types from B104 and other maize lines (B73, Miami white, Mo17, OH43, B97, W22, A188), full length cDNA sequences and annotated B73 proteins from NCBI, Arabidopsis thaliana, Oryza sativa japonica and other plant proteins from Uniprot were used. For ab initio predictions, AUGUSTUS and SNAP gene predictors were used. Gene models are named as recommended by the Maize Nomenclature Committee. <br>
DOI: 10.7910/dvn/v1rjpf/kwi89g
title: blc20170307_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/mkylmw
title: blc20171211_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4042407
title: Larval zebrafish electrical heart model

description: COMSOL electrical model of larval zebrafish and associated geometry files (.step) and COMSOL geometry.
DOI: 10.6084/m9.figshare.4042422.v1
title: B104 (beta) genome assembly and annotation

description: In the interest of the maize research community, the Iowa State Transformation Facility and Lawrence-Dill Plant Informatics and Computation Lab in collaboration with MaizeGDB has released a beta-version of the B104 maize genome and structural annotations prior to scientific publication in accordance with guidelines set forth by the Toronto agreement (http://www.nature.com/nature/journal/v461/n7261/full/461168a.html) for prepublication data sharing (Nature. 2009 461:168). The above groups reserve the first right to publish on the available B104 data including but not limited to whole-genome comparisons, genes, structural annotations, functional annotations, and genome-wide association studies. The group also reserves the right to the first opportunity to improve this sequence and its annotations for a full official genome release (version 1; anticipated release December 2017). Under the Toronto agreement, researchers can use the B104 sequence and annotation to study individual or small sets of genes and localized regions of the genome. Any redistribution of these data should include the full text of the data use policy.<br><br><br>Assembly Note: <br>The B104 genome was sequenced using Illumina paired end sequencing on HiSeq2000 at raw read coverage of 50X with read length of 101 bp and insert size 250 bp. Trimmed reads were assembled using a reference- guided assembly approach with B73 reference sequence (AGPv2 5b pseudo molecules). The reads were mapped to the B73 reference, consensus sequences were generated and gaps were filled. All paired end reads were mapped back to the gap-filled scaffolds to identify the regions with abnormal links and corresponding scaffolds were broken from those regions. Unmapped reads were assembled using a de novo approach and scaffolds were added to the final assembly.<br><br>B104 Gene Models:<br><br>B104 (beta) gene models were developed by the Lawrence-Dill Plant Informatics Lab in collaboration with MaizeGDB and Dow AgroSciences, and made available through www.maizegdb.org.<br><br>Genes were annotated using MAKER-P Pipeline, using both evidence-based approach (cDNA and EST data) and an ab initio approach. For evidence based prediction, transcriptome assemblies of diverse tissue types from B104 and other maize lines (B73, Miami white, Mo17, OH43, B97, W22, A188), full length cDNA sequences and annotated B73 proteins from NCBI, Arabidopsis thaliana, Oryza sativa japonica and other plant proteins from Uniprot were used. For ab initio predictions, AUGUSTUS and SNAP gene predictors were used. Gene models are named as recommended by the Maize Nomenclature Committee. <br>
DOI: 10.7910/dvn/v1rjpf/ntunva
title: blc20171224_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4042320
title: Geophysical, cognitive, and genetic determinants of fertility

description: This data set contains information on 155 countries, including geographic, climatologic, demographic, psychological, genetic and economic data.
DOI: 10.7910/dvn/v1rjpf/oqchb6
title: blc20170628_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4042320.v1
title: Geophysical, cognitive, and genetic determinants of fertility

description: This data set contains information on 155 countries, including geographic, climatologic, demographic, psychological, genetic and economic data.
DOI: 10.7910/dvn/v1rjpf/ui7zrp
title: blc20170903_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/nzxaga
title: blc20170418_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/wsykig
title: blc20170211_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/nxwqjs
title: blc20170316_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4040811
title: Bird distance-based dataset

description: This data set was taken in the grass-lot and wood-lot on the Northern Essex campus on Oct , 2016 at 9:30 am eastern pacific time. Distance-base method was used as the sampling technique for observing birds in these two environments. A transect was randomly selected in both environments each about equidistance from the beginning of a linear path located in each environment. Data was recorded a total of 5 times on each of the two environmentally differentiating transects and time spent sampling on each point on the transect was about 5 minutes each. The time spent observing was constant so that there was no bias variations in the number and type of birds observed. After each 5 minute interval, the birds were then identified based on their physical features and bird calls and recorded as well as the Beaufort number, distance on the transect, approximate distance from the individual along with the amount spotted and in which environment. This data taken enabled us to compare the number of birds versus the environmental conditions present when they were spotted.
DOI: 10.7910/dvn/v1rjpf/ehmg3j
title: blc20170430_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4040802
title: 2016_full_inf.tab

description: This dataset contains all of full text, full names and other metadata from ASHG 2016 Poster Presenters including their session and a predicted gender assigned based on their first name. <br><br>I claim absolutely no credit for generating any of the text within (and thank everyone who wrote abstracts for it)! I only claim credit for formatting this into a machine-readable file format. <br>
DOI: 10.7910/dvn/v1rjpf/h63ii9
title: blc20171106_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4040802.v1
title: 2016_full_inf.tab

description: This dataset contains all of full text, full names and other metadata from ASHG 2016 Poster Presenters including their session and a predicted gender assigned based on their first name. <br><br>I claim absolutely no credit for generating any of the text within (and thank everyone who wrote abstracts for it)! I only claim credit for formatting this into a machine-readable file format. <br>
DOI: 10.7910/dvn/v1rjpf/v4sybr
title: blc20170805_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4040700
title: Hepatitis B Virus (HBV) amino acid alignments and genotype-specific consensus sequences

description: Hepatitis B Virus (HBV) is the prototype human hepadnavirus. Unified reference sequences are important for informing phylogenetic analysis, studying variability within and between hosts, identifying sites of polymorphism/insertions/deletions and providing standardised sequence numbering. A variety of numbering systems have been employed, causing inconsistencies between different reports. This dataset provides a reference sequence for HBV (based on sequence data previously published by another group), along with aligned amino acid consensus sequences for genotypes A-F based on all available sequences on the HBV database, https://hbvdb.ibcp.fr (accessed October 2016). This resource has informed a parallel project to collate a systematic database of HLA Class I epitopes within HBV, ‘hepitopes’, (available on-line at http://www.expmedndm.ox.ac.uk/hepitopes), for which we required a unified approach to HBV sequence numbering.
DOI: 10.7910/dvn/v1rjpf/mfyw04
title: blc20171205_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/hutyuf
title: blc20170413_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4040607
title: MF_dataset

description: synthetic dataset used to test truth discovery models
DOI: 10.7910/dvn/v1rjpf/fhnfmg
title: blc20170228_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/yeq8fi
title: blc20170424_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4040607.v1
title: MF_dataset

description: synthetic dataset used to test truth discovery models
DOI: 10.6084/m9.figshare.4040616.v2
title: MMGeneSigIndex_0.13-2.tar.gz

description: R library for gene signature index calculation for myeloma data.<br>
DOI: 10.7910/dvn/v1rjpf/d8y0go
title: blc20170722_03.txt.gz

description: :unav
DOI: 10.17028/rd.lboro.4040589
title: Sentiment Analysis of the Presidential US Election 2016

description: This project entails a web-based interactive set of visualisations generated from advanced sentiment analysis over the US presidential elections 2016 from live social media (Twitter) data.
DOI: 10.7910/dvn/v1rjpf/fk25ql
title: blc20170303_03.txt.gz

description: :unav
DOI: 10.5258/soton/d1508
title: Dataset for: Optimal Control Applied to Plane Couette Flow: (Towards the) Full-Information State-Feedback Stabilization of the Nagata Lower-Branch

description: Database associated to PhD Thesis: Optimal Control Applied to Plane Couette Flow: (Towards the) Full-Information State-Feedback Stabilization of the Nagata Lower-Branch. Geoffroy CLAISSE Dataset zip with 7-zip into 4Gb size chunks. Select all parts (001 to 008) and extract with 7-zip.
DOI: 10.6084/m9.figshare.4040580
title: Supplementary Material for: Relationship between Anemia and Serum Concentrations of Calcium and Phosphorus in Advanced Non-Dialysis-Dependent Chronic Kidney Disease

description: <b><i>Background/Aims:</i></b> Different biochemical abnormalities of metabolic bone disease have been associated with anemia of chronic kidney disease (CKD), mainly in hemodialysis patients. However, all of these abnormalities are closely inter-related and their individual effect on the development of anemia is uncertain. This study was aimed to assess the relationship between anemia and a set of metabolic bone disease biomarkers in a cohort of adult patients with advanced non-dialysis-dependent CKD. <b><i>Methods:</i></b> The sample consisted of 382 patients submitted to a Nephrology Unit for evaluation of advanced CKD in a tertiary hospital from Gran Canaria during 3 years. Associations between anemia and serum levels of calcium (albumin-corrected), phosphorus, PTH, 25-hydroxivitamin D (25(OH)D<sub>3</sub>) and alkaline phosphatase were analyzed by using logistic regression models with adjustment for other demographic, clinical and biochemical covariates potentially related to anemia and to bone mineral metabolism. <b><i>Results:</i></b> Serum levels of calcium and 25(OH)D<sub>3</sub> (negatively) and phosphorus (positively) were significantly associated with anemia in an unadjusted logistic regression model. In a fully adjusted multivariable model, the OR for anemia was 0.29 (95% CI 0.16-0.49; p &lt; 0.0001) for every 1 mg/dl increase in serum calcium and 2.19 (95% CI 1.55-3.15; p &lt; 0.001) for every 1 mg/dl increase in serum phosphorus. Female sex and lower serum albumin levels were also independently associated with anemia. The inclusion of albumin in the adjusted model displaced the significance of 25(OH)D<sub>3</sub>. <b><i>Conclusions:</i></b> Circulating levels of calcium and phosphorus are strongly linked to anemia in patients with advanced non-dialysis CKD.
DOI: 10.7910/dvn/v1rjpf/shzdsu
title: blc20170730_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4040580.v1
title: Supplementary Material for: Relationship between Anemia and Serum Concentrations of Calcium and Phosphorus in Advanced Non-Dialysis-Dependent Chronic Kidney Disease

description: <b><i>Background/Aims:</i></b> Different biochemical abnormalities of metabolic bone disease have been associated with anemia of chronic kidney disease (CKD), mainly in hemodialysis patients. However, all of these abnormalities are closely inter-related and their individual effect on the development of anemia is uncertain. This study was aimed to assess the relationship between anemia and a set of metabolic bone disease biomarkers in a cohort of adult patients with advanced non-dialysis-dependent CKD. <b><i>Methods:</i></b> The sample consisted of 382 patients submitted to a Nephrology Unit for evaluation of advanced CKD in a tertiary hospital from Gran Canaria during 3 years. Associations between anemia and serum levels of calcium (albumin-corrected), phosphorus, PTH, 25-hydroxivitamin D (25(OH)D<sub>3</sub>) and alkaline phosphatase were analyzed by using logistic regression models with adjustment for other demographic, clinical and biochemical covariates potentially related to anemia and to bone mineral metabolism. <b><i>Results:</i></b> Serum levels of calcium and 25(OH)D<sub>3</sub> (negatively) and phosphorus (positively) were significantly associated with anemia in an unadjusted logistic regression model. In a fully adjusted multivariable model, the OR for anemia was 0.29 (95% CI 0.16-0.49; p &lt; 0.0001) for every 1 mg/dl increase in serum calcium and 2.19 (95% CI 1.55-3.15; p &lt; 0.001) for every 1 mg/dl increase in serum phosphorus. Female sex and lower serum albumin levels were also independently associated with anemia. The inclusion of albumin in the adjusted model displaced the significance of 25(OH)D<sub>3</sub>. <b><i>Conclusions:</i></b> Circulating levels of calcium and phosphorus are strongly linked to anemia in patients with advanced non-dialysis CKD.
DOI: 10.7910/dvn/v1rjpf/fuefkr
title: blc20170221_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/d3sagl
title: blc20170726_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/34gws9
title: blc20170831_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/gh9wok
title: blc20170906_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/mungio
title: blc20170123_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/whxp1y
title: blc20171110_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/w16yyt
title: blc20170322_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/8rgnbf
title: blc20170203_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/oirhzz
title: blc20170613_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/stzzvl
title: blc20170127_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4040436
title: Taxi

description: <br>The beginning and ending point of taxis in Beijing
DOI: 10.6084/m9.figshare.4040436.v1
title: Taxi

description: <br>The beginning and ending point of taxis in Beijing
DOI: 10.7910/dvn/v1rjpf/m7khnn
title: blc20171221_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/mbyto5
title: blc20171128_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/irhjvm
title: blc20170828_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/j9gumn
title: blc20171014_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/7nxriv
title: blc20171027_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4040409
title: Summaries of open access data by year

description: Summaries using combination of open access data sources:1) Lantern2) Directory of Open Access Journals (DOAJ)3) Sherpa RoMEO/Sherpa REF<br>These summaries provided insights into green and gold open access trends at the institution over time
DOI: 10.6084/m9.figshare.4040409.v1
title: Summaries of open access data by year

description: Summaries using combination of open access data sources:1) Lantern2) Directory of Open Access Journals (DOAJ)3) Sherpa RoMEO/Sherpa REF<br>These summaries provided insights into green and gold open access trends at the institution over time
DOI: 10.7910/dvn/v1rjpf/ospthw
title: blc20170721_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4040403
title: avepurrevwork61.txt

description: <br>Track information of taxis in Beijing
DOI: 10.7910/dvn/v1rjpf/tgu53i
title: blc20170404_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4040403.v1
title: avepurrevwork61.txt

description: <br>Track information of taxis in Beijing
DOI: 10.6084/m9.figshare.4040397
title: BUL Published outputs and open access data sources (2006-2016)

description: Data comprising:1) publication DOIs between and held in Brunel's Symplectic Elements instance2) Results from the Lantern data service3) Results from the CORE data service (passing DOIs and titles to the API)4) From publication ISSN, Sherpa REF results which allow accepted/published manuscripts to be self-archived5) From publication ISSN, Sherpa RoMEO results which allow accepted/published manuscripts to be self-archived6) Analysis fields
DOI: 10.7910/dvn/v1rjpf/6tnaev
title: blc20171019_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4040397.v2
title: BUL Published outputs and open access data sources (2006-2016)

description: Data comprising:1) publication DOIs between and held in Brunel's Symplectic Elements instance2) Results from the Lantern data service3) Results from the CORE data service (passing DOIs and titles to the API)4) From publication ISSN, Sherpa REF results which allow accepted/published manuscripts to be self-archived5) From publication ISSN, Sherpa RoMEO results which allow accepted/published manuscripts to be self-archived6) Analysis fields
DOI: 10.6084/m9.figshare.4040397.v1
title: Brunel published outputs and open access data sources

description: Data comprising:1) publication DOIs between and held in Brunel's Symplectic Elements instance2) Results from the Lantern data service3) Results from the CORE data service (passing DOIs and titles to the API)4) From publication ISSN, Sherpa REF results which allow accepted/published manuscripts to be self-archived5) From publication ISSN, Sherpa RoMEO results which allow accepted/published manuscripts to be self-archived6) Analysis fields
DOI: 10.7910/dvn/v1rjpf/6zjtbx
title: blc20170714_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/wjfr39
title: blc20170524_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/yusyyx
title: blc20170517_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/o6rmff
title: blc20171015_03.txt.gz

description: :unav
DOI: 10.7910/dvn/s1594s/wq8yrp
title: analysis.R

description: Performs the analysis.
DOI: 10.7910/dvn/v1rjpf/m98hfe
title: blc20170113_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/2jhdmn
title: blc20170308_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.4040325
title: Analogue-based demand forecasting of short life-cycle products: a regression approach and a comprehensive assessment

description: In several industries, global competition, increasing customer expectations and technological innovations tend to accelerate product life-cycles. In this changing environment, traditional forecasting methods tend to be ineffective as a consequence of the transient and highly uncertain demand of short life-cycle products (SLCP), and the scarcity of sales data. To address this challenge, we present a methodology to forecast SLCP demand using time series of similar products referred to as analogies. Linear regression and clustering techniques are used for the selection and weighting of suitable analogies. The proposed methodology is tested against seven analogue-based forecasting methods, including two implementations of non-linear regression methods. In different sets of time series, our methodology attained more accurate forecasts with short processing times compared with state-of-the-art methods. Such results reveal promising applications of combined regression and clustering techniques as simple and effective forecasting tools for supporting replenishment decisions for SLCP.
DOI: 10.7910/dvn/s1594s/qzpfus
title: log-file-analysis.pdf

description: Contains the R code and output of analysis.R
DOI: 10.6084/m9.figshare.4040325.v1
title: Analogue-based demand forecasting of short life-cycle products: a regression approach and a comprehensive assessment

description: In several industries, global competition, increasing customer expectations and technological innovations tend to accelerate product life-cycles. In this changing environment, traditional forecasting methods tend to be ineffective as a consequence of the transient and highly uncertain demand of short life-cycle products (SLCP), and the scarcity of sales data. To address this challenge, we present a methodology to forecast SLCP demand using time series of similar products referred to as analogies. Linear regression and clustering techniques are used for the selection and weighting of suitable analogies. The proposed methodology is tested against seven analogue-based forecasting methods, including two implementations of non-linear regression methods. In different sets of time series, our methodology attained more accurate forecasts with short processing times compared with state-of-the-art methods. Such results reveal promising applications of combined regression and clustering techniques as simple and effective forecasting tools for supporting replenishment decisions for SLCP.
DOI: 10.6084/m9.figshare.4040304
title: Pearson correlation coefficients of multi brain EEG

description: This data set contains 777924 correlation coefficients calculated from 63-channel EEG signals recorded on the scalp of 14 individuals.<br>Each line corresponds to one matrix element as:<br>Row, Column, Pearson Correlation Coefficient.