cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9104996
title: The gut microbiome derived from anorexia nervosa patients impairs weight gain and behavioral performance in mice

description: Supplementary Table
DOI: 10.6084/m9.figshare.9104978
title: (HGE)AliKazemiScores_Mean.xlsx

description: This data includes more detailed information about HGE project.
DOI: 10.6084/m9.figshare.9104978.v1
title: (HGE)AliKazemiScores_Mean.xlsx

description: This data includes more detailed information about HGE project.
DOI: 10.6084/m9.figshare.9104996.v1
title: Supplementary table 1.pdf

description: Supplementary Table
DOI: 10.6084/m9.figshare.9104996.v2
title: Supplementary table.pdf

description: Supplementary Table
DOI: 10.6084/m9.figshare.9104996.v3
title: The gut microbiome derived from anorexia nervosa patients impairs weight gain and behavioral performance in mice

description: Supplementary Table
DOI: 10.6084/m9.figshare.9104918
title: Derivation and internal validation of a data-driven prediction model to guide frontline health workers in triaging children under-five in Nairobi, Kenya

description: Dataset
DOI: 10.6084/m9.figshare.9104918.v1
title: Derivation and internal validation of a data-driven prediction model to guide frontline health workers in triaging children under-five in Nairobi, Kenya

description: Dataset
DOI: 10.6084/m9.figshare.9104894
title: Underlying data (3) on the study titled 'Acute and sub-acute toxicity study of the root extracts of Fagaropsis hildebrandtii in mice and evaluation of their antimicrobial effects'

description: This dataset contains the following:<br>1. Data on the hematological and biochemical parameters of mice in the sub-acute toxicity protocol<br>
DOI: 10.6084/m9.figshare.9104876
title: Tree-for-three-rumen-ciliates-FigShare.rar

description: README.txtFiles Description1) MRO-gene-trees:Phylogenetic trees of putative MRO genes of three rumen ciliates. For each gene, the homologs were obtained as described in the main text, and then tree was <br>reconstructed by using FastTree (2.1.10) and saved in phyloxml format. The trees were named in “*.phyloxml”. On the tree, tips were annotated with an in house perl script. The trees of the three rumen ciliates were saved into three separate file folders: a) Entodinium furca-MRO, FastTree output tree in phyloxml formatb) Diplodinium dentatum-MRO, FastTree output tree in phyloxml formatc) Isotricha intestinalis-MRO, FastTree output tree in phyloxml format<br>2) HGT-gene-trees: Phylogeneitc trees of characterized horizontal transferred gene of three rumen ciliates. Tree was constructed by using FastTree (2.1.10)and PhyML, and saved in newick format. The trees were named in “*.nwk”.The trees of the three rumen ciliates were saved into three separate file folders, which include two subfolders(FasTree-tree and PhyML-tree):a) Efurca-HGT-NWKb) Ddentatum-HGT-NWKc) Iintestinalis-HGT-NWK<br>
DOI: 10.6084/m9.figshare.9104894.v1
title: Underlying data (3) on the study titled 'Acute and sub-acute toxicity study of the root extracts of Fagaropsis hildebrandtii in mice and evaluation of their antimicrobial effects'

description: This dataset contains the following:<br>1. Data on the hematological and biochemical parameters of mice in the sub-acute toxicity protocol<br>
DOI: 10.6084/m9.figshare.9104876.v2
title: Tree-for-three-rumen-ciliates-FigShare.rar

description: README.txtFiles Description1) MRO-gene-trees:Phylogenetic trees of putative MRO genes of three rumen ciliates. For each gene, the homologs were obtained as described in the main text, and then tree was <br>reconstructed by using FastTree (2.1.10) and saved in phyloxml format. The trees were named in “*.phyloxml”. On the tree, tips were annotated with an in house perl script. The trees of the three rumen ciliates were saved into three separate file folders: a) Entodinium furca-MRO, FastTree output tree in phyloxml formatb) Diplodinium dentatum-MRO, FastTree output tree in phyloxml formatc) Isotricha intestinalis-MRO, FastTree output tree in phyloxml format<br>2) HGT-gene-trees: Phylogeneitc trees of characterized horizontal transferred gene of three rumen ciliates. Tree was constructed by using FastTree (2.1.10)and PhyML, and saved in newick format. The trees were named in “*.nwk”.The trees of the three rumen ciliates were saved into three separate file folders, which include two subfolders(FasTree-tree and PhyML-tree):a) Efurca-HGT-NWKb) Ddentatum-HGT-NWKc) Iintestinalis-HGT-NWK<br>
DOI: 10.17637/rh.9104864
title: Hawaii LVL rock physics inversion data

description: This data set contains results of rock physics inversion of seismic P-to-S conversion data for the Low Velocity Layer at a depth of 375 km beneath Hawaii.<br>
DOI: 10.6084/m9.figshare.9104876.v1
title: Tree-for-three-rumen-ciliates-FigShare.rar

description: README.txtFiles Description1) MRO-gene-trees:Phylogenetic trees of putative MRO genes of three rumen ciliates. For each gene, the homologs were obtained as described in the main text, and then tree was <br>reconstructed by using FastTree (2.1.10) and saved in phyloxml format. The trees were named in “*.phyloxml”. On the tree, tips were annotated with an in house perl script. The trees of the three rumen ciliates were saved into three separate file folders: a) Entodinium furca-MRO, FastTree output tree in phyloxml formatb) Diplodinium dentatum-MRO, FastTree output tree in phyloxml formatc) Isotricha intestinalis-MRO, FastTree output tree in phyloxml format<br>2) HGT-gene-trees: Phylogeneitc trees of characterized horizontal transferred gene of three rumen ciliates. Tree was constructed by using FastTree (2.1.10)and PhyML, and saved in newick format. The trees were named in “*.nwk”.The trees of the three rumen ciliates were saved into three separate file folders, which include two subfolders(FasTree-tree and PhyML-tree):a) Efurca-HGT-NWKb) Ddentatum-HGT-NWKc) Iintestinalis-HGT-NWK<br>
DOI: 10.17637/rh.9104864.v1
title: Hawaii LVL rock physics inversion data

description: This data set contains results of rock physics inversion of seismic P-to-S conversion data for the Low Velocity Layer at a depth of 375 km beneath Hawaii.<br>
DOI: 10.6084/m9.figshare.9104849
title: Numerical codes from Regularization of the Ostwald supersaturation model for Liesegang bands

description: Zip file of codes used
DOI: 10.6084/m9.figshare.9104849.v1
title: Numerical codes from Regularization of the Ostwald supersaturation model for Liesegang bands

description: Zip file of codes used
DOI: 10.6084/m9.figshare.9104666
title: PRDM14-AID Venus / TIR1-DD ESCs immunofluorescence raw images

description: Primary antibodies used are listed in Supplemental Table 2. Imaging was performed with an SP5 confocal laser scanning microscope (Leica)<sup></sup>
DOI: 10.6084/m9.figshare.9104504
title: SOX15-Venus / SOX17 / myc-TIR1 immunofluorescence SOX15-AID PGCLCs raw images

description: Primary antibodies used are listed in Supplemental Table 2. Imaging was performed with an SP5 confocal laser scanning microscope (Leica)<sup></sup>
DOI: 10.6084/m9.figshare.9104504.v2
title: SOX15-Venus / SOX17 / myc-TIR1 immunofluorescence SOX15-AID PGCLCs raw images

description: Primary antibodies used are listed in Supplemental Table 2. Imaging was performed with an SP5 confocal laser scanning microscope (Leica)<sup></sup>
DOI: 10.6084/m9.figshare.9104666.v2
title: PRDM14-AID Venus / TIR1-DD ESCs immunofluorescence raw images

description: Primary antibodies used are listed in Supplemental Table 2. Imaging was performed with an SP5 confocal laser scanning microscope (Leica)<sup></sup>
DOI: 10.6084/m9.figshare.9104495
title: myc-SOX15-DD immunofluorescence ESCs raw images

description: Primary antibodies used are listed in Supplemental Table 2. Imaging was performed with an SP5 confocal laser scanning microscope (Leica)<sup></sup>
DOI: 10.6084/m9.figshare.9104504.v1
title: SOX15-Venus / SOX17 / myc-TIR1 immunofluorescence SOX15-AID PGCLCs raw images

description: Primary antibodies used are listed in Supplemental Table 2. Imaging was performed with an SP5 confocal laser scanning microscope (Leica)<sup></sup>
DOI: 10.6084/m9.figshare.9104483
title: Supplementary Tables S3

description: Supplementary Tables S3<br>
DOI: 10.6084/m9.figshare.9104666.v1
title: PRDM14-Venus / TIR1-V5-DD immunofluorescence PRDM14-AID ESCs raw images

description: Primary antibodies used are listed in Supplemental Table 2. Imaging was performed with an SP5 confocal laser scanning microscope (Leica)<sup></sup>
DOI: 10.6084/m9.figshare.9104480
title: Underlying data (2) on the study 'Acute and sub-acute toxicity study of the root extracts of Fagaropsis hildebrandtii in mice and evaluation of their antimicrobial effects'

description: This data represents:<br>1. Data on the mean body weight of mice in the sub-acute toxicity protocol<br>2. Data on the feed and water consumption in mice in the sub-acute toxicity protocol<br>3. Data on the relative mean organ weight of mice in the sub-acute toxicity protocol<br>
DOI: 10.6084/m9.figshare.9104495.v2
title: myc-SOX15-DD immunofluorescence ESCs raw images

description: Primary antibodies used are listed in Supplemental Table 2. Imaging was performed with an SP5 confocal laser scanning microscope (Leica)<sup></sup>
DOI: 10.6084/m9.figshare.9104495.v1
title: myc-SOX15-DD immunofluorescence ESCs raw images

description: Primary antibodies used are listed in Supplemental Table 2. Imaging was performed with an SP5 confocal laser scanning microscope (Leica)<sup></sup>
DOI: 10.6084/m9.figshare.9104480.v1
title: Underlying data (2) on the study 'Acute and sub-acute toxicity study of the root extracts of Fagaropsis hildebrandtii in mice and evaluation of their antimicrobial effects'

description: This data represents:<br>1. Data on the haematological parameters in mice in the sub-acute toxicity protocol<br>2. Data on the biochemical parameters in mice in the sub-acute toxicity protocol<br>
DOI: 10.6084/m9.figshare.9104483.v1
title: Supplementary Tables S3

description: Supplementary Tables S3<br>
DOI: 10.6084/m9.figshare.9104471
title: myc-SOX15-DD / SOX17 immunofluorescence PGCLCs raw images

description: Primary antibodies used are listed in Supplemental Table 2. Imaging was performed with an SP5 confocal laser scanning microscope (Leica)<sup></sup>
DOI: 10.6084/m9.figshare.9104435
title: SOX15-Venus / OCT4 / BLIMP1 timecourse immunofluorescence raw images

description: Immunofluorescence for SOX15-Venus, OCT4, and BLIMP1 on days 1 – 6 of PGCLC specification<br> Primary antibodies used are listed in Supplemental Table 2. Imaging was performed with an SP5 confocal laser scanning microscope (Leica)<sup></sup>
DOI: 10.6084/m9.figshare.9104471.v2
title: myc-SOX15-DD / SOX17 immunofluorescence PGCLCs raw images

description: Primary antibodies used are listed in Supplemental Table 2. Imaging was performed with an SP5 confocal laser scanning microscope (Leica)<sup></sup>
DOI: 10.6084/m9.figshare.9104480.v2
title: Underlying data (2) on the study 'Acute and sub-acute toxicity study of the root extracts of Fagaropsis hildebrandtii in mice and evaluation of their antimicrobial effects'

description: This data represents:<br>1. Data on the mean body weight of mice in the sub-acute toxicity protocol<br>2. Data on the feed and water consumption in mice in the sub-acute toxicity protocol<br>3. Data on the relative mean organ weight of mice in the sub-acute toxicity protocol<br>
DOI: 10.6084/m9.figshare.9104483.v2
title: Supplementary Tables S3

description: Supplementary Tables S3<br>
DOI: 10.6084/m9.figshare.9104471.v1
title: myc-SOX15-DD / SOX17 immunofluorescence PGCLCs raw images

description: Primary antibodies used are listed in Supplemental Table 2. Imaging was performed with an SP5 confocal laser scanning microscope (Leica)<sup></sup>
DOI: 10.6084/m9.figshare.9104483.v4
title: Supplementary Tables S3

description: Supplementary Tables S3<br>
DOI: 10.6084/m9.figshare.9104435.v2
title: SOX15-Venus / OCT4 / BLIMP1 timecourse immunofluorescence raw images

description: Immunofluorescence for SOX15-Venus, OCT4, and BLIMP1 on days 1 – 6 of PGCLC specification<br> Primary antibodies used are listed in Supplemental Table 2. Imaging was performed with an SP5 confocal laser scanning microscope (Leica)<sup></sup>
DOI: 10.6084/m9.figshare.9104483.v3
title: Supplementary Tables S3

description: Supplementary Tables S3<br>
DOI: 10.6084/m9.figshare.9104435.v1
title: SOX15-Venus / OCT4 / BLIMP1 timecourse immunofluorescence raw images

description: Immunofluorescence for SOX15-Venus, OCT4, and BLIMP1 on days 1 – 6 of PGCLC specification<br> Primary antibodies used are listed in Supplemental Table 2. Imaging was performed with an SP5 confocal laser scanning microscope (Leica)<sup></sup>
DOI: 10.6084/m9.figshare.9101993
title: Data from: The past, present and future of cleaner fish cognitive performance as a function of CO2 levels

description: Data and code from: The past, present and future of cleaner fish cognitive performance as a function of CO2 levels
DOI: 10.6084/m9.figshare.9101231
title: Underlying data (1) on the study titled 'Acute and sub-acute toxicity study of the root extracts of Fagaropsis hildebrandtii in mice and evaluation of their antimicrobial effects'

description: This data represents:<br>1. Data on the mean body weight of mice in the acute toxicity protocol<br>2. Data on the feed and water consumption in mice in the acute toxicity study<br>3. Data on the relative mean organ weight of mice in the acute toxicity protocol<br>
DOI: 10.6084/m9.figshare.9101231.v2
title: Underlying data (1) on the study titled 'Acute and sub-acute toxicity study of the root extracts of Fagaropsis hildebrandtii in mice and evaluation of their antimicrobial effects'

description: This data represents:<br>1. Data on the mean body weight of mice in the acute toxicity protocol<br>2. Data on the feed and water consumption in mice in the acute toxicity study<br>3. Data on the relative mean organ weight of mice in the acute toxicity protocol<br>
DOI: 10.6084/m9.figshare.9101231.v1
title: Underlying data (1) on the study titled 'Acute and sub-acute toxicity study of the root extracts of Fagaropsis hildebrandtii in mice and evaluation of their antimicrobial effects'

description: This data represents:<br>1. Data on the mean body weight of mice in the acute toxicity protocol<br>2. Data on the feed and water consumption in mice in the acute toxicity study<br>3. Data on the relative mean organ weight of mice in the acute toxicity protocol<br>
DOI: 10.6084/m9.figshare.9097307
title: Fig. 2a - Analysis mono Zika.pzfx

description: Zika virus infection of monocytes. BBB.
DOI: 10.6084/m9.figshare.9094742
title: Walking&Visual processing

description: Original data for the report'Walking enhances peripheral visual processing in humans'<br>
DOI: 10.6084/m9.figshare.9094742.v1
title: Walking&Visual processing

description: Original data for the report'Walking enhances peripheral visual processing in humans'<br>
DOI: 10.6084/m9.figshare.9092045
title: Autoencoder trained on transcriptomic signals

description: (A) Microarray normalised gene expression data used in reverse training to define the disease modules: MicroarrayDataForDiseaseGene.zip<br><br>(B) 3 layer with 512 nodes in first, second and third layer deep autoencoder trained on the 20K microarray data samples: MicroarrayDeep512_512_512_AE20K.h5<br>(C) 3 layer with 256 nodes in first, second and third layer deep autoencoder trained on the 20K microarray data samples: MicroarrayDeep256_256_256_AE20K.h5<br>(D) 3 layer with 1024 nodes in first, second and third layer deep autoencoder trained on the 20K microarray data samples: MicroarrayDeep1024_1024_1024_AE20K.h5<br>(E) 1 layer shallow autoencoder trained on the 20K microarray data samples: MicroarrayShallow512AE20K.h5<br>(F) 3 layer sparsified deep autoencoder trained on the 20K micro-array data samples: MicroarrayDeep512_512_512_AE_Regularised20K.h5<br>(G) 3 layer denoised deep autoencoder trained on 20K micro-array data samples: MicroarrayDeep512_512_512_AE_Denoised20K.h5<br>(H) 5 layer funnel shaped deep autoencoder trained on 20K microarray data samples: MicroarrayDeep512_256_128_256_512_AE20K.h5<br>(I) 3 layer funnel shaped deep autoencoder trained on 20K microarray data samples: MicroarrayDeep512_128_512_AE20K.h5<br>(J) RNA seq normalised gene expression data used in reverse training to define the disease modules: RNAseqDataForDiseaseGene.zip<br><br>(K) 3 layer deep autoencoder trained on the 50K samples: RNAseqDeep512_512_512_AE50K.h5<br><br>(L) 3 layer deep autoencoder trained on the 20K samples as a first realisation: RNAseqDeep512_512_512_AE20K1.h5<br><br>(M) 3 layer deep autoencoder trained on the 20K samples as a second realisation: RNAseqDeep512_512_512_AE20K2.h5<br><br>(N) 3 layer deep autoencoder trained on the 20K samples as a third realisation: RNAseqDeep512_512_512_AE20K3.h5
DOI: 10.6084/m9.figshare.9092426.v1
title: A biography and obituary of W.H. Eberhard Schulz (1931–2017)

description: This is a biography and obituary of the German Democratic Republic palynologist Dr Eberhard Schulz (1931–2017). A pioneer in Mesozoic palynology, he established, together with other important palynologists of that time, the basis of today’s palynological research, especially in the Triassic and Jurassic of Eastern Germany. His comprehensive range charts, numerous new type descriptions, and beautiful and informative illustrations were and still are a valuable contribution to our field. In addition, his professional life and heritage not only illustrate an important period of advances in palynology during the 1950s to 1970s, but also give us an insight in German history, and the restrictions and challenges that scientists faced in the German Democratic Republic.
DOI: 10.6084/m9.figshare.9092045.v1
title: Autoencoder trained on transcriptomic signals

description: (A) Microarray normalised gene expression data used in reverse training to define the disease modules: MicroarrayDataForDiseaseGene.zip<br><br>(B) 3 layer deep autoencoder trained on the 20K microarray data samples: MicroarrayDeep512_512_512_AE20K.h5<br>(C) 3 layer sparsified deep autoencoder trained on the 20K micro-array data samples: MicroarrayDeep512_512_512_AE_Regularised20K.h5<br>(D) 3 layer denoised deep autoencoder trained on 20K micro-array data samples: MicroarrayDeep512_512_512_AE_Denoised20K.h5<br>(E) 5 layer funnel shaped deep autoencoder trained on 20K microarray data samples: MicroarrayDeep512_256_128_256_512_AE20K.h5<br>(F) 3 layer funnel shaped deep autoencoder trained on 20K microarray data samples: MicroarrayDeep512_128_512_AE20K.h5<br>(G) RNA seq normalised gene expression data used in reverse training to define the disease modules: RNAseqDataForDiseaseGene.zip<br><br>(H) 3 layer deep autoencoder trained on the 50K samples: RNAseqDeep512_512_512_AE50K.h5<br><br>(I) 3 layer deep autoencoder trained on the 20K samples as a first realisation: RNAseqDeep512_512_512_AE20K1.h5<br><br>(J) 3 layer deep autoencoder trained on the 20K samples as a second realisation: RNAseqDeep512_512_512_AE20K2.h5<br><br>(K) 3 layer deep autoencoder trained on the 20K samples as a third realisation: RNAseqDeep512_512_512_AE20K3.h5
DOI: 10.6084/m9.figshare.9092045.v2
title: Autoencoder trained on transcriptomic signals

description: (A) Microarray normalised gene expression data used in reverse training to define the disease modules: MicroarrayDataForDiseaseGene.zip<br><br>(B) 3 layer deep autoencoder trained on the 20K microarray data samples: MicroarrayDeep512_512_512_AE20K.h5<br>(C) 1 layer shallow autoencoder trained on the 20K microarray data samples: MicroarrayShallow512AE20K.h5<br>(D) 3 layer sparsified deep autoencoder trained on the 20K micro-array data samples: MicroarrayDeep512_512_512_AE_Regularised20K.h5<br>(E) 3 layer denoised deep autoencoder trained on 20K micro-array data samples: MicroarrayDeep512_512_512_AE_Denoised20K.h5<br>(F) 5 layer funnel shaped deep autoencoder trained on 20K microarray data samples: MicroarrayDeep512_256_128_256_512_AE20K.h5<br>(G) 3 layer funnel shaped deep autoencoder trained on 20K microarray data samples: MicroarrayDeep512_128_512_AE20K.h5<br>(H) RNA seq normalised gene expression data used in reverse training to define the disease modules: RNAseqDataForDiseaseGene.zip<br><br>(I) 3 layer deep autoencoder trained on the 50K samples: RNAseqDeep512_512_512_AE50K.h5<br><br>(J) 3 layer deep autoencoder trained on the 20K samples as a first realisation: RNAseqDeep512_512_512_AE20K1.h5<br><br>(K) 3 layer deep autoencoder trained on the 20K samples as a second realisation: RNAseqDeep512_512_512_AE20K2.h5<br><br>(L) 3 layer deep autoencoder trained on the 20K samples as a third realisation: RNAseqDeep512_512_512_AE20K3.h5
DOI: 10.6084/m9.figshare.9089522
title: Supplementary Table S3.1

description: Supplementary Table S3.1
DOI: 10.6084/m9.figshare.9089522.v1
title: Supplementary Table S3.1

description: Supplementary Table S3.1
DOI: 10.6084/m9.figshare.9085763
title: Data for "Freezing rain events related to atmospheric rivers and associated mechanisms for western North America"

description: The data provided here are atmospheric rivers (AR) characteristics (yearly distributions of mean IVT and AR frequency during September–April) identified in the NCEP North American Regional Reanalysis (30-km) and CRCM5 simulations (0.44 degree) for the present (1976-2005) and future (2070-2099) climate. The freezing rain (FR) characteristics (e.g. fraction of AR-related FR events relative to the total FR events during September–April) and the environmental fields (the 925-2m thermal stratification and the ascent contributed by the differential vorticity advection) associated with AR-related FR are also provided.The data is provided in python .pckl format. The example code for reading each of the provided .pckl files is given in Readme.txt.
DOI: 10.6084/m9.figshare.9083936
title: TestData.tar

description: This test data archive contains OMICS datasets (DNAseq, RNAseq, microarrays) for the manual testing of the TIMS (Translational Informatics Management System) software.<br>
DOI: 10.6084/m9.figshare.9085763.v1
title: Data for "Freezing rain events related to atmospheric rivers and associated mechanisms for western North America"

description: The data provided here are atmospheric rivers (AR) characteristics (yearly distributions of mean IVT and AR frequency during September–April) identified in the NCEP North American Regional Reanalysis (30-km) and CRCM5 simulations (0.44 degree) for the present (1976-2005) and future (2070-2099) climate. The freezing rain (FR) characteristics (e.g. fraction of AR-related FR events relative to the total FR events during September–April) and the environmental fields (the 925-2m thermal stratification and the ascent contributed by the differential vorticity advection) associated with AR-related FR are also provided.The data is provided in python .pckl format. The example code for reading each of the provided .pckl files is given in Readme.txt.