cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12462131
title: Significant statements and meanings made.

description: Transcripts of the significant statements, meanings formulated and clusters that emerged with social entrepreneurship professors and entrepreneurial university students.
DOI: 10.25377/sussex.12462152.v1
title: Data for research article 'Multimodal influences on learning walks in desert ants (Cataglyphis fortis)'

description: <b>Data for paper published in the Journal of Comparative Physiology A (published June 2020).</b><br>Data contains paths from recorded ants during the experiments. Files can be opened with TextEdit (on a Macintosh) or WordPad (Windows).For details please see the README.txt and view the experiment methods in the published paper. <br><b>Abstract:</b>Ants are excellent navigators using multimodal information for navigation. To accurately localise the nest at the end of a foraging journey, visual cues, wind direction and also olfactory cues need to be learnt. Learning walks are performed at the start of an ant’s foraging career or when the appearance of the nest surrounding has changed. We investigated here whether the structure of such learning walks in the desert ant <i>Cataglyphis fortis</i> takes into account wind direction in conjunction with the learning of new visual information. Ants learnt to travel back and forth between their nest and a feeder, and we then introduced a black cylinder near their nest to induce learning walks in regular foragers. By doing this across days with different wind directions, we were able to probe how ants balance different sensory modalities. We found that (1) the ants’ outwards headings are influenced by the wind direction with their routes deflected such that they will arrive downwind of their target, (2) a novel object along the route induces learning walks in experienced ants and (3) the structure of learning walks is shaped by the wind direction rather than the position of the visual cue.
DOI: 10.6084/m9.figshare.12462128
title: H3K27ac Signal Track for HT-1197, HepG2, and MSFIB

description: Genome-wide signal tracks for each sample were generated in two stages: (i) assess ChIP–seq quality and obtain the predominant fragment length using phantompeakqualtools (https://code.google.com/archive/p/phantompeakqualtools/); (ii) use align2rawsignal (https://code.google.com/archive/p/align2rawsignal/wikis/Method.wiki) to generate signal track (parameters: -n = 5, -k = epanechnikov, -l = [frag-ment length from step (i)], -w = 150, -f = 0).
DOI: 10.6084/m9.figshare.12462107
title: Monitoring and Graphing/Graphs, Tables

description: Excel data for weekly composites of graphs plotted daily during activities of a Parkinson's patient<br>Tables of medications and Fluctuations' Gradients in Word<br>
DOI: 10.6084/m9.figshare.12462128.v1
title: H3K27ac Signal Track for HT-1197, HepG2, and MSFIB

description: Genome-wide signal tracks for each sample were generated in two stages: (i) assess ChIP–seq quality and obtain the predominant fragment length using phantompeakqualtools (https://code.google.com/archive/p/phantompeakqualtools/); (ii) use align2rawsignal (https://code.google.com/archive/p/align2rawsignal/wikis/Method.wiki) to generate signal track (parameters: -n = 5, -k = epanechnikov, -l = [frag-ment length from step (i)], -w = 150, -f = 0).
DOI: 10.6084/m9.figshare.12462095
title: JARVIS-DFT Finite Difference Elastic Constants (JVASP-40909 to JVASP-48312)

description: Contains input/output files for finite difference method based elastic calculations in the JARVIS-DFT.
DOI: 10.6084/m9.figshare.12462101
title: JARVIS-DFT Finite Difference Elastic Constants (JVASP-53265 to JVASP-60609)

description: Contains input/output files for finite difference method based elastic calculations in the JARVIS-DFT.
DOI: 10.6084/m9.figshare.12462092
title: JARVIS-DFT Finite Difference Elastic Constants (JVASP-37067 to JVASP-38845)

description: Contains input/output files for finite difference method based elastic calculations in the JARVIS-DFT.
DOI: 10.6084/m9.figshare.12462098
title: JARVIS-DFT Finite Difference Elastic Constants (JVASP-48321 to JVASP-53253)

description: Contains input/output files for finite difference method based elastic calculations in the JARVIS-DFT.
DOI: 10.6084/m9.figshare.12462107.v1
title: Monitoring and Graphing/Graphs, Tables

description: Excel data for weekly composites of graphs plotted daily during activities of a Parkinson's patient<br>Tables of medications and Fluctuations' Gradients in Word<br>
DOI: 10.6084/m9.figshare.12462089
title: JARVIS-DFT Finite Difference Elastic Constants (JVASP-18871 to JVASP-7952)

description: Contains input/output files for finite difference method based elastic calculations in the JARVIS-DFT.
DOI: 10.6084/m9.figshare.12462077
title: JARVIS-DFT Finite Difference Elastic Constants (JVASP-4666 to JVASP-7952)

description: Contains input/output files for finite difference method based elastic calculations in the JARVIS-DFT.
DOI: 10.6084/m9.figshare.12462089.v1
title: JARVIS-DFT Finite Difference Elastic Constants (JVASP-18871 to JVASP-7952)

description: Contains input/output files for finite difference method based elastic calculations in the JARVIS-DFT.
DOI: 10.6084/m9.figshare.12462065
title: Half-hourly temperature data measured at nine wave-exposed intertidal locations along the Atlantic coast of Nova Scotia, Canada (2014-2019)

description: This file provides half-hourly values of temperature measured between April 2014 and October 2019 at nine wave-exposed intertidal locations along the Atlantic coast of Nova Scotia, Canada. From north to south, these locations are: Glasgow Head (L1), Deming Island (L2), Tor Bay Provincial Park (L3), Barachois Head (L4), Sober Island (L5), Duck Reef (L6), Western Head (L7), West Point (L8), and Baccaro Point (L9). The data for each location is in a separate worksheet (tab) within this file. For each location, the half-hourly values of tide height for the closest tide reference station are also provided.
DOI: 10.6084/m9.figshare.12461969
title: Atlantic salmon (Salmo salar) 3'UTRs (untranslated regions)

description: <b>GCF_000233375.1_ICSASG_v2_3prime-UTR.fna.gz:</b>The 3' untranslated regions of the Atlantic salmon (<i>Salmo salar</i>) genome (created from GCF_000233375.1_ICSASG_v2_rna_from_genomic.fna).<br><b>utr-processing.py:</b><br>The script used to extract the 3'UTRs from the Atlantic salmon genome.
DOI: 10.6084/m9.figshare.12461834
title: Supplemental Data

description: Online Supplemental Data
DOI: 10.6084/m9.figshare.12461774
title: Untitled Item

description: XPS, XRD and indentation characterizations.
DOI: 10.6084/m9.figshare.12461756
title: Marchantia inflexa DhT transcriptome

description: Assembled transcriptome, coding sequences, and translated peptide sequences for Marchantia inflexa are provided. Sequence data were generated from 6 distinct M. inflexa genotypes sampled at 5 timepoints throughout a dehydration - rehydration timecourse. Methodological details are described in Marks et al. 2020 (see reference below).
DOI: 10.6084/m9.figshare.12461327
title: T2 brain extraction weights

description: brain extraction weights t2<br>
DOI: 10.6084/m9.figshare.12459935
title: Flair brain extraction weights

description: brain extraction weights<br>
DOI: 10.6084/m9.figshare.12461327.v1
title: T2 brain extraction weights

description: brain extraction weights t2<br>
DOI: 10.6084/m9.figshare.12459935.v1
title: Flair brain extraction weights

description: brain extraction weights<br>
DOI: 10.6084/m9.figshare.12461834.v1
title: Reitz et al. Supplemental Data

description: Online Supplemental Data
DOI: 10.6084/m9.figshare.12459899
title: In-silico mix Jurkat, Ramos, MDA-MB-468, HBCx22 scChIP H3K27m3 human cells

description: H3K27me3 scChIP-seq human ‘in-silico’ mix of 4 cell types: The samples correspond to n=326 human tumor cells from untreated PDX (HBCx22), n=201 human T cells (Jurkat) and n=306 B cells (Ramos) taken from 1 , 2019 and n=454 cells from the MDA-MB-468 triple-negative breast cancer cell line.
DOI: 10.6084/m9.figshare.12461834.v3
title: Supplemental Data

description: Online Supplemental Data
DOI: 10.6084/m9.figshare.12459905
title: Oncorhynchus mykiss bowtie1 index

description: These six files are a bowtie1 index created from the rainbow trout (<i>Oncorhynchus mykiss</i>) genome. The index files were used to align small RNA-Seq files for microRNA alignment and annotation using miARma-Seq.<br>Genome information:GCF_002163495.1_Omyk_1.0_genomic.fna Downloaded April 9, 2019<br>Bowtie1 information:bowtie version 1.1.1, 64-bit, Built on localhost.localdomain, Tue Sep 30 15:43:08 EDT 2014, Compiler: gcc version 4.1.2 20080704 (Red Hat 4.1.2-54), Options: -O3 -m64 -Wl,--hash-style=both -DPOPCNT_CAPABILITY, Sizeof {int, long, long long, void*, size_t, off_t}: {4, 8, 8, 8, 8, 8}
DOI: 10.6084/m9.figshare.12461834.v2
title: Reitz et al. Clock HFD Heart_Supplemental Data

description: Online Supplemental Data
DOI: 10.6084/m9.figshare.12459899.v1
title: In-silico mix Jurkat, Ramos, MDA-MB-468, HBCx22 scChIP H3K27m3 mouse cells

description: H3K27me3 scChIP-seq human ‘in-silico’ mix of 4 cell types: The samples correspond to n=326 human tumor cells from untreated PDX (HBCx22), n=201 human T cells (Jurkat) and n=306 B cells (Ramos) taken from 1 , 2019 and n=454 cells from the MDA-MB-468 triple-negative breast cancer cell line.
DOI: 10.6084/m9.figshare.12459749
title: Shear strength database for sands

description: Shear strength database for clean sands
DOI: 10.6084/m9.figshare.12459794
title: nhess-datasets-2020-130

description: The dataset used in the study for assessing the storm surge risk assessment
DOI: 10.6084/m9.figshare.12459899.v2
title: In-silico mix Jurkat, Ramos, MDA-MB-468, HBCx22 scChIP H3K27m3 human cells

description: H3K27me3 scChIP-seq human ‘in-silico’ mix of 4 cell types: The samples correspond to n=326 human tumor cells from untreated PDX (HBCx22), n=201 human T cells (Jurkat) and n=306 B cells (Ramos) taken from 1 , 2019 and n=454 cells from the MDA-MB-468 triple-negative breast cancer cell line.
DOI: 10.6084/m9.figshare.12459737
title: Metadata record for: IDEAL, the Infectious Diseases of East African Livestock project open access database and biobank

description: This dataset contains key characteristics about the data described in the Data Descriptor IDEAL, the Infectious Diseases of East African Livestock project open access database and biobank. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.5281/zenodo.3759633
title: Progress in Cooling Nanoelectronic Devices to Ultra-Low Temperatures

description: Supporting data for "Progress in cooling nanoelectronic devices to ultra-low temperatures" A. T. Jones, C. P. Scheller, J. R. Prance, Y. B. Kalyoncu, D. M. Zumbühl, and R. P. Haley <em>J Low Temp Phys</em> (2020). https://doi.org/10.1007/s10909-020-02472-9
DOI: 10.6084/m9.figshare.12459737.v1
title: Metadata record for: IDEAL, the Infectious Diseases of East African Livestock project open access database and biobank

description: This dataset contains key characteristics about the data described in the Data Descriptor IDEAL, the Infectious Diseases of East African Livestock project open access database and biobank. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.12459899.v3
title: In-silico mix Jurkat, Ramos, MDA-MB-468, HBCx22 scChIP H3K27m3 human cells

description: H3K27me3 scChIP-seq human ‘in-silico’ mix of 4 cell types: The samples correspond to n=326 human tumor cells from untreated PDX (HBCx22), n=201 human T cells (Jurkat) and n=306 B cells (Ramos) taken from 1 , 2019 and n=454 cells from the MDA-MB-468 triple-negative breast cancer cell line.
DOI: 10.6084/m9.figshare.12459905.v1
title: bowtie1index

description: These six files are a bowtie1 index created from the rainbow trout (<i>Oncorhynchus mykiss</i>) genome. The index files were used to align small RNA-Seq files for microRNA alignment and annotation using miARma-Seq.<br>Genome information:GCF_002163495.1_Omyk_1.0_genomic.fna Downloaded April 9, 2019<br>Bowtie1 information:bowtie version 1.1.1, 64-bit, Built on localhost.localdomain, Tue Sep 30 15:43:08 EDT 2014, Compiler: gcc version 4.1.2 20080704 (Red Hat 4.1.2-54), Options: -O3 -m64 -Wl,--hash-style=both -DPOPCNT_CAPABILITY, Sizeof {int, long, long long, void*, size_t, off_t}: {4, 8, 8, 8, 8, 8}
DOI: 10.6084/m9.figshare.12459602
title: supplementary_material.zip

description: This is the supplementary material for the paper "Guided Exploration with Proximal Policy Optimization using a Single Demonstration"<br>
DOI: 10.6084/m9.figshare.12459665
title: Upper mantle P-wave tomography UAE

description: P-wave tomographic model of the upper mantle beneath the UAE.
DOI: 10.5281/zenodo.2652371
title: Supporting data for "Spectroscopy of Quantum Dot Orbitals with In-Plane Magnetic Fields"

description: Supporting data for<br> "Hyperfine-phonon spin relaxation in a single-electron GaAs quantum dot"<br> Leon C. Camenzind, Liuqi Yu, Peter Stano, Jeramy D. Zimmerman, Arthur C. Gossard, Daniel Loss & Dominik M. Zumbühl <em>Phys. Rev. Lett. <strong>122</strong>, 207701 – Published 22 May 2019</em>
DOI: 10.5281/zenodo.3759632
title: Progress in Cooling Nanoelectronic Devices to Ultra-Low Temperatures

description: Supporting data for "Progress in cooling nanoelectronic devices to ultra-low temperatures" A. T. Jones, C. P. Scheller, J. R. Prance, Y. B. Kalyoncu, D. M. Zumbühl, and R. P. Haley <em>J Low Temp Phys</em> (2020). https://doi.org/10.1007/s10909-020-02472-9
DOI: 10.6084/m9.figshare.12459602.v1
title: supplementary_material.zip

description: This is the supplementary material for the paper "Guided Exploration with Proximal Policy Optimization using a Single Demonstration"<br>
DOI: 10.5281/zenodo.2652370
title: Supporting data for "Spectroscopy of Quantum Dot Orbitals with In-Plane Magnetic Fields"

description: Supporting data for<br> "Hyperfine-phonon spin relaxation in a single-electron GaAs quantum dot"<br> Leon C. Camenzind, Liuqi Yu, Peter Stano, Jeramy D. Zimmerman, Arthur C. Gossard, Daniel Loss & Dominik M. Zumbühl <em>Phys. Rev. Lett. <strong>122</strong>, 207701 – Published 22 May 2019</em>
DOI: 10.6084/m9.figshare.12459521
title: Progenesis QI output files

description: See notesINSR IP and MS data outputProgenesis QI outputs
DOI: 10.6084/m9.figshare.12459449
title: data.sav

description: SPSS archive includes sociodemographic variables and PICCOLO scores (for every item, every subscale and total) for mothers and fathers.
DOI: 10.6084/m9.figshare.12459521.v1
title: Progenesis QI output files

description: See notesINSR IP and MS data outputProgenesis QI outputs
DOI: 10.6084/m9.figshare.12459521.v3
title: Progenesis QI output files

description: See notesINSR IP and MS data outputProgenesis QI outputs
DOI: 10.6084/m9.figshare.12459176
title: MethodX- stability of spironolactone

description: Statistics for spironolatone calibration curve<br>
DOI: 10.6084/m9.figshare.12459158
title: MethodX- linearity of caffeine

description: Statisics for caffeine calibration curve (linearity)<br>
DOI: 10.6084/m9.figshare.12459167
title: MethodX- linearity of hydrocortisone

description: Statistics for hydrocortisone calibration curve<br>
DOI: 10.6084/m9.figshare.12459176.v1
title: MethodX- stability of spironolactone

description: Statistics for spironolatone calibration curve<br>
DOI: 10.6084/m9.figshare.12459521.v2
title: Progenesis QI output files

description: See notesINSR IP and MS data outputProgenesis QI outputs
DOI: 10.6073/pasta/db0dc0149ff9e9143455c34de25c86ba
title: Soil nutrient availability from the 2007 Anaktuvuk River fire scar during the 2019 growing season

description: This file contains plant-available NO3, NH4, PO4 and total free primary amines (TFPA )in the upper 5-10cm of organic matter from a burned and unburned site in the southern section of the 2007 Anaktuvuk River fire in northern Alaska. Soil nutrients were assessed using buried resin bags which incubated for 1 month during the peak of the growing season in 2019.
DOI: 10.6084/m9.figshare.12459143
title: Method X- linearity of tacrolimus

description: Statistics for calibration curve linearity for the tacrolimus <br>
DOI: 10.6084/m9.figshare.12459143.v1
title: Method X- linearity of tacrolimus

description: Statistics for calibration curve linearity for the tacrolimus <br>
DOI: 10.6084/m9.figshare.12459158.v1
title: MethodX- linearity of caffeine

description: Statisics for caffeine calibration curve (linearity)<br>
DOI: 10.6084/m9.figshare.12459071
title: Synthetic_data_JGR_Solid_Earth

description: Synthetic data used in "A Bayesian approach for thermal history reconstruction in basin modeling"by A. Licciardi K. Gallagher and S.A. Clark.<br>Please refer to the original publication.
DOI: 10.6084/m9.figshare.12459071.v1
title: Synthetic_data_JGR_Solid_Earth

description: Synthetic data used in "A Bayesian approach for thermal history reconstruction in basin modeling"by A. Licciardi K. Gallagher and S.A. Clark.<br>Please refer to the original publication.
DOI: 10.6084/m9.figshare.12459065.v1
title: Dataset - Loss in intraspecific diversity in a predator species alters prey community structure and ecosystem functions

description: Loss in intraspecific diversity can alter ecosystem functions, but the underlying mechanisms are still elusive, and intraspecific biodiversity-ecosystem function relationships (iBEFs) have been restrained to primary producers. Here, we manipulated genetic and functional richness of a fish consumer (<i>Phoxinus phoxinus</i>), to test whether iBEFs exist in consumer species, and whether they are more likely sustained by genetic or functional richness. We found that both genotypic and functional richness affected ecosystem functioning, either independently or in interaction. Loss in genotypic richness reduced benthic invertebrate diversity consistently across functional richness treatments, whereas it reduced zooplankton diversity only when functional richness was high. Finally, both losses in genotypic and functional richness altered essential functions (e.g. decomposition) through trophic cascades. We concluded that iBEFs lead to substantial top-down effects on entire food chains. The loss of genotypic richness was similarly prejudicial than the loss of functional richness, probably because it sustains “cryptic” functional diversity.
DOI: 10.6084/m9.figshare.12459056.v1
title: The agnostosDB

description: The agnostosDB is a comprehensive dataset of microbial gene clusters (GCs) from genomes and metagenomes. It contains 5,287,759 GCs and more than 280M genes coming from the bacterial and archaeal Genome Taxonomy Database (GTDB) genomes, and from five large-scale metagenomic projects: 583 marine metagenomes from Tara Oceans expedition (TARA), Malaspina expedition, Ocean Sampling Day (OSD), Global Ocean Sampling Expedition (GOS), complemented with 1,246 metagenomes from the Human Microbiome Project (HMP) phase I and II. The dataset is described in Vanni et al. 2020.<br>Additional and more detailed information about the dataset creation and some of its applications, can be found at https://dark.metagenomics.eu/.Related to the agnostosDB is the agnostos-wf, a snakemake workflow stored in the GitHub repository https://github.com/functional-dark-side/agnostos-wf. The agnostos-wf allows to search the agnostosDB gene cluster HMM profiles and/or to integrate new sequence data (genes/contigs) in it.
DOI: 10.6084/m9.figshare.12459056.v2
title: agnostosDB_dbf02445-20200519

description: The agnostosDB (dbf02445-20200519) is a comprehensive dataset of microbial gene clusters (GCs) from genomes and metagenomes. It contains 5,287,759 GCs and more than 280M genes coming from the bacterial and archaeal Genome Taxonomy Database (GTDB) genomes, and from five large-scale metagenomic projects: 583 marine metagenomes from Tara Oceans expedition (TARA), Malaspina expedition, Ocean Sampling Day (OSD), Global Ocean Sampling Expedition (GOS), complemented with 1,246 metagenomes from the Human Microbiome Project (HMP) phase I and II. The dataset is described in Vanni et al. 2020.<br>Additional and more detailed information about the dataset creation and some of its applications, can be found at https://dark.metagenomics.eu/.Related to the agnostosDB is the agnostos-wf, a snakemake workflow stored in the GitHub repository https://github.com/functional-dark-side/agnostos-wf. The agnostos-wf allows to search the agnostosDB gene cluster HMM profiles and/or to integrate new sequence data (genes/contigs) in it.
DOI: 10.6084/m9.figshare.12459056.v3
title: agnostosDB_dbf02445-20200519

description: The agnostosDB (dbf02445-20200519) is a comprehensive dataset of microbial gene clusters (GCs) from genomes and metagenomes. It contains 5,287,759 GCs and more than 280M genes coming from the bacterial and archaeal Genome Taxonomy Database (GTDB) genomes, and from five large-scale metagenomic projects: 583 marine metagenomes from Tara Oceans expedition (TARA), Malaspina expedition, Ocean Sampling Day (OSD), Global Ocean Sampling Expedition (GOS), complemented with 1,246 metagenomes from the Human Microbiome Project (HMP) phase I and II. The dataset is described in Vanni et al. 2020.<br>Additional and more detailed information about the dataset creation and some of its applications, can be found at https://dark.metagenomics.eu/.Related to the agnostosDB is the agnostos-wf, a snakemake workflow stored in the GitHub repository https://github.com/functional-dark-side/agnostos-wf. The agnostos-wf allows to search the agnostosDB gene cluster HMM profiles and/or to integrate new sequence data (genes/contigs) in it.
DOI: 10.6084/m9.figshare.12459056.v4
title: agnostosDB_dbf02445-20200519

description: The agnostosDB (dbf02445-20200519) is a comprehensive dataset of microbial gene clusters (GCs) from genomes and metagenomes. It contains 5,287,759 GCs and more than 280M genes coming from the bacterial and archaeal Genome Taxonomy Database (GTDB) genomes, and from five large-scale metagenomic projects: 583 marine metagenomes from Tara Oceans expedition (TARA), Malaspina expedition, Ocean Sampling Day (OSD), Global Ocean Sampling Expedition (GOS), complemented with 1,246 metagenomes from the Human Microbiome Project (HMP) phase I and II. The dataset is described in Vanni et al. 2020.<br>Additional and more detailed information about the dataset creation and some of its applications, can be found at https://dark.metagenomics.eu/.Related to the agnostosDB is the agnostos-wf, a snakemake workflow stored in the GitHub repository https://github.com/functional-dark-side/agnostos-wf. The agnostos-wf allows to search the agnostosDB gene cluster HMM profiles and/or to integrate new sequence data (genes/contigs) in it.
DOI: 10.6084/m9.figshare.12459056.v5
title: agnostosDB_dbf02445-20200519

description: The agnostosDB (dbf02445-20200519) is a comprehensive dataset of microbial gene clusters (GCs) from genomes and metagenomes. It contains 5,287,759 GCs and more than 280M genes coming from the bacterial and archaeal Genome Taxonomy Database (GTDB) genomes, and from five large-scale metagenomic projects: 583 marine metagenomes from Tara Oceans expedition (TARA), Malaspina expedition, Ocean Sampling Day (OSD), Global Ocean Sampling Expedition (GOS), complemented with 1,246 metagenomes from the Human Microbiome Project (HMP) phase I and II. The dataset is described in Vanni et al. 2020.<br>Additional and more detailed information about the dataset creation and some of its applications, can be found at https://dark.metagenomics.eu/.Related to the agnostosDB is the agnostos-wf, a snakemake workflow stored in the GitHub repository https://github.com/functional-dark-side/agnostos-wf. The agnostos-wf allows to search the agnostosDB gene cluster HMM profiles and/or to integrate new sequence data (genes/contigs) in it.