Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

3,696

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

3,696 results for “Reference”

Learn how ShareScore rates datasets ↗
zenodo40/100

Azimuth ATAC Reference - Human PBMC

<p>Here we provide the reference data files used to run the Azimuth ATAC Human PBMC reference web application. For a full description of the reference data structure, please see the wiki at <a href="https://github.com/satijalab/azimuth/wiki/Azimuth-Reference-Format">https://github.com/satijalab/azimuth/wiki/Azimuth-Reference-Format</a>.</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

Azimuth ATAC Reference - Human BMMC

<p>Here we provide the reference data files used to run the Azimuth ATAC Human BMMC reference web application. For a full description of the reference data structure, please see the wiki at&nbsp;<a href="https://github.com/satijalab/azimuth/wiki/Azimuth-Reference-Format">https://github.com/satijalab/azimuth/wiki/Azimuth-Reference-Format</a>.</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

Azimuth Reference - Human Liver

<p>Here we provide the reference data files used to run the Azimuth Human Liver reference web application. For a full description of the reference data structure, please see the wiki at&nbsp;<a href="https://github.com/satijalab/azimuth/wiki/Azimuth-Reference-Format">https://github.com/satijalab/azimuth/wiki/Azimuth-Reference-Format</a>.</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

FRGMRC - FIRST Radio Galaxy Morphology Reference Catalogue

<p>FRGMRC - FIRST Radio Galaxy Morphology Reference Catalogue - Version 1.0</p> <p>Brand et al. 2023 - <a href="https://ui.adsabs.harvard.edu/abs/2023MNRAS.522..292B/abstract">https://ui.adsabs.harvard.edu/abs/2023MNRAS.522..292B/abstract</a></p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

Additional annotation, alignment, and results from Ka/Ks analysis for Chromosomal-level reference genome assembly of the African Spiny Mouse (Acomys cahirinus)

<p><strong>Annotation files, alignments, and results summaries from&nbsp;Chromosomal-level reference genome assembly of the African Spiny Mouse (Acomys cahirinus).</strong></p> <p>Pairwise genome alignments contain the .maf suffix</p> <p>FASTA alignments from stitched gene blocks&nbsp;contain the .fasta suffix</p> <p>CSV file containing the Ka/Ks results</p> <p>RepeatMasker .out file</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

Reference data from the Pathomove simulation, for the manuscript "Novel pathogen introduction triggers rapid evolution in animal social movement strategies"

<p>This is a reference dataset of multiple runs of the &#39;Pathomove&#39; simulation, to accompany the manuscript &quot;Novel pathogen introduction rapidly alters the evolution of movement, restructuring animal societies&quot;. The datasets are in the form of R data objects saved as Rds files.</p> <p>This version of the data is intended to accompany a resubmission to <em>eLife</em>.</p>

openmit-licenseMar 2022View details →
zenodo40/100

Large-eddy simulation source code and data for (LS)2D reference publication in JAMES.

<p>This archive contains the MicroHH large-eddy simulation source code, the (LS)2D source code, and all simulation input and statistics, used for the publication:</p> <p><em>&quot;The Benefits and Challenges of Downscaling a Global Reanalysis with Doubly-Periodic Large-Eddy Simulations&quot; </em>by B.J.H. van Stratum et al.</p>

opencc-by-4.0Apr 2023View details →
zenodo40/100

CMIP6 derived ensemble of global vapor pressure deficit, potential evapotranspiration, and reference evapotranspiration

<p>Climate change induced trends in long-term aridity&mdash;via changes to atmospheric water demand for have the potential to impact surface water availability across the globe by altering efficiency by which precipitation is converted to runoff. Quantification of aridity requires estimates of evaporative demand, often using vapor pressure deficit, potential evapotranspiration, and/or reference evapotranspiration, but no comprehensive estimate of these climate variables exists to date from the Coupled Model Intercomparison Project 6 (CMIP6). Here we present global monthly estimates of the Penman-Monteith short grass reference evapotranspiration, its advective and radiation components, Priestley-Taylor potential evapotranspiration, and vapor pressure deficit from 16 CMIP6 general circulation models (GCM) for the historical period and four future emission scenarios ranging from low to high projected emissions. The purpose of this dataset is to offer structured and well-documented estimates of historical and future projected evaporative demand derived from the state-of-the-science CMIP6 climate models for use in hydrologic and ecological analyses. We produce a single file for all monthly values of each variable for individual GCM/emission scenario combination gridded at the given GCMs native resolution. Produced alongside all of the files are descriptions of each of the variables and generated python scripts that contain the functions used to estimate vapor pressure deficit, potential evapotranspiration, and reference evapotranspiration.</p>

opencc-by-4.0Dec 2021View details →
zenodo40/100

FIG. 1 in Ericaria giacconei sp. nov. (Sargassaceae, Fucophyceae), the species to which the invalidly published Cystoseira hyblaea Giaccone should be referred

FIG. 1. — Distribution of Ericaria giacconei sp. nov. white circles indicate stations in which the species was previously recorded as Cystoseira hyblaea Giaccone. The white triangle shows the type locality.

opencc-zeroJul 2021View details →
zenodo40/100

FIG. 5 in Ericaria giacconei sp. nov. (Sargassaceae, Fucophyceae), the species to which the invalidly published Cystoseira hyblaea Giaccone should be referred

FIG. 5. — Ericaria giacconei sp. nov. and Sabellaria alveolata (Linnaeus, 1767) from "Porto Palo di Capo Passero" (Sicily): A, overview of the bottom covered by a E. giacconei and S. alveolata biocostructions; B, A thallus of E. giacconei encircled by S. alveolata.

opencc-zeroJul 2021View details →
zenodo40/100

FIG. 3 in Ericaria giacconei sp. nov. (Sargassaceae, Fucophyceae), the species to which the invalidly published Cystoseira hyblaea Giaccone should be referred

FIG. 3. — Ericaria giacconei sp. nov., holotype: CAT 2716, 11.I.2020, Contrada Guardiana (36°39'03"N, 15°04'37"E), Porto Palo di Capo Passero (Straits of Sicily, Italy), 0.50 m depth: A, habit; B, detail of basal crust; C, detail of apex of cauloid. Scale bars: A, 2 cm; B, C, 1 cm.

opencc-zeroJul 2021View details →
zenodo40/100

FIG. 4 in Ericaria giacconei sp. nov. (Sargassaceae, Fucophyceae), the species to which the invalidly published Cystoseira hyblaea Giaccone should be referred

FIG. 4. — Ericaria giacconei sp. nov., holotype: CAT 2716: A, cross section showing a medulla formed by small rounded cells, a cortex made of roundish cells with thin walls and a meristoderm formed by a layer of rectangular cells twice longer than wide; B, mature receptacles terminal, with deciduous spinous appendages, conceptacles located at the base of spinous deciduous appendages; C, cross section showing a conceptacle with oogonia occupying the floor of the conceptacle and antheridia forming a ring above them; D, detail of antheridia on branched hairs. Scale bars: A, D, 50 µm; B, 0.5 cm; C, 100 µm.

opencc-zeroJul 2021View details →
zenodo40/100

FIG. 2 in Ericaria giacconei sp. nov. (Sargassaceae, Fucophyceae), the species to which the invalidly published Cystoseira hyblaea Giaccone should be referred

FIG. 2. — Ericaria giacconei sp. nov.: Giaccone's specimen labelled as Cystoseira hyblaea Giaccone (CAT 74, preserved in glycerine) showing primary branches with a cupressoid outline. Scale bar: 2 cm.

opencc-zeroJul 2021View details →
zenodo40/100

Natural grasslands across mainland France: a dataset including a 10 m raster and ground reference points

<p>The data provided here include the first 10 m raster of natural grasslands across mainland France and related ground reference points. The latter consist of 1,770 field observations that describe natural and artificial grasslands from respectively a compilation of hundreds of field-based vegetation maps and the European Union Land Parcel Identification System (LPIS).&nbsp;The raster data of natural grasslands were derived from five annual 10 m land cover maps of France from 2016-2020.</p> <p>More details can be found on the following reference : Panhelleux, L., Rapinel, S., Hubert-Moy, L., 2023. Natural grasslands across mainland France: a dataset including a 10 m raster and ground reference points. Data in Brief 109348. https://doi.org/10.1016/j.dib.2023.109348</p>

opencc-by-4.0May 2023View details →
zenodo40/100

Fig. 1 in A revised comprehensive checklist, relational database, and taxonomic system of reference for the bristly millipedes of the world (Diplopoda, Polyxenida)

Fig. 1. Polyxenus lagurus (Linnaeus, 1758). Habitus of an adult male, bisexual form, dorsal view, after Nguyen Duy - Jacquemin, 1996 (by kind permission of Millepattia). Drawing by Maurice Gaillard. Length = 4 mm.

opencc-by-4.0Aug 2003View details →
zenodo40/100

Fig. 2 in A revised comprehensive checklist, relational database, and taxonomic system of reference for the bristly millipedes of the world (Diplopoda, Polyxenida)

Fig. 2. Propolyxenus forsteri Condé, 1951. Habitus of an adult male, dorsal view. Drawing by Christine Beau. Length = 3.5 mm.

opencc-by-4.0Aug 2003View details →
dryad40/100

Data from: A global reference database in FAOSTAT of cropland nutrient budgets and nutrient use efficiency: nitrogen, phosphorus and potassium, 1961–2020

<p class="MsoNormal">Agricultural nutrient budgets help to identify an excess or an insufficiency in use of fertilizers and other nutrient sources. Nutrient budgets allow for indicators such as the nutrient balance (surplus or deficit) and nutrient use efficiency to be estimated. This can help in the monitoring of agricultural productivity and sustainability globally. The present dataset is a global database of country-level budget estimates for nitrogen (N), phosphorus (P) and potassium (K) in cropland. The database is disseminated in FAOSTAT and provides a global reference, synthesizing and continuously updating the state-of-the-art on this topic. The database covers the period 961 to 2020 for 205 countries and territories, as well as regional and global aggregates. Results indicate the wide range in nutrient use and use efficiencies across regions, nutrients, and time. This dataset introduces improvements over previous work in relation to key nutrient coefficients affecting nutrient budgets and use efficiency estimates. This is especially for nutrient removal in crop products, manure nutrient content, atmospheric deposition and crop biological N fixation rates. </p>

opencc-zeroDec 2022View details →
zenodo40/100

Haplotype-aware reference genome reveals hidden somatic mutations of sweet orange

<p><strong>Filename: </strong>ASE_in_five_fruit_development.txt</p> <p><strong>Description: </strong>Based on our haplotype sequences, we confirmed biallelic genes showed significant expression difference between two alleles in at least one fruit developmental stage. We collected the RNA-seq data from fruit of Newhall navel orange at five developmental stages (90, 120, 150, 180 and 210 days after bloom). RNA-seq data from previous project GSE108930 in NCBI database.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Biallelic_genes_haplogenomes.tsv</p> <p><strong>Description: </strong>The biallelic genes were identified using the Genespace program.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Haplogenomes_CENH3_chip_peaks.bw</p> <p><strong>Description: </strong>The CENH3 sequences were collected from BankIt ID 2305947. These reads (including the input library as a control) were aligned to the two assembled haplotypes using Bowtie2 (v2.5.1) with default parameters. MACS2 (v2.2.7.1) with the additional parameters &ldquo;-f BAM -ghs -B -q 0.01&rdquo; was used to perform peak calling. The peaks generated from CENH3 chip-seq.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Haplogenomes_Control_chip_peaks.bw</p> <p><strong>Description:</strong> The peaks generated from Control chip-seq.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Haplotype_based_79accessions_somatic_variations.vcf</p> <p><strong>Description: </strong>The small somatic variations generated based on the haplotype-based method. The derived somatic mutations were identified based on nine samples from the outgroup (Earlier Clade I).</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_CuteSV.vcf</p> <p><strong>Description: </strong>The HiFi reads were mapped to haplotype A. We called SVs using the CuteSV program.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_gene_function_annotation.tsv</p> <p><strong>Description: </strong>The gene annotations of haplotype A.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_gene_model.gff3</p> <p><strong>Description:</strong> The gene structure model of haplotype A.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_genome.fa</p> <p><strong>Description:</strong> The genome sequences of haplotype A.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_PEPPER_OUTPUT.zip</p> <p><strong>Description: </strong>The small variations of sweet orange using the haplotype A as the reference genome.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_TEs_annotation.gff3</p> <p><strong>Description:</strong> The TE annotations of haplotype A.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeB_gene_function_annotation.tsv</p> <p><strong>Description:</strong> The gene annotations of haplotype B.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeB_gene_model.gff3</p> <p><strong>Description:</strong> The gene structure model of haplotype B.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeB_genome.fa</p> <p><strong>Filename: </strong>ASE_in_five_fruit_development.txt</p> <p><strong>Description: </strong>Based on our haplotype sequences, we confirmed biallelic genes showed significant expression difference between two alleles in at least one fruit developmental stage. We collected the RNA-seq data from fruit of Newhall navel orange at five developmental stages (90, 120, 150, 180 and 210 days after bloom). RNA-seq data from previous project GSE108930 in NCBI database.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Biallelic_genes_haplogenomes.tsv</p> <p><strong>Description: </strong>The biallelic genes were identified using the Genespace program.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Haplogenomes_CENH3_chip_peaks.bw</p> <p><strong>Description: </strong>The CENH3 sequences were collected from BankIt ID 2305947. These reads (including the input library as a control) were aligned to the two assembled haplotypes using Bowtie2 (v2.5.1) with default parameters. MACS2 (v2.2.7.1) with the additional parameters &ldquo;-f BAM -ghs -B -q 0.01&rdquo; was used to perform peak calling. The peaks generated from CENH3 chip-seq.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Haplogenomes_Control_chip_peaks.bw</p> <p><strong>Description:</strong> The peaks generated from Control chip-seq.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Haplotype_based_79accessions_somatic_variations.vcf</p> <p><strong>Description: </strong>The small somatic variations generated based on the haplotype-based method. The derived somatic mutations were identified based on nine samples from the outgroup (Earlier Clade I).</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_CuteSV.vcf</p> <p><strong>Description: </strong>The HiFi reads were mapped to haplotype A. We called SVs using the CuteSV program.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_gene_function_annotation.tsv</p> <p><strong>Description: </strong>The gene annotations of haplotype A.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_gene_model.gff3</p> <p><strong>Description:</strong> The gene structure model of haplotype A.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_genome.fa</p> <p><strong>Description:</strong> The genome sequences of haplotype A.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_PEPPER_OUTPUT.zip</p> <p><strong>Description: </strong>The small variations of sweet orange using the haplotype A as the reference genome.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_TEs_annotation.gff3</p> <p><strong>Description:</strong> The TE annotations of haplotype A.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeB_gene_function_annotation.tsv</p> <p><strong>Description:</strong> The gene annotations of haplotype B.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeB_gene_model.gff3</p> <p><strong>Description:</strong> The gene structure model of haplotype B.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeB_genome.fa</p> <p><strong>Description:</strong> The genome sequences of haplotype B.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeB_TEs_annotation.gff3</p> <p><strong>Description:</strong> The TE annotations of haplotype B.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Single_reference_87accessions_somatic_variations.vcf</p> <p><strong>Description:</strong> The small somatic variations generated based on the single reference genome (Haplotype A).</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Somatic_material_RNA_seq_matrix.txt</p> <p><strong>Description: </strong>The expression matrix of BT_3 and BT_5 (a set of somatic mutation material).</p> <p>&nbsp;</p> <p><strong>Filename: </strong>ASE_in_five_fruit_development.txt</p> <p><strong>Description: </strong>Based on our haplotype sequences, we confirmed biallelic genes showed significant expression difference between two alleles in at least one fruit developmental stage. We collected the RNA-seq data from fruit of Newhall navel orange at five developmental stages (90, 120, 150, 180 and 210 days after bloom). RNA-seq data from previous project GSE108930 in NCBI database.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Biallelic_genes_haplogenomes.tsv</p> <p><strong>Description: </strong>The biallelic genes were identified using the Genespace program.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Haplogenomes_CENH3_chip_peaks.bw</p> <p><strong>Description: </strong>The CENH3 sequences were collected from BankIt ID 2305947. These reads (including the input library as a control) were aligned to the two assembled haplotypes using Bowtie2 (v2.5.1) with default parameters. MACS2 (v2.2.7.1) with the additional parameters &ldquo;-f BAM -ghs -B -q 0.01&rdquo; was used to perform peak calling. The peaks generated from CENH3 chip-seq.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Haplogenomes_Control_chip_peaks.bw</p> <p><strong>Description:</strong> The peaks generated from Control chip-seq.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Haplotype_based_79accessions_somatic_variations.vcf</p> <p><strong>Description: </strong>The small somatic variations generated based on the haplotype-based method. The derived somatic mutations were identified based on nine samples from the outgroup (Earlier Clade I).</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_CuteSV.vcf</p> <p><strong>Description: </strong>The HiFi reads were mapped to haplotype A. We called SVs using the CuteSV program.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_gene_function_annotation.tsv</p> <p><strong>Description: </strong>The gene annotations of haplotype A.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_gene_model.gff3</p> <p><strong>Description:</strong> The gene structure model of haplotype A.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_genome.fa</p> <p><strong>Description:</strong> The genome sequences of haplotype A.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_PEPPER_OUTPUT.zip</p> <p><strong>Description: </strong>The small variations of sweet orange using the haplotype A as the reference genome.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_TEs_annotation.gff3</p> <p><strong>Description:</strong> The TE annotations of haplotype A.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeB_gene_function_annotation.tsv</p> <p><strong>Description:</strong> The gene annotations of haplotype B.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeB_gene_model.gff3</p> <p><strong>Description:</strong> The gene structure model of haplotype B.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeB_genome.fa</p> <p><strong>Description:</strong> The genome sequences of haplotype B.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeB_TEs_annotation.gff3</p> <p><strong>Description:</strong> The TE annotations of haplotype B.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Single_reference_87accessions_somatic_variations.vcf</p> <p><strong>Description:</strong> The small somatic variations generated based on the single reference genome (Haplotype A).</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Somatic_material_RNA_seq_matrix.txt</p> <p><strong>Description: </strong>The expression matrix of BT_3 and BT_5 (a set of somatic mutation material).</p> <p>&nbsp;</p> <p><strong>Filename: </strong>ASE_in_five_fruit_development.txt</p> <p><strong>Description: </strong>Based on our haplotype sequences, we confirmed biallelic genes showed significant expression difference between two alleles in at least one fruit developmental stage. We collected the RNA-seq data from fruit of Newhall navel orange at five developmental stages (90, 120, 150, 180 and 210 days after bloom). RNA-seq data from previous project GSE108930 in NCBI database.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Biallelic_genes_haplogenomes.tsv</p> <p><strong>Description: </strong>The biallelic genes were identified using the Genespace program.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Haplogenomes_CENH3_chip_peaks.bw</p> <p><strong>Description: </strong>The CENH3 sequences were collected from BankIt ID 2305947. These reads (including the input library as a control) were aligned to the two assembled haplotypes using Bowtie2 (v2.5.1) with default parameters. MACS2 (v2.2.7.1) with the additional parameters &ldquo;-f BAM -ghs -B -q 0.01&rdquo; was used to perform peak calling. The peaks generated from CENH3 chip-seq.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Haplogenomes_Control_chip_peaks.bw</p> <p><strong>Description:</strong> The peaks generated from Control chip-seq.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Haplotype_based_79accessions_somatic_variations.vcf</p> <p><strong>Description: </strong>The small somatic variations generated based on the haplotype-based method. The derived somatic mutations were identified based on nine samples from the outgroup (Earlier Clade I).</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_CuteSV.vcf</p> <p><strong>Description: </strong>The HiFi reads were mapped to haplotype A. We called SVs using the CuteSV program.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_gene_function_annotation.tsv</p> <p><strong>Description: </strong>The gene annotations of haplotype A.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_gene_model.gff3</p> <p><strong>Description:</strong> The gene structure model of haplotype A.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_genome.fa</p> <p><strong>Description:</strong> The genome sequences of haplotype A.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_PEPPER_OUTPUT.zip</p> <p><strong>Description: </strong>The small variations of sweet orange using the haplotype A as the reference genome.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_TEs_annotation.gff3</p> <p><strong>Description:</strong> The TE annotations of haplotype A.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeB_gene_function_annotation.tsv</p> <p><strong>Description:</strong> The gene annotations of haplotype B.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeB_gene_model.gff3</p> <p><strong>Description:</strong> The gene structure model of haplotype B.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeB_genome.fa</p> <p><strong>Description:</strong> The genome sequences of haplotype B.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeB_TEs_annotation.gff3</p> <p><strong>Description:</strong> The TE annotations of haplotype B.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Single_reference_87accessions_somatic_variations.vcf</p> <p><strong>Description:</strong> The small somatic variations generated based on the single reference genome (Haplotype A).</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Somatic_material_RNA_seq_matrix.txt</p> <p><strong>Description: </strong>The expression matrix of BT_3 and BT_5 (a set of somatic mutation material).</p> <p><strong>Filename: </strong>ASE_in_five_fruit_development.txt</p> <p><strong>Description: </strong>Based on our haplotype sequences, we confirmed biallelic genes showed significant expression difference between two alleles in at least one fruit developmental stage. We collected the RNA-seq data from fruit of Newhall navel orange at five developmental stages (90, 120, 150, 180 and 210 days after bloom). RNA-seq data from previous project GSE108930 in NCBI database.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Biallelic_genes_haplogenomes.tsv</p> <p><strong>Description: </strong>The biallelic genes were identified using the Genespace program.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Haplogenomes_CENH3_chip_peaks.bw</p> <p><strong>Description: </strong>The CENH3 sequences were collected from BankIt ID 2305947. These reads (including the input library as a control) were aligned to the two assembled haplotypes using Bowtie2 (v2.5.1) with default parameters. MACS2 (v2.2.7.1) with the additional parameters &ldquo;-f BAM -ghs -B -q 0.01&rdquo; was used to perform peak calling. The peaks generated from CENH3 chip-seq.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Haplogenomes_Control_chip_peaks.bw</p> <p><strong>Description:</strong> The peaks generated from Control chip-seq.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Haplotype_based_79accessions_somatic_variations.vcf</p> <p><strong>Description: </strong>The small somatic variations generated based on the haplotype-based method. The derived somatic mutations were identified based on nine samples from the outgroup (Earlier Clade I).</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_CuteSV.vcf</p> <p><strong>Description: </strong>The HiFi reads were mapped to haplotype A. We called SVs using the CuteSV program.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_gene_function_annotation.tsv</p> <p><strong>Description: </strong>The gene annotations of haplotype A.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_gene_model.gff3</p> <p><strong>Description:</strong> The gene structure model of haplotype A.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_genome.fa</p> <p><strong>Description:</strong> The genome sequences of haplotype A.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_PEPPER_OUTPUT.zip</p> <p><strong>Description: </strong>The small variations of sweet orange using the haplotype A as the reference genome.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeA_TEs_annotation.gff3</p> <p><strong>Description:</strong> The TE annotations of haplotype A.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeB_gene_function_annotation.tsv</p> <p><strong>Description:</strong> The gene annotations of haplotype B.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeB_gene_model.gff3</p> <p><strong>Description:</strong> The gene structure model of haplotype B.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeB_genome.fa</p> <p><strong>Description:</strong> The genome sequences of haplotype B.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeB_TEs_annotation.gff3</p> <p><strong>Description:</strong> The TE annotations of haplotype B.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Single_reference_87accessions_somatic_variations.vcf</p> <p><strong>Description:</strong> The small somatic variations generated based on the single reference genome (Haplotype A).</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Somatic_material_RNA_seq_matrix.txt</p> <p><strong>Description: </strong>The expression matrix of BT_3 and BT_5 (a set of somatic mutation material).</p> <p><strong>Description:</strong> The genome sequences of haplotype B.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>HaplotypeB_TEs_annotation.gff3</p> <p><strong>Description:</strong> The TE annotations of haplotype B.</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Single_reference_87accessions_somatic_variations.vcf</p> <p><strong>Description:</strong> The small somatic variations generated based on the single reference genome (Haplotype A).</p> <p>&nbsp;</p> <p><strong>Filename: </strong>Somatic_material_RNA_seq_matrix.txt</p> <p><strong>Description: </strong>The expression matrix of BT_3 and BT_5 (a set of somatic mutation material).</p>

opencc-by-4.0Nov 2023View details →
zenodo40/100

bksnake_reference_genomes_2022-07-15_hg38

<p>Human hg38 reference genomes and annotations files from RefSeq/NCBI and Ensembl. Archived in a tar.gz file.</p> <p>Files are processed and formatted so that they can be used together with the bulk RNASeq pipeline &quot;bksnake&quot;.</p> <p>STAR index files for the genome file are&nbsp;also included.</p> <p>The tar.gz file contains the following data folders</p> <ul> <li>genomes_2022-07-15_hg38/fasta</li> <li>genomes_2022-07-15_hg38/star_2.7.10b</li> <li>genomes_2022-07-15_hg38/gtf/ensembl</li> <li>genomes_2022-07-15_hg38/gtf/refseq</li> </ul> <p>&quot;fasta&quot; contains fasta genomic sequences and index files, as well as ribosomal transcripts &quot;intervals&quot; and chromosome &quot;dictionary&quot; files. &quot;star_2.7.10b&quot; contains STAR aligner index files. &quot;gtf/ensembl&quot; and &quot;gtf/refseq&quot; contain Ensembl and RefSeq gtf files as well as &quot;genePred&quot; and &quot;refFlat&quot; files.</p> <p>The recipe how to generate these files is going to be published in github.</p> <p>The bulk RNASeq pipeline &quot;bksnake&quot; is going to be published in github.</p>

opencc-by-4.0May 2023View details →
zenodo40/100

RMLStreamer with Reference Conditions in the KGCW Challenge 2023

<p>This repository contains all necessary data to reproduce the participation of RMLStreamer with reference conditions in the <a href="https://doi.org/10.5281/zenodo.7689310">KGCW 2023 Challenge</a>, as well as the reported results.</p> <p>For more information we refer to the related paper:</p> <p><em>E. de Vleeschauwer, G.Haesendonck, D. Van Assche. B. De Meester, RMLStreamer with Reference Conditions in the<br> KGCW Challenge 2023, in: Proceedings of the 4rd International Workshop on Knowledge Graph Construction (KGCW 2023) co-located with 20th Extended Semantic Web Conference (ESWC 2023), 2023</em></p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2023View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.