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hybrid · semantic + lexical · 4934 datasets ranked · 1.23s

Structuremodal34tabular4composite3spatial1tensor1
Depthcataloged4891measured43
Licenseopen4655non commercial147unknown94share alike38
Accessopen4934
Formatpdf4844zip149csv63docx63tiff59
Sourcezenodo4919zenodo-bio15
clear
21-40 of 4934sortrelevancemeasured firstqualitysize
spatial

Historical Gridded Population of the Yellow River Basin, 1000–2000 AD

0.00

Wang, Yafei

15 files · 129 KB · tiff

xlsx46
png28
jpeg26
hdf515
tsv12
shapefile11
torch11
parquet9
geojson4
gzip4
geopackage3
netcdf3
fasta1
npy1
rar1
sqlite1
tar1
wav1
xls1
xz1

A gridded time-series dataset reconstructing population distribution across the Yellow River Basin, China, from 1000 to 2000 AD, with a temporal resolution of one century and a spatial resolution of 10 km.

open·CC-BY-4.0·Zenodo·completeSource
modal

Cyclic voltammograms obtained at the 35-nm radius gold nanoelectrode in 0.5 M H2SO4 solution deoxygenated under argon

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Wang, Wei · Liu, Cheng · Han, Lianhuan · et al.

10 files · 211 KB · tiff

Cyclic voltammograms (CVs) obtained at the 35-nm radius gold nanoelectrode in 0.5 M H2SO4 solution deoxygenated under argon at different scan rates (from 0.3 to 1 V/s). The potential range is 0-1.75 V vs RHE. The data in the text files is given in the following format: Potential vs. RHE (V) | Current (A) Scan rate is indicated in the text file name. The figure Voltammograms.tif shows all CVs in this dataset.

open·CC-BY-4.0·Zenodo·completeSource
modal

PD5D long read DNA-seq

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Kim, Kwanho · Lin, Zechuan · Simmons, Sean · et al.

1 files · 37 KB · pdf

This dataset contains CCS corrected HiFi long-read DNA sequencing (lrDNAseq) in FASTQ format for 100 PMDBS samples from Parkinson's patients and healthy controls. It's part of the PD5D atlas, where the same subjects were also profiled with other omics assays including genotyping, single-cell ATACseq, and spatial transcriptomics.

open·CC-BY-4.0·zenodo-bio·completeSource
modal

PD5D midbrain single-nucleus RNA-seq hybrid selection

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Kim, Kwanho · Lin, Zechuan · Simmons, Sean · et al.

1 files · 37 KB · pdf

This dataset contains raw FASTQ files from the midbrain single-nucleus RNA sequencing (snRNAseq) dataset with hybrid selection for the matching PMDBS samples from the PD5D chort. The same subjects were also profiled with other omics assays including genomic DNAseq, genotyping, single-cell ATACseq, and spatial transcriptomics.

open·CC-BY-4.0·zenodo-bio·completeSource
modal

Single nuclei RNA sequencing (10x) of postmortem cingulate cortex and midbrain of healthy donors and Parkinson's disease patients – 10x snRNA-seq.

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Pančíková, Alexandra · Theunis, Koen · Hulselmans, Gert · et al.

1 files · 37 KB · pdf

This dataset consists of raw sequencing snRNA-seq data (10x Genomics Chromium Next GEM Single Cell 3ʹ). The data is part of an overall set of samples derived from postmortem midbrain (n=140), cingulate cortex (n=190) and motor cortex (n=4) of healthy donors (n=114), patients with Parkinson's disease (n=75) or patients with other neurological disorder (n=1). The protocol followed to isolate nuclei from postmortem brain samples and to prepare sequencing libraries can be found below. To increase throughput and to decrease batch effects, several donors have been pooled together into a single sequencing library. To computationally demultiplex the nuclei to their corresponding donors, cellsnp-lite (version commit: aad18644adcde853c313362a856a24245c9b91f7) followed by vireo (https://github.com/single-cell-genetics/vireo/pull/108) has been used. The population VCF with the donor genotypes derived from whole genome sequencing data has been used to assign nuclei back to their donors.

open·CC-BY-4.0·zenodo-bio·completeSource
modal

Single nuclei RNA sequencing (ParseBio) of postmortem cingulate cortex and midbrain of healthy donors and Parkinson's disease patients.

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Pančíková, Alexandra · Theunis, Koen · Hulselmans, Gert · et al.

1 files · 36 KB · pdf

This dataset consists of raw sequencing snRNA-seq data using ParseBio Evercode Whole Transcriptome. The data is part of an overall set of samples derived from postmortem midbrain (n=140), cingulate cortex (n=190) and motor cortex (n=4) of healthy donors (n=114), patients with Parkinson's disease (n=75) or patients with other neurological disorder (n=1). The protocol followed to isolate nuclei from postmortem brain samples and to prepare sequencing libraries can be found below. To increase throughput and to decrease batch effects, several donors have been pooled together into a specific ParseBio barcode. To computationally demultiplex the nuclei to their corresponding donors, cellsnp-lite (version commit: aad18644adcde853c313362a856a24245c9b91f7) followed by vireo (https://github.com/single-cell-genetics/vireo/pull/108) has been used. The population VCF with the donor genotypes derived from whole genome sequencing data has been used to assign nuclei back to their donors.

open·CC-BY-4.0·zenodo-bio·completeSource
modal

Single nuclei ATAC sequencing of postmortem cingulate cortex and midbrain of healthy donors and Parkinson's disease patients – 10x snATAC-seq.

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Pančíková, Alexandra · Theunis, Koen · Hulselmans, Gert · et al.

1 files · 36 KB · pdf

This dataset consists of raw sequencing snATAC-seq data (10x Genomics Chromium Next GEM Single Cell ATAC v2). The data is part of an overall set of samples derived from postmortem midbrain (n=140), cingulate cortex (n=190) and motor cortex (n=4) of healthy donors (n=114), patients with Parkinson's disease (n=75) or patients with other neurological disorder (n=1). The protocol followed to isolate nuclei from postmortem brain samples and to prepare sequencing libraries can be found below. To increase throughput and to decrease batch effects, several donors have been pooled together into a single sequencing library. To computationally demultiplex the nuclei to their corresponding donors, cellsnp-lite (version commit: aad18644adcde853c313362a856a24245c9b91f7) followed by vireo (https://github.com/single-cell-genetics/vireo/pull/108) has been used. The population VCF with the donor genotypes derived from whole genome sequencing data has been used to assign nuclei back to their donors. (edited)

open·CC-BY-4.0·zenodo-bio·completeSource
modal

Single nuclei ATAC sequencing of postmortem cingulate cortex of healthy donors and Parkinson's disease patients – HyDrop-ATAC v2

0.00

Pančíková, Alexandra · Theunis, Koen · Hulselmans, Gert · et al.

1 files · 36 KB · pdf

This dataset consists of raw sequencing snATAC-seq data (HyDrop v2). The data is part of an overall set of samples derived from postmortem midbrain (n=140), cingulate cortex (n=190) and motor cortex (n=4) of healthy donors (n=114), patients with Parkinson's disease (n=75) or patients with other neurological disorder (n=1). The protocol followed to isolate nuclei from postmortem brain samples can be found below. To increase throughput and to decrease batch effects, several donors have been pooled together into a single sequencing library. To computationally demultiplex the nuclei to their corresponding donors, cellsnp-lite (version commit: aad18644adcde853c313362a856a24245c9b91f7) followed by vireo (https://github.com/single-cell-genetics/vireo/pull/108) has been used. The population VCF with the donor genotypes derived from whole genome sequencing data has been used to assign nuclei back to their donors.

open·CC-BY-4.0·zenodo-bio·completeSource
modal

Single nuclei ATAC sequencing of postmortem cingulate cortex and midbrain of healthy donors and Parkinson's disease patients – Scale-ATAC + 10x Genomics.

0.00

Pančíková, Alexandra · Theunis, Koen · Hulselmans, Gert · et al.

1 files · 36 KB · pdf

This dataset consists of raw sequencing ATAC-seq data (Scale-ATAC pre-indexing followed by 10x Genomics snATAC v2). The data is part of an overall set of samples derived from postmortem midbrain (n=140), cingulate cortex (n=190) and motor cortex (n=4) of healthy donors (n=114), patients with Parkinson's disease (n=75) or patients with other neurological disorder (n=1). The protocol followed to isolate nuclei from postmortem brain samples and to prepare sequencing libraries can be found below. To increase throughput and to decrease batch effects, several donors have been pooled together into a single sequencing library. To computationally demultiplex the nuclei to their corresponding donors, cellsnp-lite (version commit: aad18644adcde853c313362a856a24245c9b91f7) followed by vireo (https://github.com/single-cell-genetics/vireo/pull/108) has been used. The population VCF with the donor genotypes derived from whole genome sequencing data has been used to assign nuclei back to their donors.

open·CC-BY-4.0·zenodo-bio·completeSource
modal

Single nuclei ATAC sequencing of postmortem cingulate cortex of healthy donors – Scale-ATAC + HyDrop v2.

0.00

Pančíková, Alexandra · Theunis, Koen · Hulselmans, Gert · et al.

1 files · 36 KB · pdf

This dataset consists of raw sequencing ATAC-seq data (Scale-ATAC + HyDrop v2). The data is part of an overall set of samples derived from postmortem midbrain (n=140), cingulate cortex (n=190) and motor cortex (n=4) of healthy donors (n=114), patients with Parkinson's disease (n=75) or patients with other neurological disorder (n=1). The protocols followed to isolate nuclei from postmortem brain samples and to prepare sequencing libraries can be found below. To increase throughput and to decrease batch effects, several donors have been pooled together into a single sequencing library. To computationally demultiplex the nuclei to their corresponding donors, cellsnp-lite (version commit: aad18644adcde853c313362a856a24245c9b91f7) followed by vireo (https://github.com/single-cell-genetics/vireo/pull/108 ) has been used. The population VCF with the donor genotypes derived from whole genome sequencing data has been used to assign nuclei back to their donors.

open·CC-BY-4.0·zenodo-bio·completeSource
modal

Single nuclei RNA sequencing of postmortem cingulate cortex, midbrain and motor cortex of healthy donors and Parkinson's disease patients – 10x multiome (snRNA-seq and snATAC-seq).

0.00

Pančíková, Alexandra · Theunis, Koen · Hulselmans, Gert · et al.

1 files · 37 KB · pdf

This dataset consists of raw sequencing snRNA-seq data and snATAC-seq data (10x Genomics Chromium Next GEM Multiome ATAC/GEX). The data is part of an overall set of samples derived from postmortem midbrain (n=140), cingulate cortex (n=190) and motor cortex (n=4) of healthy donors (n=114), patients with Parkinson's disease (n=75) or patients with other neurological disorder (n=1). The protocol followed to isolate nuclei from postmortem brain samples and to prepare sequencing libraries can be found below. To increase throughput and to decrease batch effects, several donors have been pooled together into a single sequencing library. To computationally demultiplex the nuclei to their corresponding donors, cellsnp-lite (version commit: aad18644adcde853c313362a856a24245c9b91f7) followed by vireo (https://github.com/single-cell-genetics/vireo/pull/108 ) has been used. The population VCF with the donor genotypes derived from whole genome sequencing data has been used to assign nuclei back to their donors. (edited)

open·CC-BY-4.0·zenodo-bio·completeSource
modal

Single-cell RNAseq of human PBMCs from healthy control, RBD, and PD.

0.00

MacDonald, Adam · Stratton, Jo Anne

1 files · 35 KB · pdf

We performed 10X Genomics single-cell RNAsequencing of human prepheral blood mononuclear cells from healthy control, PD and RBD patients. This dataset contains raw FASTQ files. Sequencing was performed using NovaSeq 6000 S4 PE 100bp. Reads were processed using the 10X Genomics Cell Ranger Single Cell 2.0.0 pipeline. FASTQs generated from sequencing output were aligned to the human GRCh38 reference genome using STAR algorithm 2.7.3a.

open·CC-BY-4.0·zenodo-bio·completeSource
modal

Bulk RNAseq of mouse substantia nigra of wild type and PINK1 KO mice after C.rodentium infection

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Stratton, Jo Anne · Mukherjee, Sriparna · Trudeau, Louis-Eric

1 files · 5.0 KB · pdf

We performed bulk RNAsequencing of substantia nigra from wild type and PINK1 KO mice 26-days post C.rodentium infection. This dataset contains raw fastq files from striatal cells, sorted into 4 groups namely wild type and PINK1 KO uninfected and infected mice. Sequencing was performed using NextSeq500. FASTQs generated from sequencing output were aligned to the mm10 reference genome using STAR aligner.

open·CC-BY-4.0·zenodo-bio·completeSource
modal

Bulk RNAseq of mouse striatum of wild type and PINK1 KO mice after C.rodentium infection

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Stratton, Jo Anne · Mukherjee, Sriparna · Trudeau, Louis-Eric

1 files · 6.1 KB · pdf

We performed bulk RNAsequencing of striatum from wild type and PINK1 KO mice 26-days post C.rodentium infection. This dataset contains raw fastq files from striatal cells, sorted into 4 groups namely wild type and PINK1 KO uninfected and infected mice. Sequencing was performed using NextSeq500. FASTQs generated from sequencing output were aligned to the mm10 reference genome using STAR aligner.

open·CC-BY-4.0·zenodo-bio·completeSource
modal

Single-cell RNAseq of human iPSC-derived wild type and PINK1 KO myeloid cells after lipopolysaccharide and interleukin-1 beta challenge

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Recinto, Sherilyn · Stratton, Jo Anne

1 files · 6.1 KB · pdf

We performed 10X Genomics single-cell RNAsequencing of human iSPC-derived monocytes and macrophages in vitro. Cells were treated with 500 ng/mL lipopolysaccharide (LPS) and 50 ng/mL interleukin-1 beta (IL1b) for 24 hours. This dataset contains raw FASTQ files from myeloid cells, sorted into 4 groups namely monocytes (Mono) and Macrophages (Mac) non-stimulated (NS) and LPS+IL1b-stimulated cells. Sequencing was performed using NovaSeq 6000 S4 PE 100bp. Reads were processed using the 10X Genomics Cell Ranger Single Cell 2.0.0 pipeline. FASTQs generated from sequencing output were aligned to the human GRCh38 reference genome using STAR algorithm 2.7.3a.

open·CC-BY-4.0·zenodo-bio·completeSource
modal

Single-cell RNAseq of lamina propria in wild type and LRRK2 G2019S mice after C. rodentium infection

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Recinto, Sherilyn · Stratton, Jo Anne · Pei, Jessica · et al.

2 files · 6.0 KB · pdf

We performed 10X Genomics single-cell RNAsequencing of colonic lamina propria cells from wild type and LRRK2 G2019S mice following 1-week post C. rodentium infection. The cells were pooled from 3 mice per group of both sexes at 8-12 weeks of age. This dataset contains raw FASTQ files from mouse colonic lamina propria, sorted into 4 groups namely wild type and LRRK2 G2019S uninfected and infected mice. Sequencing was performed using NovaSeq 6000 S4 PE 100bp. Reads were processed using the 10X Genomics Cell Ranger Single Cell 2.0.0 pipeline. FASTQs generated from sequencing output were aligned to the mouse GRCm38 reference genome using STAR algorithm 2.7.3a.

open·CC-BY-4.0·zenodo-bio·completeSource
modal

Single-cell RNAseq of colonic lamina propria in wild type and PINK1 KO mice after C. rodentium infection

0.00

Recinto, Sherilyn · Stratton, Jo Anne

1 files · 5.7 KB · pdf

We performed 10X Genomics single-cell RNA sequencing of colonic lamina propria cells from wild type and PINK1 KO mice following either 1-week or 2-weeks post C. rodentium infection. The cells were pooled from 3 mice per group of both sexes at 8-12 weeks of age. This dataset contains raw FASTQ files from mouse colonic lamina propria, sorted into 8 groups namely wild type and PINK1 KO uninfected and infected mice at 1- or 2-weeks post-infection. Sequencing was performed using NovaSeq 6000 S4 PE 100bp. Reads were processed using the 10X Genomics Cell Ranger Single Cell 2.0.0 pipeline. FASTQs generated from sequencing output were aligned to the mouse GRCm38 reference genome using STAR algorithm 2.7.3a.

open·CC-BY-4.0·zenodo-bio·completeSource
modal

Data for "Reconstructing Europa's atmosphere from H2+ pickup ions detected during the Juno PJ45 flyby"

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Carberry Mogan, Shane

1 files · 17 MB · pdf

This archive contains all data products and Python scripts required to reproduce the figures presented in: Carberry Mogan et al. (2026): "Reconstructing Europa's atmosphere from H2+ pickup ions detected during the Juno PJ45 flyby".

open·CC-BY-4.0·Zenodo·completeSource
modal

"ATHLETIC PERFORMANCE ANALYTICS IN COMBAT SPORTS: CAN DATA-DRIVEN METHODS TRANSFORM HOW FIGHTERS TRAIN AND COMPETE?"

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Rakhimxon Bakhodirxonov

1 files · 595 KB · pdf

open·CC-BY-4.0·Zenodo·completeSource
modal

Dataset For "AUDIT TRANSPARANSI INFORMED CONSENT: ANALISIS KEPATUHAN KEBIJAKAN PRIVASI PLATFORM LAYANAN STREAMING VIDEO (OVER-THE-TOP) DI INDONESIA TERHADAP UU PDP NOMOR 27 TAHUN 2022"

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Putri Lenggo Genni · Tavasya Alia Anjani · Muhammad Fasha Asshofa

3 files · 2.8 MB · csv, pdf, xlsx

open·CC-BY-4.0·Zenodo·completeSource
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