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7
datasets available to search
ShareScore release 0.9.0
Dataset results
7 results for “enpkg”
ENPKG from 1,600 plant extracts
<p>These files constitute the Experimental Natural Products Knowledge Graph (ENPKG) generated from the LC-MS analysis and the anti-trypanosomatid screening of a 1,600 plant extracts dataset.</p>
Input and enriched files for the pf1600 dataset - ENPKG
<p>Input files (.mgf spectra and .tsv metadata) and enriched files (metabolite annotation, molecular networks and taxonomical resolution results) for the pf1600 dataset described at <a href="https://doi.org/10.1093/gigascience/giac124">https://doi.org/10.1093/gigascience/giac124</a> and used prior to their semantic enrichment and conversion to knowledge graphs as described in <a href="https://doi.org/10.1021/acscentsci.3c00800">https://doi.org/10.1021/acscentsci.3c00800</a>.</p> <p> </p> <p>A typical directory looks like :</p> <p> </p> <p>├── neg<br>│ ├── isdb <br>│ │ ├── config.yaml<br>│ │ ├── VGF159_A02_isdb_neg.tsv<br>│ │ ├── VGF159_A02_isdb_reweighted_flat_neg.tsv<br>│ │ ├── VGF159_A02_isdb_reweighted_neg.tsv<br>│ │ ├── VGF159_A02_treemap_chemo_counted_neg.html<br>│ │ └── VGF159_A02_treemap_chemo_intensity_neg.html<br>│ ├── molecular_network<br>│ │ ├── config.yaml<br>│ │ ├── VGF159_A02_mn_metadata_neg.tsv<br>│ │ └── VGF159_A02_mn_neg.graphml<br>│ ├── VGF159_A02_features_ms2_neg.mgf<br>│ ├── VGF159_A02_features_quant_neg.csv<br>│ ├── VGF159_A02_lcms_method_params_neg.txt<br>│ ├── VGF159_A02_lcms_processing_params_neg.xml<br>│ ├── VGF159_A02_sirius_neg.mgf<br>│ └── VGF159_A02_WORKSPACE_SIRIUS<br>│ ├── canopus_compound_summary.tsv<br>│ ├── canopus_formula_summary_adducts.tsv<br>│ ├── canopus_formula_summary.tsv<br>│ ├── canopus_neg.tsv<br>│ ├── canopus_npc_neg.tsv<br>│ ├── canopus_npc.tsv<br>│ ├── canopus.tsv<br>│ ├── compound_identifications_adducts.tsv<br>│ ├── compound_identifications.tsv<br>│ ├── csi_fingerid_neg.tsv<br>│ ├── csi_fingerid.tsv<br>│ ├── formula_identifications_adducts.tsv<br>│ ├── formula_identifications.tsv<br>│ ├── params.yml<br>│ └── report.mztab<br>├── pos<br>│ ├── isdb<br>│ │ ├── config.yaml<br>│ │ ├── VGF159_A02_isdb_pos.tsv<br>│ │ ├── VGF159_A02_isdb_reweighted_flat_pos.tsv<br>│ │ ├── VGF159_A02_isdb_reweighted_pos.tsv<br>│ │ ├── VGF159_A02_treemap_chemo_counted_pos.html<br>│ │ └── VGF159_A02_treemap_chemo_intensity_pos.html<br>│ ├── molecular_network<br>│ │ ├── config.yaml<br>│ │ ├── VGF159_A02_mn_metadata_pos.tsv<br>│ │ └── VGF159_A02_mn_pos.graphml<br>│ ├── VGF159_A02_features_ms2_pos.mgf<br>│ ├── VGF159_A02_features_quant_pos.csv<br>│ ├── VGF159_A02_lcms_method_params_pos.txt<br>│ ├── VGF159_A02_lcms_processing_params_pos.xml<br>│ ├── VGF159_A02_sirius_pos.mgf<br>│ └── VGF159_A02_WORKSPACE_SIRIUS<br>│ ├── canopus_neg.tsv<br>│ ├── canopus_summary_adducts.tsv<br>│ ├── canopus_summary.tsv<br>│ ├── canopus.tsv<br>│ ├── compound_identifications_adducts.tsv<br>│ ├── compound_identifications.tsv<br>│ ├── csi_fingerid_neg.tsv<br>│ ├── csi_fingerid.tsv<br>│ ├── formula_identifications_adducts.tsv<br>│ ├── formula_identifications.tsv<br>│ ├── npc_summary.csv<br>│ ├── params.yml<br>│ └── report.mztab<br>├── rdf<br>│ └── graph_params.yaml<br>├── taxo_output<br>│ ├── params.yaml<br>│ ├── VGF159_A02_species.json<br>│ ├── VGF159_A02_taxo_metadata.tsv<br>│ └── VGF159_A02_taxon_info.json<br>└── VGF159_A02_metadata.tsv</p>
DBGI tropical pilot ENPKG files
<p>DBGI tropical pilot mass spectrometry dataset</p> <p>ttl files generated through the ENPK workflow</p>
ENPKG graph schema
<p>Schema of the Experimental Natural Products Knowledge Graph</p>
enpkg_graph_builder_output
<p>Output of https://github.com/enpkg/enpkg_graph_builder for https://zenodo.org/record/8252033</p>
integrate_trydb_globi_enpkg
<p>This data contains all files used for creating the database with the codes on github repo: <a href="https://github.com/digital-botanical-gardens-initiative/rdflib_trydb_globi">https://github.com/digital-botanical-gardens-initiative/rdflib_trydb_globi</a>. Clone the repo, download this folder and follow instructions on the repo.</p>
enpkg_toy_dataset
<p>A toy dataset for the PF1600 ENPKG data</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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.
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.
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.
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.