cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14861664
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: This dataset provides multiple tables for JUMP exploration:- Full datasets contain precomputed analysis: - significance - is the phenotypic activity of a given value (see broad.io/crispr_feature for a formal definition), while distance contains the cosine distance of all perturbations vs all other perturbations within a given dataset.- The features and matches files contain a selection of the raw precomputed analyses and are intended for consumption on a web browser through the Datasette tool (see https://github.com/broadinstitute/monorepo/tree/main/libs/jump_rr#quick-data-access for details).- Lastly, galleries are for quick visualization of the images with all channels collapsed into one.
DOI: 10.5281/zenodo.14866185
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: This dataset provides multiple tables for JUMP exploration: - Full datasets contain precomputed analysis:



significance - is the phenotypic activity of a given value (see broad.io/crispr_feature for a formal definition), while distance contains the cosine distance of all perturbations vs all other perturbations within a given dataset.

The features and matches files contain a selection of the raw precomputed analyses and are intended for consumption on a web browser through the Datasette tool (see here for details).

Lastly, galleries are for quick visualization of the images with all channels collapsed into one.We also include raw cosine similarities for anyone who needs access to those.
DOI: 10.5281/zenodo.15029005
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: This dataset provides multiple tables for JUMP exploration: - Full datasets contain precomputed analysis:

significance - is the phenotypic activity of a given value (see broad.io/crispr_feature for a formal definition), while distance contains the cosine distance of all perturbations vs all other perturbations within a given dataset.

The features and matches files contain a selection of the raw precomputed analyses and are intended for consumption on a web browser through the Datasette tool (see here for details).

Lastly, galleries are for quick visualization of the images with all channels collapsed into one.We also include raw cosine similarities for anyone who needs access to those.
DOI: 10.5281/zenodo.15477676
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: "Step by step tutorial on the jump hub, and details on the code that produces this tables on our monorepo.
DOI: 10.5281/zenodo.15602329
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: Step by step tutorial on the jump hub", and details on the code that produces this tables on our monorepo.
DOI: 10.5281/zenodo.15603007
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: Step by step tutorial on the jump hub", and details on the code that produces this tables on our monorepo.
DOI: 10.5281/zenodo.10416619
title: JUMP CRISPR (+anti)correlated cosine similarities
DOI: 10.5281/zenodo.10453148
title: JUMP CRISPR (+anti)correlated cosine similarities
DOI: 10.5281/zenodo.10453176
title: JUMP CRISPR (+anti)correlated cosine similarities
DOI: 10.5281/zenodo.10453260
title: JUMP CRISPR (+anti)correlated cosine similarities
DOI: 10.5281/zenodo.10453299
title: JUMP CRISPR (+anti)correlated cosine similarities
DOI: 10.5281/zenodo.10456114
title: JUMP CRISPR (+anti)correlated cosine similarities
DOI: 10.5281/zenodo.10456222
title: JUMP CRISPR (+anti)correlated cosine similarities
DOI: 10.5281/zenodo.10457467
title: JUMP CRISPR (+anti)correlated cosine similarities
DOI: 10.5281/zenodo.10535937
title: JUMP CRISPR and ORF (+anti)correlated cosine distances
DOI: 10.5281/zenodo.10535944
title: JUMP CRISPR and ORF (+anti)correlated cosine distances
DOI: 10.5281/zenodo.10542727
title: JUMP CRISPR and ORF (+anti)correlated cosine distances
DOI: 10.5281/zenodo.10552057
title: JUMP CRISPR and ORF (+anti)correlated cosine distances
DOI: 10.5281/zenodo.10573603
title: JUMP CRISPR and ORF (+anti)correlated cosine distances
DOI: 10.5281/zenodo.10573614
title: JUMP CRISPR and ORF (+anti)correlated cosine distances
DOI: 10.5281/zenodo.10689955
title: JUMP CRISPR and ORF (+anti)correlated cosine distances
DOI: 10.5281/zenodo.10823580
title: JUMP CRISPR and ORF (+anti)correlated cosine distances
DOI: 10.5281/zenodo.10871258
title: JUMP CRISPR and ORF (+anti)correlated cosine distances
DOI: 10.5281/zenodo.10871270
title: JUMP CRISPR and ORF (+anti)correlated cosine distances
DOI: 10.5281/zenodo.11114548
title: JUMP CRISPR and ORF (+anti)correlated cosine distances
DOI: 10.5281/zenodo.11114557
title: JUMP CRISPR and ORF (+anti)correlated cosine distances
DOI: 10.5281/zenodo.11114609
title: JUMP CRISPR and ORF (+anti)correlated cosine distances
DOI: 10.5281/zenodo.11166954
title: JUMP Exploration databases
DOI: 10.5281/zenodo.11167205
title: JUMP Exploration databases
DOI: 10.5281/zenodo.11167320
title: JUMP Exploration databases
DOI: 10.5281/zenodo.11188382
title: JUMP Exploration databases
DOI: 10.5281/zenodo.12762905
title: JUMP Exploration databases
DOI: 10.5281/zenodo.12766454
title: JUMP Exploration databases
DOI: 10.5281/zenodo.12775236
title: JUMP Exploration databases
DOI: 10.5281/zenodo.13256223
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: This dataset provides multiple tables for JUMP exploration:- Full datasets contain precomputed analysis: - significance - is the phenotypic activity of a given value (see broad.io/crispr_feature for a formal definition), while distance contains the cosine distance of all perturbations vs all other perturbations within a given dataset.- The features and matches files contain a selection of the raw precomputed analyses and are intended for consumption on a web browser through the Datasette tool (see broad.io/jump-explore for details).- Lastly, galleries are for quick visualization of the images with all channels collapsed into one.
DOI: 10.5281/zenodo.13259350
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: This dataset provides multiple tables for JUMP exploration:- Full datasets contain precomputed analysis: - significance - is the phenotypic activity of a given value (see broad.io/crispr_feature for a formal definition), while distance contains the cosine distance of all perturbations vs all other perturbations within a given dataset.- The features and matches files contain a selection of the raw precomputed analyses and are intended for consumption on a web browser through the Datasette tool (see broad.io/jump-explore for details).- Lastly, galleries are for quick visualization of the images with all channels collapsed into one.
DOI: 10.5281/zenodo.14045059
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: This dataset provides multiple tables for JUMP exploration:- Full datasets contain precomputed analysis: - significance - is the phenotypic activity of a given value (see broad.io/crispr_feature for a formal definition), while distance contains the cosine distance of all perturbations vs all other perturbations within a given dataset.- The features and matches files contain a selection of the raw precomputed analyses and are intended for consumption on a web browser through the Datasette tool (see broad.io/jump-explore for details).- Lastly, galleries are for quick visualization of the images with all channels collapsed into one.
DOI: 10.5281/zenodo.14045060
title: Processed JUMP Datasets: For Web and programmatic exploration.

description:  









Description



 

This dataset provides multiple tables for JUMP exploration:- Full datasets contain precomputed analysis: - significance - is the phenotypic activity of a given value (see broad.io/crispr_feature for a formal definition), while distance contains the cosine distance of all perturbations vs all other perturbations within a given dataset.- The features and matches files contain a selection of the raw precomputed analyses and are intended for consumption on a web browser through the Datasette tool (see broad.io/jump-explore for details).

- Lastly, galleries are for quick visualization of the images with all channels collapsed into one (these may be temporarily absent in the latest version of the dataset, you can find them in the previous ones).
DOI: 10.5281/zenodo.14642120
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: This dataset provides multiple tables for JUMP exploration:- Full datasets contain precomputed analysis: - significance - is the phenotypic activity of a given value (see broad.io/crispr_feature for a formal definition), while distance contains the cosine distance of all perturbations vs all other perturbations within a given dataset.- The features and matches files contain a selection of the raw precomputed analyses and are intended for consumption on a web browser through the Datasette tool (see https://github.com/broadinstitute/monorepo/tree/main/libs/jump_rr#quick-data-access for details).- Lastly, galleries are for quick visualization of the images with all channels collapsed into one.
DOI: 10.5281/zenodo.14642166
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: This dataset provides multiple tables for JUMP exploration:

- Full datasets contain precomputed analysis:

- significance - is the phenotypic activity of a given value (see broad.io/crispr_feature for a formal definition), while distance contains the cosine distance of all perturbations vs all other perturbations within a given dataset.

- The features and matches files contain a selection of the raw precomputed analyses and are intended for consumption on a web browser through the Datasette tool (see https://github.com/broadinstitute/monorepo/tree/main/libs/jump_rr#quick-data-access for details).

- Lastly, galleries are for quick visualization of the images with all channels collapsed into one.
DOI: 10.5281/zenodo.14648932
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: This dataset provides multiple tables for JUMP exploration:- Full datasets contain precomputed analysis: - significance - is the phenotypic activity of a given value (see broad.io/crispr_feature for a formal definition), while distance contains the cosine distance of all perturbations vs all other perturbations within a given dataset.- The features and matches files contain a selection of the raw precomputed analyses and are intended for consumption on a web browser through the Datasette tool (see https://github.com/broadinstitute/monorepo/tree/main/libs/jump_rr#quick-data-access for details).- Lastly, galleries are for quick visualization of the images with all channels collapsed into one.
DOI: 10.5281/zenodo.14649043
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: This dataset provides multiple tables for JUMP exploration:- Full datasets contain precomputed analysis: - significance - is the phenotypic activity of a given value (see broad.io/crispr_feature for a formal definition), while distance contains the cosine distance of all perturbations vs all other perturbations within a given dataset.- The features and matches files contain a selection of the raw precomputed analyses and are intended for consumption on a web browser through the Datasette tool (see https://github.com/broadinstitute/monorepo/tree/main/libs/jump_rr#quick-data-access for details).- Lastly, galleries are for quick visualization of the images with all channels collapsed into one.
DOI: 10.5281/zenodo.14649178
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: This dataset provides multiple tables for JUMP exploration:- Full datasets contain precomputed analysis: - significance - is the phenotypic activity of a given value (see broad.io/crispr_feature for a formal definition), while distance contains the cosine distance of all perturbations vs all other perturbations within a given dataset.- The features and matches files contain a selection of the raw precomputed analyses and are intended for consumption on a web browser through the Datasette tool (see https://github.com/broadinstitute/monorepo/tree/main/libs/jump_rr#quick-data-access for details).- Lastly, galleries are for quick visualization of the images with all channels collapsed into one.
DOI: 10.5281/zenodo.14649207
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: This dataset provides multiple tables for JUMP exploration:- Full datasets contain precomputed analysis: - significance - is the phenotypic activity of a given value (see broad.io/crispr_feature for a formal definition), while distance contains the cosine distance of all perturbations vs all other perturbations within a given dataset.- The features and matches files contain a selection of the raw precomputed analyses and are intended for consumption on a web browser through the Datasette tool (see https://github.com/broadinstitute/monorepo/tree/main/libs/jump_rr#quick-data-access for details).- Lastly, galleries are for quick visualization of the images with all channels collapsed into one.
DOI: 10.5281/zenodo.14751826
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: This dataset provides multiple tables for JUMP exploration:- Full datasets contain precomputed analysis: - significance - is the phenotypic activity of a given value (see broad.io/crispr_feature for a formal definition), while distance contains the cosine distance of all perturbations vs all other perturbations within a given dataset.- The features and matches files contain a selection of the raw precomputed analyses and are intended for consumption on a web browser through the Datasette tool (see https://github.com/broadinstitute/monorepo/tree/main/libs/jump_rr#quick-data-access for details).- Lastly, galleries are for quick visualization of the images with all channels collapsed into one.
DOI: 10.5281/zenodo.14756990
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: This dataset provides multiple tables for JUMP exploration:- Full datasets contain precomputed analysis: - significance - is the phenotypic activity of a given value (see broad.io/crispr_feature for a formal definition), while distance contains the cosine distance of all perturbations vs all other perturbations within a given dataset.- The features and matches files contain a selection of the raw precomputed analyses and are intended for consumption on a web browser through the Datasette tool (see https://github.com/broadinstitute/monorepo/tree/main/libs/jump_rr#quick-data-access for details).- Lastly, galleries are for quick visualization of the images with all channels collapsed into one.
DOI: 10.5281/zenodo.14812549
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: This dataset provides multiple tables for JUMP exploration:- Full datasets contain precomputed analysis: - significance - is the phenotypic activity of a given value (see broad.io/crispr_feature for a formal definition), while distance contains the cosine distance of all perturbations vs all other perturbations within a given dataset.- The features and matches files contain a selection of the raw precomputed analyses and are intended for consumption on a web browser through the Datasette tool (see https://github.com/broadinstitute/monorepo/tree/main/libs/jump_rr#quick-data-access for details).- Lastly, galleries are for quick visualization of the images with all channels collapsed into one.
DOI: 10.5281/zenodo.14990962
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: This dataset provides multiple tables for JUMP exploration: - Full datasets contain precomputed analysis:

significance - is the phenotypic activity of a given value (see broad.io/crispr_feature for a formal definition), while distance contains the cosine distance of all perturbations vs all other perturbations within a given dataset.

The features and matches files contain a selection of the raw precomputed analyses and are intended for consumption on a web browser through the Datasette tool (see here for details).

Lastly, galleries are for quick visualization of the images with all channels collapsed into one.We also include raw cosine similarities for anyone who needs access to those.
DOI: 10.5281/zenodo.14991627
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: This dataset provides multiple tables for JUMP exploration: - Full datasets contain precomputed analysis:

significance - is the phenotypic activity of a given value (see broad.io/crispr_feature for a formal definition), while distance contains the cosine distance of all perturbations vs all other perturbations within a given dataset.

The features and matches files contain a selection of the raw precomputed analyses and are intended for consumption on a web browser through the Datasette tool (see here for details).

Lastly, galleries are for quick visualization of the images with all channels collapsed into one.We also include raw cosine similarities for anyone who needs access to those.
DOI: 10.5281/zenodo.15026288
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: This dataset provides multiple tables for JUMP exploration: - Full datasets contain precomputed analysis:

significance - is the phenotypic activity of a given value (see broad.io/crispr_feature for a formal definition), while distance contains the cosine distance of all perturbations vs all other perturbations within a given dataset.

The features and matches files contain a selection of the raw precomputed analyses and are intended for consumption on a web browser through the Datasette tool (see here for details).

Lastly, galleries are for quick visualization of the images with all channels collapsed into one.We also include raw cosine similarities for anyone who needs access to those.
DOI: 10.5281/zenodo.15602004
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: Step by step tutorial on the jump hub", and details on the code that produces this tables on our monorepo.
DOI: 10.5281/zenodo.15602332
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: Step by step tutorial on the jump hub", and details on the code that produces this tables on our monorepo.
DOI: 10.5281/zenodo.15603816
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: Step by step tutorial on the jump hub", and details on the code that produces this tables on our monorepo.
DOI: 10.5281/zenodo.15625009
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: Step by step tutorial on the jump hub", and details on the code that produces this tables on our monorepo.
DOI: 10.5281/zenodo.15625708
title: Processed JUMP Datasets: For Web and programmatic exploration.

description: Step by step tutorial on the jump hub", and details on the code that produces this tables on our monorepo.
DOI: 10.15468/dl.ehjyts
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptella villiersi Hewitt, 1935",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031240-250525065834625/datasets/export for details.
DOI: 10.7303/syn53133024.1
title: 2024DataRelease_BulkRNASequencing_Rawfastq
DOI: 10.15468/dl.mnjx29
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptis stenodactylus Pfeffer, 1893",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.0251 -31.3959,30.5701 -30.7329,30.5701 -28.5786,25.5395 -28.5786,25.5395 -32.9007,28.2048 -32.9007,28.5753 -32.6569,29.4902 -31.7517,30.0251 -31.3959))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031241-250525065834625/datasets/export for details.
DOI: 10.7278/s5d-n96s-3gkr
title: Large Eddy Simulations of Tall Vegetated Canopies: Momentum Statistics and TKE Budget
DOI: 10.3886/e113838
title: Replication data for: Estimating the Deterrent Effect of Incarceration Using Sentencing Enhancements

description: Increasing criminal sanctions may reduce crime through two primary mechanisms: deterrence and incapacitation. Disentangling their effects is crucial for optimal policy setting. I use sentence enhancements due to the introduction of state add-on gun laws to isolate the deterrent effect of incarceration. Using cross-state variation in the timing of law passage dates, I find that the average add-on gun law results in a roughly 5 percent decline in gun robberies within the first 3 years. This result is robust to a number of specification tests and does not appear to be associated with large spillovers to other types of crime. (JEL K14, K42)
DOI: 10.3886/e113838v1-181243
title: Replication data for: Estimating the Deterrent Effect of Incarceration Using Sentencing Enhancements

description: Increasing criminal sanctions may reduce crime through two primary mechanisms: deterrence and incapacitation. Disentangling their
effects is crucial for optimal policy setting. I use sentence enhancements
due to the introduction of state add-on gun laws to isolate the deterrent effect of incarceration. Using cross-state variation in the timing of law passage dates, I find that the average add-on gun law results in a roughly 5 percent decline in gun robberies within the first 3 years. This result is robust to a number of specification tests and does not appear to be associated with large spillovers to other types of crime. (JEL K14, K42)
DOI: 10.34740/kaggle/dsv/12111130
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.eceu2y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthroleptis stenodactylus Pfeffer, 1893",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.5701 -24.0715,25.5395 -24.0715,25.5395 -28.5786,30.5701 -28.5786,30.5701 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031242-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29270888
title: <b>A machine-learning informed circulating microbial DNA panel for early diagnosis of esophageal adenocarcinoma</b>

description: This is the annotated microbiome data of the esophageal adenocarcinoma which is related to our research "A machine-learning informed circulating microbial DNA panel for early diagnosis of esophageal adenocarcinoma".
DOI: 10.6084/m9.figshare.29270888.v1
title: <b>A machine-learning informed circulating microbial DNA panel for early diagnosis of esophageal adenocarcinoma</b>

description: This is the annotated microbiome data of the esophageal adenocarcinoma which is related to our research "A machine-learning informed circulating microbial DNA panel for early diagnosis of esophageal adenocarcinoma".
DOI: 10.7303/syn53132831.1
title: 2024DataRelease_WholeExomeSeq_Rawfastq