cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.c.3617399_d11.v1
title: Additional file 12: Table S3. of Disrupted cooperation between transcription factors across diverse cancer types

description: List of IRF8â  s targets and those involved in stress response in NSCLC. (XLSX 32 kb)
DOI: 10.6084/m9.figshare.c.3617399_d9.v1
title: Additional file 11: Table S2. of Disrupted cooperation between transcription factors across diverse cancer types

description: Encode DNase-seq data used to filter motif hits. (XLSX 10 kb)
DOI: 10.57702/9z6rjs66
title: Geometrical Illusions Dataset

description: The dataset is a collection of images used to study Geometrical illusions.
DOI: 10.57702/i1nzd59a
title: ForecastingMarketStates˙v3.2

description: Forecasting market states using inverse covariance clustering
DOI: 10.6084/m9.figshare.c.3617399_d7.v1
title: Additional file 7: Table S1. of Disrupted cooperation between transcription factors across diverse cancer types

description: Identified highly dyscooperated TFs of each cancer type. (XLSX 15 kb)
DOI: 10.57702/coz3bn6t
title: Absorption-Based, Passive Range Imaging from Hyperspectral Thermal Measurements

description: This dataset is used for hyperspectral thermal measurements for passive range imaging from atmospheric absorption.
DOI: 10.57702/srm6bpj9
title: AMBIGMT

description: AMBIGMT is a new dataset that covers four language pairs, for translations from English into French (en-fr), German (en-de), Spanish (en-es) or Japanese (en-ja) — 18 sub-tasks in total.
DOI: 10.57702/e9fusb9v
title: Multispectral Image Intrinsic Decomposition via Low Rank Constraint

description: Multispectral image intrinsic decomposition via low rank constraint
DOI: 10.57702/ek2a9v25
title: Multispectral Image Intrinsic Decomposition Dataset

description: Multispectral image intrinsic decomposition dataset
DOI: 10.57702/k8auui2p
title: Leader Class and Conﬁdence Decision Ensemble (LCCDE)

description: The proposed ensemble IDS framework is constructed using XGBoost, LightGBM, and CatBoost, three advanced gradient-boosting ML methods.
DOI: 10.57702/ix6fmk3w
title: CICIDS2017 Dataset

description: The CICIDS2017 dataset is a state-of-the-art general cyber-security dataset including the most updated types of attacks (i.e., DoS, snifﬁng, brute-force, web-attacks, botnets, and inﬁltration attacks).
DOI: 10.57702/9a6a606w
title: SQL Query Grading System

description: The dataset contains all of the tables required for the assignments (which, using the above example, would include at least PROFESSORS, TEACHES and COURSES), along with the following tables, some of which are used to provide the information needed for our proposed system.
DOI: 10.57702/ewgsg8xr
title: Student Table

description: The STUDENT table contains identification information about each student registered for each section.
DOI: 10.57702/rn08rec3
title: Answer Table

description: The ANSWER table holds the AnswerID, the QueryID, and a correct SQL answer for that query.
DOI: 10.57702/0isaac80
title: Streaming Compression of Scientific Data via weak-SINDy∗

description: The dataset is used to test the streaming weak-SINDy algorithm for compressing streaming scientific data.
DOI: 10.57702/g66q2ebw
title: CRSP SP500 market value-weighted stock market index

description: The dataset used in this paper is the CRSP SP500 market value-weighted stock market index.
DOI: 10.57702/avdbr1cd
title: Edge-Direct Visual Odometry

description: Visual odometry algorithm that efficiently utilizes edge pixels to find the relative pose that minimizes the photometric error between images.
DOI: 10.15468/dl.hgn3ux
title: Occurrence Download

description: A dataset containing 12840 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thalassiosiraceae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12840 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037151-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/jdaeqlec
title: Annotated Data for Cancer Genetics Literature

description: The dataset contains annotated data from clinicians for the ascertainment classiﬁcation task and the joint entity-relation extraction task.
DOI: 10.57702/mr28xr2x
title: SpeechBrain 1.0

description: SpeechBrain is an open-source Conversational AI toolkit based on PyTorch, focused particularly on speech processing tasks such as speech recognition, speech enhancement, speaker recognition, text-to-speech, and much more.
DOI: 10.57702/1j8934ur
title: DiffWave

description: DiffWave: A Versatile Diffusion Model for Audio Synthesis.
DOI: 10.57702/66kleo6j
title: Discriminative Training: Learning to Describe Video with Sentences

description: The dataset used in the paper is a collection of video clips paired with sentential labels, where the goal is to learn word meanings from complex and realistic video clips.
DOI: 10.57702/tdf2flk5
title: Depth Estimation and Object Detection

description: The dataset used for depth estimation and object detection.
DOI: 10.57702/hrs9do2a
title: LDP Associated with Entropy Regularisation in Zero-Sum Games

description: The dataset is used to test the large deviation principle for the empirical measures of the particle system.
DOI: 10.15468/dl.37rdpb
title: Occurrence Download

description: A dataset containing 44634 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Phasianus colchicus Linnaeus, 1758",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Observation, Occurrence evidence)",
 "Year is greater than 2000",
 "Country is United States of America",
 "StateProvince is Montana"
 ]
}

 The dataset includes 44634 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037152-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/f63bfrei
title: Towards Robust Relational Causal Discovery

description: Relational causal discovery algorithm that effectively works with the available (nec-essarily imperfect) relational CI tests.
DOI: 10.57702/ex7tbhf8
title: EEG

description: The EEG dataset is used to evaluate the performance of the proposed method.
DOI: 10.57702/fhlhyj8k
title: GEFCom

description: The dataset used in the paper for energy load forecasting.
DOI: 10.57702/h1ghjanr
title: Crazyswarm: A large nano-quadcopter swarm

description: Crazyswarm: A large nano-quadcopter swarm.
DOI: 10.57702/vysc7bwl
title: PAXRay

description: The PAXRay dataset consists of projected chest X-ray images paired with fine-grained anatomical structures.
DOI: 10.57702/3ypi754y
title: Yin-Yang dataset

description: The Yin-Yang dataset is a benchmark for evaluating the performance of question answering systems.
DOI: 10.6084/m9.figshare.c.3616508_d9.v1
title: Additional file 18: Table S10. of Whole transcriptomic analysis of the plant-beneficial rhizobacterium Bacillus amyloliquefaciens SQR9 during enhanced biofilm formation regulated by maize root exudates

description: BLASTP results for each open reading frame in the pks4 cluster (XLSX 13 kb)
DOI: 10.6084/m9.figshare.c.3616508_d6.v1
title: Additional file 5: Table S3. of Whole transcriptomic analysis of the plant-beneficial rhizobacterium Bacillus amyloliquefaciens SQR9 during enhanced biofilm formation regulated by maize root exudates

description: Genes shared by Bacillus amyloliquefaciens SQR9 and B. amyloliquefaciens FZB42 but absent in Bacillus subtilis 168 (Sheet 1), or shared by SQR9 and 168 but absent in FZB42 (Sheet 2). (XLSX 77 kb)
DOI: 10.6084/m9.figshare.c.3616508_d3.v1
title: Additional file 14: Table S8. of Whole transcriptomic analysis of the plant-beneficial rhizobacterium Bacillus amyloliquefaciens SQR9 during enhanced biofilm formation regulated by maize root exudates

description: Composition of maize root exudates analyzed by gas chromatographyâ  mass spectrometry. (XLSX 55 kb)
DOI: 10.57702/hw368inl
title: Time Use Survey (TUS) 2019

description: The Time Use Survey (TUS) 2019 dataset contains information on time spent by individuals on unpaid household and care work, paid work, and non-work activities.
DOI: 10.57702/o46x63ql
title: The Determinants of Democracy Revisited: An Instrumental Variable Bayesian Model Averaging Approach

description: The dataset used in the paper is a comprehensive list of 42 potential determinants of democracy.
DOI: 10.57702/bj3hkeji
title: Visual-Inertial Odometry (VIO) dataset

description: A dataset used for training a recurrent neural network (RNN) to infer positional uncertainties for a model predictive control (MPC) algorithm.
DOI: 10.6084/m9.figshare.c.3616406_d3.v1
title: Additional file 3: of Heterologous Expression and Functional Analysis of Rice GLUTAMATE RECEPTOR-LIKE Family Indicates its Role in Glutamate Triggered Calcium Flux in Rice Roots

description: The information of OsGLR genes in rice. (XLSX 12 kb)
DOI: 10.57702/buor10ge
title: Clusters in Explanation Space: Inferring disease subtypes from model explanations

description: Four datasets: synthetic, Fashion-MNIST, UK Biobank brain imaging, and Cancer Genome Atlas.
DOI: 10.6084/m9.figshare.c.3616406_d1.v1
title: Additional file 10: of Heterologous Expression and Functional Analysis of Rice GLUTAMATE RECEPTOR-LIKE Family Indicates its Role in Glutamate Triggered Calcium Flux in Rice Roots

description: The sequences of primers used in this research. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.c.3616400_d2.v1
title: Additional file 1: of Genomic data mining reveals a rich repertoire of transport proteins in Streptomyces

description: A detailed description of transporters in eleven Streptomyces genomes. The file includs protein IDs, names, annotations, protein lengths, Pfam domains, number of TMSs, and their homologs in TCDB with the BLASTP E-value. (XLSX 918 kb)
DOI: 10.57702/u64e9j1q
title: Training dataset for shallow-water equations

description: The training dataset consists of 20 trajectories of the shallow-water equations with different initial conditions, concatenated together.
DOI: 10.57702/oomv6n8x
title: Testing dataset for shallow-water equations

description: The testing dataset consists of 20 trajectories of the shallow-water equations with different initial conditions, including shifts in the water height and velocity.
DOI: 10.57702/t1rjmaix
title: Transfer learning dataset for shallow-water equations

description: The transfer learning dataset consists of a single trajectory of the shallow-water equations with different initial conditions, sampled with a time-step of 0.1.
DOI: 10.57702/3mah3ggn
title: Harmonized System (HS) Codes

description: The dataset used in the paper is a collection of Harmonized System (HS) codes and their descriptions.
DOI: 10.57702/nekr98ye
title: TextCaps: A dataset for image captioning with reading comprehension

description: TextCaps: A dataset for image captioning with reading comprehension.
DOI: 10.15468/dl.7grr74
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thallassiosiraceae",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 39 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037153-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/a1ny6oox
title: Cora, CiteSeer, Pubmed, and ogbn-arxiv

description: Citation Graphs
DOI: 10.25378/janelia.24256054
title: Manual organelle segmentations (crop220) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of (jrc_ut21-1413-003)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<b>Annotation description</b>: Dense segmentations of extracellular space, plasma membrane, mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, cell, basement membrane, endoplasmic reticulum membrane collective in jrc_ut21-1413-003 using Amira 3D 2021.1, Classic Segmentation Workroom and the 'Using Amira to manually segment organelles in vEM for machine learning V.3' annotation protocol.<b>Annotation ID</b>: crop220<b>Primary Annotator</b>: Woohyun Park<b>Annotation protocol</b>: Using Amira to manually segment organelles in vEM for machine learning V.3 (http://dx.doi.org/10.17504/protocols.io.bp2l61rb5vqe/v3)<b>Software</b>: Amira 3D 2021.1, Classic Segmentation Workroom<b>Annotated voxel size (nm)</b>: 4 x 4 x 4 (x, y, z)<b>Annotated data dimensions (µm)</b>: 1.6 x 1.6 x 1.6 (x, y, z)<b>Annotated data offset (nm)</b>: 49118 x 69630 x 65022 (x, y, z)<b>Classes annotated</b>: extracellular space, plasma membrane, mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, cell, basement membrane, endoplasmic reticulum membrane collective<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_ut21-1413-003/jrc_ut21-1413-003.zarr/recon-1/labels/groundtruth/crop220<b>Source (EM) dataset ID</b>: jrc_ut21-1413-003<b>Source (EM) voxel size (nm)</b>: 8 x 8 x 8 (x, y, z)<b>Source (EM) data dimensions (µm)</b>: 130.42 x 91.22 x 121.19 (x, y, z)<b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.27075529<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_ut21-1413-003<b>Publication:</b> <i>CellMap Segmentation Challenge,</i> 2024.<b>The CellMap Project Team during this time consisted of:</b> David Ackerman, Davis Bennett, Marley Bryant, Hannah Nguyen, Grace Park, Alyson Petruncio, Alannah Post, Jacquelyn Price, Diana Ramirez, Jeff Rhoades, Rebecca Vorimo, Aubrey Weigel, Marwan Zouinkhi, Yurii Zubov.<b>The CellMap Project Team Steering Committee during this time consisted of:</b> Misha Ahrens, Christopher Beck, Teng-Leong Chew, Daniel Feliciano, Jan Funke, Harald Hess, Wyatt Korff, Jennifer Lippincott-Schwartz, Zhe J. Liu, Kayvon Pedram, Stephan Preibisch, Stephan Saalfeld, Ronald Vale, and Aubrey Weigel.
DOI: 10.25378/janelia.24256054.v1
title: Manual organelle segmentations (crop220) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of (jrc_ut21-1413-003)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<b>Annotation description</b>: Dense segmentations of extracellular space, plasma membrane, mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, cell, basement membrane, endoplasmic reticulum membrane collective in jrc_ut21-1413-003 using Amira 3D 2021.1, Classic Segmentation Workroom and the 'Using Amira to manually segment organelles in vEM for machine learning V.3' annotation protocol.<b>Annotation ID</b>: crop220<b>Primary Annotator</b>: Woohyun Park<b>Annotation protocol</b>: Using Amira to manually segment organelles in vEM for machine learning V.3 (http://dx.doi.org/10.17504/protocols.io.bp2l61rb5vqe/v3)<b>Software</b>: Amira 3D 2021.1, Classic Segmentation Workroom<b>Annotated voxel size (nm)</b>: 4 x 4 x 4 (x, y, z)<b>Annotated data dimensions (µm)</b>: 1.6 x 1.6 x 1.6 (x, y, z)<b>Annotated data offset (nm)</b>: 49118 x 69630 x 65022 (x, y, z)<b>Classes annotated</b>: extracellular space, plasma membrane, mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, cytosol, endosome, vesicle, mitochondria, endoplasmic reticulum, cell, basement membrane, endoplasmic reticulum membrane collective<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_ut21-1413-003/jrc_ut21-1413-003.zarr/recon-1/labels/groundtruth/crop220<b>Source (EM) dataset ID</b>: jrc_ut21-1413-003<b>Source (EM) voxel size (nm)</b>: 8 x 8 x 8 (x, y, z)<b>Source (EM) data dimensions (µm)</b>: 130.42 x 91.22 x 121.19 (x, y, z)<b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.27075529<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_ut21-1413-003<b>Publication:</b> <i>CellMap Segmentation Challenge,</i> 2024.<b>The CellMap Project Team during this time consisted of:</b> David Ackerman, Davis Bennett, Marley Bryant, Hannah Nguyen, Grace Park, Alyson Petruncio, Alannah Post, Jacquelyn Price, Diana Ramirez, Jeff Rhoades, Rebecca Vorimo, Aubrey Weigel, Marwan Zouinkhi, Yurii Zubov.<b>The CellMap Project Team Steering Committee during this time consisted of:</b> Misha Ahrens, Christopher Beck, Teng-Leong Chew, Daniel Feliciano, Jan Funke, Harald Hess, Wyatt Korff, Jennifer Lippincott-Schwartz, Zhe J. Liu, Kayvon Pedram, Stephan Preibisch, Stephan Saalfeld, Ronald Vale, and Aubrey Weigel.
DOI: 10.57702/9bcu0et6
title: ChatGPT and Sustained Creativity

description: The dataset contains 3302 creative ideas and 427 creative solutions from 61 college students.
DOI: 10.57702/ajkd34wo
title: DE dataset

description: The dataset DE consists of 10,000 Flickr images labeled as public or private by external viewers.
DOI: 10.6084/m9.figshare.c.3616145_d5.v1
title: Additional file 15: Table S13. of Genome-wide investigation and expression analyses of the pentatricopeptide repeat protein gene family in foxtail millet

description: RNA-seq analysis of PPR gene expression under drought stress treatment (20Â % PEG 6000) in foxtail millet. (XLSX 15Â kb)
DOI: 10.6084/m9.figshare.c.3616154_d2.v1
title: Additional file 5: Table S3. of Pitfalls of improperly procured adjacent non-neoplastic tissue for somatic mutation analysis using next-generation sequencing

description: Detailed information of all somatic mutations in targeted amplicon sequencing (TAS), including coverage, VAF and estimated contamination level. (XLSX 20 kb)
DOI: 10.6084/m9.figshare.c.3616145_d4.v1
title: Additional file 9: Table S8. of Genome-wide investigation and expression analyses of the pentatricopeptide repeat protein gene family in foxtail millet

description: The Ka/Ks ratios and the estimated divergence times for orthologous SiPPR proteins between foxtail millet and Selaginella. (XLSX 38Â kb)
DOI: 10.6084/m9.figshare.c.3616154_d1.v1
title: Additional file 4: Table S2. of Pitfalls of improperly procured adjacent non-neoplastic tissue for somatic mutation analysis using next-generation sequencing

description: Detailed information of all somatic mutations identified by WES, including coverage, variant allele fraction (VAF) and the predicted amino acid changes. (XLSX 19 kb)
DOI: 10.57702/3y9xpiy3
title: ReDial

description: Conversational recommender systems (CRS) aim to capture user's current intentions and provide recommendations through real-time multi-turn conversational interactions.
DOI: 10.6084/m9.figshare.c.3616145_d2.v1
title: Additional file 11: Table S10. of Genome-wide investigation and expression analyses of the pentatricopeptide repeat protein gene family in foxtail millet

description: The Ka/Ks ratios and the estimated divergence times for orthologous SiPPR proteins between foxtail millet and rice. (XLSX 38Â kb)
DOI: 10.6084/m9.figshare.c.3616148_d2.v1
title: Additional file 2 of Multi-omic measurement of mutually exclusive loss-of-function enriches for candidate synthetic lethal gene pairs

description: The RNAi analysis script, performed in R. (R 39 kb)
DOI: 10.6084/m9.figshare.c.3616148_d1.v1
title: Additional file 3: Table S1. of Multi-omic measurement of mutually exclusive loss-of-function enriches for candidate synthetic lethal gene pairs

description: Output from the CCLE genomic workflow (BEEM) and mapping to genes from the Hoffman epigenetic screen, the Costanzo yeast screen and known tumour suppressor genes. Table S2. Output from the CCLE expression (BiGEE) workflow and mapping to genes from the Hoffman epigenetic screen, the Costanzo yeast screen and known tumour suppressor genes. Table S3. Output from the copy genomic (BEEM) workflow and mapping to genes from the Hoffman epigenetic screen, the Costanzo yeast screen and known tumour suppressor genes. Table S4. Epigenetic Analysis: Genomic workflow (BEEM). Table S5. Epigenetic Analysis: Expression workflow (BiGEE). Table S6. Output from the gene expression workflow (BiGEE) mapped to genes from the Lu et al. publication. Table S7. Output from the gene expression workflow (BEEM) mapped to genes from the Lu et al. publication. Table S8. Output from the LUAD Genomic (BEEM) workflow and mapping to genes from the Hoffman epigenetic screen, the Costanzo yeast screen and known tumour suppressor genes. Table S9. Output from the LUAD expression (BiGEE) workflow and mapping to genes from the Hoffman epigenetic screen, the Costanzo yeast screen and known tumour suppressor genes. Table S10. Simulation results for the likelihood method (p value), Kurtosis method (p value), bimodal index (1.1â  1.5) and BIG (BiSEp) (p value). (XLSX 8250 kb)
DOI: 10.57702/bcbksvvf
title: Elevation map generation

description: The dataset is used to generate discrete elevation maps from USGS point clouds or 3D city models.
DOI: 10.6084/m9.figshare.c.3616127_d2.v1
title: Additional file 1: of Intimate partner violence against married rural-to-urban migrant workers in eastern China: prevalence, patterns, and associated factors

description: Data used in this paper. Description of data: data of socio-demographic information and intimate partner violence among migrant workers in eastern China. (XLS 1363 kb)
DOI: 10.57702/dn6oebvi
title: DIV2K (1-800)

description: The dataset used for training and testing the proposed Multi-scale Dense Cross Network (MDCN) for image super-resolution.
DOI: 10.6084/m9.figshare.c.3616070_d4.v1
title: Additional file 1: Table S4. of Genome-wide characterization of non-reference transposons in crops suggests non-random insertion

description: Numbers of non-ref TEs and reads depths in rice, maize and sorghum accessions. (XLS 53 kb)
DOI: 10.6084/m9.figshare.c.3616070_d5.v1
title: Additional file 5: Table S7. of Genome-wide characterization of non-reference transposons in crops suggests non-random insertion

description: GO enrichment of genes with non-ref TEs in rice, maize and sorghum. (XLS 55 kb)
DOI: 10.57702/k5wh1xxj
title: ParlaMint

description: The ParlaMint dataset is a richly annotated dataset of Slovenian parliamentary transcriptions, covering all sessions of the National Assembly from August 2014 to July 2020.
DOI: 10.6084/m9.figshare.c.3616070_d3.v1
title: Additional file 3: Table S5. of Genome-wide characterization of non-reference transposons in crops suggests non-random insertion

description: Classification of non-ref TEs in crops. (XLS 62 kb)
DOI: 10.57702/ikj1y17l
title: MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior

description: A large-scale, multi-agent video and trajectory benchmark to assess the quality of learned behavior representations.
DOI: 10.57702/k3uoiqbg
title: Atrial Segmentation Challenge dataset

description: Semantic object segmentation is a fundamental task in medical image analysis and has been widely used in automatic delineation of regions of interest in 3D medical images, such as cells, tissues or organs.