cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.c.3662366_d779
title: Full body CT scan of a Sphyrna zygaena (ZMA.PISC.108725)

description: This file includes 2095 DICOM files of a female Sphyrna zygaena specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber ZMA.PISC.108725. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.57702/9h1mvrqo
title: Generative Kernel Continual Learning

description: Generative kernel continual learning dataset
DOI: 10.57702/khlbsxj6
title: A Faster Patch Ordering Method for Image Denoising

description: The patch ordering method for image denoising uses √n by √n overlapping image patches.
DOI: 10.6084/m9.figshare.c.3662366_d768
title: Full body CT scan of a Sphyrna tudes

description: This file includes 968 DICOM files of a female Sphyrna tudes specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands without a registrationnumber. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.6084/m9.figshare.c.3662366_d774
title: Full body CT scan of a Heterodontus francisci (ZMA.PISC.108688)

description: This file includes 1018 DICOM files of a female Heterodontus francisci specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber ZMA.PISC.108688. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.57702/shu4y57e
title: C3

description: C3 is a multiple-choice reading comprehension dataset. Here we use the C3 dataset4 proposed in [32], which is a competition dataset. It is necessary to construct pseudo-evidence labels for the training set, while the validation set has manually annotated evidence labels.
DOI: 10.6084/m9.figshare.c.3662366_d780
title: Full body CT scan of a Sphyrna tudes (ZMA.PISC.109130)

description: This file includes 1738 DICOM files of a Sphyrna tudes specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber ZMA.PISC.109130. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.6084/m9.figshare.c.3662366_d749
title: Full body CT scan of a Squalus suckleyi (RMNH.PISC.4322)

description: This file includes 1639 DICOM files of a male Squalus suckleyi specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber RMNH.PISC.4322. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.57702/9ducaxsk
title: DeepFake Detection using Fused Convolutional Neural Network Predictions

description: Deepfakes are synthetically generated images, videos or audios, which fraudsters use to manipulate legitimate information. The proposed technique outperforms state-of-the-art models with 96.5% accuracy, when tested on publicly available DeepFake Detection Challenge (DFDC) test data, comprising of 400 videos.
DOI: 10.57702/ba4jkrei
title: Computed Tomographic Beam Hardening Artifacts: Mathematical Characterization and Analysis

description: The proposed learning method aims to correct only the main sources of beam-hardening artifacts, while leaving fine data structures intact.
DOI: 10.57702/9u85jwzx
title: SNLI, MultiNLI, SciTail, and Quora Question Pairs

description: The dataset used for Natural Language Inference task, which involves a premise P = {p0, p1,..., pm−1} of m words and a hypothesis H = {h0, h1,..., hn−1} of n words, and aims to find a logic relationship R between P and H.
DOI: 10.17863/cam.10421
title: Research data supporting "Evaluation of the response of a vaulted masonry structure to differential settlements using point cloud data and limit analyses"

description: Raw data, processing algorithms and paper figure data
DOI: 10.6084/m9.figshare.c.3662366_d709.v1
title: Full body CT scan of a Squatina squatina (RMNH.PISC.24270)

description: This file includes 2565 DICOM files of a female Squatina squatina specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber RMNH.PISC.24270. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.6084/m9.figshare.c.3662366_d720.v1
title: Full body CT scan of a Halaelurus boesemani (RMNH.PISC.34025)

description: This file includes 531 DICOM files of a male Halaelurus boesemani specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber RMNH.PISC.34025. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.57702/6bo5dvkz
title: Tracking-by-Animation

description: The proposed Tracking-by-Animation (TBA) framework achieves unsupervised end-to-end learning of MOT tasks.
DOI: 10.6084/m9.figshare.c.3662366_d707.v1
title: Full body CT scan of a Squatina squatina (RMNH.PISC.24047)

description: This file includes 2177 DICOM files of a male Squatina squatina specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber RMNH.PISC.24047. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.6084/m9.figshare.c.3662366_d704.v1
title: Full body CT scan of a Mustelus higmani (RMNH.PISC.23320)

description: This file includes 1102 DICOM files of a female Mustelus higmani specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber RMNH.PISC.23320. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.6084/m9.figshare.c.3662366_d719.v1
title: Full body CT scan of an Atelomycterus marmoratus (RMNH.PISC.34024.b)

description: This file includes 1153 DICOM files of a male Atelomycterus marmoratus specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber RMNH.PISC.34024.b. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.57702/fw5mmml7
title: Admetlab 2.0

description: The Admetlab 2.0 dataset is an integrated online platform for accurate and comprehensive predictions of admet properties.
DOI: 10.57702/atawpi3w
title: NeuFlow: Real-time, High-accuracy Optical Flow Estimation on Robots

description: Optical flow estimation on edge devices while ensuring high accuracy.
DOI: 10.6084/m9.figshare.c.3662366_d717.v1
title: Full body CT scan of a Halaelurus boesemani (RMNH.PISC.33989)

description: This file includes 377 DICOM files of a female Halaelurus boesemani specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber RMNH.PISC.33989. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.6084/m9.figshare.c.3662366_d737.v1
title: Full body CT scan of a Scymnodalatia albicauda (RMNH.PISC.37980)

description: This file includes 1867 DICOM files of a female Scymnodalatia albicauda specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber RMNH.PISC.37980. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.6084/m9.figshare.c.3662366_d724.v1
title: Full body CT scan of a Squalus megalops (RMNH.PISC.34046)

description: This file includes 648 DICOM files of a male Squalus megalops specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber RMNH.PISC.34046. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.57702/6gt85c3f
title: Animals with Attributes (AwA) dataset

description: The Animals with Attributes (AwA) dataset consists of 50 classes of animals, with 30,475 images in total.
DOI: 10.57702/2099wsl3
title: NVRadarNet

description: NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving
DOI: 10.57702/34bmylpg
title: Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level

description: Larger language models have higher accu- racy on average, but are they better on ev- ery single instance (datapoint)?
DOI: 10.57702/94r6oj1b
title: MNLI, QQP, and SST-2

description: The dataset used in this paper consists of three tasks: Multi-Genre Natural Language Inference (MNLI), Quora Question Pairs (QQP), and Stanford Sentiment Treebank (SST-2).
DOI: 10.57702/4j4nih11
title: BCNet: Learning Body and Cloth Shape from A Single Image

description: A dataset for training the skinning weight network with neutral garments and ground truth skinning weights.
DOI: 10.6084/m9.figshare.c.3757208_d18.v1
title: Daily Maximum Temperatures quantile mapped to observations (realizations 71-80)

description: Simulated daily maximum surface temperature quantile mapped to observations (realizations 71-80)
DOI: 10.6084/m9.figshare.c.3757208_d30.v1
title: Daily Minimum Temperatures quantile mapped to observations (realizations 71-80)

description: Simulated daily minimum surface temperature quantile mapped to observations (realizations 71-80)
DOI: 10.6084/m9.figshare.c.3757208_d7.v1
title: Daily Maximum Temperatures quantile mapped to observations (realizations 31-40)

description: Simulated daily maximum surface temperature quantile mapped to observations (realizations 31-40)
DOI: 10.6084/m9.figshare.c.3757208_d38.v1
title: Daily Maximum Temperatures (realizations 51-60)

description: Simulated daily maximum surface temperature (realizations 51-60)
DOI: 10.6084/m9.figshare.c.3757208_d36.v1
title: Daily Maximum Temperatures (realizations 61-70)

description: Simulated daily maximum surface temperature (realizations 61-70)
DOI: 10.6084/m9.figshare.c.3757208_d4
title: Daily Maximum Temperatures quantile mapped to observations (realizations 41-50)

description: Simulated daily maximum surface temperature quantile mapped to observations (realizations 41-50)
DOI: 10.6084/m9.figshare.c.3757208_d32.v1
title: Observed daily maximum temperatures

description: Daily maximum temperatures based on the truncated NARR reanalysis data (using 3000 leading EOFs, which account for over 99% of the total surface temperature variance over land).
DOI: 10.57702/zayux0ku
title: TREC 2019 Deep Learning (Passage Subtask)

description: The TREC 2019 Deep Learning (Passage Subtask) dataset consists of 43 manually-judged queries using four relevance grades (215 relevance assessments per query, on average).
DOI: 10.6084/m9.figshare.c.3757208_d20.v1
title: Daily Maximum Temperatures quantile mapped to observations (realizations 81-90)

description: Simulated daily maximum surface temperature quantile mapped to observations (realizations 81-90)
DOI: 10.6084/m9.figshare.c.3757208_d34.v1
title: Daily Maximum Temperatures (realizations 1-10)

description: Simulated daily maximum surface temperature (realizations 1-10)
DOI: 10.6084/m9.figshare.c.3757208_d40.v1
title: Daily Maximum Temperatures (realizations 81-90)

description: Simulated daily maximum surface temperature (realizations 81-90)
DOI: 10.57702/53518pxm
title: TREC 2020 Deep Learning (Passage Subtask)

description: The TREC 2020 Deep Learning (Passage Subtask) dataset consists of 54 queries with manual judgments from NIST annotators (211 relevance assessments per query, on average).
DOI: 10.6084/m9.figshare.c.3757208_d42.v1
title: Daily Maximum Temperatures (realizations 91-100)

description: Simulated daily maximum surface temperature (realizations 91-100)
DOI: 10.6084/m9.figshare.c.3757208_d37
title: Daily Minimum Temperatures (realizations 31-40)

description: Simulated daily minimum surface temperature (realizations 31-40)
DOI: 10.6084/m9.figshare.c.3757208_d53.v1
title: Daily Minimum Temperatures (realizations 91-100)

description: Simulated daily minimum surface temperature (realizations 91-100)
DOI: 10.23673/re-496
title: Dataset of archaeobotanical data from Estonian archaeological sites

description: This dataset contains archaeobotanical data from Estonian archaeological sites. The dataset consists of one table. It is being made public to act as supplementary data for the publication Johanson, K., Unt, A. & Hiie, S. In prep. Archaeobotany in Estonia – history, state of the art and future perspectives.
DOI: 10.6084/m9.figshare.c.3757208_d47.v1
title: Daily Minimum Temperatures (realizations 61-70)

description: Simulated daily minimum surface temperature (realizations 61-70)
DOI: 10.57702/d8ykch6s
title: MS MARCO Dev (small)

description: The MS MARCO Dev (small) dataset is a small version of the MS MARCO passage dev set.
DOI: 10.6084/m9.figshare.c.3757208_d37.v1
title: Daily Minimum Temperatures (realizations 31-40)

description: Simulated daily minimum surface temperature (realizations 31-40)
DOI: 10.6084/m9.figshare.c.3757208_d51.v1
title: Daily Minimum Temperatures (realizations 71-80)

description: Simulated daily minimum surface temperature (realizations 71-80)
DOI: 10.57702/bpvbhgse
title: SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection

description: The SWSR dataset consists of two files: SexWeibo.csv and SexComment.csv, containing weibos (posts) and comments (replies) respectively.
DOI: 10.6084/m9.figshare.c.3757208_d55.v1
title: Collection of Codes for Empirical Model construction and simulation

description: All annotated MATLAB © code and supporting input/output data for the present empirical SAT model.  This archive contains detailed README text files that would allow the user to reproduce all of the data preparation, model construction and simulation steps.
DOI: 10.6084/m9.figshare.c.3757208_d44.v1
title: Daily Minimum Temperatures (realizations 1-10)

description: Simulated daily minimum surface temperature (realizations 1-10)
DOI: 10.57702/k0sv2m7u
title: SexHateLex

description: The SexHateLex lexicon is a large collection of sexist and abusive terms in Chinese.
DOI: 10.6084/m9.figshare.c.3305517_d292
title: ARHGAP26 siGENOME MDA-MB-231, no change in YAP/TAZ ratio.bmp

description: ARHGAP26 siGENOME MDA-MB-231, no change in YAP/TAZ ratio
DOI: 10.6084/m9.figshare.c.3757208_d54.v1
title: Original NARR surface temperature data

description: This data set is the input data set for the present empirical model. It is also freely available from the NARR website.
DOI: 10.57702/npz21ygm
title: Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey

description: The dataset for the paper titled Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey
DOI: 10.57702/vgkgxmjl
title: RDKit

description: The RDKit dataset is a collection of chemical structures
DOI: 10.57702/dnvctuqw
title: WebWISE: Web Interface Control and Sequential Exploration with Large Language Models

description: The paper investigates using a Large Language Model (LLM) to automatically perform web software tasks using click, scroll, and text input operations.
DOI: 10.57702/sbtdtm9e
title: Satellite Depth Completion Dataset

description: A large-scale satellite depth completion dataset for training and testing spacecraft depth completion algorithms.
DOI: 10.57702/pwqsmvn5
title: GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation

description: We study the problem of making item recommendations to ephemeral groups, which comprise users who purchase very few (or no) items together.
DOI: 10.6084/m9.figshare.c.3493548_d42
title: Sample image 3: long-term single-cell growth monitoring (MC4100 cells at 27C)

description: Sample image for MC4100 cells cultured at 27C
DOI: 10.6084/m9.figshare.c.3493548_d35
title: Zipped analysis data files of mother cells cultured at 27C

description: A .zip file containing analysis data files (.txt) of mother cells cultured at 27C (after manual correction of erroneous segmentations)
DOI: 10.6084/m9.figshare.c.3493548_d41
title: Sample image 1: long-term single-cell growth monitoring (MC4100 cells at 37C).jpg

description: Sample image of cells cultured at 37C
DOI: 10.15468/dl.zm3yhp
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Salix babylonica L.",
 "Year 1965-2024"
 ]
}

 The dataset includes 206 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037637-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/fwi6pk9f
title: Point Grey Bumblebee2 1394a1 and ZED Stereo Camera2

description: The Point Grey Bumblebee2 1394a1 and the ZED Stereo Camera2 are used to evaluate the proposed stereo matching method.
DOI: 10.6084/m9.figshare.c.3493548_d34
title: Zipped time-lapse microscope images of mother cells cultured at 37C

description: A .zip file containing time-lapse microscope images (.tif) of 160 mother cell lineages cultured at 37C
DOI: 10.17863/cam.71655
title: Research data supporting: "Trait Anxiety Mediated by Amygdala Serotonin Transporter in the Common Marmoset."

description: Relevant data used to make all main figures not included in the publication. The dataset consists of a Microsoft excel file with four sheets corresponding to figures 2-4 in the publication. Sheet 1: Human intruder test anxiety and behavioural scores, and relative serotonergic gene expression in each brain region of interest. Sheet 2: Human intruder test anxiety and behavioural scores for animals after receiving saline or citalopram amygdala infusions. Sheet 3: CS-directed response in the fear extinction paradigm. Sheet 4: Baseline response in the fear extinction paradigm. Please refer to the publication for other relevant details.
DOI: 10.57702/j8ncg2v3
title: SParC and CoSQL

description: The dataset used in the paper is SParC and CoSQL, two large complex cross-domain context-dependent text-to-SQL datasets.
DOI: 10.57702/w7im6fzj
title: VAULT: VAriable Uniﬁed Long Text representation for Machine Reading Comprehension

description: VAULT: a light-weight and parallel-efﬁcient paragraph representation for Machine Reading Comprehension (MRC) based on contextualized representation from long document input
DOI: 10.6084/m9.figshare.c.3493548_d17
title: Zipped analysis data files of mother cells cultured at 25C

description: A .zip file containing analysis data files (.txt) of mother cells at 25C (after manual correction of erroneous segmentations)
DOI: 10.15468/dl.vce389
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Betula dahurica Pall."
 ]
}

 The dataset's 2 records were derived from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037631-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3493548_d32
title: Zipped time-lapse microscope images of mother cells cultured at 25C

description: a .zip file containing time-lapse microscope images (.tif) of 65 mother cell lineages cultured at 25C
DOI: 10.57702/5eswlhoa
title: SMM4H 2020 Task 1b, French tweets

description: The dataset for SMM4H 2020 Task 1b, French tweets, includes tweets that report adverse drug eﬀects (ADEs) or drug reactions (ADRs).
DOI: 10.57702/5n315qcp
title: SMM4H 2021 Task 1a, English tweets

description: The dataset for SMM4H 2021 Task 1a, English tweets, includes tweets that report adverse drug eﬀects (ADEs) or drug reactions (ADRs).
DOI: 10.57702/fcnncj70
title: SMM4H 2021 Task 2, Russian tweets

description: The dataset for SMM4H 2021 Task 2, Russian tweets, includes tweets that report adverse drug eﬀects (ADEs) or drug reactions (ADRs).
DOI: 10.57702/zg6g3g3y
title: Multi-Label Continual Learning for Medical Imaging: A Novel Benchmark

description: A novel benchmark for multi-label image classification in medical imaging, combining new classes and domains into a challenging scenario.
DOI: 10.17863/cam.60212
title: Research data supporting "Growth of gas-filled penny-shaped cracks in decompressed hydrogels"

description: We provide a range of supporting data, sorted in three high-level folders. 1. Experimental setup (information regarding the construction of our experimental setup). 2. Experimental data (example videos, summary spreadsheet of all experiments, and data sets used to generate the figures). 3. Code (various codes used for the processing of raw videos, for obtaining the Young modulus E, for the numerical solution of the full diffusion equation, and for plotting the processed data). For more details about the contents of these folders, please refer to the READ ME.pdf.
DOI: 10.57702/ccgybqgi
title: ChestX-ray14: A Large Chest Radiograph Dataset with Uncertainty Labels

description: A large chest radiograph dataset with labels for common thorax diseases.
DOI: 10.57702/cwrchpbk
title: CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels

description: A large chest radiograph dataset with labels for common thorax diseases.