cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/f6s3fno0
title: L2CS-NET: FINE-GRAINED GAZE ESTIMATION IN UNCONSTRAINED ENVIRONMENTS

description: Human gaze is a crucial cue used in various applications such as human-robot interaction and virtual reality. Recently, convolution neural network (CNN) approaches have made notable progress in predicting gaze direction.
DOI: 10.57702/jsinnfef
title: MPIIGaze

description: The MPIIGaze dataset consists of 3,000 eye images each (1,500 left and 1,500 right) of 15 people. The eye images are provided in 60 x 36 pixels and are already frontalized depending on the values of yaw and pitch in the head pose. The gaze is labeled yaw, pitch using a coordinate system such as a head pose.
DOI: 10.6084/m9.figshare.25057391
title: Predicting global intraspecific trait variation of grasses

description: See abstract of paper submission for project description. Data has TRY records redacted per their data sharing agreement.See metadata for descriptions of each column in dataUse code in order they are named (i.e. "Code for Ecol Lett 1..." is used first)
DOI: 10.6084/m9.figshare.25057391.v1
title: Predicting global intraspecific trait variation of grasses

description: See abstract of paper submission for project description. Data has TRY records redacted per their data sharing agreement.See metadata for descriptions of each column in dataUse code in order they are named (i.e. "Code for Ecol Lett 1..." is used first)
DOI: 10.57702/zrj42sfw
title: Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts

description: Text-to-image diffusion models, e.g. Stable Diffusion (SD), lately have shown remarkable ability in high-quality content generation, and become one of the representatives for the recent wave of transformative AI.
DOI: 10.57702/z4knrcse
title: Inappropriate Image Prompts (I2P) dataset

description: The Inappropriate Image Prompts (I2P) dataset encompasses various uncomfortable and inappropriate prompts (including hate, harassment, violence, self-harm, nudity contents, shocking images, and illegal activity).
DOI: 10.57702/apmeubly
title: Market-1501 Dataset

description: The Market-1501 dataset is a large benchmark for person re-identification. It contains 12,000 images with 1,500 images per person, annotated with bounding boxes and masks for objects.
DOI: 10.57702/aikzptub
title: PoseAction: Action Recognition for Patients in the Ward using Deep Learning Approaches

description: Real-time intelligent detection and prediction of subjects' behavior particularly their movements or actions is critical in the ward.
DOI: 10.57702/ynsvukec
title: NTU RGB+D and NTU RGB+D 120 datasets

description: NTU RGB+D and NTU RGB+D 120 datasets contain 3D human activity data.
DOI: 10.57702/skc3go91
title: CHASE

description: Automatic segmentation of retinal vessels in fundus images plays an important role in the diagnosis of some diseases such as diabetes and hypertension.
DOI: 10.57702/dn6rhbqm
title: NTU4DRadLM

description: A 4D radar-centric multi-modal dataset for localization and mapping, covering structured, unstructured, and semi-structured environments, with low- and fast-speeds.
DOI: 10.57702/0xymrr82
title: SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection

description: Pedestrian detection plays an important role in many applications such as autonomous driving. We propose a method that explores semantic segmentation results as self-attention cues to signiﬁcantly improve the pedestrian de–tection performance.
DOI: 10.57702/q5p10cd1
title: Caltech Pedestrian Dataset

description: The Caltech Pedestrian Dataset contains pedestrian images taken at a busy street in Pasadena, California.
DOI: 10.57702/l349tb36
title: BDD100k

description: The BDD100k dataset is a large-scale driving dataset containing 100,000 images of various weather conditions, including clear, rainy, foggy, and night-time.
DOI: 10.57702/xg0dtlwb
title: AbdomenCT-1K dataset

description: The AbdomenCT-1K dataset comprises more than 1000 abdominal CT scans aggregated from 6 existing datasets.
DOI: 10.57702/13mtdyow
title: You'll Never Walk Alone: Modeling Social Behavior for Multi-Target Tracking

description: The dataset used in the paper is a collection of human trajectory data, which is used to evaluate the performance of the proposed Social Pattern Extraction Convolution (PEC) model for pedestrian trajectory prediction.
DOI: 10.57702/f6g55xpr
title: Crowds by Example

description: The dataset used in the paper is a collection of human trajectory data, which is used to evaluate the performance of the proposed Social Pattern Extraction Convolution (PEC) model for pedestrian trajectory prediction.
DOI: 10.57702/16v6hf9m
title: IRX-1D: A Simple Deep Learning Architecture for Remote Sensing Classifications

description: Four remote sensing datasets were used for classification with both small and large training samples.
DOI: 10.57702/7szp4d7g
title: AVIRIS-NG

description: AVIRIS-NG hyperspectral data used in this study was acquired on 8 February, 2016 through an aerial campaign over Anand district in Gujarat, Ahmedabad (India).
DOI: 10.57702/1i2uy4pg
title: DAIS

description: DAIS hyperspectral data used in this study was acquired using DAIS 7915 instrument through an airborne campaign on 29th June 2000 covering La Mancha Alta region south of Madrid, Spain.
DOI: 10.57702/ud2apvkt
title: Sentinel 2

description: Sentinel 2 multispectral data was acquired using Sentinel 2 satellite over Central State farm in Hissar, Haryana (India).
DOI: 10.57702/nazp53du
title: Crime dataset

description: The dataset used in this paper is the Crime dataset, which is a real-world UCI Machine Learning Census dataset for violent state prediction.
DOI: 10.57702/io84pkq6
title: WikiSplit

description: A large dataset of naturally occurring sentence rewrites from Wikipedia edit history, providing sixty times more distinct split examples and a ninety times larger vocabulary than the WebSplit corpus.
DOI: 10.57702/dhvug6of
title: Switchboard dataset

description: The dataset used in the paper is the Switchboard dataset, which contains telephone conversations.
DOI: 10.57702/4eodkpco
title: Stable Diffusion 2

description: The dataset used in this paper is Stable Diffusion 2, a popular diffusion model for image synthesis.
DOI: 10.57702/856a58r7
title: GY-87 Sensor Data

description: The dataset used in this paper is a collection of sensor data from the GY-87 module, including barometer, magnetometer, gyroscope, accelerometer, and thermometer.
DOI: 10.57702/089xqozm
title: MQ-135 Air Quality Data

description: The dataset used in this paper is a collection of air quality data from the MQ-135 gas sensor, including CO2, ammonia, and benzene concentrations.
DOI: 10.57702/eaaods12
title: GUVA-S12SD UV Radiation Data

description: The dataset used in this paper is a collection of UV radiation data from the GUVA-S12SD UV light sensor module, including UV intensity and wavelength.
DOI: 10.57702/cw5pryh4
title: Spine CT dataset

description: A dataset for vertebrae detection and localization in CT scans
DOI: 10.57702/1cmlv0ee
title: LLFF Real

description: LLFF Real dataset comprises 24 scenes captured from handheld cellphones with 20 − 30 images each.
DOI: 10.57702/kx4nnifx
title: GradeADreamer: Enhanced Text-to-3D Generation

description: Text-to-3D generation has shown promising results, yet common challenges such as the Multi-face Janus problem and extended generation time for high-quality assets. In this paper, we address these issues by introducing a novel three-stage training pipeline called GradeADreamer.
DOI: 10.57702/pw2w2vzl
title: UAVid Dataset

description: UAVid is a dataset for semantic segmentation of UAV images, containing 420 images with 8 classes.
DOI: 10.57702/kjpoax4q
title: The Hateful Memes dataset

description: The Hateful Memes dataset aims to help develop models that more eﬀectively detect multimodal hateful content.
DOI: 10.57702/11dz46l7
title: Open Images

description: The Open Images dataset is a large-scale image dataset with a wide range of images, including but not limited to, street scenes, indoor scenes, and outdoor scenes.
DOI: 10.57702/d103exuy
title: TUM data set

description: The TUM data set contains 72 real driving excursions in Munich. The variables in the data are recorded once every 0.1 seconds using a 2014 BMW i3 (60 Ah) as the testing vehicle.
DOI: 10.57702/eeuqgogl
title: SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields

description: A dataset for multiview segmentation and 3D inpainting with neural radiance fields.
DOI: 10.57702/rl9yl5ru
title: Stable Diffusion-1.5

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a 20-step DDIM sampler and a 13-step DDIM sampler.
DOI: 10.57702/oro3kif3
title: DPM++

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors compared their results with DPM++.
DOI: 10.57702/frhib3io
title: PLMS

description: The dataset used in the paper is not explicitly described, but it is mentioned that the authors compared their results with PLMS.
DOI: 10.57702/zujg4t8j
title: One Billion Words Dataset

description: A dataset for language modeling, where the goal is to predict the next word in a sequence given the previous words.
DOI: 10.57702/k6od3oks
title: Dualsmoke: Sketch-based smoke illustration design with two-stage generative model

description: The Sketch-based smoke illustration design with two-stage generative model
DOI: 10.57702/tvaow7yi
title: Four Rooms

description: The Four Rooms environment is a stochastic version of the classic Atari game Four Rooms. The environment has 104 states and 4 actions, and the agent can move in any of the 4 directions (up, down, left, right) with a probability of 80%.
DOI: 10.57702/tqyrafhj
title: Atari 57

description: The Atari 57 benchmark is a collection of 57 Atari games, each with its own set of states and actions.
DOI: 10.57702/2rl1j0nq
title: FairDiff: Fair Segmentation with Point-Image Diffusion

description: Fairness is an important topic for medical image analysis, driven by the challenge of unbalanced training data among diverse target groups and the societal demand for equitable medical quality.
DOI: 10.15468/dl.a9w4yv
title: Occurrence Download

description: A dataset containing 26388588 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Mexico, Canada)",
 "TaxonKey is Insecta",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 26388588 records from 736 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013497-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-12.2988584/2553377
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988585/2553378
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988587/2553379
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988593/2553380
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988599/2553381
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988601/2553382
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988602/2553383
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988609/2553384
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988610/2553385
title: Data for EMSL Project 60579 from December 2023
DOI: 10.15468/dl.7uw3b3
title: Occurrence Download

description: A dataset containing 765 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Turdus plebejus Cabanis, 1861",
 "Year 1980-2025"
 ]
}

 The dataset includes 765 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018798-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-12.2988613/2553386
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988614/2553387
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25549/inscriptifact-ouc111156629
title: List (PNs), KTU 4.354

description: [Text or Publication Number Note:] KTU 4.354, KTU2 4.354, KTU3 4.354, CTU 4.354, CAT 4.354 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.25549/inscriptifact-ouc110873475
title: Persepolis Fortification Anepigraphic Tablet 0417.204, PFAnep 0417.204

description: [Text Description:] Administrative tablet with seals ❧ [Text or Publication Number Note:] PFAnep 0417.204, PFUT 0417-204 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions on bottom edge, left edge, obverse. ❧ [Physical Object Note:] Small crack on left edge, cracks on obverse, reverse. Broken right edge, upper edge. (Upper and bottom edges may be reversed)
DOI: 10.15468/dl.egghry
title: Occurrence Download

description: A dataset containing 246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Castilleja cusickii Greenm."
 ]
}

 The dataset includes 246 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105188-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110873479
title: Persepolis Fortification Anepigraphic Tablet 0417.204, PFAnep 0417.204

description: [Text Description:] Administrative tablet with seals ❧ [Text or Publication Number Note:] PFAnep 0417.204, PFUT 0417-204 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions on bottom edge, left edge, obverse. ❧ [Physical Object Note:] Small crack on left edge, cracks on obverse, reverse. Broken right edge, upper edge. (Upper and bottom edges may be reversed)
DOI: 10.15468/dl.bq597q
title: Occurrence Download

description: A dataset containing 2333 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen"
 ]
 },
 "Geometry POLYGON((-12.07248 34.80059,13.59158 34.80059,13.59158 45.06182,-12.07248 45.06182,-12.07248 34.80059))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio angulatus L.fil."
 ]
}

 The dataset includes 2333 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105203-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110873476
title: Persepolis Fortification Anepigraphic Tablet 0417.204, PFAnep 0417.204

description: [Text Description:] Administrative tablet with seals ❧ [Text or Publication Number Note:] PFAnep 0417.204, PFUT 0417-204 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions on bottom edge, left edge, obverse. ❧ [Physical Object Note:] Small crack on left edge, cracks on obverse, reverse. Broken right edge, upper edge. (Upper and bottom edges may be reversed)
DOI: 10.25549/inscriptifact-ouc110873484
title: Persepolis Fortification Anepigraphic Tablet 0417.204, PFAnep 0417.204

description: [Text Description:] Administrative tablet with seals ❧ [Text or Publication Number Note:] PFAnep 0417.204, PFUT 0417-204 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions on bottom edge, left edge, obverse. ❧ [Physical Object Note:] Small crack on left edge, cracks on obverse, reverse. Broken right edge, upper edge. (Upper and bottom edges may be reversed)
DOI: 10.15468/dl.js5kd4
title: Occurrence Download

description: A dataset containing 5819 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-4.88988 55.93784,-4.40004 55.93784,-4.40004 56.43559,-4.88988 56.43559,-4.88988 55.93784))"
 ]
}

 The dataset includes 5819 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061296-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wkdqve
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 {
 "or" : [
 "RecordedBy is LEHMANN",
 "RecordedBy is LEHMANN V, F C",
 "RecordedBy is LEHMANN, (DR)",
 "RecordedBy is LEHMANN, A.",
 "RecordedBy is LEHMANN, F C, V",
 "RecordedBy is LEHMANN, F. K.",
 "RecordedBy is LEHMANN,A.",
 "RecordedBy is Lehmann"
 ]
 }
 ]
}

 The dataset includes 110 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105189-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110873497
title: Persepolis Fortification Anepigraphic Tablet 0417.204, PFAnep 0417.204

description: [Text Description:] Administrative tablet with seals ❧ [Text or Publication Number Note:] PFAnep 0417.204, PFUT 0417-204 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions on bottom edge, left edge, obverse. ❧ [Physical Object Note:] Small crack on left edge, cracks on obverse, reverse. Broken right edge, upper edge. (Upper and bottom edges may be reversed)
DOI: 10.25549/inscriptifact-ouc110873493
title: Persepolis Fortification Anepigraphic Tablet 0417.204, PFAnep 0417.204

description: [Text Description:] Administrative tablet with seals ❧ [Text or Publication Number Note:] PFAnep 0417.204, PFUT 0417-204 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions on bottom edge, left edge, obverse. ❧ [Physical Object Note:] Small crack on left edge, cracks on obverse, reverse. Broken right edge, upper edge. (Upper and bottom edges may be reversed)
DOI: 10.15468/dl.gps76r
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 {
 "or" : [
 "Country is Norway",
 "Country is Svalbard and Jan Mayen"
 ]
 },
 "PublishingOrg is 396d5f30-dea9-11db-8ab4-b8a03c50a862",
 "TaxonKey is Serpulidae"
 ]
}

 The dataset includes 26 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0265286-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110873505
title: Persepolis Fortification Anepigraphic Tablet 0417.204, PFAnep 0417.204

description: [Text Description:] Administrative tablet with seals ❧ [Text or Publication Number Note:] PFAnep 0417.204, PFUT 0417-204 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions on bottom edge, left edge, obverse. ❧ [Physical Object Note:] Small crack on left edge, cracks on obverse, reverse. Broken right edge, upper edge. (Upper and bottom edges may be reversed)
DOI: 10.25549/inscriptifact-ouc110873506
title: Persepolis Fortification Anepigraphic Tablet 0417.204, PFAnep 0417.204

description: [Text Description:] Administrative tablet with seals ❧ [Text or Publication Number Note:] PFAnep 0417.204, PFUT 0417-204 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions on bottom edge, left edge, obverse. ❧ [Physical Object Note:] Small crack on left edge, cracks on obverse, reverse. Broken right edge, upper edge. (Upper and bottom edges may be reversed)
DOI: 10.25549/inscriptifact-ouc110873560
title: Persepolis Fortification Anepigraphic Tablet 0417.204, PFAnep 0417.204

description: [Text Description:] Administrative tablet with seals ❧ [Text or Publication Number Note:] PFAnep 0417.204, PFUT 0417-204 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions on bottom edge, left edge, obverse. ❧ [Physical Object Note:] Small crack on left edge, cracks on obverse, reverse. Broken right edge, upper edge. (Upper and bottom edges may be reversed)
DOI: 10.25549/inscriptifact-ouc110873565
title: Persepolis Fortification Anepigraphic Tablet 0417.204, PFAnep 0417.204

description: [Text Description:] Administrative tablet with seals ❧ [Text or Publication Number Note:] PFAnep 0417.204, PFUT 0417-204 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay tablet with seal impressions on bottom edge, left edge, obverse. ❧ [Physical Object Note:] Small crack on left edge, cracks on obverse, reverse. Broken right edge, upper edge. (Upper and bottom edges may be reversed)