cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc110873438
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.q5t2ta
title: Occurrence Download

description: A dataset containing 67349 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthocerotophyta"
 ]
}

 The dataset includes 67349 records from 331 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0192951-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110876081
title: Persepolis Fortification Elamite Tablet 0502, PF-NN 0502

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] PF-NN 0502 ❧ [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-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impressions on on left edge, right edge. ❧ [Physical Object Note:] Damage or cracks on bottom edge, left edge, obverse, right edge and reverse.
DOI: 10.25549/inscriptifact-ouc110873443
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.f9qmwh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dasyatis atratus Ishiyama & Okada, 1955"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042186-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110873383
title: Persepolis Fortification Anepigraphic Tablet 0417.203, PFAnep 0417.203

description: [Text Description:] Administrative tablet with seals ❧ [Text or Publication Number Note:] PFAnep 0417.203, PFUT 0417-203 ❧ [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 obverse, reverse, upper edge. ❧ [Physical Object Note:] All surfaces damaged. Upper left corner of tablet broken.
DOI: 10.25549/inscriptifact-ouc110873391
title: Persepolis Fortification Anepigraphic Tablet 0417.203, PFAnep 0417.203

description: [Text Description:] Administrative tablet with seals ❧ [Text or Publication Number Note:] PFAnep 0417.203, PFUT 0417-203 ❧ [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 obverse, reverse, upper edge. ❧ [Physical Object Note:] All surfaces damaged. Upper left corner of tablet broken.
DOI: 10.15468/dl.27jvjk
title: Occurrence Download

description: A dataset containing 962 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"
 ]
 },
 {
 "or" : [
 "Country is Spain",
 "Country is Portugal"
 ]
 },
 "Geometry POLYGON((-17.01489 34.25767,11.07920 34.25767,11.07920 45.50767,-17.01489 45.50767,-17.01489 34.25767))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio angulatus L.fil."
 ]
}

 The dataset includes 962 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105223-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110873477
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.8jayxn
title: Occurrence Download

description: A dataset containing 100309 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calyptraeidae"
 ]
}

 The dataset includes 100309 records from 547 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061277-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110873490
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.vnz7hz
title: Occurrence Download

description: A dataset containing 1249 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tamandua mexicana (Saussure, 1860)",
 "Year 1960-2022"
 ]
}

 The dataset includes 1249 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188245-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110873495
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: 10.25582/data.2023-12.2988632/2553396
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988633/2553397
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988634/2553398
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988635/2553399
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988638/2553400
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988644/2553401
title: Data for EMSL Project 60579 from December 2023
DOI: 10.15468/dl.rsfqca
title: Occurrence Download

description: A dataset containing 1084244 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fungal Records Database of Britain and Ireland"
 ]
}

 The dataset includes 1084244 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018792-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-12.2988652/2553402
title: Data for EMSL Project 60579 from December 2023
DOI: 10.25582/data.2023-12.2988653/2553403
title: Data for EMSL Project 60579 from December 2023
DOI: 10.15468/dl.ehxkht
title: Occurrence Download

description: A dataset containing 1069323 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FRA-PLANKTON DATASET"
 ]
}

 The dataset includes 1069323 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018793-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p7pcj6
title: Occurrence Download

description: A dataset containing 616964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((118 27,123 27,123 31,118 31,118 27))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2014-2024"
 ]
}

 The dataset includes 616964 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009209-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pc5vyh
title: Occurrence Download

description: A dataset containing 383 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Liturgusa maya Saussure & Zehntner, 1894",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 383 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009302-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2tm7s
title: Occurrence Download

description: A dataset containing 14298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Nepal",
 "TaxonKey is Polypodiopsida"
 ]
}

 The dataset includes 14298 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009303-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.awkee7
title: Occurrence Download

description: A dataset containing 117504 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lithobates catesbeianus (Shaw, 1802))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 117504 records from 271 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009292-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14995519
title: data for publication of Guoyong He,Hun Feng,Shaofa Li,Hongwei An(2025)

description: This data contains three centers categorized patients with symptomatic severe MCA stenosis.
DOI: 10.5281/zenodo.14995520
title: data for publication of Guoyong He,Hun Feng,Shaofa Li,Hongwei An(2025)

description: This data contains three centers categorized patients with symptomatic severe MCA stenosis.
DOI: 10.15468/dl.qbyntf
title: Occurrence Download

description: A dataset containing 2276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tenodera angustipennis Saussure, 1869",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2276 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009304-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bj9bes
title: Occurrence Download

description: A dataset containing 568818 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Poa pratensis L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 568818 records from 2527 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009216-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/qwxptsgf
title: DAVIS2016

description: A benchmark dataset and evaluation methodology for video object segmentation.
DOI: 10.57702/6qg7zots
title: FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations

description: FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations
DOI: 10.57702/7np2si6t
title: Binary neural networks (BNNs) have 1-bit weights and activations.

description: Binary neural networks (BNNs) have 1-bit weights and activations.
DOI: 10.57702/diez5srh
title: The first convolutional layer is not binarized.

description: The first convolutional layer is not binarized.
DOI: 10.57702/ktk54rwo
title: The ImageNet dataset is used to evaluate the performance of FracBNN.

description: The ImageNet dataset is used to evaluate the performance of FracBNN.
DOI: 10.57702/baz6peg1
title: The CIFAR-10 dataset is used to evaluate the performance of FracBNN.

description: The CIFAR-10 dataset is used to evaluate the performance of FracBNN.
DOI: 10.57702/u1w1u8ld
title: Sprites dataset

description: The dataset consists of binary images of sprites with variations in the shape (oval, square, and heart) and four geometric factors: scale (6 variation modes), rotation (40), and X, Y translation (32 modes each).
DOI: 10.57702/62ys4vwk
title: PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation

description: Audio tagging is an active research area and has a wide range of applications. Since the release of AudioSet, great progress has been made in advancing model performance, which mostly comes from the development of novel model architectures and attention modules. However, we find that appropriate training techniques are equally important for building audio tagging models with AudioSet, but have not received the attention they deserve.
DOI: 10.57702/97z0cufe
title: CHiME-Home

description: The CHiME-Home dataset is a collection of 10 hours of audio recordings from home environments.
DOI: 10.6084/m9.figshare.27942285
title: <b>Theory of the Hierarchy of Emotional Neural Patterns</b><b>_ supplementari file _ experimental results</b>

description: <b>Purpose: </b>This study aimed to analyze the entrepreneurship learning process of small cocoa and coffee producers through the neuroinnovation method, supporting the theory of hierarchy of emotional neural patterns in individual, collective, and organizational thinking. <b>Findings:</b> The neuroinnovation method’s impact on the learning process of small coffee producers does not occur for cocoa producers (DIF = 0.62 vs −0.01) due to smaller differences with respect to business skills in the coffee sector. <b>Conclusions: </b>We confirm impact on the individual, collective, and organizational learning process of small producers. Moreover, cosmic memory is higher among research groups of the same sector.
DOI: 10.6084/m9.figshare.27942285.v1
title: <b>Theory of the Hierarchy of Emotional Neural Patterns</b><b>_ supplementari file _ experimental results</b>

description: <b>Purpose: </b>This study aimed to analyze the entrepreneurship learning process of small cocoa and coffee producers through the neuroinnovation method, supporting the theory of hierarchy of emotional neural patterns in individual, collective, and organizational thinking. <b>Findings:</b> The neuroinnovation method’s impact on the learning process of small coffee producers does not occur for cocoa producers (DIF = 0.62 vs −0.01) due to smaller differences with respect to business skills in the coffee sector. <b>Conclusions: </b>We confirm impact on the individual, collective, and organizational learning process of small producers. Moreover, cosmic memory is higher among research groups of the same sector.
DOI: 10.57702/w5yecibu
title: Willow Object Class

description: The Willow Object Class dataset comprises 304 images gathered from Caltech-256 (Griffin et al., 2007) and Pascal VOC 2007 (Everingham et al., 2007).
DOI: 10.57702/dzgotsld
title: HMDB51, UCF101, Kinetics-400, and IG65M

description: Four datasets are relevant for our study: HMDB51, UCF101, Kinetics-400, and IG65M.
DOI: 10.57702/zhbcvtfn
title: LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation

description: Semantic image segmentation plays a pivotal role in many vision applications including autonomous driving and medical image analysis.
DOI: 10.57702/uc6lu6ii
title: Prostate Cross-Site Dataset

description: The dataset used for prostate cross-site segmentation
DOI: 10.57702/3yd6s2u3
title: Evaluation of Prostate Segmentation Algorithms

description: The evaluation of prostate segmentation algorithms for mri challenge dataset
DOI: 10.57702/k1mrhkbg
title: Domain Generalization with MixStyle

description: The domain generalization with mixstyle dataset
DOI: 10.57702/05zp7ur8
title: Dr.E: A Graph Language Translator

description: Significant efforts have been dedicated to integrating the powerful Large Language Models (LLMs) with diverse modality, particularly focusing on the fusion of language, vision and audio data. However, the graph-structured data, which is inherently rich in structural and domain-specific knowledge, has not yet been gracefully adapted to LLMs.
DOI: 10.57702/ieqn1cdr
title: Counting Objects by Diﬀused Index

description: Counting objects is a fundamental but challenging problem. In this paper, we propose diﬀusion-based, geometry-free, and learning-free methodologies to count the number of objects in images.
DOI: 10.57702/byys4u6o
title: Generating Comprehensive Lithium Battery Charging Data with Generative AI

description: This study introduces the End of Life (EOL) and Equivalent Cycle Life (ECL) as conditions for generative AI models. The authors developed the Refined Conditional Variational Autoencoder (RCVAE) to generate comprehensive electrochemical data.
DOI: 10.57702/2bxfsgwh
title: Brats dataset

description: The Brats dataset contains T1-w MR brain images of healthy subjects and patients with brain tumors.
DOI: 10.57702/r6xkos4m
title: Shake-to-Leak (S2L) dataset

description: The dataset used in the Shake-to-Leak (S2L) attack, which is a fine-tuning attack on diffusion models. The dataset is a synthetic private set P generated by fine-tuning a pre-trained diffusion model on a target prompt pz.
DOI: 10.57702/1dclhs95
title: LAION-2B dataset

description: The LAION-2B dataset used in the pre-training of the diffusion model. The dataset consists of 2.17B images, including public and private domains.
DOI: 10.57702/x2ib114r
title: DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake Detection

description: A dramatic influx of diffusion-generated images has marked recent years, posing unique challenges to current detection technologies.
DOI: 10.57702/gb2cp9uc
title: LSUN-Bedroom

description: LSUN-Bedroom dataset is a large-scale dataset of images of bedrooms.
DOI: 10.57702/dnp2fubz
title: Diffusion Noise Feature

description: Diffusion noise feature: Accurate and fast generated image detection.
DOI: 10.57702/vh58n557
title: Reachability Embeddings: Scalable Self-Supervised Representation Learning from Mobility Trajectories

description: GPS trajectory dataset for learning task-agnostic feature representations of geographic locations from unlabeled GPS trajectories
DOI: 10.57702/pbbfy8zt
title: Probe Data and Privacy

description: Probe data for learning task-agnostic feature representations of geographic locations from unlabeled GPS trajectories
DOI: 10.57702/enayhf6y
title: T-Drive: Driving Directions Based on Taxi Trajectories

description: T-Drive dataset for learning task-agnostic feature representations of geographic locations from unlabeled GPS trajectories
DOI: 10.57702/k2qrqvta
title: Synthetic dataset for indoor spatial query evaluation

description: The dataset used in this paper is a synthetic dataset for indoor spatial query evaluation, containing 6 components: true trace generator, raw reading generator, Bayesian filter module, symbolic model module, ground truth query evaluation, and performance evaluation module.
DOI: 10.57702/8l9ripth
title: Battery Cell Layout Optimization Dataset

description: The dataset used for training a Generative AI method that employs a cooling-guided diffusion model to optimize the layout of battery cells.
DOI: 10.57702/o51314pc
title: GM-DF: Generalized Multi-Scenario Deepfake Detection

description: The paper proposes a unified face forgery detection framework to solve the multi-dataset conflict problem, and the authors use five public autopilot datasets, including FaceForensics++ [14] Celeb-DF(V2) [15], WildDeepfake [16], DFDC [17] and the fake face dataset generated by diffusion DFF [18] to study the problem of data conflict in each domain or merged domains.
DOI: 10.57702/8k0z05p7
title: The Deepfake Detection Challenge (DFDC) Dataset

description: The dataset contains real and fake face videos.
DOI: 10.57702/joz3ou3d
title: Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues

description: The paper proposes a unified face spoofing and forgery detection framework to solve the multi-dataset conflict problem, and the authors use five public autopilot datasets, including FaceForensics++ [14] Celeb-DF(V2) [15], WildDeepfake [16], DFDC [17] and the fake face dataset generated by diffusion DFF [18] to study the problem of data conflict in each domain or merged domains.
DOI: 10.57702/bdfpv0xr
title: VGG Network E

description: The dataset used in this paper is the VGG Network E, a deep convolutional neural network for image recognition.