cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/3sbzwt9n
title: Object Re-Identification from Point Clouds

description: Object re-identification from point clouds
DOI: 10.15468/dl.8dv5s8
title: Occurrence Download

description: A dataset containing 788 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasyatis centroura (Mitchill, 1815)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 788 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013967-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/1olecw00
title: BEVFusion

description: BEVFusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation
DOI: 10.15468/dl.jatn5x
title: Occurrence Download

description: A dataset containing 8816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Conger conger (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8816 records from 183 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013965-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xm6ndp
title: Occurrence Download

description: A dataset containing 1247894 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material citation, Occurrence evidence)",
 "Country is Philippines",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 1247894 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013944-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/csv4sif0
title: NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN

description: Neuromorphic data understanding by CLIP and SNN
DOI: 10.15468/dl.m3hybu
title: Occurrence Download

description: A dataset containing 14206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coris julis (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14206 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013966-241126133413365/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.27950712
title: Supplementary Material for: Trends and the Role of Gene-Environment Interactions in Idiopathic Membranous Nephropathy in Northern China

description: Introduction: Idiopathic membranous nephropathy (iMN) has become one of the most prevalent primary glomerular diseases, with a marked increase in prevalence over the past two decades in northern China. Fine particulate matter (PM2.5) is considered to be associated with this rising prevalence. In this study, we aim to evaluate the trends of iMN in relation to improved air quality and conduct a cross-sectional study in Hebei province (northern China, near Beijing) to investigate the role of gene-environment interactions in its development.
Methods: 
This study established two cohorts. Cohort 1 included 22,937 pathology reports from Peking University First Hospital (2002-2021) to assess iMN prevalence. Cohort 2 comprised 5,635 iMN patients from 11 cities in Hebei Province (2009-2013). DNA samples from 374 iMN patients and 1,259 controls were genotyped for SNPs rs4664608 (PLA2R1) and rs2187668 (HLA-DQA1). Patients were stratified by air pollution risk levels. The annual percentage change (APC) and average annual percentage change (AAPC) were estimated using a join-point regression model. Gene-environment interactions were analyzed using logistic regression and epinet-calculation. 
Results: 
In Cohort 1, 5,586 patients with iMN were identified, representing 24.3% of the 22,937 patients from 2002 to 2021. The general population showed a significant increase in iMN proportion with an APC of +12.7% per year from 2002 to 2014 (95% CI: 10.3 to 17.5, p &lt; 0.001), followed by a decline with an APC of -5.6% per year from 2014 to 2021 (95% CI: -9.6 to -2.6, p &lt; 0.001).In Hebei Province, the iMN frequency rose significantly with an APC of +17.6% per year from 2002 to 2016 (95% CI: 14.5 to 28.6, p &lt; 0.001), peaking at 60%, and then declined with an APC of -5.5% per year from 2016 to 2021 (95% CI: -13.1 to -1.2, p = 0.02). Cohort 2 highlighted significant regional variation in iMN incidence across Hebei Province. Geographic exposure to pollution was identified as an independent risk factor for iMN (RR 1.49, 95% CI 1.38–1.56, p&lt;0.001). Gene-environment interaction analysis revealed that patients with risk alleles in the PLA2R1 gene and exposure to risk environments had a markedly increased risk of developing iMN (OR=38.72, 95% CI 11.95-125.46, p&lt;0.01). 
Conclusion: 
The annual growth rate of iMN in northern China appears to be slowing down. Gene-environment interactions may have contributed to the previously observed increase in iMN prevalence.
DOI: 10.57702/eubz0h0g
title: ES-ImageNet

description: A million event-stream classification dataset for spiking neural networks
DOI: 10.57702/n9ud6m9y
title: N-MNIST

description: Converting static image datasets to spiking neuromorphic datasets using saccades
DOI: 10.57702/mb8f6qmt
title: Axiomatic Preference Modeling for Longform Question Answering

description: Axiomatic Preference Modeling for Longform Question Answering
DOI: 10.57702/weuktmfq
title: Stack Exchange dataset

description: Stack Exchange dataset
DOI: 10.57702/jvf32nxr
title: Research Analysis Questions dataset

description: Research Analysis Questions dataset
DOI: 10.57702/ieazvbfj
title: Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy

description: Ultrasound Localization Microscopy can resolve the microvascular bed down to a few micrometers. To achieve such performance microbubble contrast agents must perfuse the entire microvascular network.
DOI: 10.57702/a43askga
title: FPGA Implementation of Simpliﬁed Spiking Neural Network

description: The proposed model is validated on a Xilinx Virtex 6 FPGA and analyzes a fully connected network which consists of 800 neurons and 12,544 synapses in real-time.
DOI: 10.57702/tef8p5n1
title: Mmicl

description: Mmicl: Empowering vision-language model with multi-modal in-context learning
DOI: 10.57702/zytqwbtt
title: CAE v2: Context Autoencoder with CLIP Target

description: Masked image modeling (MIM) learns visual representation by masking and reconstructing image patches. Applying the reconstruction supervision on the CLIP representation has been proven effective for MIM. However, it is still under-explored how CLIP supervision in MIM influences performance.
DOI: 10.57702/2eg2wiun
title: iBOT

description: Image bert pre-training with online tokenizer.
DOI: 10.57702/adxgaj5j
title: LatentGAN Autoencoder: Learning Disentangled Latent Distribution

description: LatentGAN Autoencoder: Learning Disentangled Latent Distribution
DOI: 10.57702/9ka6dyn5
title: Seeing 3D chairs: exemplar part-based 2D-3D alignment using a large dataset of CAD models

description: Seeing 3D chairs: exemplar part-based 2D-3D alignment using a large dataset of CAD models
DOI: 10.57702/27dqvsqh
title: CelebA: A Large-Scale Dataset and Network for Face Attribute Estimation

description: CelebA: A Large-Scale Dataset and Network for Face Attribute Estimation
DOI: 10.57702/zrfi4haj
title: NeRF-DS

description: A dataset for dynamic scene reconstruction, including monocular multi-view images and camera poses.
DOI: 10.57702/2ou6z41n
title: Clinical Cases

description: Real-world clinical cases across multiple specialties, converted into.json files for analysis.
DOI: 10.57702/y2ignyz8
title: Federated Unlearning via Class-Discriminative Pruning

description: We explore the problem of selectively forgetting categories from trained CNN classiﬁcation models in federated learning (FL).
DOI: 10.57702/ngpb22o3
title: Relational Self-Supervised Learning

description: Self-supervised learning framework that maintains the relational consistency between instances under different augmentations.
DOI: 10.6084/m9.figshare.27950667
title: Data for: "Carbon and nutrient solubility in live and dead <i>Betula pubescens</i> leaves across a boreal retrogressive chronosequence"

description: 1. Leaching – the release of elements from organic matter through dissolution in water – plays an important role in biogeochemical cycling and ecosystem processes. However, our limited understanding of the patterns and underlying drivers of element solubility in leaves hinders accurate predictions of leaching over space and time in terrestrial ecosystems.2. In this study, we quantify the solubility of carbon (C), nitrogen (N), and phosphorus (P) from leaves of Betula pubescens – a widespread boreal tree species – across a post-fire retrogressive chronosequence. We then relate solubility to variation in leaf-level traits and ecosystem properties (e.g.: soil chemistry, tree density and productivity) across the chronosequence to quantify micro- and macro-scale determinants of leaching.3. We find that P is much more soluble than C and N and is released in solution mainly in readily accessible mineral form. Solubility patterns are strongly related to foliar chemical and structural traits, particularly for green leaves. Metrics related to ecosystem properties exert a stronger influence over solubility from senesced leaf litter. 4. Overall, our results indicate that leaching could constitute an important flux of nutrients to the soil, particularly for P. The rate and spatio-temporal pattern of this leaching flux may be predicted from foliar traits and ecosystem properties. Further application of the method should allow for rapid integration of leaching-related foliar traits into broader plant trait frameworks and models of ecosystem biogeochemical cycling.<br>
DOI: 10.6084/m9.figshare.27950667.v1
title: Data for: "Carbon and nutrient solubility in live and dead <i>Betula pubescens</i> leaves across a boreal retrogressive chronosequence"

description: 1. Leaching – the release of elements from organic matter through dissolution in water – plays an important role in biogeochemical cycling and ecosystem processes. However, our limited understanding of the patterns and underlying drivers of element solubility in leaves hinders accurate predictions of leaching over space and time in terrestrial ecosystems.2. In this study, we quantify the solubility of carbon (C), nitrogen (N), and phosphorus (P) from leaves of Betula pubescens – a widespread boreal tree species – across a post-fire retrogressive chronosequence. We then relate solubility to variation in leaf-level traits and ecosystem properties (e.g.: soil chemistry, tree density and productivity) across the chronosequence to quantify micro- and macro-scale determinants of leaching.3. We find that P is much more soluble than C and N and is released in solution mainly in readily accessible mineral form. Solubility patterns are strongly related to foliar chemical and structural traits, particularly for green leaves. Metrics related to ecosystem properties exert a stronger influence over solubility from senesced leaf litter. 4. Overall, our results indicate that leaching could constitute an important flux of nutrients to the soil, particularly for P. The rate and spatio-temporal pattern of this leaching flux may be predicted from foliar traits and ecosystem properties. Further application of the method should allow for rapid integration of leaching-related foliar traits into broader plant trait frameworks and models of ecosystem biogeochemical cycling.<br>
DOI: 10.57702/kg2b1q6s
title: Deep Q-Network (DQN) dataset

description: The dataset used in the paper is the Deep Q-Network (DQN) dataset, which consists of 15 classic Atari games.
DOI: 10.57702/df98lnsn
title: Dynamic Frame Skip Deep Q-Network (DFDQN) dataset

description: The dataset used in the paper is the Dynamic Frame Skip Deep Q-Network (DFDQN) dataset, which consists of 3 Atari games: Seaquest, Space Invaders, and Alien.
DOI: 10.57702/567v5bk9
title: DOTA1.0, DOTA1.5, HRSC2016

description: Aerial object detection dataset for anchor-free oriented object detection
DOI: 10.57702/5uav2g97
title: Large Logo Dataset (LLD)

description: The Large Logo Dataset (LLD) is a large-scale logo dataset crawled from the web, containing 486,377 logos in 32x32 pixel resolution.
DOI: 10.57702/pkz8krwh
title: LLD-icon

description: The LLD-icon dataset is a subset of the LLD dataset, containing 486,377 logos in 32x32 pixel resolution.
DOI: 10.57702/0gfrkbud
title: LLD-logo

description: The LLD-logo dataset is a subset of the LLD dataset, containing 122,920 logos in 400x400 pixel resolution.
DOI: 10.57702/6fnxiwi9
title: Emotion Separation and Recognition from a Facial Expression

description: Representation learning and feature disentanglement have recently attracted much research interests in facial expression recognition. The ubiquitous ambiguity of emotion labels is detrimental to those methods based on conventional supervised representation learning.
DOI: 10.57702/zuvnm4g0
title: Face2exp

description: Face2exp: Combating data biases for facial expression recognition.
DOI: 10.57702/71rdtcxb
title: SMPLify-X

description: A dataset for 3D holistic body mesh reconstruction from in-the-wild videos, with synchronized speech.
DOI: 10.57702/u89fezjm
title: PIXIE

description: A dataset for 3D holistic body mesh reconstruction from in-the-wild videos, with synchronized speech.
DOI: 10.57702/vk9x3wj1
title: ISIC2017 and ISIC2018

description: Skin lesion segmentation dataset
DOI: 10.57702/frvttljf
title: TCIA, 5-patients, and ELCAP public dataset

description: A dataset was prepared with the help of experienced medical experts. The dataset was used to train the UNet model.
DOI: 10.57702/r2fick2e
title: Cardinal RF (CardRF) dataset

description: The Cardinal RF (CardRF) dataset is a publicly available dataset for RF-based UAV detection and identiﬁcation system.
DOI: 10.57702/i43cbedy
title: VGGFace2: A Large-Scale Face Recognition Dataset

description: The VGGFace2 dataset is a large-scale face recognition dataset containing over 2 million images of faces.
DOI: 10.57702/tn78jx53
title: WikiArt: A Large-Scale Dataset of Artworks

description: The WikiArt dataset is a large-scale dataset of artworks, containing over 1 million images of paintings.
DOI: 10.57702/46590uj5
title: DeepFace: A Large-Scale Face Recognition Dataset

description: The DeepFace dataset is a large-scale face recognition dataset containing over 2 million images of faces.
DOI: 10.57702/5fqvksjh
title: Kinetics-700 dataset

description: The Kinetics-700 dataset is a large-scale video dataset for human action recognition. It contains 555,774 videos annotated with 700 categories of human actions.
DOI: 10.15468/dl.uxm4ye
title: Occurrence Download

description: A dataset containing 508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Deltentosteus quadrimaculatus (Valenciennes, 1837)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 508 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013971-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3hv8m
title: Occurrence Download

description: A dataset containing 1625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasyatis pastinaca (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1625 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013970-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xrfzsj
title: Occurrence Download

description: A dataset containing 3620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dentex dentex (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3620 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013972-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr06415.v1
title: Survey of Consumer Attitudes and Behavior, June 1991
title: Version 1

description: This survey was undertaken to measure changes in consumer 
 attitudes and expectations, to understand why such changes occur, and 
 to evaluate how they relate to consumer decisions to save, borrow, or 
 make discretionary purchases. This type of information is essential for 
 forecasting changes in aggregate consumer behavior. Since the late 
 1940s, these surveys have been produced quarterly through 1977 and 
 monthly thereafter. Each monthly survey probes a different aspect of 
 consumer confidence. Open-ended questions are asked concerning 
 evaluations and expectations about personal finances, employment, price 
 changes, and the national business situation. Additional questions 
 probe buying intentions for automobiles and the respondent's appraisals 
 of present market conditions for purchasing houses, automobiles, and 
 other durables. Demographic information includes ethnic origin, sex, 
age, and education.
description: National sample of dwelling units selected by area 
probability sampling.
description: Datasets: 
DS0: Study-Level Files
DS1: Data File
DS2: SAS Data Definition Statements
description: Population of the United States aged 18 and older in 
households.
DOI: 10.5281/zenodo.14989544
title: Utopian Vectors Corpus of English Utopian Literature

description: A dataset of "eutopian" (utopian/dystopian) literature, including full texts for works published before 1929. The dataset texts are a subset of the works listed in Utopian Literature in English: An Annotated Bibliography From 1516 to the Present by Lyman Tower Sargent. The dataset includes 3 files:



metadata.csv: Includes metadata for the 797 works for which we collected full texts. Most of the metadata columns are derived from the Lyman Tower Sargent bibliography. We cleaned up these columsn for readability (for example, to remove LaTeX code and html tags that were present in some values) but did not otherwise change the values. The columns derived from the Lyman Tower Sargent bibliography are: ID, title, author, keywords, abstract, address, publisher, year, howpublished, editor, pages, isbn, volume, issn, doi, url. We added 4 columns that are defined in codebook.csv.

codebook.csv: Includes definitions of the tags that we added manually to each text, describing whether the eutopia is positive (utopia) or negative (dystopia); the planetary location of the action; the religion of the society depicted; and whether the main audience of the book is young adults/children.

utopian_vectors_full_texts_pre_1929.zip: Many of the texts that we collected remain under copyright, so we cannot publicly release them. This zip file contains the full texts of works published up to and including 1929 that are now out of copyright. The file name for each text corresponds to the ID in the metadata spreadsheet. It .txt, .pdf, and .epub files. Many of the early works are scans of PDFs that will require OCR prior to further analysis. These are indicated by _scanned in the file name; for example, 606_scanned.pdf contains the full text of the work with ID 606 in the metadata.


The full texts of works under copyright are archived at https://doi.org/10.5281/zenodo.15282664. The data is restricted. Anyone wishing to work with or develop this dataset may contact us to request access to it.

Content note: The dataset contains works with racist, misogynist, and other harmful & discriminatory views. Lyman Tower Sargent's notes, contained in the abstract field of the metadata spreadsheet, indicate when this is the case, either explicitly or through genre labels such as ``lost world". 

A short paper describing the dataset and methods for its creation is available at [link to be added once an identifier is obtained].
DOI: 10.4121/40e531f5-30ed-43a8-a6cc-95361315cd21
title: Data underlying the PhD thesis: Shedding light on dynamic processes in the intestinal epithelium

description: This dataset contains data underlying the PhD dissertation of Willem Kasper Spoelstra, under supervision of (promotor) Prof. Dr. Ir. Sander J. Tans, Dr. Jeroen van Zon and (promotor) Prof. Dr. Pieter Rein ten Wolde. In this project, live-cell imaging and single-cell tracking was used to study several complex dynamic processes in intestinal organoids. These processes include cell extrusion (Chapter 2), onset of differentiation (Chapter 3), differentiation and function of rare human BEST4/CA7 cells (Chapter 4). Additionally, two additional chapters describe a new way to predict cell nuclei and membranes in organoids from brightfield images (Chapter 5), and protocols for doing long-term quantitative microscopy on intestinal organoids (Chapter 6). Tracking analyses were performed using a custom-built software (OrganoidTracker). This dataset contains .csv files necessary to replot the graphs in (co-)first author chapters (2, 4 and 6). Data for the other chapters (3 and 5) is available as per the data availability statement in the respective publications. The DOIs of these publications are included.