cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/s8b86b71
title: Camera-Captured Characters and Words images (C3Wi) Dataset

description: A novel dataset of camera-captured character and word images.
DOI: 10.57702/3yvp0q16
title: Amazon co-purchases, Congressional bill sponsorships and DBLP co-authorships

description: Amazon co-purchases, Congressional bill sponsorships and DBLP co-authorships
DOI: 10.57702/85fh6h5w
title: OTTER: Improving Zero-Shot Classification via Optimal Transport

description: Zero-shot models suffer due to artifacts inherited from pretraining. A particularly detrimental artifact, caused by unbalanced web-scale pretraining data, is mismatched label distribution. Existing approaches that seek to repair the label distribution are not suitable in zero-shot settings, as they have incompatible requirements such as access to labeled downstream task data or knowledge of the true label balance in the pretraining distribution.
DOI: 10.15468/dl.ty8wzp
title: Occurrence Download

description: A dataset containing 14290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Juniperus virginiana L.",
 "Geometry POLYGON((-109 26, -87 26, -87 44, -109 44, -109 26))"
 ]
}

 The dataset includes 14290 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055354-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/t5zycr2h
title: FAZSeg: A New User-Friendly Software for Quantification of the Foveal Avascular Zone

description: FAZSeg: A New User-Friendly Software for Quantification of the Foveal Avascular Zone
DOI: 10.57702/wexr3fpa
title: DARLEI: Deep Accelerated Reinforcement Learning with Evolutionary Intelligence

description: DARLEI is a framework that combines evolutionary algorithms with parallelized reinforcement learning for efficiently training and evolving populations of UNIMAL agents.
DOI: 10.57702/q9x0epwr
title: Solar PV

description: A dataset of solar PV
DOI: 10.57702/iyt928vc
title: Bilan électrique 2021

description: A dataset of electricity consumption
DOI: 10.57702/uq6x3zw8
title: When is a convolutional ﬁlter easy to learn?

description: We consider conditions under which a single ReLU convolutional ﬁlter is learnable with gradient methods, a special case of which is a single ReLU neuron.
DOI: 10.57702/dy4mjvz6
title: Learning and generalization in overparameterized neural networks, going beyond two layers

description: We study the learning and generalization of overparameterized neural networks, going beyond two layers.
DOI: 10.57702/bem06sil
title: Auto-Weka Benchmark

description: A benchmark dataset for automated machine learning, consisting of a set of algorithms and instances, with a focus on hyperparameter optimization.
DOI: 10.57702/h484rdy9
title: Corpora Generation for Grammatical Error Correction

description: Two approaches for generating large parallel datasets for Grammatical Error Correction (GEC) using publicly available Wikipedia data.
DOI: 10.57702/4i3sy8pp
title: Neural Language Correction with Character-Based Attention

description: Neural language correction with character-based attention.
DOI: 10.57702/g3jo1hyl
title: Learning Audio – Sheet Music Correspondences for Score Identification and Offline Alignment

description: This work addresses the problem of matching short excerpts of audio with their respective counterparts in sheet music images.
DOI: 10.57702/evr6b7ee
title: Linux kernel dataset

description: A dataset of functions which were drawn from several executable binaries including the Linux kernel.
DOI: 10.57702/nv3jevzb
title: D&D, PROTEINS, and COLLAB datasets

description: D&D, PROTEINS, and COLLAB datasets for graph classification tasks
DOI: 10.6073/pasta/f3f97c7fdd287c29084bf52fc759a801
title: Time series of high-frequency meteorological data at Falling Creek Reservoir, Virginia, USA 2015-2022

description: This dataset consists of meteorological variables measured by a research-grade Campbell Scientific meteorological station deployed on the dam of Falling Creek Reservoir. Falling Creek Reservoir (Vinton, Virginia, USA), is owned and operated by the Western Virginia Water Authority as a primary water source. The meteorological variables include photosynthetic active radiation, barometric pressure, ambient air temperature, relative humidity, rainfall, wind speed and direction, shortwave radiation, infrared radiation, and albedo. All variables were measured every 5 minutes from 2015-07-07 16:45:00 to 2015-07-13 12:20:00 (YYYY-MM-DD hh:mm:ss) and every minute thereafter to the end of the dataset at 2022-12-31 23:59:00. We applied substantial quality assurance/quality control protocols to the raw observations, as described in the methods.
DOI: 10.57702/kz4ogtuv
title: Geospatial Gold Standard dataset

description: The Geospatial Gold Standard dataset contains 200 place-related questions collected for translating questions into GeoSPARQL queries.
DOI: 10.57702/k8yohg5f
title: YAGO2geo dataset

description: The YAGO2geo dataset is an enhanced version of YAGO2, linking and adding more than one million places from OpenStreetMap data to YAGO2.
DOI: 10.57702/4ulyuqxk
title: QUERY2BOX: REASONING OVER KNOWLEDGE GRAPHS IN VECTOR SPACE USING BOX EMBEDDINGS

description: Answering complex logical queries on large-scale incomplete knowledge graphs (KGs) is a fundamental yet challenging task. Recently, a promising approach to this problem has been to embed KG entities as well as the query into a vector space such that entities that answer the query are embedded close to the query.
DOI: 10.57702/yp9zwgh5
title: Bilinear Bandits with Low-rank Structure

description: The bilinear bandit problem with low-rank structure in which an action takes the form of a pair of arms from two different entity types, and the reward is a bilinear function of the known feature vectors of the arms.
DOI: 10.6073/pasta/e2776f99d78433a3458212a7ffb30163
title: Crustacean zooplankton density and biomass and rotifer density for Beaverdam Reservoir, Carvins Cove Reservoir, Gatewood Reservoir, and Spring Hollow Reservoir in southwestern Virginia, USA 2014-2016

description: Crustacean zooplankton density and biomass and rotifer density were
 measured from 2014 to 2016 in four drinking water reservoirs in
 southwestern Virginia, USA. These reservoirs are: Beaverdam Reservoir
 (Vinton, Virginia), Carvins Cove Reservoir (Roanoke, Virginia),
 Gatewood Reservoir (Pulaski, Virginia), and Spring Hollow Reservoir
 (Salem, Virginia). Beaverdam, Carvins Cove and Spring Hollow
 Reservoirs are owned and operated by the Western Virginia Water
 Authority as primary or secondary drinking water sources for Roanoke,
 Virginia, and Gatewood Reservoir is a drinking water source for the
 Town of Pulaski, Virginia. The dataset consists of both integrated
 vertical tow samples from the whole water column, just the epilimnion,
 and just the hypolimnion (as the difference between the full water
 column and epilimnion tows), as well as discrete depth measurements
 collected with a Schindler trap. All samples were collected at the
 deepest site of each reservoir adjacent to the dam. The samples were
 collected approximately fortnightly in the spring, summer, and autumn
 months and there are also data from 24-hour sampling campaigns.
DOI: 10.57702/5yhmnffy
title: CUED_SPEECH at TREC 2020 podcast summarization track

description: Large English document corpus containing 100,000 podcasts
DOI: 10.57702/8w06yqnb
title: Phase Segregation Dataset

description: A dataset containing 8640 training samples and 8640 test samples for phase segregation.
DOI: 10.57702/w7i4l8nq
title: Rethinking reinforcement learning for recommendation: A prompt perspective

description: A prompt-based approach for sequential recommendation.
DOI: 10.57702/yxt8gme7
title: YooChoose RetailRocket

description: A real-world e-commerce dataset.
DOI: 10.57702/5o4s70r0
title: Skill Rating in Competitive Sports

description: The dataset used in this paper for skill rating in competitive sports, including tennis, football, and chess.
DOI: 10.6073/pasta/cf52e50ccd977df76f44b2d238fd7ba1
title: Crustacean and rotifer density and biomass for Beaverdam Reservoir, Falling Creek Reservoir, Carvins Cove Reservoir, Gatewood Reservoir, and Spring Hollow Reservoir in southwestern Virginia, USA 2014-2022

description: Crustacean and rotifer density and biomass were measured from 2014 to 2022 in five drinking water reservoirs in southwestern Virginia, USA. These reservoirs are: Beaverdam Reservoir (Vinton, Virginia), Falling Creek Reservoir (Vinton, Virginia), Carvins Cove Reservoir (Roanoke, Virginia), Gatewood Reservoir (Pulaski, Virginia), and Spring Hollow Reservoir (Salem, Virginia). Beaverdam, Falling Creek, Carvins Cove and Spring Hollow Reservoirs are owned and operated by the Western Virginia Water Authority as primary or secondary drinking water sources for Roanoke, Virginia, and Gatewood Reservoir is a drinking water source for the Town of Pulaski, Virginia. The dataset consists of integrated vertical tow samples from the whole water column, just the epilimnion, and just the hypolimnion (as the difference between the full water column and epilimnion tows), as well as discrete depth measurements collected with a Schindler trap. Most samples were collected at the deepest site of each reservoir adjacent to the dam. Sampling frequency and duration varied among reservoirs and years and included weekly to monthly routine monitoring as well as intensive 24-hour sampling campaigns. In 2014-2016, zooplankton samples were collected approximately fortnightly in the spring, summer, and autumn months at Beaverdam Reservoir, Carvins Cove Reservoir, and Gatewood Reservoirs. Falling Creek Reservoir samples were collected weekly to monthly in spring and summer 2014, and Spring Hollow Reservoir samples were collected approximately fortnightly in the spring, summer, and autumn months of 2015 and 2016. In 2019, zooplankton samples were collected approximately weekly to monthly from April to November at Beaverdam Reservoir and April to September at Falling Creek Reservoir. In 2020, zooplankton samples were collected approximately weekly to monthly from May to December at Beaverdam Reservoir and June to September at Falling Creek Reservoir. In 2021 and 2022, zooplankton were collected monthly from March to December in 2021 and January to May in 2022 at Beaverdam Reservoir. Falling Creek Reservoir zooplankton samples in 2021 and 2022 were sparsely collected. During the 24-hour sampling campaigns conducted in Beaverdam Reservoir from 2019-2022, samples were collected from both a deep pelagic site and a shallow littoral site.
DOI: 10.57702/n09wqb3d
title: LibriTTS-R

description: The LibriTTS-R dataset, used as a reference speech dataset for the proposed TTSDS benchmark.
DOI: 10.57702/yuwhm1o4
title: Developing Medical AI: A Cloud-Native Audio-Visual Data Collection Study

description: A cloud-native audio-visual data collection study for developing medical AI
DOI: 10.57702/p5rxdlvv
title: Agri-ImageNet

description: Agricultural image dataset used to evaluate the proposed HaST-CW model.
DOI: 10.57702/54haqkvg
title: VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement

description: The VLEngagement dataset is a collection of scientific video lectures with various features extracted from the lecture transcripts, metadata, and Wikipedia topics.
DOI: 10.6073/pasta/457120a9de886a1470c22a01d808ab2d
title: Water chemistry time series for Beaverdam Reservoir, Carvins Cove Reservoir, Falling Creek Reservoir, Gatewood Reservoir, and Spring Hollow Reservoir in southwestern Virginia, USA 2013-2022

description: Depth profiles of dissolved organic carbon and total and dissolved nitrogen and phosphorus were sampled from 2013 to 2022 in five drinking water reservoirs in southwestern Virginia, USA. Some additional dissolved nitrogen and phosphorus samples from January to March 2023 are included in this data product. The five drinking water reservoirs are: Beaverdam Reservoir (Vinton, Virginia), Carvins Cove Reservoir (Roanoke, Virginia), Falling Creek Reservoir (Vinton, Virginia), Gatewood Reservoir (Pulaski, Virginia), and Spring Hollow Reservoir (Salem, Virginia). Beaverdam, Carvins Cove, Falling Creek, and Spring Hollow Reservoirs are owned and operated by the Western Virginia Water Authority as primary or secondary drinking water sources for Roanoke, Virginia, and Gatewood Reservoir is a drinking water source for the town of Pulaski, Virginia. The dataset consists of depth profiles of water chemistry samples measured at the deepest site of each reservoir adjacent to the dam. Additional water chemistry samples were collected at a gauged weir on Falling Creek Reservoir's primary inflow tributary, as well as surface samples at multiple upstream and inflow sites in Falling Creek Reservoir 2014-2022 and Beaverdam Reservoir in 2019 and 2020. One upstream site at BVR was sampled at depth in 2022. Inflow sites at Carvins Cove Reservoir were sampled from 2020 - 2022. The water column samples were collected approximately fortnightly from March-April, weekly from May-October, and monthly from November-February at Falling Creek Reservoir and Beaverdam Reservoir, approximately fortnightly from May-August in most years at Carvins Cove Reservoir, and approximately fortnightly from 2014-2016 in Gatewood and Spring Hollow Reservoirs, though sampling frequency and duration varied among reservoirs and years. Depth profiles of dissolved inorganic carbon were also collected from 2018-2022, but the analytical method for this analyte is still in development and these concentrations should be considered as preliminary data only.
DOI: 10.57702/sjdl7oz5
title: ZeroQuant-FP: A Leap Forward in LLMs Post-Training W4A8 Quantization Using Floating-Point Formats

description: The dataset used in the paper is not explicitly described, but it is mentioned that it is a large language model dataset.
DOI: 10.57702/dn0pmcbs
title: Opt: Open pre-trained transformer language models

description: The OPT dataset is a large language model dataset used in the paper.
DOI: 10.57702/ihtqbls4
title: Integer or floating point? new outlooks for low-bit quantization on large language models

description: The dataset used in the paper is not explicitly described, but it is mentioned that it is a large language model dataset.
DOI: 10.15468/dl.5n2wpu
title: Occurrence Download

description: A dataset containing 2905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panicum capillare L.",
 "Geometry POLYGON((-109 26, -87 26, -87 44, -109 44, -109 26))"
 ]
}

 The dataset includes 2905 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055355-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/q75oe8m8
title: A Sophisticated Framework for the Accurate Detection of Phishing Websites

description: Phishing is an increasingly sophisticated form of cyberattack causing tremendous loss to many global organizations. A comprehensive model for phishing website detection is proposed in this study.
DOI: 10.57702/qkptn8w5
title: Phishing Dataset for Machine Learning: Feature Evaluation

description: A comprehensive model for phishing website detection is proposed in this study.
DOI: 10.57702/le7quv3t
title: Phishing Websites Dataset

description: A comprehensive model for phishing website detection is proposed in this study.
DOI: 10.57702/mcam7zcl
title: Massive Multitask Language Understanding (MMLU) dataset

description: The MMLU dataset is a benchmark for measuring the behavior of large language models on a number of tasks. It consists of 15908 multiple choice questions distributed across 57 subject areas.
DOI: 10.15468/dl.uwetru
title: Occurrence Download

description: A dataset containing 2781 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Marine Turtles"
 ]
}

 The dataset includes 2781 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055356-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/tzz91j0j
title: Bidirectional Mapping Coupled GAN for Generalized Zero-Shot Learning

description: The proposed method is used for generalized zero-shot learning tasks. It uses a bidirectional mapping coupled generative adversarial network (BMCoGAN) to learn the joint distribution of seen and unseen domains.
DOI: 10.57702/87u73hd3
title: AWA1 and AWA2

description: The AWA1 and AWA2 datasets are used for zero-shot learning tasks.
DOI: 10.57702/lkt4haby
title: ChartGemma

description: ChartGemma is a multimodal instruction-tuned model for chart understanding and reasoning. It uses instruction-tuning data generated directly from chart images, capturing more diverse and relevant information while preserving complex visual features.
DOI: 10.57702/gw9bjayp
title: ChartQA

description: ChartQA is a benchmark for question answering about charts with visual and logical reasoning.
DOI: 10.57702/btlqme8d
title: ChartFC

description: A dataset for chart-based fact-checking, consisting of 15,886 charts with human-written claims.
DOI: 10.57702/rqnpqrwk
title: COMPS

description: A collection of English minimal pair sentences that jointly tests pre-trained language models on their ability to attribute properties to concepts and their ability to demonstrate property inheritance behavior.
DOI: 10.57702/z65thbtm
title: GPT-3.5

description: A fine-tuned version of the GPT-3 model, which is trained on code and human-written demonstrations.
DOI: 10.57702/cgvkt8c6
title: BuddhaBirdRealData

description: A real-world dataset for testing the proposed method for light-resistant optical flow estimation and pose estimation.
DOI: 10.57702/ni2osrha
title: EC Number Dataset

description: The dataset is used for enzyme-catalyzed reaction classiﬁcation task.
DOI: 10.15468/dl.e85zu8
title: Occurrence Download

description: A dataset containing 309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scleria ciliata Michx.",
 "Geometry POLYGON((-109 26, -87 26, -87 44, -109 44, -109 26))"
 ]
}

 The dataset includes 309 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055357-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/ctnzqyrg
title: Aachen Day-Night

description: Establishing both accurate and robust correspondences across images is an underpinning step to many computer vision algorithms.
DOI: 10.57702/c3h5gwht
title: InLoc

description: Establishing both accurate and robust correspondences across images is an underpinning step to many computer vision algorithms.
DOI: 10.34976/hx87-kx72
title: Performance Monitoring and Accountability 2020 (PMA2020) Ethiopia Maternal Newborn Health
DOI: 10.57702/pp23pc7x
title: MOFJSP

description: The MOFJSP dataset is a multi-objective flexible job shop scheduling problem, which is a combination of assigning each operation to a machine and ordering operations on the machines.
DOI: 10.57702/1tsca23r
title: Kacem Instances

description: The Kacem dataset is a set of 4 instances of the flexible job shop scheduling problem.
DOI: 10.57702/1mkqjfbh
title: Uniswap V2 Historical Daily Snapshots

description: The dataset contains historical daily snapshots of Uniswap V2, including daily trading volume in USD and reserves of each token in the liquidity pool.
DOI: 10.57702/253onr6v
title: Hypergraph Learning with Line Expansion

description: The dataset is used for semi-supervised learning on hypergraphs.
DOI: 10.57702/6maswp8w
title: Guaranteeing Service in Connected Microgrids: Storage Planning and Optimal Power Sharing Policy

description: The dataset used in this paper is a stochastic control framework to determine battery capacity, for microgrids, which ensures that during the operational phase, BESs’ operating range is respected with pre-specified high probability.
DOI: 10.57702/zgd0abpb
title: Fluid Annotation: A Human-Machine Collaboration Interface for Full Image Annotation

description: Fluid Annotation is an intuitive human-machine collaboration interface for annotating the class label and outline of every object and background region in an image.
DOI: 10.34976/m79n-6577
title: Performance Monitoring and Accountability 2020 (PMA2020) Kenya Nutrition Round 2 Household, Female and Child Survey
DOI: 10.57702/05e141t5
title: Photoreceptor Responsivities

description: The spectral responsivities of the three photoreceptor pigments were measured and used to construct the following table of photoreceptivities, denoted R, G, B.
DOI: 10.57702/3g4oxv9y
title: Synthesis Step by Step (S3)

description: Data Synthesis is a promising way to train a small model with very little labeled data. One approach for data synthesis is to leverage the rich knowledge from large language models to synthesize pseudo training examples for small models, making it possible to achieve both data and compute efficiency at the same time.
DOI: 10.5281/zenodo.14590327
title: tockus_fasciatus_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14590328
title: tockus_fasciatus_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14590333
title: tockus_flavirostris_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14590334
title: tockus_flavirostris_decontaminated_FSCR.fasta.gz
DOI: 10.57702/b30i09na
title: Interstate Dispute Network

description: The Interstate Dispute Network from 1816 to 2010 contains information about every interstate dispute during this period, including the level of hostility resulting from the dispute and the number of casualties.
DOI: 10.15468/dl.d8nnq6
title: Occurrence Download

description: A dataset containing 1888 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setaria parviflora (Poir.) Kerguélen",
 "Geometry POLYGON((-109 26, -87 26, -87 44, -109 44, -109 26))"
 ]
}

 The dataset includes 1888 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055358-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/qxnw7hl2
title: US Migration dataset

description: The US Migration dataset contains information about the migration patterns of people in the United States between 1995 and 2000.
DOI: 10.57702/yn5r4sqz
title: TREC 2004 Robust Retrieval Track

description: The TREC 2004 Robust Retrieval Track dataset contains a collection of documents and queries for robust retrieval tasks.
DOI: 10.57702/5yq7l4us
title: AOL Dataset

description: The AOL dataset contains a collection of queries and documents for search engine evaluation.
DOI: 10.57702/u71tipn0
title: Bounding Boxes and Probabilistic Graphical Models: Video Anomaly Detection Simplified

description: Video Anomaly Detection as a probabilistic analysis of object bounding boxes
DOI: 10.34976/mcfq-rk60
title: Performance Monitoring and Accountability 2020 (PMA2020) Burkina Faso Random Digit Dialing (RDD) Survey
DOI: 10.57702/m5whv0on
title: StreetScene: A New Dataset and Evaluation Protocol for Video Anomaly Detection

description: A new dataset and evaluation protocol for video anomaly detection
DOI: 10.57702/g1evxa8e
title: Anomaly Detection in Video via Self-Supervised and Multi-Task Learning

description: Anomaly detection in video via self-supervised and multi-task learning
DOI: 10.57702/1vndja7p
title: Towards Real-Time Multi-Object Tracking

description: Towards real-time multi-object tracking
DOI: 10.57702/geiuifar
title: MWHS Challenge 2017

description: Multi-Modality Whole Heart Segmentation (MWHS) Challenge 2017 dataset for cardiac segmentation
DOI: 10.57702/k9b9ojyo
title: 3D-Dachmodell (LOD2)

description: The dataset is a 2.5D city model provided by (OPEN DATA 2018) which contains buildings with detailed roof structures and a terrain model.