cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/c99j19ov
title: Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress

description: Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress
DOI: 10.57702/1n6ib543
title: Lifelong-CIFAR10 and Lifelong-ImageNet

description: Lifelong-CIFAR10 and Lifelong-ImageNet are ever-expanding pools of test samples designed to enhance the robustness of current benchmarks by mitigating the issue of overfitting to specific dataset biases.
DOI: 10.57702/7lpppe7l
title: SWLDA dataset

description: The dataset used for the experiments on the SWLDA algorithm
DOI: 10.57702/s7rpaf01
title: Stack Overflow Performance Discussions

description: The dataset used for the study, containing 2,304 posts related to performance of software components
DOI: 10.57702/pbtzw8ly
title: POEM: 1-BIT POINT-WISE OPERATIONS BASED ON E-M

description: Real-time point cloud processing is fundamental for lots of computer vision tasks, while still challenged by the computational problem on resource-limited edge devices.
DOI: 10.57702/ozn3mpzi
title: ShapeNet Parts

description: ShapeNet Parts is a dataset for part segmentation of 3D shapes.
DOI: 10.57702/ia0crkaa
title: Partial mean processes with generated regressors

description: Partial mean with generated regressors: Continuous treatment eﬀects and nonseparable models
DOI: 10.57702/5phljivb
title: TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving

description: The Temporal Occupancy Flow Graph (TOFG) is a unified environment representation that unifies the map information and vehicle trajectories in a homogeneous graph.
DOI: 10.57702/79tai59e
title: NuPlan: A Closed-Loop ML-Based Planning Benchmark for Autonomous Vehicles

description: The NuPlan dataset is a closed-loop motion planning benchmark for autonomous vehicles.
DOI: 10.57702/xlq1br4l
title: Physics-based Learned Design for Fourier Ptychographic Microscopy

description: Dataset for learning LED source patterns for Fourier Ptychographic Microscopy
DOI: 10.6084/m9.figshare.c.3599279_d1.v1
title: Additional file 1: of Acute phase protein mRNA expressions and enhancement of antioxidant defense system in Black-meated Silkie Fowls supplemented with clove (Eugenia caryophyllus) extracts under the influence of chronic heat stress

description: Bello AU, Sulaiman JA, Aliyu MS. Acute phase protein mRNA expressions and enhancement of antioxidant defense system in Black-meated Silkie Fowls supplemented with clove (Eugenia caryophyllus) extracts under the influence of chronic heat stress, data sets. figshare. 2016.(XLSX 8 kb)
DOI: 10.57702/hkaaajqh
title: Ruozhiba dataset

description: The Ruozhiba dataset is a distinctive Chinese natural language processing dataset originating from the Ruozhiba community on Baidu Tieba, a Chinese online forum where members exchange ideas that are both peculiar and tinged with logic, filled with a wealth of brain teasers and metaphorical phrases.
DOI: 10.57702/wjmukbxu
title: ENet: A Deep Neural Network Architecture for Real-time Semantic Segmentation

description: A dataset for real-time semantic segmentation.
DOI: 10.57702/yj8ljz03
title: 2-input XOR dataset

description: The dataset used in the paper is a 2-input XOR dataset, which is a binary classification problem.
DOI: 10.57702/eb7nzsjd
title: Netﬂix 100M

description: The Netﬂix 100M dataset contains 100 million ratings from 480,189 users on 17,770 movies.
DOI: 10.57702/ga40pvkp
title: Iterative Teaching by Data Hallucination

description: The dataset used in the paper for iterative teaching by data hallucination.
DOI: 10.57702/0lbokt0o
title: Pool of unlabeled examples

description: The dataset used in the paper is a pool of unlabeled examples, sampled iid from a distribution over R.
DOI: 10.6084/m9.figshare.c.3599324_d1.v1
title: MOESM1 of Changes in antidiabetic prescription patterns and indicators of diabetic control among 200,000 patients over 13Â years at a single institution in Japan

description: Additional file 1: Table S1. The glycated hemoglobin and glycated albumin data in the first repeated cross-sectional study.
DOI: 10.6084/m9.figshare.c.3599324_d2.v1
title: MOESM4 of Changes in antidiabetic prescription patterns and indicators of diabetic control among 200,000 patients over 13Â years at a single institution in Japan

description: Additional file 4: Table S4. Antidiabetic medication prescription data obtained in the retrospective cohort study.
DOI: 10.6084/m9.figshare.c.3599324_d3.v1
title: MOESM2 of Changes in antidiabetic prescription patterns and indicators of diabetic control among 200,000 patients over 13Â years at a single institution in Japan

description: Additional file 2: Table S2. The antidiabetic medication prescription data obtained in the second repeated cross-sectional study.
DOI: 10.6084/m9.figshare.c.3599324_d4.v1
title: MOESM3 of Changes in antidiabetic prescription patterns and indicators of diabetic control among 200,000 patients over 13Â years at a single institution in Japan

description: Additional file 3: Table S3. The glycated hemoglobin and glycated albumin data obtained in the retrospective cohort study.
DOI: 10.57702/1j4dnxp7
title: Diabetes Support Group, BGnow, TuDiabetes Forum

description: Diabetes Support Group dataset is collected from posts of users who follow and participate in diabetes support groups like “diabeteslife” or “diabetesconnect” on Twitter. BGnow Dataset: Another dataset derived from diabetic users who actively share their wellness data on Twitter. TuDiabetes Forum: We also collected a dataset from the TuDiabetes forum, a popular diabetes community operated by the Diabetes Hands Foundation.
DOI: 10.57702/re2b6p6q
title: BGnow, TuDiabetes Forum

description: BGnow dataset is derived from diabetic users who actively share their wellness data on Twitter. TuDiabetes Forum: We also collected a dataset from the TuDiabetes forum, a popular diabetes community operated by the Diabetes Hands Foundation.
DOI: 10.6084/m9.figshare.c.3599339_d1.v1
title: MOESM2 of Strategies of offspring investment and dispersal in a spatially structured environment: a theoretical study using ants

description: Additional file 2: Netlogo model code. This file comprises the Netlogo model.
DOI: 10.57702/xi9kqryu
title: TuDiabetes Forum

description: TuDiabetes Forum: We also collected a dataset from the TuDiabetes forum, a popular diabetes community operated by the Diabetes Hands Foundation.
DOI: 10.57702/km9t9d0d
title: CSRN: Collaborative Sequential Recommendation Networks for News Retrieval

description: The CSRN dataset is a collaborative sequential recommendation network for news retrieval.
DOI: 10.6084/m9.figshare.c.3599306_d9.v1
title: Additional file 10: of Bayesian reversible-jump for epistasis analysis in genomic studies

description: genomic dataset. (ZIP 9Â kb)
DOI: 10.6084/m9.figshare.c.3599306_d10.v1
title: Additional file 9: of Bayesian reversible-jump for epistasis analysis in genomic studies

description: Text S2. SAS code. (PROC QTL) (SAS 64Â kb)
DOI: 10.57702/gxogtwqk
title: Generalized Planning: Non-Deterministic Abstractions and Trajectory Constraints

description: The dataset is used to test the generalized planning algorithm. It consists of a set of problems that share a common structure and can be solved by a single policy.
DOI: 10.57702/5goj0u58
title: EU-Parliament Corpus

description: The dataset is used to analyze corpora in a completely language independent and unsupervised way without any prior linguistic knowledge.
DOI: 10.57702/rtb3a3dh
title: Chinese Corpus

description: The dataset is used to analyze corpora in a completely language independent and unsupervised way without any prior linguistic knowledge.
DOI: 10.57702/n3okr5gi
title: China Physiological Signal Challenge 2018 (CPSC2018)

description: A public training dataset for ECG classification
DOI: 10.57702/p4w9iq9v
title: Georgia dataset

description: The Georgia dataset is a sample dataset from the Python library mgwr, containing socio-economic attributes of 159 counties in Georgia, USA.
DOI: 10.57702/1ga08ba2
title: Chapman University, Shaoxing People’s Hospital, and Ningbo First Hospital database

description: A public dataset for ECG classification
DOI: 10.57702/0vw1hfs2
title: Mistral-7B-Instruct-v0.2

description: The dataset used in the paper is a benchmark contamination detection dataset, which contains questions and answers from various benchmarks.
DOI: 10.57702/yof3ukr3
title: WMDP

description: The dataset used in the paper is a benchmark contamination detection dataset, which contains questions and answers from various benchmarks.
DOI: 10.57702/6vlhpxa4
title: Efficient correlation-based discretization of continuous variables for annealing machines

description: The dataset used for the proposed efficient correlation-based discretization method for annealing machines.
DOI: 10.57702/34l93bo3
title: Linear regression problems

description: The dataset used for the comparison with the proposed method.
DOI: 10.57702/ye0h42cx
title: Multi-Task Learning for Federated Classification and Regression

description: The proposed algorithm allows personalizing the learning model for each participant without sharing the training data and improves the performance, compared to that of the locally trained models provide. The method is especially beneﬁcial in the case of the low volumes of data available to individual participants.
DOI: 10.57702/g64td8to
title: Left-turn gap acceptance decisions

description: The dataset used in the study on left-turn gap acceptance decisions by human drivers.
DOI: 10.57702/ow8lqhgz
title: MuReD (Multi-label Retinal Diseases) dataset

description: The MuReD dataset was constructed using the ARIA dataset, containing 143 images and three labels to predict, the STARE dataset, with 388 images and 21 conditions, and the training set of the RFMiD dataset, which consists of 1920 images with 46 different pathologies.
DOI: 10.57702/43sbmxd8
title: VGDL Games

description: VGDL games dataset used for training and testing the random forest classifier
DOI: 10.57702/dcv6elkn
title: VGDL Games (Test)

description: VGDL games dataset used for testing the random forest classifier
DOI: 10.57702/xt4pqqa2
title: Indian Pines dataset

description: The Indian Pines dataset contains 16 land cover types, which leaves 200 bands to be used for experiments after removing noise and water absorption bands.
DOI: 10.57702/n8rx9q2a
title: NGC1904 dataset

description: A dataset of 1024x1024 pixel CCD images of the globular cluster NGC1904.
DOI: 10.57702/1jjpzx34
title: Display Advertising Dataset

description: The dataset used in the paper is a large-scale display advertising dataset, containing user traffic and ad information.
DOI: 10.57702/hofhxqpd
title: EMPIAR-10028

description: The dataset used in this paper for contrast estimation and image denoising in cryo-electron microscopy.
DOI: 10.57702/3lgj637m
title: EIT-1M

description: A large-scale multi-modal dataset comprising 1 million EEG-image-text pairs.
DOI: 10.57702/fdzuks3k
title: Indivisible Participatory Budgeting under Weak Rankings

description: Participatory budgeting (PB) has attracted much attention in recent times due to its wide applicability in social choice settings. In this paper, we consider indivisible PB which involves allocating an available, limited budget to a set of indivisible projects, each having a certain cost, based on the preferences of agents over projects.
DOI: 10.57702/w1h1dlly
title: Truss Design Study

description: A dataset of historical human design data used to train a deep learning framework to learn human design strategies and generate high performing designs.
DOI: 10.57702/51jisiq1
title: Brazilian, American, and European air-traffic networks

description: The dataset used in the paper is a real-world temporal dataset for network embedding, specifically the Brazilian, American, and European air-traffic networks.
DOI: 10.57702/5zdh809c
title: PEARL

description: Conversational recommendation dataset synthesized with persona- and knowledge-augmented LLM simulators.
DOI: 10.57702/bwxf40ys
title: Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models

description: The authors used a variety of datasets for question answering, including TriviaQA, Natural Questions, CountryQA, and Jeopardy questions.
DOI: 10.57702/ebd9znb9
title: CountryQA

description: The authors used the CountryQA dataset for their experiments.
DOI: 10.57702/d1rgejo0
title: Jeopardy Questions

description: The authors used the Jeopardy questions dataset for their experiments.
DOI: 10.57702/pinsydf1
title: Understanding Visual Saliency in Mobile User Interfaces

description: The dataset for visual saliency in mobile user interfaces, including 193 mobile UIs and their associated fixation data.
DOI: 10.57702/4c01jv39
title: ABO Dataset

description: Abo: Dataset and benchmarks for real-world 3D object understanding
DOI: 10.57702/qn856ckq
title: Scanned Objects Dataset

description: Scanned objects dataset
DOI: 10.57702/vm9oi2ws
title: 8iVFBv2

description: The dataset used in the paper is a 3D point cloud compression dataset, consisting of four sequences: longdress, redandblack, loot and soldier. Each sequence contains 300 frames.
DOI: 10.57702/rd6rjeug
title: Soft Actor-Critic

description: A soft actor-critic algorithm for off-policy maximum entropy deep reinforcement learning.
DOI: 10.57702/921k60wh
title: Device Latency and Accumulation Score Dataset

description: The dataset used in this paper for device identification, containing device latency measurements and accumulation scores.
DOI: 10.57702/bc1g0t9e
title: A dataset and baselines for multilingual reply suggestion

description: A dataset and baselines for multilingual reply suggestion.
DOI: 10.57702/xufm6tcm
title: iEval: Interactive evaluation framework for open-domain empathetic chatbots

description: An interactive evaluation framework for open-domain empathetic chatbots.
DOI: 10.57702/uzsjat32
title: Stanford Alpaca: An instruction-following LLaMA model

description: An instruction-following LLaMA model.
DOI: 10.57702/ppy33e9h
title: Raspberry Pi Tabanlı Akıllı Robot Kol Kontrol Sistemi

description: 3D modelleme programları ile tasarlanan robotik kol sistemi, Raspberry Pi ve USB kamera kullanılarak bilgisayar görme uygulaması gerçekleştirilmiştir.
DOI: 10.6084/m9.figshare.24786150
title: Impact of psoriasis disease severity and special area involvement on patient-reported outcomes in the real world: an analysis from the CorEvitas psoriasis registry

description: The impact of psoriasis in special areas (i.e., scalp, nails, palms, soles, genitals) on patient physical functioning, health-related quality of life (HRQoL), and work abilities has not been fully characterized. We assessed associations between disease severity and special area involvement in psoriasis symptoms, HRQoL, and work/activity impairment. Patients with psoriasis from the CorEvitas Psoriasis Registry who initiated systemic treatment between 04/2015–06/2020 were included. Outcomes were change from baseline in psoriasis symptoms, Dermatology Life Quality Index (DLQI), and work/activity impairment at 6 months stratified by baseline disease severity and special area involvement. Among 2620 patients, increasing disease severity was associated with worsening patient-reported outcomes. Patients with (46.0%; <i>N</i> = 1205) versus without (54.0%; <i>N</i> = 1415) psoriasis in special areas reported greater HRQoL and work/activity impairment. Over 6 months, patients with unchanged or worsening disease severity had reduced HRQoL and increased symptom severity; incremental increases in patient HRQoL and decreases in symptom severity were associated with improved disease severity. Higher disease severity and special area involvement was associated with worse outcomes and impaired work abilities. These data highlight the significant impact that adequate treatment of severe psoriasis and/or special area involvement may have on patient HRQoL and function.
DOI: 10.6084/m9.figshare.24786150.v1
title: Impact of psoriasis disease severity and special area involvement on patient-reported outcomes in the real world: an analysis from the CorEvitas psoriasis registry

description: The impact of psoriasis in special areas (i.e., scalp, nails, palms, soles, genitals) on patient physical functioning, health-related quality of life (HRQoL), and work abilities has not been fully characterized. We assessed associations between disease severity and special area involvement in psoriasis symptoms, HRQoL, and work/activity impairment. Patients with psoriasis from the CorEvitas Psoriasis Registry who initiated systemic treatment between 04/2015–06/2020 were included. Outcomes were change from baseline in psoriasis symptoms, Dermatology Life Quality Index (DLQI), and work/activity impairment at 6 months stratified by baseline disease severity and special area involvement. Among 2620 patients, increasing disease severity was associated with worsening patient-reported outcomes. Patients with (46.0%; <i>N</i> = 1205) versus without (54.0%; <i>N</i> = 1415) psoriasis in special areas reported greater HRQoL and work/activity impairment. Over 6 months, patients with unchanged or worsening disease severity had reduced HRQoL and increased symptom severity; incremental increases in patient HRQoL and decreases in symptom severity were associated with improved disease severity. Higher disease severity and special area involvement was associated with worse outcomes and impaired work abilities. These data highlight the significant impact that adequate treatment of severe psoriasis and/or special area involvement may have on patient HRQoL and function.
DOI: 10.57702/k43o4jbp
title: Deep learning-based dataset for computer-aided detection of medical images

description: Deep learning-based dataset for computer-aided detection of medical images
DOI: 10.6084/m9.figshare.27000088
title: Bibliometric analysis and description of research trends in the treatment of psoriasis with biologic agents in the past two decades (2004–2023)

description: Biologics are essential in treating psoriasis. In recent years, the pathogenesis exploration and development of new target drugs have provided a more complete evidence-based foundation for the biological treatment of psoriasis. This study aims to use bibliometrics to analyze the research status and development trends of biologics in psoriasis. The bibliometric analysis of publications related to biologics in psoriasis from 2004 to 2023 was conducted using the Web of Science Core Collection (WoSCC) database as the search data source. To perform the bibliometric analysis and create visual knowledge graphs, CiteSpace, the Bibliometrix R package, and VOSviewers were utilized. The study included a total of 3800 articles. The United States had the highest number of publications. The leading authors and institutions were Steven R. Feldman and the University of Manchester, respectively, in the global partnership. The cluster plot divided all keywords into 11 categories. Currently, Secukinumab and Guselkumab are representative biological agents being studied due to their considerable efficacy and long-term safety. Targeted therapy has emerged as a significant trend in the current treatment of psoriasis. Early and active use of biologics can effectively control disease progression, prevent or delay the occurrence of comorbidities, and may even alter the natural course of psoriasis. However, further investigation is required to fully understand the specific mechanisms of psoriasis and the use of biological agents.
DOI: 10.6084/m9.figshare.27000088.v1
title: Bibliometric analysis and description of research trends in the treatment of psoriasis with biologic agents in the past two decades (2004–2023)

description: Biologics are essential in treating psoriasis. In recent years, the pathogenesis exploration and development of new target drugs have provided a more complete evidence-based foundation for the biological treatment of psoriasis. This study aims to use bibliometrics to analyze the research status and development trends of biologics in psoriasis. The bibliometric analysis of publications related to biologics in psoriasis from 2004 to 2023 was conducted using the Web of Science Core Collection (WoSCC) database as the search data source. To perform the bibliometric analysis and create visual knowledge graphs, CiteSpace, the Bibliometrix R package, and VOSviewers were utilized. The study included a total of 3800 articles. The United States had the highest number of publications. The leading authors and institutions were Steven R. Feldman and the University of Manchester, respectively, in the global partnership. The cluster plot divided all keywords into 11 categories. Currently, Secukinumab and Guselkumab are representative biological agents being studied due to their considerable efficacy and long-term safety. Targeted therapy has emerged as a significant trend in the current treatment of psoriasis. Early and active use of biologics can effectively control disease progression, prevent or delay the occurrence of comorbidities, and may even alter the natural course of psoriasis. However, further investigation is required to fully understand the specific mechanisms of psoriasis and the use of biological agents.
DOI: 10.6084/m9.figshare.27312852
title: Biologics and oral systemic treatment preferences in patients and physicians for moderate-to-severe atopic dermatitis: a discrete choice experiment in the United Kingdom and Germany

description: <b>Background:</b> As the available treatments for moderate-to-severe atopic dermatitis (AD) expand, understanding patient and physician preferences becomes crucial for informed decision-making. <b>Objective:</b> To quantify patient and physician preferences for biologics and oral systemic AD treatment attributes. <b>Materials and methods:</b> We conducted a cross-sectional, online discrete choice experiment (DCE) involving 306 AD patients and 206 physicians throughout the United Kingdom and Germany. Qualitative interviews identified the key attributes for inclusion in the DCE. Each choice task comprised two hypothetical patient profiles. Data were analyzed using a random-parameters logit model. <b>Results:</b> Results indicated a significant emphasis on efficacy, with reducing sleep disturbance and itch ranking first and second among patients, and the reverse for physicians. Time to itch relief was the third most important efficacy attribute for both groups, but relatively more important for patients than for physicians. For both groups, the risk of eye problems was the most important safety concern of those included. Mode of administration was not of great importance compared to efficacy and safety attributes. <b>Conclusions:</b> Our findings suggest patients prioritize sleep disturbance, an attribute not captured in prior preference studies in AD, time to itch relief and itch. These findings emphasize the importance of addressing sleep-related issues, whilst also targeting fast itch control, to enhance patients’ well-being.