cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/yytwg39x3x
title: PGA_Tour 1996-2006

description: The dataset contains information about 333 golf players in the PGA Tour on the period 1996-2006. The dataset has ben used to understand how players' previous performance moderates the effect of prize on tournament self-selection. The dataset specifies which tournaments each player entered in each season as well as information on the player, player's previous performance and the tournament. In total,  the dataset encompasses 54,915 self-selection decisions for a total of 395 PGA Tour events. 
The selection criteria for tournaments and players is the following:
The PGA Tour consists of 45 to 49 tournaments, depending on the season, with usually one tournament being held per week. With few exceptions, 150 players enter each PGA Tour tournament. In contrast, there are 250 players per season who own a PGA Tour card, which gives them the right to play in its tournaments. Since there are less spots available in a tournament (150 players) than PGA Tour cards (250 players), the PGA Tour has designed, through a set of exemption rules, a priority ranking that determines who enters the tournaments. At the top of the exemption ranking are the fully exempt players, who have the right to enter any tournament of their choice.  The dataset focuses exclusively on players who have fully exempt status during a given season. In total, 333 fully exempt players for the 1996-2006 period.
In addition the dataset only has information about regular tournaments, which are tournaments owned and operated by the PGA Tour. They stand in contrast with the non-regular tournaments, which are also part of the PGA Tour schedule, but are owned by other entities other than the PGA Tour. Excluding non-regular tournaments means that the sample, composed only of regular tournaments, is rather homogeneous in terms of prestige. This allows to control for the potential effect that non-monetary incentives such as tournaments’ reputation may have on self-selection, thus reducing noise in the data. The second reason for excluding non-regular tournaments is that each of them has unique entry criteria, so that even fully exempt players are not necessarily exempt in non-regular tournaments. Moreover, the data is reduced to solely regular tournaments that have been held on the same golf course during the period under study. Accordingly, three regular tournaments with changing venues were removed. The final dataset is left with 34 to 37 tournaments per season, depending on the year.
The period of study starts in 1996, this is because it is not possible to identify the players who were fully exempt for the season prior to that.  It ends in 2006, because one year later the PGA Tour entered in a new era with the introduction of the FedEx Cup.
DOI: 10.21233/0vgj-8p24
title: Mulyoungari Crater pollen dataset

description: Raw data for the Mulyoungari Crater pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.28369352.v1
title: High-Resolution Transcriptional Impact of AIRE: Effects of Pathogenic Variants p.Arg257Ter, p.Cys311Tyr, and Polygenic Risk Variant p.Arg471Cys Supplementary File S2

description: RNAseq result tables of differential expression analysis using DESeq2 of transfected HEK293-FT cells with AIRE wt and pathogenic AIRE variants p.R257*,p.C311Y, and p.R471C. AIRE and AIRE Variants contrasted against empty vector transfected cells, and AIRE variants contrasted against AIRE wt.
DOI: 10.17632/5pv49vxsjk
title: CGR images of virus families

description: Chaos Game Representation (CGR) is a alignment free method which converts textual biosequences into graphical images, which can then be used to classify the sequence. Genome sequences can be represented as CGR images. Human pathogenic viruses are always a hot topic in the area of research. The dataset contains 1600 CGR images of 8 different human pathogenic virus families. The virus families included are Adenoviridae, Anelloviridae, Coronaviridae, Flaviviridae, Papillomaviridae, Picornaviridae, Poxviridae and Retroviridae.
The images are placed under three folders named "train", "test" and "validate". The "train" folder has 1120 images, 140 images from each class. Likewise "test" folder has 320 images, 40 images from each class. Finally the "validate" folder has 160 images, 20 images from each class.
DOI: 10.17632/vk42vz8cht
title: Supplementary Materials- A prospective cohort study examining the association of claw anatomy and sole temperature with the development of claw horn disruption lesions in dairy cattle

description: Supplementary Table S1. Case definitions and descriptions of the grading system for sole haemorrhage, sole ulcers and white line lesions. Supplementary Table S2. Descriptive Statistics of explanatory variables at each time point. Continuous variables are presented alongside the mean, standard deviation (SD), range and number of missing values (%). Categorical variables are presented alongside the frequency within each level (%). T1-Precalving, n = 1982, T2- Calving, n = 2082. Farm and Parity variables are presented at the T1-Precalving timepoint . Supplementary Table S3. Results from univariable analysis with logistic regression of T1-Precalving and T2-Calving explanatory variables with white line lesion at T3-Early as an outcome. Odds ratios are calculated, either for a single unit increase or compared to the reference level. Supplementary Table S4. Results from univariable analysis with logistic regression of T1-Precalving and T2-Calving explanatory variables with sole lesion at T3-Early as an outcome. Odds ratios are calculated, either for a single unit increase or compared to the reference level. Supplementary Table S5. Pairwise Pearson’s Correlation Coefficients (r) between explanatory variables are presented. Supplementary Table S6. The model-adjusted probabilities of sole and white line lesions at each timepoint from four multivariable fixed-effect logistic regression models (1a, 1b, 2a and 2b). The arithmetic mean of the variable (sole horn thickness or foot angle) was calculated after grouping by industry recommended levels. Supplementary Figure S1. Schematic showing the study design and variables recorded at each timepoint. Timepoints are described as days relative to the expected calving date. Supplementary Figure S2. Data handling workflow to create the final datasets used in the analysis.
DOI: 10.17632/5drdzcdvdc
title: A Zero Steady-State Oscillation MPPT Algorithm using Voltage Sensor : Required Data sheets

description: The required technical data for PV-Boost system development
DOI: 10.6084/m9.figshare.28682180.v1
title: TCMEval-CPE

description: 中国中医研究生考试数据集
DOI: 10.15468/dl.ctpbnh
title: Occurrence Download

description: A dataset containing 379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Incurvaria masculella (Denis & Schiffermüller, 1775)"
 ]
}

 The dataset includes 379 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009183-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xr9tg6j7nx
title: Dataset for Machine learning assisted prediction of defects for laser powder bed fusion of nickel-based superalloy

description: This document contains partial defect image processed by semantic segmentation model , deep learning code, binary model code, machine learning regression model code, and AM parameters with different defect datasets
DOI: 10.6084/m9.figshare.28731473.v1
title: Supplementary Material for: Endometriosis, Raynaud’s Syndrome and Migraine: A Retrospective Study of 12 Million Women

description: Objective: Our study focused on evaluating a possible relationship between endometriosis, Raynaud’s syndrome or migraine among women.
Design: This was a cross-sectional population-based study. 
Participants/Materials, Setting, Methods: We used 12,684,067 hospitalized patient records in the Healthcare Cost and Utilization Project (HCUP) database between 2007 and 2014. We calculated the prevalence of endometriosis, Raynaud’s syndrome and migraine. We also evaluated the possible role of depression, anxiety and autoimmune diseases to eliminate confounding factors. Unadjusted and adjusted multivariate logistic regression were applied to evaluate the relationship between variables.
Results: Unadjusted analysis revealed a strong association between endometriosis and Raynaud’s syndrome and migraine. (OR=2.491 95%CI 1.677-3.699). After adjusting for sociodemographic characteristics as well as depression and anxiety, the association remained significant (OR=1.779; 95%CI 1.166-2.716). Among younger patients aged 18–35 with endometriosis, the associations were stronger with Raynaud's Syndrome (adjusted OR = 1.61, 95% CI = 1.20–2.16) and migraine (adjusted OR = 2.59, 95% CI = 2.47–2.72).
Limitations: The HCUP database is cross-sectional in nature, and hence, we could not establish the temporal relationship between endometriosis, Raynaud’s syndrome and migraine. Also, the severity of endometriosis and the treatment received by the patients were not included in the dataset, and it prevented us from investigating the role of potential confounding factors.
Conclusion: Our study suggests an association between endometriosis, Raynaud’s syndrome and migraine. It is possible that these conditions share a similar mechanism possibly vascular reaction and endothelial dysfunction related to chronic inflammation.
DOI: 10.7266/n7n58jd2
title: Dataset for: “Temporal variability of in situ methane concentrations in gas hydrate-bearing sediments near Bullseye Vent, Northern Cascadia Margin”
DOI: 10.6084/m9.figshare.12173088.v1
title: Supplementary Material for: A Validation of the 2018 Revision of International Society of Nephrology/Renal Pathology Society Classification for Lupus Nephritis: A Cohort Study from China

description: <b><i>Background:</i></b> A revision of the International Society of Nephrology/Renal Pathology Society (ISN/RPS) classification for lupus nephritis has been published in 2018. The current study aimed to verify the utility of this system. <b><i>Materials and Methods:</i></b> A total of 101 lupus nephritis patients from a large Chinese cohort who underwent renal biopsy in Peking University First Hospital were reevaluated by 2 renal pathologists, who had no knowledge of the clinical findings. The association between clinical data at the time of initial renal biopsy and follow-up and pathological features were further analyzed on all patients selected. <b><i>Results:</i></b> The mean age of the cohort was 33 years with a male/female ratio of 1:9, and a median follow-up period of 128 months. The presence and extent of mesangial hypercellularity, endocapillary hypercellularity, global and segmental glomerulosclerosis, neutrophil exudation/karyorrhexis, glomerular hyaline deposits, extracapillary proliferation (crescents), tubular atrophy/interstitial fibrosis, and interstitial inflammation were significantly correlated with several clinical renal injury indices (systemic lupus erythematosus disease activity index, serum creatinine value, proteinuria, and C3 level) at the time of biopsy. By multivariable Cox hazard analysis, fibrous crescents, tubular atrophy/interstitial fibrosis, and the modified National Institutes of Health chronicity index were independent risk factors for patients’ composite renal outcomes (hazard ratio [HR] 4.100 [95% CI 1.544–10.890], <i>p</i> = 0.005; HR 8.584 [95% CI 2.509–29.367], <i>p</i> = 0.001; and HR 3.218 [95% CI 1.138–9.099], <i>p</i> = 0.028; respectively). <b><i>Conclusions:</i></b> The 2018 revision of the ISN/RPS classification for lupus nephritis has utility for prediction of clinical renal outcomes.
DOI: 10.17632/p9t8mz749v
title: The effect of relational mobility on pursuit of beauty in appearance: Evidence from Chinese and the US samples

description: Data from Study 1 were collected using an experience sampling method, where participants reported their daily beauty-related behaviors. The dataset includes several variables: relational mobility (measured using a Likert scale), beauty-related behaviors (selfie editing, makeup application, weight control), and behavioral intentions (willingness to undergo cosmetic surgery). The data were gathered from participants in both China and the US, and all data were anonymized to ensure participant privacy. The mediation analysis conducted in Study 1 confirmed that relational mobility mediates the cultural differences in beauty-seeking behaviors between the two groups.
Study 2 involved manipulating relational mobility levels (high vs. low) for both Chinese and US participants to examine the causal effect on beauty-related behaviors. The dataset from Study 2 includes experimental manipulations of relational mobility and measures of beauty-related behaviors such as clothing preferences, willingness to undergo cosmetic surgery, and photo-editing choices. Responses were collected via surveys and choice tasks, allowing for a comparison of the effect of relational mobility on beauty behaviors across cultures.
The findings from Study 2 provide evidence of a causal relationship between relational mobility and beauty-related behaviors, further supporting the hypothesis that relational mobility influences the pursuit of appearance enhancement in both cultural contexts.
DOI: 10.17632/43ssz2zzgj
title: The asscociation between HPV infection and cervical and Head & Neck Cancer, 2007-2105,Taiwan.

description: 
The data showed the association between HPV infection and cervical and head and neck cancer.
DOI: 10.17632/w585g947n2
title: The Modified Back Beliefs Questionnaire as a tool to screen for incorrect beliefs regarding back pain:  Cross-cultural adaptation and measurement properties

description: Background: The Modified Back Beliefs Questionnaire (MBBQ) evaluates and screen for incorrect beliefs about low back pain (LBP). MBBQ measurement properties remain unknown therefore, a rigorous cross-cultural validation is necessary. Objective: To translate and cross-culturally adapt the MBBQ into Brazilian Portuguese and investigate its measurement properties among physical therapists. Methods: The MBBQ was translated and cross-culturally adapted into Brazilian Portuguese and tested in 30 physical therapists. Then, we evaluated the measurement properties related to reliability and validity in a sample of 100 physical therapists. For the reliability analysis, we calculated test-retest reliability, internal consistency, standard error of the measurement (SEM) and minimal detectable change (MDC). The Pain Attitudes and Beliefs Scale for Physiotherapists (PABS.PT) was used in the construct validity analysis. 
Results: The reliability analysis showed high internal consistency, good to excellent test-retest reproducibility. The MBBQ inevitability and composite scores showed SEM of 1.9 and 2.4 points and MDC of 5.1 and 6.7 points, respectively. Construct validity analyses showed moderate to excellent correlation of the MBBQ scores and the biomedical subscale of the PABS.PT. Conclusions: MBBQ showed acceptable measurement properties and may be considered a reliable and valid tool to assess patients' beliefs about low back pain.
DOI: 10.15468/dl.ar23wq
title: Occurrence Download

description: A dataset containing 3253431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Butorides virescens",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3253431 records from 212 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029723-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14890660
title: Mahanagar Yatayat Transport Dataset
DOI: 10.15468/dl.ne4emx
title: Occurrence Download

description: A dataset containing 2078620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is France",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2023-2024"
 ]
}

 The dataset includes 2078620 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029735-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e9pbht
title: Occurrence Download

description: A dataset containing 38726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macdunnoughia confusa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 38726 records from 333 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029772-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/x2j-gvt-hly
title: Centaurea affinis subsp. affinis

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.5281/zenodo.18695434
title: Bacterial protein function prediction via multimodal deep learning - Datasets & Materials

description: This record provides the resources for “Bacterial protein function prediction via multimodal deep learning”: GO label matrices (matrix_labels.zip), precomputed inputs/embeddings (features.zip, all_proteins.pkl), protein sequences (protein_sequences.zip), protein structures (structure.zip), and cross-validation splits (splits_foldseek.zip, structure-similarity/Foldseek, per species).

Code: https://github.com/BorgwardtLab/DeepEST

Data sources:





Protein structures: AlphaFold Protein Structure Database (Varadi et al., 2021).




GO annotations / protein metadata: UniProt (The UniProt Consortium, 2022).




Gene expression: PATHOgenex RNA atlas / stress-condition expression dataset (Avican et al., 2021).



 

References:

Varadi, Mihaly, Anyango, Stephen, Deshpande, Mandar, et al. AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models. Nucleic Acids Research50(D1): D439–D444 (2022). DOI: 10.1093/nar/gkab1061.

The UniProt Consortium. UniProt: the Universal Protein Knowledgebase in 2023. Nucleic Acids Research 51(D1): D523–D531 (2023). DOI: 10.1093/nar/gkac1052.

Avican, Kemal, Aldahdooh, Jehad, Togninalli, Matteo, et al. RNA atlas of human bacterial pathogens uncovers stress dynamics linked to infection. Nature Communications 12: 3282 (2021). DOI: 10.1038/s41467-021-23588-w.
DOI: 10.5281/zenodo.18695433
title: Bacterial protein function prediction via multimodal deep learning - Datasets & Materials

description: This record provides the resources for “Bacterial protein function prediction via multimodal deep learning”: GO label matrices (matrix_labels.zip), precomputed inputs/embeddings (features.zip, all_proteins.pkl), protein sequences (protein_sequences.zip), protein structures (structure.zip), and cross-validation splits (splits_foldseek.zip, structure-similarity/Foldseek, per species).

Code: https://github.com/BorgwardtLab/DeepEST

Data sources:





Protein structures: AlphaFold Protein Structure Database (Varadi et al., 2021).




GO annotations / protein metadata: UniProt (The UniProt Consortium, 2022).




Gene expression: PATHOgenex RNA atlas / stress-condition expression dataset (Avican et al., 2021).



 

References:

Varadi, Mihaly, Anyango, Stephen, Deshpande, Mandar, et al. AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models. Nucleic Acids Research50(D1): D439–D444 (2022). DOI: 10.1093/nar/gkab1061.

The UniProt Consortium. UniProt: the Universal Protein Knowledgebase in 2023. Nucleic Acids Research 51(D1): D523–D531 (2023). DOI: 10.1093/nar/gkac1052.

Avican, Kemal, Aldahdooh, Jehad, Togninalli, Matteo, et al. RNA atlas of human bacterial pathogens uncovers stress dynamics linked to infection. Nature Communications 12: 3282 (2021). DOI: 10.1038/s41467-021-23588-w.
DOI: 10.15468/dl.dzf4b8
title: Occurrence Download

description: A dataset containing 5166248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Selasphorus sasin, Calypte anna, Saucerottia beryllina, Archilochus alexandri, Lampornis clemenciae, Cynanthus latirostris, Selasphorus platycercus, Amazilia yucatanensis, Selasphorus calliope, Calypte costae, Calothorax lucifer, Eugenes fulgens, Archilochus colubris, Selasphorus rufus, Leucolia violiceps, Basilinna leucotis)",
 "Year is one of (2022, 2023, 2024)",
 "HasCoordinate is true",
 "DatasetKey is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 5166248 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029742-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18701308
title: МОРФОЛОГИЧЕСКИЕ ОСОБЕННОСТИ СТРОЕНИЯ РОГОВИЦЫ КРОЛИКОВ

description: Знание нормального морфологического состояния органа важно для понимания сущности развития патологических процессов, постановки правильного диагноза. Для разработки эффективных методов лечения необходимо проведение различного рода экспериментальных исследований проводимы на различных животных. Следовательно, знание морфологических особенностей различных органов и систем животных является необходимым условием для правильной интерпретации полученных данных.

Исходя из выше изложенного, целью данного исследования явилось изучение морфологических особенностей глаза кролика.
DOI: 10.5281/zenodo.18701307
title: МОРФОЛОГИЧЕСКИЕ ОСОБЕННОСТИ СТРОЕНИЯ РОГОВИЦЫ КРОЛИКОВ

description: Знание нормального морфологического состояния органа важно для понимания сущности развития патологических процессов, постановки правильного диагноза. Для разработки эффективных методов лечения необходимо проведение различного рода экспериментальных исследований проводимы на различных животных. Следовательно, знание морфологических особенностей различных органов и систем животных является необходимым условием для правильной интерпретации полученных данных.

Исходя из выше изложенного, целью данного исследования явилось изучение морфологических особенностей глаза кролика.
DOI: 10.15468/dl.7jp7s3
title: Occurrence Download

description: A dataset containing 16347598 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coleoptera)",
 "TaxonomicStatus is one of (Accepted, Synonym)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is greater than 1980",
 "CoordinateUncertaintyInMeters is less than or equal to 18520"
 ]
}

 The dataset includes 16347598 records from 3819 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029750-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.