cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13130/rd_unimi/1mznns/wv0gpd
title: test150322_150_50_01_2_0_5_-10_2Outlier.tab
DOI: 10.13130/rd_unimi/1mznns/xu5hzt
title: test150322_150_50_01_2_0_5_-10_2.rds
DOI: 10.13130/rd_unimi/1mznns/x9tcmp
title: test210322_100_50_01_2_0_5_-10_3.rds
DOI: 10.13130/rd_unimi/1mznns/swj8yq
title: test210322_200_50_01_2_0_5_-10_3Val.dat
DOI: 10.13130/rd_unimi/1mznns/x2rj2m
title: test210322_100_50_01_2_0_5_-10_3Val.dat
DOI: 10.13130/rd_unimi/1mznns/8iywjg
title: test210322_200_50_01_2_0_5_-10_4.rds
DOI: 10.13130/rd_unimi/pkz7fj
title: Replication Data for Changes of RAS pathway phosphorylation in lymphoblastoid cell lines from Noonan syndrome patients carrying hypomorphic variants in two NS genes

description: This dataset include the LC-MS/MS proteomics and phosphoproteomics datasets of changed proteins generated in the study: "Changes of RAS pathway phosphorylation in lymphoblastoid cell lines from Noonan syndrome patients carrying hypomorphic variants in two NS genes" by Viviana Tritto, Daniele Capitanio, Cecilia Gelfi and Paola Riva. Data were generated by LC-ESI-MS/MS with label-free quantitation. Mass spectra were analyzed using MaxQuant software (Max-Planck-Institute of Biochemistry, Munich, Germany, version 1.6.3.3). Statistical analyses were performed using the Perseus software (Max Planck Institute of Biochemistry, Munich, Germany, version 1.4.0.6). For statistical analysis, ANOVA and Tukey post-hoc test with a p-value threshold of 0.05 was applied. To exclude the presence of false positives from the analysis, Benjamini–Hochberg false discovery rate test was applied.
description: MaxQuant (Max Planck Institute of Biochemistry, Munich, Germany), 1.6.3.3
description: Perseus (Max Planck Institute of Biochemistry, Munich, Germany), 1.4.0.6
DOI: 10.15468/dl.6eetkq
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.4688 22.79913, -109.3188 22.79913, -109.3188 22.94913, -109.4688 22.94913, -109.4688 22.79913))"
 ]
}

 The dataset includes 86 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041827-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/adujyk
title: Fish-AI_WP4_D4.4 Optimal culture media and protocols

description: This dataset collects data about the optimization of cell line isolation and the data obtained from the characterization of the cell lines derived from the Rainbow trout.
DOI: 10.15468/dl.qc4rnb
title: Occurrence Download

description: A dataset containing 72866 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "Geometry POLYGON((-2.42324 54.1708,0.02943 52.77169,1.42097 52.67628,0.94837 50.93956,-1.75593 50.88989,-1.8347 49.51193,-0.0569 49.37082,1.6425 50.09198,1.6709 50.88366,3.14983 51.24962,4.54061 52.25862,4.83049 52.86141,5.50823 53.27567,8.31081 53.50328,9.16851 53.82298,9.25018 54.3772,8.2743 58.58704,-4.56598 58.48846,-2.42324 54.1708))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lophius piscatorius",
 "Year 2000-2025"
 ]
}

 The dataset includes 72866 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041779-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/ljt2yn
title: Replication Data for In Vitro Immunoreactivity Evaluation of H-Ferritin-Based Nanodrugs

description: This dataset collects raw data of experimental results published in Sitia L. et al. Evaluation of immunoreactive profiles in H-Ferritin based nanodrugs
DOI: 10.13130/rd_unimi/obpyyq
title: Downscaled maps, one for each combination of parameters, for "Modelling the timing of migration of a partial migrant bird using ringing and observation data: a case study with the Song Thrush in Italy"

description: This dataset includes the downscaled maps (0.1° x 0.1° latitude per longitude resolution) created during the analysis procedure. One map is created for each combination of parameters used in the model
DOI: 10.25574/30057
title: Chandra X-ray Observatory ObsId 30057

description: COSMOS-WebX: Unveiling the Connection between AGN and their Host Galaxies in the last 12.5 Years
DOI: 10.15468/dl.bpw8g9
title: Occurrence Download

description: A dataset containing 894 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 6.01624810603534",
 "DecimalLongitude is less than 6.01930765921974",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 894 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041828-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/30308
title: Chandra X-ray Observatory ObsId 30308

description: The sounds of feedback: deep and wide imaging of the cool core of the Perseus cluster
DOI: 10.15468/dl.fcdhhz
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "RecordedBy is Jarle W. Bjerke, Kristian Nyvoll"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041829-251025141854904/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/13777611
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17620564
title: The Impact of Leukocyte Retention on Platelet RNA-Based Cancer Detection

description: Platelet RNA profiling has emerged as a valuable modality in liquid biopsy, providing a minimally invasive window into host responses during systemic disease processes, including cancer. However, the impact of leukocyte retention within sample preparations on platelet transcriptomic signatures remains poorly understood. This study presents the first comprehensive assessment of how leukocyte retention influences platelet RNA sequencing data and, consequently, the performance of machine learning (ML)-based cancer detection. Using the largest publicly available platelet transcriptomic dataset to date, comprising 2,351 unique human RNA samples, supported by single-cell and single-platelet RNA sequencing from 29 independent donors, we quantified leukocyte retention across matched sample groups (low- and high- leukocyte retention) using a novel 138-gene leukocyte marker panel. To assess diagnostic implications, we employed 10 different ML algorithms in a binary classification task (cancer vs. healthy), and investigated the extent to which leukocyte-associated transcriptomic signals influence performance. ML models trained on high-retention samples often achieved slightly better classification performance, suggesting that leukocyte-derived transcripts may contribute complementary diagnostic information. Importantly, post hoc bioinformatic correction using remove unwanted variation (RUV) and linear modeling proved to effectively reduce the retention. These findings highlight the importance of controlling for leukocyte retention in platelet transcriptomic studies.
DOI: 10.5281/zenodo.17620565
title: The Impact of Leukocyte Retention on Platelet RNA-Based Cancer Detection

description: Platelet RNA profiling has emerged as a valuable modality in liquid biopsy, providing a minimally invasive window into host responses during systemic disease processes, including cancer. However, the impact of leukocyte retention within sample preparations on platelet transcriptomic signatures remains poorly understood. This study presents the first comprehensive assessment of how leukocyte retention influences platelet RNA sequencing data and, consequently, the performance of machine learning (ML)-based cancer detection. Using the largest publicly available platelet transcriptomic dataset to date, comprising 2,351 unique human RNA samples, supported by single-cell and single-platelet RNA sequencing from 29 independent donors, we quantified leukocyte retention across matched sample groups (low- and high- leukocyte retention) using a novel 138-gene leukocyte marker panel. To assess diagnostic implications, we employed 10 different ML algorithms in a binary classification task (cancer vs. healthy), and investigated the extent to which leukocyte-associated transcriptomic signals influence performance. ML models trained on high-retention samples often achieved slightly better classification performance, suggesting that leukocyte-derived transcripts may contribute complementary diagnostic information. Importantly, post hoc bioinformatic correction using remove unwanted variation (RUV) and linear modeling proved to effectively reduce the retention. These findings highlight the importance of controlling for leukocyte retention in platelet transcriptomic studies.
DOI: 10.5281/zenodo.17639536
title: Modeling the Impact of Non-Ideal Mixing on Continuous Crystallization: A Non-Dimensional Approach

description: Dataset for publication Modeling the Impact of Non-Ideal Mixing on Continuous Crystallization: A Non-Dimensional Approach
DOI: 10.5281/zenodo.17639535
title: Modeling the Impact of Non-Ideal Mixing on Continuous Crystallization: A Non-Dimensional Approach

description: Dataset for publication Modeling the Impact of Non-Ideal Mixing on Continuous Crystallization: A Non-Dimensional Approach
DOI: 10.15468/dl.ugn4he
title: Occurrence Download

description: A dataset containing 285845 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "CoordinateUncertaintyInMeters 0.0-993600.0",
 "Country is Malaysia",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 2000-2025"
 ]
}

 The dataset includes 285845 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041797-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejee2w
title: Occurrence Download

description: A dataset containing 327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemizonia fasciculata",
 "HasCoordinate is true"
 ]
}

 The dataset includes 327 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041832-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wsn7db
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-109.3188 22.79913, -109.1688 22.79913, -109.1688 22.94913, -109.3188 22.94913, -109.3188 22.79913))"
 ]
}

 The dataset includes 59 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041833-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sye9wn
title: Occurrence Download

description: A dataset containing 322 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus"
 ]
}

 The dataset includes 322 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041831-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17172/nomad/2025.11.18-1
title: NOMAD dataset: Improved calculation framework for Prussian Blue analogues as a Battery Material
DOI: 10.5281/zenodo.17640219
title: Descubra 23bet16.net: Entretenimento e Oportunidades de Ganhar em um Só Lugar

description: No universo do entretenimento online, 23bet16.net se destaca como uma plataforma completa para quem busca diversão e a chance de ganhar grandes prêmios. Com uma interface amigável e segura, o site oferece uma experiência de jogo envolvente, ideal tanto para iniciantes quanto para jogadores experientes.

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DOI: 10.5281/zenodo.17640220
title: Descubra 23bet16.net: Entretenimento e Oportunidades de Ganhar em um Só Lugar

description: No universo do entretenimento online, 23bet16.net se destaca como uma plataforma completa para quem busca diversão e a chance de ganhar grandes prêmios. Com uma interface amigável e segura, o site oferece uma experiência de jogo envolvente, ideal tanto para iniciantes quanto para jogadores experientes.

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Máquinas de Slots: Centenas de slots com temas variados e jackpots progressivos.




Apostas Esportivas: Aposte nos seus esportes favoritos, desde futebol até esportes eletrônicos.




Jogos de Mesa: Blackjack, roleta, bacará e muito mais, todos com gráficos de alta qualidade.



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A segurança é uma prioridade no 23bet16.net. O site é regulamentado e segue rigorosos padrões de proteção de dados. Além disso, todos os jogos são auditados regularmente para garantir justiça e transparência. Isso significa que você pode se concentrar em se divertir e ganhar, sem preocupações.

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DOI: 10.4121/cbc2fa52-beec-4c88-aa7c-4cc5cc068aae.v1
title: Data underlying the publication: Membrane biofilm reactor (MBfR) enabling optimized H2 delivery and supporting minimal nutrient supplementation to hydrogenotrophic biofilms

description: This dataset contains data collected during experiments developing a Membrane biofilm reactor (MBfR) for optimized H2 delivery and supporting minimal nutrient supplementation to hydrogenotrophic biofilms. The objective of the research was to investigate the long-term performance of an MBfR used for hydrogenotrophic methanogenesis. The laboratory-scale MBfR was operated for 437 days, 396 of which were without additional nutrient supplementation. Numerous liquid and sludge samples were collected and analyzed over the experimental period. Reactor performance was evaluated based on the content of the product gas (CH₄), the production rate of CH₄, and the conversion efficiency of CO₂ and H₂. The concentration of nutrients in the liquid and sludge phases over the long term was assessed and related to reactor performance. This research data is being made public both to act as supplementary data for publication and in order for other researchers to use this data in their own work. This work was performed at Wetsus, European Centre of Excellence for Sustainable Water Technology.
DOI: 10.6084/m9.figshare.27037174
title: The dictionary of corporate biodiversity

description: This is the dictionary of corporate biodiversity. Based on this dictionary, we build the dataset of corporate biodiversity governance.
DOI: 10.6084/m9.figshare.27037174.v3
title: The dictionary of corporate biodiversity

description: This is the dictionary of corporate biodiversity. Based on this dictionary, we build the dataset of corporate biodiversity governance.
DOI: 10.6084/m9.figshare.27037174.v2
title: The dictionary of corporate biodiversity

description: This is the dictionary of corporate biodiversity. Based on this dictionary, we build the dataset of corporate biodiversity governance.
DOI: 10.15468/dl.ftv4j7
title: Occurrence Download

description: A dataset containing 47554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Europe, Asia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anopheles"
 ]
}

 The dataset includes 47554 records from 175 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041830-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17640251
title: Algorithm Benchmark Suite v2.0: Synthetic Dataset for Circular Bias Detection

description: Algorithm Benchmark Suite v2.0


A comprehensive benchmark dataset for evaluating circular bias detection algorithms in AI evaluation contexts.


Dataset Contents


This archive contains 10 CSV files with synthetic evaluation data across diverse scenarios:




algorithm_benchmark_suite.csv - Main benchmark (20 records, 7 fields)

scenario_*.csv (9 files) - Controlled experiments with varying:



Noise levels (0.05-0.2)

Bias intensities (0.0-0.9)

Temporal configurations (8-20 periods)

Algorithm counts (3-6 algorithms)





Data Schema


Each record includes standardized fields:



time_period: Evaluation period ID (integer)

algorithm: Algorithm identifier (string)

performance: Performance metric [0-1] (float)

constraint_compute: Computational constraint (float)

constraint_memory: Memory constraint in GB (float)

constraint_dataset_size: Training dataset size (integer)

evaluation_protocol: Protocol version (string)



Use Cases



Benchmarking bias detection algorithms

Testing evaluation methodology robustness

Research on algorithmic fairness in temporal domains

Validation of circular reasoning detection frameworks



Reproducibility


All data is fully reproducible using the included generation script:
python data/generate_benchmark_data.py --validate


Associated Software


Framework implementation: https://github.com/hongping-zh/circular-bias-detection


Documentation



Data Dictionary: Comprehensive field specifications

JSON Schema: Formal validation rules

README: Usage examples and guidelines

CHANGELOG: Version history and updates



Citation

Zhang, H. (2024). Algorithm Benchmark Suite v2.0 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17201032
description: This dataset supports research on detecting circular reasoning bias in algorithm evaluation. All data is synthetically generated with controlled bias and noise parameters for reproducible benchmarking. Complete generation code and validation schema included.
DOI: 10.5281/zenodo.17432109
title: Algorithm Benchmark Suite v2.0: Synthetic Dataset for Circular Bias Detection

description: Algorithm Benchmark Suite v2.0


A comprehensive benchmark dataset for evaluating circular bias detection algorithms in AI evaluation contexts.


Dataset Contents


This archive contains 10 CSV files with synthetic evaluation data across diverse scenarios:




algorithm_benchmark_suite.csv - Main benchmark (20 records, 7 fields)

scenario_*.csv (9 files) - Controlled experiments with varying:



Noise levels (0.05-0.2)

Bias intensities (0.0-0.9)

Temporal configurations (8-20 periods)

Algorithm counts (3-6 algorithms)





Data Schema


Each record includes standardized fields:



time_period: Evaluation period ID (integer)

algorithm: Algorithm identifier (string)

performance: Performance metric [0-1] (float)

constraint_compute: Computational constraint (float)

constraint_memory: Memory constraint in GB (float)

constraint_dataset_size: Training dataset size (integer)

evaluation_protocol: Protocol version (string)



Use Cases



Benchmarking bias detection algorithms

Testing evaluation methodology robustness

Research on algorithmic fairness in temporal domains

Validation of circular reasoning detection frameworks



Reproducibility


All data is fully reproducible using the included generation script:
python data/generate_benchmark_data.py --validate


Associated Software


Framework implementation: https://github.com/hongping-zh/circular-bias-detection


Documentation



Data Dictionary: Comprehensive field specifications

JSON Schema: Formal validation rules

README: Usage examples and guidelines

CHANGELOG: Version history and updates



Citation

Zhang, H. (2024). Algorithm Benchmark Suite v2.0 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17201032
description: This dataset supports research on detecting circular reasoning bias in algorithm evaluation. All data is synthetically generated with controlled bias and noise parameters for reproducible benchmarking. Complete generation code and validation schema included.