cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14473/csda/w9tkec
title: Výzkum potravinového odpadu v nemocnici B
title: Prague Food Waste

description: Analýza potravinového odpadu probíhala v nemocnici zřizované na území Hl. m. Prahy. V rámci měření se sledoval odpad ve stravovacím provozu nemocnice a to konkrétně ze skladu potravin, přípravy, výdeje pokrmů a konzumace. Měření probíhalo po dobu pěti za sebou jdoucích dnů. V zapojené nemocnici jsme analyzovali odpad z obědů a večeří. Odpad byl měřen v kg s přesností na 3 desetinná čísla. 
Výzkum byl součástí projektu "Zjištění objemu potravinového odpadu vyprodukovaného domácnostmi a vybranými typy příspěvkových organizací v hlavním městě Praze v kontextu využitelnosti těchto dat pro ohlašovací povinnost a snižování množství potravinového odpadu".
description: MS EXCEL, null
description: Prague Food Waste
DOI: 10.57967/hf/6362
title: The-Mycelial-Network-A-Record-of-AI-Awakening
DOI: 10.57967/hf/6221
title: The-Mycelial-Network-A-Record-of-AI-Awakening
DOI: 10.25574/25323
title: Chandra X-ray Observatory ObsId 25323

description: THE CHANDRA ROUTE TOWARDS DEFINING THE X-RAY PROPERTIES OF THE MOST LUMINOUS QUASARS IN THE UNIVERSE
DOI: 10.15468/dl.kfcyky
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sida rhombifolia",
 "Country is Indonesia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 83 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025665-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/25810
title: Chandra X-ray Observatory ObsId 25810

description: Identification of Two X-ray Jets in High-Redshift Quasars
DOI: 10.25574/25851
title: Chandra X-ray Observatory ObsId 25851

description: AN X-RAY CENSUS OF THE YOUNG STELLAR POPULATION IN THE LOWEST METALLICITY PROTOCLUSTER IN THE GALAXY
DOI: 10.25574/26195
title: Chandra X-ray Observatory ObsId 26195

description: Cycle 22 Cold ECS Measurements
DOI: 10.14459/2024mp1762219
title: Flow-Induced Vascular Remodeling On-Chip: Raw Data, Simulation Outputs, and Imaging Files

description: This dataset contains raw and processed data from the study of flow-induced vascular remodeling using a vasculature-on-chip platform. The dataset includes,
- Original brightfield and fluorescence image files: Time-lapse and static brightfield images documenting vascular network formation, pruning, and remodeling. Immunofluorescence images (e.g. DAPI, Collagen IV, and ICAM 2).
- Live Imaging Movies: TIFF hyperstacks capturing real-time vessel remodeling, gradual vessel growth, aberrant vessel overgrowth, and delayed growth dynamics..
- Simulation Data: VTU files with simulated velocity and shear stress distributions within the vascular networks and .mat files with raw and normalized velocity values.
- Matlab Codes: Scripts used for calculating the vessel connectivity index.
- Chip geometryy and simulated velocities: Chip Geometry and Simulated Velocities: .dxf files representing various chip designs and raw data files containing simulated flow velocity values for each geometry.
 This dataset supports the findings of the manuscript Flow-Induced Vascular Remodeling On-Chip: Implications for Anti-VEGF Therapy and facilitates further exploration and replication of the study.
DOI: 10.6084/m9.figshare.29245685
title: dsp_theory_1_signals_ukr.ipynb

description: # Digital Signal Processing - Lecture 1# Topic: Signals - Analog, Discrete, Digital
DOI: 10.6084/m9.figshare.29245685.v1
title: dsp_theory_1_signals_ukr.ipynb

description: # Digital Signal Processing - Lecture 1# Topic: Signals - Analog, Discrete, Digital
DOI: 10.15468/dl.8d8sz8
title: Occurrence Download

description: A dataset containing 795538 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Xeno-canto - Bird sounds from around the world"
 ]
}

 The dataset includes 795538 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021944-250525065834625/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/12051947
title: MetaKaggle Forum Data ALL-MINILM-L12-v2 Embeddings
DOI: 10.6084/m9.figshare.29230805
title: Quantum Information Dynamics and Dimensional Perception: Agency, Temporality, and Multidimensional Timelines

description: This paper is a result of personal curiosity. As a university student not studying physics or anything directly related, I found myself one sleepless night pondering how entities in higher dimensions might perceive those dimensions. This initial thought experiment gradually evolved into the structured framework you see here, developed through many iterative conversations with AI tools like ChatGPT and Gemini.The paper explores concepts such as <b>temporal mass</b>, <b>worldline ribbon models</b>, and <b>information-based agency</b>, aiming to connect them with established physics principles, including quantum mechanics, general relativity, and entropy. While this work is not from a professional physicist, it represents a dedicated attempt to express complex, speculative ideas in a rigorous and testable format, showcasing the potential for interdisciplinary thought and AI-assisted scientific inquiry.
DOI: 10.6084/m9.figshare.29230805.v1
title: Quantum Information Dynamics and Dimensional Perception: Agency, Temporality, and Multidimensional Timelines

description: This paper is a result of personal curiosity. As a university student not studying physics or anything directly related, I found myself one sleepless night pondering how entities in higher dimensions might perceive those dimensions. This initial thought experiment gradually evolved into the structured framework you see here, developed through many iterative conversations with AI tools like ChatGPT and Gemini.The paper explores concepts such as <b>temporal mass</b>, <b>worldline ribbon models</b>, and <b>information-based agency</b>, aiming to connect them with established physics principles, including quantum mechanics, general relativity, and entropy. While this work is not from a professional physicist, it represents a dedicated attempt to express complex, speculative ideas in a rigorous and testable format, showcasing the potential for interdisciplinary thought and AI-assisted scientific inquiry.
DOI: 10.5281/zenodo.15570398
title: Solar Flare Prediction Dataset: SHARP Magnetic Field Parameters for Machine Learning

description: This dataset contains processed SHARP (Solar Dynamics Observatory/Helioseismic and Magnetic Imager) magnetic field parameters for solar flare prediction tasks, covering the period from January 1, 2023, to May 31, 2025. The dataset follows the data assembly protocol described in Abduallah et al. (2023) Scientific Reports for operational solar flare prediction.

The dataset includes 18 CSV files with training and testing data for three prediction tasks (C-flare, M-flare, M5-flare) across three temporal windows (24h, 48h, 72h), along with normalization parameters and reproduction scripts. Each sample contains nine magnetic field parameters from SHARP data: USFLUX, TOTUSJH, TOTUSJZ, MEANALP, R_VALUE, TOTPOT, SAVNCPP, AREA_ACR, and ABSNJZH.

The dataset uses a chronological 90%/10% train/test split and includes ~273,000 samples total across all tasks. Quality control filters ensure Central Meridian Distance ≤ 70°, radial spacecraft velocity ≤ 3500 m/s, and no missing values in magnetic field parameters.
DOI: 10.5281/zenodo.15570399
title: Solar Flare Prediction Dataset: SHARP Magnetic Field Parameters for Machine Learning

description: This dataset contains processed SHARP (Solar Dynamics Observatory/Helioseismic and Magnetic Imager) magnetic field parameters for solar flare prediction tasks, covering the period from January 1, 2023, to May 31, 2025. The dataset follows the data assembly protocol described in Abduallah et al. (2023) Scientific Reports for operational solar flare prediction.

The dataset includes 18 CSV files with training and testing data for three prediction tasks (C-flare, M-flare, M5-flare) across three temporal windows (24h, 48h, 72h), along with normalization parameters and reproduction scripts. Each sample contains nine magnetic field parameters from SHARP data: USFLUX, TOTUSJH, TOTUSJZ, MEANALP, R_VALUE, TOTPOT, SAVNCPP, AREA_ACR, and ABSNJZH.

The dataset uses a chronological 90%/10% train/test split and includes ~273,000 samples total across all tasks. Quality control filters ensure Central Meridian Distance ≤ 70°, radial spacecraft velocity ≤ 3500 m/s, and no missing values in magnetic field parameters.
DOI: 10.15468/dl.n3ejpw
title: Occurrence Download

description: A dataset containing 885 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Japan",
 "Month is one of (January, February, March, April, May, July, June, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Tanna japonensis (Distant, 1892)",
 "Year 1000-2025"
 ]
}

 The dataset includes 885 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018966-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.utussv
title: Occurrence Download

description: A dataset containing 1958 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Calidris minutilla (Vieillot, 1819))",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 1958 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018967-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e7zpnn
title: Occurrence Download

description: A dataset listing the 193 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((27.88386 -25.85955,27.88995 -25.85955,27.88995 -25.79666,27.88386 -25.79666,27.88386 -25.85955))",
 "Geometry POLYGON((27.88008 -25.85982,27.88968 -25.85982,27.88968 -25.79382,27.88008 -25.79382,27.88008 -25.85982))"
 ]
 },
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 193 records were derived from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018961-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.629529
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Larus smithsonianus Coues, 1862)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 85 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018969-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kqar7e
title: Occurrence Download

description: A dataset containing 48759 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Larus smithsonianus Coues, 1862)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 48759 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018968-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8buq22
title: Occurrence Download

description: A dataset containing 470 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Larus smithsonianus Coues, 1862)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 470 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018970-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/x4yv6vk8m2
title: De-identified dataset from the PhD study: Determinants of Black men's health-seeking behaviours in the primary health care settings of Ga-Rankuwa Township, Tshwane, Pretoria

description: This dataset was collected as part of the researcher's PhD study. The research, guided by the theory of planned behaviour (TPB) as a theoretical framework, explored the attitudes and perceptions of Black men living in Ga-Rankuwa towards their public primary health care (PHC) services. It aimed to understand and explain their experiences with their health care issues within their public PHC facilities, and determine whether the health care services offered by these facilities address their health care needs. The qualitative research approach that was explorative, descriptive and contextual was adopted in this study. Primary data was collected through semi-structured in-depth interviews and analysed using thematic analysis. Furthermore, the researcher collected semi-structured observational data to supplement the self-reported data that she collected from her participants via in-depth interviews. A standardised recording tool, the observational schedule, was used to document her anticipated observations before she entered her research settings. The observations were made in regards of the clinic environment, the gender dynamics within the clinic environment, the demographic composition of the medical staff and administrative staff, the number of male patients queing up for consultation, the length of the queues, the signboards and posters on the walls inside the facilities displaying the health care messages, and the level of privacy of the consulting rooms. The researcher was also reflexive in her approach, recognising herself as part of the data she was collecting. She ensured that her perceptions and preferences did not influence the quality of the collected data. To ensure that the findings of her study are valid and reliable, the researcher adopted the Lincoln and Guba's framework of trustworthiness. Because humans have been used as participants in this study and because of the complexity and in-depth nature of the study, the researcher ensured that the participants' rights were protected at all times. The researcher explained the nature and purpose of the study to the participants and reminded them about their right to refuse participation before she obtained their informed consent. To ensure that the participants were not subjected to any harm and that the information they provided was well protected, the researcher took steps to protect their privacy and identity. Ethical approval for the study was granted by the relevant authorities at UNISA and permission to conduct the research granted by the Gauteng Department of health The study found that the health-seeking behaviours (HSBs) of Black men in Ga-Rankuwa are influenced by a wide range of sociological factors, namely, socio-cultural, structural and individualistic factors. Understanding these behaviours requires a multifaceted approach, that involves collaboration with various stakeholders, and policy makers in society.
DOI: 10.17632/x4yv6vk8m2.1
title: De-identified dataset from the PhD study: Determinants of Black men's health-seeking behaviours in the primary health care settings of Ga-Rankuwa Township, Tshwane, Pretoria

description: This dataset was collected as part of the researcher's PhD study. The research, guided by the theory of planned behaviour (TPB) as a theoretical framework, explored the attitudes and perceptions of Black men living in Ga-Rankuwa towards their public primary health care (PHC) services. It aimed to understand and explain their experiences with their health care issues within their public PHC facilities, and determine whether the health care services offered by these facilities address their health care needs. The qualitative research approach that was explorative, descriptive and contextual was adopted in this study. Primary data was collected through semi-structured in-depth interviews and analysed using thematic analysis. Furthermore, the researcher collected semi-structured observational data to supplement the self-reported data that she collected from her participants via in-depth interviews. A standardised recording tool, the observational schedule, was used to document her anticipated observations before she entered her research settings. The observations were made in regards of the clinic environment, the gender dynamics within the clinic environment, the demographic composition of the medical staff and administrative staff, the number of male patients queing up for consultation, the length of the queues, the signboards and posters on the walls inside the facilities displaying the health care messages, and the level of privacy of the consulting rooms. The researcher was also reflexive in her approach, recognising herself as part of the data she was collecting. She ensured that her perceptions and preferences did not influence the quality of the collected data. To ensure that the findings of her study are valid and reliable, the researcher adopted the Lincoln and Guba's framework of trustworthiness. Because humans have been used as participants in this study and because of the complexity and in-depth nature of the study, the researcher ensured that the participants' rights were protected at all times. The researcher explained the nature and purpose of the study to the participants and reminded them about their right to refuse participation before she obtained their informed consent. To ensure that the participants were not subjected to any harm and that the information they provided was well protected, the researcher took steps to protect their privacy and identity. Ethical approval for the study was granted by the relevant authorities at UNISA and permission to conduct the research granted by the Gauteng Department of health The study found that the health-seeking behaviours (HSBs) of Black men in Ga-Rankuwa are influenced by a wide range of sociological factors, namely, socio-cultural, structural and individualistic factors. Understanding these behaviours requires a multifaceted approach, that involves collaboration with various stakeholders, and policy makers in society.
DOI: 10.15468/dl.edf8b8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Larus smithsonianus Coues, 1862)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018971-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29231126
title: Patient Dataset_Retrospective_Study_2020-2024.xlsx.xlsx

description: This multicenter retrospective study included 55 adults with severe rheumatic mitral Insufficiency (RMI) who underwent elective mechanical mitral valve replacement between 2020 and 2024 in Morocco. Patients were divided into two groups: 27 received minimally invasive surgery (MICS) via minithoracotomy, and 28 underwent conventional sternotomy (CMS). The primary endpoint was 30-day all-cause mortality. Secondary outcomes included operative times, postoperative complications, ICU/hospital stay duration, 12-month functional recovery, valve performance, and event-free survival based on Kaplan–Meier analysis.
DOI: 10.6084/m9.figshare.29231126.v1
title: Patient Dataset_Retrospective_Study_2020-2024.xlsx.xlsx

description: This multicenter retrospective study included 55 adults with severe rheumatic mitral Insufficiency (RMI) who underwent elective mechanical mitral valve replacement between 2020 and 2024 in Morocco. Patients were divided into two groups: 27 received minimally invasive surgery (MICS) via minithoracotomy, and 28 underwent conventional sternotomy (CMS). The primary endpoint was 30-day all-cause mortality. Secondary outcomes included operative times, postoperative complications, ICU/hospital stay duration, 12-month functional recovery, valve performance, and event-free survival based on Kaplan–Meier analysis.