cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16437185
title: Data for study "Factors influencing intention to use BLIK mobile payments by Polish bank customers"
title: Survey responses on the use of BLIK mobile payments

description: This file contains anonymous responses from 206 participants to a survey on the use of BLIK mobile payments in Poland. The data were collected using an online questionnaire designed to analyze factors influencing the acceptance and usage of mobile payments via the BLIK system. Each row represents a single respondent, and each column corresponds to a specific survey question or demographic variable.

Data structure:





Number of records (rows): 206 + 325




Number of variables (columns): 27




File format: Microsoft Excel (.xlsx)




Survey language: Polish



Data scope:

The dataset includes responses to questions regarding attitudes toward mobile payments, skills, ease of use, social norms, satisfaction, and behavioral intentions related to BLIK usage. It also contains basic demographic information such as gender, age, education, employment status, place of residence, the way and frequency of using BLIK, and the bank where mobile payments are conducted.

Example columns:





Do you use mobile payments via BLIK?




I believe that BLIK mobile payment is useful in everyday life.




Using BLIK mobile payment helps me perform tasks more quickly.




I have the necessary skills to use BLIK mobile payment.




Gender, Age, Education, Employment status, Current place of residence




How often do you use BLIK?




In which of the following banks do you conduct BLIK mobile payments?



Response format:

Most closed-ended questions are measured on a Likert scale (e.g., 1–7). Some questions are categorical or descriptive.

Potential uses:

The dataset can be used for research in the fields of electronic banking, fintech, consumer behavior, technology acceptance modeling, and demographic analyses of mobile payment users in Poland.

Notes:

The data are fully anonymized and do not contain any information that could identify respondents. If you use these data in publications, please cite the source appropriately.
DOI: 10.5281/zenodo.17426223
title: Data for study "Factors influencing intention to use BLIK mobile payments by Polish bank customers"
title: Survey responses on the use of BLIK mobile payments

description: This file contains anonymous responses from 206 participants to a survey on the use of BLIK mobile payments in Poland. The data were collected using an online questionnaire designed to analyze factors influencing the acceptance and usage of mobile payments via the BLIK system. Each row represents a single respondent, and each column corresponds to a specific survey question or demographic variable.

Data structure:





Number of records (rows): 206 + 325




Number of variables (columns): 27




File format: Microsoft Excel (.xlsx)




Survey language: Polish



Data scope:

The dataset includes responses to questions regarding attitudes toward mobile payments, skills, ease of use, social norms, satisfaction, and behavioral intentions related to BLIK usage. It also contains basic demographic information such as gender, age, education, employment status, place of residence, the way and frequency of using BLIK, and the bank where mobile payments are conducted.

Example columns:





Do you use mobile payments via BLIK?




I believe that BLIK mobile payment is useful in everyday life.




Using BLIK mobile payment helps me perform tasks more quickly.




I have the necessary skills to use BLIK mobile payment.




Gender, Age, Education, Employment status, Current place of residence




How often do you use BLIK?




In which of the following banks do you conduct BLIK mobile payments?



Response format:

Most closed-ended questions are measured on a Likert scale (e.g., 1–7). Some questions are categorical or descriptive.

Potential uses:

The dataset can be used for research in the fields of electronic banking, fintech, consumer behavior, technology acceptance modeling, and demographic analyses of mobile payment users in Poland.

Notes:

The data are fully anonymized and do not contain any information that could identify respondents. If you use these data in publications, please cite the source appropriately.
DOI: 10.13140/rg.2.2.15683.26401
title: Biogeographic Analysis of the Herpetofauna Separated by the Formation of the Strait of Gibraltar
DOI: 10.15468/dl.z3fjps
title: Occurrence Download

description: A dataset containing 23383 records in GBIF matching the query:
SELECT DISTINCT
 countryCode,v_country
FROM occurrence
WHERE countryCode IS NOT NULL
ORDER BY countryCode;

 The dataset's 23383 records were derived from 72340 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052696-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/26807
title: Chandra X-ray Observatory ObsId 26807

description: Chandra's Crucial Role in Identifying a Robust and Practical Accretion-Rate Indicator for Quasars
DOI: 10.20366/unimib/unidata/si384-1.0
title: Deformation and meteorological data of the Khoko landslide, Enguri, Republic of Georgia (2016-2020)
title: Dati deformativi e meteorologici della frana di Khoko, Enguri, Repubblica della Georgia (2016-2020)

description: The data have been collected in the framework of a research focused on the study of the active Khoko landslide in the Greater Caucasus, which is a mountain belt characterized by deep valleys, steep slopes and frequent seismic activity, the combination of which results in major landslide hazard. Along the eastern side of the Enguri water reservoir lies the Khoko landside, whose head scarp zone affects the important Jvari-Khaishi-Mestia road, one of the few connections with the interior of the Greater Caucasus. The monitoring system was set up in the framework of a NATO-funded project, aimed at assessing different types of geohazards affecting the Enguri artificial reservoir and the related hydroelectrical plant.<br> <br> In particular data deal with measurement time series taken over the period 2016-2020. Data include information on slope deformation, meteorological factors and man-induced perturbations of the water level variations of the reservoir. The monitoring system we used is composed of two digital extensometers, placed within two artificial trenches excavated across the landslide head scarp. The stations are equipped also with internal and external thermometers. The dataset is integrated by daily measurements of rainfall and lake level. Data indicate that the Khoko landslide displacements appear to be controlled by variations in hydraulic load, in turn induced by lake level oscillations, with a delay of months between lake infilling and extension rate increase. Rainfall and temperature variations do not affect slope deformations.<br> <br> Data are composed by four separate files, two relating to the measurements from the strain gauges (deformations and temperatures, both inside the instrument and outside at the two landslide measurement sites), one relating to the rainfall and one relating to lake level variations.<br> For further information please refer to the methodological note.<br>
description: Analysis Unit: geographic unit, object<br>Universe: No reference universe<br>Sample Procedure: No sampling data<br>Weight: No weight used<br>Collection Mode: physical measurements and tests
DOI: 10.5281/zenodo.17378682
title: Thermographic Reference Dataset: Experimentally simulated Gaussian-shaped internal defects in GFRP

description: We introduce a thermographic reference dataset consisting of 100 experimentally recorded temperature fields that replicate defect-like heat signatures in glass fiber reinforced polymer (GFRP) composites. Instead of relying on the fabrication of numerous damaged specimens, the dataset was generated by directly imprinting defect signatures onto an intact laminate using a near-infrared laser projector with spatial light modulation. The projected patterns are derived from parameterized Gaussian distributions, enabling systematic variation in defect size, shape, and orientation. The resulting steady-state thermal responses were captured with infrared thermography, providing high-resolution temperature distribution measurements for each case. This novel approach ensures that the heat transfer physics are preserved experimentally, while no special samples with different defects need to be manufactured to acquire datasets for different defect parameters. The dataset is ultimately designed as a resource for the benchmarking of thermographic non-destructive testing techniques, the validation of numerical heat transfer simulations, and the training of data-driven algorithms for defect detection in composite materials
DOI: 10.5281/zenodo.17378681
title: Thermographic Reference Dataset: Experimentally simulated Gaussian-shaped internal defects in GFRP

description: We introduce a thermographic reference dataset consisting of 100 experimentally recorded temperature fields that replicate defect-like heat signatures in glass fiber reinforced polymer (GFRP) composites. Instead of relying on the fabrication of numerous damaged specimens, the dataset was generated by directly imprinting defect signatures onto an intact laminate using a near-infrared laser projector with spatial light modulation. The projected patterns are derived from parameterized Gaussian distributions, enabling systematic variation in defect size, shape, and orientation. The resulting steady-state thermal responses were captured with infrared thermography, providing high-resolution temperature distribution measurements for each case. This novel approach ensures that the heat transfer physics are preserved experimentally, while no special samples with different defects need to be manufactured to acquire datasets for different defect parameters. The dataset is ultimately designed as a resource for the benchmarking of thermographic non-destructive testing techniques, the validation of numerical heat transfer simulations, and the training of data-driven algorithms for defect detection in composite materials
DOI: 10.15468/a57qfm
title: Bees of the family Melittidae of the Altai Krai and Altai Republic

description: This dataset was created based on the results of a study of the collection funds of the Hymenoptera from the Institute of Systematics and Ecology of Animals of Siberian Branch of Russian Academy of Sciences (Novosibirsk), Zoological Institute of Russian Academy of Sciences (St. Petersburg), Federal Scientific Center of the East Asia Terrestrial Biodiversity (Vladivostok), as well as own collections of bees. Abbreviations of the organizations in which the material is stored at the time of publication of the dataset: JD MSNR&NPS (Joint Directorate of the Mordovia State Nature Reserve and National Park "Smolny"), ZIN RAS (Zoological Institute of Russian Academy of Sciences), ISEA SB RAS (Institute of Systematics and Ecology of Animals of Siberian Branch of Russian Academy of Sciences). A total of 557 specimens of bees of the Melittidae family were identified (472 specimens from the Altai Krai and 85 specimens from the Altai Republic). The collections date back to 1898-2023 (Altai Krai 1922-2023, Altai Republic 1898-2022). All specimens were identified by Dimakova D.V. in the period 2020-2023. 11 species of Melittidae are identified for the Altai Krai, and 7 species for the Altai Republic.
DOI: 10.7910/dvn/cgq8zz
title: Global SARS-CoV-2 IFN-Antagonistic Nucleotide Mutations: ORF6, ORF8, and N Regions (9.36M Genomes)

description: This dataset provides nucleotide-level mutations in the IFN-antagonistic regions of SARS-CoV-2 proteins ORF6, ORF8, and N, extracted from 9,356,279 genomes. 

The data includes:

ORF6 (27201–27387): C-terminal tail mutations affecting STAT1/STAT2 nuclear translocation.

ORF8 (27893–28259): Ig-like domain mutations linked to MHC-I downregulation.

N (28273–29533): SR region and dimer interface mutations disrupting RIG-I/MDA5 signaling.

Files are sre compressed CSVs (.zst) for each gene, with columns: seq_id, mutations, mutation_count, impact.

Data processed and curation by: TahirHB@Hotmail.com
DOI: 10.15468/dl.gwy34h
title: Occurrence Download

description: A dataset containing 1296 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gobiodon quinquestrigatus"
 ]
}

 The dataset includes 1296 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052713-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17426211
title: Insight into the significant impact of very short-lived substances emissions from animal dung burning on stratospheric ozone depletion potential in Qinghai-Tibet Plateau over the past 20 Years
DOI: 10.5281/zenodo.17426212
title: Insight into the significant impact of very short-lived substances emissions from animal dung burning on stratospheric ozone depletion potential in Qinghai-Tibet Plateau over the past 20 Years
DOI: 10.60719/aphrc-2025-009
title: Parkinson’s Disease Diagnosis, Perceptions, Awareness, and Care in Kenya, PACKs WP1 Prevalence of PD

description: Parkinson's disease (PD) is one of the major neurodegenerative conditions in sub-Saharan Africa (SSA), particularly among aging adults. However, little is known about the epidemiology, service availability, and population-level awareness of PD due to the weak capacity of the primary health care system and PD-related poor knowledge in the SSA setting. There is an apparent lack of data on PD in SSA, including Kenya. This study aims to 1) validate tools for screening, estimate the prevalence of PD at the population level, and assess the knowledge and attitudes of influential community advisors; 2) assess the healthcare service availability and readiness to manage PD, and 3) estimate patient caseloads in neurology clinics and identify barriers and facilitators to diagnosis and referral along the care cascade. The Work package (WP) will employ a concurrent mixed-methods approach, including household surveys nested within APHRC-led Hewlettplanned national surveys among older people in Kenya (n=1500). We will conduct in-depth interviews (n=40) with community health advisors, including traditional healers, community health volunteers, and medicine sellers. WP2 will assess service availability and readiness in three tertiary hospitals, one each from Nairobi and Siaya, and a sample of primary care facilities in Kisumu (n=50) using a systems assessment tool customized for PD. WP3 will estimate patient caseloads in 3 neurology clinics of the selected tertiary hospitals in WP2 and conduct in-depth interviews with PD patient-caregiver dyads (n=45). Focus group discussions (n=3) with patient support groups and caregivers will be conducted. The findings are expected to inform and support community education programs, the development of care models, capacity-building programs for healthcare workers, and policy decisions for improving PD care in SSA.
DOI: 10.15468/dl.s29tpx
title: Occurrence Download

description: A dataset containing 4245964 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rangifer tarandus, Canis lupus, Ursus arctos, Taxidea taxus, Orycteropus afer, Panthera leo, Macaca fuscata, Papio ursinus, Ursus americanus, Diceros bicornis, Felis chaus, Acinonyx jubatus, Alces alces, Aepyceros melampus, Syncerus caffer, Loxodonta africana, Pan paniscus, Leontopithecus caissara, Panthera onca, Pongo pygmaeus, Lynx lynx, Mandrillus sphinx, Sus scrofa, Leopardus pardalis, Cuon alpinus, Panthera pardus, Nasua nasua, Vulpes vulpes, Connochaetes taurinus, Bison bison, Gorilla gorilla, Gorilla beringei, Cervus elaphus, Lynx rufus, Colobus angolensis, Canis latrans, Cervus nippon, Daubentonia madagascariensis, Bison bonasus, Papio anubis, Pongo abelii, Panthera tigris, Martes americana, Erythrocebus patas, Pan troglodytes, Crocuta crocuta, Puma concolor)",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 4245964 records from 5227 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052694-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wna642
title: Occurrence Download

description: A dataset containing 486 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Hylocereus undatus (Haw.) Britton & Rose",
 "Year 1900-2025"
 ]
}

 The dataset includes 486 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000142-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hbp3sw
title: Occurrence Download

description: A dataset containing 544 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Isolatocereus dumortieri (Scheidw.) Backeb.",
 "Year 1900-2025"
 ]
}

 The dataset includes 544 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000159-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dp9rr3
title: Occurrence Download

description: A dataset containing 744 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Lophocereus marginatus (DC.) S.Arias & Terrazas",
 "Year 1900-2025"
 ]
}

 The dataset includes 744 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000143-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sanpkk
title: Occurrence Download

description: A dataset listing the 33447 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Orchidaceae"
 ]
}

 The dataset's 33447 records were derived from 5560 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000157-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bdshyd
title: Occurrence Download

description: A dataset containing 24329 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Wild bees (Apoidea: Anthophila) of South-West France: more than 10 years of inventories in mosaic landscapes of ZA-PYGAR"
 ]
}

 The dataset includes 24329 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010950-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48505/nims.4909
title: Dataset of La(Fe,Si)13-based magnetocaloric alloys

description: The dataset of La(Fe,Si)13-based alloys was collected from the papers available in Scopus (226 articles; DOI are listed). The following information is available: nominal chemical composition of the samples, their basic processing conditions, phase content (limited), lattice constants (limited), and experimental magnetocaloric properties. Attached Python scripts are responsible for preprocessing the dataset and basic machine learning routines.
DOI: 10.15468/dl.7uxvrf
title: Occurrence Download

description: A dataset containing 3132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cenchrus caudatus (Schrad.) Kuntze"
 ]
}

 The dataset includes 3132 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010952-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8q8gr6
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Chrysanthemum cinerariifolium (Trevis.) Vis.)"
 ]
}

 The dataset includes 30 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010953-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/6111672
title: Video Metadata of Malaysian TikTok Influencers
DOI: 10.15468/dl.kck363
title: Occurrence Download

description: A dataset containing 460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carangoides equula (Temminck & Schlegel, 1844)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 460 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010954-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfzuuc
title: Occurrence Download

description: A dataset containing 69075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cenchrus americanus (L.) Morrone"
 ]
}

 The dataset includes 69075 records from 526 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010949-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-14906
title: Druzheskoe slovo = Palavra do amigo = [A friendly word], vol. 7, no. 5 (May 1934)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.5hhpcb
title: Occurrence Download

description: A dataset containing 49461 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is GBR",
 "TaxonKey is Pinus sylvestris L."
 ]
}

 The dataset includes 49461 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018972-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-15132
title: Druzheskoe slovo = Palavra do amigo = [A friendly word], vol. 8, no. 8-9 (August-September 1935)

description: [description english/roman)] Monthly
DOI: 10.15468/dl.c2ce4m
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rebentischia massalongoi (Mont.) Sacc.",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134108-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.