cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/v4wrskww85
title: Questioner Form of Readiness of Indonesian Rice Farmers to Adopt Internet of Things (IoT)

description: Questioner Form of Readiness of Indonesian Rice Farmers to Adopt Internet of Things (IoT)
DOI: 10.17632/v4wrskww85.1
title: Questioner Form of Readiness of Indonesian Rice Farmers to Adopt Internet of Things (IoT)

description: Questioner Form of Readiness of Indonesian Rice Farmers to Adopt Internet of Things (IoT)
DOI: 10.17632/ywf6rgpk3b
title: PEM Dataset

description: We used three data sources: 1) the eighth version of the WHO Model List of Essential Medicines (LEM) for children (WHO-LEMc); 2) the Peruvian Observatory of Pharmaceutical Products (POPP) in Lima from the “Dirección General de Medicamentos, Insumos y Drogas” (DIGEMID), the Peruvian medicines regulatory agency; and 3) the 2018 National LEM from the Peruvian Ministry of Health (MINSA).

The POPP /DIGEMID is an open-access platform that provides information on the sale prices of medicines with valid health registrations, sold in both public and private pharmacies across Peru. DIGEMID administers this tool as established by Ministerial Resolution No. 341/2011 of the Ministry of Health. Data extraction from the POPP covered the period from July to August 2021 for medicines dispensed within Metropolitan Lima. For the purpose of this research, we excluded medicines that are not typically purchased directly by patients (e.g., vaccines, diagnostic tests, antiseptic solutions for hospital use, etc.)
DOI: 10.17632/ywf6rgpk3b.1
title: PEM Dataset

description: We used three data sources: 1) the eighth version of the WHO Model List of Essential Medicines (LEM) for children (WHO-LEMc); 2) the Peruvian Observatory of Pharmaceutical Products (POPP) in Lima from the “Dirección General de Medicamentos, Insumos y Drogas” (DIGEMID), the Peruvian medicines regulatory agency; and 3) the 2018 National LEM from the Peruvian Ministry of Health (MINSA).

The POPP /DIGEMID is an open-access platform that provides information on the sale prices of medicines with valid health registrations, sold in both public and private pharmacies across Peru. DIGEMID administers this tool as established by Ministerial Resolution No. 341/2011 of the Ministry of Health. Data extraction from the POPP covered the period from July to August 2021 for medicines dispensed within Metropolitan Lima. For the purpose of this research, we excluded medicines that are not typically purchased directly by patients (e.g., vaccines, diagnostic tests, antiseptic solutions for hospital use, etc.)
DOI: 10.26188/30854639
title: Ranoqa (Ranongga, Ranonga) Island, Western Province, Solomon Islands: Settlements and Schools

description: This dataset was made foremost for images in publications and presentations where an entire island is visible. As such, coordinates have been determined with this use case in mind and may not always be accurate for higher resolutions (i.e. a line follows the rough coast, but not every grain of sand and rock).Settlements are classified as a Town, Village or Hamlet. These are relatively subjective classifications, with Towns larger than Villages which are in turn larger than a hamlet. A Hamlet will typically have a dozen buildings.Schools include Primary and High schools as well as Language schools, such as the Kolomali Luqa Language School. Features include roads, bodies of water and other places of note. Regions include named regions as well as borders. Islands are categorised separately from regions. Languages include Roviana, Simbo, Luqa, Kubokota/Ganoqa, Bilua, Mono Alu, Kusage, Nggela, Pijin, Nduke, Marovo, Arosi and Varese.Individual places are marked with a single placemark. The choice of exact location is often noted in the description (e.g. “marked based on church location”). Places ending in the word “Polygon” are approximate regions, primarily derived from 2025 satellite imagery and based on permanent structures and cleared land.Places are described using a subset of the Dublin Core vocabulary. This includes Subject, Description Publisher, Date, Source, Language and Rights. These are detailed below.Subject: Possible values of Settlement, School, or Feature. Dublin Core Type is used for more specific categories.Description: A textual description of the place.Publisher: The publisher of this dataset.Date: Specified in the format YYYY-MM-DD, YYYY-MM, or YYYY. This is the date at which this record is created/revised and/or considered to be accurate. It is NOT the date of first naming.Source: A book or other publication that is a relevant resource for this data. Source is sometimes listed as “Various” when, for example, the name of a place is widely known and there is no specific source to provide.Language: Three letter language code/s that refer to the primary language/s spoken at a location. When multiple languages are listed they are separated by a semicolon. Sometimes listed as n/a for depopulated areas.Rights: Licenses and conditions under which this data can be used (typically an Open Source license).Type: A more specific category than Subject. Possible values of Town, Hamlet, Village,Minor Island, Island, Major Island, Region, Waterways, Lagoon, Point, Road, Vernacular (Language School), Primary School, Secondary School.You can find this map on TLCMap https://tlcmap.org/multilayers/188
DOI: 10.26188/30854639.v1
title: Ranoqa (Ranongga, Ranonga) Island, Western Province, Solomon Islands: Settlements and Schools

description: This dataset was made foremost for images in publications and presentations where an entire island is visible. As such, coordinates have been determined with this use case in mind and may not always be accurate for higher resolutions (i.e. a line follows the rough coast, but not every grain of sand and rock).Settlements are classified as a Town, Village or Hamlet. These are relatively subjective classifications, with Towns larger than Villages which are in turn larger than a hamlet. A Hamlet will typically have a dozen buildings.Schools include Primary and High schools as well as Language schools, such as the Kolomali Luqa Language School. Features include roads, bodies of water and other places of note. Regions include named regions as well as borders. Islands are categorised separately from regions. Languages include Roviana, Simbo, Luqa, Kubokota/Ganoqa, Bilua, Mono Alu, Kusage, Nggela, Pijin, Nduke, Marovo, Arosi and Varese.Individual places are marked with a single placemark. The choice of exact location is often noted in the description (e.g. “marked based on church location”). Places ending in the word “Polygon” are approximate regions, primarily derived from 2025 satellite imagery and based on permanent structures and cleared land.Places are described using a subset of the Dublin Core vocabulary. This includes Subject, Description Publisher, Date, Source, Language and Rights. These are detailed below.Subject: Possible values of Settlement, School, or Feature. Dublin Core Type is used for more specific categories.Description: A textual description of the place.Publisher: The publisher of this dataset.Date: Specified in the format YYYY-MM-DD, YYYY-MM, or YYYY. This is the date at which this record is created/revised and/or considered to be accurate. It is NOT the date of first naming.Source: A book or other publication that is a relevant resource for this data. Source is sometimes listed as “Various” when, for example, the name of a place is widely known and there is no specific source to provide.Language: Three letter language code/s that refer to the primary language/s spoken at a location. When multiple languages are listed they are separated by a semicolon. Sometimes listed as n/a for depopulated areas.Rights: Licenses and conditions under which this data can be used (typically an Open Source license).Type: A more specific category than Subject. Possible values of Town, Hamlet, Village,Minor Island, Island, Major Island, Region, Waterways, Lagoon, Point, Road, Vernacular (Language School), Primary School, Secondary School.You can find this map on TLCMap https://tlcmap.org/multilayers/188
DOI: 10.17632/w48cdtd58j
title: Dataset from a Laboratory research (Physiological, Biochemical, and Transcriptomic Responses of Isochrysis galbana to Elevated Temperature and Phosphorus Limitation)

description: This is a dataset from a laboratory research, which mainly includes the physiological and biochemical data of microalgae, gene expression, growth data, fatty acid content.
DOI: 10.15468/dl.zanqmv
title: Occurrence Download

description: A dataset containing 18150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to -5.914722",
 "DecimalLatitude is less than or equal to -0.914722",
 "DecimalLongitude is greater than or equal to 110.0",
 "DecimalLongitude is less than or equal to 115.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 18150 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046076-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/w48cdtd58j.1
title: Dataset from a Laboratory research (Physiological, Biochemical, and Transcriptomic Responses of Isochrysis galbana to Elevated Temperature and Phosphorus Limitation)

description: This is a dataset from a laboratory research, which mainly includes the physiological and biochemical data of microalgae, gene expression, growth data, fatty acid content.
DOI: 10.15468/dl.tfm6vs
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gattyana ciliata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 131 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046077-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nntkdf25d5
title: Grating Interferometer Phase Ratio Method for Coefficient-of-Thermal-Expansion Measurement Without Absolute Length Determination

description: This data package contains the raw experimental data and MATLAB code used in the study "Grating Interferometer Phase Ratio Method for Coefficient-of-Thermal-Expansion Measurement Without Absolute Length Determination". The materials support the implementation of the phase ratio method for determining the coefficient of thermal expansion (CTE) without requiring absolute length measurements.
Contents:
1. Raw Interferometric Data
2. MATLAB Code
DOI: 10.17632/nntkdf25d5.1
title: Grating Interferometer Phase Ratio Method for Coefficient-of-Thermal-Expansion Measurement Without Absolute Length Determination

description: This data package contains the raw experimental data and MATLAB code used in the study "Grating Interferometer Phase Ratio Method for Coefficient-of-Thermal-Expansion Measurement Without Absolute Length Determination". The materials support the implementation of the phase ratio method for determining the coefficient of thermal expansion (CTE) without requiring absolute length measurements.
Contents:
1. Raw Interferometric Data
2. MATLAB Code
DOI: 10.17632/kn28g6dbj5.1
title: High-speed camera dataset from impact tests on reinforced concrete beams

description: Complete information on data collection and the dataset can be found in the paper:
V. Peterson. Impact-tested reinforced concrete beams with high-speed camera recordings. Submitted to Data in Brief.
DOI: 10.17632/23y4v747n6
title: Dataset of Water Chemical Parameters for Lakes on the Tibetan Plateau

description: The Tibetan Plateau lake water chemistry parameter dataset includes latitude, longitude, elevation, surface area, water temperature, pH, salinity, dissolved oxygen, total phosphorus, total nitrogen, and chlorophyll a for 98 lake samples.
DOI: 10.17632/23y4v747n6.1
title: Dataset of Water Chemical Parameters for Lakes on the Tibetan Plateau

description: The Tibetan Plateau lake water chemistry parameter dataset includes latitude, longitude, elevation, surface area, water temperature, pH, salinity, dissolved oxygen, total phosphorus, total nitrogen, and chlorophyll a for 98 lake samples.
DOI: 10.17632/r3vphczf3f
title: Phenotypic variation of common bean (Phaseolus vulgaris L.) genotypes based on qualitative and quantitative traits.

description: The original data were collected from five plants of each accession during the whole vegetation period in two years, from the field experiment and after harvesting in the lab. Each plant was observed for beginning of different phenological phase and recorded. Based on this information we will be able to select the most earliness accessions, those with medium maturation and the ones with late maturity, in case we need such plant material. Having in mind the climatic changes, like high summer temperature, low air humidity and luck of rainfall, under which Phaseolus plants are suffering during vegetation, this leads to low yield production with low quality. The collected plants were measured for already listed in the article morphological traits. Based on different statistical analyses we are able select accessions with high plant height, with high 1st pod heightq when the purpose is for mechanization for harvesting. To increase yield production we will focus on higher number of pods and weight of pods per plant, bigger number of seeds per pod. If our aim is to satisfy the farmers' preferences. We also need to focus on traits concerning the qualitative traits of seed production, namely color, size and shape. Based on the obtained results several genotypes were selected with extreme values of studied characters.
DOI: 10.17632/r3vphczf3f.1
title: Phenotypic variation of common bean (Phaseolus vulgaris L.) genotypes based on qualitative and quantitative traits.

description: The original data were collected from five plants of each accession during the whole vegetation period in two years, from the field experiment and after harvesting in the lab. Each plant was observed for beginning of different phenological phase and recorded. Based on this information we will be able to select the most earliness accessions, those with medium maturation and the ones with late maturity, in case we need such plant material. Having in mind the climatic changes, like high summer temperature, low air humidity and luck of rainfall, under which Phaseolus plants are suffering during vegetation, this leads to low yield production with low quality. The collected plants were measured for already listed in the article morphological traits. Based on different statistical analyses we are able select accessions with high plant height, with high 1st pod heightq when the purpose is for mechanization for harvesting. To increase yield production we will focus on higher number of pods and weight of pods per plant, bigger number of seeds per pod. If our aim is to satisfy the farmers' preferences. We also need to focus on traits concerning the qualitative traits of seed production, namely color, size and shape. Based on the obtained results several genotypes were selected with extreme values of studied characters.
DOI: 10.17632/hn8gj5h5wr
title: The mass spectrometry dataset of cerebral organoid exosomes

description: The culture supernatant from mature cerebral organoids, which exhibit stable neuronal phenotypes between days 60 and 140, was collected for the preparation of exosomes. Briefly, the supernatant was subjected to sequential centrifugation (300g x 10min→2000g x 10min→10,000g x 30min) to remove residual cells, cell debris and apoptotic bodies. The resulting supernatant was then filtered through a 50kD ultrafiltration tube at 5,000g for 1h to collect exosomes, followed by ultracentrifugation at 120,000g for 90min using a Beckman Optima LX-80 ultracentrifuge. The pellets were resuspended in PBS, aliquoted and stored at -80℃.The EASY-nLC™+HFX system was utilized to chromatographically separate each OExo sample, with the raw files directly imported into Proteome Discoverer 2.5 software for database querying. The database employed was Homo sapiens uniprot 2023_10_18 SwissProt.fasta. Subsequently, Proteome Discoverer 2.5 software was employed to refine the search outcomes: peptide spectrum matches (PSMs) with a confidence level exceeding 99% were identified as reliable PSMs, and proteins harboring at least one unique peptide segment (specific peptide) were recognized as reliable proteins.
DOI: 10.17632/hn8gj5h5wr.1
title: The mass spectrometry dataset of cerebral organoid exosomes

description: The culture supernatant from mature cerebral organoids, which exhibit stable neuronal phenotypes between days 60 and 140, was collected for the preparation of exosomes. Briefly, the supernatant was subjected to sequential centrifugation (300g x 10min→2000g x 10min→10,000g x 30min) to remove residual cells, cell debris and apoptotic bodies. The resulting supernatant was then filtered through a 50kD ultrafiltration tube at 5,000g for 1h to collect exosomes, followed by ultracentrifugation at 120,000g for 90min using a Beckman Optima LX-80 ultracentrifuge. The pellets were resuspended in PBS, aliquoted and stored at -80℃.The EASY-nLC™+HFX system was utilized to chromatographically separate each OExo sample, with the raw files directly imported into Proteome Discoverer 2.5 software for database querying. The database employed was Homo sapiens uniprot 2023_10_18 SwissProt.fasta. Subsequently, Proteome Discoverer 2.5 software was employed to refine the search outcomes: peptide spectrum matches (PSMs) with a confidence level exceeding 99% were identified as reliable PSMs, and proteins harboring at least one unique peptide segment (specific peptide) were recognized as reliable proteins.
DOI: 10.17632/sdy8622gw9
title: Supplemental Material of "Clinicopathological features and prognostic factors of surgically treated extramammary Paget's disease of the vulva: A retrospective cohort analysis"

description: Supplemental material of "Clinicopathological features and prognostic factors of surgically treated extramammary Paget's disease of the vulva: A retrospective cohort analysis".
DOI: 10.17632/sdy8622gw9.1
title: Supplemental Material of "Clinicopathological features and prognostic factors of surgically treated extramammary Paget's disease of the vulva: A retrospective cohort analysis"

description: Supplemental material of "Clinicopathological features and prognostic factors of surgically treated extramammary Paget's disease of the vulva: A retrospective cohort analysis".
DOI: 10.17632/t8jynwzmyn
title: EIS original data for Reviewer 3

description: This is the original data of EIS, provided in both the .par format VersatiStudio software original files and the .csv files for your convenience. The 72 hours data for A0-A4 are included in the document.
DOI: 10.17632/t8jynwzmyn.1
title: EIS original data for Reviewer 3

description: This is the original data of EIS, provided in both the .par format VersatiStudio software original files and the .csv files for your convenience. The 72 hours data for A0-A4 are included in the document.
DOI: 10.17632/hsj38fwnvr.2
title: Lower Limb and Feet Wound Image Dataset for Medical Analysis

description: This dataset consists of wound image, wound masked, image and normal (healthy) feet images collected from both male and female participants. It is intended to serve as the normal class for lower limb and foot wound image datasets. The images were collected from two sources:
(i) From the authors collections: https://ieeexplore.ieee.org/document/10030591 which includes 2686 wound raw images and 2686 masked images of 331x331 px in JPG format
(ii) Bangladesh University of Business and Technology (BUBT). The dataset includes 388 female samples and 991 male samples, each containing images of both the left and right feet in healthy condition. In total, there are 1,981 raw images for males and 776 raw images for females, all captured at a resolution of 331×331 pixel in JPG format
Total Images: 8,129 (Normal: 2575, Wound Main: 2686, Wound Masked: 2686)
DOI: 10.15468/dl.stmb3d
title: Occurrence Download

description: A dataset containing 214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Spain, Morocco)",
 "DatasetKey is one of (iNaturalist Research-grade Observations, UK Butterfly Monitoring Scheme (UKBMS), BRERC species records from all years at full resolution excluding Notable Species within the last 10 years, Bryophyte data for Great Britain and Ireland from the British Bryological Society held by BRC)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY-NC 4.0, CC-BY 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Chlamydotis undulata",
 "Year 1988-2025"
 ]
}

 The dataset includes 214 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046080-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vnkbnw8h74
title: Research on the Contagion Effect of Bank Systemic Risk Embedded with the Fintech Public Opinion Index

description: 1. Sample Selection: Sixteen systemically important banks listed on China's A-share market were selected as research subjects, covering the period from January 2011 to December 2024. Unlisted and late-listed institutions were excluded. These include state-owned banks, joint-stock banks, and city commercial banks.
2. Core Data Sources:
(1) Fintech public opinion data: Obtained from Infobank’s "China Economic News Database", news texts containing "bank name + fintech keywords + sentiment words" were crawled through Python web scraping.
(2) Bank stock return data: Retrieved from the Wind Database, with weekly logarithmic returns calculated using average closing prices.
(3) Macro - micro variables: Seven macroeconomic and four bank - specific variables were sourced from the Wind Database; quarterly characteristic variables were converted to weekly frequency via cubic spline interpolation.
(4) Fintech keyword lexicon: Independently constructed with 359 terms (three dimensions).
(5) Financial sentiment dictionary: Integrated Jiang et al. (2019) and other Chinese financial sentiment dictionaries, including 11,487 positive and 18,014 negative words.
3. Data Processing Methods:
(1) Quantification of public opinion index: The frequency of positive and negative sentiment words in news texts was counted. The daily public opinion index was calculated through indexing formulas, and weekly average smoothing was applied to alleviate data gaps and random fluctuations.
(2) Rolling window analysis: A 52 - week rolling window was adopted, combined with CoVaR at the 1% quantile and the TENET model to construct a dynamic risk spillover network.
(3) Threshold filtering: Edge connections below the median in network analysis were removed to avoid information redundancy, and the Fruchterman - Reingold algorithm was used to present node clustering characteristics.