cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30732128
title: Bristolian Change Ringing Participant Observation 180225 Anonymised Recording Notes

description: This is a collection of notes based on a recording of the observation of a bellringing practice on 18/02/25, anonymised.
DOI: 10.6084/m9.figshare.30732128.v1
title: Bristolian Change Ringing Participant Observation 180225 Anonymised Recording Notes

description: This is a collection of notes based on a recording of the observation of a bellringing practice on 18/02/25, anonymised.
DOI: 10.15468/dl.cnwjx8
title: Occurrence Download

description: A dataset containing 4162978 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 4162978 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011665-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30732080
title: Stepwise shift in root phosphorus-acquisition strategies with nitrogen input in temperate forests

description: This dataset is derived from the research article “Stepwise shift in root phosphorus-acquisition strategies with nitrogen input in temperate forests” by Bi et al., published in the Journal of Ecology.
DOI: 10.6084/m9.figshare.30732080.v1
title: Stepwise shift in root phosphorus-acquisition strategies with nitrogen input in temperate forests

description: This dataset is derived from the research article “Stepwise shift in root phosphorus-acquisition strategies with nitrogen input in temperate forests” by Bi et al., published in the Journal of Ecology.
DOI: 10.15468/dl.5cddzq
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "Country is one of (China, Pakistan)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Capra sibirica",
 "Year 2000-2025"
 ]
}

 The dataset includes 26 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011703-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4jdtqc
title: Occurrence Download

description: A dataset containing 943 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxyuranus",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 943 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011704-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17724186
title: Imaging Submarine Fault Zones Using Reflected S-waves Extracted by Ambient Noise Interferometry from Distributed Acoustic Sensing

description: 1. Data Description

This dataset contains the processed data and/or scripts used to generate the figures in the aforementioned publication. The data is organized and named according to the figures in the paper for straightforward reference.

Publication Title: Imaging Submarine Fault Zones Using Reflected S-waves Extracted by Ambient Noise Interferometry from Distributed Acoustic SensingCorresponding Author: [Zhufeng Lu/Co-author Xiaodong Yang and Jizhong Yang]Contact Email: [ luzhufeng24@mails.ucas.ac.cn]2. Data Structure and File Naming ConventionAll data files are named using the convention Figure[Figure Number][Sub-figure Letter], which corresponds directly to the figures presented in the manuscript.

Examples:Figure2a.mat: Contains the data used to plot Figure 2a.

Important Note: Some figures may be composed of multiple sub-figures (e.g., a, b, c). The data for each panel is provided in a separate file.

3. File Format DescriptionData Files: The primary data files are in [.mat / .csv / .h5 / .txt] format.

.mat: MATLAB data file. Can be loaded in MATLAB using the load('filename.mat') command. For use in Python, you can use scipy.io.loadmat('filename.mat').

.csv: Comma-separated values. Can be opened with any text editor, spreadsheet software (Excel, Google Sheets), or imported into data analysis environments (Python/pandas, R).

.h5: Hierarchical Data Format. Suitable for large and complex datasets. Can be read using h5py in Python or specialized tools in MATLAB and other languages.

4. CodesThe repository also includes MATLAB scripts used for data processing and figure generation. These scripts are organized by data type and plotting purpose (e.g., Figure 4), allowing users to reproduce the main results of the paper.

ACFs.m is used to visualize all ambient-noise autocorrelation functions (ACFs).

NCFs.m is used to plot noise cross-correlation functions (NCFs), as shown for example in Figure 6.

VSGs.m and Dispersion_energy.m are used together to generate virtual shot gathers from the noise cross-correlations and to compute the corresponding dispersion-energy images (e.g., Figure 5).

Plt_tf.m is a general plotting routine for both time-domain and frequency-domain representations of the data and is used to produce figures such as Figure 2a, 2b, and Figure 7.
DOI: 10.5281/zenodo.16978548
title: Imaging Submarine Fault Zones Using Reflected S-waves Extracted by Ambient Noise Interferometry from Distributed Acoustic Sensing

description: 1. Data Description

This dataset contains the processed data and/or scripts used to generate the figures in the aforementioned publication. The data is organized and named according to the figures in the paper for straightforward reference.

Publication Title: Imaging Submarine Fault Zones Using Reflected S-waves Extracted by Ambient Noise Interferometry from Distributed Acoustic SensingCorresponding Author: [Zhufeng Lu/Co-author Xiaodong Yang and Jizhong Yang]Contact Email: [ luzhufeng24@mails.ucas.ac.cn]2. Data Structure and File Naming ConventionAll data files are named using the convention Figure[Figure Number][Sub-figure Letter], which corresponds directly to the figures presented in the manuscript.

Examples:Figure2a.mat: Contains the data used to plot Figure 2a.

Important Note: Some figures may be composed of multiple sub-figures (e.g., a, b, c). The data for each panel is provided in a separate file.

3. File Format DescriptionData Files: The primary data files are in [.mat / .csv / .h5 / .txt] format.

.mat: MATLAB data file. Can be loaded in MATLAB using the load('filename.mat') command. For use in Python, you can use scipy.io.loadmat('filename.mat').

.csv: Comma-separated values. Can be opened with any text editor, spreadsheet software (Excel, Google Sheets), or imported into data analysis environments (Python/pandas, R).

.h5: Hierarchical Data Format. Suitable for large and complex datasets. Can be read using h5py in Python or specialized tools in MATLAB and other languages.

4. CodesThe repository also includes MATLAB scripts used for data processing and figure generation. These scripts are organized by data type and plotting purpose (e.g., Figure 4), allowing users to reproduce the main results of the paper.

ACFs.m is used to visualize all ambient-noise autocorrelation functions (ACFs).

NCFs.m is used to plot noise cross-correlation functions (NCFs), as shown for example in Figure 6.

VSGs.m and Dispersion_energy.m are used together to generate virtual shot gathers from the noise cross-correlations and to compute the corresponding dispersion-energy images (e.g., Figure 5).

Plt_tf.m is a general plotting routine for both time-domain and frequency-domain representations of the data and is used to produce figures such as Figure 2a, 2b, and Figure 7.
DOI: 10.6084/m9.figshare.30732131
title: Bristolian Change Ringing Participant Observation 250225 Anonymised Fieldnotes

description: This is a collection of fieldnotes from the observation of a bellringing practice on 25/02/25, anonymised.
DOI: 10.6084/m9.figshare.30732131.v1
title: Bristolian Change Ringing Participant Observation 250225 Anonymised Fieldnotes

description: This is a collection of fieldnotes from the observation of a bellringing practice on 25/02/25, anonymised.
DOI: 10.5281/zenodo.17734844
title: Leptospirosis and Climate in Brazil (2008-2023)

description: DESCRIPTION:This dataset contains integrated data on confirmed human leptospirosis cases and meteorological variables for Brazilian state capitals from 2008 to 2023.

DATA SOURCES:- Epidemiological data: Notifiable Diseases Information System (SINAN), Brazilian Ministry of Health (https://datasus.saude.gov.br/acesso-a-informacao/doencas-e-agravos-de-notificacao-de-2007-em-diante-sinan/)- Meteorological data: National Institute of Meteorology (INMET) (https://portal.inmet.gov.br/dadoshistoricos)

GEOGRAPHIC COVERAGE:- Capitals of all Brazilian states, except Amapá (AP) and Roraima (RR), which were excluded due to inconsistent or missing meteorological data  during the analyzed period.

TIME PERIOD:- 2008 to 2023 (monthly data)

VARIABLES INCLUDED:

Epidemiological:- State/Capital (state abbreviation)- Year (2008-2023)- Month (January-December)- Confirmed leptospirosis cases (number of cases)

Meteorological (monthly aggregated):- Total monthly precipitation (mm)- Monthly average temperature (°C)- Average relative humidity (%)

DATA PROCESSING:Data were extracted, cleaned, standardized, and aggregated monthly using Python 3.10 in Google Colab. Transformations included:- Standardization of capital names (conversion from municipal codes to state abbreviations)- Treatment of missing or inconsistent data- Temporal aggregation of meteorological variables (monthly averages)- Temporal integration of SINAN and INMET databases

FORMAT:- CSV file with UTF-8 encoding- Delimiter: comma (,)- 4,800 rows × 7 columns

SOURCE CODE:Available soon.

CITATION:Kuhne, R. D. T., & Souza, L. G. (2025). Integrated Dataset: Leptospirosis Cases and Meteorological Variables in Brazilian Capitals (2008-2023). Zenodo. https://doi.org/10.5281/zenodo.17734844

CONTACT:For questions or suggestions about this dataset: rubiakuhne@usp.br; leticiasouza@usp.br

LICENSE:Creative Commons Attribution 4.0 International (CC BY 4.0)
DOI: 10.5281/zenodo.17734843
title: Leptospirosis and Climate in Brazil (2008-2023)

description: DESCRIPTION:This dataset contains integrated data on confirmed human leptospirosis cases and meteorological variables for Brazilian state capitals from 2008 to 2023.

DATA SOURCES:- Epidemiological data: Notifiable Diseases Information System (SINAN), Brazilian Ministry of Health (https://datasus.saude.gov.br/acesso-a-informacao/doencas-e-agravos-de-notificacao-de-2007-em-diante-sinan/)- Meteorological data: National Institute of Meteorology (INMET) (https://portal.inmet.gov.br/dadoshistoricos)

GEOGRAPHIC COVERAGE:- Capitals of all Brazilian states, except Amapá (AP) and Roraima (RR), which were excluded due to inconsistent or missing meteorological data  during the analyzed period.

TIME PERIOD:- 2008 to 2023 (monthly data)

VARIABLES INCLUDED:

Epidemiological:- State/Capital (state abbreviation)- Year (2008-2023)- Month (January-December)- Confirmed leptospirosis cases (number of cases)

Meteorological (monthly aggregated):- Total monthly precipitation (mm)- Monthly average temperature (°C)- Average relative humidity (%)

DATA PROCESSING:Data were extracted, cleaned, standardized, and aggregated monthly using Python 3.10 in Google Colab. Transformations included:- Standardization of capital names (conversion from municipal codes to state abbreviations)- Treatment of missing or inconsistent data- Temporal aggregation of meteorological variables (monthly averages)- Temporal integration of SINAN and INMET databases

FORMAT:- CSV file with UTF-8 encoding- Delimiter: comma (,)- 4,800 rows × 7 columns

SOURCE CODE:Available soon.

CITATION:Kuhne, R. D. T., & Souza, L. G. (2025). Integrated Dataset: Leptospirosis Cases and Meteorological Variables in Brazilian Capitals (2008-2023). Zenodo. https://doi.org/10.5281/zenodo.17734844

CONTACT:For questions or suggestions about this dataset: rubiakuhne@usp.br; leticiasouza@usp.br

LICENSE:Creative Commons Attribution 4.0 International (CC BY 4.0)
DOI: 10.5281/zenodo.17735558
title: A spatial transcriptomics atlas of live donors reveals unique zonation patterns in the healthy human liver - PhenoCycler Liver Panel

description: This dataset is an extension of the data presented at:

https://zenodo.org/records/17730820

and at: https://github.com/OranYak/Human-liver

We performed highly multiplexed immunofluorescence (PhenoCycler™) using a panel of 48 antibodies targeting a broad range of parenchymal and non-parenchymal cell types in 2 live-donor livers (LHDs) and 4 adjacent-normal liver samples (Supplementary Table 5 in the linked Manuscript).
DOI: 10.5281/zenodo.17730819
title: A spatial transcriptomics atlas of live donors reveals unique zonation patterns in the healthy human liver - PhenoCycler Liver Panel

description: This dataset is an extension of the data presented at:

https://zenodo.org/records/17730820

and at: https://github.com/OranYak/Human-liver

We performed highly multiplexed immunofluorescence (PhenoCycler™) using a panel of 48 antibodies targeting a broad range of parenchymal and non-parenchymal cell types in 2 live-donor livers (LHDs) and 4 adjacent-normal liver samples (Supplementary Table 5 in the linked Manuscript).
DOI: 10.15468/dl.76ty5u
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is A checklist of Indian armored spiders (Araneae, Tetrablemmidae) with the description of a new species from the Western Ghats"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011705-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16900717
title: On Exploring Ways to Enhance Participation in Software Engineering Communities – Replication Package

description: Existing quantitative studies examining how diversity affects Stack Overflow contributions have only captured statistical trends, yet fail to explain how their findings resonate to the actual users’ experience. Qualitative investigation is essential to validate these findings.

Our study synthesises existing research to yield 42 key outcomes, informing the development of 14 open-ended questions for Stack Overflow users related to participation, contribution utility, value, and quality. 209 responses were accrued that reflected how US-based users interact with the platform, where inductive thematic analysis was conducted to identify emergent themes.

This replication package is provided for those interested in further examining our research methodology.
DOI: 10.5281/zenodo.16900718
title: On Exploring Ways to Enhance Participation in Software Engineering Communities – Replication Package

description: Existing quantitative studies examining how diversity affects Stack Overflow contributions have only captured statistical trends, yet fail to explain how their findings resonate to the actual users’ experience. Qualitative investigation is essential to validate these findings.

Our study synthesises existing research to yield 42 key outcomes, informing the development of 14 open-ended questions for Stack Overflow users related to participation, contribution utility, value, and quality. 209 responses were accrued that reflected how US-based users interact with the platform, where inductive thematic analysis was conducted to identify emergent themes.

This replication package is provided for those interested in further examining our research methodology.
DOI: 10.15468/hqfd9a
title: Spider occurrences extracted from the 'Spider fauna (Aranei) of the Urals: diversity, structure, typification = Фауна пауков (Aranei) Урала: разнообразие, структура, типизация'

description: The dataset contains spider occurrences extracted from the following article/book: [Esyunin S.L. 2015. Spider fauna (Aranei) of the Urals: diversity, structure, typification = Фауна пауков (Aranei) Урала: разнообразие, структура, типизация // Кавказск. энтомол. бюл. Т.11. Вып.2. С.237–257 (рус., рез. англ.)] <b>Attention! As far as these were published in print, we strongly recommend to cite the original work along with this GBIF dataset!</b>Data were digitized within the Faunistics International project for the occurrence data extraction from the scientific literature: faunistic, taxonomical, ecological and other kinds. Full text is available here. Data are available here as well.
DOI: 10.15468/dl.9q9n97
title: Occurrence Download

description: A dataset containing 4517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "DatasetKey is The Sustainable Wetlands Adaptation and Mitigation Program (SWAMP) Vegetation Dataset"
 ]
}

 The dataset includes 4517 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011706-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ps5jj4spvz
title: Association between CKD and frailty in the FRASNET study

description: The dataset includes the row data shown in Tables 1-2 and in graph in Figure 1 of the paper: Lanzani C, Citterio L, Concas MP, Barruscotti A, Zagato L, Simonini M, Brioni E, El Boustani M, Damanti S, Rovere-Querini P, Manfredi AA, Manunta P. The association between CKD and frailty in the FRASNET study: suggestion of a novel eGFR threshold as a key determinant of frailty in the elderly. Journal of Nephrology 2025. doi: 10.1007/s40620-025-02442-y

This study deals with frailty, a geriatric syndrome marked by reduced physiological reserves, linked to organ dysfunction. However, the specific contribution of kidney function to frailty remains underexplored. The aim is to assess the impact of kidney function on frailty in a large population of older adults.
The FRASNET (Frailty and Sarcopenia Network) cohort included 1183 individuals (59.9% females, age 65–93). Among them, 27.7% of subjects were classified as robust, 37.6% were pre-frail, and 34.7% were frail. The prevalence of frailty increased with age (43% in individuals over 76 years of age) and was associated with obesity (28.3%) and polytherapy (23.2%). Whole estimated glomerular filtration rate (eGFR) was 73.8 (IQR 62.4, 84.7) ml/min/1.73 m2. The prevalence of chronic kidney disease (CKD) increased across frailty classes from 15.2% in robust to 29.0% in frail individuals (P &lt; 0.001). Among young-old subjects (65–75 years old), comorbidity was the main determinant of frailty, whereas in older subjects, when eGFR was below 53.5 ml/min/1.73 m2, it was associated with frailty (P &lt; 0.002). Fractional excretion of sodium progressively increased across frailty classes, from 0.71% in robust individuals (IQR 0.46–1.03) to 0.79% in frail subjects (IQR 0.48–1.17) (P = 0.04).
This study revealed a strong relationship between CKD and frailty, identifying a new eGFR threshold associated with frailty in older adults, thus highlighting the potential role of the often-overlooked tubular function in older individuals.
DOI: 10.17632/ps5jj4spvz.1
title: Association between CKD and frailty in the FRASNET study

description: The dataset includes the row data shown in Tables 1-2 and in graph in Figure 1 of the paper: Lanzani C, Citterio L, Concas MP, Barruscotti A, Zagato L, Simonini M, Brioni E, El Boustani M, Damanti S, Rovere-Querini P, Manfredi AA, Manunta P. The association between CKD and frailty in the FRASNET study: suggestion of a novel eGFR threshold as a key determinant of frailty in the elderly. Journal of Nephrology 2025. doi: 10.1007/s40620-025-02442-y

This study deals with frailty, a geriatric syndrome marked by reduced physiological reserves, linked to organ dysfunction. However, the specific contribution of kidney function to frailty remains underexplored. The aim is to assess the impact of kidney function on frailty in a large population of older adults.
The FRASNET (Frailty and Sarcopenia Network) cohort included 1183 individuals (59.9% females, age 65–93). Among them, 27.7% of subjects were classified as robust, 37.6% were pre-frail, and 34.7% were frail. The prevalence of frailty increased with age (43% in individuals over 76 years of age) and was associated with obesity (28.3%) and polytherapy (23.2%). Whole estimated glomerular filtration rate (eGFR) was 73.8 (IQR 62.4, 84.7) ml/min/1.73 m2. The prevalence of chronic kidney disease (CKD) increased across frailty classes from 15.2% in robust to 29.0% in frail individuals (P &lt; 0.001). Among young-old subjects (65–75 years old), comorbidity was the main determinant of frailty, whereas in older subjects, when eGFR was below 53.5 ml/min/1.73 m2, it was associated with frailty (P &lt; 0.002). Fractional excretion of sodium progressively increased across frailty classes, from 0.71% in robust individuals (IQR 0.46–1.03) to 0.79% in frail subjects (IQR 0.48–1.17) (P = 0.04).
This study revealed a strong relationship between CKD and frailty, identifying a new eGFR threshold associated with frailty in older adults, thus highlighting the potential role of the often-overlooked tubular function in older individuals.
DOI: 10.15468/dl.eqfuxt
title: Occurrence Download

description: A dataset containing 793 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbarium of the Katon–Karagai State National Nature Park"
 ]
}

 The dataset includes 793 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011708-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48cp7v
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.6_1",
 "TaxonKey is Hoplobatrachus chinensis"
 ]
}

 The dataset includes 36 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011707-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17724193
title: A spatial transcriptomics atlas of live donors reveals unique zonation patterns in the healthy human liver - Datasets

description: This dataset is an extension of the data presented at:

https://zenodo.org/records/17735506

and includes all datasets required to run the code available at: https://github.com/OranYak/Human-liver
DOI: 10.5281/zenodo.17735587
title: A spatial transcriptomics atlas of live donors reveals unique zonation patterns in the healthy human liver - Datasets

description: This dataset is an extension of the data presented at:

https://zenodo.org/records/17735506

and includes all datasets required to run the code available at: https://github.com/OranYak/Human-liver
DOI: 10.5281/zenodo.17735458
title: H209_ASCL1
DOI: 10.5281/zenodo.17735457
title: H209_ASCL1
DOI: 10.15468/dl.2zctr5
title: Occurrence Download

description: A dataset containing 978392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aegithalos caudatus",
 "Year is one of (1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 978392 records from 1490 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011633-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.