cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.25v9fj
title: Occurrence Download

description: A dataset containing 102 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 PRINTF('%04d-%02d-%02d', "year", "month", "day") yearmonthday,
 countrycode countrycode,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, countrycode, PRINTF('%04d-%02d-%02d', "year", "month", "day"))) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, countrycode, PRINTF('%04d-%02d-%02d', "year", "month", "day"))) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, countrycode, PRINTF('%04d-%02d-%02d', "year", "month", "day"))) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, countrycode, PRINTF('%04d-%02d-%02d', "year", "month", "day"))) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, countrycode, PRINTF('%04d-%02d-%02d', "year", "month", "day"))) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, countrycode, PRINTF('%04d-%02d-%02d', "year", "month", "day"))) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 (occurrence.taxonkey = 10430988 OR occurrence.acceptedtaxonkey = 10430988 OR occurrence.kingdomkey = 10430988 OR occurrence.phylumkey = 10430988 OR occurrence.classkey = 10430988 OR occurrence.orderkey = 10430988 OR occurrence.familykey = 10430988 OR occurrence.genuskey = 10430988 OR occurrence.specieskey = 10430988)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence."month" IS NOT NULL AND occurrence."day" IS NOT NULL AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 PRINTF('%04d-%02d-%02d', "year", "month", "day"),
 occurrence.countrycode

 The dataset's 102 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002955-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8rcrvw
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Lajitietokeskus/FinBIF - Notebook, general observations",
 "Country is Croatia"
 ]
}

 The dataset includes 53 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002954-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15479246
title: Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators - Inference Results

description: Data release for Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators.

This record contains results for all the inference analyses perfomed in the paper.

Visualizing results

The accompanying data release page includes instructions for how to read the results provided in the data release and produce the figures include in the paper.

Directory structure

The ZIP file includes results for analyses using real and simulated data and has the following file structure:

- bayesbeat_inference_results
  - real_data
    - model_1
    - model_1_constant_noise
    - model_3
  - simulated_data
    - model_1
    - model_1_constant_noise
    - model_3

Each directory is labelled with the model that was used to perform that analyses and contains result files for each format that using the following naming convention:

result_ringdown_<ID>.hdf5

where ID denotes which ringdown the result corresponds to.

File format

The included files are result files produced by the nested sampler nessai. These are saved using the HDF5 file format and can read using the h5py Python package. Each file includes various fields, including:



Posterior samples

A log evidence estimate

The total run time and number of likelihood evaluations
DOI: 10.5281/zenodo.15479247
title: Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators - Inference Results

description: Data release for Use of Bayesian Inference to Diagnose Issues in Experimental Measurements of Mechanical Disk Resonators.

This record contains results for all the inference analyses perfomed in the paper.

Visualizing results

The accompanying data release page includes instructions for how to read the results provided in the data release and produce the figures include in the paper.

Directory structure

The ZIP file includes results for analyses using real and simulated data and has the following file structure:

- bayesbeat_inference_results
  - real_data
    - model_1
    - model_1_constant_noise
    - model_3
  - simulated_data
    - model_1
    - model_1_constant_noise
    - model_3

Each directory is labelled with the model that was used to perform that analyses and contains result files for each format that using the following naming convention:

result_ringdown_<ID>.hdf5

where ID denotes which ringdown the result corresponds to.

File format

The included files are result files produced by the nested sampler nessai. These are saved using the HDF5 file format and can read using the h5py Python package. Each file includes various fields, including:



Posterior samples

A log evidence estimate

The total run time and number of likelihood evaluations
DOI: 10.15468/dl.8u39qw
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is CAS Invertebrate Zoology (IZ)",
 "Country is Croatia"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002956-250525065834625/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.28815257
title: Generalized eigenvalue problem (A,B) forms in ocean acoustics

description: Generalized eigenvalue problem (A,B) forms in ocean acoustics
DOI: 10.6084/m9.figshare.28815257.v1
title: Generalized eigenvalue problem (A,B) forms in ocean acoustics

description: Generalized eigenvalue problem (A,B) forms in ocean acoustics
DOI: 10.5281/zenodo.15098628
title: Earthquake catalogue for the Taupō Volcanic Zone, New Zealand, 2007–2024

description: These files contain information on the earthquake catalogue presented in Illsley-Kemp & Mestel (2024). This contains earthquakes which occurred in the Taupō Volcanic Zone, New Zealand, between 2007–2024. For detail on methodology please refer to the original publication. There are two types of file; an xml file for each year which is in QuakeML format, this can be read with ObsPy, there is also two csv files, one for the absolute location catalogue, and one for the relocated catalogue.

All methodological details can be found in the associate paper, which can be found here: https://seismica.library.mcgill.ca/article/view/1490

If using this dataset please cite the orginal paper:

Illsley-Kemp, F. and Mestel, E., 2025. A new consistent and high-precision earthquake catalogue for the Taupō Volcanic Zone, New Zealand. Seismica, 4(1).
DOI: 10.15468/dl.sfq3ts
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Abies guatemalensis Rehd."
 ]
}

 The dataset includes 92 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002959-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmvhcj
title: Occurrence Download

description: A dataset containing 234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.25_1",
 "TaxonKey is Canis latrans Say, 1823"
 ]
}

 The dataset includes 234 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002958-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57841/casdc.0005599
title: 高温低氧环境下海参miRNAs测序数据集
DOI: 10.5281/zenodo.15167534
title: NORMAN Suspect List Exchange Classification - Download file

description: Download file from the NORMAN Suspect List Exchange Classification on PubChem. 

https://pubchem.ncbi.nlm.nih.gov/classification/#hid=101
DOI: 10.5281/zenodo.15181277
title: NORMAN Suspect List Exchange Classification - Download File

description: Download file from the NORMAN Suspect List Exchange Classification on PubChem. 

https://pubchem.ncbi.nlm.nih.gov/classification/#hid=101
DOI: 10.5281/zenodo.15240555
title: NORMAN Suspect List Exchange Classification - Download File

description: Download file from the NORMAN Suspect List Exchange Classification on PubChem. 

https://pubchem.ncbi.nlm.nih.gov/classification/#hid=101
DOI: 10.5281/zenodo.15524803
title: NORMAN Suspect List Exchange Classification - Download File

description: Download file from the NORMAN Suspect List Exchange Classification on PubChem. 

https://pubchem.ncbi.nlm.nih.gov/classification/#hid=101
DOI: 10.5281/zenodo.14849847
title: Supporting data for "Gene-level analysis of core carbohydrate metabolism across the Enterobacteriaceae pan-genome"

description: Supporting data for "Gene-level analysis of core carbohydrate metabolism across the Enterobacteriaceae pan-genome"

[File name] - [File Description]PIRATE.table.tsv - Summary of each gene family created with PIRATE (Bayliss S. et al, 2019, 10.1093/gigascience/giz119)gffs.tar.gz - Annotated Enterobacteriaceae genomes with gene family membership according to PIRATE.table.tsv in GFF3 format.
DOI: 10.15468/dl.w2fxhj
title: Occurrence Download

description: A dataset containing 24093 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Pseudonocardia Henssen, 1957"
 ]
}

 The dataset includes 24093 records from 352 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002957-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7t4r4
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is General Herbarium – Cryptogamy & Phanerogamy (CJBG-G) of Conservatoire et Jardin botaniques de Genève",
 "Country is Croatia"
 ]
}

 The dataset includes 23 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002960-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/240b19a6-c816-414c-85e1-ca030414002e
title: Data and Code for the paper "Ergonomics and human factors: still fading—and why we need to embrace the AI revolution"

description: This research used Google's Gemini AI model (gemini-2.5-flash-preview-05-20) to evaluate the ergonomics of nine historical aircraft altimeter dial drawings. The AI rated each dial on eight ergonomic statements. These ratings were then compared to human performance data (interpretation time, error rates) from Grether (1949).
DOI: 10.4121/240b19a6-c816-414c-85e1-ca030414002e.v1
title: Data and Code for the paper "Ergonomics and human factors: still fading—and why we need to embrace the AI revolution"

description: This research used Google's Gemini AI model (gemini-2.5-flash-preview-05-20) to evaluate the ergonomics of nine historical aircraft altimeter dial drawings. The AI rated each dial on eight ergonomic statements. These ratings were then compared to human performance data (interpretation time, error rates) from Grether (1949).
DOI: 10.6084/m9.figshare.29153372
title: Supplementary Material for: The effects of different resistance training modalities on muscle strength in community-dwelling older adults: a network meta-analysis

description: Introduction: Resistance training is widely recognized as a valuable method to enhance physical function, reduce the risk of falls, and improve overall health, independence and well-being in older adults. The training can be performed through various modalities of which the comparative effects have not yet been thoroughly elucidated. This network meta-analysis (NMA) therefore aims to compare and rank different resistance training modalities regarding their effects on strength outcomes in older adults.
Methods: The studies included in this NMA were identified through a comprehensive search across three health-related and biomedical databases (PubMed, Web of Science and SPORTDiscus). We included (randomised) controlled trials that assessed the effect of resistance training modes (including: free weight training, machine-based training, body weight training, elastic band training and mixed training) in comparison to each other or to a control condition, focusing on traditional maximal strength outcomes in older individuals. 
Results: This NMA includes 102 trials involving 4754 community-dwelling seniors with a mean age of 70 ± 4 years (range 63 to 87 years of age). All of the included resistance training modalities yield moderate to large positive effects on strength when compared to a “no intervention” control condition. Machine-based training (SMD = 1.34 [95%-CI: 1.16; 1.52]) elicits the largest effects, followed by free weight (SMD = 1.15 [95%-CI: 0.28; 2.03]), elastic band (SMD = 0.93 [95%-CI: 0.49; 1.37]), mixed (SMD = 0.88 [95%-CI: 0.51; 1.25]), and bodyweight training (SMD = 0.71 [95%-CI: 0.16; 1.26]).
Conclusion: Machine-based training elicits the largest effects with the smallest variance. However, our findings demonstrate that various resistance-training modalities can have large positive effects on strength development in older adults. We suggest that, with adequately chosen load criteria such as training intensity, volume and duration of the training period, the selection of the appropriate resistance training type might depend on individual preference, enjoyability and practicability.
DOI: 10.6084/m9.figshare.29153372.v1
title: Supplementary Material for: The effects of different resistance training modalities on muscle strength in community-dwelling older adults: a network meta-analysis

description: Introduction: Resistance training is widely recognized as a valuable method to enhance physical function, reduce the risk of falls, and improve overall health, independence and well-being in older adults. The training can be performed through various modalities of which the comparative effects have not yet been thoroughly elucidated. This network meta-analysis (NMA) therefore aims to compare and rank different resistance training modalities regarding their effects on strength outcomes in older adults.
Methods: The studies included in this NMA were identified through a comprehensive search across three health-related and biomedical databases (PubMed, Web of Science and SPORTDiscus). We included (randomised) controlled trials that assessed the effect of resistance training modes (including: free weight training, machine-based training, body weight training, elastic band training and mixed training) in comparison to each other or to a control condition, focusing on traditional maximal strength outcomes in older individuals. 
Results: This NMA includes 102 trials involving 4754 community-dwelling seniors with a mean age of 70 ± 4 years (range 63 to 87 years of age). All of the included resistance training modalities yield moderate to large positive effects on strength when compared to a “no intervention” control condition. Machine-based training (SMD = 1.34 [95%-CI: 1.16; 1.52]) elicits the largest effects, followed by free weight (SMD = 1.15 [95%-CI: 0.28; 2.03]), elastic band (SMD = 0.93 [95%-CI: 0.49; 1.37]), mixed (SMD = 0.88 [95%-CI: 0.51; 1.25]), and bodyweight training (SMD = 0.71 [95%-CI: 0.16; 1.26]).
Conclusion: Machine-based training elicits the largest effects with the smallest variance. However, our findings demonstrate that various resistance-training modalities can have large positive effects on strength development in older adults. We suggest that, with adequately chosen load criteria such as training intensity, volume and duration of the training period, the selection of the appropriate resistance training type might depend on individual preference, enjoyability and practicability.
DOI: 10.6084/m9.figshare.29153375
title: Supplementary Material for: A respiratory cytology support system using a chromatin homology profile for clinical applications

description: Introduction: In a previous study, we developed a chromatin homology profile (CHP) method using the mathematical concept of homology and an analysis application, “Cell Checker”, to differentiate histological types of lung cancer in respiratory cytology. However, issues such as the analyzed field of view and data volume arose because the CHP method is based on images taken with a 100× objective lens. In this study, to overcome these challenges, we investigated the accuracy of the CHP method for differentiating histologic types of lung cancer using images obtained with a 40× objective.
Methods: In total, 35 cases of lung cancer and benign tissue were selected, and 6 cancer cells and ciliated columnar epithelial cells per case were imaged with a 40× objective using a KEYENCE microscopy system. We analyzed chromatin contact (b1MAX value) and chromatin density (b1MAX/nuclear area value) with Cell Checker. 
Results: The b1MAX value was lower in small cell carcinoma and there was a significant difference between small cell and non–small cell carcinoma. Significant differences in b1MAX/nuclear area values were found between adenocarcinoma and squamous cell carcinoma. These results were similar to those obtained with images from the 100× objective. Moreover, significant differences in b1MAX and b1MAX/nuclear area values were observed between benign and malignant cases.
Conclusion: We have overcome the problem associated with using images obtained with the 100× objective and shown that the CHP method can be used to differentiate between benign and malignant cases. The CHP method could be used as a diagnostic support system for respiratory cytology.
DOI: 10.6084/m9.figshare.29153375.v1
title: Supplementary Material for: A respiratory cytology support system using a chromatin homology profile for clinical applications

description: Introduction: In a previous study, we developed a chromatin homology profile (CHP) method using the mathematical concept of homology and an analysis application, “Cell Checker”, to differentiate histological types of lung cancer in respiratory cytology. However, issues such as the analyzed field of view and data volume arose because the CHP method is based on images taken with a 100× objective lens. In this study, to overcome these challenges, we investigated the accuracy of the CHP method for differentiating histologic types of lung cancer using images obtained with a 40× objective.
Methods: In total, 35 cases of lung cancer and benign tissue were selected, and 6 cancer cells and ciliated columnar epithelial cells per case were imaged with a 40× objective using a KEYENCE microscopy system. We analyzed chromatin contact (b1MAX value) and chromatin density (b1MAX/nuclear area value) with Cell Checker. 
Results: The b1MAX value was lower in small cell carcinoma and there was a significant difference between small cell and non–small cell carcinoma. Significant differences in b1MAX/nuclear area values were found between adenocarcinoma and squamous cell carcinoma. These results were similar to those obtained with images from the 100× objective. Moreover, significant differences in b1MAX and b1MAX/nuclear area values were observed between benign and malignant cases.
Conclusion: We have overcome the problem associated with using images obtained with the 100× objective and shown that the CHP method can be used to differentiate between benign and malignant cases. The CHP method could be used as a diagnostic support system for respiratory cytology.
DOI: 10.15468/dl.7e22z7
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbarium – De Candolle's Prodromus (CJBG-G-DC) of Conservatoire et Jardin botaniques de Genève",
 "Country is Croatia"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002963-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edzv68
title: Occurrence Download

description: A dataset containing 2101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Agave salmiana Otto ex Salm-Dyck"
 ]
}

 The dataset includes 2101 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002961-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shbdbq
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes Meigen, 1818",
 "Country is Zimbabwe"
 ]
}

 The dataset includes 16 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002962-250525065834625/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.29104631
title: Dataset for "Negative CO2 emissions to mitigate extremes in land hydrological cycle"

description: This dataset comprises the post‑processed data files and analysis scripts used in the study "Negative CO2 emissions to mitigate extremes in land hydrological cycle" by Shin et al. It includes model outputs from a nine‑member CESM2 ensemble simulation under both zero‑ and negative‑emissions scenarios. The data required to generate Supplementary Figures 6 and 9 is too large to be included here; please contact the author directly for access. The full raw dataset is available upon request due to its large size.