cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5gv68t
title: Occurrence Download

description: A dataset containing 1557 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "Geometry POLYGON((-75.15585 6.30098,-75.14258 6.27809,-75.11007 6.30739,-75.13022 6.3408,-75.15585 6.30098))"
 ]
}

 The dataset includes 1557 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014874-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hwb7nf
title: Occurrence Download

description: A dataset containing 508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Deltentosteus quadrimaculatus (Valenciennes, 1837)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 508 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014875-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kh3hbk272z.1
title: Data for: Limits of anoxic desulfurization of biogas rich in H2S through feedback control using biotrickling filters: Operational limits and multi-omics analysis

description: Data accompanying the article: "Limits of anoxic desulfurization of biogas rich in H2S through feedback control using biotrickling filters: Operational limits and multi-omics analysis."

This dataset contains experimental results and analysis used for the development of all figures in the manuscript. The included data spans:

1. Biotrickling Filter (BTF) Experiments: Detailed datasets from the operation of the BTF under various conditions.
 
2. Next-Generation Sequencing (NGS) Data: Processed sequencing data used to analyze microbial community composition and dynamics during BTF operation, contributing to the multi-omics analysis.
 
3. Proteomic Analysis: Proteomic datasets identifying key proteins in the biodesulfurization process, complementing the genomic insights.

All data is consolidated in an Excel file, organized for clarity and ease of replication of the figures and analyses presented in the study.
DOI: 10.15468/dl.vrnmfg
title: Occurrence Download

description: A dataset containing 1291 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 (Vernonia fasciculata Michx.)"
 ]
}

 The dataset includes 1291 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014876-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nkmakv
title: Occurrence Download

description: A dataset containing 3698 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myoporum insulare R.Br., Myoporum tasmanicum A.DC., Myoporum tuberculatum R.Br., Myoporum gracile Bartl., Myoporum serratum var. pubescens Benth., Myoporum apiculatum A.DC., Myoporum subserratum Nees, Myoporum serratum R.Br., Myoporum glandulosum A.DC., Myoporum serratum var. obovatum Benth., Myoporum mucronulatum A.DC., Myoporum serratum var. parviflorum Benth., Myoporum adscendens R.Br., Myoporum tetrandrum var. tuberculatum (R.Br.) Domin, Myoporum serratum var. tuberculatum (R.Br.) Benth., Myoporum serratum var. gracile (Bartl.) Benth., Myoporum serratum var. apiculatum (A.DC.) Benth., Myoporum tetrandrum var. apiculatum (DC.) Domin, Myoporum tetrandrum var. subserratum (Nees) Domin, Myoporum serratum var. subserratum (Nees) A.DC., Myoporum tetrandrum var. adscendens (R.Br.) Domin)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 3698 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014877-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ms226
title: Occurrence Download

description: A dataset containing 1684 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 (Saccharum officinarum L.)"
 ]
}

 The dataset includes 1684 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014878-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60686/t-fsd3860
title: FSD3860 Non-resident and Resident EU Citizens' Views on Non-resident Citizens' Electoral Rights Survey 2023
DOI: 10.5281/zenodo.12530583
title: Projected speaker numbers and dormancy risks of Canada's Indigenous languages

description: Data for the paper "Projected speaker numbers and dormancy risks of Canada’s Indigenous languages".

Contain speaker numbers by age and language (Indigenous mother tongue, unique responses). 

There is one file per year (2001, 2006, 2011, 2016, 2021).

Data were provided by Statistics Canada.

These include: 

- indigenousmothertongue2001.csv- indigenousmothertongue2006.csv- indigenousmothertongue2011.csv- indigenousmothertongue2016.csv- indigenousmothertongue2021.csv

Additionally, the file 'coordinates.xlsx' contains the geographic coordinates necessary for Fig. 1. Information comes from Ethnologue with modifications.

Also contains the whole code to produce the results described in the paper and a README file.
DOI: 10.5281/zenodo.14221520
title: Projected speaker numbers and dormancy risks of Canada's Indigenous languages

description: Data and code for the paper "Projected speaker numbers and dormancy risks of Canada’s Indigenous languages".

Contain speaker numbers by age and language (Indigenous mother tongue, unique responses). 

There is one file per year (2001, 2006, 2011, 2016, 2021).

Data were provided by Statistics Canada.

These include: 

- indigenousmothertongue2001.csv- indigenousmothertongue2006.csv- indigenousmothertongue2011.csv- indigenousmothertongue2016.csv- indigenousmothertongue2021.csv

Additionally, the file 'coordinates.xlsx' contains the geographic coordinates necessary for Fig. 1. Information comes from Ethnologue with modifications.

Also included is the life table information produced by World Population Prospects (WPP) 2024 available at https://population.un.org/wpp/Download/Standard/Mortality/. These are provided here for convenience as well as to prevent updates by the WPP. 

Also contains the whole code to produce the results described in the paper and a README file.
DOI: 10.15468/dl.wq6vuy
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Czechia",
 "OccurrenceStatus is Present",
 "TaxonKey is Vipera berus (Linnaeus, 1758)",
 "Year is 2023"
 ]
}

 The dataset includes 33 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014880-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hxnj46
title: Occurrence Download

description: A dataset containing 8384 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 (Rudbeckia triloba L.)"
 ]
}

 The dataset includes 8384 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014879-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vvx3p7ph59.1
title: Results of the evaluation with video games

description: These data correspond to the results obtained from the evaluations using video games, to first-level students of different careers at the Universidad Indoamérica in 4 consecutive periods
DOI: 10.17632/vvx3p7ph59.2
title: Results of the evaluation with video games

description: These data correspond to the results obtained from the evaluations using video games, to first-level students of different careers at the Universidad Indoamérica in 4 consecutive periods
DOI: 10.17632/vvx3p7ph59.3
title: Results of the evaluation with video games

description: These data correspond to the results obtained from the evaluations using video games, to first-level students of different careers at the Universidad Indoamérica in 4 consecutive periods
DOI: 10.17632/vvx3p7ph59.4
title: Results of the evaluation with video games

description: These data correspond to the results obtained from the evaluations using video games, to first-level students of different careers at the Universidad Indoamérica in 4 consecutive periods
DOI: 10.17632/vvx3p7ph59.5
title: Results of the evaluation with video games

description: These data correspond to the results obtained from the evaluations using video games, to first-level students of different careers at the Universidad Indoamérica in 4 consecutive periods
DOI: 10.15468/dl.xmee6y
title: Occurrence Download

description: A dataset containing 3620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dentex dentex (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3620 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014881-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dynb6v
title: Occurrence Download

description: A dataset containing 1896691 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-100.0",
 "Geometry POLYGON((5.4335 43.05264,17.61486 43.67523,17.64966 48.64265,16.66846 48.77645,4.24189 48.4126,5.4335 43.05264))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Aves, Squamata, Testudines, Amphibia, Mammalia)"
 ]
}

 The dataset includes 1896691 records from 618 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014866-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.46z649
title: Occurrence Download

description: A dataset containing 1311 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 (Rudbeckia subtomentosa Pursh)"
 ]
}

 The dataset includes 1311 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014883-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8d9kn57pdj.1
title: X-ray Bone Fracture Dataset: Comprehensive Imaging for Fracture Classification and Medical Research

description: Title: X-ray Bone Fracture Dataset: Comprehensive Imaging for Fracture Classification and Medical Research

Description:
This dataset has been meticulously curated to advance research in bone fracture detection and classification, focusing on Simple and Comminuted Fractures. It includes high-quality, clinically relevant X-ray images, alongside an extensive set of augmented images, providing diverse imaging conditions to aid machine learning models in medical imaging applications. The dataset is particularly suitable for tasks like image classification, segmentation, and fracture pattern recognition, making it an invaluable resource for the medical imaging and healthcare research communities.

Dataset Overview:

Fracture Categories:

Simple Fracture:
Exclusively sourced from hospital records.
Original Images: 1,211.
Augmented Images: 6,311.
Total Images: 7,522.

Comminuted Fracture:
Sourced from both hospital records and web-based images (approximately one-tenth from online sources).
Original Images: 1,173.
Augmented Images: 7,366.
Total Images: 8,539.

Key Features:

Number of Original Images: 2,384.
Number of Augmented Images: 13,677.
Total Dataset Size: 16,061 images (Original + Augmented).
File Formats: JPG, PNG.

Augmentation Techniques:
Zoom: Randomized scaling for varied focus.
Rotation: ±30° rotations to simulate diverse imaging angles.
Brightness and Contrast Adjustments: Range between 80%–120%.
Flips: Vertical and horizontal flips for spatial diversity.

Applications:
Medical Imaging:
Train and evaluate machine learning models for fracture classification, detection, and segmentation.
Healthcare Technology:
Support development of diagnostic tools and real-time fracture detection systems in clinical and mobile applications.
Medical Research:
Enhance understanding of fracture patterns, contributing to advancements in diagnostic and therapeutic techniques.

Dataset Collection:
Simple Fracture Images:
Exclusively sourced from hospitals, ensuring high clinical accuracy and relevance.
Comminuted Fracture Images:
A blend of hospital and web sources, providing diverse imaging conditions and perspectives.
Realistic Scenarios:
Simulates real-world clinical settings with varied lighting, orientations, and imaging environments, offering robust data for training and testing.
DOI: 10.15468/dl.xzzvg4
title: Occurrence Download

description: A dataset containing 6213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Observation.org, Nature data from around the World, iNaturalist Research-grade Observations, Biodiversity data of gravel pit lakes in Northern Germany, EOD – eBird Observation Dataset, Birda - Global Observation Dataset, Xeno-canto - Bird sounds from around the world, Life MICA Biodiversity Surveys, ArtenFinder)",
 "GadmGid is DEU.9_1",
 "TaxonKey is Alopochen aegyptiaca (Linnaeus, 1766)",
 "Year 2019-2024"
 ]
}

 The dataset includes 6213 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014884-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/47yjx5z4cp.1
title: R code and Phylogenetic Tree

description: R code and Phylogenetic Tree for G3 manuscript
DOI: 10.15468/dl.t36wem
title: Occurrence Download

description: A dataset containing 16774 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myriophyllum aquaticum (Vell.) Verdc., Myriophyllum brasiliense Cambess., Myriophyllum mattogrossense Hoehne, Myriophyllum proserpinacoides Gillies ex Hook. & Arn., Myriophyllum proserpinacoides Gillies, Enydria aquatica Vell.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 16774 records from 441 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014882-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111109175
title: Receipt for animals, UT 1599-3

description: [Text Description:] Receipt for animals, given to the shepherd for herding. ❧ [Text or Publication Number Note:] UT 1599-3 ❧ [Excavation Description:] Tello ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Small rectangular clay tablet, orange-reddish color. LABEL: "1599" in black ink, later "3" in red ink elsewhere. 3.5 x 4cm. ❧ [Physical Object Note:] Reign of Shulgi, second dynastic king.
DOI: 10.15468/dl.2dusr9
title: Occurrence Download

description: A dataset listing the 21692 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Cameroon",
 "HasCoordinate is true",
 "Year is less than 2022",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 21692 records were derived from 392 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142438-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25375/uct.25975825
title: Association analysis of high-high cluster road intersection crashes involving motorcycles that resulted in injuries within the CoCT in 2017, 2018 and 2019

description: This dataset provides comprehensive information on road intersection crashes involving motorcycles (Motor tricycle, Motorcycle: under 125cc, Motorcycle: Above 125cc, Quadru-cycle) that have resulted in injuries recognised as "high-high" clusters within the City of Cape Town. It includes detailed records of all intersection crashes and their corresponding crash attribute combinations, which were prevalent in 33% of the total "high-high" cluster motorcycle road intersection crashes resulting in injuries for the years 2017, 2018 and 2019. The dataset is meticulously organised according to confidence metric values presented in descending order.Data SpecificsData Type: Geospatial-temporal categorical dataFile Format: Excel document (.xlsx)Size: 29,8 KBNumber of Files: The dataset contains a total of 576 association rulesDate Created: 23rd May 2024MethodologyData Collection Method: The descriptive road traffic crash data per crash victim involved in the crashes was obtained from the City of Cape Town Network InformationSoftware: ArcGIS Pro, PythonProcessing Steps: Following the spatio-temporal analyses and the derivation of "high-high" cluster fishnet grid cells from a cluster and outlier analysis, all the road intersection crashes involving a motorcycle resulting in injuries that occurred within the "high-high" cluster fishnet grid cells were extracted to be processed by association analysis. The association analysis of these crashes was processed using Python software and involved the use of a 0,30 support metric value. Consequently, commonly occurring crash attributes among at least 33% of the "high-high" cluster road intersection motorcycle crashes resulting in injuries were extracted for inclusion in this dataset.Geospatial InformationSpatial Coverage:West Bounding Coordinate: 18°20'EEast Bounding Coordinate: 19°05'ENorth Bounding Coordinate: 33°25'SSouth Bounding Coordinate: 34°25'SCoordinate System: South African Reference System (Lo19) using the Universal Transverse Mercator projectionTemporal InformationTemporal Coverage:Start Date: 01/01/2017End Date: 31/12/2019
DOI: 10.25549/inscriptifact-ouc111109133
title: Receipt for animals, UT 1599-3

description: [Text Description:] Receipt for animals, given to the shepherd for herding. ❧ [Text or Publication Number Note:] UT 1599-3 ❧ [Excavation Description:] Tello ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Small rectangular clay tablet, orange-reddish color. LABEL: "1599" in black ink, later "3" in red ink elsewhere. 3.5 x 4cm. ❧ [Physical Object Note:] Reign of Shulgi, second dynastic king.
DOI: 10.25375/uct.25975825.v1
title: Association analysis of high-high cluster road intersection crashes involving motorcycles that resulted in injuries within the CoCT in 2017, 2018, 2019 and 2021

description: This dataset provides comprehensive information on road intersection crashes involving motorcycles (Motor tricycle, Motorcycle: under 125cc, Motorcycle: Above 125cc, Quadru-cycle) that have resulted in injuries recognised as "high-high" clusters within the City of Cape Town. It includes detailed records of all intersection crashes and their corresponding crash attribute combinations, which were prevalent in 33% of the total "high-high" cluster motorcycle road intersection crashes resulting in injuries for the years 2017, 2018, 2019, and 2021. Data SpecificsData Type: Geospatial-temporal categorical dataFile Format: Excel document (.xlsx)Size: 37,4 KBNumber of Files: The dataset contains a total of 576 association rulesDate Created: 23rd May 2024MethodologyData Collection Method: The descriptive road traffic crash data per crash victim involved in the crashes was obtained from the City of Cape Town Network InformationSoftware: ArcGIS Pro, PythonProcessing Steps: Following the spatio-temporal analyses and the derivation of "high-high" cluster fishnet grid cells from a cluster and outlier analysis, all the road intersection crashes involving a motorcycle resulting in injuries that occurred within the "high-high" cluster fishnet grid cells were extracted to be processed by association analysis. The association analysis of the "high-high" cluster road intersection motorcycle crashes was processed using Python software and involved the use of a 0,30 support metric value. Consequently, commonly occurring crash attributes among at least 33% of the "high-high" cluster road intersection motorcycle crashes resulting in injuries were extracted for inclusion in this dataset.Geospatial InformationSpatial Coverage:West Bounding Coordinate: 18°20'EEast Bounding Coordinate: 19°05'ENorth Bounding Coordinate: 33°25'SSouth Bounding Coordinate: 34°25'SCoordinate System: South African Reference System (Lo19) using the Universal Transverse Mercator projectionTemporal InformationTemporal Coverage:Start Date: 01/01/2017End Date: 31/12/2021 (2020 data omitted)