cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wb6fny
title: Occurrence Download

description: A dataset containing 1132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Francolinus pondicerianus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1132 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002410-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/whj6d7
title: Natural Resources Wales Regional Data : Mid-Wales

description: All records collated from species records mobilised from former Countryside Council for Wales regional files, held at Newtown, Abergavenny and Llandrindod Wells offices.
Contact BIS for further information or go to website www.bis.org.uk for County recorder contacts.
DOI: 10.15468/htab7e
title: Distribution of <i>Impatiens glandulifera</i> Royle along the river Irfon during June 2010

description: A Global Positioning System survey and mapping of the distribution and relative abundance of &lt;i&gt;I. glandulifera&lt;/i&gt; along the length of the river Irfon from its source to its outflow into the river Wye.
 
 This dataset was completely prepared by Jon Paul Mccalmont. If you will have any qusetions or sugestions please contact him at: jonmccalmont@btinternet.com
DOI: 10.15468/dl.hqukzq
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abarema cochleata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 190 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002414-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16730626
title: MLP neural network and dataset for the paper Neural Model of the Adaptive Tuned Particle Impact Damper

description: MLP neural network created and used in the paper. 

Dataset used for training and testing the MLP neural network.
DOI: 10.5281/zenodo.16730627
title: MLP neural network and dataset for the paper Neural Model of the Adaptive Tuned Particle Impact Damper

description: MLP neural network created and used in the paper. 

Dataset used for training and testing the MLP neural network.
DOI: 10.15468/dl.dctbav
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Delonix regia",
 "Country is Comoros",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002413-250802193616735/datasets/export for details.
DOI: 10.15468/clvy4v
title: Limited bat records from the Union & Forth and Clyde canals 2000-5

description: Records made at 22 locations on the canal network.
DOI: 10.15468/npcgrp
title: Water Beetle Surveys from Britain and Ireland

description: The dataset comprises mostly precisely-located records collected through various surveys by individuals and other organisations across Britain and Ireland of beetles associated with the freshwater habitat. These include strictly or predominantly aquatic families: Sphaeriusidae, Gyrinidae, Haliplidae, Noteridae, Paelobiidae, Dytiscidae, Helophoridae, Georissidae, Hydrochidae, Spercheidae, Hydrophilidae, Hydraenidae, Elmidae, Dryopidae, Limnichidae, Heteroceridae, Psephenidae, as well as species associated with wetlands in other families of the Coleoptera. Records have been submitted since 1979 to the Water Beetle Recording Scheme for incorporation into a single database. Earlier records compiled on card indexes by the late Frank and Jack Balfour-Browne and other workers before 1979 are also incorporated into the database. The dataset also contains a small number of fossil (post-glacial) records. Note that that NBN data-base uses about 280k records whereas at November 2007 the data-base stands at 348k records, with a massive improvement in coverage of Ireland.
DOI: 10.15468/uilybi
title: Bird records for Argyll for the years 2002 and 2003.

description: This dataset contains records of common birds for the county of Argyll for 2002 and 2003, as submitted to the Argyll Bird Recorder
.
DOI: 10.15468/dl.fd7593
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Manis tricuspis)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002415-250802193616735/datasets/export for details.
DOI: 10.15468/uyjpfm
title: SNH site condition monitoring of SSSIs for water beetles 2010

description: SNH site condition monitoring of SSSIs for water beetles 2010
DOI: 10.15468/dl.ux3mrk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Manis tricuspis)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002416-250802193616735/datasets/export for details.
DOI: 10.15468/dl.k5jf4u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Manis tricuspis)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002417-250802193616735/datasets/export for details.
DOI: 10.15468/dl.kdhrwv
title: Occurrence Download

description: A dataset containing 698 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fraseria cinerascens)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 698 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002418-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/txftfx
title: Aquatic Heteroptera Dataset

description: Records of British Water Bugs from 1863, but mainly post 1980.
DOI: 10.15468/xxphia
title: Grassland and Heathland Survey at Bardon Hill 2008/9

description: Detailed botanical surveys of specific meadows and pasture fields in order to place the grassland resource within the scheme of the National Vegetation Classification system and to evaluate its nature conservation importance.
DOI: 10.15468/6czvbo
title: Ecological surveys from Bardon Hill undertaken in the period 2000 to 2007

description: Collation of records from ecological surveys carried out on the Bardon Hill estate in Leicestershire.
DOI: 10.15468/t7t2ui
title: Wildlife Observations Bardon Hill 31.5.09

description: Collection of species records from ecological survey carried out on 31.5.09 primarily concentrating on Moths and Butterflies.
DOI: 10.15468/dl.4ah9h4
title: Occurrence Download

description: A dataset containing 1127 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anoplocapros lenticularis"
 ]
}

 The dataset includes 1127 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002419-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6jc75
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mollugo verticillata",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 31 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002420-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g3yfc7
title: Occurrence Download

description: A dataset containing 905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Theba pisana",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 905 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002421-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.47fnxb
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Imperata conferta",
 "Country is Papua New Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002423-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ajd4fn
title: Occurrence Download

description: A dataset containing 13304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fraseria caerulescens)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 13304 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002424-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bf4h4k
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eugnathichthys macroterolepis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 54 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002422-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hcwc4x
title: Occurrence Download

description: A dataset containing 273 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acacia acatlensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 273 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002426-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hzwacu
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Delonix regia",
 "Country is Costa Rica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 201 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002427-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hejtuc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Delonix regia",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002428-250802193616735/datasets/export for details.
DOI: 10.6084/m9.figshare.29815921
title: Global_Trichodesmium_nifH_nfix_CH4

description: <pre>This repository contains code and processed data for analyzing Trichodesmium-associated methane production in oceanic environments. The work demonstrates the significant role of this nitrogen-fixing cyanobacterium in marine methane emissions, particularly in tropical ocean regions.</pre>
DOI: 10.6084/m9.figshare.29815921.v1
title: Global_Trichodesmium_nifH_nfix_CH4

description: <pre>This repository contains code and processed data for analyzing Trichodesmium-associated methane production in oceanic environments. The work demonstrates the significant role of this nitrogen-fixing cyanobacterium in marine methane emissions, particularly in tropical ocean regions.</pre>
DOI: 10.5281/zenodo.16730572
title: alisam1992/Burn-Patients-Outcome-Prediction: Machine learning pipeline for multiclass burn patient prognosis using a rich hospital dataset (Shiraz Burn Registry)

description: Full Changelog: https://github.com/alisam1992/Burn-Patients-Outcome-Prediction/commits/v1.0.0
description: Burn Patient Outcome Prediction Using Machine Learning

This repository contains the dataset and Python scripts used for building interpretable machine learning models to predict outcomes in burn patients. The study is based on real clinical data collected from Shiraz Burn Hospital, affiliated with Shiraz University of Medical Sciences (SUMS).

🏥 Dataset Description

The dataset includes 2725 anonymized patient records and over 133 structured variables extracted from the hospital’s burn registry. These features span:

- Demographics: Age, Gender, Nationality, Marital Status, Education- Clinical Vitals: Blood pressure (systolic & diastolic), Pulse, Respiratory Rate, SpO₂- Burn Characteristics: Degree, Location, and Severity- Comorbidities: Asthma, Diabetes, Heart disease, etc.- Treatment Info: Medication administered, ICU admission, hospital stay duration- Outcome Labels: Final outcome, number of surgeries, ICU duration, total hospitalization

All text fields have been translated from Persian to English, and categorical variables have been numerically encoded. Missing values were imputed. All personal identifiers have been removed or anonymized.

⚖️ Legal & Ethical Compliance

The data was collected under the supervision and approval of Shiraz Burn Hospital and SUMS. Ethical clearance and consent for registry-based research were obtained. Use of this dataset in any publication or derivative work must cite the original paper and adhere to the license terms below.

🧠 Models

The following ML classifiers were applied:- Logistic Regression- Decision Tree- Random Forest- Support Vector Machine (SVM)- K-Nearest Neighbors (KNN)

Each model was evaluated for multiple target outcomes using accuracy, classification reports, confusion matrices, and ROC analysis.

📁 Contents

- `burn_data_translated.xlsx`: Cleaned and translated dataset- `model_training.py`: Python code for training and evaluation- `README.md`: This file- `LICENSE`: Data and code license

📜 License

This work is distributed under the "Creative Commons Attribution 4.0 International (CC BY 4.0)" license. This means:

- You are free to "share" and "adapt" the material.- You must give "appropriate credit" and indicate if changes were made.

📚 Citation

If you use this data or code, please cite the following:

https://doi.org/10.5281/zenodo.16730573
DOI: 10.5281/zenodo.16730573
title: alisam1992/Burn-Patients-Outcome-Prediction: Machine learning pipeline for multiclass burn patient prognosis using a rich hospital dataset (Shiraz Burn Registry)

description: Full Changelog: https://github.com/alisam1992/Burn-Patients-Outcome-Prediction/commits/v1.0.0
description: Burn Patient Outcome Prediction Using Machine Learning

This repository contains the dataset and Python scripts used for building interpretable machine learning models to predict outcomes in burn patients. The study is based on real clinical data collected from Shiraz Burn Hospital, affiliated with Shiraz University of Medical Sciences (SUMS).

🏥 Dataset Description

The dataset includes 2725 anonymized patient records and over 133 structured variables extracted from the hospital’s burn registry. These features span:

- Demographics: Age, Gender, Nationality, Marital Status, Education- Clinical Vitals: Blood pressure (systolic & diastolic), Pulse, Respiratory Rate, SpO₂- Burn Characteristics: Degree, Location, and Severity- Comorbidities: Asthma, Diabetes, Heart disease, etc.- Treatment Info: Medication administered, ICU admission, hospital stay duration- Outcome Labels: Final outcome, number of surgeries, ICU duration, total hospitalization

All text fields have been translated from Persian to English, and categorical variables have been numerically encoded. Missing values were imputed. All personal identifiers have been removed or anonymized.

⚖️ Legal & Ethical Compliance

The data was collected under the supervision and approval of Shiraz Burn Hospital and SUMS. Ethical clearance and consent for registry-based research were obtained. Use of this dataset in any publication or derivative work must cite the original paper and adhere to the license terms below.

🧠 Models

The following ML classifiers were applied:- Logistic Regression- Decision Tree- Random Forest- Support Vector Machine (SVM)- K-Nearest Neighbors (KNN)

Each model was evaluated for multiple target outcomes using accuracy, classification reports, confusion matrices, and ROC analysis.

📁 Contents

- `burn_data_translated.xlsx`: Cleaned and translated dataset- `model_training.py`: Python code for training and evaluation- `README.md`: This file- `LICENSE`: Data and code license

📜 License

This work is distributed under the "Creative Commons Attribution 4.0 International (CC BY 4.0)" license. This means:

- You are free to "share" and "adapt" the material.- You must give "appropriate credit" and indicate if changes were made.

📚 Citation

If you use this data or code, please cite the following:

https://doi.org/10.5281/zenodo.16730573
DOI: 10.15468/dl.7j7syz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Manis tricuspis)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002430-250802193616735/datasets/export for details.
DOI: 10.15468/dl.m4yzm7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Manis tricuspis)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002429-250802193616735/datasets/export for details.
DOI: 10.15468/dl.tyktej
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Manis tricuspis)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 187 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002431-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.