cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48323/gsncx-zp059
title: NMR data - Methylation of Cytidine 1407 Increases the Lifetimes of the A-Site Ground and Excited States of E. coli 16S Ribosomal RNA

description: NMR data of publication:

Methylation of Cytidine 1407 Increases the Lifetimes of the A-Site Ground and Excited States of E. coli 16S Ribosomal RNA

Stefan Hilber, Alessandro Marotto, Christoph Mitteregger, Martin Tollinger, and Christoph Kreutz

Journal of the American Chemical Society 2025 147 (30), 26097-26101

DOI: 10.1021/jacs.5c06523
DOI: 10.48323/kvmcf-dzy93
title: NMR data - Methylation of Cytidine 1407 Increases the Lifetimes of the A-Site Ground and Excited States of E. coli 16S Ribosomal RNA

description: NMR data of publication:

Methylation of Cytidine 1407 Increases the Lifetimes of the A-Site Ground and Excited States of E. coli 16S Ribosomal RNA

Stefan Hilber, Alessandro Marotto, Christoph Mitteregger, Martin Tollinger, and Christoph Kreutz

Journal of the American Chemical Society 2025 147 (30), 26097-26101

DOI: 10.1021/jacs.5c06523
DOI: 10.15468/dl.5t8szd
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asterothamnus poliifolius",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025086-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15856584
title: Metadata_Gelatinous_Zooplankton_DNAbarcoding_Traboni_et_al

description: Dataset relative to the study of gelatinous zooplankton in the Gulf of Naples (Traboni et al.). The information compiled in the dataset refer to the specimens processed for DNA extraction, amplification and sequencing of the 18S rDNA region, and tested under different preservation treatments.
DOI: 10.5281/zenodo.16760243
title: GeoFireGuard
title: Servizio open data di monitoraggio e protezione delle aree a rischio incendio

description: (IT) Dall'esigenza di fornire dati sempre più aggiornati sui rischi naturali e antropici a causa dalla crisi climatica, nasce GeoFireGuard, il servizio open data di monitoraggio e protezione delle aree a rischio incendio attraverso l'utilizzo di dati geospaziali messi a disposizione dalle costellazioni Sentinel del programma Copernicus dell'Unione Europea/ESA; HS2 ed ERA5, Landsat, EMIT, GIBS, Aqua e Terra, TRMM, e GPM, IMERG, servizio FIRMS della NASA/USGS degli USA. Area di interesse: Vulture Alto-Bradano (Basilicata - Italia).

(EN) Born out of the need to provide increasingly up-to-date data on natural and human-induced risks driven by the climate crisis, GeoFireGuard is an open data service for monitoring and protecting areas at risk of wildfires. It leverages geospatial data made available by the Sentinel constellations of the European Union/ESA Copernicus programme; HS2 and ERA5, Landsat, EMIT, GIBS, Aqua and Terra, TRMM, and GPM, IMERG, and the FIRMS service by NASA/USGS (USA). Area of interest: Vulture Alto-Bradano (Basilicata - Italy).
DOI: 10.15468/dl.d4gabw
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 (Chlamydosaurus kingii)",
 "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/0025087-250802193616735/datasets/export for details.
DOI: 10.15468/dl.6abj23
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 (Chlamydosaurus kingii)",
 "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/0025089-250802193616735/datasets/export for details.
DOI: 10.15468/dl.832uk4
title: Occurrence Download

description: A dataset containing 1 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 (Chlamydosaurus kingii)",
 "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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025088-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3r8e76
title: Occurrence Download

description: A dataset containing 130095 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Rorippa amphibia"
 ]
}

 The dataset includes 130095 records from 831 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025021-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ryaf26
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carinotetraodon irrubesco)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025090-250802193616735/datasets/export for details.
DOI: 10.5281/zenodo.16760348
title: Life Cycle Assessment Dataset For Haemodialysis in Warsaw

description: The dataset provides a detailed breakdown of the processes and procedures involved in haemodialysis (HD) or haemodiafiltration (HDF) care, focusing on the operational pathways, roles, and activities required to deliver treatment effectively. It documents:





Vascular Access Procedures: Data on patient assessments for vascular access (arteriovenous fistulas or central venous catheters), the surgical creation of access points, and ongoing monitoring of these accesses.




Dialysis Machine Preparation and Patient Connection: Information on the preparation of HD machines by nurses, the connection and disconnection of patients, and the operational setup for each session.




Routine and Emergency Monitoring: Insights into routine nephrologist visits during dialysis, monthly patient evaluations, and emergency examinations for complications like blood flow or infection issues.




Water and Dialysate Management: Records on the preparation, monitoring, and quality control of dialysis water and dialysate solutions.




Operational Tasks: Documentation of non-clinical work, such as machine and room turnover, and administrative responsibilities managed by nurses outside regular shifts.



This dataset captures the full workflow of HD care, emphasizing the procedural steps, resource allocation, and clinical oversight needed to ensure safe and effective treatment. It serves as a foundational resource for analyzing the environmental, resource, and operational impacts of haemodialysis care.
DOI: 10.5281/zenodo.16760349
title: Life Cycle Assessment Dataset For Haemodialysis in Warsaw

description: The dataset provides a detailed breakdown of the processes and procedures involved in haemodialysis (HD) or haemodiafiltration (HDF) care, focusing on the operational pathways, roles, and activities required to deliver treatment effectively. It documents:





Vascular Access Procedures: Data on patient assessments for vascular access (arteriovenous fistulas or central venous catheters), the surgical creation of access points, and ongoing monitoring of these accesses.




Dialysis Machine Preparation and Patient Connection: Information on the preparation of HD machines by nurses, the connection and disconnection of patients, and the operational setup for each session.




Routine and Emergency Monitoring: Insights into routine nephrologist visits during dialysis, monthly patient evaluations, and emergency examinations for complications like blood flow or infection issues.




Water and Dialysate Management: Records on the preparation, monitoring, and quality control of dialysis water and dialysate solutions.




Operational Tasks: Documentation of non-clinical work, such as machine and room turnover, and administrative responsibilities managed by nurses outside regular shifts.



This dataset captures the full workflow of HD care, emphasizing the procedural steps, resource allocation, and clinical oversight needed to ensure safe and effective treatment. It serves as a foundational resource for analyzing the environmental, resource, and operational impacts of haemodialysis care.
DOI: 10.15468/dl.6yczsj
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atraphaxis decipiens",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 66 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025091-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmvset
title: Occurrence Download

description: A dataset containing 2 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 (Chlamydosaurus kingii)",
 "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 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025092-250802193616735/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.29850641
title: Machine Learning Models

description: Here, we provide the source codes for our machine learning models and pretrained models used in the study titled "Global blue carbon losses from salt marshes exceed restoration gains." Each script is accompanied by a corresponding README file, and a sample test dataset is also included for reference.The pretrained models were used to evaluate the performance of multiple machine learning algorithms (including Random Forest, Decision Tree, and Support Vector Machine) on predicting soil organic carbon (SOC) density. This comparison helped us identify Random Forest as the most suitable algorithm, which was then used in the final SOC prediction model.
DOI: 10.6084/m9.figshare.29850641.v1
title: Machine Learning Models

description: Here, we provide the source codes for our machine learning models and pretrained models used in the study titled "Global blue carbon losses from salt marshes exceed restoration gains." Each script is accompanied by a corresponding README file, and a sample test dataset is also included for reference.The pretrained models were used to evaluate the performance of multiple machine learning algorithms (including Random Forest, Decision Tree, and Support Vector Machine) on predicting soil organic carbon (SOC) density. This comparison helped us identify Random Forest as the most suitable algorithm, which was then used in the final SOC prediction model.
DOI: 10.15468/dl.kukgjv
title: Occurrence Download

description: A dataset containing 2531 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 (Chlamydosaurus kingii)",
 "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 2531 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025094-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.apl.29591411
title: Supplemental Material

description: Supplemental Material
DOI: 10.60893/figshare.apl.29591411.v1
title: Supplemental Material

description: Supplemental Material
DOI: 10.15468/dl.5uet8t
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 (Chlamydosaurus kingii)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025093-250802193616735/datasets/export for details.
DOI: 10.15468/dl.n7zuw6
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Palaeobiology - Vertebrate Fossils Collection - Mammalia - Royal Ontario Museum",
 "TaxonKey is Oxyaenidae"
 ]
}

 The dataset includes 43 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025095-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cn8zkk
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Paulasquama callis)",
 "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 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025096-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.btzp8t
title: Occurrence Download

description: A dataset containing 803 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atraphaxis frutescens",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 803 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025098-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqefr7
title: Occurrence Download

description: A dataset containing 13222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Aubrieta deltoidea"
 ]
}

 The dataset includes 13222 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025097-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16760384
title: Concentrations of Heavy Metals in Soil near Mining Tailings Dump in Graçanica, Kosovo

description: # Dataset Title: Concentrations of Heavy Metals in Soil near Mining Tailings Dump in Graçanica, Kosovo

## Authors:- Dr. rer. nat. Flurije Sheremeti Kabashi- MSc. Argjend Hajra

## Description:This dataset contains measurements of heavy metal concentrations in surface soil samples collected from the area near a mining tailings dump in Graçanica, Kosovo. The purpose of this dataset is to assess the potential contamination and spatial distribution of various heavy metals in the affected region.

## Number of Samples:6 surface soil samples (labeled S1 to S6)

## Location:Mining Tailings Dump, Graçanica, Kosovo  Coordinates are given in the **KosovaRef** coordinate reference system.

## Parameters Measured:Each soil sample includes the following measured parameters (in mg/kg unless otherwise stated):- Mn - Manganese- Pb - Lead- As - Arsenic- Cd - Cadmium- Cr - Chromium- Cu - Copper- Fe - Iron- V - Vanadium- Zn - Zinc- Sb - Antimony- Ti - Titanium- pH - Soil pH (unitless)

## Data Format:The dataset is provided in Excel (.xlsx) format. Each row represents one soil sample and includes sample ID, coordinates (x, y), and concentrations of each element.

## License:Creative Commons Attribution 4.0 International (CC BY 4.0)

## Suggested Citation:Sheremeti Kabashi, F., & Hajra, A. (2025). *Concentrations of Heavy Metals in Soil near Mining Tailings Dump in Graçanica, Kosovo* [Data set]. Zenodo. https://doi.org/xxxxx  (Note: Replace the DOI after uploading to Zenodo)

## Funding:This research was funded by the Ministry of Education, Science, Technology, and Innovation of the Republic of Kosovo and the Austrian Development Agency, grant number: 2/2477-1, 26.11.2024.

## Contact:For further information or questions regarding the dataset, please contact:- Dr. Flurije Sheremeti Kabashi (flurije.sheremeti@umib.net)- MSc. Argjend Hajra (argjendhajra94@gmail.com)
DOI: 10.5281/zenodo.16760383
title: Concentrations of Heavy Metals in Soil near Mining Tailings Dump in Graçanica, Kosovo

description: # Dataset Title: Concentrations of Heavy Metals in Soil near Mining Tailings Dump in Graçanica, Kosovo

## Authors:- Dr. rer. nat. Flurije Sheremeti Kabashi- MSc. Argjend Hajra

## Description:This dataset contains measurements of heavy metal concentrations in surface soil samples collected from the area near a mining tailings dump in Graçanica, Kosovo. The purpose of this dataset is to assess the potential contamination and spatial distribution of various heavy metals in the affected region.

## Number of Samples:6 surface soil samples (labeled S1 to S6)

## Location:Mining Tailings Dump, Graçanica, Kosovo  Coordinates are given in the **KosovaRef** coordinate reference system.

## Parameters Measured:Each soil sample includes the following measured parameters (in mg/kg unless otherwise stated):- Mn - Manganese- Pb - Lead- As - Arsenic- Cd - Cadmium- Cr - Chromium- Cu - Copper- Fe - Iron- V - Vanadium- Zn - Zinc- Sb - Antimony- Ti - Titanium- pH - Soil pH (unitless)

## Data Format:The dataset is provided in Excel (.xlsx) format. Each row represents one soil sample and includes sample ID, coordinates (x, y), and concentrations of each element.

## License:Creative Commons Attribution 4.0 International (CC BY 4.0)

## Suggested Citation:Sheremeti Kabashi, F., & Hajra, A. (2025). *Concentrations of Heavy Metals in Soil near Mining Tailings Dump in Graçanica, Kosovo* [Data set]. Zenodo. https://doi.org/xxxxx  (Note: Replace the DOI after uploading to Zenodo)

## Funding:This research was funded by the Ministry of Education, Science, Technology, and Innovation of the Republic of Kosovo and the Austrian Development Agency, grant number: 2/2477-1, 26.11.2024.

## Contact:For further information or questions regarding the dataset, please contact:- Dr. Flurije Sheremeti Kabashi (flurije.sheremeti@umib.net)- MSc. Argjend Hajra (argjendhajra94@gmail.com)