cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7274/29510330
title: Catalytic Membranes for Drinking Water Treatment

description: The contamination of drinking water by oxyanions such as nitrate (NO3?), nitrite (NO2?), and bromate (BrO3?) presents a challenge for public health and water treatment systems due to their high solubility, persistence, and toxicity. Conventional treatment technologies often struggle with effective removal, frequently producing secondary waste that require additional treatment. This research addresses these limitations by exploring catalytic membrane systems, specifically the development and characterization of membranes embedded with palladium (Pd) nano catalysts for the hydrogenation and reduction of oxyanions in water.
 The first objective of this work was to synthesize and characterize catalytic membranes that reduced contaminants in water while minimizing the use of precious metals. Poly(4-vinylpyridine) (P4VP) and its quaternized form (P4VP?) were used as polymeric supports to immobilize Pd species. Through controlled fabrication methods, nanoparticles were achieved and characterized using a range of advanced techniques including XPS, TEM, SEM, and ICP. Catalytic performance was evaluated via bromate removal experiments, demonstrating that membranes with well-dispersed Pd sites exhibited significant activity.
 The second objective was to model the relationship between mass transfer and reaction kinetics within catalytic membranes, particularly accounting for variable pore size distributions. A mathematical model was developed to simulate the catalytic hydrogenation process across membranes with either uniform or variable pore structures. The modeling results revealed that membranes with broader pore size distributions experience more complex trade-offs between mass transfer resistance and reaction rates. High Damköhler (Da) and Stanton (St) numbers were correlated with optimal catalytic performance, and the analysis provided key design criteria to maximize contaminant conversion while minimizing residence time and material costs.
 The third objective focused on evaluating the stability and availability of hydrogen, the critical electron donor in hydrogenation reactions. Various hydrogen delivery systems were tested, including commercial hydrogen-generating devices and a nanobubble generator. Hydrogen stability was assessed under different ionic strength conditions. The results showed that nanobubbles provided sustained hydrogen presence in water over extended periods, though their stability was highly sensitive to salinity. 
 Together, these studies demonstrate that catalytic membranes supported with Pd nano catalysts offer a promising pathway for the effective removal of oxyanions from drinking water sources. The research highlights the importance of membrane structure optimization, catalyst dispersion control, and hydrogen delivery management in advancing catalytic water treatment technologies.
DOI: 10.7274/29510330.v1
title: Catalytic Membranes for Drinking Water Treatment

description: The contamination of drinking water by oxyanions such as nitrate (NO3?), nitrite (NO2?), and bromate (BrO3?) presents a challenge for public health and water treatment systems due to their high solubility, persistence, and toxicity. Conventional treatment technologies often struggle with effective removal, frequently producing secondary waste that require additional treatment. This research addresses these limitations by exploring catalytic membrane systems, specifically the development and characterization of membranes embedded with palladium (Pd) nano catalysts for the hydrogenation and reduction of oxyanions in water.
 The first objective of this work was to synthesize and characterize catalytic membranes that reduced contaminants in water while minimizing the use of precious metals. Poly(4-vinylpyridine) (P4VP) and its quaternized form (P4VP?) were used as polymeric supports to immobilize Pd species. Through controlled fabrication methods, nanoparticles were achieved and characterized using a range of advanced techniques including XPS, TEM, SEM, and ICP. Catalytic performance was evaluated via bromate removal experiments, demonstrating that membranes with well-dispersed Pd sites exhibited significant activity.
 The second objective was to model the relationship between mass transfer and reaction kinetics within catalytic membranes, particularly accounting for variable pore size distributions. A mathematical model was developed to simulate the catalytic hydrogenation process across membranes with either uniform or variable pore structures. The modeling results revealed that membranes with broader pore size distributions experience more complex trade-offs between mass transfer resistance and reaction rates. High Damköhler (Da) and Stanton (St) numbers were correlated with optimal catalytic performance, and the analysis provided key design criteria to maximize contaminant conversion while minimizing residence time and material costs.
 The third objective focused on evaluating the stability and availability of hydrogen, the critical electron donor in hydrogenation reactions. Various hydrogen delivery systems were tested, including commercial hydrogen-generating devices and a nanobubble generator. Hydrogen stability was assessed under different ionic strength conditions. The results showed that nanobubbles provided sustained hydrogen presence in water over extended periods, though their stability was highly sensitive to salinity. 
 Together, these studies demonstrate that catalytic membranes supported with Pd nano catalysts offer a promising pathway for the effective removal of oxyanions from drinking water sources. The research highlights the importance of membrane structure optimization, catalyst dispersion control, and hydrogen delivery management in advancing catalytic water treatment technologies.
DOI: 10.15468/dl.45pwg4
title: Occurrence Download

description: A dataset containing 13853 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "Country is North Macedonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13853 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018196-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7zdgv
title: Occurrence Download

description: A dataset containing 8995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((130.85737 10.11875,123.43702 23.72278,124.33646 34.74091,122.31272 43.73534,112.8686 45.75908,91.5068 35.30306,81.38816 33.16689,77.2282 36.31493,69.24571 36.09008,66.65981 20.34986,80.71358 -3.71015,105.11091 -8.09496,110.50755 -21.92385,114.4426 -37.7765,131.08225 -36.20246,158.29034 -31.81771,154.35529 -15.96506,147.27219 4.15994,130.85737 10.11875))",
 "TaxonKey is Melia azedarach"
 ]
}

 The dataset includes 8995 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018198-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5juws3
title: Occurrence Download

description: A dataset containing 2337 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvadora persica",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 2337 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018197-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cpa2x3
title: Occurrence Download

description: A dataset containing 29492685 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 29492685 records from 177 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018158-250711103210423/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.24369136
title: OpenCitations Index N-Triples dataset of all the citation data

description: This dataset contains all the citation data (in N-Triples format) included in the OpenCitations Index, released on July 10, 2025. In particular, any citation in the dataset, defined as an individual of the class <i>cito:Citation</i>, includes the following information:<b>[citation IRI]</b> the Open Citation Identifier (OCI) for the citation, defined in the final part of the URL identifying the citation (https://w3id.org/oc/index/ci/[OCI]);<b>[property "cito:hasCitingEntity"]</b> the citing entity identified by its OMID URL (https://https://opencitations.net/meta/[OMID]);<b>[property "cito:hasCitedEntity"]</b> the cited entity identified by its OMID URL (https://https://opencitations.net/meta/[OMID]);<b>[property "cito:hasCitationCreationDate"]</b> the creation date of the citation (i.e. the publication date of the citing entity);<b>[property "cito:hasCitationTimeSpan"]</b> the time span of the citation (i.e. the interval between the publication date of the cited entity and the publication date of the citing entity);<b>[type "cito:JournalSelfCitation"]</b> it records whether the citation is a journal self-citations (i.e. the citing and the cited entities are published in the same journal);<b>[type "cito:AuthorSelfCitation"]</b> it records whether the citation is an author self-citation (i.e. the citing and the cited entities have at least one author in common).<b>Note: </b>the information for each citation is sourced from OpenCitations Meta (https://opencitations.net/meta), a database that stores and delivers bibliographic metadata for all bibliographic resources included in the OpenCitations Indexes. The data provided in this dump is therefore based on the state of OpenCitations Meta at the time this collection was generated.This version of the dataset contains:2,216,426,689 citationsThe size of the zipped archive is 87.4 GB, while the size of the unzipped N-Triples files is 2.1 TB.
DOI: 10.6084/m9.figshare.24369136.v6
title: OpenCitations Index N-Triples dataset of all the citation data

description: This dataset contains all the citation data (in N-Triples format) included in the OpenCitations Index, released on July 10, 2025. In particular, any citation in the dataset, defined as an individual of the class <i>cito:Citation</i>, includes the following information:<b>[citation IRI]</b> the Open Citation Identifier (OCI) for the citation, defined in the final part of the URL identifying the citation (https://w3id.org/oc/index/ci/[OCI]);<b>[property "cito:hasCitingEntity"]</b> the citing entity identified by its OMID URL (https://https://opencitations.net/meta/[OMID]);<b>[property "cito:hasCitedEntity"]</b> the cited entity identified by its OMID URL (https://https://opencitations.net/meta/[OMID]);<b>[property "cito:hasCitationCreationDate"]</b> the creation date of the citation (i.e. the publication date of the citing entity);<b>[property "cito:hasCitationTimeSpan"]</b> the time span of the citation (i.e. the interval between the publication date of the cited entity and the publication date of the citing entity);<b>[type "cito:JournalSelfCitation"]</b> it records whether the citation is a journal self-citations (i.e. the citing and the cited entities are published in the same journal);<b>[type "cito:AuthorSelfCitation"]</b> it records whether the citation is an author self-citation (i.e. the citing and the cited entities have at least one author in common).<b>Note: </b>the information for each citation is sourced from OpenCitations Meta (https://opencitations.net/meta), a database that stores and delivers bibliographic metadata for all bibliographic resources included in the OpenCitations Indexes. The data provided in this dump is therefore based on the state of OpenCitations Meta at the time this collection was generated.This version of the dataset contains:2,216,426,689 citationsThe size of the zipped archive is 87.4 GB, while the size of the unzipped N-Triples files is 2.1 TB.
DOI: 10.6084/m9.figshare.24369136.v5
title: OpenCitations Index N-Triples dataset of all the citation data

description: This dataset contains all the citation data (in N-Triples format) included in the OpenCitations Index, released on July 10, 2025. In particular, any citation in the dataset, defined as an individual of the class <i>cito:Citation</i>, includes the following information:<b>[citation IRI]</b> the Open Citation Identifier (OCI) for the citation, defined in the final part of the URL identifying the citation (https://w3id.org/oc/index/ci/[OCI]);<b>[property "cito:hasCitingEntity"]</b> the citing entity identified by its OMID URL (https://https://opencitations.net/meta/[OMID]);<b>[property "cito:hasCitedEntity"]</b> the cited entity identified by its OMID URL (https://https://opencitations.net/meta/[OMID]);<b>[property "cito:hasCitationCreationDate"]</b> the creation date of the citation (i.e. the publication date of the citing entity);<b>[property "cito:hasCitationTimeSpan"]</b> the time span of the citation (i.e. the interval between the publication date of the cited entity and the publication date of the citing entity);<b>[type "cito:JournalSelfCitation"]</b> it records whether the citation is a journal self-citations (i.e. the citing and the cited entities are published in the same journal);<b>[type "cito:AuthorSelfCitation"]</b> it records whether the citation is an author self-citation (i.e. the citing and the cited entities have at least one author in common).<b>Note: </b>the information for each citation is sourced from OpenCitations Meta (https://opencitations.net/meta), a database that stores and delivers bibliographic metadata for all bibliographic resources included in the OpenCitations Indexes. The data provided in this dump is therefore based on the state of OpenCitations Meta at the time this collection was generated.This version of the dataset contains:2,216,426,689 citationsThe size of the zipped archive is 87.4 GB, while the size of the unzipped N-Triples files is 2.1 TB.
DOI: 10.15468/dl.ce53u5
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018199-250711103210423/datasets/export for details.
DOI: 10.15468/dl.trbe63
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Grevillea robusta",
 "Country is Venezuela (Bolivarian Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018200-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jkjz2q
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bursaphelenchus mucronatus",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018201-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15925305
title: Ortofoto da área de restauração do Cifloma UFPR

description: Condições de Uso do Material

Licença: Creative Commons Atribuição-NãoComercial 4.0 Internacional (CC BY-NC 4.0)

Este material está licenciado sob os termos da Creative Commons CC BY-NC 4.0.Ele pode ser usado, compartilhado, adaptado e redistribuído para fins educacionais, acadêmicos ou científicos, sem fins lucrativos, desde que seja atribuída a devida autoria e não haja uso comercial.

Ao utilizar este material, você deve:





Atribuir crédito apropriado à autora, incluindo o nome completo, título, data e DOI conforme indicado abaixo;




Indicar se modificações foram feitas no material;




Não utilizar para fins comerciais sem autorização expressa;




Manter a integridade e contexto dos dados, sempre que possível.



Como citar:

Dalla Corte, Ana Paula. Ortofoto da área de restauração do Cifloma UFPR. Curitiba, julho de 2025. DOI: 10.5281/zenodo.15925306

 

Terms of Use

License: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

This material is licensed under the Creative Commons CC BY-NC 4.0 terms.It may be used, shared, adapted, and redistributed for educational, academic, or scientific purposes, non-commercially, provided that proper credit is given and the use does not involve commercial gain.

By using this material, you must:





Give appropriate credit to the author, including full name, title, date, and DOI as shown below;




Indicate if changes were made to the material;




Not use the material for commercial purposes without explicit permission;




Preserve data integrity and context whenever possible.



How to cite:

Dalla Corte, Ana Paula. Orthophoto of the Cifloma UFPR Restoration Area. Curitiba, July 2025. DOI: 10.5281/zenodo.15925306
DOI: 10.5281/zenodo.15925306
title: Ortofoto da área de restauração do Cifloma UFPR

description: Condições de Uso do Material

Licença: Creative Commons Atribuição-NãoComercial 4.0 Internacional (CC BY-NC 4.0)

Este material está licenciado sob os termos da Creative Commons CC BY-NC 4.0.Ele pode ser usado, compartilhado, adaptado e redistribuído para fins educacionais, acadêmicos ou científicos, sem fins lucrativos, desde que seja atribuída a devida autoria e não haja uso comercial.

Ao utilizar este material, você deve:





Atribuir crédito apropriado à autora, incluindo o nome completo, título, data e DOI conforme indicado abaixo;




Indicar se modificações foram feitas no material;




Não utilizar para fins comerciais sem autorização expressa;




Manter a integridade e contexto dos dados, sempre que possível.



Como citar:

Dalla Corte, Ana Paula. Ortofoto da área de restauração do Cifloma UFPR. Curitiba, julho de 2025. DOI: 10.5281/zenodo.15925306

 

Terms of Use

License: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

This material is licensed under the Creative Commons CC BY-NC 4.0 terms.It may be used, shared, adapted, and redistributed for educational, academic, or scientific purposes, non-commercially, provided that proper credit is given and the use does not involve commercial gain.

By using this material, you must:





Give appropriate credit to the author, including full name, title, date, and DOI as shown below;




Indicate if changes were made to the material;




Not use the material for commercial purposes without explicit permission;




Preserve data integrity and context whenever possible.



How to cite:

Dalla Corte, Ana Paula. Orthophoto of the Cifloma UFPR Restoration Area. Curitiba, July 2025. DOI: 10.5281/zenodo.15925306
DOI: 10.6084/m9.figshare.29574863
title: Genetic Scores (hg19) for mtDNA transcript abundance

description: For full details of data generation, see: https://github.com/AJHodgkinson/mitoX
DOI: 10.6084/m9.figshare.29574863.v1
title: Genetic Scores (hg19) for mtDNA transcript abundance

description: For full details of data generation, see: https://github.com/AJHodgkinson/mitoX
DOI: 10.6084/m9.figshare.24416749
title: OpenCitations Index Scholix dataset of all the citation data

description: This dataset contains all the citation data (in Scholix format) included in the OpenCitations Index, released on July 10, 2025.<b>Note: </b>the information for each citation is sourced from OpenCitations Meta (https://opencitations.net/meta), a database that stores and delivers bibliographic metadata for all bibliographic resources included in the OpenCitations Indexes. The data provided in this dump is therefore based on the state of OpenCitations Meta at the time this collection was generated.This version of the dataset contains:2,216,426,689 citations;The size of the zipped archive is 45 GB, while the size of the unzipped Scholix files is 2.1 TB.
DOI: 10.6084/m9.figshare.24416749.v6
title: OpenCitations Index Scholix dataset of all the citation data

description: This dataset contains all the citation data (in Scholix format) included in the OpenCitations Index, released on July 10, 2025.<b>Note: </b>the information for each citation is sourced from OpenCitations Meta (https://opencitations.net/meta), a database that stores and delivers bibliographic metadata for all bibliographic resources included in the OpenCitations Indexes. The data provided in this dump is therefore based on the state of OpenCitations Meta at the time this collection was generated.This version of the dataset contains:2,216,426,689 citations;The size of the zipped archive is 45 GB, while the size of the unzipped Scholix files is 2.1 TB.
DOI: 10.6084/m9.figshare.24416749.v5
title: OpenCitations Index Scholix dataset of all the citation data

description: This dataset contains all the citation data (in Scholix format) included in the OpenCitations Index, released on July 10, 2025.<b>Note: </b>the information for each citation is sourced from OpenCitations Meta (https://opencitations.net/meta), a database that stores and delivers bibliographic metadata for all bibliographic resources included in the OpenCitations Indexes. The data provided in this dump is therefore based on the state of OpenCitations Meta at the time this collection was generated.This version of the dataset contains:2,216,426,689 citations;The size of the zipped archive is 45 GB, while the size of the unzipped Scholix files is 2.1 TB.
DOI: 10.15468/dl.scana2
title: Occurrence Download

description: A dataset containing 792 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Orthemis"
 ]
}

 The dataset includes 792 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018205-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qy4yq5
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 (Chordeiles minor)",
 "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/0018203-250711103210423/datasets/export for details.