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

description: A dataset containing 200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Corydalis gigantea, Corydalis gigantea, Corydalis dajingensis, Corydalis trilobipetala, Corydalis ludlowii, Corydalis hepaticifolia)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((73 3,136 3,136 54,73 54,73 3))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 200 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015886-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8h9t5
title: Occurrence Download

description: A dataset containing 834 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calendula officinalis",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 834 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015887-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sx9tjw
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Campanula tommasiniana"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015888-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17019997
title: The Global Digital Legal Harmonization and Climate Compliance Act: An India-Led Framework for AI, Blockchain, and Climate Justice in Global Governance

description: The Global Digital Legal Harmonization and Climate Compliance Act: An India-Led Framework for AI, Blockchain, and Climate Justice in Global Governance

---

📌 Description 

 

This work presents a pioneering international legal and governance framework—The Global Digital Legal Harmonization and Climate Compliance Act (GDLC Act)—that integrates Artificial Intelligence, Blockchain, and Smart Contracts to enhance transparency, accountability, and inclusivity in global governance.

 

The Act establishes:

 

A Global Digital Treaty Registry (GDTR), an AI-powered blockchain repository for international treaties.

 

A Self-Sovereign Legal Identity (SSLID) for diplomats, states, and citizens, ensuring secure, cross-border legal participation.

 

A Climate Law Smart Contract Platform (CLSCP) to automate monitoring, compliance, and enforcement of climate obligations.

 

An India-led Global Digital & Climate Tribunal (IGDCT), co-designed with the Global South (Africa, ASEAN, SAARC, and Latin America), bridging civilizational ethics and advanced digital diplomacy.

 

 

Drawing inspiration from the Paris Agreement, Kyoto Protocol, Budapest Convention, Tallinn Manual, and Aarhus Convention, this Act fills critical legal gaps by embedding enforceable, technology-driven compliance mechanisms. It also aligns with the UN Sustainable Development Goals (SDGs), particularly SDG 9 (Innovation), SDG 13 (Climate Action), and SDG 16 (Peace and Justice).

 

The work embodies India’s vision of “Vasudhaiva Kutumbakam – The World is One Family”, positioning the Global South as a co-architect of future-ready, ethical, and sustainable governance frameworks.

 

This Act is a living contribution to international law, climate justice, and digital sovereignty, offering a blueprint for transparent, equitable, and resilient global cooperation in the 21st century.
DOI: 10.5281/zenodo.17019998
title: The Global Digital Legal Harmonization and Climate Compliance Act: An India-Led Framework for AI, Blockchain, and Climate Justice in Global Governance

description: The Global Digital Legal Harmonization and Climate Compliance Act: An India-Led Framework for AI, Blockchain, and Climate Justice in Global Governance

---

📌 Description 

 

This work presents a pioneering international legal and governance framework—The Global Digital Legal Harmonization and Climate Compliance Act (GDLC Act)—that integrates Artificial Intelligence, Blockchain, and Smart Contracts to enhance transparency, accountability, and inclusivity in global governance.

 

The Act establishes:

 

A Global Digital Treaty Registry (GDTR), an AI-powered blockchain repository for international treaties.

 

A Self-Sovereign Legal Identity (SSLID) for diplomats, states, and citizens, ensuring secure, cross-border legal participation.

 

A Climate Law Smart Contract Platform (CLSCP) to automate monitoring, compliance, and enforcement of climate obligations.

 

An India-led Global Digital & Climate Tribunal (IGDCT), co-designed with the Global South (Africa, ASEAN, SAARC, and Latin America), bridging civilizational ethics and advanced digital diplomacy.

 

 

Drawing inspiration from the Paris Agreement, Kyoto Protocol, Budapest Convention, Tallinn Manual, and Aarhus Convention, this Act fills critical legal gaps by embedding enforceable, technology-driven compliance mechanisms. It also aligns with the UN Sustainable Development Goals (SDGs), particularly SDG 9 (Innovation), SDG 13 (Climate Action), and SDG 16 (Peace and Justice).

 

The work embodies India’s vision of “Vasudhaiva Kutumbakam – The World is One Family”, positioning the Global South as a co-architect of future-ready, ethical, and sustainable governance frameworks.

 

This Act is a living contribution to international law, climate justice, and digital sovereignty, offering a blueprint for transparent, equitable, and resilient global cooperation in the 21st century.
DOI: 10.5281/zenodo.16317605
title: BIEN dataset related to manuscript Bridging Biodiversity Gaps: Assessing R Tools for Harmonising Vascular Plant Records

description: Data downloaded from the Botanical Information and Ecology Network (BIEN) via the BIEN R package on the 22nd January 2025. Public BIEN data is licensed via a CC-BY-NC-ND license.  Please see BIENdata.org for more information.

We acknowledge the herbaria that contributed data to this work: M, CM, BRNU, BERN, MACB, KR, GJO, TAA, PI, NMLU, UNSW, AAU, ABH, AK, ARAN, B, BAS, BC, BIO, BOUM, C, CANB, CHSC, COA, COL, DAV, DBG, E, F, FCO, FLAS, FR, G, GAT, GLM, GZU, HAL, HO, IAC, K, KTU, KU, LD, LEB, MA, MAF, MBM, MEL, MGC, MIN, MNHM, MNHN, MO, NSW, O, PAMP, S, SALA, SANT, SD, SEV, STU, TAIF, TALL, TUB, TENN, TRH, UCS, US, USCH, VAL, VIT, W, WU, Z, ZT.

 

References

Enquist, B. J., Sandel, B., Boyle, B., Svenning, J.-C., McGill, B. J., Donoghue, J. C., Hinchliff, C. E., Jorgensen, P. M., Kraft, N. J. B., Marcuse-Kubitza, A., Merow, C., Morueta-Holme, N., Peet, R. K., Schildhauer, M., Spencer, N., Regetz, J., Simova, I., Smith, S. A., Thiers, B., ... ter Steege, H. (n.d.). Botanical big data shows that plant diversity in the New World is driven by climatic-linked differences in evolutionary rates and biotic exclusion. [Unpublished manuscript]

Maitner, B. S., Boyle, B., Casler, N., Condit, R., Donoghue, J., Duran, S. M., Guaderrama, D., Hinchliff, C. E., Jorgensen, P. M., Kraft, N. J. B., McGill, B., Merow, C., Morueta-Holme, N., Peet, R. K., Sandel, B., Schildhauer, M., Smith, S. A., Svenning, J.-C., Thiers, B., ... Enquist, B. J. (2018). The BIEN R package: A tool to access the Botanical Information and Ecology Network (BIEN) database. Methods in Ecology and Evolution, 9(2), 373–379. https://doi.org/10.1111/2041-210X.12861

GBIF.org. (2020, November 16). GBIF Occurrence Download. https://doi.org/10.15468/dl.87zyez

SpeciesLink. (2012). Retrieved March 29, 2012, from http://www.splink.org.br/
DOI: 10.5281/zenodo.16317606
title: BIEN dataset related to manuscript Bridging Biodiversity Gaps: Assessing R Tools for Harmonising Vascular Plant Records

description: Data downloaded from the Botanical Information and Ecology Network (BIEN) via the BIEN R package on the 22nd January 2025. Public BIEN data is licensed via a CC-BY-NC-ND license.  Please see BIENdata.org for more information.

We acknowledge the herbaria that contributed data to this work: M, CM, BRNU, BERN, MACB, KR, GJO, TAA, PI, NMLU, UNSW, AAU, ABH, AK, ARAN, B, BAS, BC, BIO, BOUM, C, CANB, CHSC, COA, COL, DAV, DBG, E, F, FCO, FLAS, FR, G, GAT, GLM, GZU, HAL, HO, IAC, K, KTU, KU, LD, LEB, MA, MAF, MBM, MEL, MGC, MIN, MNHM, MNHN, MO, NSW, O, PAMP, S, SALA, SANT, SD, SEV, STU, TAIF, TALL, TUB, TENN, TRH, UCS, US, USCH, VAL, VIT, W, WU, Z, ZT.

 

References

Enquist, B. J., Sandel, B., Boyle, B., Svenning, J.-C., McGill, B. J., Donoghue, J. C., Hinchliff, C. E., Jorgensen, P. M., Kraft, N. J. B., Marcuse-Kubitza, A., Merow, C., Morueta-Holme, N., Peet, R. K., Schildhauer, M., Spencer, N., Regetz, J., Simova, I., Smith, S. A., Thiers, B., ... ter Steege, H. (n.d.). Botanical big data shows that plant diversity in the New World is driven by climatic-linked differences in evolutionary rates and biotic exclusion. [Unpublished manuscript]

Maitner, B. S., Boyle, B., Casler, N., Condit, R., Donoghue, J., Duran, S. M., Guaderrama, D., Hinchliff, C. E., Jorgensen, P. M., Kraft, N. J. B., McGill, B., Merow, C., Morueta-Holme, N., Peet, R. K., Sandel, B., Schildhauer, M., Smith, S. A., Svenning, J.-C., Thiers, B., ... Enquist, B. J. (2018). The BIEN R package: A tool to access the Botanical Information and Ecology Network (BIEN) database. Methods in Ecology and Evolution, 9(2), 373–379. https://doi.org/10.1111/2041-210X.12861

GBIF.org. (2020, November 16). GBIF Occurrence Download. https://doi.org/10.15468/dl.87zyez

SpeciesLink. (2012). Retrieved March 29, 2012, from http://www.splink.org.br/
DOI: 10.15468/dl.7gttpx
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-6.52114087120606 37.246924341270265,-6.496234710801375 37.246924341270265,-6.496234710801375 37.27183050167495,-6.52114087120606 37.27183050167495,-6.52114087120606 37.246924341270265))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Remiz pendulinus"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015889-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vf5x39
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Barbastella barbastellus",
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is 2000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015890-250827131500795/datasets/export for details.
DOI: 10.15468/dl.3yfqag
title: Occurrence Download

description: A dataset containing 141819 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 141819 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015833-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yjez3p
title: Occurrence Download

description: A dataset containing 428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mesembryanthemum guerichianum",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 428 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015891-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58053/mapbiomas/vc507i
title: Mining statistics - MapBiomas Brasil Collection 9

description: Data on mined area (ha) (classified as industrial and garimpo) for each year between 1985 and 2023, based on MapBiomas Brazil Collection 9
DOI: 10.5281/zenodo.17019768
title: Ponza - Itinerario dello stracquo

description: Stracquo (sea debriss) itinerary in Ponza Island (Italy).

Data gathering funded by the European Union - Next Generation EU, Mission 4 Component 2, under the PRIN 2022 call, Islands 4 Future. Protecting next generations from marginalisation: a field-based, multi-dimensional and participatory intervention on promoting cultural heritage, future opportunities and tourism on small islands (2022T4P5WP).
DOI: 10.5281/zenodo.17019767
title: Ponza - Itinerario dello stracquo

description: Stracquo (sea debriss) itinerary in Ponza Island (Italy).

Data gathering funded by the European Union - Next Generation EU, Mission 4 Component 2, under the PRIN 2022 call, Islands 4 Future. Protecting next generations from marginalisation: a field-based, multi-dimensional and participatory intervention on promoting cultural heritage, future opportunities and tourism on small islands (2022T4P5WP).
DOI: 10.15468/dl.eytmdw
title: Occurrence Download

description: A dataset containing 282 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rotheca myricoides myricoides"
 ]
}

 The dataset includes 282 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015892-250827131500795/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.30023491
title: WorldMove Dataset

description: WorldMove is an open-access worldwide human mobility dataset. We follow a generative AI-based approach to create a large-scale mobility dataset for cities worldwide. Our method leverages publicly available multi-source data, including population distribution, points of interest (POIs), and synthetic commuting origin-destination flow datasets, to generate realistic city-scale mobility trajectories.
DOI: 10.6084/m9.figshare.30023491.v1
title: WorldMove Dataset

description: WorldMove is an open-access worldwide human mobility dataset. We follow a generative AI-based approach to create a large-scale mobility dataset for cities worldwide. Our method leverages publicly available multi-source data, including population distribution, points of interest (POIs), and synthetic commuting origin-destination flow datasets, to generate realistic city-scale mobility trajectories.
DOI: 10.15468/dl.hr2uwe
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calendula palaestina",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015894-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16217897
title: Household Electricity Consumption Data 2024 in Ireland

description: This document provided 100 hourly Irish household consumption data throughout the year 2024.
DOI: 10.15468/dl.tzzef8
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.35725 43.53925,1.35861 43.53724,1.36623 43.53658,1.36919 43.53795,1.36935 43.53958,1.36065 43.54062,1.35904 43.54207,1.35982 43.54507,1.3574 43.5464,1.35471 43.54418,1.35623 43.54332,1.35467 43.54211,1.35725 43.53925))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 50 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015896-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16217896
title: Household Electricity Consumption Data 2024 in Ireland

description: This document provided 100 hourly Irish household consumption data throughout the year 2024.
DOI: 10.15468/dl.n2x9wa
title: Occurrence Download

description: A dataset containing 574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atriplex lindleyi",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 574 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015897-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tsy8p2
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-6.52114087120606 37.246924341270265,-6.496234710801375 37.246924341270265,-6.496234710801375 37.27183050167495,-6.52114087120606 37.27183050167495,-6.52114087120606 37.246924341270265))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Remiz pendulinus"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015895-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rj73x
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calyptocarpus vialis",
 "Country is El Salvador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015900-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8wfh8y
title: Occurrence Download

description: A dataset containing 718 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sunhangia elegans elegans"
 ]
}

 The dataset includes 718 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015898-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d62vcj
title: Occurrence Download

description: A dataset containing 829 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calyptocarpus vialis",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 829 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015899-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qbxcae
title: Occurrence Download

description: A dataset containing 110992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is INPN - Données flore des CBN agrégées par la FCBN",
 "GadmGid is FRA.11.6_1"
 ]
}

 The dataset includes 110992 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015885-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7tj3e
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calyptocarpus vialis",
 "Country is Guatemala",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015901-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9sva2u
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lampranthus otzenianus",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 40 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015902-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17019984
title: Nano-Enhanced LNG (NELT): A Dual-Pronged Framework for Next-Generation Energy Efficiency

description: The liquefaction of natural gas (LNG) is a thermodynamically demanding process, representing a primary bottleneck in the energy efficiency of the LNG value chain. This paper introduces the Nano-Enhanced Liquefaction Technology (NELT) framework, a novel, dual-pronged strategy employing carbon-based nanomaterials (CBNs) to fundamentally improve performance. The framework is built on two testable hypotheses: (1) The dispersion of low-concentration (0.1–0.5 wt%) CBNs in cryogenic refrigerants will augment heat transfer, targeting a liquefaction energy reduction of 5–8%. (2) The introduction of CBNs (0.05–0.2 wt%) as a combustion catalyst during regasification will enhance thermal efficiency by 4–7%, thereby reducing fuel consumption. We present the theoretical underpinnings, a rigorous validation roadmap, systematic solutions to critical engineering challenges, and a quantitative analysis of the potential economic and environmental benefits. NELT represents a paradigm shift from incremental improvements to a transformative approach for enhancing global energy sustainability.
DOI: 10.5281/zenodo.17019985
title: Nano-Enhanced LNG (NELT): A Dual-Pronged Framework for Next-Generation Energy Efficiency

description: The liquefaction of natural gas (LNG) is a thermodynamically demanding process, representing a primary bottleneck in the energy efficiency of the LNG value chain. This paper introduces the Nano-Enhanced Liquefaction Technology (NELT) framework, a novel, dual-pronged strategy employing carbon-based nanomaterials (CBNs) to fundamentally improve performance. The framework is built on two testable hypotheses: (1) The dispersion of low-concentration (0.1–0.5 wt%) CBNs in cryogenic refrigerants will augment heat transfer, targeting a liquefaction energy reduction of 5–8%. (2) The introduction of CBNs (0.05–0.2 wt%) as a combustion catalyst during regasification will enhance thermal efficiency by 4–7%, thereby reducing fuel consumption. We present the theoretical underpinnings, a rigorous validation roadmap, systematic solutions to critical engineering challenges, and a quantitative analysis of the potential economic and environmental benefits. NELT represents a paradigm shift from incremental improvements to a transformative approach for enhancing global energy sustainability.