cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15727397
title: ELFI REVISED IMPLEMENTATION TIMELINE Phased Regional Expansion: SW America → Africa → South America → Europe/Mexico

description: Defensive Publication Notice: Advanced Shielded Regeneration Economy (ASRE) Ratings Framework

Title:Advanced Shielded Regeneration Economy (ASRE) Ratings Framework

Authors:Global Regenerative Impact Network (GRIN) Core Team, Indigenous Advisors, Technical Partners

Date of Publication:June 23, 2025

Abstract:The ASRE Ratings Framework is a multi-dimensional, standards-based system for evaluating and certifying regenerative land stewardship projects. It integrates ecological, legal, social, and economic metrics to assess project maturity and impact. The framework is designed to harmonize with international treaty law, regional governance protocols, and digital enforcement tools, providing a transparent, auditable, and scalable approach for global regenerative economies.

Technical Description:The ASRE Ratings Framework comprises:





Four Pillars of Evaluation:





Legal Shielding: Verification of treaty-based land tenure, harmonization with regional and international legal frameworks (e.g., AU, OAS, EU), and deployment of Private Membership Associations (PMAs) and smart treaties.




Regenerative Engine: Integration of Traditional Ecological Knowledge (TEK) oracles and region-specific environmental data (e.g., savanna, rainforest, temperate forest sensors) for real-time monitoring.




Governance & Participation: Multi-stakeholder DAOs with weighted representation for Indigenous, local, and investor groups; transparent on-chain voting and reporting.




Asset Backing: Tokenization of land rights via Indigenous Land Tokens (ILTs), issuance of Earth Bonds, and risk-adjusted rating mechanisms.






Scalability Features:





Land Back API, localized for language, law, and cultural context.




Modular integration with blockchain platforms (e.g., Stellar, Celo, EU digital finance).




Automated ASRE Maturity Certification (Stages 1-4) based on data-driven performance.






Intended Use:To enable communities, investors, and policymakers to assess, certify, and invest in regenerative land projects globally, while preventing enclosure or privatization of the underlying methodologies.



Prior Art Statement:This publication is intended to establish the ASRE Ratings Framework as prior art. All technical details, processes, and system architectures described herein are placed in the public domain as of the publication date. This notice is intended to prevent the patenting of the ASRE Ratings Framework or its substantial components by any party245.

Contact:enchantedbywaysbbp@gmail.comwww.enchantedbywaysbbp.com
DOI: 10.5281/zenodo.15727398
title: ELFI REVISED IMPLEMENTATION TIMELINE Phased Regional Expansion: SW America → Africa → South America → Europe/Mexico

description: Defensive Publication Notice: Advanced Shielded Regeneration Economy (ASRE) Ratings Framework

Title:Advanced Shielded Regeneration Economy (ASRE) Ratings Framework

Authors:Global Regenerative Impact Network (GRIN) Core Team, Indigenous Advisors, Technical Partners

Date of Publication:June 23, 2025

Abstract:The ASRE Ratings Framework is a multi-dimensional, standards-based system for evaluating and certifying regenerative land stewardship projects. It integrates ecological, legal, social, and economic metrics to assess project maturity and impact. The framework is designed to harmonize with international treaty law, regional governance protocols, and digital enforcement tools, providing a transparent, auditable, and scalable approach for global regenerative economies.

Technical Description:The ASRE Ratings Framework comprises:





Four Pillars of Evaluation:





Legal Shielding: Verification of treaty-based land tenure, harmonization with regional and international legal frameworks (e.g., AU, OAS, EU), and deployment of Private Membership Associations (PMAs) and smart treaties.




Regenerative Engine: Integration of Traditional Ecological Knowledge (TEK) oracles and region-specific environmental data (e.g., savanna, rainforest, temperate forest sensors) for real-time monitoring.




Governance & Participation: Multi-stakeholder DAOs with weighted representation for Indigenous, local, and investor groups; transparent on-chain voting and reporting.




Asset Backing: Tokenization of land rights via Indigenous Land Tokens (ILTs), issuance of Earth Bonds, and risk-adjusted rating mechanisms.






Scalability Features:





Land Back API, localized for language, law, and cultural context.




Modular integration with blockchain platforms (e.g., Stellar, Celo, EU digital finance).




Automated ASRE Maturity Certification (Stages 1-4) based on data-driven performance.






Intended Use:To enable communities, investors, and policymakers to assess, certify, and invest in regenerative land projects globally, while preventing enclosure or privatization of the underlying methodologies.



Prior Art Statement:This publication is intended to establish the ASRE Ratings Framework as prior art. All technical details, processes, and system architectures described herein are placed in the public domain as of the publication date. This notice is intended to prevent the patenting of the ASRE Ratings Framework or its substantial components by any party245.

Contact:enchantedbywaysbbp@gmail.comwww.enchantedbywaysbbp.com
DOI: 10.6084/m9.figshare.29379161
title: PocketAffDB (Structure data)

description: Dataset OverviewThis dataset contains protein-ligand binding affinity and structure data of PocketAffDB.Go to https://doi.org/10.6084/m9.figshare.27966819 for the training dataset of LigUnity.Structure Files (<code>structures.tar.gz</code>)This compressed archive contains three folders with structural data:<b>pocket/</b>Contains binding pocket PDB filesNaming convention: <code>PDBID_ReceptorChain_LigandID_LigandChain_LigandSerialNumber.pdb</code><br>Example: <code>pocket5.0_2q5s_A_NZA_A_1.pdb</code><b>protein/</b>Contains protein structure PDB filesNaming convention: <code>PDBID+ReceptorChain.pdb</code><br>Example: <code>2q5sA.pdb</code><b>ligand/</b>Contains ligand structure PDB filesNaming convention: <code>PDBID_LigandID_LigandChain_LigandSerialNumber.pdb</code><br>Example: <code>2q5s_NZA_A_1.pdb</code>Affinity Data (<code>train_label_blend_seq_full.json</code>)This JSON file contains all assay informationReadme file (<code>readme.md</code>)The markdown file for details about PocketAffDB<br>
DOI: 10.6084/m9.figshare.29379161.v1
title: PocketAffDB (Structure data)

description: Dataset OverviewThis dataset contains protein-ligand binding affinity and structure data of PocketAffDB.Go to https://doi.org/10.6084/m9.figshare.27966819 for the training dataset of LigUnity.Structure Files (<code>structures.tar.gz</code>)This compressed archive contains three folders with structural data:<b>pocket/</b>Contains binding pocket PDB filesNaming convention: <code>PDBID_ReceptorChain_LigandID_LigandChain_LigandSerialNumber.pdb</code><br>Example: <code>pocket5.0_2q5s_A_NZA_A_1.pdb</code><b>protein/</b>Contains protein structure PDB filesNaming convention: <code>PDBID+ReceptorChain.pdb</code><br>Example: <code>2q5sA.pdb</code><b>ligand/</b>Contains ligand structure PDB filesNaming convention: <code>PDBID_LigandID_LigandChain_LigandSerialNumber.pdb</code><br>Example: <code>2q5s_NZA_A_1.pdb</code>Affinity Data (<code>train_label_blend_seq_full.json</code>)This JSON file contains all assay informationReadme file (<code>readme.md</code>)The markdown file for details about PocketAffDB<br>
DOI: 10.5281/zenodo.15727361
title: REPOSITORY DATA: Investigations on the EMI Properties of Silicone-based Graphite and Iron Composites
DOI: 10.5281/zenodo.15727356
title: AutoWISP test data

description: Demostration and testing data set for the AutoWISP package
DOI: 10.5281/zenodo.15727436
title: Köln-Zollstock Süd-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.5281/zenodo.15727437
title: Köln-Zollstock Süd-Apotheke (ca. 1924/1947)

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963 [Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.15468/dl.vj7smg
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ADN9938"
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066857-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a5dd8z
title: Occurrence Download

description: A dataset containing 157630 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mollusca"
 ]
}

 The dataset includes 157630 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066847-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rj5urg
title: Occurrence Download

description: A dataset containing 23396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Year is 2018",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 23396 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037256-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e37gx4
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brasiliopuntia brasiliensis",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037257-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxtbru
title: Occurrence Download

description: A dataset containing 391602 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aves)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((112.5 -15,120 -15,120 -7.5,112.5 -7.5,112.5 -15))"
 ]
}

 The dataset includes 391602 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037211-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bg4yyx
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tracheophyta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-22.5 -7.5,-15 -7.5,-15 0,-22.5 0,-22.5 -7.5))"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037260-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e239026
title: HIFLD Open Ferry Terminals

description: The National Census of Ferry Operators (NCFO) Terminals dataset was collected through December 31, 2020 and compiled on October 16, 2024 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). <br><br>The Ferry Terminals dataset represents all ferry terminals from operators that provided responses to the 2020 National Census of Ferry Operators. Areas covered by the dataset include the 50 states as well as the territories of Puerto Rico, the United States Virgin Island, and American Samoa. The terminals represent departure and arrival locations for ferry segments in the NCFO. As part of the NCFO questionnaire, respondents were asked terminal name, city, and state. From this information, longitude and latitudes were obtained through open, online searches that include operator websites and map platforms such as Google Maps and Open Street Maps. As a result, termina sometimes do not represent the exact location where ferry vessels dock but may represent other locations such as the operator’s business location or alternative docking locations. However, whenever possible, the terminal locations represent departure and arrival points for that ferry segment. Each terminal contains information about its operation and ownership status, in addition to geographic location and transportation connections, whenever operators provided this information.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.3886/e239026v2
title: HIFLD Open Ferry Terminals

description: The National Census of Ferry Operators (NCFO) Terminals dataset was collected through December 31, 2020 and compiled on October 16, 2024 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). <br><br>The Ferry Terminals dataset represents all ferry terminals from operators that provided responses to the 2020 National Census of Ferry Operators. Areas covered by the dataset include the 50 states as well as the territories of Puerto Rico, the United States Virgin Island, and American Samoa. The terminals represent departure and arrival locations for ferry segments in the NCFO. As part of the NCFO questionnaire, respondents were asked terminal name, city, and state. From this information, longitude and latitudes were obtained through open, online searches that include operator websites and map platforms such as Google Maps and Open Street Maps. As a result, termina sometimes do not represent the exact location where ferry vessels dock but may represent other locations such as the operator’s business location or alternative docking locations. However, whenever possible, the terminal locations represent departure and arrival points for that ferry segment. Each terminal contains information about its operation and ownership status, in addition to geographic location and transportation connections, whenever operators provided this information.
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.15468/dl.n4kzne
title: Occurrence Download

description: A dataset containing 870 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Mexico, United States of America)",
 "TaxonKey is Lampropeltis pyromelana"
 ]
}

 The dataset includes 870 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037262-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pu98wb
title: Occurrence Download

description: A dataset containing 1901298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aves)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((15 37.5,22.5 37.5,22.5 45,15 45,15 37.5))"
 ]
}

 The dataset includes 1901298 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037215-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d7f4u3
title: Occurrence Download

description: A dataset containing 5672099 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aves)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((22.5 37.5,30 37.5,30 45,22.5 45,22.5 37.5))"
 ]
}

 The dataset includes 5672099 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037218-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.66w7us
title: Occurrence Download

description: A dataset containing 39618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Year is 2019",
 "InstitutionCode is iNaturalist"
 ]
}

 The dataset includes 39618 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037263-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ykvrc9
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gypsophila cerastoides",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037264-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.btgdqv
title: Occurrence Download

description: A dataset containing 1 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey)) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey)) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey)) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey)) ordercount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'CO'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 2267 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2267 OR CAST(occurrence.kingdomkey AS INTEGER) = 2267 OR CAST(occurrence.phylumkey AS INTEGER) = 2267 OR CAST(occurrence.classkey AS INTEGER) = 2267 OR CAST(occurrence.orderkey AS INTEGER) = 2267 OR CAST(occurrence.familykey AS INTEGER) = 2267 OR CAST(occurrence.genuskey AS INTEGER) = 2267 OR CAST(occurrence.specieskey AS INTEGER) = 2267)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.familykey IS NOT NULL
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey

 The dataset's 1 records were derived from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037240-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s47sck
title: Occurrence Download

description: A dataset containing 128545 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tracheophyta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-45 -7.5,-37.5 -7.5,-37.5 0,-45 0,-45 -7.5))"
 ]
}

 The dataset includes 128545 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037235-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ghnv42
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tracheophyta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-15 -7.5,-7.5 -7.5,-7.5 0,-15 0,-15 -7.5))"
 ]
}

 The dataset includes 30 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037266-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/vvva-0582
title: "In-Service Bridge Monitoring Time-Series Dataset (Raw Signals)"

description: "This dataset contains raw time-series measurements collected on in-service bridges under normal traffic. Data are organized by signal type\u2014strain, support force, and acceleration. Within each signal type, different files correspond to different traffic-flow conditions (e.g., traffic intensity and composition), enabling comparative and generalization studies. Signals are provided as unfiltered, non-detrended, non-resampled records (minimal header metadata only)."