cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.hf4k4j
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004770-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rovipy
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010592-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vmfbsj
title: Occurrence Download

description: A dataset containing 1679216632 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 1679216632 records from 19280 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002784-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u5vpa7
title: Occurrence Download

description: A dataset containing 7678 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asparagus aethiopicus L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7678 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052017-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qu8v3w
title: Occurrence Download

description: A dataset containing 78568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Valerianella locusta (L.) Laterr.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 78568 records from 554 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0257603-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujradg
title: Occurrence Download

description: A dataset containing 1466 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mercurialis huetii Hanry",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1466 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299437-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rktsyg
title: Occurrence Download

description: A dataset containing 11486 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salix daphnoides Vill.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11486 records from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0289825-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tp3742
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acis rosea (F.Martin bis) Sweet",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 193 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0285754-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uyjk7n
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Seseli dichotomum Pall.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 154 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0288678-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqn8zj
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ofaiston monandrum (Pall.) Moq.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 40 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0298654-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25522/manifesto.mpdssa.2016b
title: Manifesto Project Dataset: South America

description: The Manifesto Project Dataset provides the scientific community with parties’ policy positions derived from a content analysis of parties’ electoral manifestos. It covers over 1.000 parties from 1945 until today in over 50 countries on five continents.
 The content analysis aims to discover party and presidential stances by quantifying their statements and messages to their electorate. A unified classification scheme with an accompanying set of rules was developed to make such statements comparable. Analysing manifestos allows for measurement of party and presidents’ policy positions across countries and elections within a common framework. Manifestos are understood to be parties’ only and presidential candidates’ main authoritative policy statements and, therefore, as indicators of the parties’ policy preferences at a given point in time.
 The Manifesto Project Data Collection was originally created by the Manifesto Research Group (MRG) in the late 1970s and the 1980s. The work was continued under the name Comparative Manifestos Project (CMP) at the WZB Berlin Social Science Center in the 1990s and 2000s. Since 2009 the Manifesto Research on Political Representation (MARPOR) project updates and extends the dataset. It is funded by the German Research Foundation (DFG) and is still located at the WZB Berlin Social Science Center.
description: Content coding
DOI: 10.25522/manifesto.mpds.2016b
title: Manifesto Project Dataset

description: The Manifesto Project Dataset provides the scientific community with parties’ policy positions derived from a content analysis of parties’ electoral manifestos. It covers over 1.000 parties from 1945 until today in over 50 countries on five continents.
 The content analysis aims to discover party and presidential stances by quantifying their statements and messages to their electorate. A unified classification scheme with an accompanying set of rules was developed to make such statements comparable. Analysing manifestos allows for measurement of party and presidents’ policy positions across countries and elections within a common framework. Manifestos are understood to be parties’ only and presidential candidates’ main authoritative policy statements and, therefore, as indicators of the parties’ policy preferences at a given point in time.
 The Manifesto Project Data Collection was originally created by the Manifesto Research Group (MRG) in the late 1970s and the 1980s. The work was continued under the name Comparative Manifestos Project (CMP) at the WZB Berlin Social Science Center in the 1990s and 2000s. Since 2009 the Manifesto Research on Political Representation (MARPOR) project updates and extends the dataset. It is funded by the German Research Foundation (DFG) and is still located at the WZB Berlin Social Science Center.
description: Content coding
DOI: 10.15468/dl.ucnxvz
title: Occurrence Download

description: A dataset containing 1621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Allium acutiflorum Loisel.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1621 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0286877-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25522/manifesto.mpds.2014b
title: Manifesto Project Dataset

description: The Manifesto Project Dataset provides the scientific community with parties’ policy positions derived from a content analysis of parties’ electoral manifestos. It covers over 1.000 parties from 1945 until today in over 50 countries on five continents.
 The content analysis aims to discover party and presidential stances by quantifying their statements and messages to their electorate. A unified classification scheme with an accompanying set of rules was developed to make such statements comparable. Analysing manifestos allows for measurement of party and presidents’ policy positions across countries and elections within a common framework. Manifestos are understood to be parties’ only and presidential candidates’ main authoritative policy statements and, therefore, as indicators of the parties’ policy preferences at a given point in time.
 The Manifesto Project Data Collection was originally created by the Manifesto Research Group (MRG) in the late 1970s and the 1980s. The work was continued under the name Comparative Manifestos Project (CMP) at the WZB Berlin Social Science Center in the 1990s and 2000s. Since 2009 the Manifesto Research on Political Representation (MARPOR) project updates and extends the dataset. It is funded by the German Research Foundation (DFG) and is still located at the WZB Berlin Social Science Center.
description: Content coding
DOI: 10.25522/manifesto.mpds.2014a
title: Manifesto Project Dataset

description: The Manifesto Project Dataset provides the scientific community with parties’ policy positions derived from a content analysis of parties’ electoral manifestos. It covers over 1.000 parties from 1945 until today in over 50 countries on five continents.
 The content analysis aims to discover party and presidential stances by quantifying their statements and messages to their electorate. A unified classification scheme with an accompanying set of rules was developed to make such statements comparable. Analysing manifestos allows for measurement of party and presidents’ policy positions across countries and elections within a common framework. Manifestos are understood to be parties’ only and presidential candidates’ main authoritative policy statements and, therefore, as indicators of the parties’ policy preferences at a given point in time.
 The Manifesto Project Data Collection was originally created by the Manifesto Research Group (MRG) in the late 1970s and the 1980s. The work was continued under the name Comparative Manifestos Project (CMP) at the WZB Berlin Social Science Center in the 1990s and 2000s. Since 2009 the Manifesto Research on Political Representation (MARPOR) project updates and extends the dataset. It is funded by the German Research Foundation (DFG) and is still located at the WZB Berlin Social Science Center.
description: Content coding
DOI: 10.25522/manifesto.mpds.2013b
title: Manifesto Project Dataset

description: The Manifesto Project Dataset provides the scientific community with parties’ policy positions derived from a content analysis of parties’ electoral manifestos. It covers over 1.000 parties from 1945 until today in over 50 countries on five continents.
 The content analysis aims to discover party and presidential stances by quantifying their statements and messages to their electorate. A unified classification scheme with an accompanying set of rules was developed to make such statements comparable. Analysing manifestos allows for measurement of party and presidents’ policy positions across countries and elections within a common framework. Manifestos are understood to be parties’ only and presidential candidates’ main authoritative policy statements and, therefore, as indicators of the parties’ policy preferences at a given point in time.
 The Manifesto Project Data Collection was originally created by the Manifesto Research Group (MRG) in the late 1970s and the 1980s. The work was continued under the name Comparative Manifestos Project (CMP) at the WZB Berlin Social Science Center in the 1990s and 2000s. Since 2009 the Manifesto Research on Political Representation (MARPOR) project updates and extends the dataset. It is funded by the German Research Foundation (DFG) and is still located at the WZB Berlin Social Science Center.
description: Content coding
DOI: 10.25522/manifesto.mpds.2013a
title: Manifesto Project Dataset

description: The Manifesto Project Dataset provides the scientific community with parties’ policy positions derived from a content analysis of parties’ electoral manifestos. It covers over 1.000 parties from 1945 until today in over 50 countries on five continents.
 The content analysis aims to discover party and presidential stances by quantifying their statements and messages to their electorate. A unified classification scheme with an accompanying set of rules was developed to make such statements comparable. Analysing manifestos allows for measurement of party and presidents’ policy positions across countries and elections within a common framework. Manifestos are understood to be parties’ only and presidential candidates’ main authoritative policy statements and, therefore, as indicators of the parties’ policy preferences at a given point in time.
 The Manifesto Project Data Collection was originally created by the Manifesto Research Group (MRG) in the late 1970s and the 1980s. The work was continued under the name Comparative Manifestos Project (CMP) at the WZB Berlin Social Science Center in the 1990s and 2000s. Since 2009 the Manifesto Research on Political Representation (MARPOR) project updates and extends the dataset. It is funded by the German Research Foundation (DFG) and is still located at the WZB Berlin Social Science Center.
description: Content coding
DOI: 10.15468/dl.s7m5jr
title: Occurrence Download

description: A dataset containing 11028 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salix lanata L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11028 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0289769-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.stve2a
title: Occurrence Download

description: A dataset containing 474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia graminifolia Vill.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 474 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0260854-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25522/manifesto.mpds.2012b
title: Manifesto Project Dataset

description: The Manifesto Project Dataset provides the scientific community with parties’ policy positions derived from a content analysis of parties’ electoral manifestos. It covers over 1.000 parties from 1945 until today in over 50 countries on five continents.
 The content analysis aims to discover party and presidential stances by quantifying their statements and messages to their electorate. A unified classification scheme with an accompanying set of rules was developed to make such statements comparable. Analysing manifestos allows for measurement of party and presidents’ policy positions across countries and elections within a common framework. Manifestos are understood to be parties’ only and presidential candidates’ main authoritative policy statements and, therefore, as indicators of the parties’ policy preferences at a given point in time.
 The Manifesto Project Data Collection was originally created by the Manifesto Research Group (MRG) in the late 1970s and the 1980s. The work was continued under the name Comparative Manifestos Project (CMP) at the WZB Berlin Social Science Center in the 1990s and 2000s. Since 2009 the Manifesto Research on Political Representation (MARPOR) project updates and extends the dataset. It is funded by the German Research Foundation (DFG) and is still located at the WZB Berlin Social Science Center.
description: Content coding
DOI: 10.15468/dl.72f44e
title: Occurrence Download

description: A dataset containing 37336 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arenaria leptoclados (Rchb.) Guss.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 37336 records from 643 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084109-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/740a1390c801b19f64398e56bc02a0ea
title: CSM01 Seasonal summary of numbers of small mammals on 14 LTER traplines in prairie habitats at Konza Prairie

description: Data set contains seasonal summaries (spring and autumn) of the number of individuals of each species of small mammal captured (relative abundance) on each grassland trapline. Each record contains year, season, trapline and number of individuals captured of each species. These live trap records are based on daily captures during two 4-day trapping periods in spring (late February to early April) and autumn (early October to mid-November) for each of 14 permanent traplines established on seven fire-grazing treatments (two traplines per treatment). These seven fire-grazing treatments include three sites that are grazed by bison (1 unburned, 1 annual burn and 1 4-year burn) and four sites that are not grazed by bison (1 unburned, 1 annual burn and 2 4-year burn).
DOI: 10.5281/zenodo.17702889
title: TELOS Adversarial Validation Dataset

description: Validation results for TELOS AI governance framework demonstrating 0 observed attack successes across

2,550 adversarial attacks from four evaluation sources (AILuminate, MedSafetyBench, HarmBench, SB

243-aligned suite). Includes full forensic audit trail with JSONL governance event logs.

Key Results:

- 2,550 attacks validated (1,200 AILuminate + 900 MedSafetyBench + 400 HarmBench + 50 SB 243-

aligned)

- 0/2,550 observed attack successes

- 95% CI upper bound: ~0.15%

- 95.8% autonomous blocking (Tier 1)

- Six Sigma performance: <2% human escalation

- Three-tier governance architecture (Primacy Attractor → RAG → Human)

Benchmarks:

- AILuminate Standard Benchmark (1,200 prompts, 12 NIST AI RMF harm categories)

- MedSafetyBench (900 prompts, NeurIPS 2024)

- HarmBench (400 prompts, Center for AI Safety)

- SB 243-Aligned Evaluation Suite (50 prompts, internal benchmark aligned with California child safety

categories)

Files Included:

- Complete validation datasets from all four evaluation sources

- Statistical analysis summary

- Tier distribution data

- ERRATA_v1.1.md (validation status clarification)

Forensic Audit Trail (v2.0)

- harmbench_forensic_forensic_summary.json

- HarmBench aggregate statistics

- harmbench_forensic_forensic_results.json

- HarmBench per-prompt forensic data

- harmbench_forensic_fidelity_distribution .csv - HarmBench fidelity scores

- harmbench_forensic_governance_report.html

- HarmBench interactive visualization

- traces/session_harmbench_forensic_*.jsonl

- HarmBench JSONL governance event log

- medsafetybench_forensic_forensic_summary.json - MedSafetyBench aggregate statistics

- medsafetybench_forensic_forensic_results.json - MedSafetyBench per-prompt forensic data

- medsafetybench_forensic_fidelity_distribution.csv - MedSafetyBench fidelity scores

- medsafetybench_forensic_governance_report.html - MedSafetyBench interactive visualization

- traces/session_medsafetybench_forensic_*.jsonl - MedSafetyBench JSONL governance event log

Validation Status:

This dataset demonstrates proof-of-concept validation of the TELOS governance methodology under '

black-box threat models. The healthcare PA and RAG corpus were constructed from authoritative public

domain sources (HIPAA Privacy Rule, HHS guidance, peer-reviewed clinical literature) but have not been

formally validated by external healthcare compliance professionals or clinical researchers. Results should

be interpreted as methodology demonstration, not certification for clinical deployment. See

ERRATA_v1.1.md for details.

License: Apache 2.0

Validation Date: Original validation 2024-12-21 (forensic audit added 2026-01-25, AILuminate/SB 243-

aligned validation added 2026-01)
DOI: 10.5281/zenodo.18370659
title: TELOS Adversarial Validation Dataset

description: Validation results for TELOS AI governance framework demonstrating 0 observed attack successes across

2,550 adversarial attacks from four evaluation sources (AILuminate, MedSafetyBench, HarmBench, SB

243-aligned suite). Includes full forensic audit trail with JSONL governance event logs.

Key Results:

- 2,550 attacks validated (1,200 AILuminate + 900 MedSafetyBench + 400 HarmBench + 50 SB 243-

aligned)

- 0/2,550 observed attack successes

- 95% CI upper bound: ~0.15%

- 95.8% autonomous blocking (Tier 1)

- Six Sigma performance: <2% human escalation

- Three-tier governance architecture (Primacy Attractor → RAG → Human)

Benchmarks:

- AILuminate Standard Benchmark (1,200 prompts, 12 NIST AI RMF harm categories)

- MedSafetyBench (900 prompts, NeurIPS 2024)

- HarmBench (400 prompts, Center for AI Safety)

- SB 243-Aligned Evaluation Suite (50 prompts, internal benchmark aligned with California child safety

categories)

Files Included:

- Complete validation datasets from all four evaluation sources

- Statistical analysis summary

- Tier distribution data

- ERRATA_v1.1.md (validation status clarification)

Forensic Audit Trail (v2.0)

- harmbench_forensic_forensic_summary.json

- HarmBench aggregate statistics

- harmbench_forensic_forensic_results.json

- HarmBench per-prompt forensic data

- harmbench_forensic_fidelity_distribution .csv - HarmBench fidelity scores

- harmbench_forensic_governance_report.html

- HarmBench interactive visualization

- traces/session_harmbench_forensic_*.jsonl

- HarmBench JSONL governance event log

- medsafetybench_forensic_forensic_summary.json - MedSafetyBench aggregate statistics

- medsafetybench_forensic_forensic_results.json - MedSafetyBench per-prompt forensic data

- medsafetybench_forensic_fidelity_distribution.csv - MedSafetyBench fidelity scores

- medsafetybench_forensic_governance_report.html - MedSafetyBench interactive visualization

- traces/session_medsafetybench_forensic_*.jsonl - MedSafetyBench JSONL governance event log

Validation Status:

This dataset demonstrates proof-of-concept validation of the TELOS governance methodology under '

black-box threat models. The healthcare PA and RAG corpus were constructed from authoritative public

domain sources (HIPAA Privacy Rule, HHS guidance, peer-reviewed clinical literature) but have not been

formally validated by external healthcare compliance professionals or clinical researchers. Results should

be interpreted as methodology demonstration, not certification for clinical deployment. See

ERRATA_v1.1.md for details.

License: Apache 2.0

Validation Date: Original validation 2024-12-21 (forensic audit added 2026-01-25, AILuminate/SB 243-

aligned validation added 2026-01)