cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29382752
title: U.S. National-Level Municipal Bond Market Statistics (SIFMA Aggregates)

description: This dataset compiles national-level municipal bond issuance and pricing statistics for the United States, sourced from the Securities Industry and Financial Markets Association (SIFMA). It includes time-series data on municipal bond issuance volumes, average yields, interest rates, and maturity structures, aggregated on a monthly and annual basis. The dataset provides critical macro-financial context for evaluating subnational debt trends, especially in the context of climate adaptation investments and fiscal resilience. In particular, it supports comparative analysis between local climate-related borrowing (e.g., FEMA-backed projects) and national municipal debt trends, serving as a benchmark for assessing changes in risk premiums, cost of capital, and investor behavior. This file was used to calibrate yield spreads in empirical models evaluating the market response to federally co-funded nature-based infrastructure.
DOI: 10.6084/m9.figshare.29382752.v1
title: U.S. National-Level Municipal Bond Market Statistics (SIFMA Aggregates)

description: This dataset compiles national-level municipal bond issuance and pricing statistics for the United States, sourced from the Securities Industry and Financial Markets Association (SIFMA). It includes time-series data on municipal bond issuance volumes, average yields, interest rates, and maturity structures, aggregated on a monthly and annual basis. The dataset provides critical macro-financial context for evaluating subnational debt trends, especially in the context of climate adaptation investments and fiscal resilience. In particular, it supports comparative analysis between local climate-related borrowing (e.g., FEMA-backed projects) and national municipal debt trends, serving as a benchmark for assessing changes in risk premiums, cost of capital, and investor behavior. This file was used to calibrate yield spreads in empirical models evaluating the market response to federally co-funded nature-based infrastructure.
DOI: 10.6084/m9.figshare.29383391
title: State-Level Socioeconomic Microdata for Fiscal Capacity Assessment (2022)

description: This data set is derived from the 2022 U.S. Census Public Use Microdata Sample (PUMS), which is intended for state-level variation of demographic, economic, and housing characteristics. This data can be employed for quantitative modeling of local adaptation potential and fiscal capacity for analysis of intergovernmental finance and resilience investment. This data encompasses variables of income, education, type of dwelling (owner or renter), and employment and can be employed for linking to climate and municipality-level datasets of finance for overall analysis of public spending capability and social vulnerability.
DOI: 10.6084/m9.figshare.29383511
title: Entity-Level Identifiers for U.S. State and Local Government Finance (2022)

description: This data set contains a comprehensive mapping of financial identification codes and their corresponding characteristics for public sector organizations reported in the U.S. Census Bureau’s 2022 Survey of State and Local Government Finances. This is a file of unit-level identifiers, classification variables, and data integration keys for matching against expenditure and revenue records. This data set is a primary resource for local government finance analysis, studies of fiscal federalism, and transparency of finances.
DOI: 10.6084/m9.figshare.29383577.v1
title: Aggregated Financial Line Items from U.S. State and Local Governments, Fiscal Year 2022

description: This data set consolidates line-item revenues, expenses, and debt burdens for U.S. state and local governments during the 2022 fiscal year. Extracted from standardized Census Bureau public finance surveys, the file can be used for macro-level analysis of public sector finance at the level of expenditure categories (such as education, utilities, public safety) and categories of revenue (such as taxes, intergovernmental transfers). The data set enables time comparisons and cross-jurisdiction analysis of public sector finance and can serve as a foundation resource for researchers and policymakers examining fiscal resilience, public investment trends, and intergovernmental budget relations.
DOI: 10.6084/m9.figshare.29382749.v1
title: Filtered FEMA Hazard Mitigation Projects Incorporating Nature-Based Solutions (NbS)

description: This data shows a filtered list of U.S. Federal Emergency Management Agency (FEMA) Hazard Mitigation Assistance (HMA) projects specially delineated as encompassing Nature-based Solutions (NbS). Retrieved and cleansed from the complete HMA project database, the data comprise core financial and administrative variables such as project amount, federal share obligated, project type, location (state and county), and year of installation. These projects were filtered through text-matching and classification criteria reflecting ecological resilience and green infrastructure features, such as wetland restoration, floodplain restoration, and living shoreline. Such a data set facilitates empirical investigation of cost-sharing practice, federal-local intergovernmental collaboration, and climate adaptation's fiscal architecture through NbS. This data was directly used for quantitative regression and distributional analyses of the federal cost-sharing premium of urban adaptation finance for NbS.<br><br>
DOI: 10.6084/m9.figshare.29382758
title: Daily Sovereign Bond Prices and Yields – Multi-Country Panel Dataset

description: This dataset contains high-frequency sovereign bond prices and yields across multiple maturities and countries, including Australia (AU) and the United States (US). The data spans several time points and includes detailed pricing for 1-month to 30-year government securities. This dataset enables macro-financial analysis of yield curve dynamics, monetary policy impacts, sovereign risk pricing, and cross-country bond market behavior. Originally used to contextualize U.S. municipal borrowing costs relative to national benchmarks, this data supports robust time-series econometric modeling.
DOI: 10.6084/m9.figshare.29382761.v1
title: U.S. Treasury Yield Curve Rates – Daily Panel Data

description: This data set contains the U.S. Treasury yield curve rates on a daily basis for a variety of maturities ranging from 1-month bills to 30-year bonds. Panel-formatted, it can be used for analyses of term structures of interest rates, forecasting of monetary policy, and time-series analysis of sovereign risk-free standards. It is especially appropriate for empirical applications of finance including bond pricing, cost of borrowing by municipalities, and macro-financial risk measurement.
DOI: 10.6084/m9.figshare.29382749
title: Filtered FEMA Hazard Mitigation Projects Incorporating Nature-Based Solutions (NbS)

description: This data shows a filtered list of U.S. Federal Emergency Management Agency (FEMA) Hazard Mitigation Assistance (HMA) projects specially delineated as encompassing Nature-based Solutions (NbS). Retrieved and cleansed from the complete HMA project database, the data comprise core financial and administrative variables such as project amount, federal share obligated, project type, location (state and county), and year of installation. These projects were filtered through text-matching and classification criteria reflecting ecological resilience and green infrastructure features, such as wetland restoration, floodplain restoration, and living shoreline. Such a data set facilitates empirical investigation of cost-sharing practice, federal-local intergovernmental collaboration, and climate adaptation's fiscal architecture through NbS. This data was directly used for quantitative regression and distributional analyses of the federal cost-sharing premium of urban adaptation finance for NbS.<br><br>
DOI: 10.6084/m9.figshare.29382758.v1
title: Daily Sovereign Bond Prices and Yields – Multi-Country Panel Dataset

description: This dataset contains high-frequency sovereign bond prices and yields across multiple maturities and countries, including Australia (AU) and the United States (US). The data spans several time points and includes detailed pricing for 1-month to 30-year government securities. This dataset enables macro-financial analysis of yield curve dynamics, monetary policy impacts, sovereign risk pricing, and cross-country bond market behavior. Originally used to contextualize U.S. municipal borrowing costs relative to national benchmarks, this data supports robust time-series econometric modeling.
DOI: 10.6084/m9.figshare.29382764.v1
title: FEMA Hazard Mitigation Assistance (HMA) Project Records – United States

description: This data set represents comprehensive project-level data for the Federal Emergency Management Agency (FEMA) Hazard Mitigation Assistance (HMA) programs. It represents key variables such as project identifiers, sources of funding, federally and non-federally funded shares obligated, kinds of hazards mitigated, geographic locations, and years of implementation. The data set serves a fundamental resource for tracking disaster risk reduction investment, cost-sharing for the federal and the local governments, and investment patterns of resilience for the whole United States.
DOI: 10.6084/m9.figshare.29382761
title: U.S. Treasury Yield Curve Rates – Daily Panel Data

description: This data set contains the U.S. Treasury yield curve rates on a daily basis for a variety of maturities ranging from 1-month bills to 30-year bonds. Panel-formatted, it can be used for analyses of term structures of interest rates, forecasting of monetary policy, and time-series analysis of sovereign risk-free standards. It is especially appropriate for empirical applications of finance including bond pricing, cost of borrowing by municipalities, and macro-financial risk measurement.
DOI: 10.6084/m9.figshare.29382764
title: FEMA Hazard Mitigation Assistance (HMA) Project Records – United States

description: This data set represents comprehensive project-level data for the Federal Emergency Management Agency (FEMA) Hazard Mitigation Assistance (HMA) programs. It represents key variables such as project identifiers, sources of funding, federally and non-federally funded shares obligated, kinds of hazards mitigated, geographic locations, and years of implementation. The data set serves a fundamental resource for tracking disaster risk reduction investment, cost-sharing for the federal and the local governments, and investment patterns of resilience for the whole United States.
DOI: 10.15468/dl.hx9y4g
title: Occurrence Download

description: A dataset containing 4412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Cinnyris notatus (Statius Muller, 1776)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 4412 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065500-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dansc9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euglena acus Ehrenb.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065501-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15102444
title: Localización y Monitoreo Satelital de Embarcaciones Pesqueras de México 2014-2024

description: Reportes de rutas de navegación de embarcaciones pesqueras

Metadatos




Campo
Valor


Fuente
http://www.conapesca.gob.mx


Email del publicador
gerardo.galicia@conapesca.gob.mx


Frecuencia
 R/P1M


GUID
 localizacion-y-monitoreo-satelital-de-embarcaciones-pesqueras


Idioma
es


Inicio del periodo temporal
2007-01-01T00:00:00Z


Final del periodo temporal
2024-12-31T00:00:00Z


Nombre del publicador
CONAPESCA


Notas de la versión
 Debido a la cantidad de registros los reportes mensuales, los archivos CSV están comprimidos en formato ZIP para su descarga ya que se divieron en 2 archivos, del 1 al 15 y 16 al 31 de cada mes.


Tema
 Geoespacial


Tipo del publicador
Director General de Inspección y Vigilancia


Espacio geográfico
Internacional




 

Diccionario de Datos



Nombre: Nombre de la embarcación

RNP: Registro Nacional de Pesca y Acuacultura de la embarcación

Descripción: Puerto base de la embarcación

Permisionario o concesionario: Nombre o Razón Social del permisionario o concesionario

Fecha: Fecha del reporte de posición

Latitud: Posición geográfica en relación al norte o sur expresada en grados decimales

Longitud: Posición geográfica en relación al este u oeste expresada en grados decimales

Velocidad: Velocidad de navegación en nudos

Rumbo: Rumbo de la navegación
description: Esta es la versión 0.1.0 porque es la primera vez que subimos estos datos.La fecha de publicación corresponde a la fecha en que descargamos los datos de la página de CONAPESCA
DOI: 10.5281/zenodo.15102445
title: Localización y Monitoreo Satelital de Embarcaciones Pesqueras de México 2014-2024

description: Reportes de rutas de navegación de embarcaciones pesqueras

Metadatos




Campo
Valor


Fuente
http://www.conapesca.gob.mx


Email del publicador
gerardo.galicia@conapesca.gob.mx


Frecuencia
 R/P1M


GUID
 localizacion-y-monitoreo-satelital-de-embarcaciones-pesqueras


Idioma
es


Inicio del periodo temporal
2007-01-01T00:00:00Z


Final del periodo temporal
2024-12-31T00:00:00Z


Nombre del publicador
CONAPESCA


Notas de la versión
 Debido a la cantidad de registros los reportes mensuales, los archivos CSV están comprimidos en formato ZIP para su descarga ya que se divieron en 2 archivos, del 1 al 15 y 16 al 31 de cada mes.


Tema
 Geoespacial


Tipo del publicador
Director General de Inspección y Vigilancia


Espacio geográfico
Internacional




 

Diccionario de Datos



Nombre: Nombre de la embarcación

RNP: Registro Nacional de Pesca y Acuacultura de la embarcación

Descripción: Puerto base de la embarcación

Permisionario o concesionario: Nombre o Razón Social del permisionario o concesionario

Fecha: Fecha del reporte de posición

Latitud: Posición geográfica en relación al norte o sur expresada en grados decimales

Longitud: Posición geográfica en relación al este u oeste expresada en grados decimales

Velocidad: Velocidad de navegación en nudos

Rumbo: Rumbo de la navegación
description: Esta es la versión 0.1.0 porque es la primera vez que subimos estos datos.La fecha de publicación corresponde a la fecha en que descargamos los datos de la página de CONAPESCA
DOI: 10.5281/zenodo.15723017
title: Leveraging LLMs for Enhanced Access and Retrieval of Governmental Information

description: Dataset: Leveraging LLMs for Enhanced Access and Retrieval of Governmental Information

Description

This dataset supports the study "Leveraging LLMs for Enhanced Access and Retrieval of Governmental Information" and contains annotated results from a series of experiments evaluating retrieval-augmented generation (RAG) pipelines over Spanish governmental documents, specifically the Boletín Oficial del Estado (BOE). It showcases how large language models (LLMs) perform across varying configurations when answering complex legal and administrative queries.

The dataset comprises 15 real-world questions spanning five topical categories—law, education, procedure, civil servants, and budgets—each tested under four different experimental setups that incrementally incorporate RAG enhancements such as hybrid search, chunking strategies, query reformulation, and prompt engineering.

Contents

Each row in the dataset corresponds to a unique question-instance and contains the following fields:





timestamp: Date and time when the experiment entry was recorded.




experiment: Identifier for the experiment configuration (0-4).




is_rag: Boolean indicating whether Retrieval-Augmented Generation (RAG) was used in the experiment.




question_id: Unique identifier for each evaluation question.




category_keyword: Thematic category (e.g., law, education) used to classify the question.


valid_answer: Boolean indicating whether the answer is actuallly valid based on manual review.



context_recall: RAGAS metric indicating the fraction of relevant context snippets present in the retrieved set, as judged by the LLM.




context_precision: RAGAS metric measuring the proportion of retrieved snippets that are actually useful to answer the question.




faithfulness: RAGAS metric quantifying the extent to which the generated answer is supported by the retrieved context (0–1 range).




answer_correctness: RAGAS metric comparing factual overlap and semantic similarity between the answer and a human-written reference.




answer_relevancy: RAGAS metric indicating how well the generated answer semantically matches the original user query.




context_length: Number of tokens in the retrieved context used to generate the answer.




user_input_es: The original user query in Spanish.




user_input_en: English translation of the user query.




response_es: Model-generated answer in Spanish.




response_en: English translation of the model-generated answer.




reference_es: Ground-truth (human-written) answer in Spanish.




reference_en: English translation of the ground-truth answer.




retrieved_contexts_es: List of Spanish context snippets retrieved by the RAG pipeline to answer the query.



Use

The dataset facilitates reproducibility of results, benchmarking of LLM-based RAG systems in legal NLP, and further research into improving question-answering over non-English governmental corpora.
DOI: 10.15468/dl.4nt9xa
title: Occurrence Download

description: A dataset containing 1491028 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Country is Peru",
 "Geometry POLYGON((-76.48683 -15.41129,-70.16063 -18.64497,-68.54683 -16.64033,-68.61307 -13.9136,-69.61634 -12.76976,-73.63281 -10.77933,-77.03813 -11.98522,-77.43476 -12.17304,-76.48683 -15.41129))",
 "OccurrenceStatus is Present",
 "Year 2020-2025"
 ]
}

 The dataset includes 1491028 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065483-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15722947
title: Qualitative Survey Results - Capturing Polyvocality of Cultural Heritage Events Through Crowdsourcing

description: This study aimed to gather diverse views on the Dutch colonization of Indonesia. The primary material was a qualitative survey, consisting of open-ended questions, designed to explore participants’ knowledge of Dutch colonial history, their perceptions of cultural heritage related to this period, and their views on incorporating multiple voices into historical narratives.
DOI: 10.5281/zenodo.15722948
title: Qualitative Survey Results - Capturing Polyvocality of Cultural Heritage Events Through Crowdsourcing

description: This study aimed to gather diverse views on the Dutch colonization of Indonesia. The primary material was a qualitative survey, consisting of open-ended questions, designed to explore participants’ knowledge of Dutch colonial history, their perceptions of cultural heritage related to this period, and their views on incorporating multiple voices into historical narratives.
DOI: 10.15468/dl.4nxdxe
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Cinnyris osea Bonaparte, 1856",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 56 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065502-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y5ua8h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euglena acus Ehrenb.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065503-250525065834625/datasets/export for details.
DOI: 10.15468/dl.qmsxy4
title: Occurrence Download

description: A dataset containing 183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Caledonia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tetraria comosa (C.B.Clarke) T.Koyama"
 ]
}

 The dataset includes 183 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065504-250525065834625/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.29383589
title: Dados avaliação cognitiva PC - teste

description: Dados representativos da avaliação de funções executivas (memória operacional) de crianças e adolescentes com paralisia cerebral, bem como avaliação de composição corporal e aptidão física. Dados criados para fins de teste.
DOI: 10.6084/m9.figshare.29383589.v1
title: Dados avaliação cognitiva PC - teste

description: Dados representativos da avaliação de funções executivas (memória operacional) de crianças e adolescentes com paralisia cerebral, bem como avaliação de composição corporal e aptidão física. Dados criados para fins de teste.
DOI: 10.15468/dl.tm865z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eunotia sudetica Otto Müller, 1898",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.0251 -31.3959,30.5701 -30.7329,30.5701 -28.5786,25.5395 -28.5786,25.5395 -32.9007,28.2048 -32.9007,28.5753 -32.6569,29.4902 -31.7517,30.0251 -31.3959))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065505-250525065834625/datasets/export for details.