cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14075771
title: Apartamentos en venta en la delegación Benito Juárez, Ciudad de México

description: Este dataset contiene información sobre apartamentos en venta en la delegación Benito Juárez en Ciudad de México en el año 2024. Incluye datos como el precio, la ubicación (estado y ciudad), el tipo de propiedad (casa, departamento, terreno, oficina, etc.), y otras características, como superficie y número de habitaciones. 

Este conjunto de datos es ideal para comprender el comportamiento del mercado inmobiliario y las variaciones de precios en diferentes localidades mexicanas.
DOI: 10.15468/dl.j79bjc
title: Occurrence Download

description: A dataset containing 2440372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than 50000",
 "Year is 2022",
 "DecimalLongitude is greater than or equal to 7.0",
 "DecimalLongitude is less than or equal to 15.5",
 "DecimalLatitude is greater than or equal to 54.5",
 "DecimalLatitude is less than or equal to 58.0"
 ]
}

 The dataset includes 2440372 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008096-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uc4g7h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Troglodytes troglodytes (Linnaeus, 1758)",
 "Year is 49",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008126-241107131044228/datasets/export for details.
DOI: 10.15468/dl.57smd4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dendrocopos major (Linnaeus, 1758)",
 "Year is 49",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008127-241107131044228/datasets/export for details.
DOI: 10.5258/soton/d2308
title: Dataset supporting the University of Southampton Doctoral Thesis "Rapid point-of-care testing solutions to meet clinical needs"

description: Dataset supporting the University of Southampton Doctoral Thesis "Rapid point-of-care testing solutions to meet clinical needs".
Dataset consists of Graphpad Prism files and jpg files
DOI: 10.15468/dl.hq56tp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apus apus (Linnaeus, 1758)",
 "Year is 49",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008128-241107131044228/datasets/export for details.
DOI: 10.7274/25607790
title: Essays in Monetary Policy

description: This dissertation examines the complex interplay between monetary policy and economic dynamics across three pivotal essays, each focusing on distinct aspects of monetary policy's influence on labor markets, inflationary expectations, and the production sector's extensive margin.

The first chapter analyzes the varied effects of unexpected expansionary monetary policy shocks on high- and low-skilled workers using a New Keynesian DSGE model with asymmetric search and matching frictions. The findings show that unemployment rates for low-skilled workers are more sensitive to these shocks, while high-skilled workers recover faster. This underscores the importance of considering labor skill heterogeneity in devising optimal monetary policies, particularly regarding their effects on consumption, unemployment, and wage dynamics across skill levels.

The second chapter assesses the impact of the Federal Reserve's August 2020 policy framework revision on inflation, employing a representative agent New Keynesian model. Simulations of inflationary shocks under different policy rules indicate that a rule combining asymmetric output growth responses and average inflation targeting initially raises inflation more than the standard Taylor rule but stabilizes it more effectively in the medium term.

The third chapter explores how monetary policy influences the extensive margin of the production sector, specifically how changes in borrowing costs affect firm entry by productivity levels. Using a New Keynesian model that includes Hopenhayn's entry and exit framework, the study finds that while monetary policy reduces borrowing costs and modifies the equity-bond trade-off to facilitate firm entry, it may also inadvertently attract less efficient firms, thereby potentially neutralizing initial output gains.

These chapters collectively contribute to the understanding of the diverse effects of monetary policy on the economy, emphasizing the crucial roles of labor market frictions, inflation targeting, and borrowing costs. This analysis not only advances the existing literature but also provides important insights for policymakers striving to balance economic stability and growth.
DOI: 10.7274/25607790.v1
title: Essays in Monetary Policy

description: This dissertation examines the complex interplay between monetary policy and economic dynamics across three pivotal essays, each focusing on distinct aspects of monetary policy's influence on labor markets, inflationary expectations, and the production sector's extensive margin.

The first chapter analyzes the varied effects of unexpected expansionary monetary policy shocks on high- and low-skilled workers using a New Keynesian DSGE model with asymmetric search and matching frictions. The findings show that unemployment rates for low-skilled workers are more sensitive to these shocks, while high-skilled workers recover faster. This underscores the importance of considering labor skill heterogeneity in devising optimal monetary policies, particularly regarding their effects on consumption, unemployment, and wage dynamics across skill levels.

The second chapter assesses the impact of the Federal Reserve's August 2020 policy framework revision on inflation, employing a representative agent New Keynesian model. Simulations of inflationary shocks under different policy rules indicate that a rule combining asymmetric output growth responses and average inflation targeting initially raises inflation more than the standard Taylor rule but stabilizes it more effectively in the medium term.

The third chapter explores how monetary policy influences the extensive margin of the production sector, specifically how changes in borrowing costs affect firm entry by productivity levels. Using a New Keynesian model that includes Hopenhayn's entry and exit framework, the study finds that while monetary policy reduces borrowing costs and modifies the equity-bond trade-off to facilitate firm entry, it may also inadvertently attract less efficient firms, thereby potentially neutralizing initial output gains.

These chapters collectively contribute to the understanding of the diverse effects of monetary policy on the economy, emphasizing the crucial roles of labor market frictions, inflation targeting, and borrowing costs. This analysis not only advances the existing literature but also provides important insights for policymakers striving to balance economic stability and growth.
DOI: 10.7274/25608516
title: Essays in Climate Economics

description: Climate change is one of the greatest threats faced by human beings. This dissertation examines the policies that can be used to alleviate the negative impacts of climate change through mitigation and adaptation. In the first chapter, the author studies the effectiveness of subsidies as an alternative to carbon taxes in reducing carbon emissions using a quantitative climate economy model. In the second chapter, the author develops a North-South Integrated Assessment Model (IAM) with agriculture and non-agriculture sectors, incorporating international trade, and proposes a price-adjusted integrated approach to assess the welfare impacts of climate change. The third chapter develops a stylized model that includes an agricultural sector and international trade to study the optimal strategy for using public investments to adapt to climate change in the agriculture sector.
DOI: 10.7274/25608516.v1
title: Essays in Climate Economics

description: Climate change is one of the greatest threats faced by human beings. This dissertation examines the policies that can be used to alleviate the negative impacts of climate change through mitigation and adaptation. In the first chapter, the author studies the effectiveness of subsidies as an alternative to carbon taxes in reducing carbon emissions using a quantitative climate economy model. In the second chapter, the author develops a North-South Integrated Assessment Model (IAM) with agriculture and non-agriculture sectors, incorporating international trade, and proposes a price-adjusted integrated approach to assess the welfare impacts of climate change. The third chapter develops a stylized model that includes an agricultural sector and international trade to study the optimal strategy for using public investments to adapt to climate change in the agriculture sector.
DOI: 10.7274/25621731
title: Public Investments, Private Investments, and Structural Transformation

description: In low-income economies, fostering the development of the private sector is essential for reducing poverty. However, these economies often exhibit a scarcity of private enterprises and limited entrepreneurial activities. Despite the critical importance of private sector growth, there is limited understanding of effective measures to stimulate it. This dissertation investigates two potential catalysts for private sector growth and structural transformation: 1) public investments in infrastructure, specifically roads and electricity, and 2) private investments from external regions. In Chapter 1, using unique firm-level data, I explore the complementary effects of public investments in roads and electricity on firm creation, shedding light on how infrastructure investments can stimulate entrepreneurial activities. Chapter 2 develops a regional trade model and draws on evidence from China and India to analyze the impact of road improvements on business activities. The findings underscore the crucial role of labor mobility from the agricultural sector to the non-agricultural sector in shaping structural transformation. Lastly, Chapter 3 investigates the impact of private investments from foreign regions on local entrepreneurial activities, providing insights into how external investments can influence local business dynamics. By analyzing these measures, this dissertation contributes to our understanding of the mechanisms through which public and private investments can foster private sector growth and drive structural transformation in low-income economies.
DOI: 10.7274/25621731.v1
title: Public Investments, Private Investments, and Structural Transformation

description: In low-income economies, fostering the development of the private sector is essential for reducing poverty. However, these economies often exhibit a scarcity of private enterprises and limited entrepreneurial activities. Despite the critical importance of private sector growth, there is limited understanding of effective measures to stimulate it. This dissertation investigates two potential catalysts for private sector growth and structural transformation: 1) public investments in infrastructure, specifically roads and electricity, and 2) private investments from external regions. In Chapter 1, using unique firm-level data, I explore the complementary effects of public investments in roads and electricity on firm creation, shedding light on how infrastructure investments can stimulate entrepreneurial activities. Chapter 2 develops a regional trade model and draws on evidence from China and India to analyze the impact of road improvements on business activities. The findings underscore the crucial role of labor mobility from the agricultural sector to the non-agricultural sector in shaping structural transformation. Lastly, Chapter 3 investigates the impact of private investments from foreign regions on local entrepreneurial activities, providing insights into how external investments can influence local business dynamics. By analyzing these measures, this dissertation contributes to our understanding of the mechanisms through which public and private investments can foster private sector growth and drive structural transformation in low-income economies.
DOI: 10.7274/26132884
title: Understanding Macroeconomic Dynamics: Big-Data Forecasting and the Effects of Oil Price Shocks

description: This dissertation comprises three chapters. The first chapter compares macroeconomic forecasts of various machine learning models. The subsequent two chapters evaluate the response of unemployment and monetary policy to various oil price shocks.

The first chapter evaluates the performance of an extensive set of machine learning algorithms in forecasting macroeconomic variables relative to benchmark econometric models. We conduct a pseudo-out-of-sample forecast for fifteen real, nominal, and financial variables. Machine learning models outperform the benchmark in forecasting real variables, attributed to their ability to handle nonlinearities, but perform worse in forecasting nominal and financial variables. They beat the benchmark during high volatility episodes, like recessions and the COVID-19 pandemic. Dimension reduction models frequently appear in the top five most accurate models for real variables, especially at longer horizons.

In the second chapter, we utilize local projections to investigate the impact of structural oil price shocks on unemployment rates and spells across the United States, emphasizing both national and state-level variations. Oil supply shocks lead to long-run increases in the national unemployment rate, incidence, and short-term unemployment. In contrast, economic activity shocks reduce all unemployment rates and spells, especially in oil-producing states. Consumption demand shocks have minimal impact on unemployment rates and durations, while inventory demand shocks show only temporary effects on durations.

The third chapter uses local projections to investigate the macroeconomic and monetary policy responses to adverse oil supply shocks. The Federal Reserve raises interest rates twice: on impact and ten months after the shock to counter ongoing high inflation. A net oil exporter, Canada raises interest rates sharply in response to the shock to counter inflation. Switzerland initially maintains steady interest rates to prevent Swiss Franc appreciation, followed by gradual rate increases to manage inflation as the exchange rate stabilizes. Despite these efforts, inflation remains high in Switzerland.
DOI: 10.7274/26132884.v1
title: Understanding Macroeconomic Dynamics: Big-Data Forecasting and the Effects of Oil Price Shocks

description: This dissertation comprises three chapters. The first chapter compares macroeconomic forecasts of various machine learning models. The subsequent two chapters evaluate the response of unemployment and monetary policy to various oil price shocks.

The first chapter evaluates the performance of an extensive set of machine learning algorithms in forecasting macroeconomic variables relative to benchmark econometric models. We conduct a pseudo-out-of-sample forecast for fifteen real, nominal, and financial variables. Machine learning models outperform the benchmark in forecasting real variables, attributed to their ability to handle nonlinearities, but perform worse in forecasting nominal and financial variables. They beat the benchmark during high volatility episodes, like recessions and the COVID-19 pandemic. Dimension reduction models frequently appear in the top five most accurate models for real variables, especially at longer horizons.

In the second chapter, we utilize local projections to investigate the impact of structural oil price shocks on unemployment rates and spells across the United States, emphasizing both national and state-level variations. Oil supply shocks lead to long-run increases in the national unemployment rate, incidence, and short-term unemployment. In contrast, economic activity shocks reduce all unemployment rates and spells, especially in oil-producing states. Consumption demand shocks have minimal impact on unemployment rates and durations, while inventory demand shocks show only temporary effects on durations.

The third chapter uses local projections to investigate the macroeconomic and monetary policy responses to adverse oil supply shocks. The Federal Reserve raises interest rates twice: on impact and ten months after the shock to counter ongoing high inflation. A net oil exporter, Canada raises interest rates sharply in response to the shock to counter inflation. Switzerland initially maintains steady interest rates to prevent Swiss Franc appreciation, followed by gradual rate increases to manage inflation as the exchange rate stabilizes. Despite these efforts, inflation remains high in Switzerland.
DOI: 10.15468/dl.va2dk6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haematopus ostralegus Linnaeus, 1758",
 "Year is 49",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008129-241107131044228/datasets/export for details.
DOI: 10.15468/dl.8sfn32
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vanessa atalanta (Linnaeus, 1758)",
 "Year is 49",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008130-241107131044228/datasets/export for details.
DOI: 10.5281/zenodo.8022039
title: Reproduction package for "Revisiting the reproducibility of empirical software engineering studies based on data retrieved from development repositories"

description: Reproduction package for "Revisiting the reproducibility of empirical software engineering studies based on data retrieved from development repositories", published in Information and Software Technology, Volume 164, December 2023. DOI: https://doi.org/10.1016/j.infsof.2023.107318
DOI: 10.5281/zenodo.8022040
title: Reproduction package for "Revisiting the reproducibility of empirical software engineering studies based on data retrieved from development repositories"

description: Reproduction package for "Revisiting the reproducibility of empirical software engineering studies based on data retrieved from development repositories", published in Information and Software Technology, Volume 164, December 2023. DOI: https://doi.org/10.1016/j.infsof.2023.107318
DOI: 10.15468/dl.c2k342
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polyommatus icarus (von Rottemburg, 1775)",
 "Year is 49",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008131-241107131044228/datasets/export for details.
DOI: 10.15468/dl.qbkcex
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelophylax esculentus (Linnaeus, 1758)",
 "Year is 49",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008132-241107131044228/datasets/export for details.
DOI: 10.5281/zenodo.14052282
title: Proof minimization formulas dataset

description: The collection of formulas used for the experimental evaluation in "How to discover short, shorter, and the shortest proofs of unsatisfiability: a branch-and-bound approach for resolution proof length minimization."

Directory structure:



full: synthetic formulas, including the random 3-CNFs, random graph coloring, and SMUs from Peitl & Szeider (2021).

small and small-opt: collections with the same structure but smaller and without the SMUs; small-opt additionally excludes everything except 3-CNFs.

proofmin-sat-competition-2002: a subset of unsatisfiable SAT Competition 2002 formulas solved within 15 seconds with an addition of their subsets produced by MUSer2.
DOI: 10.5281/zenodo.14052283
title: Proof minimization formulas dataset

description: The collection of formulas used for the experimental evaluation in "How to discover short, shorter, and the shortest proofs of unsatisfiability: a branch-and-bound approach for resolution proof length minimization."

Directory structure:



full: synthetic formulas, including the random 3-CNFs, random graph coloring, and SMUs from Peitl & Szeider (2021).

small and small-opt: collections with the same structure but smaller and without the SMUs; small-opt additionally excludes everything except 3-CNFs.

proofmin-sat-competition-2002: a subset of unsatisfiable SAT Competition 2002 formulas solved within 15 seconds with an addition of their subsets produced by MUSer2.
DOI: 10.15468/dl.qq7s7s
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-76.515 7.347,-74.781 7.347,-74.781 9.448,-76.515 9.448,-76.515 7.347))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Alouatta seniculus (Linnaeus, 1766)"
 ]
}

 The dataset includes 138 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008133-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sfxgy5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lissotriton vulgaris (Linnaeus, 1758)",
 "Year is 49",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008134-241107131044228/datasets/export for details.
DOI: 10.6084/m9.figshare.25583409
title: <b>Understanding and predicting infection dynamics for an endangered amphibian using long-term surveys of wild and translocated frogs</b>

description: Dataset associated with "<b>Understanding and predicting infection dynamics for an endangered amphibian using long-term surveys of wild and translocated frogs</b>"
DOI: 10.6084/m9.figshare.25583409.v2
title: <b>Understanding and predicting infection dynamics for an endangered amphibian using long-term surveys of wild and translocated frogs</b>

description: Dataset associated with "<b>Understanding and predicting infection dynamics for an endangered amphibian using long-term surveys of wild and translocated frogs</b>"
DOI: 10.6084/m9.figshare.25583409.v1
title: <b>Understanding and predicting disease dynamics for an endangered amphibian using long-term surveys of wild and translocated frogs</b>

description: Dataset associated with "<b>Understanding and predicting disease dynamics for an endangered amphibian using long-term surveys of wild and translocated frogs</b>"