cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e193215
title: Data and Code for: Happy Times - Measuring Happiness Using Response Times

description: Surveys measuring happiness or preferences generate discrete ordinal data. Ordered response models, which are used to analyze such data, suffer from an identification problem. Their conclusions depend on distributional assumptions about a latent variable. We propose using response times to solve that problem. Response times contain information about the distribution of the latent variable through a chronometric effect. Using an online survey experiment, we verify the chronometric effect. We then provide theoretical conditions for testing conventional distributional assumptions. These assumptions are rejected in some cases, but overall our evidence is consistent with the qualitative validity of the conventional models.<br>
description: Response Rates: We recruited 8,007 subjects on MTurk.
description: Presence of Common Scales: There were 6 standard socio-demographic questions (gender, age, education, marital status, co-residence with children, family income).<br><br>There were 7 substantive survey questions (job satisfaction, social life satisfaction, overall happiness, trust attitude, political attitude, time preference, risk preference) which were recorded on a Likert scale with 2 or 3 response catergories.<br><br>The exact phrasing of all questions and answer possibilities is described in Word files that are part of this replication package.
description: We initially restricted access to workers with an MTurk approval rate of at least 98%. Recruitment became slow after the first 5'976 subjects, at which point the approval requirement was reduced to 95%.
description: MTurk workers from the US with an MTurk approval rate of at least 95%. Smallest Geographic Unit: US
description: web-based survey;
DOI: 10.3886/e193215v1
title: Data and Code for: Happy Times - Measuring Happiness Using Response Times

description: Surveys measuring happiness or preferences generate discrete ordinal data. Ordered response models, which are used to analyze such data, suffer from an identification problem. Their conclusions depend on distributional assumptions about a latent variable. We propose using response times to solve that problem. Response times contain information about the distribution of the latent variable through a chronometric effect. Using an online survey experiment, we verify the chronometric effect. We then provide theoretical conditions for testing conventional distributional assumptions. These assumptions are rejected in some cases, but overall our evidence is consistent with the qualitative validity of the conventional models.<br>
description: Response Rates: We recruited 8,007 subjects on MTurk.
description: Presence of Common Scales: There were 6 standard socio-demographic questions (gender, age, education, marital status, co-residence with children, family income).<br><br>There were 7 substantive survey questions (job satisfaction, social life satisfaction, overall happiness, trust attitude, political attitude, time preference, risk preference) which were recorded on a Likert scale with 2 or 3 response catergories.<br><br>The exact phrasing of all questions and answer possibilities is described in Word files that are part of this replication package.
description: We initially restricted access to workers with an MTurk approval rate of at least 98%. Recruitment became slow after the first 5'976 subjects, at which point the approval requirement was reduced to 95%.
description: MTurk workers from the US with an MTurk approval rate of at least 95%. Smallest Geographic Unit: US
description: web-based survey;
DOI: 10.17028/rd.lboro.24614805
title: Supplementary information files for Sustainable energy recovery from mixed agri-food waste by hydrothermal carbonisation: Mechanistic evaluation of the evolution of product characteristics

description: © the authors CC-BY NC ND 4.0Supplementary information files for article Sustainable energy recovery from mixed agri-food waste by hydrothermal carbonisation: Mechanistic evaluation of the evolution of product characteristicsTo address aggravating climate concerns and enhance bioenergy production, mixed agri-food waste (MAFW) was upgrade into high quality solid biofuel using hydrothermal carbonisation (HTC), demonstrating the potential to convert low-quality biowaste into valuable bioenergy resource. The influence of reaction temperature (190–230 °C), residence time (1–5 h) and solid loading (5–20 %) on the evolution of hydrochar and process water (PW) characteristics were systematically investigated to gain mechanistic insight into the HTC process of MAFW. In addition, an assessment of the valorisation option(s) for MAFW PW was conducted to guide the development of a conceptual HTC-based biorefinery system for sustainable bioenergy production. Results demonstrated that high HTC reaction severity (increased reaction temperature and residence time) enhanced the fuel characteristics of the hydrochar except for nitrogen content, which increased by ⁓86 % at the most severe HTC operating condition. Furthermore, the concentration of organic compounds in the PW showed a significant decrease as the reaction severity increased, except for total phenol content which showed a consistent increase. Meanwhile, the concentration of organic compounds in the PW increased as the solid loading increased. Overall, MAFW PW is rich in organic matter but relatively low in nutrients. Based on the analysis of the hydrochar and PW characteristics at different HTC operating conditions, it was revealed that dehydration, decarboxylation, aromatisation and Maillard reaction constitute primary reaction mechanisms influencing the HTC conversion of MAFW. Although higher reaction severity yielded a high degree of coalification in MAFW hydrochar, a medium reaction severity was conducive for producing high-quality solid biofuel. Additionally, medium solid loading yielded ample solid yield and a moderate organic matter concentration in the PW. To efficiently valorise the MAFW PW, a multistage process involving the combination of wet oxidation, anaerobic digestion and nutrient recovery was proposed. The findings presented in this study offer valuable referential information for improving the fuel quality of hydrochar obtained from MAFW and guiding the development of a sustainable strategy to harness the energy potential of MAFW via HTC.
DOI: 10.17028/rd.lboro.24614805.v1
title: Supplementary information files for Sustainable energy recovery from mixed agri-food waste by hydrothermal carbonisation: Mechanistic evaluation of the evolution of product characteristics

description: © the authors CC-BY NC ND 4.0Supplementary information files for article Sustainable energy recovery from mixed agri-food waste by hydrothermal carbonisation: Mechanistic evaluation of the evolution of product characteristicsTo address aggravating climate concerns and enhance bioenergy production, mixed agri-food waste (MAFW) was upgrade into high quality solid biofuel using hydrothermal carbonisation (HTC), demonstrating the potential to convert low-quality biowaste into valuable bioenergy resource. The influence of reaction temperature (190–230 °C), residence time (1–5 h) and solid loading (5–20 %) on the evolution of hydrochar and process water (PW) characteristics were systematically investigated to gain mechanistic insight into the HTC process of MAFW. In addition, an assessment of the valorisation option(s) for MAFW PW was conducted to guide the development of a conceptual HTC-based biorefinery system for sustainable bioenergy production. Results demonstrated that high HTC reaction severity (increased reaction temperature and residence time) enhanced the fuel characteristics of the hydrochar except for nitrogen content, which increased by ⁓86 % at the most severe HTC operating condition. Furthermore, the concentration of organic compounds in the PW showed a significant decrease as the reaction severity increased, except for total phenol content which showed a consistent increase. Meanwhile, the concentration of organic compounds in the PW increased as the solid loading increased. Overall, MAFW PW is rich in organic matter but relatively low in nutrients. Based on the analysis of the hydrochar and PW characteristics at different HTC operating conditions, it was revealed that dehydration, decarboxylation, aromatisation and Maillard reaction constitute primary reaction mechanisms influencing the HTC conversion of MAFW. Although higher reaction severity yielded a high degree of coalification in MAFW hydrochar, a medium reaction severity was conducive for producing high-quality solid biofuel. Additionally, medium solid loading yielded ample solid yield and a moderate organic matter concentration in the PW. To efficiently valorise the MAFW PW, a multistage process involving the combination of wet oxidation, anaerobic digestion and nutrient recovery was proposed. The findings presented in this study offer valuable referential information for improving the fuel quality of hydrochar obtained from MAFW and guiding the development of a sustainable strategy to harness the energy potential of MAFW via HTC.
DOI: 10.3886/e184362v1
title: Data and Code for: Populist Leaders and the Economy

description: Populism at the country level is at an all-time high, with more than 25% of nations currently governed by populists. How do economies perform under populist leaders? We build a new long run crosscountry database to study the macroeconomic history of populism. We identify 51 populist presidents and prime ministers from 1900 to 2020 and show that the economic cost of populism is high. After 15 years, GDP per capita is 10% lower compared to a plausible non-populist counterfactual. Economic disintegration, decreasing macroeconomic stability, and the erosion of institutions typically go hand in hand with populist rule.
description: Political leaders in 60 countries between 1900 and 2020.
DOI: 10.25345/c5x05xp8s
title: MassIVE MSV000093461 - Data UHPLC_LCMS Raw Mangrove mangrove extract
title: Data acquired with UHPLC-LCMS/MS (QTOF) Water and Ethanol raw extract of mangrove species in Senegal
DOI: 10.3886/e192375v1
title: Data and Code for: America, Jump-started: World War II R&D and the Takeoff of the U.S. Innovation System

description: This replication package provides datasets and replication code to reproduce the figures and tables in the following article:<br><br>Gross, Daniel P. and Bhaven N. Sampat. “America, Jump-started: World War II R&D and the Takeoff of the U.S. Innovation System.” Forthcoming at American Economic Review.
description: Key datasets cover the universe of USPTO patents issued between 1920 and 1979, and the universe of patents which resulted from OSRD-funded research in World War II.
description: U.S. patents issued between 1920 and 1979<br>U.K. and French patents issued between 1920 and 1979<br>County x SIC industrial employment in 1980<br>County x SIC D&B company listings in 1980<br><br>.
description: This replication package includes data obtained from archival records of the Office of Scientific Research and Development (OSRD) at the U.S. National Archives and Records Administration (Record Group 227).
DOI: 10.25345/c5s756w41
title: MassIVE MSV000093462 - Proteomic Analysis of Senescent THP-1 Monocytes
title: directDIA-based identification of differentially expressed proteins between senescent and proliferating THP-1 monocytes in culture
DOI: 10.3886/e190101
title: Data and Code for: Who Benefits from State Corporate Tax Cuts? A Local Labor Market Approach with Heterogeneous Firms: Reply

description: This project provides data and code necessary for reproducing analysis presented in "Who Benefits from State Corporate Tax Cuts? A Local Labor Market Approach with Heterogeneous Firms: Reply."
DOI: 10.3886/e190101v1
title: Data and Code for: Who Benefits from State Corporate Tax Cuts? A Local Labor Market Approach with Heterogeneous Firms: Reply

description: This project provides data and code necessary for reproducing analysis presented in "Who Benefits from State Corporate Tax Cuts? A Local Labor Market Approach with Heterogeneous Firms: Reply."
DOI: 10.3886/e193641
title: Data and Code for: Taking It to the Limit: Effects of Increased Student Loan Availability on Attainment, Earnings, and Financial Well-Being

description: Growing reliance on student loans and repayment difficulties have raised concerns of a student debt crisis in the United States, but little is known about the effects of student borrowing on human capital and long-run financial well-being. We use variation induced by recent expansions in federal loan limits combined with administrative datasets to identify the effects of increased access to student loans on credit-constrained students’ educational attainment, earnings, debt, and loan repayment. Increased student loan availability raises student debt and improves degree completion, later-life earnings, and student loan repayment while having no effect on homeownership or other types of debt.<br>
DOI: 10.3886/e193641v1
title: Data and Code for: Taking It to the Limit: Effects of Increased Student Loan Availability on Attainment, Earnings, and Financial Well-Being

description: Growing reliance on student loans and repayment difficulties have raised concerns of a student debt crisis in the United States, but little is known about the effects of student borrowing on human capital and long-run financial well-being. We use variation induced by recent expansions in federal loan limits combined with administrative datasets to identify the effects of increased access to student loans on credit-constrained students’ educational attainment, earnings, debt, and loan repayment. Increased student loan availability raises student debt and improves degree completion, later-life earnings, and student loan repayment while having no effect on homeownership or other types of debt.<br>
DOI: 10.7284/153189
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise AR70-A using a Hawaii UHDAS instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153200
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise AR70-A using a SeaBird SBE-911+ instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153218
title: Flowmeter data collected during research cruise AR70-A using a Thiel Thiel Flowmeter instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153177
title: Fluorometer data collected during research cruise AR70-A using a WETLabs WETStar instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153181
title: GNSS (Global Navigation Satellite System) data collected during research cruise AR70-A using a CCTech C-Nav 3050 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153217
title: GNSS (Global Navigation Satellite System) data collected during research cruise AR70-A using a Kongsberg DPS112 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153216
title: INS (Inertial Navigation System) data collected during research cruise AR70-A using a Applanix POS/MV-320 V5 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153202
title: Meteorological Station data collected during research cruise AR70-A using a Vaisala WXT520 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153205
title: Meteorological Station data collected during research cruise AR70-A using a Vaisala WXT520 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153210
title: Multibeam Echosounder data collected during research cruise AR70-A using a Kongsberg EM710 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153223
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise AR70-A using a GeneralOceanics 8050 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153184
title: Radiometer data collected during research cruise AR70-A using a Eppley RAD instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153186
title: Radiometer data collected during research cruise AR70-A using a Biospherical QSR-2150 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153180
title: Singlebeam Echosounder data collected during research cruise AR70-A using a Knudsen 3260 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153219
title: Speedlog data collected during research cruise AR70-A using a Furuno DS-60 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153214
title: Splitbeam Echosounder data collected during research cruise AR70-A using a Kongsberg EK80 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153220
title: SSV (Sound Speed Velocimeter) data collected during research cruise AR70-A using a Valeport Thru-Hull SVS instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153207
title: Water Temperature data collected during research cruise AR70-A using a SeaBird SBE-48 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153221
title: Transmissometer data collected during research cruise AR70-A using a SeaBird C-Star instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153222
title: Transmissometer data collected during research cruise AR70-A using a SeaBird C-Star instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/153178
title: TSG (Thermosalinograph) data collected during research cruise AR70-A using a SeaBird SBE-45 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152775
title: Multiplexed data collected during research cruise AT50-03 using a WHOI dsLog instrument system onboard the platform RV Atlantis

description: Processed data created by vessel technician during a Field_expedition
DOI: 10.7284/152773
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise AT50-03 using a Hawaii UHDAS instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152776
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise AT50-03 using a SeaBird SBE-911+ instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152783
title: Flowmeter data collected during research cruise AT50-03 using a Thiel Thiel Flowmeter instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152777
title: Fluorometer data collected during research cruise AT50-03 using a WETLabs WETStar instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152772
title: GNSS (Global Navigation Satellite System) data collected during research cruise AT50-03 using a CCTech C-Nav 3050 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152774
title: Gravimeter data collected during research cruise AT50-03 using a Bell BGM-3 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152789
title: Gravimeter data collected during research cruise AT50-03 using a DgS AT1M instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152784
title: INS (Inertial Navigation System) data collected during research cruise AT50-03 using a iXblue Phins Surface instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152778
title: Meteorological Station data collected during research cruise AT50-03 using a Vaisala WXT520 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152779
title: Meteorological Station data collected during research cruise AT50-03 using a Vaisala WXT520 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152785
title: Multibeam Echosounder data collected during research cruise AT50-03 using a Kongsberg EM124 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152786
title: Multibeam Echosounder data collected during research cruise AT50-03 using a Kongsberg EM124 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152782
title: Radiometer data collected during research cruise AT50-03 using a Eppley RAD instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152787
title: Speedlog data collected during research cruise AT50-03 using a Furuno DS-60 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152788
title: Splitbeam Echosounder data collected during research cruise AT50-03 using a Kongsberg EK80 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152780
title: Water Temperature data collected during research cruise AT50-03 using a SeaBird SBE-48 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152781
title: TSG (Thermosalinograph) data collected during research cruise AT50-03 using a SeaBird SBE-45 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.10196096
title: Dataset and code for the publication "From Unstructured Product Descriptions to Structured Data for Industry 4.0 with ChatGPT"

description: This is the code as well as the dataset for our publication "From Unstructured Product Descriptions to Structured Data for Industry 4.0 with ChatGPT".
Please see the README.md for more information.
DOI: 10.5281/zenodo.10196101
title: SAMI3 Density for 20200401

description: SAMI3 model density output for 20200401. 
This file was used as ionospheric truth in ANCHOR paper.