cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xnc4yh4w72.1
title: Data for: Industry bubbles and unexpected consumption shocks: A cross-sectional explanation of stock returns under recursive preferences

description: We compile raw data from the Datastream database for all stocks traded on the Tokyo Stock Exchange. We use the filters suggested by Griffin et al. (2010) for Datastream series to exclude special purpose vehicles from data. Consequently, our sample comprises 3,866 stocks. We compile all macroeconomic series from the OECD Statistics section. Our dataset comprise the following series: 1 Japan_25_Portfolios_MV_PTBV_M: Monthly returns for 25 size-book-to-market equity portfolios, following the Fama and French (1993) methodology. 2 Japan_25_Portfolios_MV_DY_M: Monthly returns for 25 size-dividend yield portfolios, following the Fama and French (1993) methodology. 3 Japan_25_Portfolios_MV_PC_M: Monthly returns for 25 size-price-to-cash flow portfolios, following the Fama and French (1993) methodology. 4 Japan_3 Factors_M: Monthly returns for the portfolios that constitute the three classic Fama-French factors (RMRF, SMB and HML), following the Fama and French (1993) methodology. 5 Japan_5 Factors_M: Monthly returns for the portfolios that constitute the five Fama-French factors (RMRF, SMB, HML, RMW and CMA), following the Fama and French (2015) methodology. 6 Japan_RF_M: Three-month Treasury Bill rate for Japan. 7 Japan_C_Q: Private final consumption expenditure, in national currency and constant prices for Japan. 8 Japan_IK_Q: Investment-capital ratio, following the Cochrane (1991) methodology. We use gross capital formation series for Japan, in national currency, seasonally adjusted. We assume a depreciation rate of 0.1 and no adjustment cost. 9 Japan_DY_ConstrTech_M: Value-weighted dividend yield portfolios for Japanese firms in construction and technology industries, as proxied by two-digit SIC codes 15-17 and 36-48, respectively. 10 Japan_Bubbles_Q: Variation rates of construction and technology bubbles in Japan, as determined by a parameterized version of the bubble term in the Campbell and Shiller (1988) return identity, using the investment-capital ratio as an instrument. 11 Japan_Errors_Q: Residuals that result from the regression of consumption growth on the variation rate of construction and technology bubbles and the lagged consumption growth. REFERENCES: Campbell, J. Y., and Shiller, R. J. (1988). The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors, The Review of Financial Studies, 1, 195-228. Cochrane, J. H. (1991). Production-Based Asset Pricing and the Link Between Stock Returns and Economic Fluctuations, The Journal of Finance, 46, 209-237. Fama, E. F. and French, K. R. (1993). Common Risk Factors in the Returns on Stocks and Bonds, Journal of Financial Economics, 33, 3–56. Fama, E. F. and French, K. R. (2015). A Five-Factor Asset Pricing Model, Journal of Financial Economics, 116, 1-22. Griffin, J. M., Kelly, P., and Nardari, F. (2010). Do Market Efficiency Measures Yield Correct Inferences? A Comparison of Developed and Emerging Markets, Review of Financial Studies, 23, 3225–3277.
DOI: 10.17632/xnc4yh4w72.3
title: Data for: Industry bubbles and unexpected consumption shocks: A cross-sectional explanation of stock returns under recursive preferences

description: We compile raw data from the Datastream database for all stocks traded on the Tokyo Stock Exchange. We use the filters suggested by Griffin et al. (2010) for Datastream series to exclude special purpose vehicles from data. Consequently, our sample comprises 3,866 stocks. We compile all macroeconomic series from the OECD Statistics section. 

Our dataset comprise the following series:

1 Japan_25_Portfolios_MV_PTBV_M: Monthly returns for 25 size-book-to-market equity portfolios, following the Fama and French (1993) methodology.
2 Japan_25_Portfolios_MV_DY_M: Monthly returns for 25 size-dividend yield portfolios, following the Fama and French (1993) methodology.
3 Japan_25_Portfolios_MV_PC_M: Monthly returns for 25 size-price-to-cash flow portfolios, following the Fama and French (1993) methodology.
4 Japan_3 Factors_M: Monthly returns for the portfolios that constitute the three classic Fama-French factors (RMRF, SMB and HML), following the Fama and French (1993) methodology.
5 Japan_5 Factors_M: Monthly returns for the portfolios that constitute the five Fama-French factors (RMRF, SMB, HML, RMW and CMA), following the Fama and French (2015) methodology.
6 Japan_RF_M: Three-month Treasury Bill rate for Japan.
7 Japan_C_Q: Private final consumption expenditure, in national currency and constant prices for Japan.
8 Japan_IK_Q: Investment-capital ratio, following the Cochrane (1991) methodology. We use gross capital formation series for Japan, in national currency, seasonally adjusted. We assume a depreciation rate of 0.1 and no adjustment cost.
9 Japan_DY_ConstrTech_M: Value-weighted dividend yield portfolios for Japanese firms in construction and technology industries, as proxied by two-digit SIC codes 15-17 and 36-48, respectively.
10 Japan_Bubbles_Q: Variation rates of construction and technology bubbles in Japan, as determined by a parameterized version of the bubble term in the Campbell and Shiller (1988) return identity, using the investment-capital ratio as an instrument.
11 Japan_Errors_Q: Residuals that result from the regression of consumption growth on the variation rate of construction and technology bubbles and the lagged consumption growth.

REFERENCES:
Campbell, J. Y., and Shiller, R. J. (1988). The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors, The Review of Financial Studies, 1, 195-228.
Cochrane, J. H. (1991). Production-Based Asset Pricing and the Link Between Stock Returns and Economic Fluctuations, The Journal of Finance, 46, 209-237.
Fama, E. F. and French, K. R. (1993). Common Risk Factors in the Returns on Stocks and Bonds, Journal of Financial Economics, 33, 3–56.
Fama, E. F. and French, K. R. (2015). A Five-Factor Asset Pricing Model, Journal of Financial Economics, 116, 1-22.
Griffin, J. M., Kelly, P., and Nardari, F. (2010). Do Market Efficiency Measures Yield Correct Inferences? A Comparison of Developed and Emerging Markets, Review of Financial Studies, 23, 3225–3277.
DOI: 10.25422/azu.data.23748969.v1
title: Data from "What are the similarities and differences in marine boundary layer cloud and drizzle microphysical properties during the ACE-ENA and MARCUS field campaigns?"

description: Data used to generate figures and calculations for the publication "What are the similarities and differences in marine boundary layer cloud and drizzle microphysical properties during the ACE-ENA and MARCUS field campaigns?" This study investigates cloud and drizzle microphysics during the MARCUS field campaign in the Southern Ocean and the ACE-ENA field campaign in the Azores. This data is produced by a retrieval algorithm that decomposes cloud and drizzle vertical profiles observed by surface-based remote sensors.<b>Abstract:</b><br>This study compares macrophysical and microphysical properties of single-layered, liquid-dominant MBL clouds from the Measurements of Aerosols, Radiation, and Clouds over the Southern Ocean (MARCUS) (above 60°S) and the ARM East North Atlantic (ENA) site during the Aerosol and Cloud Experiments in Eastern North Atlantic (ACE-ENA) field campaign. A total of 1,136 (16.5% of clouds) and 6,034 5-min cloud samples are selected from MARCUS and ARM ENA in this study. MARCUS clouds have higher cloud-top heights, thicker cloud layers, larger liquid water path, and colder cloud temperatures than ENA. Thinner, warmer MBL clouds at ENA can contain higher layer-mean liquid water content due to higher cloud and ocean surface temperatures along with greater precipitable water vapor (PWV). MARCUS has a higher drizzle frequency rate (71.8%) than ENA (45.1%). Retrieved cloud and drizzle microphysical properties from each field campaign show key differences. MARCUS clouds feature smaller cloud droplets, whereas ENA clouds have larger cloud droplets, especially at the upper region of the cloud. From cloud top to cloud base, drizzle drop sizes increase while number concentrations decrease. Drizzle drop radius and number concentration decrease from cloud base to drizzle base due to net evaporation, and MARCUS’ lower specific humidity leads to a higher drizzle base than ENA. The broader surface pressure and lower tropospheric stability (LTS) distributions during MARCUS have demonstrated that there are different synoptic patterns for selected cases during MARCUS with less PWV, while ENA is dominated by high pressure systems with nearly doubled PWV.<br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.25422/azu.data.23748969
title: Data from "What are the similarities and differences in marine boundary layer cloud and drizzle microphysical properties during the ACE-ENA and MARCUS field campaigns?"

description: Data used to generate figures and calculations for the publication "What are the similarities and differences in marine boundary layer cloud and drizzle microphysical properties during the ACE-ENA and MARCUS field campaigns?" This study investigates cloud and drizzle microphysics during the MARCUS field campaign in the Southern Ocean and the ACE-ENA field campaign in the Azores. This data is produced by a retrieval algorithm that decomposes cloud and drizzle vertical profiles observed by surface-based remote sensors.<b>Abstract:</b><br>This study compares macrophysical and microphysical properties of single-layered, liquid-dominant MBL clouds from the Measurements of Aerosols, Radiation, and Clouds over the Southern Ocean (MARCUS) (above 60°S) and the ARM East North Atlantic (ENA) site during the Aerosol and Cloud Experiments in Eastern North Atlantic (ACE-ENA) field campaign. A total of 1,136 (16.5% of clouds) and 6,034 5-min cloud samples are selected from MARCUS and ARM ENA in this study. MARCUS clouds have higher cloud-top heights, thicker cloud layers, larger liquid water path, and colder cloud temperatures than ENA. Thinner, warmer MBL clouds at ENA can contain higher layer-mean liquid water content due to higher cloud and ocean surface temperatures along with greater precipitable water vapor (PWV). MARCUS has a higher drizzle frequency rate (71.8%) than ENA (45.1%). Retrieved cloud and drizzle microphysical properties from each field campaign show key differences. MARCUS clouds feature smaller cloud droplets, whereas ENA clouds have larger cloud droplets, especially at the upper region of the cloud. From cloud top to cloud base, drizzle drop sizes increase while number concentrations decrease. Drizzle drop radius and number concentration decrease from cloud base to drizzle base due to net evaporation, and MARCUS’ lower specific humidity leads to a higher drizzle base than ENA. The broader surface pressure and lower tropospheric stability (LTS) distributions during MARCUS have demonstrated that there are different synoptic patterns for selected cases during MARCUS with less PWV, while ENA is dominated by high pressure systems with nearly doubled PWV.<br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.5281/zenodo.8271773
title: Collectieve acties tijdens de algemene werkstakingen van 1902 en 1913 in Gent

description: Datasets opgesteld ter ondersteuning van mijn masterproef. Hierin maak ik een ruimtelijke vergelijking tussen de algemene werkstakingen van 1902 en 1913 in Gent. De data is afkomstig uit de Vooruit en Het Volk tussen 10 en 22 april 1902 en tussen 14 en 24 april 1913. Drie datasets zijn opgesteld: de verzameling van collectieve acties in de kranten van 1902, de verzameling van collectieve acties in de kranten van 1913 en de verzameling van plaatsen waar acties plaatsvonden, aangevuld met belangrijke locaties in de handen van Gentse socialistische en christelijke arbeidersbewegingen (aangeduid als socialistisch of antisocialistisch territorium). De datasets met collectieve acties bevatten de velden actievorm, deelnemende groep, ideologie, plaats, startuur, duur, startdatum, einddatum, toelichting, opmerkingen en bronnen. De dataset met plaatsen bevat de plaatsnaam, alternatieve namen, tot welk territorium het eventueel behoort, het locatietype, start- en einddatum, de coördinaten in GeoJSON formaat, opmerkingen en bronnen. Meer toelichting over de gegevenstypes is in de bijhorende documentatie te vinden.
description: {"references": ["Dubbele wegwyzer der stad Gent en der provincie Oost-Vlaenderen voor het jaar 1902, volume 40. Gent: Vander Haeghen, 1902.", "Dubbele wegwyzer der stad Gent en der provincie Oost-Vlaenderen voor het jaar 1913, volume 51. Gent: Vander Haeghen, 1913.", "Het Volk\u202f: katholiek sociaal dagblad. Gent: Anti-Socialistischen Werkliedenbond, 14.04.1913 \u2013 24.04.1913. KBR (DIGIT 785)", "Het Volk\u202f: katholiek sociaal dagblad. Gent: Anti-Socialistischen Werkliedenbond, 10.04.1902 \u2013 22.04.1902. KADOC (KYC78-MF)", "Vooruit. Gent: Samenwerkende Maatschappij Het Licht, 10.04.1902 \u2013 19.04.1902, 21.04.1902 \u2013 22.04.1902 en 14.04.1913 \u2013 24.04.1913. KBR (DIGIT 809)", "Vooruit. Gent: Samenwerkende Maatschappij Het Licht, 20.04.1902. https://lib.ugent.be/catalog/ser01:000168320", "Agentschap Onroerend Erfgoed. \"Inventaris Onroerend Erfgoed.\" inventaris.onroerenderfgoed.be, 2023.", "Ghent Center for Digital Humanities, \"Kaart Gent Gemapt,\" gentgemapt, 2023, https://kaart.gentgemapt.be/."]}
DOI: 10.5281/zenodo.8271772
title: Collectieve acties tijdens de algemene werkstakingen van 1902 en 1913 in Gent

description: Datasets opgesteld ter ondersteuning van mijn masterproef. Hierin maak ik een ruimtelijke vergelijking tussen de algemene werkstakingen van 1902 en 1913 in Gent. De data is afkomstig uit de Vooruit en Het Volk tussen 10 en 22 april 1902 en tussen 14 en 24 april 1913. Drie datasets zijn opgesteld: de verzameling van collectieve acties in de kranten van 1902, de verzameling van collectieve acties in de kranten van 1913 en de verzameling van plaatsen waar acties plaatsvonden, aangevuld met belangrijke locaties in de handen van Gentse socialistische en christelijke arbeidersbewegingen (aangeduid als socialistisch of antisocialistisch territorium). De datasets met collectieve acties bevatten de velden actievorm, deelnemende groep, ideologie, plaats, startuur, duur, startdatum, einddatum, toelichting, opmerkingen en bronnen. De dataset met plaatsen bevat de plaatsnaam, alternatieve namen, tot welk territorium het eventueel behoort, het locatietype, start- en einddatum, de coördinaten in GeoJSON formaat, opmerkingen en bronnen. Meer toelichting over de gegevenstypes is in de bijhorende documentatie te vinden.
description: {"references": ["Dubbele wegwyzer der stad Gent en der provincie Oost-Vlaenderen voor het jaar 1902, volume 40. Gent: Vander Haeghen, 1902.", "Dubbele wegwyzer der stad Gent en der provincie Oost-Vlaenderen voor het jaar 1913, volume 51. Gent: Vander Haeghen, 1913.", "Het Volk\u202f: katholiek sociaal dagblad. Gent: Anti-Socialistischen Werkliedenbond, 14.04.1913 \u2013 24.04.1913. KBR (DIGIT 785)", "Het Volk\u202f: katholiek sociaal dagblad. Gent: Anti-Socialistischen Werkliedenbond, 10.04.1902 \u2013 22.04.1902. KADOC (KYC78-MF)", "Vooruit. Gent: Samenwerkende Maatschappij Het Licht, 10.04.1902 \u2013 19.04.1902, 21.04.1902 \u2013 22.04.1902 en 14.04.1913 \u2013 24.04.1913. KBR (DIGIT 809)", "Vooruit. Gent: Samenwerkende Maatschappij Het Licht, 20.04.1902. https://lib.ugent.be/catalog/ser01:000168320", "Agentschap Onroerend Erfgoed. \"Inventaris Onroerend Erfgoed.\" inventaris.onroerenderfgoed.be, 2023.", "Ghent Center for Digital Humanities, \"Kaart Gent Gemapt,\" gentgemapt, 2023, https://kaart.gentgemapt.be/."]}
DOI: 10.23728/fmi-b2share.6cfb9e97b72648d6ad57f02c210fe042
title: Fluxes and plant diversity data in urban grasslands

description: Files that were used in Justine et al.'s manuscript, entitled ‘Lawns and meadows in urban green space - A comparison from greenhouse gas, drought resilience and biodiversity perspectives’. CO2, CH4 and N2O fluxes, C/N content in soil and plant diversity were measured in urban grasslands around Helsinki Metropolitan Area. Twelve of the sites (6 control lawns and 6 meadows) belong to the Lawns into Meadows experiment measured from 2020-2022, and provide crucial data (respiration, CH4 and N2O and plant diversity) about conversion from a lawn into a meadow. The 4 other sites includes a mesic meadow, a dry meadow, an irrigated lawn and a non-irrigated lawn, where respiration, GPP, green cover and plant diversity were recorded from 2021-2022.
DOI: 10.17632/9dvbntsmtv.1
title: MD trajectories to accompany "Dynamics of the mu-opioid receptor in complex with Gi protein"

description: System coordinates (gro files) and trajectory frames (xtc files) from plain molecular dynamics simulations of the mu-opioid receptor (MOR) embedded in a POPC membrane, surrounded by water and ions, coupled to the Gi protein with (closed) and without (open) GDP. gromacs-2021.3 was used to perform the simulations.
DOI: 10.6084/m9.figshare.24050199
title: <b>Assessing Physician Views of Video Health Encounters Completed through the U.S. Department of Veterans Affairs’ Video Connect (VVC) Application</b> .xlsx

description: quotes, codes, theme, and interviewee info for qualitative research
DOI: 10.6084/m9.figshare.24050199.v1
title: <b>Assessing Physician Views of Video Health Encounters Completed through the U.S. Department of Veterans Affairs’ Video Connect (VVC) Application</b> .xlsx

description: quotes, codes, theme, and interviewee info for qualitative research
DOI: 10.5281/zenodo.8297771
title: agroBRIDGES EIP-AGRI Practice Abstracts: A practical toolbox for SFSCs

description: The present dataset is a collection of the practice abstracts developed in the framework of the agroBRIDGES project, using the EIP-AGRI common format. The aim is to share project outputs so other actors of the agri-food sector can leverage on them and to see the main added value and benefits met by the end-users if the generated knowledge is implemented. agroBRIDGES Practice Abstracts are also published on the EIP-AGRI website and available at this <strong>link. </strong> The current (first) version of the present dataset contains 13 Practice Abstracts generated to to present the agroBRIDGES toolbox that encompasses a set of 12 practical tools for producers, farmers to develop and grow their business based on Short Food Supply Chains as well as other agri-food actors (retailers, wholesalers, distributors, public food procurers) to facilitate collaborations and awareness. The agroBRIDGES Toolbox contains 4 types of tools fully translated in 12 local languages: <strong>Communication material</strong> Know your local food Label me #WeNeedLocalFood Why am I special? Yes, you can! <strong>Digital spaces / tools:</strong> Decision Support Tool Hear my voice Net Smart Delivery <strong>Training material:</strong> Support for food procurement <strong>Event organisation material:</strong> Let's meet! Let' build our SFSC A Practice Abstract has been developed for the agroBRIDGES Toolbox and each of the 12 provided tools, using the standard EIP-AGRI Practice Abstract template. All Practice Abstracts are also supported in video format, also available in the agroBRIDGES Youtube channel.
DOI: 10.5281/zenodo.8297770
title: agroBRIDGES EIP-AGRI Practice Abstracts: A practical toolbox for SFSCs

description: The present dataset is a collection of the practice abstracts developed in the framework of the agroBRIDGES project, using the EIP-AGRI common format. The aim is to share project outputs so other actors of the agri-food sector can leverage on them and to see the main added value and benefits met by the end-users if the generated knowledge is implemented. agroBRIDGES Practice Abstracts are also published on the EIP-AGRI website and available at this <strong>link. </strong> The current (first) version of the present dataset contains 13 Practice Abstracts generated to to present the agroBRIDGES toolbox that encompasses a set of 12 practical tools for producers, farmers to develop and grow their business based on Short Food Supply Chains as well as other agri-food actors (retailers, wholesalers, distributors, public food procurers) to facilitate collaborations and awareness. The agroBRIDGES Toolbox contains 4 types of tools fully translated in 12 local languages: <strong>Communication material</strong> Know your local food Label me #WeNeedLocalFood Why am I special? Yes, you can! <strong>Digital spaces / tools:</strong> Decision Support Tool Hear my voice Net Smart Delivery <strong>Training material:</strong> Support for food procurement <strong>Event organisation material:</strong> Let's meet! Let' build our SFSC A Practice Abstract has been developed for the agroBRIDGES Toolbox and each of the 12 provided tools, using the standard EIP-AGRI Practice Abstract template. All Practice Abstracts are also supported in video format, also available in the agroBRIDGES Youtube channel.
DOI: 10.5281/zenodo.8087784
title: Subsurface redox interactions regulate ebullitive methane flux in heterogeneous Mississippi River deltaic wetland

description: This dataset is model outputs archive from a model study about 'Subsurface redox interactions regulate ebullitive methane flux in heterogeneous Mississippi River deltaic wetland' (manuscript is Under Review). Plotting scripts are also included in this data file. There are four model results. 'Ebull' model output are ebullition flux, 'Jswi' model output are diffusion flux across soil-water interface, and 'Methane' files are porewater concentration results in each soil layers, and 'LtranR' model outputs for redox species exchange rates across different soil layers. The model source codes can be found at https://zenodo.org/record/8084441 and https://zenodo.org/record/8087566.
DOI: 10.17632/tr7xbp2pyt.1
title: Antimicrobial Peptides Predicted from Omics Data of Cephalopods' Posterior Salivary Glands

description: This dataset compiles antimicrobial peptides (AMPs) consistently identified within omics data extracted from Cephalopods' Posterior Salivary Glands (PSG). It comprises consensus AMPs that were predicted across the 13 AMP datasets reported in (doi: 10.17632/wwk7zzcfhv.1). These latter datasets stemmed from agreed AMP predictions by three machine learning models on peptide libraries generated via 13 distinct in silico enzymatic digestion protocols applied to omics data extracted from Cephalopods' PSG (doi: 10.17632/6fjsdnvygb.1). This dataset holds promise as a potential reservoir of novel AMPs, suitable for further exploration and screening to uncover peptide candidates for drug development.
DOI: 10.5281/zenodo.8297847
title: Asymmetry of AMOC Hysteresis in a State-of-the-Art Global Climate Model

description: These directories contain Python (v3) scripts for plotting/analysing model output. Python scripts can be found in the directory 'Program'. Model output can be found in the directory 'Data'. The processed model output are stored as NETCDF files and using the relevant scripts one can regenerate all the figures. We provided the original model output (native grid) and is only converted to yearly-averaged data (due to storage limitations). Some scripts (e.g., FOV_index.py and AMOC_transport.py) use the original model output and running these script generates in the time series, which are presented in the manuscript.