cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8188033
title: Eddy Covariance and Agronomical Meta Data Set from a Two Year Agroecosystem Site (RNG5)

description: Dataset of soil, plant, forage, agronomical and eddy flux data from two years of commercial bioenergy feedstock production in Arkansas funded under the DOE ARPA-E SMARTFARM program in Phase I. Data set is provided to restricted users only. Data sets include 2 years of all 30 minute interval data. Full data sets will be published through Ameriflux at https://ameriflux.lbl.gov/ starting August 12, 2022, with annual updates thereafter. Some data, such as methane and nitrous oxide are embargoed. This work was funded through the U.S. Department of Energy, ARPA-E, under Cooperative Agreement DE-AR0001228 led by ARVA Intelligence Corp. (https://www.arvaintelligence.com) in collaboration with Lawrence Berkeley National Laboratory (LBNL).
DOI: 10.5281/zenodo.8188509
title: Eddy Covariance and Agronomical Meta Data Set from a Two Year Agroecosystem Site (RNG4)

description: Dataset of soil, plant, forage, agronomical and eddy flux data from two years of commercial bioenergy feedstock production in California funded under the DOE ARPA-E SMARTFARM program in Phase I. Data set is provided to restricted users only. Data sets include 2 years of all 30 minute interval data. Full data sets will be published through Ameriflux at https://ameriflux.lbl.gov/ starting August 12, 2022, with annual updates thereafter. Some data, such as methane and nitrous oxide are embargoed. This work was funded through the U.S. Department of Energy, ARPA-E, under Cooperative Agreement DE-AR0001228 led by ARVA Intelligence Corp. (https://www.arvaintelligence.com) in collaboration with Lawrence Berkeley National Laboratory (LBNL).
DOI: 10.5281/zenodo.8188039
title: Eddy Covariance and Agronomical Meta Data Set from a Two Year Agroecosystem Site (RNG3)

description: Dataset of soil, plant, forage, agronomical and eddy flux data from two years of commercial bioenergy feedstock production in California funded under the DOE ARPA-E SMARTFARM program in Phase I. Data set is provided to restricted users only. Data sets include 2 years of all 30 minute interval data. Full data sets will be published through Ameriflux at https://ameriflux.lbl.gov/ starting August 12, 2022, with annual updates thereafter. Some data, such as methane and nitrous oxide are embargoed. This work was funded through the U.S. Department of Energy, ARPA-E, under Cooperative Agreement DE-AR0001228 led by ARVA Intelligence Corp. (https://www.arvaintelligence.com) in collaboration with Lawrence Berkeley National Laboratory (LBNL).
DOI: 10.5281/zenodo.8188019
title: Eddy Covariance and Agronomical Meta Data Set from a Two Year Agroecosystem Site (RNG2)

description: Dataset of soil, plant, forage, agronomical and eddy flux data from two years of commercial bioenergy feedstock production in Arkansas funded under the DOE ARPA-E SMARTFARM program in Phase I. Data set is provided to restricted users only. Data sets include 2 years of all 30 minute interval data. Full data sets will be published through Ameriflux at https://ameriflux.lbl.gov/ starting August 12, 2022, with annual updates thereafter. Some data, such as methane and nitrous oxide are embargoed. This work was funded through the U.S. Department of Energy, ARPA-E, under Cooperative Agreement DE-AR0001228 led by ARVA Intelligence Corp. (https://www.arvaintelligence.com) in collaboration with Lawrence Berkeley National Laboratory (LBNL).
DOI: 10.5281/zenodo.8188027
title: Eddy Covariance and Agronomical Meta Data Set from a Two Year Agroecosystem Site (RNG1)

description: Dataset of soil, plant, forage, agronomical and eddy flux data from two years of commercial bioenergy feedstock production in California funded under the DOE ARPA-E SMARTFARM program in Phase I. Data set is provided to restricted users only. Data sets include 2 years of all 30 minute interval data. Full data sets will be published through Ameriflux at https://ameriflux.lbl.gov/ starting August 12, 2022, with annual updates thereafter. Some data, such as methane and nitrous oxide are embargoed. This work was funded through the U.S. Department of Energy, ARPA-E, under Cooperative Agreement DE-AR0001228 led by ARVA Intelligence Corp. (https://www.arvaintelligence.com) in collaboration with Lawrence Berkeley National Laboratory (LBNL).
DOI: 10.5281/zenodo.7986228
title: WRF simulation data

description: We investigated the effect of a (non-)scale-aware convective parameterization scheme on simulations of heavy rainfall events in Korea. This file contains WRF simulation data of 48-hour accumlated precipitation used in this paper. The spatial domain is 4x4 km (D03) and the format is NetCDF. In addition, The hourly precipitation data recorded at the Automated Synoptic Observing Systems (ASOS) of the Korea Meteorological Administration (KMA), which was used to select cases, is contained (2001-2020).
DOI: 10.5281/zenodo.7986229
title: WRF simulation data

description: We investigated the effect of a (non-)scale-aware convective parameterization scheme on simulations of heavy rainfall events in Korea. This file contains WRF simulation data of 48-hour accumlated precipitation used in this paper. The spatial domain is 4x4 km (D03) and the format is NetCDF.
DOI: 10.3886/e193121
title: ECIN Replication Package for "Pandemic Containment and Inequality in a Developing Economy"

description: Using high frequency individual-level panel data from India, we show that income inequality, measured as the ratio of high-skilled to low-skilled income, increased sharply following the imposition of lockdown triggered by COVID-19. To explain this fact, we integrate a canonical SIRD epidemiological model into a general equilibrium framework with high-skilled and low-skilled workers, each choosing to work either from their work locations (onsite) or from their homes (remote). Onsite and remote labour are imperfect substitutes, but more substitutable for high-skilled relative to low-skilled workers. Upon introducing the containment policies calibrated to match the Indian experience, our model can explain between 24 and 59 percent of the observed increase in inequality. We also find that there is a higher incidence of infections among the low-skilled workers as they optimally choose to work more onsite compared to their high-skilled counterparts. Implementing direct transfers for low-skilled workers reverses this increase in inequality and improves the effectiveness of the containment policies.
DOI: 10.3886/e193121v1
title: ECIN Replication Package for "Pandemic Containment and Inequality in a Developing Economy"

description: Using high frequency individual-level panel data from India, we show that income inequality, measured as the ratio of high-skilled to low-skilled income, increased sharply following the imposition of lockdown triggered by COVID-19. To explain this fact, we integrate a canonical SIRD epidemiological model into a general equilibrium framework with high-skilled and low-skilled workers, each choosing to work either from their work locations (onsite) or from their homes (remote). Onsite and remote labour are imperfect substitutes, but more substitutable for high-skilled relative to low-skilled workers. Upon introducing the containment policies calibrated to match the Indian experience, our model can explain between 24 and 59 percent of the observed increase in inequality. We also find that there is a higher incidence of infections among the low-skilled workers as they optimally choose to work more onsite compared to their high-skilled counterparts. Implementing direct transfers for low-skilled workers reverses this increase in inequality and improves the effectiveness of the containment policies.
DOI: 10.3886/e193121v2
title: ECIN Replication Package for "Pandemic Containment and Inequality in a Developing Economy"

description: Using high frequency individual-level panel data from India, we show that income inequality, measured as the ratio of high-skilled to low-skilled income, increased sharply following the imposition of lockdown triggered by COVID-19. To explain this fact, we integrate a canonical SIRD epidemiological model into a general equilibrium framework with high-skilled and low-skilled workers, each choosing to work either from their work locations (onsite) or from their homes (remote). Onsite and remote labour are imperfect substitutes, but more substitutable for high-skilled relative to low-skilled workers. Upon introducing the containment policies calibrated to match the Indian experience, our model can explain between 24 and 59 percent of the observed increase in inequality. We also find that there is a higher incidence of infections among the low-skilled workers as they optimally choose to work more onsite compared to their high-skilled counterparts. Implementing direct transfers for low-skilled workers reverses this increase in inequality and improves the effectiveness of the containment policies.
DOI: 10.3886/e193121v3
title: ECIN Replication Package for "Pandemic Containment and Inequality in a Developing Economy"

description: Using high frequency individual-level panel data from India, we show that income inequality, measured as the ratio of high-skilled to low-skilled income, increased sharply following the imposition of lockdown triggered by COVID-19. To explain this fact, we integrate a canonical SIRD epidemiological model into a general equilibrium framework with high-skilled and low-skilled workers, each choosing to work either from their work locations (onsite) or from their homes (remote). Onsite and remote labour are imperfect substitutes, but more substitutable for high-skilled relative to low-skilled workers. Upon introducing the containment policies calibrated to match the Indian experience, our model can explain between 24 and 59 percent of the observed increase in inequality. We also find that there is a higher incidence of infections among the low-skilled workers as they optimally choose to work more onsite compared to their high-skilled counterparts. Implementing direct transfers for low-skilled workers reverses this increase in inequality and improves the effectiveness of the containment policies.
DOI: 10.5281/zenodo.4016092
title: Data Set - Commodity Price Pass-Through in the US Airline Industry and the Hidden Perks of Consolidation

description: Data Set used for calculations in Journal article.
DOI: 10.5281/zenodo.4016091
title: Data Set - Commodity Price Pass-Through in the US Airline Industry and the Hidden Perks of Consolidation

description: Data Set used for calculations in Journal article.
DOI: 10.6084/m9.figshare.12922538.v1
title: Eulachon SNP amplicon baseline manuscript additional files

description: Supplemental data and code for the following article: <br><br>Population structure of eulachon Thaleichthys pacificus from Northern California to Alaska using single nucleotide polymorphisms from direct amplicon sequencingBen J. G. Sutherland, John Candy, Kayla Mohns, Olivia Cornies, Kim Jonsen, Khai Le, Richard G. Gustafson, Krista M. Nichols, Terry D. BeachambioRxiv 2020.05.31.126268; doi: https://doi.org/10.1101/2020.05.31.126268
DOI: 10.6084/m9.figshare.12922547.v1
title: Wild turkey samples+averages.xlsx

description: Supporting data for wild turkey contaminant burden research conducted on the Savannah River Site in 2017-2020
DOI: 10.6084/m9.figshare.12922547
title: Wild turkey samples+averages.xlsx

description: Supporting data for wild turkey contaminant burden research conducted on the Savannah River Site in 2017-2020
DOI: 10.6084/m9.figshare.12922028.v1
title: R0193_20171015a_videos

description: Rat 0193, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12922575
title: Additional file 4 of Estimating completeness of national and subnational death reporting in Brazil: application of record linkage methods

description: Additional file 4. Number of deaths by source, Brazil and each state, 2015 and 2016.
DOI: 10.6084/m9.figshare.12922627.v1
title: Additional file 1 of A hypoxia-related signature for clinically predicting diagnosis, prognosis and immune microenvironment of hepatocellular carcinoma patients

description: Additional file 1: Table S1. Hypoxia-related gene expression profile of HCC in TCGA-LIHC.
DOI: 10.6084/m9.figshare.12922630
title: Additional file 2 of A hypoxia-related signature for clinically predicting diagnosis, prognosis and immune microenvironment of hepatocellular carcinoma patients

description: Additional file 2: Table S2. The mRNA-sequencing data of HepG2 cells exposed to normoxia and hypoxia for 24 hours in GSE41666 dataset.
DOI: 10.6084/m9.figshare.12922627
title: Additional file 1 of A hypoxia-related signature for clinically predicting diagnosis, prognosis and immune microenvironment of hepatocellular carcinoma patients

description: Additional file 1: Table S1. Hypoxia-related gene expression profile of HCC in TCGA-LIHC.
DOI: 10.6084/m9.figshare.12922630.v1
title: Additional file 2 of A hypoxia-related signature for clinically predicting diagnosis, prognosis and immune microenvironment of hepatocellular carcinoma patients

description: Additional file 2: Table S2. The mRNA-sequencing data of HepG2 cells exposed to normoxia and hypoxia for 24 hours in GSE41666 dataset.
DOI: 10.6084/m9.figshare.12922633.v1
title: Additional file 3 of A hypoxia-related signature for clinically predicting diagnosis, prognosis and immune microenvironment of hepatocellular carcinoma patients

description: Additional file 3: Table S3. The mRNA-sequencing data in of Huh-7 cells under normoxia and hypoxia for 24 hours in GSE59729 dataset.
DOI: 10.6084/m9.figshare.12922633
title: Additional file 3 of A hypoxia-related signature for clinically predicting diagnosis, prognosis and immune microenvironment of hepatocellular carcinoma patients

description: Additional file 3: Table S3. The mRNA-sequencing data in of Huh-7 cells under normoxia and hypoxia for 24 hours in GSE59729 dataset.
DOI: 10.6084/m9.figshare.12922636.v1
title: Additional file 4 of A hypoxia-related signature for clinically predicting diagnosis, prognosis and immune microenvironment of hepatocellular carcinoma patients

description: Additional file 4: Table S4. Univariate analysis with Cox proportional hazard model.
DOI: 10.6084/m9.figshare.12922642.v1
title: Additional file 6 of A hypoxia-related signature for clinically predicting diagnosis, prognosis and immune microenvironment of hepatocellular carcinoma patients

description: Additional file 6: Table S5. Hypoxia-related gene expression profile of HCC in ICGC cohort.
DOI: 10.6084/m9.figshare.12922636
title: Additional file 4 of A hypoxia-related signature for clinically predicting diagnosis, prognosis and immune microenvironment of hepatocellular carcinoma patients

description: Additional file 4: Table S4. Univariate analysis with Cox proportional hazard model.
DOI: 10.6084/m9.figshare.12922642
title: Additional file 6 of A hypoxia-related signature for clinically predicting diagnosis, prognosis and immune microenvironment of hepatocellular carcinoma patients

description: Additional file 6: Table S5. Hypoxia-related gene expression profile of HCC in ICGC cohort.
DOI: 10.6084/m9.figshare.12922648.v1
title: Additional file 8 of A hypoxia-related signature for clinically predicting diagnosis, prognosis and immune microenvironment of hepatocellular carcinoma patients

description: Additional file 8: Table S6. Hypoxia-related gene expression profile of HCC in GSE14520 cohort.
DOI: 10.6084/m9.figshare.12922648
title: Additional file 8 of A hypoxia-related signature for clinically predicting diagnosis, prognosis and immune microenvironment of hepatocellular carcinoma patients

description: Additional file 8: Table S6. Hypoxia-related gene expression profile of HCC in GSE14520 cohort.
DOI: 10.6084/m9.figshare.12922656
title: Additional file 2 of Mass spectrometry-based analysis of formalin-fixed, paraffin-embedded distal cholangiocarcinoma identifies stromal thrombospondin-2 as a potential prognostic marker

description: Additional file 2. Clinicopathological data of analyzed samples.
DOI: 10.6084/m9.figshare.12922668
title: Additional file 6 of Mass spectrometry-based analysis of formalin-fixed, paraffin-embedded distal cholangiocarcinoma identifies stromal thrombospondin-2 as a potential prognostic marker

description: Additional file 6. Peptides included in the PRM spectral library.
DOI: 10.6084/m9.figshare.12922656.v1
title: Additional file 2 of Mass spectrometry-based analysis of formalin-fixed, paraffin-embedded distal cholangiocarcinoma identifies stromal thrombospondin-2 as a potential prognostic marker

description: Additional file 2. Clinicopathological data of analyzed samples.
DOI: 10.6084/m9.figshare.12922662
title: Additional file 4 of Mass spectrometry-based analysis of formalin-fixed, paraffin-embedded distal cholangiocarcinoma identifies stromal thrombospondin-2 as a potential prognostic marker

description: Additional file 4. DEPs identified by discovery LC-MS/MS using PD, MaxQuant and OpenMS.
DOI: 10.6084/m9.figshare.12922665.v1
title: Additional file 5 of Mass spectrometry-based analysis of formalin-fixed, paraffin-embedded distal cholangiocarcinoma identifies stromal thrombospondin-2 as a potential prognostic marker

description: Additional file 5. Detailed enrichment analysis.
DOI: 10.6084/m9.figshare.12922659
title: Additional file 3 of Mass spectrometry-based analysis of formalin-fixed, paraffin-embedded distal cholangiocarcinoma identifies stromal thrombospondin-2 as a potential prognostic marker

description: Additional file 3. Total proteins identified by discovery LC-MS/MS.
DOI: 10.6084/m9.figshare.12922671
title: Additional file 7 of Mass spectrometry-based analysis of formalin-fixed, paraffin-embedded distal cholangiocarcinoma identifies stromal thrombospondin-2 as a potential prognostic marker

description: Additional file 7. Peptides quantified by PRM.
DOI: 10.6084/m9.figshare.12922674
title: Additional file 8 of Mass spectrometry-based analysis of formalin-fixed, paraffin-embedded distal cholangiocarcinoma identifies stromal thrombospondin-2 as a potential prognostic marker

description: Additional file 8. Distribution of clinicopathological variables in THBS2 positive and negative samples.
DOI: 10.6084/m9.figshare.12922674.v1
title: Additional file 8 of Mass spectrometry-based analysis of formalin-fixed, paraffin-embedded distal cholangiocarcinoma identifies stromal thrombospondin-2 as a potential prognostic marker

description: Additional file 8. Distribution of clinicopathological variables in THBS2 positive and negative samples.
DOI: 10.6084/m9.figshare.12922665
title: Additional file 5 of Mass spectrometry-based analysis of formalin-fixed, paraffin-embedded distal cholangiocarcinoma identifies stromal thrombospondin-2 as a potential prognostic marker

description: Additional file 5. Detailed enrichment analysis.
DOI: 10.6084/m9.figshare.12922677
title: Additional file 9 of Mass spectrometry-based analysis of formalin-fixed, paraffin-embedded distal cholangiocarcinoma identifies stromal thrombospondin-2 as a potential prognostic marker

description: Additional file 9. Uni- and multivariable Cox proportional hazards regressions.
DOI: 10.6084/m9.figshare.12922668.v1
title: Additional file 6 of Mass spectrometry-based analysis of formalin-fixed, paraffin-embedded distal cholangiocarcinoma identifies stromal thrombospondin-2 as a potential prognostic marker

description: Additional file 6. Peptides included in the PRM spectral library.
DOI: 10.6084/m9.figshare.12922671.v1
title: Additional file 7 of Mass spectrometry-based analysis of formalin-fixed, paraffin-embedded distal cholangiocarcinoma identifies stromal thrombospondin-2 as a potential prognostic marker

description: Additional file 7. Peptides quantified by PRM.
DOI: 10.6084/m9.figshare.12922662.v1
title: Additional file 4 of Mass spectrometry-based analysis of formalin-fixed, paraffin-embedded distal cholangiocarcinoma identifies stromal thrombospondin-2 as a potential prognostic marker

description: Additional file 4. DEPs identified by discovery LC-MS/MS using PD, MaxQuant and OpenMS.
DOI: 10.6084/m9.figshare.12922654
title: Additional file 10 of Global identification of genes associated with xylan biosynthesis in cotton fiber

description: Additional file 10: Table S2. Protein domain search by pfam analysis.
DOI: 10.6084/m9.figshare.12922654.v1
title: Additional file 10 of Global identification of genes associated with xylan biosynthesis in cotton fiber

description: Additional file 10: Table S2. Protein domain search by pfam analysis.
DOI: 10.6084/m9.figshare.12922657
title: Additional file 11 of Global identification of genes associated with xylan biosynthesis in cotton fiber

description: Additional file 11: Table S3. Expression data of 55 candidates involved in fiber xylan biosynthesis.
DOI: 10.6084/m9.figshare.12922657.v1
title: Additional file 11 of Global identification of genes associated with xylan biosynthesis in cotton fiber

description: Additional file 11: Table S3. Expression data of 55 candidates involved in fiber xylan biosynthesis.
DOI: 10.6084/m9.figshare.12922659.v1
title: Additional file 3 of Mass spectrometry-based analysis of formalin-fixed, paraffin-embedded distal cholangiocarcinoma identifies stromal thrombospondin-2 as a potential prognostic marker

description: Additional file 3. Total proteins identified by discovery LC-MS/MS.
DOI: 10.6084/m9.figshare.12922677.v1
title: Additional file 9 of Mass spectrometry-based analysis of formalin-fixed, paraffin-embedded distal cholangiocarcinoma identifies stromal thrombospondin-2 as a potential prognostic marker

description: Additional file 9. Uni- and multivariable Cox proportional hazards regressions.
DOI: 10.6084/m9.figshare.12922692.v1
title: Additional file 1 of DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach

description: Additional file 1. Molecules generated by Experiment 1 having QED &gt; 0.8 and SA score &gt; 0.8.
DOI: 10.6084/m9.figshare.12922692
title: Additional file 1 of DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach

description: Additional file 1. Molecules generated by Experiment 1 having QED &gt; 0.8 and SA score &gt; 0.8.
DOI: 10.6084/m9.figshare.12922695.v1
title: Additional file 2 of DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach

description: Additional file 2. Molecules generated by Experiment 2 having QED &gt; 0.8 and SA score &gt; 0.8.
DOI: 10.6084/m9.figshare.12922702
title: Additional file 3 of Gel-based proteomic map of Arabidopsis thaliana root plastids and mitochondria

description: Additional file 3: Table S1. Proteins identified in root plastid enriched fraction by LC-MS/MS. Protein identification was performed using Proteome Discoverer 2.2 software as described in Methods.
DOI: 10.6084/m9.figshare.12922695
title: Additional file 2 of DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach

description: Additional file 2. Molecules generated by Experiment 2 having QED &gt; 0.8 and SA score &gt; 0.8.
DOI: 10.6084/m9.figshare.12922698
title: Additional file 3 of DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach

description: Additional file 3. Molecules generated by Experiment 3 having QED &gt; 0.8 and SA score &gt; 0.8.
DOI: 10.6084/m9.figshare.12922701
title: Additional file 4 of DeepGraphMolGen, a multi-objective, computational strategy for generating molecules with desirable properties: a graph convolution and reinforcement learning approach

description: Additional file 4. Molecules generated by Experiment 4 having QED &gt; 0.8 and SA score &gt; 0.8.