cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6371798
title: Burnt forest area and CO2 emissions from fires in Russian forests by fire protection zones in 2010-2020

description: The dataset is Supplementary Materials for the article ''<em>Reassessment of carbon emissions from fires and a new estimate of net carbon uptake in Russian forests in 2010-2020</em>'' in the Carbon Balance and Management journal. It contains files with burnt forest area and carbon dioxide emissions from fires data in Russia 2010-2020.<br> Article Supplementary materials are stored in the file Supplementary Tables and contains: - Table 1. Burnt forest area from NIR and MODIS (MCD64A1) in 2010-2020; - Table 2. Burnt forest area in the ground, aviation and the control (no fire protection) zones in 2010-2020 using MCD64A1; - Table 3. Carbon emissions from forest fires from National Inventory Report (NIR) and Copernicus Atmosphere Monitoring Service (CAMS) in 2010-2020 Also, there is Supplementary Figure 1 with the Federal Districts of Russia schematic map. There are 22 files in GeoTIFF format for every year: 1. Burnt forest area obtained using MODIS product MCD64A1 (250 m pixel, ESRI:102025). Coverage: -4064059.5401764437556267,1967242.6686790268868208 : 3658440.4598235562443733, 6012242.6686790268868208 2. CO2 emissions using Copernicus Atmosphere Monitoring System (CAMS) (0.1 degrees, VGS 84). Coverage: 27.9493818283081055,42.9493612670349520 : 190.0498617200859712,78.0494651794433594<br> <br> In addition, we share Shapefiles: 1. Russian borders (necessary to cut Russia from CO2 GeoTIFFs), EPSG:4326. Coverage: -180.0000000000000000,41.1888656599999976 : 180.00000000000000000,81.8562469499999992; 2. Forest Fire Protection zoning in 2019: ground zone, aviation zone, the so-called control zone (no fire protection), EPSG:4326. Coverage: 27.4019779002987676,41.3483353426717599 : 173.8255532772949721,72.6575707670955353.
DOI: 10.5281/zenodo.6371797
title: Burnt forest area and CO2 emissions from fires in Russian forests by fire protection zones in 2010-2020

description: The dataset is Supplementary Materials for the article ''<em>Reassessment of carbon emissions from fires and a new estimate of net carbon uptake in Russian forests in 2010-2020</em>'' in the Carbon Balance and Management journal. It contains files with burnt forest area and carbon dioxide emissions from fires data in Russia 2010-2020.<br> Article Supplementary materials are stored in the file Supplementary Tables and contains: - Table 1. Burnt forest area from NIR and MODIS (MCD64A1) in 2010-2020; - Table 2. Burnt forest area in the ground, aviation and the control (no fire protection) zones in 2010-2020 using MCD64A1; - Table 3. Carbon emissions from forest fires from National Inventory Report (NIR) and Copernicus Atmosphere Monitoring Service (CAMS) in 2010-2020 Also, there is Supplementary Figure 1 with the Federal Districts of Russia schematic map. There are 22 files in GeoTIFF format for every year: 1. Burnt forest area obtained using MODIS product MCD64A1 (250 m pixel, ESRI:102025). Coverage: -4064059.5401764437556267,1967242.6686790268868208 : 3658440.4598235562443733, 6012242.6686790268868208 2. CO2 emissions using Copernicus Atmosphere Monitoring System (CAMS) (0.1 degrees, VGS 84). Coverage: 27.9493818283081055,42.9493612670349520 : 190.0498617200859712,78.0494651794433594<br> <br> In addition, we share Shapefiles: 1. Russian borders (necessary to cut Russia from CO2 GeoTIFFs), EPSG:4326. Coverage: -180.0000000000000000,41.1888656599999976 : 180.00000000000000000,81.8562469499999992; 2. Forest Fire Protection zoning in 2019: ground zone, aviation zone, the so-called control zone (no fire protection), EPSG:4326. Coverage: 27.4019779002987676,41.3483353426717599 : 173.8255532772949721,72.6575707670955353.
DOI: 10.5281/zenodo.6388303
title: PM2.5 emissions from Siberian forest fires 2004-2021

description: The dataset contains Supplementary Materials for the article <em>''Catastrophic PM2.5 emissions from Siberian forest fires: impacting factors analysis''</em> in the Environmental Pollution journal. There are files with PM2.5 emissions from forest fires in Russia 2004-2021 and SARIMAX modelling data for impacting factors analysis. <br> <br> <strong>Supplementary Figures</strong>:<br> - Figure 1. Total wildfires PM2.5 emissions from Russian forests (yellow colour) with the average value for 2004-2021 (grey line) and emissions trend (orange dotted line); - Figure 2. PM2.5 emissions from wildfires in different fire protection zones during 2004-2021: ground zone (green colour), aviation zone (indigo colour) and control zone (beige colour). A) total PM2.5 emissions, Mt; B) average monthly PM2.5 emissions, kg/ha; C) average annual PM2.5 emissions, kg/ha. - Figure 3. The location of the seven federal subjects with the highest PM2.5 emissions in Russia (schematic map); - Figure 4. Predictive model (SARIMAX) and satellite (CAMS) data on PM2.5 emissions in Amur Region; - Figure 5. Predictive model (SARIMAX) and satellite (CAMS) data on PM2.5 emissions in the Buryatia Republic; - Figure 6. Predictive model (SARIMAX) and satellite (CAMS) data on PM2.5 emissions in Irkutsk Region; - Figure 7. Predictive model (SARIMAX) and satellite (CAMS) data on PM2.5 emissions in Khabarovsk Territory; - Figure 8. Predictive model (SARIMAX) and satellite (CAMS) data on PM2.5 emissions in Transbaikal Territory. <br> We share Copernicus Atmosphere Monytoring Service <strong>PM2.5 emissions maps</strong> (GeoTIFF, EPSG:4326, 0.1 degrees). Coverage: 27.9493818283081055,42.9493612670349520 : 190.0498617200859712,78.0494651794433594. <br> To determine emissions from the territory of Russia, we provide <strong>shapefiles</strong> with state (EPSG:4326. Coverage: -180.0000000000000000,41.1888656599999976 : 180.00000000000000000,81.8562469499999992) and Federal subjects borders (ESRI:102025. Coverage: -4073239.7565327030606568,1966601.6932600045111030 : 3971631.5190406017936766,6412842.0674155252054334). Also, there are<strong> initial dataset</strong> for analysis (Initital data_SARIMAX archive) and <strong>SARIMAX model settings</strong> (doc.).
DOI: 10.34740/kaggle/dsv/3369458
title: Indian vehicle license plate dataset
DOI: 10.6084/m9.figshare.19429184
title: MACTOR analysis questionnaire results

description: MACTOR analysis questionnaire results by respondents from the Department of Housing and Settlements West Java.
DOI: 10.5281/zenodo.6388346
title: Object for single-cell mouse HSC development data

description: This file contains SingleCellExperiment object generated from mouse HSC development data, including raw and log-normalized counts, gene regulatory network inferred by PUIC, transcription factor activity matrix estimated by metaRegulon.
DOI: 10.5281/zenodo.6388345
title: Object for single-cell mouse HSC development data

description: This file contains SingleCellExperiment object generated from mouse HSC development data, including raw and log-normalized counts, gene regulatory network inferred by PUIC, transcription factor activity matrix estimated by metaRegulon.
DOI: 10.26186/146154
title: Exploring for the Future - Magnetic susceptibility data from NDI Carrara 1, South Nicholson region, Australia

description: NDI Carrara 1 is a deep stratigraphic drill hole completed in 2020 as part of the MinEx CRC National Drilling Initiative (NDI) in collaboration with Geoscience Australia and the Northern Territory Geological Survey. It is the first test of the Carrara Sub-Basin, a depocentre newly discovered in the South Nicholson region based on interpretation from seismic surveys (L210 in 2017 and L212 in 2019) recently acquired as part of the Exploring for the Future program. The drill hole intersected approximately 1100 m of Proterozoic sedimentary rocks uncomformably overlain by 630 m of Cambrian Georgina Basin carbonates. A comprehensive geochemical program designed to provide information about the region’s resource potential was carried out on samples collected at up to 4 meter intervals. This report presents data from magnetic susceptibility analyses undertaken by Geoscience Australia on selected rock samples to establish their ability to be magnetised in an applied external magnetic field.
DOI: 10.26186/146412
title: Geochemical Compositions of Natural Gases from the Well Dorado 1, Roebuck Basin, Australia

description: The Roebuck Basin on Australia’s offshore north-western margin is the focus of a regional hydrocarbon prospectivity assessment being undertaken by the Offshore Energy Systems Section. This offshore program is designed to produce pre-competitive information to assist with the evaluation of the hydrocarbon resource potential of the central North West Shelf and attract exploration investment to Australia. As part of this program, molecular and isotopic analyses were undertaken by Geoscience Australia on gas samples from the well Dorado 1 and the raw data from these analyses are released in this report.
DOI: 10.5281/zenodo.4107533
title: Genomic data of Pyrenophora teres hybrid WAC10721

description: This data set is part of this published paper " Draft genome assembly of <em>Fusarium pilosicola</em>, <em>Meredithiella fracta</em>, <em>Niebla homalea</em>, <em>Pyrenophora teres</em> hybrid WAC10721, and <em>Teratosphaeria viscida". </em>Duong, T.A., Aylward, J., Ametrano, C.G. <em>et al.</em> IMA Genome - F15. <em>IMA Fungus</em> <strong>12, </strong>30 (2021). https://doi.org/10.1186/s43008-021-00077-9 IMA Genome: F 15D: Short-read genome assembly and annotation of a field collected <em>Pyrenophora teres</em> f. <em>teres</em> x <em>P. teres</em> hybrid WAC10721 Files include Pyrenophora teres hybrid WAC10721 genome annotation, protein functions, orthologous genes compared with the reference genomes of two forms of <em>P. teres</em>, and a number of interspersed repeats, secretory proteins, effectors, secondary metabolites.
DOI: 10.5281/zenodo.4107532
title: Genomic data of Pyrenophora teres hybrid WAC10721

description: This data set is part of this published paper " Draft genome assembly of <em>Fusarium pilosicola</em>, <em>Meredithiella fracta</em>, <em>Niebla homalea</em>, <em>Pyrenophora teres</em> hybrid WAC10721, and <em>Teratosphaeria viscida". </em>Duong, T.A., Aylward, J., Ametrano, C.G. <em>et al.</em> IMA Genome - F15. <em>IMA Fungus</em> <strong>12, </strong>30 (2021). https://doi.org/10.1186/s43008-021-00077-9 IMA Genome: F 15D: Short-read genome assembly and annotation of a field collected <em>Pyrenophora teres</em> f. <em>teres</em> x <em>P. teres</em> hybrid WAC10721 Files include Pyrenophora teres hybrid WAC10721 genome annotation, protein functions, orthologous genes compared with the reference genomes of two forms of <em>P. teres</em>, and a number of interspersed repeats, secretory proteins, effectors, secondary metabolites.
DOI: 10.25909/19204586.v1
title: Philanthropy and charity

description: Questionnaires and complete data sets of two South Australian surveys for the analysis of charitable behaviour using a Schwartz Theory of Basic Values framework<br>
DOI: 10.34820/fk2/gzxwi5/ubfg0g
title: Bima .pdf

description: Data visual dan deskripsi pengembangan karakter Bima dalam Komik Wayang dalam kurun waktu, 1950. 1980 dan 2010 untuk penelitian Visualazations of Wayang Characters In Comics (Case Study: Bima and Arjuna Characters in The Arts of Ardisoma, Teguh Santosa and Is Yuniarto)
DOI: 10.3886/e166001
title: Replication material for "Does Enrollment Lead to Completion? Measuring Adjustments in Education to Local Labor Market Shocks"

description: Replication Material for "Does Enrollment Lead to Completion?Measuring Adjustments in Education to Local Labor Market Shocks "
DOI: 10.3886/e166001v1
title: Replication material for "Does Enrollment Lead to Completion? Measuring Adjustments in Education to Local Labor Market Shocks"

description: Replication Material for "Does Enrollment Lead to Completion?Measuring Adjustments in Education to Local Labor Market Shocks "
DOI: 10.5281/zenodo.6379913
title: RACMO regional climate model data, postprocessed for winter precipitation and winter temperature

description: This contains statistics of winter precipitation and winter temperature derived from the 16 model ensemble by RACMO2. In addition to the GCM driven runs, also a PGW (pseudo global warming) set is given. Data is used for a paper to be submitted. Reference on the RACMO2 runs: Aalbers EE, Lenderink G, van Meijgaard E, van den Hurk BJJM (2018) Local-scale changes in mean and heavy precipitation in Western Europe, climate change or internal variability? Climate Dynamics 50:4745–4766. https://doi.org/10.1007/s00382-017-3901-9
DOI: 10.5281/zenodo.6379912
title: RACMO regional climate model data, postprocessed for winter precipitation and winter temperature

description: This contains statistics of winter precipitation and winter temperature derived from the 16 model ensemble by RACMO2. In addition to the GCM driven runs, also a PGW (pseudo global warming) set is given. Data is used for a paper to be submitted. Reference on the RACMO2 runs: Aalbers EE, Lenderink G, van Meijgaard E, van den Hurk BJJM (2018) Local-scale changes in mean and heavy precipitation in Western Europe, climate change or internal variability? Climate Dynamics 50:4745–4766. https://doi.org/10.1007/s00382-017-3901-9
DOI: 10.5281/zenodo.6326599
title: Compliance of the Parties to the Kyoto Protocol: 2008-19

description: Addition of Latest data available on Second Commitment Period (2012-20), extracted from final data for national GHG emissions from OECD Statistics
DOI: 10.5281/zenodo.6326598
title: Compliance of the Parties to the Kyoto Protocol: 2008-19

description: Addition of Latest data available on Second Commitment Period (2012-20), extracted from final data for national GHG emissions from OECD Statistics
DOI: 10.6084/m9.figshare.19425206
title: Data file for Article: Financial Logistics Models Based on Systematic Approach Improving Management Solutions

description: This is a draft of data calculation for the financial logistics models based on systematic approach improving management solutions <br>Some firms with good growth opportunities and additional funds could have difficulties accessing external finance. One possible way to enhance their financial inclusion could be an exciting approach to planning the money reserve collected on a firm’s account. The article aims to disclose the introduction of financial logistics as the new theoretical field of management science. The authors present, in this paper, the key findings on the development of logistical models of an optimum money reserve calculation taking into account digital transformation and industry 4.0 technologies and optimization methods. The monetary reserve models are analogies of models of store keeping in supply chains. The specific area of the theoretical research of logistics is shown in this paper, which could be disclosed as the subject of financial logistics as a science. The authors consider the term “Financial Logistics” based on logistics theory and money demand. Authors suggest the methodology of studying the nature of both financial and material flows of resources by comparing the relevant formulas. From the researchers’ points of view, financial logistics could be defined as the theory of managing the cash flows based on the logistical models for calculating the corporation’s cash reserve. The authors find it interesting to expand the conditions for calculating financial flows since the uncertainty of external market conditions always influences actual commercial activity.<br>
DOI: 10.6084/m9.figshare.19425206.v2
title: Data file for Article: Financial Logistics Models Based on Systematic Approach Improving Management Solutions

description: This is a draft of data calculation for the financial logistics models based on systematic approach improving management solutions <br>Some firms with good growth opportunities and additional funds could have difficulties accessing external finance. One possible way to enhance their financial inclusion could be an exciting approach to planning the money reserve collected on a firm’s account. The article aims to disclose the introduction of financial logistics as the new theoretical field of management science. The authors present, in this paper, the key findings on the development of logistical models of an optimum money reserve calculation taking into account digital transformation and industry 4.0 technologies and optimization methods. The monetary reserve models are analogies of models of store keeping in supply chains. The specific area of the theoretical research of logistics is shown in this paper, which could be disclosed as the subject of financial logistics as a science. The authors consider the term “Financial Logistics” based on logistics theory and money demand. Authors suggest the methodology of studying the nature of both financial and material flows of resources by comparing the relevant formulas. From the researchers’ points of view, financial logistics could be defined as the theory of managing the cash flows based on the logistical models for calculating the corporation’s cash reserve. The authors find it interesting to expand the conditions for calculating financial flows since the uncertainty of external market conditions always influences actual commercial activity.<br>
DOI: 10.6084/m9.figshare.19425206.v1
title: data file for Article: Financial Logistics Models Based on Systematic Approach Im-proving Management Solutions.xls

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DOI: 10.5281/zenodo.6350638
title: Data for Model solution for canopy flows

description: Data for Model solution for canopy flows
DOI: 10.5281/zenodo.6350637
title: Data for Model solution for canopy flows

description: Data for Model solution for canopy flows
DOI: 10.5281/zenodo.6141347
title: data for "Horizontal connectivity in V1 : Prediction of coherence in contour and motion integration'

description: Data associated with the article : "Horizontal connectivity in V1 : Prediction of coherence in contour and motion integration", Plos One
DOI: 10.5281/zenodo.6141346
title: data for "Horizontal connectivity in V1 : Prediction of coherence in contour and motion integration'

description: Data associated with the article : "Horizontal connectivity in V1 : Prediction of coherence in contour and motion integration", Plos One
DOI: 10.26009/s0g2sm3l
title: TDB-18

description: TDB-18-1: Fan-delta experiment performed in Tulane University Delta Basin. Experiment evolved under constant forcings of water (0.17 l/s), sediment (0.00017 l/s), and sea-level rise rate 0.25 (mm/hr). Experiment run time was 560 hrs of base-level rise. Experiment used a strongly cohesive sediment that had a wide grain size distribution with a median diameter of 65 microns. Experiment performed to explore autogenic sediment transport and stratigraphy with topography monitored every 1 hour of run time.
DOI: 10.5281/zenodo.6388599
title: pXRF-analysis of Roman pottery from Brigantium/Bregenz (A)

description: raw data of the pXRF-analysis from Roman pottery from the site "Gmeinerwiese" in Brigantium/Bregenz (A)
DOI: 10.5281/zenodo.6388598
title: pXRF-analysis of Roman pottery from Brigantium/Bregenz (A)

description: raw data of the pXRF-analysis from Roman pottery from the site "Gmeinerwiese" in Brigantium/Bregenz (A)
DOI: 10.6084/m9.figshare.17064419
title: Research Co-authorship 1900-2020: Continuous, universal, and ongoing expansion

description: Annual authorship trends for broad and narrow Scopus fields from the paper: Research Co-authorship 1900-2020: Continuous, universal, and ongoing expansion. The figures from the paper are also included, as well as a supplementary analysis of Journal for ImmunoTherapy of Cancer and additional figures.
DOI: 10.6084/m9.figshare.17064419.v2
title: Research Co-authorship 1900-2020: Continuous, universal, and ongoing expansion

description: Annual authorship trends for broad and narrow Scopus fields from the paper: Research Co-authorship 1900-2020: Continuous, universal, and ongoing expansion. The figures from the paper are also included, as well as a supplementary analysis of Journal for ImmunoTherapy of Cancer and additional figures.
DOI: 10.14469/hpc/10283
title: NUJQUE, open form (-54.5) CDCl3 calc -88, -94.

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10285
title: ZICMIJ, -149.1, closed form CDCl3 calc -156.7, G = -934.313438

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10290
title: TAKWIO, -61.6, -52.8 C6D6 (open form only) calc -56.5, -60.8 and -13.1

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10291
title: PhBF2---thf in thf syn open G = -688.471430 DG = 5.9

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10293
title: CICPEM, open form, CDCl3 G = -890.104512

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10295
title: CICPEM, closed form, CDCl3 G = -890.142043 DG = 23.5

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/10296
title: ZICMIJ, open form as inflexion point (hidden intermediate) G = -934.291585 DG = 13.7 19F = -81.2, -86.7

description: Gaussian 16 (C01) calculation
DOI: 10.6084/m9.figshare.19409522
title: Supplementary analysis R scripts and data from The megaherbivore gap after the non-avian dinosaur extinctions modified trait evolution and diversification of tropical palms

description: Supplementary analysis R scripts and data
DOI: 10.6084/m9.figshare.19409525
title: Supplementary data from The megaherbivore gap after the non-avian dinosaur extinctions modified trait evolution and diversification of tropical palms

description: Supplementary data