cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2022-10.2627604/2233954
title: Data for PNCC Project 160189 from October 2022
DOI: 10.25582/data.2022-10.2628102/2233955
title: Data for PNCC Project 160189 from October 2022
DOI: 10.25582/data.2022-10.2627157/2233956
title: Data for PNCC Project 160189 from October 2022
DOI: 10.25582/data.2022-10.2628091/2233957
title: Data for PNCC Project 160189 from October 2022
DOI: 10.25582/data.2022-10.2628095/2233958
title: Data for PNCC Project 160189 from October 2022
DOI: 10.25582/data.2022-10.2628096/2233959
title: Data for PNCC Project 160189 from October 2022
DOI: 10.25582/data.2022-10.2627676/2233960
title: Data for PNCC Project 160189 from October 2022
DOI: 10.25582/data.2022-10.2627160/2233961
title: Data for PNCC Project 160189 from October 2022
DOI: 10.25582/data.2022-10.2628103/2233962
title: Data for PNCC Project 160189 from October 2022
DOI: 10.25582/data.2022-10.2628083/2233963
title: Data for PNCC Project 160189 from October 2022
DOI: 10.25582/data.2022-11.2633790/2233964
title: Data for PNCC Project 160189 from November 2022
DOI: 10.25582/data.2022-10.2626269/2233965
title: Data for PNCC Project 160189 from October 2022
DOI: 10.25582/data.2022-10.2626345/2233966
title: Data for PNCC Project 160189 from October 2022
DOI: 10.25582/data.2022-10.2627192/2233967
title: Data for PNCC Project 160189 from October 2022
DOI: 10.25582/data.2022-10.2627156/2233968
title: Data for PNCC Project 160189 from October 2022
DOI: 10.25582/data.2022-10.2628084/2233969
title: Data for PNCC Project 160189 from October 2022
DOI: 10.25582/data.2022-10.2627686/2233970
title: Data for PNCC Project 160189 from October 2022
DOI: 10.25582/data.2022-10.2626811/2233971
title: Data for PNCC Project 160189 from October 2022
DOI: 10.25582/data.2022-10.2627601/2233972
title: Data for PNCC Project 160189 from October 2022
DOI: 10.25582/data.2022-11.2644931/2233973
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2646280/2233974
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2646380/2233975
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2647873/2233976
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2646360/2233977
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2646084/2233978
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2646339/2233979
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2645023/2233980
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2646088/2233981
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2646058/2233982
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2645119/2233983
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2644798/2233984
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2646351/2233985
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2649538/2233986
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2646087/2233987
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2644755/2233988
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2646277/2233989
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2646373/2233990
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2646384/2233991
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2646293/2233992
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2646367/2233993
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2643318/2233994
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2643187/2233995
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2646067/2233996
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2647755/2233997
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2644758/2233998
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2646374/2233999
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2645046/2234000
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-11.2646072/2234001
title: Data for PNCC Project 160186 from November 2022
DOI: 10.25582/data.2022-12.2676737/2234002
title: Data for EMSL Project 51699 from December 2022
DOI: 10.25582/data.2022-12.2672326/2234003
title: Data for EMSL Project 51393 from December 2022
DOI: 10.21947/2234004
title: Site C1 UTD Sonic Anemometer / Reviewed Data

description: This dataset contains reviewed data from the AWAKEN Site C1 UTD Sonic Anemometer.
DOI: 10.21947/2234005
title: Eddy Covariance Flux / Raw Data

description: This dataset contains raw Eddy Covariance Flux data.
DOI: 10.5439/2234019
title: BIRDIE beryllium-10 and -7 measurements from 2022 summer deep convection rain at ARM SGP

description: Water samples were manually collected from 11 SGP ARM sites in the early summer of 2022 to measure cosmogenic isotopes of beryllium. The water samples were brought back to the Center for Accelerator Mass Spectrometry (CAMS) at LLNL and analysed for beryllium-10 and beryllium-7 as well as for chlorine-37, chlorine-36, and tritium. A total of six storm events were measured over three weeks. At least five of those storms included overshooting cloud events. Available data include precipitation amount, beryllium-10 concentration, beryllium-7 concentration, and 10/7Be ratio. Spatial and temporal variability in the cosmogenic isotopes was relatively high but could not directly be linked to precipitation amount. Analysis is on-going to explain the measured variability and to see if it can be linked to cloud top height and overshooting depth.
DOI: 10.5281/zenodo.10393889
title: ПРОБЛЕМЫ ГЕНДЕРНОГО НЕРАВЕНСТВА В ИОРДАНИИ
DOI: 10.5281/zenodo.10393890
title: ПРОБЛЕМЫ ГЕНДЕРНОГО НЕРАВЕНСТВА В ИОРДАНИИ
DOI: 10.21947/2234239
title: AWAKEN Site C1 UTD Surface Met Station / Reviewed Data

description: This dataset contains reviewed data from the AWAKEN Site C1 UTD Surface Met Station.
DOI: 10.6084/m9.figshare.23512404.v1
title: Genome annotations of darkbarbel catfish (<em>Pelteobagrus vachelli</em>)

description: Genome annotations (.gff), along with predicted coding sequences (.cds.fa) and protein sequences (.pep.fa) of darkbarbel catfish genome assembly.
DOI: 10.5281/zenodo.10393930
title: REORGANIZING THE USE OF DEGRADATED WETLANDS
DOI: 10.5281/zenodo.10393929
title: REORGANIZING THE USE OF DEGRADATED WETLANDS
DOI: 10.5281/zenodo.10393947
title: HUMAN BIOLOGICAL MATERIAL: HAIR RESEARCH (EXAMPLE OF DNA)
DOI: 10.5281/zenodo.10393948
title: HUMAN BIOLOGICAL MATERIAL: HAIR RESEARCH (EXAMPLE OF DNA)
DOI: 10.5281/zenodo.2591215
title: SM2RAIN-ASCAT (2007-2018): global daily satellite rainfall from ASCAT soil moisture

description: <strong>SM2RAIN-ASCAT is a new global scale rainfall product</strong> obtained from ASCAT satellite soil moisture data through the SM2RAIN algorithm (<em>Brocca et al., 2014</em>). The SM2RAIN-ASCAT rainfall dataset (in mm/day) is provided over an irregular grid at 12.5 km on a global scale. The product represents the cumulated rainfall between the 00:00 and the 23:59 UTC of the indicated day. The SM2RAIN method was applied to the ASCAT soil moisture product (<em>Wagner et al., 2013</em>) for the period from January 2007 to December 2018 (12 years). The rainfall dataset is provided in netCDF format. A total of 12 netCDF files, one per year, are provided. The quality flag provided with the dataset has been used to mask out low quality data, as well as the areas characterised by complex topographic, frozen soil, and presence of tropical forests. A GeoTIFF version of the dataset is available here: https://zenodo.org/record/2615279 A sample dataset that can be used for testing SM2RAIN algorithm is available here: https://zenodo.org/record/2580285 Details on the dataset development and its assessment with ground and reanalysis observations are provided as: Brocca, L., Filippucci, P., Hahn, S., Ciabatta, L., Massari, C., Camici, S., Schüller, L., Bojkov, B., and Wagner, W. (2019). SM2RAIN-ASCAT (2007–2018): global daily satellite rainfall from ASCAT soil moisture, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-48, in review. <strong>Acknowledgements</strong> EUMETSAT Global SM2RAIN project (contract n° EUM/CO/17/4600001981/BBo) EUMETSAT “Satellite Application Facility on Support to Operational Hydrology and Water Management (H SAF)” CDOP 3 (EUM/C/85/16/DOC/15). <strong>Simple Python and Matlab codes for the extraction of SM2RAIN-ASCAT rainfall at one and multiple station(s) \location(s) are available at: </strong>https://github.com/IRPIhydrology/SM2RAIN_ASCAT_reader
description: {"references": ["Brocca, L., Filippucci, P., Hahn, S., Ciabatta, L., Massari, C., Camici, S., Sch\u00fcller, L., Bojkov, B., and Wagner, W. (2019). SM2RAIN-ASCAT (2007\u20132018): global daily satellite rainfall from ASCAT soil moisture, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-48, in review.", "Brocca, L., Ciabatta, L., Massari, C., Moramarco, T., Hahn, S., Hasenauer, S., Kidd, R., Dorigo, W., Wagner, W., Levizzani, V. (2014). Soil as a natural rain gauge: estimating global rainfall from satellite soil moisture data. Journal of Geophysical Research, 119(9), 5128-5141, doi:10.1002/2014JD021489.", "Wagner, W., Hahn, S., Kidd, R., Melzer, T., Bartalis, Z., Hasenauer, S., Figa, J., de Rosnay, P., Jann, A., Schneider, S., Komma, J., Kubu, G., Brugger, K., Aubrecht, C., Zuger, J., Gangkofner, U., Kienberger, S., Brocca, L., Wang, Y., Bloeschl, G., Eitzinger, J., Steinnocher, K., Zeil, P., Rubel, F. (2013). The ASCAT Soil Moisture Product: A Review of its Specifications, Validation Results, and Emerging Applications. Meteorologische Zeitschrift, 22(1), 5-33, doi:10.1127/0941-2948/2013/0399."]}
DOI: 10.5281/zenodo.10393973
title: FINANCIAL INVESTIGATIONS AND CONFISCATION OF ILLEGALLY ACQUIRED ASSETS IN THE CONTEXT OF THE FIGHT AGAINST CORRUPTION
DOI: 10.5281/zenodo.10393974
title: FINANCIAL INVESTIGATIONS AND CONFISCATION OF ILLEGALLY ACQUIRED ASSETS IN THE CONTEXT OF THE FIGHT AGAINST CORRUPTION
DOI: 10.6084/m9.figshare.24313996
title: example file for taxonomic profiling

description: This example file comprising 10,000 quality-controlled (processed with <code>Porechop</code> and <code>nanoq</code>), prokaryotic reads (fungal and other reads removed with <code>minimap2</code>) randomly selected from the R10.3 mock sample of Loman Lab Mock Community Experiments.
DOI: 10.6084/m9.figshare.24313996.v1
title: example file for taxonomic profiling

description: -----
DOI: 10.6084/m9.figshare.24313996.v2
title: example file for taxonomic profiling

description: This example file comprising 10,000 quality-controlled (processed with <code>Porechop</code> and <code>nanoq</code>), prokaryotic reads (fungal and other reads removed with <code>minimap2</code>) randomly selected from the R10.3 mock sample of Loman Lab Mock Community Experiments.
DOI: 10.6084/m9.figshare.24845010
title: Hindcast simulation from a coupled ocean physics and biogeochemistry model from 1979 to 2022

description: Hindcast simulation from a coupled ocean physics and biogeochemistry model from 1979 to 2022, related manuscript is submitted to a journal about geoscience disciplines
DOI: 10.6084/m9.figshare.24319603.v1
title: Human serous cavity macrophages and dendritic cells possess counterparts in the mouse with a distinct distribution between species

description: Source data related to the construct of all figures
DOI: 10.6084/m9.figshare.24319603
title: Human serous cavity macrophages and dendritic cells possess counterparts in the mouse with a distinct distribution between species

description: Source data related to the construct of all figures
DOI: 10.6084/m9.figshare.23721945.v1
title: BRD9 determines the cell fate of hematopoietic stem cells by regulating chromatin state

description: ATP-dependent chromatin remodeling SWI/SNF complexes exist in three subcomplexes: canonical BAF (cBAF), polybromo BAF (PBAF), and a newly described non-canonical BAF (ncBAF). While cBAF and PBAF regulate fates of multiple cell types, roles for ncBAF in hematopoietic stem cells (HSCs) have not been investigated. Motivated by recent discovery of disrupted expression of BRD9, an essential component of ncBAF, in multiple cancers, including clonal hematopoietic disorders, we evaluate here the role of BRD9 in normal and malignant HSCs. BRD9 loss enhances chromatin accessibility, promoting myeloid lineage skewing while impairing B cell development. BRD9 significantly colocalizes with CTCF, whose chromatin recruitment is augmented by BRD9 loss, leading to altered chromatin state and expression of myeloid-related genes within intact topologically associating domains. These data uncover ncBAF as critical for cell fate specification in HSCs via three-dimensional regulation of gene expression and illuminate roles for ncBAF in normal and malignant hematopoiesis.
DOI: 10.6084/m9.figshare.23721945
title: BRD9 determines the cell fate of hematopoietic stem cells by regulating chromatin state

description: ATP-dependent chromatin remodeling SWI/SNF complexes exist in three subcomplexes: canonical BAF (cBAF), polybromo BAF (PBAF), and a newly described non-canonical BAF (ncBAF). While cBAF and PBAF regulate fates of multiple cell types, roles for ncBAF in hematopoietic stem cells (HSCs) have not been investigated. Motivated by recent discovery of disrupted expression of BRD9, an essential component of ncBAF, in multiple cancers, including clonal hematopoietic disorders, we evaluate here the role of BRD9 in normal and malignant HSCs. BRD9 loss enhances chromatin accessibility, promoting myeloid lineage skewing while impairing B cell development. BRD9 significantly colocalizes with CTCF, whose chromatin recruitment is augmented by BRD9 loss, leading to altered chromatin state and expression of myeloid-related genes within intact topologically associating domains. These data uncover ncBAF as critical for cell fate specification in HSCs via three-dimensional regulation of gene expression and illuminate roles for ncBAF in normal and malignant hematopoiesis.
DOI: 10.6084/m9.figshare.24306841.v1
title: The function of ER-phagy receptors is regulated through phosphorylation-dependent ubiquitination pathways

description: Selective autophagy of the endoplasmic reticulum (ER), known as ER-phagy, is an important regulator of ER remodeling and essential to maintain cellular homeostasis during environmental changes. We recently showed that members of the FAM134 family play a critical role during stress-induced ER-phagy. However, the mechanisms on how they are activated remain largely unknown. In this study, we analyze phosphorylation of FAM134 as a trigger of FAM134-driven ER-phagy upon mTOR (mechanistic target of rapamycin) inhibition. An unbiased screen of kinase inhibitors reveals CK2 to be essential for FAM134B- and FAM134C-driven ER-phagy after mTOR inhibition. Furthermore, we provide evidence that ER-phagy receptors are regulated by ubiquitination events and that treatment with E1 inhibitor suppresses Torin1-induced ER-phagy flux. Using super-resolution microscopy, we show that CK2 activity is essential for the formation of high-density FAM134B and FAM134C clusters. In addition, dense clustering of FAM134B and FAM134C requires phosphorylation-dependent ubiquitination of FAM134B and FAM134C. Treatment with the CK2 inhibitor SGC-CK2-1 or mutation of FAM134B and FAM134C phosphosites prevents ubiquitination of FAM134 proteins, formation of high-density clusters, as well as Torin1-induced ER-phagy flux. Therefore, we propose that CK2-dependent phosphorylation of ER-phagy receptors precedes ubiquitin-dependent activation of ER-phagy flux.
DOI: 10.6084/m9.figshare.24306841
title: The function of ER-phagy receptors is regulated through phosphorylation-dependent ubiquitination pathways

description: Selective autophagy of the endoplasmic reticulum (ER), known as ER-phagy, is an important regulator of ER remodeling and essential to maintain cellular homeostasis during environmental changes. We recently showed that members of the FAM134 family play a critical role during stress-induced ER-phagy. However, the mechanisms on how they are activated remain largely unknown. In this study, we analyze phosphorylation of FAM134 as a trigger of FAM134-driven ER-phagy upon mTOR (mechanistic target of rapamycin) inhibition. An unbiased screen of kinase inhibitors reveals CK2 to be essential for FAM134B- and FAM134C-driven ER-phagy after mTOR inhibition. Furthermore, we provide evidence that ER-phagy receptors are regulated by ubiquitination events and that treatment with E1 inhibitor suppresses Torin1-induced ER-phagy flux. Using super-resolution microscopy, we show that CK2 activity is essential for the formation of high-density FAM134B and FAM134C clusters. In addition, dense clustering of FAM134B and FAM134C requires phosphorylation-dependent ubiquitination of FAM134B and FAM134C. Treatment with the CK2 inhibitor SGC-CK2-1 or mutation of FAM134B and FAM134C phosphosites prevents ubiquitination of FAM134 proteins, formation of high-density clusters, as well as Torin1-induced ER-phagy flux. Therefore, we propose that CK2-dependent phosphorylation of ER-phagy receptors precedes ubiquitin-dependent activation of ER-phagy flux.
DOI: 10.6084/m9.figshare.23070290
title: A power law of cortical adaptation

description: Each matlab file contains the results of an independent session. The reading_data_example.mlx file contains examples of how to generate some of the figures in the paper, including the power law.
DOI: 10.34740/kaggle/dsv/7214079
title: AutoXGB
DOI: 10.34740/kaggle/dsv/7214080
title: OnlineFree
DOI: 10.6084/m9.figshare.24829965
title: <b>A</b><b>symmetric and parallel subgenome selection</b><b> co-shape common carp domestication</b>

description: We detected selection sweeps and genome-wide genetic variations associated with scale reduction, vibrant skin color, and high growth rate in common carp domestication through utilizing integrated population genetics approaches.
DOI: 10.34740/kaggle/dsv/7214199
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.24542464
title: Demographic and conservation genomic assessment of the threatened marbled teal (<i>Marmaronetta angustirostris</i>)

description: <b>Samples.xlsx</b>: Description of individual and population codes used in the different analyses and genetic datasets.<b>mtDNA_DNAsp.txt</b>: Input file used to calculate genetic diversity statistics in DNASP for the mtDNA dataset.<b>mtDNA_PopArt.txt</b>: Input file used to estimate the haplotype network in POPART for the mtDNA dataset.<b>mtDNA_Arlequin.arp</b>: Input file used to perform ARLEQUIN analyses for the mtDNA dataset.<b>R075minMAF001_R0.arp</b>: Input file used to perform ARLEQUIN analyses for the ddRAD-seq dataset.<b>R075minMAF001_R0.str</b>:<b> </b>Input file (ddRAD-seq data) used to perform genetic clustering (STRUCTURE) and principal component (PCA) analyses for wild and captive populations of marbled teal. The dataset only includes unrelated individuals (<i>φ</i><sub>ij</sub> ≤ 0).<b>R075minMAF001_R0_Wild.str</b>: Input file (ddRAD-seq data) used to perform genetic clustering (STRUCTURE) and principal component (PCA) analyses for wild populations of marbled teal. The dataset only includes unrelated individuals (<i>φ</i><sub>ij</sub> ≤ 0).<b>R075minMAF001.haps.radpainter</b>:<b> </b>Input file (ddRAD-seq data) used to perform FINERADSTRUCTURE analyses including all individuals.<b>R075minMAF001_R0.haps.radpainter</b>: Input file (ddRAD-seq data) used to perform FINERADSTRUCTURE analyses. The dataset only includes unrelated individuals (<i>φ</i><sub>ij</sub> ≤ 0).<b>FASTSIMCOAL2.zip</b>: This ZIP folder contains input files for demographic analyses in FASTSIMCOAL2.<b>STAIRWAYPLOT.zip</b>: This ZIP folder contains input files for demographic reconstructions in STAIRWAY PLOT.
DOI: 10.6084/m9.figshare.24542464.v1
title: Demographic and conservation genomic assessment of the threatened marbled teal (<i>Marmaronetta angustirostris</i>)

description: <b>Samples.xlsx</b>: Description of individual and population codes used in the different analyses and genetic datasets.<b>mtDNA_DNAsp.txt</b>: Input file used to calculate genetic diversity statistics in DNASP for the mtDNA dataset.<b>mtDNA_PopArt.txt</b>: Input file used to estimate the haplotype network in POPART for the mtDNA dataset.<b>mtDNA_Arlequin.arp</b>: Input file used to perform ARLEQUIN analyses for the mtDNA dataset.<b>R075minMAF001_R0.arp</b>: Input file used to perform ARLEQUIN analyses for the ddRAD-seq dataset.<b>R075minMAF001_R0.str</b>:<b> </b>Input file (ddRAD-seq data) used to perform genetic clustering (STRUCTURE) and principal component (PCA) analyses for wild and captive populations of marbled teal. The dataset only includes unrelated individuals (<i>φ</i><sub>ij</sub> ≤ 0).<b>R075minMAF001_R0_Wild.str</b>: Input file (ddRAD-seq data) used to perform genetic clustering (STRUCTURE) and principal component (PCA) analyses for wild populations of marbled teal. The dataset only includes unrelated individuals (<i>φ</i><sub>ij</sub> ≤ 0).<b>R075minMAF001.haps.radpainter</b>:<b> </b>Input file (ddRAD-seq data) used to perform FINERADSTRUCTURE analyses including all individuals.<b>R075minMAF001_R0.haps.radpainter</b>: Input file (ddRAD-seq data) used to perform FINERADSTRUCTURE analyses. The dataset only includes unrelated individuals (<i>φ</i><sub>ij</sub> ≤ 0).<b>FASTSIMCOAL2.zip</b>: This ZIP folder contains input files for demographic analyses in FASTSIMCOAL2.<b>STAIRWAYPLOT.zip</b>: This ZIP folder contains input files for demographic reconstructions in STAIRWAY PLOT.
DOI: 10.21227/nbe7-zf22
title: Exploring the Impact Path of Carbon Information Disclosure on Equity Financing Costs

description: Carbon information disclosure has become a threshold for equity financing of listed companies in china. Therefore, it is of great significance to explore the relationship between carbon information disclosure and equity financing costs. This study analyzes the carbon disclosure and equity financing cost data of 1731 A-share listed companies in Shanghai and Shenzhen from 2013 to 2021, panel data models and instrumental variables are used. The results show that the improvement of carbon information disclosure quality significantly reduces the equity financing costs of enterprises. Furthermore, the study uses a combination of QCA and NCA methods to explore the impact path of carbon information disclosure on equity financing costs. The results indicate that there are three paths that can reduce equity financing costs, namely the carbon information disclosure packaging path for high-carbon-emitting enterprises, the diversified financing path for non-high-quality enterprises, and the analysts-manipulating financing path for low-carbon-emitting enterprises. This study deepens the understanding of the relationship between carbon information disclosure and equity financing, and has certain policy implications
DOI: 10.5281/zenodo.10060711
title: Supplementary materials of the article Mushrooms Adapted to Seawater: Two New Species of  Candolleomyces (Basidiomycota, Agaricales) from China
DOI: 10.5281/zenodo.10060712
title: Supplementary materials of the article Mushrooms Adapted to Seawater: Two New Species of  Candolleomyces (Basidiomycota, Agaricales) from China
DOI: 10.5281/zenodo.10394228
title: МЕЖБАНКОВСКАЯ КОНКУРЕНЦИЯ И ОЦЕНКА КОНКУРЕНТОСПОСОБНОСТИ КОММЕРЧЕСКИХ БАНКОВ В РЕСПУБЛИКЕ УЗБЕКИСТАН
DOI: 10.5281/zenodo.10394229
title: МЕЖБАНКОВСКАЯ КОНКУРЕНЦИЯ И ОЦЕНКА КОНКУРЕНТОСПОСОБНОСТИ КОММЕРЧЕСКИХ БАНКОВ В РЕСПУБЛИКЕ УЗБЕКИСТАН