cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17030782
title: Additional file 19 of Resequencing of 388 cassava accessions identifies valuable loci and selection for variation in heterozygosity

description: Additional file 19: Table S19. Expression of the genes related to growth and development within selection sweeps with both decreases in heterozygosity and nucleotide (above 99% threshold) during cassava domestication.
DOI: 10.6084/m9.figshare.17031067
title: Additional file 3 of Estradiol increases risk of topoisomerase IIβ-mediated DNA strand breaks to initiate Xp11.2 translocation renal cell carcinoma

description: Additional file 2. Results of putative transcription factors that can bind to the promoter region of TFE3.
DOI: 10.6084/m9.figshare.15982315
title: Additional file 1 of Investigation of cell wall proteins of C. sinensis leaves by combining cell wall proteomics and N-glycoproteomics

description: Additional file 1: Table S1. Proteins identified from C. sinensis leaves by cell wall proteomics.
DOI: 10.6084/m9.figshare.17030785
title: Additional file 1 of Resequencing of 388 cassava accessions identifies valuable loci and selection for variation in heterozygosity

description: Additional file 1: Table S1. All cassava accessions resequenced.
DOI: 10.6084/m9.figshare.15982434
title: Additional file 7 of Genome-wide identification and function analysis of HMAD gene family in cotton (Gossypium spp.)

description: Additional file 7 : Table S4. Primers of qRT-PCR used in this study.
DOI: 10.6084/m9.figshare.21225873.v1
title: Additional file 3 of LncRNA FAM83H-AS1 promotes the malignant progression of pancreatic ductal adenocarcinoma by stabilizing FAM83H mRNA to protect β-catenin from degradation

description: Additional file 3: Table S3. The basic clinical characteristics of patients in serum test.
DOI: 10.6084/m9.figshare.21225873
title: Additional file 3 of LncRNA FAM83H-AS1 promotes the malignant progression of pancreatic ductal adenocarcinoma by stabilizing FAM83H mRNA to protect β-catenin from degradation

description: Additional file 3: Table S3. The basic clinical characteristics of patients in serum test.
DOI: 10.5281/zenodo.10048789
title: Supporting datasets for Cisneros et al. 2023

description: Supporting datasets for Cisneros et al., 2023. Mutational biases contribute to the neutral complexification of protein interaction networks following gene duplication.
DOI: 10.5281/zenodo.10048861
title: Supporting datasets for Cisneros et al. 2024

description: Supporting datasets for Cisneros et al., 2024. Mutational biases promote neutral increases in the complexity of protein interaction networks following gene duplication.
DOI: 10.5281/zenodo.10048788
title: Supporting datasets for Cisneros et al. 2024

description: Supporting datasets for Cisneros et al., 2024. Mutational biases promote neutral increases in the complexity of protein interaction networks following gene duplication.
DOI: 10.5281/zenodo.10048842
title: Supporting datasets for Cisneros et al. 2023

description: Supporting datasets for Cisneros et al., 2023. Mutational biases contribute to the neutral complexification of protein interaction networks following gene duplication.
DOI: 10.6084/m9.figshare.15982324.v1
title: Additional file 4 of Investigation of cell wall proteins of C. sinensis leaves by combining cell wall proteomics and N-glycoproteomics

description: Additional file 4: Table S4. Plasma membrane proteins identified by cell wall proteomics.
DOI: 10.6084/m9.figshare.21433614
title: Press Releases COVID.xlsx

description: This dataset contains all press releases published by every member of the House of Representatives from their first mention of the COVID-19 pandemic in 2020 until May 30, 2020. Notes about missing data: Press releases for former Representative Anthony Brindisi (NY-22) could not be obtained via the Wayback Machine. Several seats were vacant during the time period noted, and others were filled in the middle of the time period. Chris Collins (NY-27) had no successor, Kwesi Mfume (MD-7) was sworn in on May 5, 2020, Mike Garcia (CA-25) assumed office on May 19, 2020 following the vacancy left by former Representative Katie Hill, Mark Meadows (NC-11) left his position as a Representative to become White House Chief of Staff on March 30, 2020, John Ratcliffe (TX-4) left his position on May 22, 2020, and Thomas Tiffany (WI-7) was sworn in on May 19, 2020 after former Representative Sean Duffy resigned in 2019.
DOI: 10.5281/zenodo.7265974
title: Raw time series of GNSS sites used in the manuscript 'South China plate motion modified by 2008 Mw7.9 great Wenchuan earthquake'

description: The *.pre.*.neu files are raw position time series before the Wenchuan earthquake (from July 2001 to December 2004) and the *.aft.*.neu files are the raw position time series after the Wenchuan earthquake (from July 2014 to December 2017). The file 'breaks' contains the epoches of breaks due to equipment changes or that are indentified visually.
DOI: 10.5281/zenodo.7265973
title: Raw time series of GNSS sites used in the manuscript 'South China plate motion modified by 2008 Mw7.9 great Wenchuan earthquake'

description: The *.pre.*.neu files are raw position time series before the Wenchuan earthquake (from July 2001 to December 2004) and the *.aft.*.neu files are the raw position time series after the Wenchuan earthquake (from July 2014 to December 2017). The file 'breaks' contains the epoches of breaks due to equipment changes or that are indentified visually.
DOI: 10.5281/zenodo.6567751
title: 2D Synthetic Training Data For SyMBac

description: Synthetic training datasets, used to train models to segment <em>B. subtilis </em>growing in mother machine (100x oil, phase contrast) <em>E. coli </em>growing on agar pads (100x oil, phase contrast) <em>E. coli </em>streaked onto agar pads (60x air, fluorescence) <em>E. coli </em>growing in a microfluidic turbidostat (100x oil, phase contrast)
DOI: 10.5281/zenodo.7265883
title: Dataset for: Synthetic Micrographs of Bacteria (SyMBac) Allows Accurate Segmentation of Bacterial Cells Using Deep Neural Networks

description: Datasets for the paper Synthetic Micrographs of Bacteria (SyMBac) Allows Accurate Segmentation of Bacterial Cells Using Deep Neural Networks, published in BMC Biology.
DOI: 10.6084/m9.figshare.21433545.v1
title: The data for the manuscript "Combining paleomagnetic and Re–Os isotope data to date hydrocarbon generation and accumulation processes"

description: The manuscript "Combining paleomagnetic and Re–Os isotope data to date hydrocarbon generation and accumulation processes" is submitted to the journal JGR, and the data here were used to support the viewpoints in the manuscript. This dataset include paleomagnetic, rock magnetic and geochemical data, which were present in one excle file and four word files.
DOI: 10.6084/m9.figshare.21434020
title: Additional file 1 of Mutation of the MYH3 gene causes recessive cleft palate in Limousine cattle

description: Additional file 1: Table S1. List of the disorders in animals (except man, mouse, rat and zebrafish) which include “cleft palate” as a clinical sign. All the data originate from OMIA (Online Mendelian Inheritance in Animals, www.omia.org ). All the cattle disorders are written in bold. AR: autosomal recessive; AD: autosomal dominant; UK: unknown.
DOI: 10.6084/m9.figshare.21434020.v1
title: Additional file 1 of Mutation of the MYH3 gene causes recessive cleft palate in Limousine cattle

description: Additional file 1: Table S1. List of the disorders in animals (except man, mouse, rat and zebrafish) which include “cleft palate” as a clinical sign. All the data originate from OMIA (Online Mendelian Inheritance in Animals, www.omia.org ). All the cattle disorders are written in bold. AR: autosomal recessive; AD: autosomal dominant; UK: unknown.
DOI: 10.6084/m9.figshare.21434023.v1
title: Additional file 2 of Mutation of the MYH3 gene causes recessive cleft palate in Limousine cattle

description: Additional file 2: Table S2. Characteristics of the 26 Limousine CP-affected animals described in this study.
DOI: 10.6084/m9.figshare.21434023
title: Additional file 2 of Mutation of the MYH3 gene causes recessive cleft palate in Limousine cattle

description: Additional file 2: Table S2. Characteristics of the 26 Limousine CP-affected animals described in this study.
DOI: 10.6084/m9.figshare.21434029
title: Additional file 4 of Mutation of the MYH3 gene causes recessive cleft palate in Limousine cattle

description: Additional file 4: Table S3. Frequency analysis of the MYH3 mutations in 834,792 animals from 14 commercial breeds based on genotyping with EuroG10k v8 and EuroGMD SNP chips. The two mutations are totally linked, thus the frequency is the same for both mutations. freq_WTall: frequency of the WT allele; freq_MUTall: frequency of the mutated allele.
DOI: 10.6084/m9.figshare.21434029.v1
title: Additional file 4 of Mutation of the MYH3 gene causes recessive cleft palate in Limousine cattle

description: Additional file 4: Table S3. Frequency analysis of the MYH3 mutations in 834,792 animals from 14 commercial breeds based on genotyping with EuroG10k v8 and EuroGMD SNP chips. The two mutations are totally linked, thus the frequency is the same for both mutations. freq_WTall: frequency of the WT allele; freq_MUTall: frequency of the mutated allele.
DOI: 10.6084/m9.figshare.21434047
title: Additional file 1 of Estimating the burden of diseases attributable to lead exposure in the North Africa and Middle East region, 1990–2019: a systematic analysis for the Global Burden of Disease study 2019

description: Additional file 1. Global burden of disease classification for levels of environmental risk factors, their attributable causes, and the different causes attributable to lead exposure.
DOI: 10.6084/m9.figshare.21434047.v1
title: Additional file 1 of Estimating the burden of diseases attributable to lead exposure in the North Africa and Middle East region, 1990–2019: a systematic analysis for the Global Burden of Disease study 2019

description: Additional file 1. Global burden of disease classification for levels of environmental risk factors, their attributable causes, and the different causes attributable to lead exposure.
DOI: 10.5281/zenodo.7266048
title: Condition-based maintenance with imperfect inspection for a multi-state system subject to competing and hidden failures

description: Data are used to draw figures and tables.
DOI: 10.5281/zenodo.7266047
title: Condition-based maintenance with imperfect inspection for a multi-state system subject to competing and hidden failures

description: Data are used to draw figures and tables.
DOI: 10.6084/m9.figshare.21434274
title: net.temp.var.csv

description: Plant-pollinator interactions in a Japanese agricultural landscape. This data includes interaction data in five semi-natural grasslands in six days, the time of day when the observation was conducted, and the temperature data obtained from the database of the Japan Meteorological Agency.
DOI: 10.6084/m9.figshare.21434274.v1
title: net.temp.var.csv

description: Plant-pollinator interactions in a Japanese agricultural landscape. This data includes interaction data in five semi-natural grasslands in six days, the time of day when the observation was conducted, and the temperature data obtained from the database of the Japan Meteorological Agency.
DOI: 10.5281/zenodo.7265859
title: Data for: Two-dimensional infrared-Raman spectroscopy as a probe of water's tetrahedrality

description: Data for publication: T. Begusic and G. A. Blake, Two-dimensional infrared-Raman spectroscopy as a probe of water’s tetrahedrality (2022). Contains raw data, processed data, and processing and plotting scripts for the results presented in the manuscript. See README files enclosed in the dataset for details about the files and directories. Main results were produced with codes available at https://github.com/tbegusic/i-pi and https://github.com/tbegusic/encorr.
DOI: 10.26180/21342090.v1
title: Data from "Hot Jupiter engulfment by a red giant in 3D hydrodynamics"

description: Data used for producing the figures in the publication "Hot Jupiter engulfment by a red giant in 3D hydrodynamics" (https://arxiv.org/abs/2210.15848). <br> Contains MESA profile and model of the red giant star, the MESA inlist used to generate the star, core-softened profile of the red giant, selected simulation snapshots, selected velocity profiles, and other data used to reproduce figures in the publication. See README for details.
DOI: 10.26180/21342090
title: Data from "Hot Jupiter engulfment by a red giant in 3D hydrodynamics"

description: Data used for producing the figures in the publication "Hot Jupiter engulfment by a red giant in 3D hydrodynamics" (https://arxiv.org/abs/2210.15848). <br> Contains MESA profile and model of the red giant star, the MESA inlist used to generate the star, core-softened profile of the red giant, selected simulation snapshots, selected velocity profiles, and other data used to reproduce figures in the publication. See README for details.
DOI: 10.5281/zenodo.7266099
title: PERTEMUAN 8_31 OKTOBER 2022_AKUNTANSI UNTUK PENJUALAN ANGSURAN BARANG DAGANGAN _UNIVERSITAS GRESIK JAM.18.00-20.00

description: <strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong> setelah megikuti perkuliahan ini mahasiswa mampu mengerjakan akuntansi untuk penjualan angsuran barang dagangan.<br> <br> <strong>Indikator</strong><strong> </strong><strong>pembelajaran</strong><strong>:</strong><br> <strong>1</strong> Pengertian Penjualan Angsuran Barang Dagangan<br> 2. Masalah Pemilikan Kembali Barang Dagangan<br> 3. Masalah Tukar Tarn bah (Trade-In) Dalam Penjualan Angsuran<br> 4. Studi kasus tulis <strong>Pengertian.dari.Penjualan angsuran barang dagangan</strong> Penjualan angsuran barang dagangan merupakan suatu proses hampir akuntansinya sama dengan penjualan angsuran aktiva tetap. Perbedaannya terletak dari beberapa segi penjualan yaitu penjualan angsuran barang dagangan tidak memperhitungkan tingkat bungan angsuran, serta metode penggunannya dicatat dalam pengakuan laba dan hanya dengan metode laba yang diakui proposional dengan penerimaan kas. Beberapa ketentuan dalam penjualan angsuran aktiva tetap untuk penjualan angsuran barang dagangan yaitu : Pembayaran uang muka ( Down Payment ) Pembayaran yang dilaksanakan secara tunai sesuai dengan jumlah prsentase harga jual dagangan / yang telah ditentukan. Pembayaran uang tunai periodik sebagai pembayaran angsuran. Biaya besarnya pembayaran angsuran sudah ditentukan sebelumya / tergantung pada lamanya jangka waktu angsuran tersebut. Adapun ketentuan akuntansi untuk penjualan angsuran barang dagangan sebagai berikut : Laba diakui sebesar prsentase laba kotor dikalikan kas yang direalisasi dari penjualan angsuran. Piutang, penjualan dan LKBD dalam penjualan angsuran diberi tanda tahun terjadinya perhitungan tersebut. Pencatatan persediaan barang dagangan dapat menggunakan metode fisik / perpetual.
description: PERTEMUAN 8_31 OKTOBER 2022_AKUNTANSI UNTUK PENJUALAN ANGSURAN BARANG DAGANGAN _UNIVERSITAS GRESIK JAM.18.00-20.00
DOI: 10.5281/zenodo.7266098
title: PERTEMUAN 8_31 OKTOBER 2022_AKUNTANSI UNTUK PENJUALAN ANGSURAN BARANG DAGANGAN _UNIVERSITAS GRESIK JAM.18.00-20.00

description: <strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong> setelah megikuti perkuliahan ini mahasiswa mampu mengerjakan akuntansi untuk penjualan angsuran barang dagangan.<br> <br> <strong>Indikator</strong><strong> </strong><strong>pembelajaran</strong><strong>:</strong><br> <strong>1</strong> Pengertian Penjualan Angsuran Barang Dagangan<br> 2. Masalah Pemilikan Kembali Barang Dagangan<br> 3. Masalah Tukar Tarn bah (Trade-In) Dalam Penjualan Angsuran<br> 4. Studi kasus tulis <strong>Pengertian.dari.Penjualan angsuran barang dagangan</strong> Penjualan angsuran barang dagangan merupakan suatu proses hampir akuntansinya sama dengan penjualan angsuran aktiva tetap. Perbedaannya terletak dari beberapa segi penjualan yaitu penjualan angsuran barang dagangan tidak memperhitungkan tingkat bungan angsuran, serta metode penggunannya dicatat dalam pengakuan laba dan hanya dengan metode laba yang diakui proposional dengan penerimaan kas. Beberapa ketentuan dalam penjualan angsuran aktiva tetap untuk penjualan angsuran barang dagangan yaitu : Pembayaran uang muka ( Down Payment ) Pembayaran yang dilaksanakan secara tunai sesuai dengan jumlah prsentase harga jual dagangan / yang telah ditentukan. Pembayaran uang tunai periodik sebagai pembayaran angsuran. Biaya besarnya pembayaran angsuran sudah ditentukan sebelumya / tergantung pada lamanya jangka waktu angsuran tersebut. Adapun ketentuan akuntansi untuk penjualan angsuran barang dagangan sebagai berikut : Laba diakui sebesar prsentase laba kotor dikalikan kas yang direalisasi dari penjualan angsuran. Piutang, penjualan dan LKBD dalam penjualan angsuran diberi tanda tahun terjadinya perhitungan tersebut. Pencatatan persediaan barang dagangan dapat menggunakan metode fisik / perpetual.
description: PERTEMUAN 8_31 OKTOBER 2022_AKUNTANSI UNTUK PENJUALAN ANGSURAN BARANG DAGANGAN _UNIVERSITAS GRESIK JAM.18.00-20.00
DOI: 10.25919/afw2-1980
title: Southern Surveyor Voyage SS2009_V01 End of Voyage (EOV) Archive

description: This record describes the End of Voyage (EOV) archive from the Marine National Facility (MNF) RV Southern Surveyor transit voyage SS2009_V01, titled "Monitoring Ocean Climate Change Around Australia: Deep Ocean Time Series Section (DOTSS) along 170ºW between 50ºS and the Equator." The voyage took place from Wellington (NZ) to Suva (Fiji) between February 2 and March 23, 2009 (UTC). For further information please refer to the lineage statement and voyage documentation links below. The archive for the SS2009_V01 EOV raw data is curated by the CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre (IDC) in Hobart, with a permanent digital archive at the CSIRO Data Access Portal (DAP, https://data.csiro.au/dap/), providing access to participants and processors of the data collected in the voyage. All voyage documentation is available electronically to MNF support via the local network. Access to voyage documentation for non-CSIRO participants can be made via NCMI_DataLibrarians@csiro.au.
DOI: 10.6084/m9.figshare.21405531
title: Mangrove Forests Land Area and Crown Surface Cover Area Data

description: Mangrove ecosystems play a dominant role in global tropical and subtropical coastal wetlands. Remote sensing has a central role in mangrove conservation, as it is the preferred tool for monitoring spatiotemporal distribution changes. Through Landsat remote sensing image data, this study employed support vector machine (SVM) machine learning and Res-UNet deep learning to monitor the changes of mangrove forests and crown surface cover were monitored in Hainan Island from 1991 to 2021. Additionally, based on the crown surface cover area of mangrove forests in Hainan Island, the influencing mechanisms were analyzed via dynamic changes and landscape patterns. The following is the data package of our research: 1. The data in the folder (Res-UNet Deep Learning Classification) the classification results of Res-UNet deep learning algorithm, as well as its accuracy verification results. 2. The data in the folder (Influential Mechanisms) contains the total population, urban population, and rural population, GDP and gross output fishery value and climatic data and Pearson correlation analysis index for Hainan Island during the study period. The total population, urban population, and rural population, GDP, gross output fishery value, and shelter forests planting area of Hainan Island were obtained from the Annual Statistical Report of Hainan Province, and the climate data is downloaded from WorldClim data website (https://www.worldclim.org/data/index.html). 3. The data in the folder (Landscape Patterns) is the landscape pattern index and the annual change rate of mangrove forest crown surface cover in Hainan Island. 4. The data in the folder (SVM Machine Learning Classification) is the classification results of SVM machine learning algorithm, as well as its accuracy verification results. 5. The data in the folder (Ground Survey) are the distribution range of mangrove forests and the distribution of dominant mangrove tree species obtained by the team members in the ground survey in 2020.
DOI: 10.6084/m9.figshare.21405531.v3
title: Mangrove Forests Land Area and Crown Surface Cover Area Data

description: Mangrove ecosystems play a dominant role in global tropical and subtropical coastal wetlands. Remote sensing has a central role in mangrove conservation, as it is the preferred tool for monitoring spatiotemporal distribution changes. Through Landsat remote sensing image data, this study employed support vector machine (SVM) machine learning and Res-UNet deep learning to monitor the changes of mangrove forests and crown surface cover were monitored in Hainan Island from 1991 to 2021. Additionally, based on the crown surface cover area of mangrove forests in Hainan Island, the influencing mechanisms were analyzed via dynamic changes and landscape patterns. The following is the data package of our research: 1. The data in the folder (Res-UNet Deep Learning Classification) the classification results of Res-UNet deep learning algorithm, as well as its accuracy verification results. 2. The data in the folder (Influential Mechanisms) contains the total population, urban population, and rural population, GDP and gross output fishery value and climatic data and Pearson correlation analysis index for Hainan Island during the study period. The total population, urban population, and rural population, GDP, gross output fishery value, and shelter forests planting area of Hainan Island were obtained from the Annual Statistical Report of Hainan Province, and the climate data is downloaded from WorldClim data website (https://www.worldclim.org/data/index.html). 3. The data in the folder (Landscape Patterns) is the landscape pattern index and the annual change rate of mangrove forest crown surface cover in Hainan Island. 4. The data in the folder (SVM Machine Learning Classification) is the classification results of SVM machine learning algorithm, as well as its accuracy verification results. The data in the folder (Ground Survey) are the distribution range of mangrove forests and the distribution of dominant mangrove tree species obtained by the team members in the ground survey in 2020.
DOI: 10.25919/dk5a-7k83
title: Soil and Landscape Grid National Soil Attribute Maps - 15 Bar Lower Limit Volumetric Water Content (Percent) (3 arc second resolution) Version 1

description: This is Version 1 of the Australian15 Bar Lower Limit Volumetric Water Content (L15) product of the Soil and Landscape Grid of Australia. The map gives a modelled estimate of the spatial distribution of L15 soil hydraulic property in soils across Australia. The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. Each product contains six digital soil attribute maps, and their upper and lower confidence limits, representing the soil attribute at six depths: 0-5cm, 5-15cm, 15-30cm, 30-60cm, 60-100cm and 100-200cm. These depths are consistent with the specifications of the GlobalSoilMap.net project (https://esoil.io/TERNLandscapes/Public/Pages/SLGA/Resources/GlobalSoilMap_specifications_december_2015_2.pdf). The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90 m pixels). Detailed information about the Soil and Landscape Grid of Australia can be found at - https://esoil.io/TERNLandscapes/Public/Pages/SLGA/index.html Attribute Definition: 15 Bar Lower Limit Volumetric Water Content Units: percent; Period (temporal coverage; approximately): 1950-2021; Spatial resolution: 3 arc seconds (approx 90m); Total number of gridded maps for this attribute: 18; Number of pixels with coverage per layer: 2007M (49200 * 40800); Data license : Creative Commons Attribution 4.0 (CC BY); Target data standard: GlobalSoilMap specifications; Format: Cloud Optimised GeoTIFF;