cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26188/25479160
title: DUN.protein.fasta

description: Marsupials exhibit highly specialized patterns of reproduction and development, making them uniquely valuable for comparative genomics studies with their sister lineage, eutherian (also known as placental) mammals. However, marsupial genomic resources still lag far behind those of eutherian mammals, limiting our insight into mammalian diversity. Here, we present a series of novel genomic resources for the fat-tailed dunnart (<em>Sminthopsis crassicaudata</em>), a mouse-like marsupial that, due to its ease of husbandry and <em>ex-utero</em> development, is emerging as a laboratory model. To enable wider use, we have generated a multi-tissue <em>de novo</em> transcriptome assembly of dunnart RNA-seq reads spanning 15 tissues. This highly representative transcriptome is comprised of 2,093,982 assembled transcripts, with a mean transcript length of 830 bp. The transcriptome mammalian BUSCO completeness score of 93% is the highest amongst all other published marsupial transcriptomes. Additionally, we report an improved fat-tailed dunnart genome assembly which is 3.23 Gb long, organized into 1,848 scaffolds, with a scaffold N50 of 72.64 Mb. The genome annotation, supported by assembled transcripts and <em>ab initio</em> predictions, revealed 21,622 protein-coding genes. Altogether, these resources will contribute greatly towards characterizing marsupial biology and mammalian genome evolution.
DOI: 10.6084/m9.figshare.25479202.v1
title: Female birds are more vulnerable to social isolation stress: involvement of the nonapeptide system

description: Here, we investigate the sex-specific impacts of SIS during the adolescence on social behavior of adulthood in zebra finches, to determine the corresponding changes in MT and VT contents in the social behavior network and pharmacologically validate the observed functions of nonapeptides in modulating social behavior. This may provide a comparative framework to unravel the neurobiological underpinnings of social behaviors in avian species and offer valuable insights into the adaptive significance and evolutionary trajectories of sociality and stress-coping mechanisms in vertebrates.
DOI: 10.6084/m9.figshare.25479202
title: Female birds are more vulnerable to social isolation stress: involvement of the nonapeptide system

description: Here, we investigate the sex-specific impacts of SIS during the adolescence on social behavior of adulthood in zebra finches, to determine the corresponding changes in MT and VT contents in the social behavior network and pharmacologically validate the observed functions of nonapeptides in modulating social behavior. This may provide a comparative framework to unravel the neurobiological underpinnings of social behaviors in avian species and offer valuable insights into the adaptive significance and evolutionary trajectories of sociality and stress-coping mechanisms in vertebrates.
DOI: 10.5281/zenodo.10874123
title: Data for "Misestimation of forest soil carbon and nitrogen stocks due to rock fragments: A case study of large number samples in a boreal forest watershed ecosystem of northeast China"

description: Here are the data for "Misestimation of forest soil carbon and nitrogen stocks due to rock fragments: A case study of large number samples in a boreal forest watershed ecosystem of northeast China", using the format of"excel".
DOI: 10.5281/zenodo.10874124
title: Data for "Misestimation of forest soil carbon and nitrogen stocks due to rock fragments: A case study of large number samples in a boreal forest watershed ecosystem of northeast China"

description: Here are the data for "Misestimation of forest soil carbon and nitrogen stocks due to rock fragments: A case study of large number samples in a boreal forest watershed ecosystem of northeast China", using the format of"excel".
DOI: 10.5281/zenodo.10873442
title: Data for China's low-carbon electricity system
DOI: 10.5281/zenodo.10873443
title: Data for China's low-carbon electricity system
DOI: 10.6084/m9.figshare.24600240
title: Annual, field-scale crop water consumption estimates

description: This dataset is made up of all agricultural lands in California's Central Valley, broken up into 70m pixels. It includes information on their characteristics (location, soil quality, topography), as well as their potential evapotranspiration (ET) and total ET (variable name ET_obs) for the years 2016, 2018, and 2019. Total ET is divided into naturally-occurring ET (variable name ET_pred) (the ET that would be present regardless of the presence of agriculture, if the field were fallow) and agricultural ET (variable name ag_ET) (the remainder).

Description of variables: 
x: Longitude (degrees)
y: Latitude (degrees)
year: Year 
cropnames: crop groups
subcropnames: crop type
Elevation: Elevation (meters)
Slope: Slope (radians)
Aspect: Aspect (radians)
Soil: California Storie Index
TWI: Topographic Wetness Index
NAME: County
coverage_fraction: fraction of pixel within the county
ET: Evapotranspiration (OpenET) (cm/month)
ET_pred: Naturally-occurring ET (Modelled) (cm/month)
PET: Potential evapotranspiration
ag_ET: Agricultural evapotranspiration (ET - ET_pred) (cm/month)
DOI: 10.6084/m9.figshare.25283617.v1
title: Deep-potential enabled multiscale simulation of gallium nitride devices on boron arsenide cooling substrates

description: The source data files for ''Deep-potential enabled multiscale simulation of gallium nitride devices on boron arsenide cooling substrates''
DOI: 10.6084/m9.figshare.25283617
title: Deep-potential enabled multiscale simulation of gallium nitride devices on boron arsenide cooling substrates

description: The source data files for ''Deep-potential enabled multiscale simulation of gallium nitride devices on boron arsenide cooling substrates''
DOI: 10.6084/m9.figshare.22656223
title: Landslide topology uncovers failure movements

description: The data contains the curated landslide shapefiles of Italy, the US Pacific Northwest, Denmark and Wenchuan, China.
DOI: 10.6084/m9.figshare.23821104.v1
title: Dataset and code used in "Nitrogen and phosphorus trends in lake sediments of China may diverge”, 2024, Nature communications

description: New 8 cores, include its Pb/Cs dating data, and TN, TP concentrations. 
The all TN, TP records of Chinese lakes in this research, Nutrient Dataset of Chinese Lakes v1.0_1yr-inter.xlsx. 
Code examples.txt, and source data of figures(Fig. 2, 3, 4 and Supplementary Fig. 1, 2, 3, 4, 6, 8, 10, 11, 12, 13).
DOI: 10.6084/m9.figshare.23821104
title: Dataset and code used in "Nitrogen and phosphorus trends in lake sediments of China may diverge”, 2024, Nature communications

description: New 8 cores, include its Pb/Cs dating data, and TN, TP concentrations. 
The all TN, TP records of Chinese lakes in this research, Nutrient Dataset of Chinese Lakes v1.0_1yr-inter.xlsx. 
Code examples.txt, and source data of figures(Fig. 2, 3, 4 and Supplementary Fig. 1, 2, 3, 4, 6, 8, 10, 11, 12, 13).
DOI: 10.6084/m9.figshare.24106620.v1
title: source data

description: source data file
DOI: 10.6084/m9.figshare.24106620
title: source data

description: source data file
DOI: 10.21227/drdp-m394
title: direct macro

description: Direct Macro is your go-to destination for reliable buy network switch, designed to meet the rigorous demands of data centers and enterprise environments. Our server hard drives deliver exceptional performance, high capacity, and enhanced reliability to ensure seamless data storage and retrieval for your critical operations. Trust Direct Macro for top-quality server storage solutions.
DOI: 10.34740/kaggle/dsv/7944423
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.10873759
title: BROKEN:GhOST Artifact Evaluation
DOI: 10.5281/zenodo.10873760
title: GhOST Artifact Evaluation
DOI: 10.5281/zenodo.10874181
title: BROKEN:GhOST Artifact Evaluation
DOI: 10.25955/25479220
title: ARDC IU Federation University Survey 2022 response dataset

description: The Australian Research Data Commons (ARDC) in 2021 commenced the Institutional Underpinnings (IU) project, a collaborative project between 25 of Australia’s universities to develop a shared approach to university research data management in the form of a nationally-agreed framework. During 2021, participating institutions, including Federation University Australia, prioritised and developed an initial series of eight ‘elements’ of such a framework. Phase Two of the IU project (until August 2022) involved the testing of one of more of these elements by each participating University, with Phase Three (August until November 2022) using data from the testing phase to finalise the national framework.Federation University Australia nominated a Phase Two project which would test the Culture Change element through undertaking a Scoping Study to identify current University practices, resources and infrastructure related to research data management, together with developing a plan to implement, achieve and monitor sustainable best practice RDM. This project was undertaken on the University’s behalf by Sae Ra Germaine (Manager of Member and Academic Services) and Emily Pyers (Business Analyst (Metadata & Repositories) from CAVAL Ltd.One component of this Phase Two Project was a survey of University researchers, with plans for follow up interviews with interested respondents to the Survey.This is the de-identified survey responses dataset. The survey questions, the proposed interview questions, and the analysis and report have also been made available for reuse under a CC BY 4.0 licence. The Survey responses analysis and report was undertaken by Carolyn Staines and Jennifer Corbett from the Federation University Centre for eResearch and Digital Innovation (CeRDI) on behalf of Federation University Library.
DOI: 10.25955/25479220.v1
title: ARDC IU Federation University Survey 2022 response dataset

description: The Australian Research Data Commons (ARDC) in 2021 commenced the Institutional Underpinnings (IU) project, a collaborative project between 25 of Australia’s universities to develop a shared approach to university research data management in the form of a nationally-agreed framework. During 2021, participating institutions, including Federation University Australia, prioritised and developed an initial series of eight ‘elements’ of such a framework. Phase Two of the IU project (until August 2022) involved the testing of one of more of these elements by each participating University, with Phase Three (August until November 2022) using data from the testing phase to finalise the national framework.Federation University Australia nominated a Phase Two project which would test the Culture Change element through undertaking a Scoping Study to identify current University practices, resources and infrastructure related to research data management, together with developing a plan to implement, achieve and monitor sustainable best practice RDM. This project was undertaken on the University’s behalf by Sae Ra Germaine (Manager of Member and Academic Services) and Emily Pyers (Business Analyst (Metadata & Repositories) from CAVAL Ltd.One component of this Phase Two Project was a survey of University researchers, with plans for follow up interviews with interested respondents to the Survey.This is the de-identified survey responses dataset. The survey questions, the proposed interview questions, and the analysis and report have also been made available for reuse under a CC BY 4.0 licence. The Survey responses analysis and report was undertaken by Carolyn Staines and Jennifer Corbett from the Federation University Centre for eResearch and Digital Innovation (CeRDI) on behalf of Federation University Library.
DOI: 10.5281/zenodo.10587497
title: Linked collectors and determiners for: Hymenoptera collection, Natural History Museum, University of Oslo.

description: Natural history specimen data linked to collectors and determiners held within, "Hymenoptera collection, Natural History Museum, University of Oslo". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/a4e7ff0a-f9c0-481a-88ed-5986ec86b24a using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/a4e7ff0a-f9c0-481a-88ed-5986ec86b24a. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.10587498
title: Linked collectors and determiners for: Hymenoptera collection, Natural History Museum, University of Oslo.

description: Natural history specimen data linked to collectors and determiners held within, "Hymenoptera collection, Natural History Museum, University of Oslo". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/a4e7ff0a-f9c0-481a-88ed-5986ec86b24a using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/a4e7ff0a-f9c0-481a-88ed-5986ec86b24a. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.10707322
title: Linked collectors and determiners for: Hymenoptera collection, Natural History Museum, University of Oslo.

description: Natural history specimen data linked to collectors and determiners held within, "Hymenoptera collection, Natural History Museum, University of Oslo". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/a4e7ff0a-f9c0-481a-88ed-5986ec86b24a using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/a4e7ff0a-f9c0-481a-88ed-5986ec86b24a. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.10874377
title: Linked collectors and determiners for: Hymenoptera collection, Natural History Museum, University of Oslo.

description: Natural history specimen data linked to collectors and determiners held within, "Hymenoptera collection, Natural History Museum, University of Oslo". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/a4e7ff0a-f9c0-481a-88ed-5986ec86b24a using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/a4e7ff0a-f9c0-481a-88ed-5986ec86b24a. Formatted as a Frictionless Data package.
DOI: 10.60795/dataset/rowvmq
title: Historical Photos of Lingnan University (1888 - Present)

description: This dataset comprises historical photos documenting Lingnan University's evolution from 1888 to its present status as Lingnan University in Hong Kong. It covers diverse historical moments and includes a curated selection of images aimed at preserving and presenting the institution's rich history.
DOI: 10.5281/zenodo.10587662
title: Linked collectors and determiners for: NMSA: Arthropod Collections (1900-2012).

description: Natural history specimen data linked to collectors and determiners held within, "NMSA: Arthropod Collections (1900-2012)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/aa4916c3-3dc7-4c90-9f8e-b81d986df153 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/aa4916c3-3dc7-4c90-9f8e-b81d986df153. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.10587663
title: Linked collectors and determiners for: NMSA: Arthropod Collections (1900-2012).

description: Natural history specimen data linked to collectors and determiners held within, "NMSA: Arthropod Collections (1900-2012)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/aa4916c3-3dc7-4c90-9f8e-b81d986df153 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/aa4916c3-3dc7-4c90-9f8e-b81d986df153. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.10707446
title: Linked collectors and determiners for: NMSA: Arthropod Collections (1900-2012).

description: Natural history specimen data linked to collectors and determiners held within, "NMSA: Arthropod Collections (1900-2012)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/aa4916c3-3dc7-4c90-9f8e-b81d986df153 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/aa4916c3-3dc7-4c90-9f8e-b81d986df153. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.10874476
title: Linked collectors and determiners for: NMSA: Arthropod Collections (1900-2012).

description: Natural history specimen data linked to collectors and determiners held within, "NMSA: Arthropod Collections (1900-2012)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/aa4916c3-3dc7-4c90-9f8e-b81d986df153 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/aa4916c3-3dc7-4c90-9f8e-b81d986df153. Formatted as a Frictionless Data package.
DOI: 10.34740/kaggle/dsv/7943748
title: Stable Diffusion汉化版WebUI 一键部署 含插件 模型
DOI: 10.5281/zenodo.7500844
title: scINRB: single-cell gene expression imputation with network regularization and bulk RNA-seq data

description: This data set contains simulation data sets and real data sets. The simulation data set contains five simulated data of different dropout rates generated by splatter simulation, with a total of 25 simulation data sets. Each rds file contains simulated dropout data, real data and bulk numbers generated. Real data includes Single cells and pseudo cells from the CellBench scRNA-seq benchmarking dataset and Five ENCODE(A549,GM12878,h1-hESC, IMR90, K562) cell lines.
DOI: 10.5281/zenodo.7500864
title: scINRB: single-cell gene expression imputation with network regularization and bulk RNA-seq data

description: This data set contains simulation data sets and real data sets. The simulation data set contains five simulated data of different dropout rates generated by splatter simulation, with a total of 25 simulation data sets. Each rds file contains simulated dropout data, real data and bulk numbers generated. Real data includes Single cells and pseudo cells from the CellBench scRNA-seq benchmarking dataset and Five ENCODE(A549,GM12878,h1-hESC, IMR90, K562) cell lines.
DOI: 10.5281/zenodo.7500879
title: scINRB: single-cell gene expression imputation with network regularization and bulk RNA-seq data

description: This data set contains simulation data sets and real data sets. The simulation data set contains five simulated data of different dropout rates generated by splatter simulation, with a total of 25 simulation data sets. Each rds file contains simulated dropout data, real data and bulk numbers generated. Real data includes Single cells and pseudo cells from the CellBench scRNA-seq benchmarking dataset and Five ENCODE(A549,GM12878,h1-hESC, IMR90, K562) cell lines.
DOI: 10.5281/zenodo.7501974
title: scINRB: single-cell gene expression imputation with network regularization and bulk RNA-seq data

description: This data set contains simulation data sets and real data sets. The simulation data set contains five simulated data of different dropout rates generated by splatter simulation, with a total of 25 simulation data sets. Each rds file contains simulated dropout data, real data and bulk numbers generated. Real data includes Single cells and pseudo cells from the CellBench scRNA-seq benchmarking dataset and Five ENCODE(A549,GM12878,h1-hESC, IMR90, K562) cell lines.
DOI: 10.5281/zenodo.7501990
title: scINRB: single-cell gene expression imputation with network regularization and bulk RNA-seq data

description: This data set contains simulation data sets and real data sets. The simulation data set includes five simulated data with different sizes, each of which contains five different dropout rates, generated by Splatter. Each .rds file contains simulated dropout data, real data and bulk data. Real data includes CellBench scRNA-seq benchmarking datasets and ENCODE cell line datasets.
DOI: 10.5281/zenodo.8177388
title: scINRB: single-cell gene expression imputation with network regularization and bulk RNA-seq data

description: This data set contains simulation data and experimental data. The simulation data set includes simulated data with five different sizes, each of which contains five different dropout rates, generated by Splatter. Each .rds file contains simulated dropout data, true data and bulk data. The experimental data set includes CellBench benchmarking scRNA-seq datasets, ENCODE cell line data, and HCA data.
DOI: 10.5281/zenodo.7500822
title: scINRB: single-cell gene expression imputation with network regularization and bulk RNA-seq data

description: This data set contains simulation data and experimental data.


The simulation data set includes simulated data with five different sizes, each of which contains five different dropout rates, generated by Splatter. Each .rds file contains simulated dropout data, true data and bulk data. 


The experimental data set includes CellBench benchmarking scRNA-seq datasets, ENCODE cell line data, and HCA data.
DOI: 10.5281/zenodo.7500823
title: scINRB: single-cell gene expression imputation with network regularization and bulk RNA-seq data

description: This data set contains simulation data sets and real data sets. The simulation data set contains five simulated data of different dropout rates generated by splatter simulation, with a total of 25 simulation data sets. Each rds file contains simulated dropout data, real data and bulk numbers generated. Real data includes Single cells and pseudo cells from the CellBench scRNA-seq benchmarking dataset and Five ENCODE(A549,GM12878,h1-hESC, IMR90, K562) cell lines.
DOI: 10.5281/zenodo.8223610
title: scINRB: single-cell gene expression imputation with network regularization and bulk RNA-seq data

description: This data set contains simulation data and experimental data.


The simulation data set includes simulated data with five different sizes, each of which contains five different dropout rates, generated by Splatter. Each .rds file contains simulated dropout data, true data and bulk data. 


The experimental data set includes CellBench benchmarking scRNA-seq datasets, ENCODE cell line data, and HCA data.
DOI: 10.34740/kaggle/ds/4670601
title: Stable Diffusion汉化版WebUI 一键部署 含插件 模型
DOI: 10.5281/zenodo.8399474
title: HBV Immunomics 10X and Smart-seq2 integrated data

description: Here, we established a single-cell RNA-sequencing (scRNA-seq) dataset of HBV immune responses in patients to contribute to a better understanding of the dysregulated immune response in CHB. We collected  blood samples of a well-defined cohort of CHB and healthy controls including a subset of matched blood and liver samples. scRNA-seq data of 55,825 total immune cells as well as 131,367 sorted HBV-specific, non-naive and PD1+ T cells was generated using the 10X Genomics platform (186,123 cells) and the full-length Smart-seq2 protocol (1,069 cells). This unique scRNA-seq dataset serves as a resource describing T cell responses in patients and offers the opportunity to explore transcriptional changes underlying HBV-related immune cell dysfunction in blood and liver tissue and to identify new targets or biomarkers for HBV-related immune exhaustion.


This dataset includes the 10X and Smart-seq2 integrated data.