cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10199144
title: Dataset for Log Parsing: How Far Can Llama-2 and ChatGpt Go?

description: We present the results of our method on a new version of this benchmark, which has 2,000 log messages with manual annotations. we choose Loghub as it is a public resource of system logs for AI-based log analysis research. It contains logs from real and lab systems, without any changes or modifications. We use datasets from LogPAI, a research platform for log anomaly detection and analysis. LogPAI provides the most comprehensive collection of log datasets, covering different systems such as distributed, supercomputer, operating system, mobile, server and software systems.
DOI: 10.57841/casdc.0003172
title: 向心透平闭式叶轮迷宫密封泄漏特性研究
DOI: 10.57841/casdc.0003173
title: Co单原子修饰Fe2O3光阳极||Ag-Pd阴极光驱动无偏压合成气制备数据集
DOI: 10.57841/casdc.0003174
title: 通过磷-氧键合FeNi催化剂和BiVO4作为高效稳定太阳能水分解光阳极开发数据集
DOI: 10.57841/casdc.0003175
title: 单原子Bi装饰Cu合金实现C−C偶联，实现CO2的电催化还原到C2+产品数据集
DOI: 10.57841/casdc.0003176
title: 一维磷化镍多晶型异质结作为负载单原子铱的无碳功能载体促进电催化水氧化数据集
DOI: 10.5281/zenodo.10199227
title: 1.in

description: v2
DOI: 10.5281/zenodo.10199230
title: 2.in
DOI: 10.5281/zenodo.10199226
title: 2.in
DOI: 10.6084/m9.figshare.24615792
title: GSearch_k16_s18000_n128_ef1600_optdens.tar.gz

description: Graph database for HNSW and MinHash
DOI: 10.6084/m9.figshare.24615792.v1
title: GSearch_k16_s18000_n128_ef1600_optdens.tar.gz

description: Graph database for HNSW and MinHash
DOI: 10.6084/m9.figshare.23685360
title: The annotation files of two mahogany species

description: 1. Swietenia_macrophylla_10X.cds.zip, Swietenia_macrophylla_10X.cds.z01，Swietenia_macrophylla_10X.cds.z02，Khaya_senegalensis_10X.cds.zip，Khaya_senegalensis_10X.cds.z01，Khaya_senegalensis_10X.cds.z02，Swietenia_macrophylla_10X.gff.gz，Khaya_senegalensis_10X.gff.gz，Swietenia_macrophylla_10X.pep.gz，Khaya_senegalensis_10X.pep.gz were the annotation files of the 10X version geome assembly. 2. Swietenia_macrophylla_HiC.cds.zip，Swietenia_macrophylla_HiC.cds.z01，Swietenia_macrophylla_HiC.cds.z02，Khaya_senegalensis_HiC.cds.zip，Khaya_senegalensis_HiC.cds.z01，Khaya_senegalensis_HiC.cds.z02, Swietenia_macrophylla_HiC.gff.gz，Khaya_senegalensis_HiC.gff.gz，Swietenia_macrophylla_HiC.pep.gz，Khaya_senegalensis_HiC.pep.gz were the annotation files of the chromosomes version geome assembly. 3.Swietenia_macrophylla_10X.cds,Swietenia_macrophylla_HiC.cds,Khaya_senegalensis_HiC.cds and Khaya_senegalensis_10X.cds have been compressed into separate volumes due to the size of the files. 4.Swietenia_macrophylla.miRNA,Swietenia_macrophylla.rRNA.gff,Swietenia_macrophylla.snRNA.gff,Swietenia_macrophylla.tRNA.gff,Khaya_senegalensis.miRNA.gff,Khaya_senegalensis.rRNA.gff,Khaya_senegalensis.snRNA.gff,Khaya_senegalensis.tRNA.gff were the annotation files of ncRNA. 5.Swietenia_macrophylla_pseudogene.xlsx and Khaya_senegalensis_pseudogene.xlsx were the files of pseudogenes.
DOI: 10.6084/m9.figshare.23685360.v1
title: The annotation files of two mahogany species

description: 1. Swietenia_macrophylla_10X.cds.zip, Swietenia_macrophylla_10X.cds.z01，Swietenia_macrophylla_10X.cds.z02，Khaya_senegalensis_10X.cds.zip，Khaya_senegalensis_10X.cds.z01，Khaya_senegalensis_10X.cds.z02，Swietenia_macrophylla_10X.gff.gz，Khaya_senegalensis_10X.gff.gz，Swietenia_macrophylla_10X.pep.gz，Khaya_senegalensis_10X.pep.gz were the annotation files of the 10X version geome assembly. 2. Swietenia_macrophylla_HiC.cds.zip，Swietenia_macrophylla_HiC.cds.z01，Swietenia_macrophylla_HiC.cds.z02，Khaya_senegalensis_HiC.cds.zip，Khaya_senegalensis_HiC.cds.z01，Khaya_senegalensis_HiC.cds.z02, Swietenia_macrophylla_HiC.gff.gz，Khaya_senegalensis_HiC.gff.gz，Swietenia_macrophylla_HiC.pep.gz，Khaya_senegalensis_HiC.pep.gz were the annotation files of the chromosomes version geome assembly. 3.Swietenia_macrophylla_10X.cds,Swietenia_macrophylla_HiC.cds,Khaya_senegalensis_HiC.cds and Khaya_senegalensis_10X.cds have been compressed into separate volumes due to the size of the files. 4.Swietenia_macrophylla.miRNA,Swietenia_macrophylla.rRNA.gff,Swietenia_macrophylla.snRNA.gff,Swietenia_macrophylla.tRNA.gff,Khaya_senegalensis.miRNA.gff,Khaya_senegalensis.rRNA.gff,Khaya_senegalensis.snRNA.gff,Khaya_senegalensis.tRNA.gff were the annotation files of ncRNA. 5.Swietenia_macrophylla_pseudogene.xlsx and Khaya_senegalensis_pseudogene.xlsx were the files of pseudogenes.
DOI: 10.21227/v2vf-3r56
title: AC Power Comsumption Dataset

description: This dataset offers a unique compilation of AC power consumption signals from four different computing devices, encompassing a variety of software applications. Each entry in the dataset meticulously records the intricate fluctuations in power usage as specific software programs are initiated and terminated, providing a 40-second window into the energy profile of each application. With a high-resolution sampling rate of 44100Hz, the dataset captures the nuanced energy demands placed on the electrical infrastructure, conforming to the 220V, 50Hz standard. Tailored for researchers delving into the realm of non-intrusive profiling and power side-channel analysis, this dataset serves as a foundational tool for advancing the detection of software activity through power consumption patterns. The diversity of devices and operating systems included—ranging from various Windows laptops to Linux desktops—presents a comprehensive resource for developing and benchmarking algorithms aimed at identifying and categorizing power usage signatures within the growing field of cyber-physical system security.
DOI: 10.5281/zenodo.10199220
title: Dihydrofolate reductase Laue X-ray data

description: A data set containing raw mccd files taken at BioCARS of DHFR crystals. Also attached are Precognition analyses of the data, as well as a mask file intended to be used with a DIALS analysis.
DOI: 10.5281/zenodo.6407156
title: Dihydrofolate reductase Laue X-ray data

description: A data set containing raw mccd files taken at BioCARS of DHFR crystals. Also attached are Precognition analyses of the data, as well as a mask file intended to be used with a DIALS analysis.
DOI: 10.5281/zenodo.6407157
title: Dihydrofolate reductase Laue X-ray data

description: A data set containing raw mccd files taken at BioCARS of DHFR crystals. Also attached are Precognition analyses of the data, as well as a mask file intended to be used with a DIALS analysis.
DOI: 10.6084/m9.figshare.24612330
title: rs Image Matching Based on GraphSAGE Node Classification

description: dataset for rs Image Matching Based on GraphSAGE Node Classification
DOI: 10.6084/m9.figshare.24612330.v1
title: rs Image Matching Based on GraphSAGE Node Classification

description: dataset for rs Image Matching Based on GraphSAGE Node Classification
DOI: 10.34740/kaggle/dsv/7031059
title: Monthly Bilateral USD Exchange Rates 2013-2023
DOI: 10.6084/m9.figshare.24616410
title: Peej_dataset

description: Peej data publication
DOI: 10.6084/m9.figshare.24616410.v1
title: Peej_dataset

description: Peej data publication
DOI: 10.25952/2nzw-kb57
title: Rhetorical Patterns of Interaction in TV Talk Shows (STVTSs) in the Arab World

description: The dataset consists of the analysis of 36 hours of interactional media exchange (MIE). The data were transcribed, translated from Arabic to English and then analysed in light of the two principal theories employed: the genre analysis framework model formulated by Swales (1990) and the politeness strategies framework model proposed by Brown and Levinson (1987).
description: The dataset consists of the analysis of 36 hours of interactional media exchange (MIE). The data were transcribed, translated from Arabic to English and then analysed in light of the two principal theories employed: the genre analysis framework model formulated by Swales (1990) and the politeness strategies framework model proposed by Brown and Levinson (1987).
DOI: 10.6084/m9.figshare.24465997.v1
title: CO<sub>2</sub> emissions from inland waters in Yangtze River Basin

description: This dataset mainly supports paper “ <b>Weakening anthropogenic effect leads to a significant decline in carbon dioxide emissions from inland waters of the Yangtze River Basin</b>”
DOI: 10.5281/zenodo.10184102
title: Combined bioinformatics and machine learning methodologies reveal prognosis-related ceRNA network and propose ABCA8, CAT, and CXCL12 as independent protective factors against osteosarcoma

description: Supplementary Table 1. Basic traits of the seven microarray datasets from the Gene Expression Omnibus and The Cancer Genome Atlas.
Supplementary Table 2. Basic characteristics of the nine differentially expressed circRNAs
Supplementary Table 3. Index of concordance (C-index) and variance inflation factor (VIF) of ABCA8, CXCL12, and CAT.
Supplementary Table 4. LASSO and cox analysis of ceRNA with coef/se(coef) < 0.01 and P-value of proportional hazards assumption (PH) > 0.05.
Supplementary Table 5. Robust rank aggregation analysis of ABCA8, CXCL12, and CAT. LogFC in the four datasets and RRA score of the three RNAs.
Supplementary Figure 1. Competitive endogenous RNA in osteosarcoma.
Supplementary Figure 2. Protein–protein interaction (PPI) network of genes in the competitive endogenous RNA network
Supplementary Figure 3. Proportional hazards assumption (left) and linearity assumption (right).
Supplementary Figure 4. Survival analysis for competitive endogenous RNA in osteosarcoma.
DOI: 10.5281/zenodo.10184103
title: Combined bioinformatics and machine learning methodologies reveal prognosis-related ceRNA network and propose ABCA8, CAT, and CXCL12 as independent protective factors against osteosarcoma

description: Supplementary Table 1. Basic traits of the seven microarray datasets from the Gene Expression Omnibus and The Cancer Genome Atlas.
Supplementary Table 2. Basic characteristics of the nine differentially expressed circRNAs
Supplementary Table 3. Index of concordance (C-index) and variance inflation factor (VIF) of ABCA8, CXCL12, and CAT.
Supplementary Table 4. LASSO and cox analysis of ceRNA with coef/se(coef) < 0.01 and P-value of proportional hazards assumption (PH) > 0.05.
Supplementary Table 5. Robust rank aggregation analysis of ABCA8, CXCL12, and CAT. LogFC in the four datasets and RRA score of the three RNAs.
Supplementary Figure 1. Competitive endogenous RNA in osteosarcoma.
Supplementary Figure 2. Protein–protein interaction (PPI) network of genes in the competitive endogenous RNA network
Supplementary Figure 3. Proportional hazards assumption (left) and linearity assumption (right).
Supplementary Figure 4. Survival analysis for competitive endogenous RNA in osteosarcoma.
DOI: 10.5281/zenodo.7501941
title: Clogging and Unclogging of Fine Particles in Porous Media: Micromechanical Insights from an Analog Pore System

description: Contain data for supporting and replicating the article results
DOI: 10.5281/zenodo.7501942
title: Clogging and Unclogging of Fine Particles in Porous Media: Implications from Fully Resolved Numerical Simulations at a Single Truncated Cone Pore

description: Contain data for supporting and replicating the article results
DOI: 10.5281/zenodo.7638893
title: Clogging and Unclogging of Fine Particles in Porous Media: Implications from Fully Resolved Numerical Simulations at a Single Truncated Cone Pore

description: Contain data for supporting and replicating the article results
DOI: 10.6084/m9.figshare.24616473.v1
title: The hydrophobic component of terrestrial dissolved organic nitrogen promotes shifting diatom–dinoflagellate dominance in the Bohai Sea

description: Human-induced nitrogen input is changing coastal ecosystems globally, and threatening the human the well-being associated with them. Dissolved organic nitrogen (DON) has gradually become the main form of nitrogen in the Bohai Sea (BS). Increasing DON concentrations and changing DON composition have been associated with harmful algal blooms and a regime shift from diatom to dinoflagellate dominance. However, the underlying mechanisms are still not well explored. Here we investigate the diatom–dinoflagellate dominance shift mechanism based on field microcosm experiments, the Nutrients–bi-Phytoplankton–Detritus (NbPD) biogeochemical model, and organic chemical analysis techniques (e.g. three-dimensional fluorescence spectrum of dissolved organic matter and activity determination of extracellular leucine aminopeptidase) in the BS. We found that shifting diatom–dinoflagellate dominance was associated with the hydrophobic component of terrestrial DON. Dinoflagellates, such as <i>Karenia mikimotoi</i>, can efficiently assimilate the humic-like substances in hydrophobic DON, whereas diatoms (<i>Chaetoceros </i>spp.) can efficiently utilize the protein-like components in hydrophilic DON. The reason for this is the higher extracellular leucine aminopeptidase activity of dinoflagellates compared to diatoms, which enables them to degrade humic-like substances and protein-like components more effectively. The modeling study revealed that DON composition, especially the proportion of hydrophobic DON, regulates the regime shift from diatoms to dinoflagellates. Our study offers insight into the mechanisms underlying phytoplankton regime shifts in the BS, which is valuable for decreasing eutrophication by controlling the input and composition of terrestrial DON.
DOI: 10.26186/149073
title: AHO Reference Surfaces Lombadina Point 0.5m 2023 (20230013R)

description: The Lombadina Point Reference Surfaces bathymetry survey was acquired for the Australian Hydrographic Office (AHO) on 28 Nov 2022. This surface was created from a contracted national reference survey at Lombadia Point WA, collected for the purpose of calibrating multibeam echosounders. It was conducted for the Australian Hydrographic Office as part of the Hydroscheme Industry Partnership Program, acquired using Kongsberg EM2040P MKII, and processed using Caris HIPS & SIPS. A grid in 0.5m resolution is provided for the surveyed site within this survey area in MSL, LAT and Ellipsoid vertical datum. The dataset was then exported as a 0.5m resolution, 32 bit floating point GeoTIFF grid of the survey area.This dataset is not to be used for navigational purposes.
DOI: 10.26186/149070
title: AHO Reference Surfaces Adelaide 1m 2023 (20230008R)

description: The Adelaide Reference Surfaces bathymetry survey was acquired for the Australian Hydrographic Office (AHO) during the period 4 Sep 2020 – 16 Sep 2020. This surface was created from a contracted national reference survey in Gulf St Vincent SA, collected for the purpose of calibrating multibeam echosounders. It was conducted for the Australian Hydrographic Office as part of the Hydroscheme Industry Partnership Program, acquired using Kongsberg EM 2040 multibeam echosounder and Kongsberg EA440 singlebeam echosounder, and processed using Caris HIPS & SIPS. Separate grids in 1m resolution are provided for the 2 surveyed sites within this survey area in MSL, LAT and Ellipsoid vertical datum. The dataset was then exported as a 1m resolution, 32 bit floating point GeoTIFF grid of the survey area.This dataset is not to be used for navigational purposes.
DOI: 10.26186/149074
title: AHO Reference Surfaces Broome 0.5m 2023 (20230010R)

description: The Broome Reference Surfaces bathymetry survey was acquired for the Australian Hydrographic Office (AHO) during the period 25 Sep 2020 - 26 Sep 2020. This surface was created from a contracted national reference survey between Gantheaume Point and Talboys Rock, Broome WA, collected for the purpose of calibrating multibeam echosounders. It was conducted for the Australian Hydrographic Office as part of the Hydroscheme Industry Partnership Program, acquired using Kongsberg EM 2040D, and processed using Caris HIPS & SIPS. A grid in 0.5m resolution is provided for the surveyed site within this survey area in MSL, LAT and Ellipsoid vertical datum. The dataset was then exported as a 0.5m resolution, 32 bit floating point GeoTIFF grid of the survey area.This dataset is not to be used for navigational purposes.
DOI: 10.15473/2217550
title: Co-Design of Marine Energy Converters for Autonomous Underwater Vehicle Docking and Recharging - Software and Data

description: Software and testing data from the OH Hinsdale Wave lab for DOE-funded project on Co-Design of Marine Energy Converters for Autonomous Underwater Vehicle Docking and Recharging. This project will perform foundational research and testing to accelerate the sector-wide development and deployment of marine energy converters to provide Power-At-Sea. Specifically, we seek to overcome known challenges and knowledge gaps for the successful co-design of coupled Wave Energy Converter (WEC)-Autonomous Underwater Vehicles (AUV) systems; systems designed and tested for WEC array system health and environmental monitoring applications. This project brings together an experienced, multi-institution, and multi-disciplinary team to focus on the co-design of marine energy (ME) technologies and AUV docking systems, including multi-body hydrodynamic modeling, active control, autonomy, and hardware interfaces necessary to enable new WEC-focused understanding, and allow for robust and ubiquitous AUV docking and recharging in real-world conditions.
DOI: 10.5281/zenodo.10199386
title: result data
DOI: 10.5281/zenodo.10199387
title: result data
DOI: 10.5281/zenodo.10199398
title: STEM images used for a paper Aberration-Corrected STEM to Determine the Surface Coverage and Distribution of Immobilized Molecular Complexes

description: Theses are all STEM images used to calculate the surface coverage and/or Ripley's K function presented in the paper "Aberration-Corrected STEM to Determine the Surface Coverage and Distribution of Immobilized Molecular Complexes"
DOI: 10.25952/dzy3-4t96
title: Engaging Stakeholder Participation to Improve Animal Management in a Remote Australian Aboriginal Community

description: This dataset was collected throughout a project focused on stakeholder participation in improving free-roaming companion animal management. This dataset includes: Community questionnaire results regarding Dog and Cat ownership, roaming behaviour results of dogs and cats using remote-sensing camera transects, transect drives and igotU GPS loggers, Interviews conducted to determine the frames of differing animal management stakeholders, the codebook used in NVIVO to analyse them and the results and Causal loop analyses conducted by 10 animal management stakeholder groups. This dataset also includes baseline data conducted before the start of the animal management intervention designed by the stakeholders, these include; door-to-door census data (dog population, proportion of dogs desexed, body condition scores, skin scores and turnover rates), parasitic infection counts conducted via faecal flotations and temporal and spatial roaming movements of dog using igotU GPS Loggers.
description: This dataset was collected throughout a project focused on stakeholder participation in improving free-roaming companion animal management. This dataset includes: Community questionnaire results regarding Dog and Cat ownership, roaming behaviour results of dogs and cats using remote-sensing camera transects, transect drives and igotU GPS loggers, Interviews conducted to determine the frames of differing animal management stakeholders, the codebook used in NVIVO to analyse them and the results and Causal loop analyses conducted by 10 animal management stakeholder groups. This dataset also includes baseline data conducted before the start of the animal management intervention designed by the stakeholders, these include; door-to-door census data (dog population, proportion of dogs desexed, body condition scores, skin scores and turnover rates), parasitic infection counts conducted via faecal flotations and temporal and spatial roaming movements of dog using igotU GPS Loggers.
DOI: 10.6084/m9.figshare.21899007
title: Data for: Inferring condition in wild mammals: body condition indices confer no benefit over measuring body mass across ecological contexts

description: Data associated with Wishart et al. <b>Inferring condition in wild mammals: body condition indices confer no benefit over measuring body mass across ecological contexts</b>. bioRxiv preprint: https://www.biorxiv.org/content/10.1101/2023.01.31.524791v3These tables contain morphometric data (right hind foot length in mm, zygomatic width in mm), body composition data (fat mass and lean mass, as measured using quantitative magnetic resonance), body mass, and individual sex and identifiers. Full description of methods and research context are given in the above article.All procedures were approved by the University of Saskatchewan Animal Research Ethics Board. Fieldwork was completed under permits issued by Yukon Territorial Government (red squirrels); Grasslands National Park and the Saskatchewan Ministry of the Environment (prairie dogs); and Alberta Parks (ground squirrels).
DOI: 10.5281/zenodo.10154517
title: Ericaceous-dominated mountain shrublands classification in the French Alps

description: Ericaceous-dominated mountain shrublands classification in the French Alps produced using remote sensing approaches.
The attached filed is a GeoTiff corresponding to the final vegetation classification at 20m scale for the entire French Alps from paper "Uncovering the distribution and limiting factors of Ericaceae-dominated shrublands in the French Alps" published in Frontiers of Biogeography.
The legend is the following :
1 : Ericaceous-dominated mountain shrublands
2 : Grasslands
3 : Forests
4 : Bare soils
DOI: 10.5281/zenodo.10154518
title: Ericaceous-dominated mountain shrublands classification in the French Alps

description: Ericaceous-dominated mountain shrublands classification in the French Alps produced using remote sensing approaches.
The attached filed is a GeoTiff corresponding to the final vegetation classification at 20m scale for the entire French Alps from paper "Uncovering the distribution and limiting factors of Ericaceae-dominated shrublands in the French Alps" published in Frontiers of Biogeography.
The legend is the following :
1 : Ericaceous-dominated mountain shrublands
2 : Grasslands
3 : Forests
4 : Bare soils
DOI: 10.5281/zenodo.10199440
title: Long time-series (1980-2020) high-resolution (1km) and multi-depth soil organic carbon dataset in China
title: Historical and future variation of soil organic carbon in China

description: unit: kg C m-2 (soil oganic carbon density)
0100: denote 0-100 cm
020: denote 0-20 cm
Example 1980: 1980-1984 (five years mean soc)
DOI: 10.5281/zenodo.10199441
title: Long time-series (1980-2020) high-resolution (1km) and multi-depth soil organic carbon dataset in China
title: Historical and future variation of soil organic carbon in China

description: unit: kg C m-2 (soil oganic carbon density)
0100: denote 0-100 cm
020: denote 0-20 cm
Example 1980: 1980-1984 (five years mean soc)