cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/j6y9zpppt4.2
title: Exploring Optimal Deep Tunnel Sewer Systems to Enhance Urban Pluvial Flood Resilience in the Gangnam Region, South Korea

description: Urban pluvial flooding is becoming a global concern, exacerbated by urbanization and climate change, especially in rapidly developing areas where existing sewer systems lag behind growth. In order to minimize a system's functional failures during extreme rainfalls, localized engineering solutions are required for urban areas chronically suffering from pluvial floods. This study critically evaluates the Deep Tunnel Sewer System (DTSS) as a robust gray infrastructure solution for enhancing urban flood resilience, with a case study in the Gangnam region of Seoul, South Korea. To do so, we integrated a one-dimensional sewer model with a rapid flood spreading model to identify optimal routes and conduit diameters for the DTSS, focusing on four flood-related metrics: the total flood volume, the flood duration, the peak flooding rate, and the number of flooded nodes. Our research also developed the Intensity-Duration-Frequency (IDF) surfaces in three dimensions, providing a correlation between simulated flood-related metrics and design rainfall characteristics to distinguish the effect of DTSS on flood risk reduction. Our findings demonstrate how highly engineered solutions can enhance urban flood resilience, but they may still face challenges during extreme events. This study contributes valuable insights to assist in rational decision-making and emergency management in the face of increasing urban pluvial flood risks.
DOI: 10.4121/9f32fe66-ec63-4cad-bf6a-7e9fe62d68e8
title: Experimental Dataset of taut-leg mooring system for FOWT

description: This dataset contains the motion response in 6 degrees of freedom and the 3 mooring line tensions of a 1:96 model of the OC5 DeepCWind semisubmersible floating offshore wind turbine foundation with a taut-leg mooring system in waves. Experiments have been carried out in the #2 towing tank of Delft University of Technology using regular and irregular waves according to scaled-down site conditions offshore the Mediterranean island of Lampedusa with full-scale water depth of 100 m. Furthermore, multi-sine waves were employed for system identification. Two different mooring line configurations, one with linear springs and the other with nonlinear nylon mooring lines were tested under aforementioned wave conditions and with different mooring line pretension. Aerodynamic thrust force was emulated using a constant tension winch and stiff line connected at nacelle height on the floating turbine model. The applied aerodynamic load is reported along with the other data. All data is at model scale, low-pass filtered at 10 Hz, and reported in csv files with a sampling rate of 100 Hz.
DOI: 10.15151/esrf-es-1427432670
title: XNH of user experiments

description: XNH of user experiments
DOI: 10.17632/3dwkxtbnyt.1
title: Chemical compound identified in Bali honey (B2)

description: The predominant bee species in Indonesia, namely Apis mellifera, Apis cerana, Apis dorsata, and Trigona species (stingless bee), are known for their high honey production throughout the country. Indonesia, particularly in regions like Bali, is renowned for its rich biodiversity, providing abundant opportunities for these bee species to forage for nectar. This abundance of diverse plant species contributes to the high-quality honey they produce. This research analyses the chemical compositions of wild honey samples collected from Bali. The primary objective is to identify the specific chemical compounds within honey samples obtained from distinct regions of Bali. In this study, two honey samples were collected from different regions of Bali.
DOI: 10.17632/3dwkxtbnyt.2
title: Chemical compound identified in Bali honey (B2)

description: The predominant bee species in Indonesia, namely Apis mellifera, Apis cerana, Apis dorsata, and Trigona species (stingless bee), are known for their high honey production throughout the country. Indonesia, particularly in regions like Bali, is renowned for its rich biodiversity, providing abundant opportunities for these bee species to forage for nectar. This abundance of diverse plant species contributes to the high-quality honey they produce. This research analyses the chemical compositions of wild honey samples collected from Bali. The primary objective is to identify the specific chemical compounds within honey samples obtained from distinct regions of Bali. In this study, two honey samples were collected from different regions of Bali.
DOI: 10.6084/m9.figshare.24762369
title: SST diurnal cycle experiments based on FIO-ESM v2.0

description: Weak and strong SST diurnal cycle experiments based on FIO-ESM v2.0The first experiment, denoted as Exp_WDA, did not consider the sublayer parameterization scheme, resulting in a weak simulated diurnal variation with a small amplitude. In contrast, the second experiment, denoted as Exp_SDA, incorporated the sublayer parameterization scheme, resulting in a strong simulated diurnal variation with a large amplitude.
DOI: 10.6084/m9.figshare.24762369.v1
title: SST diurnal cycle experiments based on FIO-ESM v2.0

description: Weak and strong SST diurnal cycle experiments based on FIO-ESM v2.0The first experiment, denoted as Exp_WDA, did not consider the sublayer parameterization scheme, resulting in a weak simulated diurnal variation with a small amplitude. In contrast, the second experiment, denoted as Exp_SDA, incorporated the sublayer parameterization scheme, resulting in a strong simulated diurnal variation with a large amplitude.
DOI: 10.6084/m9.figshare.23298791
title: A Genomic Catalogue of Soil Microbiomes Boosts Mining of Biodiversity and Genetic Resources

description: Tremendous amounts of unidentified microbes harbored in soils are referred to as soil microbial dark matter and are arguably a crucial trove of microbial biodiversity and genetic resources. However, the diversity of microbial and genetic resources is unexcavated. Here we conducted the first large-scale excavation of soil microbial dark matter establishing the SMAG catalog by reconstructing 40,039 metagenome-assembled genomes (MAGs) from 3,304 soil metagenomes.
DOI: 10.6084/m9.figshare.23298791.v1
title: A Genomic Catalogue of Soil Microbiomes Boosts Mining of Biodiversity and Genetic Resources

description: Tremendous amounts of unidentified microbes harbored in soils are referred to as soil microbial dark matter and are arguably a crucial trove of microbial biodiversity and genetic resources. However, the diversity of microbial and genetic resources is unexcavated. Here we conducted the first large-scale excavation of soil microbial dark matter establishing the SMAG catalog by reconstructing 40,039 metagenome-assembled genomes (MAGs) from 3,304 soil metagenomes.
DOI: 10.5281/zenodo.10279601
title: Leveraging the Power of Unsupervised Learning for Flood Mapping
DOI: 10.5281/zenodo.10279602
title: Leveraging the Power of Unsupervised Learning for Flood Mapping
DOI: 10.6084/m9.figshare.22121489.v1
title: Output from the modelling of the depths of the BHSZ

description: This is the output of the modelling of the depth of the base of the hydrate stability zone (BHSZ) for the modern BHSZ and the BHSZ during from the Last Glacial Maximum. It is not the complete dataset, it is 65536 lines long. We can include the full dataset at a later stage.

The methodology is outlined in Methods.
DOI: 10.6084/m9.figshare.22121489
title: Output from the modelling of the depths of the BHSZ

description: This is the output of the modelling of the depth of the base of the hydrate stability zone (BHSZ) for the modern BHSZ and the BHSZ during from the Last Glacial Maximum. It is not the complete dataset, it is 65536 lines long. We can include the full dataset at a later stage.

The methodology is outlined in Methods.
DOI: 10.6084/m9.figshare.22985897.v1
title: Control of compound leaf patterning by MULTIPLE-PINNATE LEAF1 (MPL1) in chickpea

description: Description of Additional Supplementary Files

File Name: Supplementary Data 1.
Description: The information of 5 candidate genes on chromosome 8 by BSA-analysis.

File Name: Supplementary Data 2.
Description: RNA-seq read statistics of WT and the mpl1-1 mutant.

File Name: Supplementary Data 3.
Description: Selected DEGs in RNA-Seq analysis of the mpl1-1 mutant and WT.

File Name: Supplementary Data 4.
Description: 656 significantly down-regulated genes in mpl1-1 mutant compared to WT.

File Name: Supplementary Data 5.
Description: 1002 significantly up-regulated genes in mpl1-1 mutant compared to WT.

File Name: Supplementary Data 6.
Description: PCR primer sequences used in this study.

File Name: Supplementary Data 7.
Description: Alignment of all identified MPL1 homologs from different species (To open this file, you need to rename it as a .aln file and then open it by ClustalX 2.1).

File Name: Supplementary Data 8.
Description: Data of a full Maximum likelihood tree of MPL1 homologs (To open this file, you need to rename it as a .nwk file, and then open it by MEGA7).
DOI: 10.6084/m9.figshare.22985897
title: Control of compound leaf patterning by MULTIPLE-PINNATE LEAF1 (MPL1) in chickpea

description: Description of Additional Supplementary Files

File Name: Supplementary Data 1.
Description: The information of 5 candidate genes on chromosome 8 by BSA-analysis.

File Name: Supplementary Data 2.
Description: RNA-seq read statistics of WT and the mpl1-1 mutant.

File Name: Supplementary Data 3.
Description: Selected DEGs in RNA-Seq analysis of the mpl1-1 mutant and WT.

File Name: Supplementary Data 4.
Description: 656 significantly down-regulated genes in mpl1-1 mutant compared to WT.

File Name: Supplementary Data 5.
Description: 1002 significantly up-regulated genes in mpl1-1 mutant compared to WT.

File Name: Supplementary Data 6.
Description: PCR primer sequences used in this study.

File Name: Supplementary Data 7.
Description: Alignment of all identified MPL1 homologs from different species (To open this file, you need to rename it as a .aln file and then open it by ClustalX 2.1).

File Name: Supplementary Data 8.
Description: Data of a full Maximum likelihood tree of MPL1 homologs (To open this file, you need to rename it as a .nwk file, and then open it by MEGA7).
DOI: 10.17632/473vwznkdj.1
title: Chemical compound identified in Lombok honey (B1)

description: The predominant bee species in Indonesia, namely Apis mellifera, Apis cerana, Apis dorsata, and Trigona species (stingless bee), are known for their high honey production throughout the country. Indonesia, particularly in the region of Lombok, is renowned for its rich biodiversity, providing abundant opportunities for these bee species to forage for nectar. This abundance of diverse plant species contributes to the high-quality honey they produce. This research analyses the chemical compositions of wild honey samples collected from Bali and Lombok. The primary objective is to identify the specific chemical compounds within honey samples obtained from distinct regions of Bali and Lombok. In this study, a honey sample was collected from Lombok.
DOI: 10.17632/473vwznkdj.2
title: Chemical compound identified in Lombok honey (B1)

description: The predominant bee species in Indonesia, namely Apis mellifera, Apis cerana, Apis dorsata, and Trigona species (stingless bee), are known for their high honey production throughout the country. Indonesia, particularly in the region of Lombok, is renowned for its rich biodiversity, providing abundant opportunities for these bee species to forage for nectar. This abundance of diverse plant species contributes to the high-quality honey they produce. This research analyses the chemical compositions of wild honey samples collected from Bali and Lombok. The primary objective is to identify the specific chemical compounds within honey samples obtained from distinct regions of Bali and Lombok. In this study, a honey sample was collected from Lombok.
DOI: 10.17632/cdhspzm3v8.1
title: Chemical compound identified in Bali honey (B3)

description: The predominant bee species in Indonesia, namely Apis mellifera, Apis cerana, Apis dorsata, and Trigona species (stingless bee), are known for their high honey production throughout the country. Indonesia, particularly in regions like Bali, is renowned for its rich biodiversity, providing abundant opportunities for these bee species to forage for nectar. This abundance of diverse plant species contributes to the high-quality honey they produce. This research analyses the chemical compositions of wild honey samples collected from Bali. The primary objective is to identify the specific chemical compounds within honey samples obtained from distinct regions of Bali. In this study, two honey samples were collected from different regions of Bali.
DOI: 10.17632/cdhspzm3v8.2
title: Chemical compound identified in Bali honey (B3)

description: The predominant bee species in Indonesia, namely Apis mellifera, Apis cerana, Apis dorsata, and Trigona species (stingless bee), are known for their high honey production throughout the country. Indonesia, particularly in regions like Bali, is renowned for its rich biodiversity, providing abundant opportunities for these bee species to forage for nectar. This abundance of diverse plant species contributes to the high-quality honey they produce. This research analyses the chemical compositions of wild honey samples collected from Bali. The primary objective is to identify the specific chemical compounds within honey samples obtained from distinct regions of Bali. In this study, two honey samples were collected from different regions of Bali.
DOI: 10.17632/jhyvhhj8m9.1
title: Copepod isolation from water sample.

description: Copepod isolation from water sample.Protocol.
DOI: 10.17632/3dd2pb9j7t.1
title: SAR_Bathymetry_Mudiyanselage

description: The datasets and codes are attributed to SAR bathymetry inversion study titled 'Automated high-resolution bathymetry from Sentinel-1 SAR images in deeper nearshore coastal waters in Eastern Florida'.
DOI: 10.17632/pyg89wsrfz.1
title: Disintegration protocols to decompose Arbacia lixula and Marine Gastropoda.

description: Disintegration protocols to decompose Arbacia lixula and Marine Gastropoda.
DOI: 10.5281/zenodo.10277192
title: The ground-mounted photovoltaic panel in the Piedmont region.

description: This Geopackage (GPKG) database contains the ground-mounted photovoltaic panels as in the Piedmont region (north west of Italy).
The acquisition of the polygons was carried out from several basemaps (such as Bing, Google Satellite, Openstreetmap, etc) made available through the QGIS software as XYZ tiles services.
The (manual) recognition activity has been carried out over the last two years without continuity and neither the correctness of the geometries nor the complexity of the information are guaranteed in any way.
The GPKG contains: the database itself, a QGIS project, the layers and the used styles.
DOI: 10.5281/zenodo.10277193
title: The ground-mounted photovoltaic panel in the Piedmont region.

description: This Geopackage (GPKG) database contains the ground-mounted photovoltaic panels as in the Piedmont region (north west of Italy).
The acquisition of the polygons was carried out from several basemaps (such as Bing, Google Satellite, Openstreetmap, etc) made available through the QGIS software as XYZ tiles services.
The (manual) recognition activity has been carried out over the last two years without continuity and neither the correctness of the geometries nor the complexity of the information are guaranteed in any way.
The GPKG contains: the database itself, a QGIS project, the layers and the used styles.
DOI: 10.34740/kaggle/dsv/7144888
title: Egypt Gold Prices | Daily Updated
DOI: 10.5519/qd.wcwgbz9w
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5737724 records)
DOI: 10.34740/kaggle/dsv/7144933
title: Health Workforce Shortage Areas
DOI: 10.34740/kaggle/dsv/7144947
title: OnlineFree
DOI: 10.34740/kaggle/dsv/7144946
title: AutoXGB
DOI: 10.26302/sshade/experiment_cf_20200723_000
title: Vis BRDF of binary mixtures of silicon dioxide (SiO2) particles (0.5 - 10 µm) and Juniper charcoal particles (less than 50 µm)
DOI: 10.26302/sshade/experiment_cf_20200813_000
title: VIS-NIR reflectance spectra of binary mixtures of silicon dioxide (SiO2) particles (0.5 - 10 µm) and Juniper charcoal particles (less than 50 µm)
DOI: 10.5281/zenodo.7958273
title: Supplementary code and data for the paper: 'The fall of genres that did not happen: formalising history of the "universal" semantics of Russian iambic tetrameter'

description: The dataset provides preprocessed data and the full code used in the paper 'The fall of genres that did not happen: formalising history of the "universal" semantics of Russian iambic tetrameter'. The code can be also be accessed as rendered notebooks on Github.
The dataset is structured as follows:

data/ : This folder contains preprocessed data,including a sampled corpus of periodicals and a document-term matrix used for topic modelling; 
scr/ : The code used for the analysis, with separate scripts for figures; 
plots/ : The figures used in the paper, which correspond to the aforementioned code.
DOI: 10.5281/zenodo.7958274
title: Supplementary code and data for the paper: 'The fall of genres that did not happen: formalising history of the "universal" semantics of Russian iambic tetrameter'

description: The dataset provides preprocessed data and the full code used in the paper 'The fall of genres that did not happen: formalising history of the "universal" semantics of Russian iambic tetrameter'. The code can be also be accessed as rendered notebooks on Github.
The dataset is structured as follows:

data/ : This folder contains preprocessed data,including a sampled corpus of periodicals and a document-term matrix used for topic modelling; 
scr/ : The code used for the analysis, with separate scripts for figures; 
plots/ : The figures used in the paper, which correspond to the aforementioned code.
DOI: 10.34740/kaggle/ds/4121536
title: Payday 2 Speedrun Leaderboards Dataset
DOI: 10.5281/zenodo.10245533
title: VPRM simulations over India

description: VPRM model simulations over India.
VPRM simulations based on tropical and European parameters before and after refinement.
DOI: 10.5281/zenodo.10245534
title: VPRM simulations over India

description: VPRM model simulations over India.
VPRM simulations based on tropical and European parameters before and after refinement.
DOI: 10.25919/9z4p-mj92
title: The Mopra Southern Galactic Plane Carbon Monoxide (CO) Survey

description: The Mopra CO Survey is a spectral line mapping survey of the carbon monoxide line emission from the Southern Galactic Plane. It was undertaken using the 22m diameter Mopra radio telescope in Coonabarabran in Australia. We provide data sets covering Galactic longitudes from l= 250 deg to 355 deg with latitudinal coverage of at least |b| &lt; 1 deg, totaling an area of &gt; 210 deg^2. These data have been taken at 0.6 arcminute spatial resolution and 0.1 km/s spectral resolution, providing an unprecedented view of the molecular gas clouds along the Southern Galactic Plane in the 109-115 GHz J = 1–0 transitions of the CO molecule in 4 isotopologues: CO (=12CO), 13CO, C18O and C17O.

Please see attached Readme and links for more information. 

Please see this github link for several scripts to perform basic ISM cube processing tasks (sub-cube extraction, moment integration, estimating gas mass)

https://github.com/seinecke/ISMCube

Comments on the scripts can be sent to sabrina.einecke@adelaide.edu.au
DOI: 10.17632/s9tnwhv65f.1
title: TSP Challenge Sourcecode

description: Source code to the TSP Challenge Paper. ".zip"-Folder contains the source code from both implementation (GA, NN-2opt) for the submission platform OPTIL.io and for the presentation (including plotting). Presentation and Plotting test data "d15112": https://comopt.ifi.uni-heidelberg.de/software/TSPLIB95/tsp/d15112.tsp.gz
DOI: 10.17632/s9tnwhv65f.2
title: TSP Challenge Sourcecode

description: Source code to the TSP Challenge Paper. ".zip"-Folder contains the source code from both implementation (GA, NN-2opt) for the submission platform OPTIL.io and for the presentation (including plotting). 

Presentation and Plotting test data "d15112" (first 1000 nodes):
https://comopt.ifi.uni-heidelberg.de/software/TSPLIB95/tsp/d15112.tsp.gz
DOI: 10.17632/vm8j5dvrxy.1
title: MultiPatient Elderly Respiration dataset in Digital Twin Technology

description: The research focus for this study is to generate a larger respiration dataset for the creation of elderly respiration Digital Twin (DT) model. Initial experimental data is collected with an unobtrusive Wi-Fi sensor with Channel State Information (CSI) characteristics to collect the subject's respiration rate. 

The generation of a DT model requires extensive and diverse data. Due to limited resources and the need for extensive experimentation, the data is generated by implementing a novel statistical time series data augmentation method on single-subject respiration data. The larger synthetic respiration datasets will allow for testing the signal processing methodologies for noise removal,Breaths Per Minute (BPM) estimation, extensive Artificial Intelligence (AI) implementation.

The sensor data is for BPM from 12BPM to 25BPM for a single subject. Normal respiration rate ranges from 12BPM to 16BPM and beyond this is considered abnormal BPM. A total of 14 files are present in the dataset. Each file is labeled according to the BPM. All 30 patient data are present for each BPM. Patient are numbered as "P1, P2, P3, .... untill P30"

This data can be utilized by researchers and scientists toward the development of novel signal processing methodologies in the respiration DT model. These larger respiration datasets can be utilized for Machine Learning (ML) and Deep Learning (DL) in providing predictive analysis and classification of multi-patient respiration in the DT model for an elderly respiration rate.