cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2023.78
title: Algorithm development for the vehicle routing problem with loaded distance and route time window

description: The growth in logistics has resulted in the need for more transportation to manage vehicle routes, which has resulted in the expansion of vehicle route problem (VRP) management along with numerous constraints to meet comprehensive customer needs. The vehicle routing problem with time window is taken into account as different customer requirements create time constraints that are complex and difficult to calculate the optimal route for transport. To find the best solutions to implement these problems, this research presents the development of algorithms for vehicle routing with a time window to assist in the design of freight transport routes. The main objective of this paper is to reduce transportation costs and determine the most comprehensive overall route with the shortest total distance within a time window. This research study is divided into two main parts: Mathematical Modelling using OpenSolver in Microsoft Excel and Programming Language using Genetic algorithms to code in Python along with Asymmetric data. In terms of using Mathematical Modelling, it gives an exact solution. However, due to the large size and complexity of the problem, mathematical methods may not respond to the problem and may take a long time to process. Therefore, using the Programming Language to find the solution is more acceptable because it provides an approximation optimisation solution and takes a shorter processing time by giving the solution close to the best solution, making this method more popular nowadays.Nonetheless, this research study uses Genetic algorithms to be developed in conjunction with the use of Programming Language to find the most suitable solution for the route in transporting products. The solution shows that the development of algorithms for the vehicle routing problem with a time window can find the best solution in terms of reaching the destination within the specified time frame by successfully delivering the product to the customer in the least total distance with a reduction in the number of vehicles, which also results in cost reductions. Therefore, this method is an alternative way to develop a good-performance model and can be used to solve various vehicle routing problems.
DOI: 10.5281/zenodo.10875278
title: Data support _HSB and Control
DOI: 10.5281/zenodo.10875279
title: Data support _HSB and Control
DOI: 10.6084/m9.figshare.25479535
title: NCBI <i>Burkholderia Pseudomallei</i> complete genomes as of June 2023

description: NCBI <i>Burkholderia Pseudomallei</i> complete genomes as of June 2023 used for generation of the phylogenetic tree published in Figshare https://figshare.com/search?q=10.6084/m9.figshare.24961800
DOI: 10.17632/6k97jty9xg.4
title: ArzEn-MultiGenre: An aligned parallel dataset of Egyptian Arabic song lyrics, novels, and subtitles, with English translations

description: ArzEn-MultiGenre is a manually translated and aligned parallel dataset of Egyptian Arabic (Arz) and English (En), encompassing 25,557 sentence pairs across three genres: novels (5,226 sentence pairs), subtitles (17,265 sentence pairs), and songs (3,066 sentence pairs). It serves as a benchmark for machine translation models, aids in fine-tuning large language models, and facilitates research in translation studies, cross-linguistic analysis, and lexical semantics.

Three distinct features set ArzEn-MultiGenre apart from existing Arz-En parallel datasets:
1. It includes three genres previously unrepresented in Arz-En parallel datasets.
2. It is manually translated and aligned, differentiating it from crowdsourced Arz-En parallel datasets.
3. It offers a substantial volume of data compared to some existing Arz-En parallel datasets.

In terms of word tokens, the dataset comprises 154,658 Arabic word tokens and 210,068 English word tokens. The vocabulary encompasses 29,179 Arabic word types and 18,131 English word types, with a type-token ratio of 19% for Arabic and 9% for English. Segment lengths vary across genres, with novels featuring 54 one-word segments, 1,269 segments with 2-5 words, and 3,903 segments with 6 or more words. Similarly, subtitles display varied segment lengths, with 2,689 one-word segments, 9,252 segments with 2-5 words, and 5,324 segments with 6 or more words. Songs, however, exhibit fewer segments overall.
DOI: 10.3334/cdiac/spruce.029
title: SPRUCE Deep Peat Heating (DPH) Peat Water Content and Temperature Profiles for Experimental Plot Cores, June 2014 through June 2015

description: This data set provides the peat water content and peat temperature at time of sampling for peat cores collected before and during the SPRUCE Deep Peat Heating (DPH) study. Cores were collected during three sampling events: 03 June 2014, 09 September 2014, and 16 June 2015.  Two cores were extracted from hollow locations in each of the 10 experimental plots (4, 6, 8, 10, 11, 13, 16, 17, 19, and 20). Cores were partitioned into samples at 11 depth increments: 0-10, 10-20, 20-30, 30-40, 40-50, 50-75, 75-100, 100-125, 125-150, 150-175, and 175-200 cm below surface of the hollow.
DOI: 10.5281/zenodo.10875267
title: Eye tracking data set of academics making an omelette: An egg-breaking work

description: Just as there are numerous ways to cook an egg, there are numerous ways to recreate a YouTube video of cooking an omelette. We created a dataset of 10 academics replicating a viral video of making an omelette. We evaluated the saccade behavior during the varying subtasks and found differences related to the actions (whisking, sprinkling, etc.) and the objects (eggs, butter, plate, etc.). This dataset can further offer insight into eye movements in complex tasks and is potentially even applicable for task planning and
DOI: 10.5281/zenodo.10875268
title: Eye tracking data set of academics making an omelette: An egg-breaking work

description: Just as there are numerous ways to cook an egg, there are numerous ways to recreate a YouTube video of cooking an omelette. We created a dataset of 10 academics replicating a viral video of making an omelette. We evaluated the saccade behavior during the varying subtasks and found differences related to the actions (whisking, sprinkling, etc.) and the objects (eggs, butter, plate, etc.). This dataset can further offer insight into eye movements in complex tasks and is potentially even applicable for task planning and
DOI: 10.5281/zenodo.10874858
title: MoMA Collection - Automatic Update

description: Temporary Description
DOI: 10.5281/zenodo.10874859
title: MoMA Collection - Automatic Update

description: Temporary Description
DOI: 10.5255/ukda-sn-856978
title: Technical Evaluation of SMETER Technologies Project, Phase 2 Data: Heat Transfer Coefficients, In-Use Temperature and Energy Data, Local Weather, Dwelling Information, and Occupancy Surveys From 30 English Dwellings, 2019-2021.

description: This dataset was created for the purposes of SMETER Evaluation as part of the Technical Evaluation of SMETER Technologies (TEST) Project led by Prof. David Allinson at Loughborough University. This Phase 2 dataset includes data from 30 dwellings in England. It contains: heat transfer coefficients (HTC), airtightness, floor plans, window sizes and orientations, in-use gas and electricity consumption, indoor air temperature, and indoor relative humidity, local weather data, a dwelling survey, and an occupant survey. Refer to the README for data file structure. It was originally used to assess SMETER Technologies to in the UK Government SMETER Innovation Competition. The work was funded by the Department of Business, Energy and Industrial Strategy. Refer to the Technical Evaluation of SMETER Technologies (TEST) Project report for further information: (https://hdl.handle.net/2134/19169027). This dataset is made publicly available to support research and technology development in the area of in-use HTC calculation. It is also useful for researchers who require data from real homes for energy demand analysis, overheating prediction, and a variety of other topics relevant to the UK domestic building sector. Please download and make use of this dataset in your own research and cite publications with emanate from the dataset. We are happy to answer any questions about the dataset and its use.
DOI: 10.5281/zenodo.8214982
title: A 10 m and detailed vegetation classification map of the Tibetan Plateau

description: A 10 m resolution Tibetan Plateau land cover map with 12 vegetation classes and 3 non-vegetation classes for the year 2022 (TP_LC10-2022) by leveraging state-of-the-art remote sensing approaches including the Sentinel-1 and Sentinel-2 imagery, environmental and topographic datasets, and 4 machine learning algorithms using Google Earth Engine platform.
DOI: 10.5281/zenodo.8216434
title: A 10 m and detailed vegetation classification map of the Tibetan Plateau

description: A 10 m resolution Tibetan Plateau land cover map with 12 vegetation classes and 3 non-vegetation classes for the year 2022 (TP_LC10-2022) by leveraging state-of-the-art remote sensing approaches including the Sentinel-1 and Sentinel-2 imagery, environmental and topographic datasets, and 4 machine learning algorithms using Google Earth Engine platform.
DOI: 10.5281/zenodo.10875021
title: A 10 m resolution land cover map of the Tibetan Plateau with detailed vegetation types

description: A 10 m resolution land cover map of the Tibetan Plateau with 12 vegetation types and 3 non-vegetation types for the year 2022 (TP_LC10-2022) by leveraging state-of-the-art remote sensing approaches including the Sentinel-1 and Sentinel-2 imagery, environmental and topographic datasets, and Random Forest model using Google Earth Engine platform.
DOI: 10.5281/zenodo.8214981
title: A 10 m resolution land cover map of the Tibetan Plateau with detailed vegetation types

description: A 10 m resolution land cover map of the Tibetan Plateau with 12 vegetation types and 3 non-vegetation types for the year 2022 (TP_LC10-2022) by leveraging state-of-the-art remote sensing approaches including the Sentinel-1 and Sentinel-2 imagery, environmental and topographic datasets, and Random Forest model using Google Earth Engine platform.
DOI: 10.5281/zenodo.8228112
title: A 10 m resolution land cover map of the Tibetan Plateau with detailed vegetation types

description: A 10 m resolution land cover map of the Tibetan Plateau with 12 vegetation types and 3 non-vegetation types for the year 2022 (TP_LC10-2022) by leveraging state-of-the-art remote sensing approaches including the Sentinel-1 and Sentinel-2 imagery, environmental and topographic datasets, and Random Forest model using Google Earth Engine platform.
DOI: 10.5281/zenodo.10874713
title: GhOST Artifact Evaluation
DOI: 10.5281/zenodo.10874714
title: GhOST Artifact Evaluation
DOI: 10.25442/hku.24057144
title: Supporting data for "Radix Rehmanniae and Active Ingredients Ameliorate CFA-Induced Inflammation by Attenuating Macrophage-Mediated Localized Response and Nitrative Damage"

description: This research highlights that macrophage-induced inflammation leads to localized nitration and assembly, contributing to tissue damage and inflammatory cell infiltration in OA pathogenesis. Targeting macrophage-mediated inflammation offers a promising OA therapeutic strategy. RR and its active ingredients show potential as therapeutic agents to alleviate macrophage-mediated localized inflammatory microenvironments and nitrative damage in OA treatment.Further investigations are warranted to comprehend the precise mechanisms and clinical applicability of RR and its active compounds in managing inflammatory pain and OA.
DOI: 10.25442/hku.24057144.v1
title: Supporting data for "Radix Rehmanniae and Active Ingredients Ameliorate CFA-Induced Inflammation by Attenuating Macrophage-Mediated Localized Response and Nitrative Damage"

description: This research highlights that macrophage-induced inflammation leads to localized nitration and assembly, contributing to tissue damage and inflammatory cell infiltration in OA pathogenesis. Targeting macrophage-mediated inflammation offers a promising OA therapeutic strategy. RR and its active ingredients show potential as therapeutic agents to alleviate macrophage-mediated localized inflammatory microenvironments and nitrative damage in OA treatment.Further investigations are warranted to comprehend the precise mechanisms and clinical applicability of RR and its active compounds in managing inflammatory pain and OA.
DOI: 10.5281/zenodo.8363756
title: A computationally efficient method for parameter sensitivity analysis of microbially-explicit biogeochemical models accounting for long-term behavior

description: The dataset is for the manuscript entitled "A computationally efficient method for parameter sensitivity analysis of microbially-explicit biogeochemical models accounting for long-term behavior".
DOI: 10.25442/hku.24064488
title: Supporting data for "Covalent inhibitor for targeting RhoA in CRC treatment"

description: Abstract of thesis entitled<b>Covalent inhibitor targeting RhoA GTPase in CRC treatment</b>Submitted byJason Ying Ki LIfor the degree of Master of Philosophyat The University of Hong Kong in August 2023<br>RhoA GTPase is associated with tumor progression in many cancers. Elevated RhoA activity was reported in colorectal cancer (CRC). RhoA in cancer mainly regulates cell motility and mechanotransduction through the Rho/ROCK pathway that eventually leads to cancer migration, invasion, proliferation and survival. RhoA also regulates other cancer related pathways such as remodulating tumor microenvironment (TME) by governing actin contractility in microvesicle formation. All these suggested RhoA harboring immense therapeutic benefits and hence is a good target for cancertreatment. However, progress of drug discovery on RhoA was slow due to the fact that the protein lacks a deep binding pocket for small molecule compounds, as well as its nanomolar range affinity towards its nucleotide substrate that makes the development of substrate analogs as competitors difficult. Hence RhoA was regarded as undruggable by conventional drug screen strategies.In this project, we demonstrated the use of a chemoproteomics platform to discover a potent and specific RhoA inhibitor 1F2 in treatment of CRC.f8dsaf8dsa<br>
DOI: 10.25442/hku.24064488.v1
title: Supporting data for "Covalent inhibitor for targeting RhoA in CRC treatment"

description: Abstract of thesis entitled<b>Covalent inhibitor targeting RhoA GTPase in CRC treatment</b>Submitted byJason Ying Ki LIfor the degree of Master of Philosophyat The University of Hong Kong in August 2023<br>RhoA GTPase is associated with tumor progression in many cancers. Elevated RhoA activity was reported in colorectal cancer (CRC). RhoA in cancer mainly regulates cell motility and mechanotransduction through the Rho/ROCK pathway that eventually leads to cancer migration, invasion, proliferation and survival. RhoA also regulates other cancer related pathways such as remodulating tumor microenvironment (TME) by governing actin contractility in microvesicle formation. All these suggested RhoA harboring immense therapeutic benefits and hence is a good target for cancertreatment. However, progress of drug discovery on RhoA was slow due to the fact that the protein lacks a deep binding pocket for small molecule compounds, as well as its nanomolar range affinity towards its nucleotide substrate that makes the development of substrate analogs as competitors difficult. Hence RhoA was regarded as undruggable by conventional drug screen strategies.In this project, we demonstrated the use of a chemoproteomics platform to discover a potent and specific RhoA inhibitor 1F2 in treatment of CRC.f8dsaf8dsa<br>
DOI: 10.5281/zenodo.8363755
title: A computationally efficient method for parameter sensitivity analysis of microbially-explicit biogeochemical models accounting for long-term behavior

description: The dataset is for the manuscript entitled "A computationally efficient method for parameter sensitivity analysis of microbially-explicit biogeochemical models accounting for long-term behavior".
DOI: 10.34943/c6f7ca77-3c45-4e01-a18a-1ab27fba2895
title: Discovery Passage Junction Box Deployed 2024-03-19

description: The ONC Mini Junction Box 029 was deployed on 2024-03-19 at Discovery Passage. Discovery Passage is a channel that is part of Inside Passage. It is located between Vancouver Island and the Discovery Islands and north of the Georgia Strait. This device is a Junction Box. Junction Boxes supply power and communications to deployed instruments. Junction boxes have a number of serial and ethernet ports, including 400V ethernet ports that enable connections to other junction boxes and high-voltage instruments. Junction boxes can convert high voltages to lower voltages (15V, 24V or 48V) required by many instruments. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/50809b86-3289-4098-bcc0-edbee443b569
title: Discovery Passage Conductivity Temperature Depth Deployed 2024-03-19

description: The AML CTD Metrec X 50153 was deployed on 2024-03-19 at Discovery Passage. Discovery Passage is a channel that is part of Inside Passage. It is located between Vancouver Island and the Discovery Islands and north of the Georgia Strait. This device is a Conductivity Temperature Depth. Conductivity Temperature Depth (CTD) is an instrument package that contains sensors for measuring the conductivity, temperature, and pressure of seawater. Salinity, sound velocity, depth and density are variables that can be derived from sensor measurements. CTDs can carry additional instruments and sensors such as oxygen sensors, turbidity sensors and fluorometers. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/2a5b8616-a7f0-4569-aa0d-a604fb1e1552
title: Discovery Passage Oxygen Sensor Deployed 2024-03-19

description: The Aanderaa Optode 4531A (S/N 1215) was deployed on 2024-03-19 at Discovery Passage. Discovery Passage is a channel that is part of Inside Passage. It is located between Vancouver Island and the Discovery Islands and north of the Georgia Strait. This device is a Oxygen Sensor. Oxygen sensors measure dissolved oxygen concentration in seawater. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/b89cb5e8-fe30-4c0c-8df8-845d820f4cb2
title: Discovery Passage Fluorometer Deployed 2024-03-19

description: The WET Labs ECO FLRT 5957 was deployed on 2024-03-19 at Discovery Passage. Discovery Passage is a channel that is part of Inside Passage. It is located between Vancouver Island and the Discovery Islands and north of the Georgia Strait. This device is a Fluorometer. Fluorometers measure the amount of stimulated electromagnetic radiation (fluorescence) produced by pulses of electromagnetic radiation emitted into the water column. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/7f7ef6d3-5cb2-4e04-978b-8af6caba6063
title: Discovery Passage Video Camera Deployed 2024-03-19

description: The Axis P1375 Camera SN B8A44F271FBC was deployed on 2024-03-19 at Discovery Passage. Discovery Passage is a channel that is part of Inside Passage. It is located between Vancouver Island and the Discovery Islands and north of the Georgia Strait. This device is a Video Camera. Video cameras record video of characteristics of the surrounding environments and can be deployed on fixed and mobile platforms. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/b660c43f-1924-46df-8275-6204c879bc24
title: Discovery Passage Camera Lights Deployed 2024-03-19

description: The Ocean Networks Canada Light SN12 was deployed on 2024-03-19 at Discovery Passage. Discovery Passage is a channel that is part of Inside Passage. It is located between Vancouver Island and the Discovery Islands and north of the Georgia Strait. This device is a Camera Lights. Camera lights are used to improve visibility where cameras are deployed. Light controls and schedules can be remotely-controlled from on-shore using software. The length of time that lights are on is limited in order to minimize impact on the environment. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/5d9de49c-7376-4af8-935b-8ed768c038c0
title: Discovery Passage Camera Lights Deployed 2024-03-19

description: The Ocean Networks Canada Light SN13 was deployed on 2024-03-19 at Discovery Passage. Discovery Passage is a channel that is part of Inside Passage. It is located between Vancouver Island and the Discovery Islands and north of the Georgia Strait. This device is a Camera Lights. Camera lights are used to improve visibility where cameras are deployed. Light controls and schedules can be remotely-controlled from on-shore using software. The length of time that lights are on is limited in order to minimize impact on the environment. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.25479541
title: <b>Large-scale searching for causal relationships of body mass index </b><b>bridged</b><b>modifiable lifestyle factors on colorectal cancer risk: a phenome-wide Mendelian </b><b>R</b><b>andomization study</b>

description: Full phenotypic Mendelian randomization results on BMI
DOI: 10.6084/m9.figshare.25479541.v1
title: <b>Large-scale searching for causal relationships of body mass index </b><b>bridged</b><b>modifiable lifestyle factors on colorectal cancer risk: a phenome-wide Mendelian </b><b>R</b><b>andomization study</b>

description: Full phenotypic Mendelian randomization results on BMI