cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/ehwp-jf28
title: Parkes observations for project P456 semester 2023APRS_09

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. We are now in an exciting regime where a signal detected in our (and other data sets) has the form expected for a gravitational wave background. We are therefore now attempting to confirm, or deny, this exciting result. With this proposal we aim to maintain our pre-eminent position in the field. Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.15151/esrf-es-1118655127
title: Cryo-electron microscopy EPN BAG

description: At the EPN campus level structural biology work is carried out in all the 4 institutes (IBS, ESRF, ILL and EMBL). Today all structural biology groups are turning to cryo-EM. The EM demand is therefore extremely high and present in the 4 Institutes. In a nutshell, there are more than 45 PIs that could benefit from Krios time on the EPN campus (more than 90 different samples). Around 20 % of the sample are ready for high resolution data collection with already prepared grids that have been pre-screened on Glacios microscopes. Whereas some work could be carried out on Glacios microscopes, for difficult samples the use of a krios is indispensable (heterogeneous sample or limited concentration requiring a large number of images; small protein etc). Only these samples will be selected for Krios time at the BAG level
DOI: 10.6084/m9.figshare.23725941
title: Data of Design of Humanoid Robot Head System

description: Data of Design of Humanoid Robot Head System
DOI: 10.6084/m9.figshare.23725941.v3
title: Data of Design of Humanoid Robot Head System

description: Data of Design of Humanoid Robot Head System
DOI: 10.6084/m9.figshare.23725941.v4
title: Data of Design of Humanoid Robot Head System

description: Data of Design of Humanoid Robot Head System
DOI: 10.5519/qd.14zxr73x
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (92 records)
DOI: 10.5281/zenodo.8154521
title: Resources for User Study of Mapeathor

description: This dataset contains the resources used to carry out the exercise proposed for the Mapeathor study of usability. It is comprised of: An ontology diagram representing a subset of the <em>Vocabulary for data representation of the local business census and activities licenses</em> Three clean CSV files with data associated with the subset ontology: bar.csv and restaurant.csv: Information about local businesses (bars and restaurants respectively), with the following fields: <em>id, URL, email, longitude, latitude, phone, maximum_capacity, name</em>. address.csv: Information about the postal address of local businesses, with the following fields: <em>id, restaurant_name, postal_code, country, city, address</em>.
DOI: 10.5281/zenodo.8154522
title: Resources for User Study of Mapeathor

description: This dataset contains the resources used to carry out the exercise proposed for the Mapeathor study of usability. It is comprised of: An ontology diagram representing a subset of the <em>Vocabulary for data representation of the local business census and activities licenses</em> Three clean CSV files with data associated with the subset ontology: bar.csv and restaurant.csv: Information about local businesses (bars and restaurants respectively), with the following fields: <em>id, URL, email, longitude, latitude, phone, maximum_capacity, name</em>. address.csv: Information about the postal address of local businesses, with the following fields: <em>id, restaurant_name, postal_code, country, city, address</em>.
DOI: 10.5281/zenodo.7443837
title: Comparison of Knowledge Graph Representations for Consumer Scenarios - Datasets

description: These are the datasets used for the evaluations carried out in the submission "Comparison of Knowledge Graph Representations for Consumer Scenarios" to ISWC 2023
DOI: 10.5281/zenodo.7443836
title: Comparison of Knowledge Graph Representations for Consumer Scenarios - Datasets

description: These are the datasets used for the evaluations carried out in the submission "Comparison of Knowledge Graph Representations for Consumer Scenarios" to ISWC 2023
DOI: 10.24380/mxjo-nram
title: CoCO2 global emission point source database
DOI: 10.17632/dzyvrp7kfh.1
title: Flea and host species in different regions of four biogeographic realms
DOI: 10.5967/m03n21gx
title: TDB_12_1
DOI: 10.5281/zenodo.8172571
title: Classifying protein kinase conformations with machine learning

description: This data collection accompanies the manuscript "Classifying protein kinase conformations with machine learning". It is created using the kinactive v0.1 tool written in pure Python&gt;=3.10. <strong>Note that the data are provided for the reference and reproducibility purposes and will not be compatible with later versions of `kinactive` built upon lXtractor &gt; 0.1.1.</strong> Refer to the kinactive documentation for instructions on how to obtain an actualized version of the structural kinome collection. File descriptions: db_v3.tar.gz -- a structural kinome collection archive. One can unpack it and inspect the contents or use load it into the Python interpreter using `kinactive` or `lXtractor` tools. default_*_vs.tsv -- structure/sequence variables calculated with lXtractor and used in an interpretable ML pipeline. *_features.tsv -- lists of ranked features selected by the eBoruta tool for each classifier. Supplement_labels.tsv -- ML model predictions for each PK domain structure found in db_v3.
DOI: 10.5281/zenodo.8175370
title: Classifying protein kinase conformations with machine learning: data

description: This data collection accompanies the manuscript "Classifying protein kinase conformations with machine learning". It is created using the kinactive v0.1 tool written in pure Python v3.10. <strong>Note that the data are provided for the reference and reproducibility purposes and will not be compatible with later versions of `kinactive` built upon lXtractor &gt; 0.1.1.</strong> Refer to the kinactive documentation for instructions on how to obtain an actualized version of the structural kinome collection. File descriptions: db_v3.tar.gz -- a structural kinome collection archive. One can unpack it and inspect the contents or load it into the Python interpreter using `kinactive` or `lXtractor` tools. db_af2.tar.gz -- an AlphaFold2 kinome collection for Swiss-Prot sequences. default_*_vs.tsv -- structure/sequence variables calculated with lXtractor and used in an interpretable ML pipeline. *_features.tsv -- lists of ranked features selected by the eBoruta tool for each classifier. Supplement_labels.tsv -- ML model predictions for each PK domain structure found in db_v3. predictions_af2.csv -- Active/Inactive and DFG labels predicted for domains in db_af2.
DOI: 10.5281/zenodo.8172570
title: Classifying protein kinase conformations with machine learning: data

description: This data collection accompanies the manuscript "Classifying protein kinase conformations with machine learning". It is created using the kinactive v0.1 tool written in pure Python v3.10. <strong>Note that the data are provided for the reference and reproducibility purposes and will not be compatible with later versions of `kinactive` built upon lXtractor &gt; 0.1.1.</strong> Refer to the kinactive documentation for instructions on how to obtain an actualized version of the structural kinome collection. File descriptions: db_v3.tar.gz -- a structural kinome collection archive. One can unpack it and inspect the contents or load it into the Python interpreter using `kinactive` or `lXtractor` tools. db_af2.tar.gz -- an AlphaFold2 kinome collection for Swiss-Prot sequences. default_*_vs.tsv -- structure/sequence variables calculated with lXtractor and used in an interpretable ML pipeline. *_features.tsv -- lists of ranked features selected by the eBoruta tool for each classifier. Supplement_labels.tsv -- ML model predictions for each PK domain structure found in db_v3. predictions_af2.csv -- Active/Inactive and DFG labels predicted for domains in db_af2.
DOI: 10.5281/zenodo.8175416
title: Available datasets of Aquilegia oxysepala

description: Available datasets of Aquilegia oxysepala
DOI: 10.5281/zenodo.8175415
title: Available datasets of Aquilegia oxysepala

description: Available datasets of Aquilegia oxysepala
DOI: 10.21227/3q8d-jw96
title: Raw Water Quality Dataset Thailand

description: Sustainable water quality data is important for understanding historical variability and trends in river regimes, as well as the impact of industrial waste on the health of aquatic ecosystems. Sustainable water management practices heavily depend on reliable and comprehensive data, prompting the need for accurate monitoring and assessment of water quality parameters. We describe a reconstructed daily water quality dataset that complements rare historical observations for six station points along the Chao Phraya River in Thailand. We used Internet of Things technology to reconstruct the water quality dataset for the period June 2022 – February 2023, with Turbidity, Optical Dissolved Oxygen, Dissolved Oxygen Saturation, Spatial Conductivity, Acidity/Basicity, Total Dissolved Solids, Salinity, Temperature, Chlorophyll, and Depth as the recorded parameters from six different stations. The presented dataset comprises a total of 211,322 data points, which are separated into six CSV files. The dataset is then evaluated using the Long Short-Term Memory (LSTM) algorithm. The proposed dataset provides valuable insights for researchers studying river ecosystems, supporting informed decision-making and sustainable water management practices
DOI: 10.7910/dvn/flpouc
title: Policy analysis on municipal solid waste management in Dhaka South City Corporation, Bangladesh: A qualitative study

description: The KIIs were conducted using a semistructured interview guideline supplemented by qualitative probing. Eight SWM officials from the Dhaka South City Corporation (DSCC), the Department of Environment (DoE), and the Japan International Cooperation Agency (JICA), with at least one year of working experience, were included in the study.
DOI: 10.6084/m9.figshare.21358539.v2
title: data.xlsx

description: Differences in methanogenic pathways and communities in paddy soils under three typical cropping modes<br>
DOI: 10.6084/m9.figshare.23733327
title: <strong>A database of Global Yachts and Sailboat</strong>

description: database of yachts and saiboats.
DOI: 10.34740/kaggle/dsv/6181043
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.8125001
title: Table 9 for the Study: "Observation of correlation between earthquake triggering of M&gt;4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy." Calandra Stefano

description: <strong>Distribution and probability of σFR indices of the 2nd hypotesis for all 200 earthquakes.</strong> Distribution and probability of σFR indices of the 2nd hypotesis, and the time affected in 1 month by the same σFR index present at the time of seismic triggering, for all 3 lines of experimental analysis, for all 200 earthquakes analyzed in the paper <em>"Observation of correlation between earthquake triggering of M&gt;4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy", paragraph </em><strong>3.02.03.</strong> Table 9 shows that the values and σFR indices calculated for the 200 earthquakes are concentrated in very small values. With this result, it is shown that by using these highly concentrated σFR values and indices, <em>75% of the time of the reference month of 65% earthquakes &gt;M4.3 can be excluded as seismic hazard. </em>
DOI: 10.5281/zenodo.8125000
title: Table 9 for the Study: "Observation of correlation between earthquake triggering of M&gt;4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy." Calandra Stefano

description: <strong>Distribution and probability of σFR indices of the 2nd hypotesis for all 200 earthquakes.</strong> Distribution and probability of σFR indices of the 2nd hypotesis, and the time affected in 1 month by the same σFR index present at the time of seismic triggering, for all 3 lines of experimental analysis, for all 200 earthquakes analyzed in the paper <em>"Observation of correlation between earthquake triggering of M&gt;4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy", paragraph </em><strong>3.02.03.</strong> Table 9 shows that the values and σFR indices calculated for the 200 earthquakes are concentrated in very small values. With this result, it is shown that by using these highly concentrated σFR values and indices, <em>75% of the time of the reference month of 65% earthquakes &gt;M4.3 can be excluded as seismic hazard. </em>
DOI: 10.6084/m9.figshare.23733351
title: Scopus Records (Raw Data)

description: This is the raw data downloaded from the Scopus online database (April 1, 2023) to accomplish the bibliometric analysis study in the area of "Public-Private Partnership (PPP)".
DOI: 10.21227/55x5-kv53
title: data for "UAV Path Planning Based on Proximal Policy Optimization Algorithm with Long Short-Term Memory Networks and Generalized Integral Compensator"

description: This study proposes a more competitive and sample-efficient algorithm: Memory-GIC-PPO, specifically to address POMDPs in UAV path planning. The effectiveness of the proposed algorithm is thoroughly evaluated through simulations conducted on the Airsim platform. The results convincingly demonstrate that Memory-GIC-PPO enables the UAV to achieve optimal path planning in complex environments and outperforms the benchmark algorithms in terms of sampling efficiency and success rates. This dataset contains the rewards obtained by the Memory-GIC-PPO, LSTM-TD3, and PPO algorithms in the designed scenarios, as well as their respective success rates. In addition, the rewards and success rates associated with the results of the ablation experiments were also demonstrated in the dataset.
DOI: 10.34740/kaggle/dsv/6181186
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.6084/m9.figshare.23733384
title: RAW DATE

description: The raw data is mainly a text (txt) file containing 179 pieces of literature information (author, paper title, journal, year, keywords, abstract) downloaded from the web of science website, a total of two text files .
DOI: 10.5281/zenodo.8175695
title: LMS Student Dataset

description: This is a student dataset used for recommendation of courses in an LMS.
DOI: 10.5281/zenodo.8175694
title: LMS Student Dataset

description: This is a student dataset used for recommendation of courses in an LMS.
DOI: 10.34740/kaggle/dsv/6181434
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.34740/kaggle/dsv/6181439
title: 2021 World Population (updated daily)
DOI: 10.3886/e192071
title: ECIN Replication Package for "A Tale of Two Cities: Communication, Innovation, and Divergence"

description: We present a two-area endogenous growth model where abstract knowledge flows at no cost across space but tacit knowledge arises from the interaction among researchers and is hampered by distance. Digital communication reduces this “cost of distance” and reinforces productive specialization, leading to an increase in the system-wide growth rate but at the cost of more inequality within and across areas. These results are consistent with evidences on the rise in the concentration of innovative activities, income inequality, and skills and income divergence across US urban areas.
DOI: 10.3886/e192071v1
title: ECIN Replication Package for "A Tale of Two Cities: Communication, Innovation, and Divergence"

description: We present a two-area endogenous growth model where abstract knowledge flows at no cost across space but tacit knowledge arises from the interaction among researchers and is hampered by distance. Digital communication reduces this “cost of distance” and reinforces productive specialization, leading to an increase in the system-wide growth rate but at the cost of more inequality within and across areas. These results are consistent with evidences on the rise in the concentration of innovative activities, income inequality, and skills and income divergence across US urban areas.
DOI: 10.3886/e192071v2
title: ECIN Replication Package for "A Tale of Two Cities: Communication, Innovation, and Divergence"

description: We present a two-area endogenous growth model where abstract knowledge flows at no cost across space but tacit knowledge arises from the interaction among researchers and is hampered by distance. Digital communication reduces this “cost of distance” and reinforces productive specialization, leading to an increase in the system-wide growth rate but at the cost of more inequality within and across areas. These results are consistent with evidences on the rise in the concentration of innovative activities, income inequality, and skills and income divergence across US urban areas.
DOI: 10.6084/m9.figshare.23733450
title: nanodrop

description: concentration
DOI: 10.6084/m9.figshare.23733459
title: A novel time-dependent electric vehicle pickup and delivery problem with time windows in cold supply chains

description: This is the dataset of the manuscript named "A novel time-dependent electric vehicle pickup and delivery problem with time windows in cold supply chains".
DOI: 10.6084/m9.figshare.23733459.v1
title: A novel time-dependent electric vehicle pickup and delivery problem with time windows in cold supply chains

description: This is the dataset of the manuscript named "A novel time-dependent electric vehicle pickup and delivery problem with time windows in cold supply chains".
DOI: 10.5281/zenodo.8175725
title: "Canvas BM" Digital Business Model Template Repository

description: The Digital Business Model Template Repository consists of 265 unique one-page, diverse business model compositions, constructed as variants or adaptations based on the reference Business Model Canvas (BMC) created by A. Osterwalder. Business Model Canvases are templates composed of key blocks (elements) of the business model, which are interconnected and ready to be filled with content. The process of acquiring templates through quantitative, and then qualitative research, was conducted from November 2020 to October 2022. Each identified template was verified for compliance with licensing rights. The thematic repository should be treated as a business guide, aiding in the selection of suitable tools for designing business models for specific organizations, as well as in the process of creating, analyzing, and modifying business model templates. The Digital Business Model Template Repository can be useful in both a scientific, research, didactic, and individual context, and can also be beneficial in business practice.
description: {"references": ["265 entries in the file: 3_Thematic_repositories_Canvas_BM_References.xlsx"]}
DOI: 10.5281/zenodo.8175724
title: "Canvas BM" Digital Business Model Template Repository

description: The Digital Business Model Template Repository consists of 265 unique one-page, diverse business model compositions, constructed as variants or adaptations based on the reference Business Model Canvas (BMC) created by A. Osterwalder. Business Model Canvases are templates composed of key blocks (elements) of the business model, which are interconnected and ready to be filled with content. The process of acquiring templates through quantitative, and then qualitative research, was conducted from November 2020 to October 2022. Each identified template was verified for compliance with licensing rights. The thematic repository should be treated as a business guide, aiding in the selection of suitable tools for designing business models for specific organizations, as well as in the process of creating, analyzing, and modifying business model templates. The Digital Business Model Template Repository can be useful in both a scientific, research, didactic, and individual context, and can also be beneficial in business practice.
description: {"references": ["265 entries in the file: 3_Thematic_repositories_Canvas_BM_References.xlsx"]}
DOI: 10.5281/zenodo.8175736
title: Supplementary Material for "Automated detection of an insect-infested keystone vegetation phenotype using airborne LiDAR"

description: Ecologists, foresters and conservation practitioners need "biodiversity scanners" to effectively inventory biodiversity, audit conservation progress and track changes in ecosystem function. Quantifying biological diversity using airborne LiDAR remains challenging, especially for small invertebrates. However, insect aggregations can drastically alter landscapes and vegetation, and these "extended phenotypes" could serve as environmental landmarks of insect presence in LiDAR data. To test the feasibility of this approach, we studied the symbiotic ants that alter canopy shapes of whistling thorn acacia, a keystone tree species of the black cotton soils of east African savannas. We demonstrate a protocol of LiDAR data collection, training data preparation (including a customizable tree-segmentation algorithm) and convolutional neural network-based classification for the detection of ant-infested, within-species acacia tree phenotypic variations. Surveying ant occupancy of 402 hectares of 9,680 acacia trees took 1,000 work hours, while surveyed patterns of ant distribution was replicated by trained classifier based on an hour-long airborne LiDAR collection. We suggest that large scale surveys of insect occupancy (or insect-vectored disease) can be automated through a combination of airborne LiDAR and machine learning.
DOI: 10.5281/zenodo.8175735
title: Supplementary Material for "Automated detection of an insect-infested keystone vegetation phenotype using airborne LiDAR"

description: Ecologists, foresters and conservation practitioners need "biodiversity scanners" to effectively inventory biodiversity, audit conservation progress and track changes in ecosystem function. Quantifying biological diversity using airborne LiDAR remains challenging, especially for small invertebrates. However, insect aggregations can drastically alter landscapes and vegetation, and these "extended phenotypes" could serve as environmental landmarks of insect presence in LiDAR data. To test the feasibility of this approach, we studied the symbiotic ants that alter canopy shapes of whistling thorn acacia, a keystone tree species of the black cotton soils of east African savannas. We demonstrate a protocol of LiDAR data collection, training data preparation (including a customizable tree-segmentation algorithm) and convolutional neural network-based classification for the detection of ant-infested, within-species acacia tree phenotypic variations. Surveying ant occupancy of 402 hectares of 9,680 acacia trees took 1,000 work hours, while surveyed patterns of ant distribution was replicated by trained classifier based on an hour-long airborne LiDAR collection. We suggest that large scale surveys of insect occupancy (or insect-vectored disease) can be automated through a combination of airborne LiDAR and machine learning.
DOI: 10.6084/m9.figshare.23733453
title: Observations for real experiment

description: The GNSS observations used in real experiments.
DOI: 10.6084/m9.figshare.23733453.v1
title: Observations for real experiment

description: The GNSS observations used in real experiments.
DOI: 10.6084/m9.figshare.23733456
title: Simulated observations for OSSEs

description: The observation data for OSSEs.
DOI: 10.6084/m9.figshare.23733456.v1
title: Simulated observations for OSSEs

description: The observation data for OSSEs.