cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17630/0e75f92d-6f8a-41be-ad45-ac6d1d890ee2
title: Enhanced Exciton Harvesting in a Planar Heterojunction Organic Photovoltaic Device by Solvent Vapor Annealing (dataset)
DOI: 10.17630/d440ef8d-6ccf-4fc4-aa37-0c601eb165a3
title: Li@C60 as a multi-state molecular switch (dataset)
DOI: 10.17630/c5f31888-9db5-4ac0-a990-3fd17dcfe865
title: STA2018 (Full) (thesis data)

description: STA2018 is a new dataset generated by transforming the network traces of the UNB ISCX Intrusion Detection Evaluation DataSet 2012 [1] into a suitable format for Machine Learning (ML) and Data Mining (DM) tasks. The generation process used traffic trace files to extract 193 basic features, which were then extended to 550 features by employing part of Onut’s feature classification schema [2] (549 independent variables plus one dependent (class) variable). 
The STA2018 dataset contains the profiled sessions (connections) of the network traffic of five simulation days, where data records are grouped by day so that every data file aggregated all of the connections within that simulation day. Overall, the transformation process had five main stages: 
1. Basic-features extraction: every PCAP file (in UNB ISCX 2012 dataset) was processed using Bro software to extract 193 features for every ICMP, TCP and UDP connection. These features consisted of information that can be extracted from frame and packet headers such as the source and destination IP addresses and ports, connection duration, transport protocol etc.
2. Validation and connection labelling: the accurate capture of every (ICMP, TCP, UDP) packet in every PCAP file was validated, then every processed connection (in the PCAP files) was matched to its corresponding flow in the XML file (in UNB ISCX 2012 dataset) using the label provided {Attack, Normal}.
3. Extend the basic-features: every connection was processed to derive two sets of features (time-based and connection-based). Deriving these features depended on the chronological order of the original connections. Part of Onut’s feature classification schema [2] was used in this phase.
4. Balance: synthetic records (connections) were generated to balance the number of Normal and Attack connections in the dataset by generating synthetic records of the attack connections. This balancing phase used the SMOTE algorithm [3]. All synthetic records are identifiable by the ‘synthetic’ variable.
5. Clean up: any useless features were removed, before source and destination zone features were added, to reduce the large address space.

The large number of features space combined with having a balanced version of the data provides the research community with a good dataset to test algorithms and analyse the effect of various parameters on the quality of generated models. 

[1] Ali Shiravi, Hadi Shiravi, Mahbod Tavallaee, and Ali A Ghorbani. Toward developing a systematic approach to generate benchmark datasets for intrusion detection. Computers & Security, 31 (3): 357–374, 2012.
[2] Iosif-Viorel Onut and Ali A Ghorbani. A feature classification scheme for network intrusion detection. IJ Network Security, 5 (1): 1–15, 2007.
[3] Nitesh V Chawla, Kevin W Bowyer, Lawrence O Hall, and W Philip Kegelmeyer. Smote: synthetic minority over-sampling technique. Journal of artificial intelligence research, 16: 321–357, 2002.

The data files are embargoed until 06/12/2020.
DOI: 10.17630/fa576f47-27ef-4610-baf5-56893d646329
title: Optoelectronic Applications of Lead Halide Perovskites (thesis data)

description: Data set for this thesis including the raw data for solar cell J-V curves, laser measurements (threshold, gain, loss, and profiles), resonant ultrasound spectroscopy, PLQY data, surface profilometry, absorption spectroscopy, and time resolved photoluminescence. Also included are SEM and microscope images of samples during the optimisation process. Some of the data files will need to be viewed on Origin, and the RUS data is best viewed on IGOR, but the rest of the data is in non-proprietary format.

The data files are embargoed until 20/08/2019
DOI: 10.6084/m9.figshare.24565153
title: QGIS Map

description: The QGIS map available for download contains all layers visualized in the thesis.
DOI: 10.17630/507fc379-b6e2-42e6-9023-d1b06217b83d
title: Electron mobility of non-fullerene acceptors using a time of flight method (dataset)
DOI: 10.17630/1254db92-71d2-45a6-ac87-247894110d66
title: Phosphorescent Cationic Iridium(III) Complexes Dynamically Bound to Cyclodextrin Vesicles: Applications in Live Cell Imaging (dataset)
DOI: 10.6084/m9.figshare.24564484
title: R-Markdown

description: R-Markdown of the Master's Thesis.Files available for download that are included in the rscript: Occurrence records, EEZ shapefile, Introduced species list (WRiMS), Artsdatabanken Red List (Norway)Script contains information about the methods used.Preparation of data layersCreation of SDMs with MaxEntProcessing of Data<br>
DOI: 10.6084/m9.figshare.24564484.v5
title: R-Markdown

description: R-Markdown of the Master's Thesis.Files available for download that are included in the rscript: Occurrence records, EEZ shapefile, Introduced species list (WRiMS), Artsdatabanken Red List (Norway)Script contains information about the methods used.Preparation of data layersCreation of SDMs with MaxEntProcessing of Data<br>
DOI: 10.6084/m9.figshare.24564484.v4
title: R-Markdown

description: R-Markdown of the Master's Thesis. Containing information about the methods used. Preparation of data layersCreation of SDMs with MaxEntProcessing of Data
DOI: 10.17630/7ce35a28-7d44-4803-a86a-ed2b79da4ecf
title: From individuals to communities: how singleton invasive pine saplings lead to biodiversity change in the Brazilian Cerrado hotspot (dataset)

description: The dataset contains a xlsx file with plant species abundances in areas invaded by pine trees (Pinus elliottii), and non-invaded areas in two habitats in the Brazilian Cerrado. Both shrub and grass vegetation layers were sampled. 
More detailed sampling information can be found in the reference paper.
DOI: 10.17630/37a2a05a-0fbe-46f7-bdc3-aef36b53b7f5
title: Monitoring the Assembly-Disassembly-Organisation-Reassembly Process of Germanosilicate UTL through in situ Pair Distribution Function Analysis (dataset)
DOI: 10.5281/zenodo.7773834
title: Invasive traits of freshwater fish database (ITOFF)

description: ITOFF unifies data on life-history traits, interactions, and taxonomies of invasive freshwater fish, those species they endanger, and species known to be impacted by invasive species but not at risk of extinction. These data provide the opportunity to improve current understanding of factors that promote invasive success or increase susceptibility to invasion in critically threatened freshwater ecosystems.
DOI: 10.5281/zenodo.10116408
title: Invasive traits of freshwater fish database (ITOFF)

description: ITOFF unifies data on life-history traits, interactions, and taxonomies of invasive freshwater fish, those species they endanger, and species known to be impacted by invasive species but not at risk of extinction. These data provide the opportunity to improve current understanding of factors that promote invasive success or increase susceptibility to invasion in critically threatened freshwater ecosystems.
DOI: 10.5281/zenodo.10126779
title: Invasive traits of freshwater fish database (ITOFF)

description: ITOFF unifies data on life-history traits, interactions, and taxonomies of invasive freshwater fish, those species they endanger, and species known to be impacted by invasive species but not at risk of extinction. These data provide the opportunity to improve current understanding of factors that promote invasive success or increase susceptibility to invasion in critically threatened freshwater ecosystems.
DOI: 10.5281/zenodo.10135093
title: Invasive traits of freshwater fish database (ITOFF)

description: ITOFF unifies data on life-history traits, interactions, and taxonomies of invasive freshwater fish, those species they endanger, and species known to be impacted by invasive species but not at risk of extinction. These data provide the opportunity to improve current understanding of factors that promote invasive success or increase susceptibility to invasion in critically threatened freshwater ecosystems.
DOI: 10.5281/zenodo.7734573
title: Invasive traits of freshwater fish database (ITOFF)

description: ITOFF unifies data on life-history traits, interactions, and taxonomies of invasive freshwater fish, those species they endanger, and species known to be impacted by invasive species but not at risk of extinction. These data provide the opportunity to improve current understanding of factors that promote invasive success or increase susceptibility to invasion in critically threatened freshwater ecosystems.
DOI: 10.5281/zenodo.7734574
title: Invasive traits of freshwater fish database (ITOFF)

description: ITOFF unifies data on life-history traits, interactions, and taxonomies of invasive freshwater fish, those species they endanger, and species known to be impacted by invasive species but not at risk of extinction. These data provide the opportunity to improve current understanding of factors that promote invasive success or increase susceptibility to invasion in critically threatened freshwater ecosystems.
DOI: 10.5519/qd.9s9vv0np
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (125 records)
DOI: 10.5517/ccdc.csd.cc2bc25z
title: CCDC 2155590: Experimental Crystal Structure Determination

description: Related Article: Lin Cheng, Ping Tian, Honghong Duan, Qingfang Li, Xiaowen Song, Anyang Li, Liping Cao|2023|Chemical Science|14|833|doi:10.1039/D2SC05854E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10135083
title: Training dataset for land type detection on Sentinel-2 images (annotations: build-up, rural, forest, water)
DOI: 10.5281/zenodo.10135084
title: Training dataset for land type detection on Sentinel-2 images (annotations: build-up, rural, forest, water)
DOI: 10.6084/m9.figshare.24565144
title: Lower-Tarim-River-FVC

description: 1) the 8356-image data used in the paper and the Python code to process the data; 2) the image segmentation model code.
DOI: 10.5281/zenodo.3762957
title: Morpho-stratigraphic map of Jezero crater landing area

description: The rover Perseverance of the Mars2020 mission will depart to Mars in July 2020 and land on Mars in February 2021. Its landing site, Jezero crater, has been selected due to the presence of two fan deltas, inlet and outlet valleys and a huge number of aqueous landforms (fluvial and lacustrine sediments).
This morpho-stratigraphic map has been produced from orbital visible imagery and its interpretations take into account the orbital facies (layers, massive, etc.) and their stratigraphic relationships, the texture and albedo of terrains, without taking into account mineralogical data. The area studied here is centered around the landing area comprising the east of the fan delta and the west of the crater floor. The map has been done at 1:10,000 scale.
description: This work was supported by the European Commission Research Executive Agency under the Horizon 2020 "PlanMap" project (grant n° 776276). Data used in this study are publicly available on the Planetary Data System (https://pds.nasa.gov), and on Caltech's Murray Lab website (http://murray-lab.caltech.edu/Mars2020/).
DOI: 10.5281/zenodo.3762958
title: Morpho-stratigraphic map of Jezero crater landing area

description: The rover Perseverance of the Mars2020 mission will depart to Mars in July 2020 and land on Mars in February 2021. Its landing site, Jezero crater, has been selected due to the presence of two fan deltas, inlet and outlet valleys and a huge number of aqueous landforms (fluvial and lacustrine sediments).
This morpho-stratigraphic map has been produced from orbital visible imagery and its interpretations take into account the orbital facies (layers, massive, etc.) and their stratigraphic relationships, the texture and albedo of terrains, without taking into account mineralogical data. The area studied here is centered around the landing area comprising the east of the fan delta and the west of the crater floor. The map has been done at 1:10,000 scale.
description: This work was supported by the European Commission Research Executive Agency under the Horizon 2020 "PlanMap" project (grant n° 776276). Data used in this study are publicly available on the Planetary Data System (https://pds.nasa.gov), and on Caltech's Murray Lab website (http://murray-lab.caltech.edu/Mars2020/).
DOI: 10.5281/zenodo.8369405
title: Data set for journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades' volume6

description: The description in the read me file is updated here. 
This data set includes all the related raw data about the journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades'1.The raw data of thick adhesive double cantilever beam tests under quasi-static loading, such as the DIC pictures and the load-displacement curve. The strain energy release curve and load-displacement prediction curve are also included. All the data excepts the DIC pictures is within one Excel file for each sample.2.Data for tensile testing (composite and epoxy adhesive).Volume 1 includes the data of UN1,UN2,GN2 and GL2-L.Volume 2 includes the data of 5-GL2-M SAMPLE1.Volume 3 includes the data of 5-GL2-M SAMPLE2 AND 3.Volume 4 includes the data of 5-GL2-M SAMPLE4 and 6-GL2-H SAMPLE 1 and 2.Volume 5 includes the data of 6-GL2-H SAMPLE3 and 4.Volume 6 includes the tensile testing data. 
description: The authors acknowledge funding under the Lead Agency scheme from the Research Foundation - Flanders (FWO Vlaanderen) through the project grant G031020N and the Swiss National Science Foundation (SNF) through the project grant 200021E_189444 with the title "Combined numerical and experimental approach for the development, testing and analysis of thick adhesive joints in large wind turbine blades".
DOI: 10.5281/zenodo.8369406
title: Data set for journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades' volume6

description: The description in the read me file is updated here. 
This data set includes all the related raw data about the journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades'1.The raw data of thick adhesive double cantilever beam tests under quasi-static loading, such as the DIC pictures and the load-displacement curve. The strain energy release curve and load-displacement prediction curve are also included. All the data excepts the DIC pictures is within one Excel file for each sample.2.Data for tensile testing (composite and epoxy adhesive).Volume 1 includes the data of UN1,UN2,GN2 and GL2-L.Volume 2 includes the data of 5-GL2-M SAMPLE1.Volume 3 includes the data of 5-GL2-M SAMPLE2 AND 3.Volume 4 includes the data of 5-GL2-M SAMPLE4 and 6-GL2-H SAMPLE 1 and 2.Volume 5 includes the data of 6-GL2-H SAMPLE3 and 4.Volume 6 includes the tensile testing data. 
description: The authors acknowledge funding under the Lead Agency scheme from the Research Foundation - Flanders (FWO Vlaanderen) through the project grant G031020N and the Swiss National Science Foundation (SNF) through the project grant 200021E_189444 with the title "Combined numerical and experimental approach for the development, testing and analysis of thick adhesive joints in large wind turbine blades".
DOI: 10.5281/zenodo.8369220
title: Data set for journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades' volume5

description: The description in the read me file is updated here. 
This data set includes all the related raw data about the journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades'1.The raw data of thick adhesive double cantilever beam tests under quasi-static loading, such as the DIC pictures and the load-displacement curve. The strain energy release curve and load-displacement prediction curve are also included. All the data excepts the DIC pictures is within one Excel file for each sample.2.Data for tensile testing (composite and epoxy adhesive).Volume 1 includes the data of UN1,UN2,GN2 and GL2-L.Volume 2 includes the data of 5-GL2-M SAMPLE1.Volume 3 includes the data of 5-GL2-M SAMPLE2 AND 3.Volume 4 includes the data of 5-GL2-M SAMPLE4 and 6-GL2-H SAMPLE 1 and 2.Volume 5 includes the data of 6-GL2-H SAMPLE3 and 4.Volume 6 includes the tensile testing data. 
description: The authors acknowledge funding under the Lead Agency scheme from the Research Foundation - Flanders (FWO Vlaanderen) through the project grant G031020N and the Swiss National Science Foundation (SNF) through the project grant 200021E_189444 with the title "Combined numerical and experimental approach for the development, testing and analysis of thick adhesive joints in large wind turbine blades".
DOI: 10.5281/zenodo.8369221
title: Data set for journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades' volume5

description: The description in the read me file is updated here. 
This data set includes all the related raw data about the journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades'1.The raw data of thick adhesive double cantilever beam tests under quasi-static loading, such as the DIC pictures and the load-displacement curve. The strain energy release curve and load-displacement prediction curve are also included. All the data excepts the DIC pictures is within one Excel file for each sample.2.Data for tensile testing (composite and epoxy adhesive).Volume 1 includes the data of UN1,UN2,GN2 and GL2-L.Volume 2 includes the data of 5-GL2-M SAMPLE1.Volume 3 includes the data of 5-GL2-M SAMPLE2 AND 3.Volume 4 includes the data of 5-GL2-M SAMPLE4 and 6-GL2-H SAMPLE 1 and 2.Volume 5 includes the data of 6-GL2-H SAMPLE3 and 4.Volume 6 includes the tensile testing data. 
description: The authors acknowledge funding under the Lead Agency scheme from the Research Foundation - Flanders (FWO Vlaanderen) through the project grant G031020N and the Swiss National Science Foundation (SNF) through the project grant 200021E_189444 with the title "Combined numerical and experimental approach for the development, testing and analysis of thick adhesive joints in large wind turbine blades".
DOI: 10.20351/29sg20230608
title: BOCATS-2-2023_LEG1 Cruise, RV Sarmiento de Gamboa

description: Oceanographic data acquired during the BOCATS-2-2023_LEG1 Cruise (29SG20230608) on board the Research
Vessel Sarmiento de Gamboa in 2023.
DOI: 10.5281/zenodo.8369128
title: Data set for journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades' volume4

description: The description in the read me file is updated here. 
This data set includes all the related raw data about the journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades'1.The raw data of thick adhesive double cantilever beam tests under quasi-static loading, such as the DIC pictures and the load-displacement curve. The strain energy release curve and load-displacement prediction curve are also included. All the data excepts the DIC pictures is within one Excel file for each sample.2.Data for tensile testing (composite and epoxy adhesive).Volume 1 includes the data of UN1,UN2,GN2 and GL2-L.Volume 2 includes the data of 5-GL2-M SAMPLE1.Volume 3 includes the data of 5-GL2-M SAMPLE2 AND 3.Volume 4 includes the data of 5-GL2-M SAMPLE4 and 6-GL2-H SAMPLE 1 and 2.Volume 5 includes the data of 6-GL2-H SAMPLE3 and 4.Volume 6 includes the tensile testing data. 
description: The authors acknowledge funding under the Lead Agency scheme from the Research Foundation - Flanders (FWO Vlaanderen) through the project grant G031020N and the Swiss National Science Foundation (SNF) through the project grant 200021E_189444 with the title "Combined numerical and experimental approach for the development, testing and analysis of thick adhesive joints in large wind turbine blades".
DOI: 10.5281/zenodo.8369129
title: Data set for journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades' volume4

description: The description in the read me file is updated here. 
This data set includes all the related raw data about the journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades'1.The raw data of thick adhesive double cantilever beam tests under quasi-static loading, such as the DIC pictures and the load-displacement curve. The strain energy release curve and load-displacement prediction curve are also included. All the data excepts the DIC pictures is within one Excel file for each sample.2.Data for tensile testing (composite and epoxy adhesive).Volume 1 includes the data of UN1,UN2,GN2 and GL2-L.Volume 2 includes the data of 5-GL2-M SAMPLE1.Volume 3 includes the data of 5-GL2-M SAMPLE2 AND 3.Volume 4 includes the data of 5-GL2-M SAMPLE4 and 6-GL2-H SAMPLE 1 and 2.Volume 5 includes the data of 6-GL2-H SAMPLE3 and 4.Volume 6 includes the tensile testing data. 
description: The authors acknowledge funding under the Lead Agency scheme from the Research Foundation - Flanders (FWO Vlaanderen) through the project grant G031020N and the Swiss National Science Foundation (SNF) through the project grant 200021E_189444 with the title "Combined numerical and experimental approach for the development, testing and analysis of thick adhesive joints in large wind turbine blades".
DOI: 10.20351/29sg20210528
title: BOCATS-2_LEG1 Cruise, RV Sarmiento de Gamboa

description: Oceanographic data acquired during the BOCATS-2_LEG1 Cruise (29SG20210528) on board the Research Vessel Sarmiento de Gamboa in 2021.
DOI: 10.5281/zenodo.8367957
title: Data set for journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades' volume3

description: The description in the read me file is updated here. 
This data set includes all the related raw data about the journal paper 'Mode I fracture of thick adhesively bonded GFRP composite joints for wind turbine rotor blades'1.The raw data of thick adhesive double cantilever beam tests under quasi-static loading, such as the DIC pictures and the load-displacement curve. The strain energy release curve and load-displacement prediction curve are also included. All the data excepts the DIC pictures is within one Excel file for each sample.2.Data for tensile testing (composite and epoxy adhesive).Volume 1 includes the data of UN1,UN2,GN2 and GL2-L.Volume 2 includes the data of 5-GL2-M SAMPLE1.Volume 3 includes the data of 5-GL2-M SAMPLE2 AND 3.Volume 4 includes the data of 5-GL2-M SAMPLE4 and 6-GL2-H SAMPLE 1 and 2.Volume 5 includes the data of 6-GL2-H SAMPLE3 and 4.Volume 6 includes the tensile testing data. 
description: The authors acknowledge funding under the Lead Agency scheme from the Research Foundation - Flanders (FWO Vlaanderen) through the project grant G031020N and the Swiss National Science Foundation (SNF) through the project grant 200021E_189444 with the title "Combined numerical and experimental approach for the development, testing and analysis of thick adhesive joints in large wind turbine blades".