cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23721/100/1503938
title: botnets

description: This is a collection of botnet source codes, unorganized. Many projects are duplicates or revisions of each other. Many of them have outdated depedencies. The goal is to collectively put them together so that they are compilable and help people interested in malware research analyze them and learn from these samples.
DOI: 10.23721/100/1503939
title: androguard

description: Androguard is a full python tool to play with Android files.


	DEX, ODEX
	APK
	Android s binary xml
	Android resources
	Disassemble DEX/ODEX bytecodes
	Decompiler for DEX/ODEX files
DOI: 10.23721/100/1503940
title: simplify

description: There are three parts to the project: smalivm, simplify, and the demo app.

smalivm: Provides a virtual machine sandbox for executing Dalvik methods. After executing a method, it returns a graph containing all possible register and class values for every execution path. It works even if some values are unknown, such as file and network I/O. For example, any if or switch conditional with an unknown value results in both branches being taken.

simplify: Analyzes the execution graphs from smalivm and applies optimizations such as constant propagation, dead code removal, unreflection, and some peephole optimizations. These are fairly simple, but when applied together repeatedly, they'll decrypt strings, remove reflection, and greatly simplify code. It does not rename methods and classes.

demoapp: Contains simple, heavily commented examples for using smalivm in your own project. If you're building something that needs to execute Dalvik code, check it out.
DOI: 10.23721/100/1503942
title: cuckoo

description: Cuckoo Sandbox is the leading open sourceautomated malware analysis system. You can throw any suspicious file atit and in a matter of seconds Cuckoo will provide you back some detailedresults outlining what such file did when executed inside an isolatedenvironment. 

Cuckoo Sandbox is free software that automated the task of analyzing any malicious file under Windows, OS X, Linux, and Android.

What can it do?

Cuckoo Sandbox is an advanced, extremely modular, and 100% open source automated malware analysis system with infinite application opportunities. By default it is able to:


	Analyze many different malicious files (executables, office documents, pdf files, emails, etc) as well as malicious websites under Windows, Linux, Mac OS X, and Android virtualized environments.
	Trace API calls and general behavior of the file and distill this into high level information and signatures comprehensible by anyone.
	Dump and analyze network traffic, even when encrypted with SSL/TLS. With native network routing support to drop all traffic or route it through InetSIM, a network interface, or a VPN.
	Perform advanced memory analysis of the infected virtualized system through Volatility as well as on a process memory granularity using YARA.


Due to Cuckoo s open source nature and extensive modular design one may customize any aspect of the analysis environment, analysis results processing, and reporting stage. Cuckoo provides you all the requirements to easily integrate the sandbox into your existing framework and backend in the way you want, with the format you want, and all of that without licensing requirements.

.
DOI: 10.5281/zenodo.3245363
title: Data for the publication "A polarization-induced 2D hole gas in undoped gallium nitride quantum wells"

description: This upload contains the data presented in the manuscript "A polarization-induced 2D hole gas in undoped gallium nitride quantum wells", which reports the observation of a  high conductivity 2DHG in an epitaxially grown GaN/AlN heterostructure. This upload contains 4 files :


	1_tabulated_raw_data.xlsx : Both the raw experimental data along with the simulation results used in the Figures 1A, 2B, 3, 4, S2 in the paper. The data is encapsulated in a Excel file, with separate sheets used for each figure.
	2_nextnano_GaN_AlN_band_diagram.in :  Input file for nextnano software (https://www.nextnano.de/) for generating the band diagrams in the paper.
	3_README_XRD_sim.txt : Readme file with instructions for the XRD simulation for Fig 2
	4_XRD_sim_run.py : Python script for running the XRD simulation
DOI: 10.23721/100/1503941
title: Mobile-Security-Framework-MobSF

description: Mobile Security Framework (MobSF) is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing framework capable of performing static, dynamic and malware analysis. It can be used for effective and fast security analysis of Android, iOS and Windows mobile applications and support both binaries (APK, IPA   APPX ) and zipped source code. MobSF can do dynamic application testing at runtime for Android apps and has Web API fuzzing capabilities powered by CapFuzz, a Web API specific security scanner. MobSF is designed to make your CI/CD or DevSecOps pipeline integration seamless.
DOI: 10.23721/100/1503943
title: theZoo

description: theZoo is a project created to make the possibility of malware analysis open and available to the public. Since we have found out that almost all versions of malware are very hard to come by in a way which will allow analysis, we have decided to gather all of them for you in an accessible and safe way.theZoo was born by Yuval tisf Nativ and is now maintained by Shahak Shalev.

Disclaimer: theZoo s purpose is to allow the study of malware and enable people who are interested in malware analysis (or maybe even as a part of their job) to have access to live malware, analyse the ways they operate, and maybe even enable advanced and savvy people to block specific malware within their own environment.


Please remember that these are live and dangerous malware! They come encrypted and locked for a reason! Do NOT run them unless you are absolutely sure of what you are doing! They are to be used only for educational purposes (and we mean that!) !!!


We recommend running them in a VM which has no internet connection (or an internal virtual network if you must) and without guest additions or any equivalents. Some of them are worms and will automatically try to spread out. Running them unconstrained means that you will infect yourself or others with vicious and dangerous malware!!!
DOI: 10.23721/100/1503944
title: wifiphisher

description: Wifiphisher can be further used to mount victim-customized web phishing attacks against the connected clients in order to capture credentials (e.g. from third party login pages or WPA/WPA2 Pre-Shared Keys) or infect the victim stations with malwares. Wifiphisher is... ...powerful. Wifiphisher can run for hours inside a Raspberry Pi device executing all modern Wi-Fi association techniques (including Evil Twin , KARMA and Known Beacons ). ...flexible. Supports dozens of arguments and comes with a set of community-driven phishing templates for different deployment scenarios. ...modular. Users can write simple or complicated modules in Python to expand the functionality of the tool or create custom phishing scenarios in order to conduct specific target-oriented attacks. ...easy to use. Advanced users can utilize the rich set of features that Wifiphisher offers but beginners may start out as simply as ./bin/wifiphisher . The interactive Textual User Interface guides the tester through the build process of the attack. ...the result of an extensive research. Attacks like Known Beacons and Lure10 as well as state-of-the-art phishing techniques, were disclosed by our developers, and Wifiphisher was the first tool to incorporate them. ...supported by an awesome community of developers and users. ...free. Wifiphisher is available for free download, and also comes with full source code that you may study, change, or distribute under the terms of the GPLv3 license. How it works Wi-Fi phishing consists of two steps: 1.The first step involves the process of associating with Wi-Fi clients unknowingly, or in other words, obtaining a man-in-the-middle (MITM) position. Wifiphisher uses a number of different techniques to achieve this including: At the same time, Wifiphisher keeps forging Deauthenticate or Disassociate packets to disrupt existing associations and eventually lure victims using the above techniques. Evil Twin, where Wifiphisher creates a fake wireless network that looks similar to a legitimate network. KARMA, where Wifiphisher masquerades as a public network searched for by nearby Wi-Fi clients. Known Beacons, where Wifiphisher broadcasts a dictionary of common ESSIDs, that the around wireless stations have likely connected to in the past. 2. (Optionally) There are a number of different attacks that can be carried out once Wifiphisher grants the penetration tester with a man-in-the-middle position. For example, the tester may perform data sniffing or scan the victim stations for vulnerabilities. Using Wifiphisher, advanced web phishing techniques are possible by gathering information from the target environment and victim user. For example, in one of our scenarios, Wifiphisher will extract information from the broadcasted beacon frames and the HTTP User-Agent header to display a web-based imitation of Windows network manager in order to capture the Pre-Shared Key.
DOI: 10.23721/100/1503945
title: hosts

description: Take Note! This version of the Hosts file generator, and tests, are for Python 3.5+ only. Unified hosts file with base extensions This repository consolidates several reputable hosts files, and merges theminto a unified hosts file with duplicates removed. A variety of tailored hosts files are provided. Last updated: May 14 2019 . The raw hosts file with base extensions contains 39,087 entries.
DOI: 10.5281/zenodo.3245365
title: Supplemental data for the "Datenplausi-Prüfverfahren" study

description: Contains:


	task descriptions
	data obtained from executing the experiment
	R scripts developed for analysing the data
DOI: 10.5281/zenodo.3245366
title: Supplemental data for the "Datenplausi-Prüfverfahren" study

description: Contains:


	task descriptions
	data obtained from executing the experiment
	R scripts developed for analysing the data
DOI: 10.15139/s3/mvjh0u
title: Vision Zero: Safer Streets for Charlotte 2019-2030 Action Plan (2019). Charlotte, North Carolina

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
DOI: 10.5281/zenodo.3245334
title: CO2 emissions, water table and temperature time series from an undrained tropical peatland

description: Supplement to: Hoyt, A. M., Gandois, L. , Eri, J. , Kai, F. M., Harvey, C. F. and Cobb, A. R. (2019), CO2 emissions from an undrained tropical peatland: Interacting influences of temperature, shading and water table depth. <em>Global Change Biology</em>. https://doi.org/10.1111/gcb.14702
description: This research was supported by the National Research Foundation Singapore through the Singapore–MIT Alliance for Research and Technology's Center for Environmental Sensing and Modeling interdisciplinary research program, by the US National Science Foundation under Grants 1114155 and 1114161 (to C.F.H.), and by a grant from the Environmental Solutions Initiative at Massachusetts Institute of Technology.
description: {"references": ["Hoyt, A. M., Gandois, L. , Eri, J. , Kai, F. M., Harvey, C. F. and Cobb, A. R. (2019),\u00a0CO2 emissions from an undrained tropical peatland: Interacting influences of temperature, shading and water table depth.\u00a0Global Change Biology.\u00a0https://doi.org/10.1111/gcb.14702"]}
DOI: 10.5281/zenodo.3245335
title: CO2 emissions, water table and temperature time series from an undrained tropical peatland

description: Supplement to: Hoyt, A. M., Gandois, L. , Eri, J. , Kai, F. M., Harvey, C. F. and Cobb, A. R. (2019), CO2 emissions from an undrained tropical peatland: Interacting influences of temperature, shading and water table depth. <em>Global Change Biology</em>. https://doi.org/10.1111/gcb.14702
description: This research was supported by the National Research Foundation Singapore through the Singapore–MIT Alliance for Research and Technology's Center for Environmental Sensing and Modeling interdisciplinary research program, by the US National Science Foundation under Grants 1114155 and 1114161 (to C.F.H.), and by a grant from the Environmental Solutions Initiative at Massachusetts Institute of Technology.
description: {"references": ["Hoyt, A. M., Gandois, L. , Eri, J. , Kai, F. M., Harvey, C. F. and Cobb, A. R. (2019),\u00a0CO2 emissions from an undrained tropical peatland: Interacting influences of temperature, shading and water table depth.\u00a0Global Change Biology.\u00a0https://doi.org/10.1111/gcb.14702"]}
DOI: 10.17632/wvybbbvy9v.1
title: Data for: Effect of walking surface, late-cueing, physiological characteristics of aging, and gait parameters on turn style preference.

description: Supplemental data and Matlab code for turning strategy preference manuscript
DOI: 10.25345/c5306q
title: MassIVE MSV000083972 - Thorough performance evaluation of 213 nm ultraviolet photodissociation for top-down proteomics
title: In this study we benchmark the performance of ultraviolet photodissociation (UVPD) using 213 nm photons generated by a solid-state laser applied to the study of intact proteoforms from three organisms. 213 nm UVPD was compared to the commonly employed higher-energy collisional dissociation (HCD).
DOI: 10.7910/dvn/4tmv7d/2d6d7a
title: gamma failure rates for thoracic phantom(table 3) .xlsx

description: :unav
DOI: 10.7910/dvn/4tmv7d/bsv9ks
title: gamma failure rates for simple phantom(Fig 3-5) .xlsx

description: :unav
DOI: 10.7910/dvn/4tmv7d/foxkn1
title: DVH-simple phantom (FIg6-8).xlsx

description: :unav
DOI: 10.7910/dvn/4tmv7d/kpwnir
title: DVH-thoracic phantom(Fig 9).tab

description: :unav
DOI: 10.17632/69xt9f4srh.1
title: Data for: Effects of regional and local stress variabilities on fault slip tendency in the southern Taranaki Basin, New Zealand

description: Results from formation integrity test and leak-off test data in boreholes of the southern Taranaki Basin, New Zealand.
DOI: 10.5061/dryad.4j15t24/1
title: Delphinids_SABD1_SA99_gene_regions_concatenated

description: Alignment FASTA-file of concatenated mtDNA genes of 18 delphinids and two Tursiops spp.
DOI: 10.5061/dryad.4j15t24/2
title: Tursiops_gene_regions_concatenated

description: Alignment FASTA-file of concatenated mtDNA genes of 86 Tursiops spp.
DOI: 10.5061/dryad.4j15t24/3
title: Tursiops_Steno_bredanensis_aligned_whole_mtDNA

description: FASTA-alignment file of whole mtDNA Tursiops spp. and Steno bredanensis
DOI: 10.5061/dryad.4j15t24/4
title: BEAST2_Delphinid_Strict_clock_3rd_codons

description: BEAST2 xml file to run a strict clock model with delphinids using 3rd codon positions of mtDNA genes
DOI: 10.5061/dryad.4j15t24/5
title: StarBEAST2_Tursiops_input_3rd_codons

description: StarBEAST2 xml file to run a strict clock model with Tursiops spp. using 3rd codon positions of mtDNA genes
DOI: 10.7910/dvn/lz7xfz/jqs19f
title: 17ja063_fig05_data.hdf5
DOI: 10.5519/qd.fxsumym0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.7910/dvn/nwmmyo/92aw1z
title: Supplymentry Table S2.tab

description: Supplementary Table S2: List of variants observed in 946 genes associated with QTLs of plant growth, seed ECQ and GSS reported in Q-TARO database.
DOI: 10.7910/dvn/nwmmyo/ed8yrw
title: Supplymentry Table S7.tab

description: Supplementary Table S7: List of metabolic pathways associated with a gene that have novel variants in SM rice absent in rice variants of EnsemblPlant v40 database.
DOI: 10.7910/dvn/nwmmyo/grxgis
title: Supplymentry Table S5.xlsx

description: Supplementary Table S5: List of 46 unique allele in SM rice, compared with rice SNP seek database.
DOI: 10.7910/dvn/nwmmyo/iijneb
title: Supplymentry Table S1.tab

description: Supplementary Table S1: Annotation of 737 genes identified through an assembly  of  unmapped reads.
DOI: 10.7910/dvn/nwmmyo/jcbyxe
title: Supplymentry Table S4.xlsx

description: Supplementary Table S4: List of 861 loci with unique allele in SM rice, compared with rice SNP seek database. Missense variants are highlighted with saffron colour.
DOI: 10.7910/dvn/nwmmyo/jn3kmd
title: Supplymentry Table S3.tab

description: Supplementary Table S3: Detailed information of variants (SNPs/INDELs) with their annotation features identified in 946 genes responsible for ECQs, GSS, STR. Important and unique to SM rice variants highlighted with yellow color.
DOI: 10.7910/dvn/nwmmyo/keazbe
title: Supplymentry Table S6.tab

description: Supplementary Table S6a: List of 37,218 novel variants observed in SM rice, compared with rice SNPs collected from EnsemblPlants v40.
Supplementary Table S6b: Functional annotation of genes associated with novel stop gained, stop lost, start lost and other splice variation mutation with high impact.
Supplementary Table S6c: Functional annotation of novel missense variants and their associated genes.
Supplementary Table S6d: Significantly enriched GO terms of proteins with novel missense variants.
DOI: 10.7910/dvn/nwmmyo/muykm9
title: Supplymentry Table S8.tab

description: Supplementary Table S8: List of 12 homozygous polymorphic variants between SM and SM-Sub1 cultivar with their biomarker sequences.
DOI: 10.25919/5d033f04a2c68
title: Educational dataset based on Sydney Particle Study

description: Educational resources and lesson plans based on Sydney Particle Study 1 - Aerosol and gas data collection and Sydney Particle Study 2 - Aerosol and gas data collection
DOI: 10.17632/gcxjftvxdw.1
title: Data for: Adaptation knowledge for primary industries: known, not known and needed

description: Systematic review protocol and search strings used in this study.
DOI: 10.17632/jnkhs23b6w.1
title: Data for: Adaptation knowledge for primary industries: known, not known and needed

description: Summary of research outputs used in this review.
DOI: 10.5281/zenodo.3245437
title: Validated onshore and offshore time series for European countries (1979-2017)

description: This repository comprises hourly time series representing the onshore and offshore wind capacity factors in every European country (EU-28 except the islands Malta and Cyprus plus Norway and Switzerland) from 1979 to 2017. The term capacity factor is defined as the ratio between the delivered power and the cumulative installed capacity. 3 letter codes (ISO-3166-3) are used to identify the countries.

For every country, onshore wind time series are included. For some of the countries, offshore wind time series are also included. In both cases, the time series include data for the period 1979-2017.  However, for every year, the installed capacity layout is kept fixed and corresponds to turbines running in 2015. By doing so the time series for different years represent the weather influenced on the wind generation and are not impacted by differences in installed capacities.

To obtain onshore and offshore wind time series, wind velocity from Climate Forecast System Reanalysis (CFSR) dataset has been converted into electricity generation and aggregated at country level. The methodology was described in detail and validated for Denmark in Andresen <em>et al</em>., Energy 93 (2015). In the text annexed to the data files, a description of the data and parameters used to bias-correct the modelled time series for every European country is provided.

The license for the AU REatlas wind time series dataset is: Creative Commons Attribution 4.0 International (CC BY 4.0)

When using this data please make sure you include the following citation:

<em>M. Victoria and Gorm B. Andresen, Validated onshore and offshore time series for European countries (1979-2017), RE-INVEST project (2019) </em>

More information can be requested from M. Victoria (mvp@eng.au.dk) and Gorm B. Andresen (gba@eng.au.dk).

These time series were generated in the framework of RE-INVEST project. A similar dataset comprising solar photovoltaic time series at national scale can be accessed through the zenodo repository 10.5281/zenodo.1321809 and details can be found in Victoria and Andresen, Prog. In Phot.: Res and App. (2019)
DOI: 10.5281/zenodo.3245438
title: Validated onshore and offshore time series for European countries (1979-2017)

description: This repository comprises hourly time series representing the onshore and offshore wind capacity factors in every European country (EU-28 except the islands Malta and Cyprus plus Norway and Switzerland) from 1979 to 2017. The term capacity factor is defined as the ratio between the delivered power and the cumulative installed capacity. 3 letter codes (ISO-3166-3) are used to identify the countries.

For every country, onshore wind time series are included. For some of the countries, offshore wind time series are also included. In both cases, the time series include data for the period 1979-2017.  However, for every year, the installed capacity layout is kept fixed and corresponds to turbines running in 2015. By doing so the time series for different years represent the weather influenced on the wind generation and are not impacted by differences in installed capacities.

To obtain onshore and offshore wind time series, wind velocity from Climate Forecast System Reanalysis (CFSR) dataset has been converted into electricity generation and aggregated at country level. The methodology was described in detail and validated for Denmark in Andresen <em>et al</em>., Energy 93 (2015). In the text annexed to the data files, a description of the data and parameters used to bias-correct the modelled time series for every European country is provided.

The license for the AU REatlas wind time series dataset is: Creative Commons Attribution 4.0 International (CC BY 4.0)

When using this data please make sure you include the following citation:

<em>M. Victoria and Gorm B. Andresen, Validated onshore and offshore time series for European countries (1979-2017), RE-INVEST project (2019) </em>

More information can be requested from M. Victoria (mvp@eng.au.dk) and Gorm B. Andresen (gba@eng.au.dk).

These time series were generated in the framework of RE-INVEST project. A similar dataset comprising solar photovoltaic time series at national scale can be accessed through the zenodo repository 10.5281/zenodo.1321809 and details can be found in Victoria and Andresen, Prog. In Phot.: Res and App. (2019)
DOI: 10.5281/zenodo.3245446
title: Renaud et al. 2019 data

description: Four .xlsx files and one .accdb file containing results and underlying data from Renaud et al., (2019):

SINMODub_species_listc.xlsx --- Benthic fauna occurrence data with matched bias-corrected SINMOD bottom water output

SINMODub_species_gridcells_1979_2008.xlsx --- Bias-corrected SINMOD bottom water time averages from hindcast (1979-2008)

SINMODub_species_gridcells_2090s_A1B.xlsx --- Bias-corrected SINMOD bottom water time averages from SRES A1B projection (2090-2099)
DOI: 10.5066/p92r2nzg
title: Grand Liard Marsh and Ridge Restoration (BA-68): 2016 land-water classification

description: The Louisiana State Legislature created Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Grand Liard Marsh and Ridge Restoration (BA-68) project for 2016. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a land-water classification is performed on specific CWPPRA sites to help assess landscape changes.