cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10334534
title: 縄文中期石棒(千葉市加曽利貝塚) 観察記録3Dモデル

description: 縄文中期石棒(千葉市加曽利貝塚) 観察記録3Dモデル
出土:加曽利貝塚北貝塚 1-1区6・7住居跡
砂岩製
撮影場所:加曽利貝塚博物館常設展示
撮影月日:2020.07.14
ガラス面越し撮影
「史跡加曽利貝塚総括報告書」(2017、千葉市教育委員会)の記述:異形の石棒または石棒形石製品で、断面楕円形の幅広い体部に小さな頭部を作出する。被熱した3片が接合し完形になる。破片の1点は研磨によって黒変した部分が除去されており、砥石として使用されたものとみられる。
3Dモデル写真測量ソフト 3DF Zephyr で生成 v5.001 processing 38 images

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334535
title: 縄文中期石棒(千葉市加曽利貝塚) 観察記録3Dモデル

description: 縄文中期石棒(千葉市加曽利貝塚) 観察記録3Dモデル
出土:加曽利貝塚北貝塚 1-1区6・7住居跡
砂岩製
撮影場所:加曽利貝塚博物館常設展示
撮影月日:2020.07.14
ガラス面越し撮影
「史跡加曽利貝塚総括報告書」(2017、千葉市教育委員会)の記述:異形の石棒または石棒形石製品で、断面楕円形の幅広い体部に小さな頭部を作出する。被熱した3片が接合し完形になる。破片の1点は研磨によって黒変した部分が除去されており、砥石として使用されたものとみられる。
3Dモデル写真測量ソフト 3DF Zephyr で生成 v5.001 processing 38 images

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334538
title: Lyne 5

description: Model produced as part of an unmanned aerial photogrammetric survey of the Lyne area of Assynt, in NW Scotland.  Central Assynt contains the remains of at least 46 Neolithic and Bronze Age cairns and there is potential for further discoveries. 

Contains Loynemore cairn, period unassigned, see https://canmore.org.uk/site/4628/loynemore : http://her.highland.gov.uk/SingleResult.aspx?uid=MHG13046

Contour cropped survey area within 503m x 585m tile of 29.6 hectares, model created 02/04/2017, resolution 2.9 cm/px, camera DJI Inspire X3.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334539
title: Lyne 5

description: Model produced as part of an unmanned aerial photogrammetric survey of the Lyne area of Assynt, in NW Scotland.  Central Assynt contains the remains of at least 46 Neolithic and Bronze Age cairns and there is potential for further discoveries. 

Contains Loynemore cairn, period unassigned, see https://canmore.org.uk/site/4628/loynemore : http://her.highland.gov.uk/SingleResult.aspx?uid=MHG13046

Contour cropped survey area within 503m x 585m tile of 29.6 hectares, model created 02/04/2017, resolution 2.9 cm/px, camera DJI Inspire X3.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334540
title: Munich_lamppost decoration

description: cast iron lamppost decoration 
testing phone photography, Sketchfab settings
40 photos, Motorola z3
Agisoft Metashape 1.7
medium

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334541
title: Munich_lamppost decoration

description: cast iron lamppost decoration 
testing phone photography, Sketchfab settings
40 photos, Motorola z3
Agisoft Metashape 1.7
medium

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334542
title: Typical Russian wooden well

description: Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334543
title: Typical Russian wooden well

description: Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334550
title: CYPROIT PORTRAIT MAN - BRITISH MUSEUM 2020

description: Cypriot Sculpture. 350-250 BC. Portrait. Man. British Museum.

3D Model Update 25 / 04 / 2020

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334551
title: CYPROIT PORTRAIT MAN - BRITISH MUSEUM 2020

description: Cypriot Sculpture. 350-250 BC. Portrait. Man. British Museum.

3D Model Update 25 / 04 / 2020

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334554
title: Neolithic grave from Hjärup, Scania, Sweden

description: Agisoft: High on Accuracy on Align, Medium quality on Dense cloud, Medium on Mesh, 8192 pix on Texture. Non lit in Sketchfab.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334555
title: Neolithic grave from Hjärup, Scania, Sweden

description: Agisoft: High on Accuracy on Align, Medium quality on Dense cloud, Medium on Mesh, 8192 pix on Texture. Non lit in Sketchfab.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334556
title: West Kennett Long Barrow

description: Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334557
title: West Kennett Long Barrow

description: Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334560
title: Mortar - Macarthur Park

description: Photogrammetry produced model of  German  WW1 mortar in Macarthur Park, Camden NSW Australia

170mm Mittlerer Minenwerfer (Medium Mortar)
Serial Number: 	3578
Date of Manufacture: 	1917
Manufacturer: 	Not Visible
Calibre: 	170mm
Weight of Projectile: 	54.5 kg
Range: 	1,160 metres

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334561
title: Mortar - Macarthur Park

description: Photogrammetry produced model of  German  WW1 mortar in Macarthur Park, Camden NSW Australia

170mm Mittlerer Minenwerfer (Medium Mortar)
Serial Number: 	3578
Date of Manufacture: 	1917
Manufacturer: 	Not Visible
Calibre: 	170mm
Weight of Projectile: 	54.5 kg
Range: 	1,160 metres

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334562
title: Monument to Russian-Japanese relations

description: Monument to Russian-Japanese relations. Camera: smartphone Sony L2. Created in RealityCapture by Capturing Reality from 181 images in 00h:27m:53s.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334563
title: Monument to Russian-Japanese relations

description: Monument to Russian-Japanese relations. Camera: smartphone Sony L2. Created in RealityCapture by Capturing Reality from 181 images in 00h:27m:53s.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334564
title: Marble07

description: https://publicdomaintextures.com/

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334565
title: Marble07

description: https://publicdomaintextures.com/

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334566
title: 2016-09 - Beijing - 06

description: 23 Photos taken with a Camera SONY DSC-HX400V, then processed with Agisoft Photoscan.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334567
title: 2016-09 - Beijing - 06

description: 23 Photos taken with a Camera SONY DSC-HX400V, then processed with Agisoft Photoscan.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10334568
title: Sculpture "Birds" by Jędrzej Wowro

description: ID no.: 449/97

https://muzea.malopolska.pl/en/objects-list/332

Museum: City Museum in Wadowice

Digitalisation: RDW MIC, Małopolska's Virtual Museums Plus project

Source: Objaverse 1.0 / Sketchfab
DOI: 10.17632/9fh5fnf25k.1
title: Data for: The use of infrared thermography to investigate emotions in common marmosets

description: Excel Table with raw data that was used for the statistical analysis and graphical illustrations of the research paper "The use of infrared thermography to investigate emotions in common marmosets"
DOI: 10.7910/dvn/e9tnbz/5ovif3
title: A2007041.L3m_8D_CSD_9km.nc

description: :unav
DOI: 10.7910/dvn/e9tnbz/93ksgh
title: A2007073.L3m_8D_CSD_9km.nc

description: :unav
DOI: 10.7910/dvn/e9tnbz/b6yorr
title: A2004121.L3m_8D_CSD_9km.nc

description: :unav
DOI: 10.7910/dvn/e9tnbz/b9xmib
title: A2009241.L3m_8D_CSD_9km.nc

description: :unav
DOI: 10.7910/dvn/e9tnbz/kwdop3
title: A2011017.L3m_8D_CSD_9km.nc

description: :unav
DOI: 10.5281/zenodo.3404108
title: Restoration Industry Burnout Study

description: Restoration industry study on burnout using MBI and AWS.
DOI: 10.5281/zenodo.3404012
title: Model weights for single-label, 5-class models from https://doi.org/10.1101/482877

description: The set of molecules used for training is in "5cls_rmsaltol.csv". If you try to predict from an image of any of these molecules the model will almost certainly be correct because this was the training data. 5cls_single_novalidation.model.h5 uses only the molecule with index 0 from 5cls_rmsaltol.csv. 5cls_single_valset0.h5 and 5cls_single_valset1.h5 both used 20% of the data as validation set - the respective indexes of those validation sets are givent in 5cls_newskf0.csv and 5cls_newskf1.csv
DOI: 10.5281/zenodo.3404013
title: Model weights for single-label, 5-class models from https://doi.org/10.1101/482877

description: The set of molecules used for training is in "5cls_rmsaltol.csv". If you try to predict from an image of any of these molecules the model will almost certainly be correct because this was the training data. 5cls_single_novalidation.model.h5 uses only the molecule with index 0 from 5cls_rmsaltol.csv. 5cls_single_valset0.h5 and 5cls_single_valset1.h5 both used 20% of the data as validation set - the respective indexes of those validation sets are givent in 5cls_newskf0.csv and 5cls_newskf1.csv
DOI: 10.5281/zenodo.3404107
title: Restoration Industry Burnout Study

description: Restoration industry study on burnout using MBI and AWS.
DOI: 10.15468/c9rjwo
title: Three new species of Sinningia (Gesneriaceae) endemic to Espírito Santo, Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Chautems, Alain, Valquíria F. Dutra,, Fontana, André P., Peixoto, Mauro, Perret, Mathieu, Rossini, Josiene (2019): Three new species of Sinningia (Gesneriaceae) endemic to Espírito Santo, Brazil. Candollea 74 (1): 33-42, DOI: 10.15553/c2019v741a5
DOI: 10.17632/75cd6hy7mn.1
title: Data for: Carbonaceous and water-soluble inorganic aerosols over a semi-arid location in North West India: seasonal variations and source characteristics

description: Average mass concentrations (in µg m-3) of different analysed and estimated aerosol components for dry (Oct-May) and wet (Jun-Sep) periods. Details of the abbreviations are given in relevant part of the text
DOI: 10.5281/zenodo.3404237
title: Psychometric properties of the World Health Organization's Quality of Life (WHOQOL-BREF) questionnaire in Serbian medical students

description: <strong>Psychometric properties of the World Health Organization's Quality of Life (WHOQOL-BREF) questionnaire in Serbian medical students </strong>
DOI: 10.23721/100/1504311
title: Active DNS Project

description: The dataset comes in Avro format which can be processed by several tools like avro-tools or fastavro for Python. We are working on a JSON version of the data for applications that do not rely on Java or Hadoop. This data is freely available to the academic research community for incorporation into new or existing work. This dataset relies on active DNS and a new large scale system, Thales, which is able to systematically query and collect large volumes of active DNS data. The output of this system is a distilled dataset that can be easily used by the security community. Thales has been reliably active for more than six monts and collected many terabytes of DNS data, while causing only a handful of abuse complaints.
DOI: 10.23721/100/1504312
title: Auto-labeled Corpus

description: This corpus was generated and first used in the following paper, which provides many additional details. Bridges, Robert A., et al. "Automatic Labeling for Entity Extraction in Cyber Security.” accepted The Third ASE International Conference on Cyber Security 2014. Preprint arXiv preprint arXiv:1308.4941 (2013). The src/python/tagging directory contains scripts to generate and tag the initial corpus, using various heuristics. The src/python/learning directory contains scripts to generate a model from the tagged corpus, and then evaluate this model. Training, as well as testing, are done for IOB-tagging, and then domain labeling, but the process is the same for both.
DOI: 10.23721/100/1504331
title: CyberVAN

description: CyberVAN provides the highest fidelity representation of a network next to actually deploying the real network, by representing the network in a discrete event network simulator, and enabling hosts represented by virtual machines (VMs) to communicate over this simulated network. CyberVAN provides the highest fidelity representation of a network next to actually deploying the real network, by representing the network in a discrete event network simulator, and enabling hosts represented by virtual machines (VMs) to communicate over this simulated network.
DOI: 10.23721/100/1504332
title: ICS Cyber Attack Power System Datasets

description: There are three datasets contained in this folder. They are made from one initial dataset consisting of fifteen sets with 37 power system event scenarios in each. The multiclass datasets are in ARFF format for easy use with Weka and the others are in CSV format also compatible with Weka. The 37 scenarios are divided into Natural Events (8), No Events (1) and Attack Events (28). The datasets were randomly sampled at one percent and grouped into: ? Binary ? Three-class and ? Multiclass datasets.
DOI: 10.23721/100/1504314
title: Syrian Malware

description: Each sample lists its respective MD5 hash, filename, links to any media sources or technical details which mention that sample specifically, and a download link.
DOI: 10.23721/100/1504316
title: Microsoft Malware Classification Challenge (BIG 2015)

description: For each file, the raw data contains the hexadecimal representation of the file's binary content, without the PE header (to ensure sterility). Also provided is a metadata manifest, which is a log containing various metadata information extracted from the binary, such as function calls, strings, etc. The dataset consists of known malware files representing a mix of 9 different families. Each malware file has an Id, a 20 character hash value uniquely identifying the file, and a Class, an integer representing one of 9 family names to which the malware may belong: Ramnit Lollipop Kelihos_ver3 Vundo Simda Tracur Kelihos_ver1 Obfuscator.ACY Gatak
DOI: 10.23721/100/1504330
title: Hybrid Analysis Tool

description: The Hybrid Analysis Tool makes use of the Falcon Sandbox, which is a high end malware analysis framework with a very agile architecture. It can be implemented as a large-scale system processing hundred thousands of files automatically (utilizing e.g. the simple REST API) or as a webservice for incident response, forensics and/or as an enterprise self-service portal. Due to its simple interface and numerous integration capabilities with other technology providers, it seamlessly enriches a SOCs incident response workflow and security stack.
DOI: 10.23721/100/1504333
title: ICS PCAPS

description: This dataset was generated on a small-scale process automation scenario using MODBUS/TCP equipment, for research on the application of ML techniques to cybersecurity in Industrial Control Systems. The testbed emulates a CPS process controlled by a SCADA system using the MODBUS/TCP protocol. It consists of a liquid pump simulated by an electric motor controlled by a variable frequency drive (allowing for multiple rotor speeds), which in its turn controlled by a Programmable Logic Controller (PLC). The motor speed is determined by a set of predefined liquid temperature thresholds, whose measurement is provided by a MODBUS Remote Terminal Unit (RTU) device providing a temperature gauge, which is simulated by a potentiometer connected to an Arduino. The PLC communicates horizontally with the RTU, providing insightful knowledge of how this type of communications may have an effect on the overall system. The PLC also communicates with the Human-Machine Interface (HMI) controlling the system.
DOI: 10.23721/100/1504334
title: Standard Dragon NIDS Alert Logs

description: Date range of data: 2006-2007, 590 days of continuous operation Number of logs: 590 (one per day) Collection method: The data was collected from the Enterasys Dragon NIDS 4.x intrusion detection system. The raw alert logs are provided as-is, with no post-processing (sanitization or anonymization) performed.
DOI: 10.23721/100/1504367
title: Malware Samples

description: All of the malware samples contained in this repository have been collected by several honeypots installed on different locations all over the world. Malware with a generic name such as MD5 value or smbxxx.tmp were not detected as malware by virustotal at the moment of the upload, but this does not mean it's not malware.
DOI: 10.23721/100/1504383
title: SandDroid

description: Features of SandDroid: Static Analysis: Basic Information Extraction: file size, file hash, package name, SDK version, etc Certification Analysis: Parse the certification and check if it's from AOSP. Category Analysis: Classify the APK to different categories based on the permission information Permission Analysis: Extract permissions (include customized permissions) and detect if the declared permission is used Component Analysis: List all the components (include dynamically registered broadcast receivers) and analyze if the component is exported Code Feature Analysis: Check native code, java reflection, dynamic loader usage Advertisement Module Analysis: Extract all the advertisement modules Sensitive API Analysis: List all the sensitive APIs and the caller code path Dynamic Analysis: Network Data Record: capture all the network data during the APK's running period Http Data Recovery: recover data from http flow IP Distribution Analysis: parse IP information based on the extracted URLs File Operation Monitor: record file path and data SMS & Phone Call Monitor: record sms sent and phone call SMS Block Monitor: record sms block behavior Crypto Operation Monitor: record crypto usage Data Leakage Monitor: data leakage Comprehensive Analysis: Risky Behaviors Summary: list risky behaviors Risk Score: Calculate the risk score based on the static and dynamic analysis result
DOI: 10.23721/100/1504317
title: Android Malware Dataset (Argus Lab)

description: The dataset provides an up-to-date picture of the current landscape of Android malware, and is publicly shared with the community. AMD provides detailed description of the malware’s behaviors through manual analysis. Detailed documentation of the manual analysis results are produced, and observations of the current landscape of Android malware are reported.
DOI: 10.23721/100/1504318
title: Credit Card Fraud Detection

description: The dataset is highly unbalanced, the positive class (frauds) account for 0.172% of all transactions.It contains only numerical input variables which are the result of a PCA transformation. Unfortunately, due to confidentiality issues, the original features and more background information about the data are not provided. The dataset has been collected and analysed during a research collaboration of Worldline and the Machine Learning Group of ULB (Université Libre de Bruxelles) on big data mining and fraud detection. Features V1, V2, ... V28 are the principal components obtained with PCA, the only features which have not been transformed with PCA are 'Time' and 'Amount'. Feature 'Time' contains the seconds elapsed between each transaction and the first transaction in the dataset. The feature 'Amount' is the transaction Amount, this feature can be used for example-dependant cost-senstive learning. Feature 'Class' is the response variable and it takes value 1 in case of fraud and 0 otherwise.
DOI: 10.23721/100/1504319
title: Ransomware Tracker Blocklist

description: The update interval for the available blocklists is 5 minutes. Blocklists are separated based on malware and blocklist type (URL, Domain, or IP). They allow you to be more specific in what you want to block (e.g. only a certain malware family or blocklist type). The recommended format for the blocklists is a combined format which contains data from all malware types. They might not catch everything, but the false positive rate should be low. However, false positives are possible, especially with regards to RW_IPBL. IP addresses associated with Ransomware Payment Sites (*_PS_IPBL) or Locky botnet C&Cs (LY_C2_IPBL) stay listed on RW_IPBL for a time of 30 days after the last appearence. This means that an IP address stays listed on RW_IPBL even after the threat has been eliminated (e.g. the VPS / server has been suspended by the hosting provider) for another 30 days.
DOI: 10.23721/100/1504320
title: URLhaus Malware Database

description: The URLhaus database dump is a simple CSV feed that contains all malware URLs that are currently known to URLhaus. The CSV contains the following items: ID Dateadded (UTC) URL URL status Threat Associated tags Link to URLhaus entry Reporter The CSV gets generated every 5 minutes. Please do not fetch it more often than every 5 minutes. *URLhaus also offers their dataset in alternative formats on their website, such as in plaintext or clamAV formats.
DOI: 10.23721/100/1504384
title: Kharon Malware Dataset

description: This collection gives as much as possible a representation of the diversity of malware types. The dataset includes extracts of other well-known Android Malware sets such as The Genome Project and the Contagio Mobile Dataset
DOI: 10.23721/100/1504385
title: The Sleuth Kit

description: The Sleuth Kit is an open source forensic toolkit for analyzing Microsoft and UNIX file systems and disks. The Sleuth Kit enables investigators to identify and recover evidence from images acquired during incident response or from live systems. The Sleuth Kit is open source, which allows investigators to verify the actions of the tool or customize it to specific needs. The Sleuth Kit uses code from the file system analysis tools of The Coroner's Toolkit (TCT) by Wietse Venema and Dan Farmer. The TCT code was modified for platform independence. In addition, support was added for the NTFS (see docs/ntfs.README) and FAT (see docs/fat.README) file systems.The Sleuth Kit allows one to analyze a disk or file system image created by 'dd', or a similar application that creates a raw image. These tools are low-level and each performs a single task. When used together, they can perform a full analysis.
DOI: 10.23721/100/1504386
title: MIG: Mozilla InvestiGator

description: MIG is a platform to perform investigative surgery on remote endpoints. It enables investigators to obtain information from large numbers of systems in parallel, thus accelerating investigation of incidents and day-to-day operations security. MIG is composed of agents installed on all systems of an infrastructure that are be queried in real-time to investigate the file-systems, network state, memory or configuration of endpoints. MIG is built in Go and uses a REST API that receives signed JSON messages distributed to agents via RabbitMQ and stored in a Postgres database. It is: - Massively Distributed means Fast. - Simple to deploy and Cross-Platform. - Secured using OpenPGP. - Respectful of privacy by never retrieving raw data from endpoints.
DOI: 10.23721/100/1504387
title: Beagle

description: Supported data sources for Beagle include FireEye HX Triages, Windows EVTX files, SysMon logs and Raw Windows memory images. The resulting Graphs can be sent to graph databases such as Neo4J or DGraph, or they can be kept locally as Python NetworkX objects. Beagle can be used directly as a python library, or through a provided web interface.
DOI: 10.23721/100/1504403
title: OpenVAS

description: The capabilities of OpenVAS include unauthenticated testing, authenticated testing, various high level and low level Internet and industrial protocols, performance tuning for large-scale scans and a powerful internal programming language to implement any type of vulnerability test. The scanner is accompanied by a vulnerability tests feed with a long history and daily updates. This Greenbone Community Feed includes more than 50,000 vulnerability tests.
DOI: 10.5281/zenodo.3404213
title: weecology/PortalData 1.129.0

description: Official Repo of the Portal Project Data