cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wvjjxr8bxx
title: CryptoVision: A Comprehensive Dataset for Crypto News and Trend Prediction

description: This dataset provides a large-scale collection of 188,431 cryptocurrency news articles published between 2017 and 2025. The articles were gathered from reputable sources, including BlockWorks, Coindesk, Cointelegraph, CryptoPanic,CryptoNews, and Decrypt, using Python-based web scraping pipelines. Each entry contains rich metadata such as the article title, full-text content, publication source, URL, sentiment label, and the percentage change in the corresponding cryptocurrency’s price movement around the publication time.

To enhance research utility, sentiment labels were automatically generated using fine-tuned transformer models (BERT and DistilBERT), with additional manual checks for validation. Articles are categorized into three sentiment classes: positive, negative, and neutral.

This dataset is particularly valuable for machine learning and financial research, including:

1.Training and evaluating sentiment analysis models tailored to financial text.
2.Developing cryptocurrency price prediction models by linking sentiment with historical price and volume data.
3.Investigating the correlation between news sentiment and market trends across multiple cryptocurrencies.
4.Exploring the potential of sentiment-driven trading strategies in highly volatile markets.

The dataset’s scale, diversity, and decade-long coverage make it a unique resource for researchers in computer science, finance, and data science, especially those working on natural language processing (NLP), predictive modeling, and market forecasting.
DOI: 10.15468/dl.yswm5e
title: Occurrence Download

description: A dataset containing 2805 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Spodoptera signifera, Spodoptera plagiata, Spodoptera obscura, Spodoptera autumnalis, Spodoptera macra, Spodoptera inepta, Spodoptera fulvosa, Spodoptera flavimaculata, Spodoptera frugiperda)",
 "Year 2001-2020"
 ]
}

 The dataset includes 2805 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029690-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wvjjxr8bxx.1
title: CryptoVision: A Comprehensive Dataset for Crypto News and Trend Prediction

description: This dataset provides a large-scale collection of 188,431 cryptocurrency news articles published between 2017 and 2025. The articles were gathered from reputable sources, including BlockWorks, Coindesk, Cointelegraph, CryptoPanic,CryptoNews, and Decrypt, using Python-based web scraping pipelines. Each entry contains rich metadata such as the article title, full-text content, publication source, URL, sentiment label, and the percentage change in the corresponding cryptocurrency’s price movement around the publication time.

To enhance research utility, sentiment labels were automatically generated using fine-tuned transformer models (BERT and DistilBERT), with additional manual checks for validation. Articles are categorized into three sentiment classes: positive, negative, and neutral.

This dataset is particularly valuable for machine learning and financial research, including:

1.Training and evaluating sentiment analysis models tailored to financial text.
2.Developing cryptocurrency price prediction models by linking sentiment with historical price and volume data.
3.Investigating the correlation between news sentiment and market trends across multiple cryptocurrencies.
4.Exploring the potential of sentiment-driven trading strategies in highly volatile markets.

The dataset’s scale, diversity, and decade-long coverage make it a unique resource for researchers in computer science, finance, and data science, especially those working on natural language processing (NLP), predictive modeling, and market forecasting.
DOI: 10.17632/74sj7c25vd
title: Risk Analysis with MAGERIT and Risk Matrix Application

description: This laboratory develops practical skills in information security risk analysis using the MAGERIT methodology and risk matrix modeling. Students will work on a case study involving a small financial services company (FinSecure Ltd.) that faces threats to its information systems. They will identify critical information assets, evaluate associated threats and vulnerabilities, calculate risk levels, and represent results in a risk matrix and heat map. The laboratory emphasizes decision-making based on risk prioritization and prepares students to propose practical safeguards aligned with ISO 31000 and ISO/IEC 27001 standards.
DOI: 10.17632/74sj7c25vd.1
title: Risk Analysis with MAGERIT and Risk Matrix Application

description: This laboratory develops practical skills in information security risk analysis using the MAGERIT methodology and risk matrix modeling. Students will work on a case study involving a small financial services company (FinSecure Ltd.) that faces threats to its information systems. They will identify critical information assets, evaluate associated threats and vulnerabilities, calculate risk levels, and represent results in a risk matrix and heat map. The laboratory emphasizes decision-making based on risk prioritization and prepares students to propose practical safeguards aligned with ISO 31000 and ISO/IEC 27001 standards.
DOI: 10.15468/dl.37y8g3
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chaetoceros decipiens",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 46 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029691-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/x2ccx8syh9
title: PERFORMANCE ANALYSIS OF A MULTI-SUBNET VLAN-BASED NETWORK WITH INTER-VLAN ROUTING

description: the structured design and implementation of a hierarchical enterprise-style network, emphasizing the configuration of Virtual Local Area Networks (VLANs), inter-VLAN routing, and the analysis of network performance metrics. Students will configure VLANs across multiple switches, implement a router-on-a-stick architecture to enable communication between subnets, and validate connectivity using diagnostic and monitoring commands.
The practice extends beyond basic configuration to include segmentation for scalability and security, static routing for interconnectivity, and performance evaluation under simulated congestion conditions. By combining theoretical principles from the OSI and TCP/IP models with practical implementation, students will be able to critically evaluate the relationship between network design choices and measurable performance indicators such as delay, throughput, and packet loss.
DOI: 10.17632/x2ccx8syh9.1
title: PERFORMANCE ANALYSIS OF A MULTI-SUBNET VLAN-BASED NETWORK WITH INTER-VLAN ROUTING

description: the structured design and implementation of a hierarchical enterprise-style network, emphasizing the configuration of Virtual Local Area Networks (VLANs), inter-VLAN routing, and the analysis of network performance metrics. Students will configure VLANs across multiple switches, implement a router-on-a-stick architecture to enable communication between subnets, and validate connectivity using diagnostic and monitoring commands.
The practice extends beyond basic configuration to include segmentation for scalability and security, static routing for interconnectivity, and performance evaluation under simulated congestion conditions. By combining theoretical principles from the OSI and TCP/IP models with practical implementation, students will be able to critically evaluate the relationship between network design choices and measurable performance indicators such as delay, throughput, and packet loss.
DOI: 10.15468/dl.hh6jgh
title: Occurrence Download

description: A dataset listing the 682 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON Z((27.28258 -26.47347 0,27.29359 -26.47038 0,27.29944 -26.47236 0,27.30491 -26.46558 0,27.30009 -26.45543 0,27.33029 -26.44605 0,27.34835 -26.45724 0,27.34611 -26.46564 0,27.35553 -26.47175 0,27.36304 -26.47025 0,27.3651 -26.46306 0,27.36004 -26.45952 0,27.36198 -26.45699 0,27.35425 -26.4526 0,27.377 -26.41755 0,27.39014 -26.41654 0,27.39543 -26.42345 0,27.40373 -26.42431 0,27.41193 -26.42225 0,27.41728 -26.41748 0,27.43171 -26.40431 0,27.43318 -26.39835 0,27.43175 -26.39672 0,27.42867 -26.40659 0,27.42134 -26.41015 0,27.41099 -26.4203 0,27.40399 -26.4229 0,27.39895 -26.4216 0,27.40564 -26.41129 0,27.40504 -26.40523 0,27.40841 -26.40448 0,27.40781 -26.40274 0,27.40335 -26.40404 0,27.40418 -26.41108 0,27.39665 -26.42117 0,27.39496 -26.42096 0,27.39195 -26.41449 0,27.37555 -26.41615 0,27.36075 -26.44008 0,27.3475 -26.44224 0,27.34653 -26.43857 0,27.3498 -26.43717 0,27.34944 -26.43555 0,27.3436 -26.43739 0,27.33724 -26.42541 0,27.33371 -26.41295 0,27.32639 -26.40782 0,27.32505 -26.40748 0,27.32581 -26.40977 0,27.332 -26.41358 0,27.33508 -26.42541 0,27.34554 -26.44365 0,27.36027 -26.44127 0,27.34944 -26.45541 0,27.33052 -26.44399 0,27.28107 -26.45947 0,27.27416 -26.45709 0,27.26846 -26.46324 0,27.28258 -26.47347 0))",
 "Geometry POLYGON((27.25435 -26.49705,27.45265 -26.49447,27.44921 -26.3787,27.25148 -26.38041,27.25435 -26.49705))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 682 records were derived from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029648-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/88rwtzp8th
title: IPv4 Addressing and VLSM Subnetting

description: Unlike fixed-length subnetting, VLSM allows the allocation of subnet masks of different sizes based on specific host requirements. Students will work with a constrained IPv4 address block and subdivide it to match departmental needs, minimizing wasted addresses. The practice emphasizes analytical skills, hierarchical design, and practical implementation using Cisco Packet Tracer or GNS3.
DOI: 10.17632/88rwtzp8th.1
title: IPv4 Addressing and VLSM Subnetting

description: Unlike fixed-length subnetting, VLSM allows the allocation of subnet masks of different sizes based on specific host requirements. Students will work with a constrained IPv4 address block and subdivide it to match departmental needs, minimizing wasted addresses. The practice emphasizes analytical skills, hierarchical design, and practical implementation using Cisco Packet Tracer or GNS3.
DOI: 10.17632/448rhhpj32
title: IPv4 Addressing and Subnetting with Fixed-Length Subnets

description: Given a classful IPv4 network, students will design fixed-length subnets by borrowing host bits from the host portion of the address. The activity develops skills in calculating subnet masks, determining the number of valid hosts, identifying network and broadcast addresses, and applying the addressing plan to a simulated topology using Cisco devices in Packet Tracer.
DOI: 10.17632/448rhhpj32.1
title: IPv4 Addressing and Subnetting with Fixed-Length Subnets

description: Given a classful IPv4 network, students will design fixed-length subnets by borrowing host bits from the host portion of the address. The activity develops skills in calculating subnet masks, determining the number of valid hosts, identifying network and broadcast addresses, and applying the addressing plan to a simulated topology using Cisco devices in Packet Tracer.
DOI: 10.17632/c78dwj3m68
title: Auditing and Configuring Security in a Simulated Enterprise Environment

description: AAA protocols are critical for strengthening access control in enterprise networks by centralizing identity management and ensuring accountability through activity logging.
The case study involves NetBank Ltd., a fictitious financial services company that has outgrown the limitations of traditional local passwords. The organization seeks to transition toward a centralized AAA solution to mitigate risks such as shared credentials, lack of access traceability, and limited administrative control. Students will configure routers to authenticate against TACACS+ and RADIUS servers, verify redundancy through local accounts, and audit system responses under normal and attack conditions.
DOI: 10.17632/c78dwj3m68.1
title: Auditing and Configuring Security in a Simulated Enterprise Environment

description: AAA protocols are critical for strengthening access control in enterprise networks by centralizing identity management and ensuring accountability through activity logging.
The case study involves NetBank Ltd., a fictitious financial services company that has outgrown the limitations of traditional local passwords. The organization seeks to transition toward a centralized AAA solution to mitigate risks such as shared credentials, lack of access traceability, and limited administrative control. Students will configure routers to authenticate against TACACS+ and RADIUS servers, verify redundancy through local accounts, and audit system responses under normal and attack conditions.
DOI: 10.5281/zenodo.17223174
title: Diffusion–Model–Driven Discovery of Ferroelectrics for Photocurrent Applications

description: This dataset contains 12,800 crystal structures generated using the MatterGen diffusion model for discovery of ferroelectrics. All structures are provided in CIF format and have been compressed into a single archive for convenient access.
DOI: 10.17632/7bn3sk8c58
title: Audit of IT General Controls

description: At present, branch routers rely on shared local passwords administered informally among network staff. This approach creates multiple risk vectors: lack of accountability (no way to attribute configuration changes to specific admins), stale credentials that remain valid after staff departures, and non-compliance with regulatory frameworks such as ISO 27001 and SOX ITGC requirements.
To address these gaps, senior management has mandated a migration to centralized AAA (Authentication, Authorization, and Accounting). The goal is to enforce identity-based access, provide a tamper-resistant audit trail of all logins and configuration changes, and implement a least privilege model. R2 will be integrated with a TACACS+ server (192.168.2.2) for granular command authorization and full-payload logging, while R3 will leverage a RADIUS server (192.168.3.2) suitable for scalable user authentication.
Students are tasked with staging and validating this migration in a lab environment. They must configure local fallback accounts (Admin2 on R2, Admin3 on R3) to guarantee business continuity if AAA servers become unreachable. The exercise includes connectivity verification (ICMP reachability), AAA new-model enablement, group definition, console/VTY method list application, and functional testing with valid, invalid, and fallback credentials.
Finally, students will trigger failed logins, pull logs from TACACS+ and RADIUS servers, and perform a comparative analysis of log fidelity and forensic usefulness. Deliverables include configuration snippets, test evidence, and a formal recommendation report for NetBank’s CISO.
DOI: 10.17632/7bn3sk8c58.1
title: Audit of IT General Controls

description: At present, branch routers rely on shared local passwords administered informally among network staff. This approach creates multiple risk vectors: lack of accountability (no way to attribute configuration changes to specific admins), stale credentials that remain valid after staff departures, and non-compliance with regulatory frameworks such as ISO 27001 and SOX ITGC requirements.
To address these gaps, senior management has mandated a migration to centralized AAA (Authentication, Authorization, and Accounting). The goal is to enforce identity-based access, provide a tamper-resistant audit trail of all logins and configuration changes, and implement a least privilege model. R2 will be integrated with a TACACS+ server (192.168.2.2) for granular command authorization and full-payload logging, while R3 will leverage a RADIUS server (192.168.3.2) suitable for scalable user authentication.
Students are tasked with staging and validating this migration in a lab environment. They must configure local fallback accounts (Admin2 on R2, Admin3 on R3) to guarantee business continuity if AAA servers become unreachable. The exercise includes connectivity verification (ICMP reachability), AAA new-model enablement, group definition, console/VTY method list application, and functional testing with valid, invalid, and fallback credentials.
Finally, students will trigger failed logins, pull logs from TACACS+ and RADIUS servers, and perform a comparative analysis of log fidelity and forensic usefulness. Deliverables include configuration snippets, test evidence, and a formal recommendation report for NetBank’s CISO.
DOI: 10.15468/dl.capyxv
title: Occurrence Download

description: A dataset containing 503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nelumbo nucifera",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 503 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029695-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eu5uzt
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zosterops auriventer",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029693-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mpcx8yr2wv
title: Audit of Application and Database Controls

description: In modern financial environments, errors and fraud can originate not only from external attackers but also from weaknesses in internal processes. Therefore, organizations must rely on strong automated controls to guarantee that every transaction is validated, reconciled, securely stored, and auditable.
Students are expected to explore the importance of input validation, ensuring that incorrect or malicious data (such as negative amounts, excessively large fields, or special characters) is rejected before entering the system. They will also evaluate reconciliation processes, which are fundamental in finance because input records must always match output totals in reports, statements, or summaries. Any discrepancies could indicate data integrity failures or fraudulent activity.
Additionally, the lab requires testing of referential integrity at the database level, where relationships between tables (e.g., customers, accounts, transactions, invoices) must be preserved by primary and foreign key constraints. This prevents orphan records and ensures consistent financial information.
Finally, students will analyze audit trails and system logs, which record user activity, timestamps, and system actions. These mechanisms are vital for accountability, compliance with regulations, and forensic investigations in case of disputes. The expected outcome is for students not only to execute the tests but also to critically assess the system’s strengths and deficiencies, and then recommend improvements to FinGroup’s financial control framework.
DOI: 10.17632/mpcx8yr2wv.1
title: Audit of Application and Database Controls

description: In modern financial environments, errors and fraud can originate not only from external attackers but also from weaknesses in internal processes. Therefore, organizations must rely on strong automated controls to guarantee that every transaction is validated, reconciled, securely stored, and auditable.
Students are expected to explore the importance of input validation, ensuring that incorrect or malicious data (such as negative amounts, excessively large fields, or special characters) is rejected before entering the system. They will also evaluate reconciliation processes, which are fundamental in finance because input records must always match output totals in reports, statements, or summaries. Any discrepancies could indicate data integrity failures or fraudulent activity.
Additionally, the lab requires testing of referential integrity at the database level, where relationships between tables (e.g., customers, accounts, transactions, invoices) must be preserved by primary and foreign key constraints. This prevents orphan records and ensures consistent financial information.
Finally, students will analyze audit trails and system logs, which record user activity, timestamps, and system actions. These mechanisms are vital for accountability, compliance with regulations, and forensic investigations in case of disputes. The expected outcome is for students not only to execute the tests but also to critically assess the system’s strengths and deficiencies, and then recommend improvements to FinGroup’s financial control framework.
DOI: 10.5281/zenodo.17225496
title: Family firms: SEW, HRM practices, and financial indicators
DOI: 10.17632/pgd9mpzkmc
title: Audit of Logical Security Controls

description: Logical controls encompass user authentication, authorization, session management, segregation of duties (SoD), and log monitoring capabilities. Weaknesses in these areas expose payroll data to unauthorized changes, privilege abuse, and potential fraud.
Students will operate in a controlled environment emulating FinGroup’s production payroll system. They will extract user entitlement listings, correlate them with HR records to detect orphan accounts or over-provisioned users, and test SoD conflicts such as users having both payroll data entry and approval rights. System logs will be collected, parsed, and analyzed to identify suspicious patterns (e.g., after-hours logins, repeated failed authentications, privilege escalations).
The ultimate goal is to validate whether FinGroup’s logical access management processes comply with governance frameworks like COBIT DSS05 and ISO/IEC 27001 Annex A.9 (Access Control), and to generate actionable remediation recommendations.
DOI: 10.17632/pgd9mpzkmc.1
title: Audit of Logical Security Controls

description: Logical controls encompass user authentication, authorization, session management, segregation of duties (SoD), and log monitoring capabilities. Weaknesses in these areas expose payroll data to unauthorized changes, privilege abuse, and potential fraud.
Students will operate in a controlled environment emulating FinGroup’s production payroll system. They will extract user entitlement listings, correlate them with HR records to detect orphan accounts or over-provisioned users, and test SoD conflicts such as users having both payroll data entry and approval rights. System logs will be collected, parsed, and analyzed to identify suspicious patterns (e.g., after-hours logins, repeated failed authentications, privilege escalations).
The ultimate goal is to validate whether FinGroup’s logical access management processes comply with governance frameworks like COBIT DSS05 and ISO/IEC 27001 Annex A.9 (Access Control), and to generate actionable remediation recommendations.