cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/l4b-tk4-drx
title: Actinopterygii

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yng-w4a-xk2
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3pj-b2z-lvb
title: Juglans L.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rn1-wn2-h05
title: Juglans L.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vx1-z8k-992
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9jk-0tp-5af
title: Elephantidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m34-q54-pn6
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/30m-e6t-x6h
title: Ursus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/776-cv6-ldc
title: Artiodactyla Owen, 1848

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/24q-wbl-db5
title: †Cheiloporina scaldisiensis Lagaaij, 1952

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kne-694-nqa
title: Rodentia Bowdich, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8lf-p62-kzl
title: Echinoidea Schumacher, 1817

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/keh-k8a-qch
title: Hydrochoerus hydrochaeris (Linnaeus, 1766)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fzv-0pz-q79
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/llf-l0m-nw9
title: Perissodactyla Owen, 1848

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/trt-swe-lfg
title: Ursus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jsa-hcq-d24
title: Elephas Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yp5-3ht-rwq
title: Elephantidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3k3-pb2-l6g
title: Elephantidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/778-y2j-2a8
title: Felidae Fischer de Waldheim, 1817

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dsc-hlb-w4s
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x9c-5gd-mxt
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.ffmvqc
title: Occurrence Download

description: A dataset containing 261 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Canada",
 "Country is Canada"
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Cephalanthus L.)",
 "Geometry POLYGON((-74.57697167911726 45.74414072437318,-74.57697167911726 45.306317639759385,-72.97991577644449 45.306317639759385,-72.97991577644449 45.74414072437318,-74.57697167911726 45.74414072437318))"
 ]
 }
 ]
}

 The dataset includes 261 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007129-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2f26t
title: Occurrence Download

description: A dataset containing 7081 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macrosiphum euphorbiae (Thomas, 1878)"
 ]
}

 The dataset includes 7081 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013677-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38ybpz
title: Occurrence Download

description: A dataset containing 5535 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fish of Ukraine in poaching gears"
 ]
}

 The dataset includes 5535 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006217-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.26964.26245
title: group of ticks
DOI: 10.15468/dl.jhdey2
title: Occurrence Download

description: A dataset containing 105539 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ursus",
 "Year 2005-2025"
 ]
}

 The dataset includes 105539 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006202-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25381/cput.30646898
title: The influence of online ordering systems on Cape Town Restaurants

description: During the COVID-19 outbreak in 2020, there was a noticeable shift towards digital transformation and increased reliance on ICT-based business solutions. This phenomenon was observed in all economic sectors on a global scale when the lockdown measures were imposed by governments worldwide to halt the spread of COVID-19. Considering this, the reliance of many South African restaurants on third-party delivery platforms like Mr. D, Bolt Food and Uber Eats increased and became imperative to ensure the sustainability of their economic activity, especially considering the closure of numerous restaurants that lacked the necessary digital capacity. Owing to the digital capacity of these food delivery platforms, they facilitated seamless communication between restaurants and customers by providing online ordering systems (OOSs) and food delivery services (FDSs) for restaurant businesses. The collaboration of restaurants with third-party digital platforms had a profound impact on the restaurant industry during the pandemic. Although online ordering systems (OOSs) are becoming more common among restaurants to enhance operational efficiency, the long-term impacts of outsourcing online ordering systems to third-party service providers on the financial, operational and strategic performance of small and independent restaurants remain underexplored. Hence, the main objective of the study was to investigate the influence of online ordering systems and to determine the extent to which restaurants owners/managers are dependent on third-party delivery platforms for (OOS) and (FDS) in a COVID-19 free society. In addition, the study sought to ensure the continued implementation of these systems in restaurants through the exploration of risk management issues associated with the use of third-party online ordering systems. To achieve this task, quantitative research approach was adopted. A total of 133 questionnaires were distributed to restaurant owners/managers operating within the Cape Peninsula and 124 were returned. Four of the returned questionnaires were excluded due to incomplete information, which resulted in an overall response rate of 90%. Non- probability sampling techniques were employed to draw a sample of restaurants that were conveniently reachable. As the response was calculated at the above rate, data from 120 restaurants in Cape Town were analysed, specifically targeting restaurants in the suburbs rather than townships owing to security concerns and the limited presence of restaurants in township areas.
DOI: 10.25381/cput.30646898.v1
title: The influence of online ordering systems on Cape Town Restaurants

description: During the COVID-19 outbreak in 2020, there was a noticeable shift towards digital transformation and increased reliance on ICT-based business solutions. This phenomenon was observed in all economic sectors on a global scale when the lockdown measures were imposed by governments worldwide to halt the spread of COVID-19. Considering this, the reliance of many South African restaurants on third-party delivery platforms like Mr. D, Bolt Food and Uber Eats increased and became imperative to ensure the sustainability of their economic activity, especially considering the closure of numerous restaurants that lacked the necessary digital capacity. Owing to the digital capacity of these food delivery platforms, they facilitated seamless communication between restaurants and customers by providing online ordering systems (OOSs) and food delivery services (FDSs) for restaurant businesses. The collaboration of restaurants with third-party digital platforms had a profound impact on the restaurant industry during the pandemic. Although online ordering systems (OOSs) are becoming more common among restaurants to enhance operational efficiency, the long-term impacts of outsourcing online ordering systems to third-party service providers on the financial, operational and strategic performance of small and independent restaurants remain underexplored. Hence, the main objective of the study was to investigate the influence of online ordering systems and to determine the extent to which restaurants owners/managers are dependent on third-party delivery platforms for (OOS) and (FDS) in a COVID-19 free society. In addition, the study sought to ensure the continued implementation of these systems in restaurants through the exploration of risk management issues associated with the use of third-party online ordering systems. To achieve this task, quantitative research approach was adopted. A total of 133 questionnaires were distributed to restaurant owners/managers operating within the Cape Peninsula and 124 were returned. Four of the returned questionnaires were excluded due to incomplete information, which resulted in an overall response rate of 90%. Non- probability sampling techniques were employed to draw a sample of restaurants that were conveniently reachable. As the response was calculated at the above rate, data from 120 restaurants in Cape Town were analysed, specifically targeting restaurants in the suburbs rather than townships owing to security concerns and the limited presence of restaurants in township areas.
DOI: 10.3886/e223621
title: Code for: MICRO VS MACRO LABOR SUPPLY ELASTICITIES: THE ROLE OF DYNAMIC RETURNS TO EFFORT

description: We investigate long-run earnings responses to taxes in the presence of dynamic returns to effort. First, we develop a theoretical model of earnings determination with dynamic returns to effort. In this model, earnings responses are delayed and mediated by job switches. Second, using administrative data from Denmark, we verify our model’s predictions about earnings and hours-worked patterns over the lifecycle. Third, we provide a quasi-experimental analysis of long-run earnings elasticities. Informed by our model, the empirical strategy exploits variation among job switchers. We find that the long-run elasticity is around 0.5, considerably larger than the short-run elasticity of roughly 0.2.<br>
description: Full population
description: Danish population.
DOI: 10.3886/e223621v1
title: Code for: MICRO VS MACRO LABOR SUPPLY ELASTICITIES: THE ROLE OF DYNAMIC RETURNS TO EFFORT

description: We investigate long-run earnings responses to taxes in the presence of dynamic returns to effort. First, we develop a theoretical model of earnings determination with dynamic returns to effort. In this model, earnings responses are delayed and mediated by job switches. Second, using administrative data from Denmark, we verify our model’s predictions about earnings and hours-worked patterns over the lifecycle. Third, we provide a quasi-experimental analysis of long-run earnings elasticities. Informed by our model, the empirical strategy exploits variation among job switchers. We find that the long-run elasticity is around 0.5, considerably larger than the short-run elasticity of roughly 0.2.<br>
description: Full population
description: Danish population.
DOI: 10.25381/cput.30617585
title: The effectiveness of utilising merchandise planning as a change management strategy in the clothing retail industry in Cape Town

description: The purpose of this research was to identify how merchandise planning could be used effectively to manage the ever-changing clothing retail industry in a selected fashion retail store in Cape Town. A clothing retail company was purposefully selected, and 12 participants involved in management were also purposively selected. A qualitative approach was used, and interviews were conducted on the selected participants. The study revealed the major challenges faced by the clothing retail company which other studies have also documented. This study also revealed that merchandise planning is being used as a strategy to manage demand effectively. Throughout this study, there has been examination and, where possible, explanation of the intricate relationship between merchandise planning and its ability to adapt to dynamic shifts in supply chains, global market trends, and local external factors, such as load shedding and the over-dependence on non-local manufacturing.
DOI: 10.25381/cput.30617585.v1
title: The effectiveness of utilising merchandise planning as a change management strategy in the clothing retail industry in Cape Town

description: The purpose of this research was to identify how merchandise planning could be used effectively to manage the ever-changing clothing retail industry in a selected fashion retail store in Cape Town. A clothing retail company was purposefully selected, and 12 participants involved in management were also purposively selected. A qualitative approach was used, and interviews were conducted on the selected participants. The study revealed the major challenges faced by the clothing retail company which other studies have also documented. This study also revealed that merchandise planning is being used as a strategy to manage demand effectively. Throughout this study, there has been examination and, where possible, explanation of the intricate relationship between merchandise planning and its ability to adapt to dynamic shifts in supply chains, global market trends, and local external factors, such as load shedding and the over-dependence on non-local manufacturing.
DOI: 10.3886/e240576
title: HIFLD Open Public Refrigerated Warehouses 1

description: GCCA Warehouse is the third-party temperature-controlled warehousing industry’s association. Founded in 1891 as the American Warehousemen’s Association in 1891; to National Association of Refrigerated Warehouses independently in 1961; to International Association of Warehouses in 1972; and to Global Cold Chain Alliance in 2023 to present. The Association as we know it today, was originally established when conventional warehousemen took on the demands of storing perishable food and soon realized the increased challenge and complexity of operating temperature-controlled storage facilitiesToday, the GCCA Warehouse sector promotes best practices in the temperature-controlled warehousing and logistics industry through research, industry benchmarking, networking, and education. GCCA Warehouse also advocates for members in legislative and regulatory arenas. All active members of GCCA are also members and beneficiaries of the work of the Global Cold Chain Foundation. (https://www.gcca.org/about/gcca-warehouse/, 11/27/2024).<br>
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.3886/e240576v1
title: HIFLD Open Public Refrigerated Warehouses 1

description: GCCA Warehouse is the third-party temperature-controlled warehousing industry’s association. Founded in 1891 as the American Warehousemen’s Association in 1891; to National Association of Refrigerated Warehouses independently in 1961; to International Association of Warehouses in 1972; and to Global Cold Chain Alliance in 2023 to present. The Association as we know it today, was originally established when conventional warehousemen took on the demands of storing perishable food and soon realized the increased challenge and complexity of operating temperature-controlled storage facilitiesToday, the GCCA Warehouse sector promotes best practices in the temperature-controlled warehousing and logistics industry through research, industry benchmarking, networking, and education. GCCA Warehouse also advocates for members in legislative and regulatory arenas. All active members of GCCA are also members and beneficiaries of the work of the Global Cold Chain Foundation. (https://www.gcca.org/about/gcca-warehouse/, 11/27/2024).<br>
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.17605/osf.io/xs2pu
title: Iris 128x: open-source 128 channel headstages for neural stimulation and recording

description: This project contains the raw data files and links to the GitHub with all hardware design files.
DOI: 10.5281/zenodo.17702758
title: Benedek76 - Synthetic Training Dataset for Demonstration

description: This dataset contains synthetic, artificially generated data created exclusively for training, demonstration, and workflow testing. No real laboratory or personal data are included.
DOI: 10.5281/zenodo.17702572
title: Benedek76 - Synthetic Training Dataset for Demonstration

description: This dataset contains synthetic, artificially generated data created exclusively for training, demonstration, and workflow testing. No real laboratory or personal data are included.
DOI: 10.25381/cput.28524044.v1
title: Effect of blockchain technology on payment services: A case of a South African commercial bank

description: This study investigates the challenges and opportunities of adopting blockchain technology in payment services within a South African Commercial Bank, motivated by the problem that, despite blockchain’s potential, its integration into traditional banking systems faces significant obstacles. The research seeks to identify the primary barriers hindering blockchain adoption, assess its potential impact, and evaluate the advantages it can bring to payment services. Employing an interpretive qualitative approach, data was collected through semi-structured interviews with sixteen subject matter experts at tactical and operational levels, and thematic analysis was used to interpret findings. Thematic analysis revealed significant challenges, including regulatory compliance, data privacy, technology integration, resource requirements, and a shortage of in-house blockchain expertise. The research results underscore blockchain’s potential to streamline payment processes, reduce transaction costs, enhance security, and improve operational efficiency, particularly in cross-border transactions and real-time settlements. The study finds that while blockchain technology can advance payment services, challenges related to legacy systems, regulatory ambiguity, and high initial costs hinder its seamless implementation. Importantly, the study highlights the need for strategic collaborations, investment in employee upskilling, and the establishment of clearer regulatory frameworks to ensure compliance and facilitate blockchain’s full potential in the financial sector. The study’s recommendations include establishing stronger regulatory frameworks, prioritising collaborative efforts to enhance data privacy, investing in technical upskilling, and exploring sustainable integration solutions. While the findings are specific to a single bank, the study provides a strategic framework for broader banking institutions seeking to leverage blockchain technology to enhance operational efficiency, competitiveness, and customer satisfaction in a rapidly digitising financial environment.These findings have implications for financial institutions in similar regulatory environments, suggesting that a carefully structured approach to blockchain adoption could yield competitive advantages, reduced operational costs, and improved customer satisfaction. The study contributes to ongoing discussions on blockchain’s role in the digital transformation of banking, offering a strategic framework for banks aiming to integrate distributed ledger technology within existing infrastructures while navigating the complexities of regulatory compliance and technical integration
DOI: 10.25381/cput.28524044
title: Effect of blockchain technology on payment services: A case of a South African commercial bank

description: This study investigates the challenges and opportunities of adopting blockchain technology in payment services within a South African Commercial Bank, motivated by the problem that, despite blockchain’s potential, its integration into traditional banking systems faces significant obstacles. The research seeks to identify the primary barriers hindering blockchain adoption, assess its potential impact, and evaluate the advantages it can bring to payment services. Employing an interpretive qualitative approach, data was collected through semi-structured interviews with sixteen subject matter experts at tactical and operational levels, and thematic analysis was used to interpret findings. Thematic analysis revealed significant challenges, including regulatory compliance, data privacy, technology integration, resource requirements, and a shortage of in-house blockchain expertise. The research results underscore blockchain’s potential to streamline payment processes, reduce transaction costs, enhance security, and improve operational efficiency, particularly in cross-border transactions and real-time settlements. The study finds that while blockchain technology can advance payment services, challenges related to legacy systems, regulatory ambiguity, and high initial costs hinder its seamless implementation. Importantly, the study highlights the need for strategic collaborations, investment in employee upskilling, and the establishment of clearer regulatory frameworks to ensure compliance and facilitate blockchain’s full potential in the financial sector. The study’s recommendations include establishing stronger regulatory frameworks, prioritising collaborative efforts to enhance data privacy, investing in technical upskilling, and exploring sustainable integration solutions. While the findings are specific to a single bank, the study provides a strategic framework for broader banking institutions seeking to leverage blockchain technology to enhance operational efficiency, competitiveness, and customer satisfaction in a rapidly digitising financial environment.These findings have implications for financial institutions in similar regulatory environments, suggesting that a carefully structured approach to blockchain adoption could yield competitive advantages, reduced operational costs, and improved customer satisfaction. The study contributes to ongoing discussions on blockchain’s role in the digital transformation of banking, offering a strategic framework for banks aiming to integrate distributed ledger technology within existing infrastructures while navigating the complexities of regulatory compliance and technical integration
DOI: 10.5281/zenodo.17291390
title: UncensoredLLMs
DOI: 10.5281/zenodo.17291389
title: UncensoredLLMs