cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25921/mv04-3j03
title: Dissolved inorganic carbon, total alkalinity, pH on total scale, and other variables collected from discrete samples and profile observations during the R/V F. G. Walton Smith cruise WS22072 (EXPOCODE 33WA20220313) in the North Atlantic Ocean, Gulf of America from 2022-03-13 to 2022-03-19 (NCEI Accession 0283334)

description: Increasing amounts of atmospheric carbon dioxide from human industrial activities are causing changes in global ocean carbon chemistry resulting in a reduction in pH, a process termed ocean acidification. In support of the coastal monitoring and research objectives of the NOAA Ocean Acidification Program (OAP), the South Florida Project Cruises (SFP) are utilized to collect water samples to measure surface water inorganic carbon and hydrographic parameters including nutrients. Samples are collected from 34 stations on a bi-monthly basis to monitor the outflow of the Shark River Slough (SRS) and red tide in the southwestern Gulf of Mexico. Water samples are sent to and analyzed by scientists at the Atlantic Oceanographic & Meteorological Laboratory (AOML) for dissolved inorganic carbon, pH, total alkalinity and nutrient concentrations. These data are used to observe the effects of the SRS on acidification in the coastal ocean.
DOI: 10.15468/dl.k3eheh
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Exochomus quadripustulatus",
 "BasisOfRecord is Specimen",
 "LifeStage is Adult",
 "MediaType is Image"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005650-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17606891
title: БЎЛАЖАК БИОЛОГИЯ ЎҚИТУВЧИЛАРИДА КАСБИЙ МАЪСУЛИЯТНИ ШАКЛЛАНТИРИШНИНГ ПЕДАГОГИК – ПСИХОЛОГИК ХУСУСИЯТЛАРИ
DOI: 10.5281/zenodo.17606892
title: БЎЛАЖАК БИОЛОГИЯ ЎҚИТУВЧИЛАРИДА КАСБИЙ МАЪСУЛИЯТНИ ШАКЛЛАНТИРИШНИНГ ПЕДАГОГИК – ПСИХОЛОГИК ХУСУСИЯТЛАРИ
DOI: 10.25381/cput.30604352
title: Experiences of Diagnostic Radiography Middle Managers working at a Private Radiology Practice during the COVID-19 pandemic

description: The COVID-19 pandemic affected hospitals worldwide, including diagnostic radiology departments. Operational management of radiography services in diagnostic radiology departments had to be adjusted to ensure the safe delivery of services to patients and to protect employees. Diagnostic radiography middle managers are responsible for the strategic planning and implementation of radiography services, providing leadership and collaborating with multidisciplinary teams to ensure that services align with the goals and objectives of the organisation. After the World Health Organisation declared the onset of the COVID-19 pandemic in March 2020, the diagnostic radiography department in this study, like other imaging departments in hospitals, had to adapt to the new public health guidelines and service delivery protocols. This study aimed to explore and describe the experiences of diagnostic radiography middle managers working at a private radiology practice during the COVID-19 pandemic. Semi-structured interviews with diagnostic radiography middle managers working at various branches of a private radiology practice were conducted using the Zoom Communications Inc. online platform. Permission from the managing committee of the radiology practice was sought and obtained before data collection began. Participants voluntarily consented to participate. Additionally, ethical principles such as confidentiality and anonymity were maintained. Data was analysed using thematic analysis, with data being managed in compliance with the University’s established data management protocols.<br>
DOI: 10.25381/cput.30604352.v1
title: Experiences of Diagnostic Radiography Middle Managers working at a Private Radiology Practice during the COVID-19 pandemic

description: The COVID-19 pandemic affected hospitals worldwide, including diagnostic radiology departments. Operational management of radiography services in diagnostic radiology departments had to be adjusted to ensure the safe delivery of services to patients and to protect employees. Diagnostic radiography middle managers are responsible for the strategic planning and implementation of radiography services, providing leadership and collaborating with multidisciplinary teams to ensure that services align with the goals and objectives of the organisation. After the World Health Organisation declared the onset of the COVID-19 pandemic in March 2020, the diagnostic radiography department in this study, like other imaging departments in hospitals, had to adapt to the new public health guidelines and service delivery protocols. This study aimed to explore and describe the experiences of diagnostic radiography middle managers working at a private radiology practice during the COVID-19 pandemic. Semi-structured interviews with diagnostic radiography middle managers working at various branches of a private radiology practice were conducted using the Zoom Communications Inc. online platform. Permission from the managing committee of the radiology practice was sought and obtained before data collection began. Participants voluntarily consented to participate. Additionally, ethical principles such as confidentiality and anonymity were maintained. Data was analysed using thematic analysis, with data being managed in compliance with the University’s established data management protocols.<br>
DOI: 10.15468/dl.jehnfp
title: Occurrence Download

description: A dataset containing 349341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vespa velutina"
 ]
}

 The dataset includes 349341 records from 829 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032726-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rb44vf
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Thespesia acutiloba"
 ]
}

 The dataset includes 125 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032733-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25381/cput.30587243.v1
title: Leadership Framework for enhancing productivity in construction through workforce diversity and inclusion in the Western Cape Province of South Africa

description: Data set for research titled: Leadership Framework for enhancing productivity in construction through workforce diversity and inclusion in the Western Cape Province of South Africa.<b> </b>The dataset includes SPSS data, interviews, interview guide, survey questionnaires, ethical clearance certificate, Data collection authorisation letter, and ethical clearance application.
DOI: 10.25381/cput.30587243
title: Leadership Framework for enhancing productivity in construction through workforce diversity and inclusion in the Western Cape Province of South Africa

description: Data set for research titled: Leadership Framework for enhancing productivity in construction through workforce diversity and inclusion in the Western Cape Province of South Africa.<b> </b>The dataset includes SPSS data, interviews, interview guide, survey questionnaires, ethical clearance certificate, Data collection authorisation letter, and ethical clearance application.
DOI: 10.15468/dl.ptqgtx
title: Occurrence Download

description: A dataset containing 23250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Solenopsis invicta"
 ]
}

 The dataset includes 23250 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032735-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/jptjso
title: Bangla Sign in Motion Dataset

description: Sign language is one of the oldest and most natural forms of language for communication. Individuals who have hearing impairments and/or are nonverbal use sign language as a means of communication. Vision-based sign language recognition is designed to facilitate communication for the deaf, but the available Bangla sign language datasets primarily focus on characters and numbers. This article introduces a valuable resource comprising numerous video recordings of Bangla sign language (BDSL) words, including 133 words performed by 25 signers. Bangla Sign in Motion consists of 33250 videos with 133 labels, each containing 250 videos. Data collection involved capturing videos from 25 different adults, each with unique characteristics and contexts. Various strategies were employed during data preparation to minimise noise. These videos capture individuals using Bengali sign language to communicate through gestures, facial expressions, and body movements. This dataset will be openly accessible to researchers, particularly those involved in vision-based sign language recognition (SLR) and hand gesture recognition (HGR). To the authors knowledge, it is by far the first public BDSL dataset to facilitate word-level sign recognition research.
DOI: 10.57903/uj/g1cxe2
title: Survey of Manufacturing Firms from the Dolnośląskie, Ślaskie, and Podkarpackie Region on the Adoption of Industry 4.0 Solutions
title: Badania przedsiębiorstw przemysłowych z województw dolnośląskiego, śląskiego i podkarpackiego dotyczące absorbcji rozwiązań zaliczanych do Przemysłu 4.0

description: Survey on the sample of 240 Manufacturing Firms from the Dolnośląskie, Ślaskie, and Podkarpackie Region on the Adoption of Industry 4.0 Solutions.
DOI: 10.15468/dl.c3x2v9
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Nymphaea caatingae"
 ]
}

 The dataset includes 40 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032736-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25381/cput.29664701
title: The impact of internet streaming technologies on the television broadcasting industry in South Africa.

description: This study examines the disruptive impact of internet streaming technologies, particularly over-the-top (OTT) services such as Netflix, on South Africa's traditional television broadcasting industry, exemplified by DStv. It examines how advancements in cloud computing, AI personalisation algorithms, adaptive bitrate streaming, content delivery networks (CDNs), and high-speed networks (4G/5G) have shifted consumer preferences toward flexible, on-demand viewing, challenging rigid scheduled programming and revenue models of legacy broadcasters. The research highlights negative effects on traditional broadcasters, including subscriber loss, revenue shifts to targeted advertising, and cultural dilution, while emphasising the need for adaptive strategies, hybrid regulations, and technological integration to maintain competitiveness.This qualitative study used the inductive approach using a case study design. The research adopted the Technology Acceptance Model (TAM) to analyse user perceptions of usefulness and ease of use. Data were collected through semi-structured interviews with Netflix and DStv subscribers in Cape Town, supplemented by document analysis of literature, newspaper articles, and institutional reports. Thematic analysis was employed to identify patterns in transcripts, focusing on factors influencing OTT adoption, such as affordability, convenience, and quality of experience (QoE). Ethical considerations included informed consent and confidentiality, with the study limited to urban perspectives and emphasising the need for ongoing research amid rapid technological evolution.
DOI: 10.25381/cput.29664701.v1
title: The impact of internet streaming technologies on the television broadcasting industry in South Africa.

description: This study examines the disruptive impact of internet streaming technologies, particularly over-the-top (OTT) services such as Netflix, on South Africa's traditional television broadcasting industry, exemplified by DStv. It examines how advancements in cloud computing, AI personalisation algorithms, adaptive bitrate streaming, content delivery networks (CDNs), and high-speed networks (4G/5G) have shifted consumer preferences toward flexible, on-demand viewing, challenging rigid scheduled programming and revenue models of legacy broadcasters. The research highlights negative effects on traditional broadcasters, including subscriber loss, revenue shifts to targeted advertising, and cultural dilution, while emphasising the need for adaptive strategies, hybrid regulations, and technological integration to maintain competitiveness.This qualitative study used the inductive approach using a case study design. The research adopted the Technology Acceptance Model (TAM) to analyse user perceptions of usefulness and ease of use. Data were collected through semi-structured interviews with Netflix and DStv subscribers in Cape Town, supplemented by document analysis of literature, newspaper articles, and institutional reports. Thematic analysis was employed to identify patterns in transcripts, focusing on factors influencing OTT adoption, such as affordability, convenience, and quality of experience (QoE). Ethical considerations included informed consent and confidentiality, with the study limited to urban perspectives and emphasising the need for ongoing research amid rapid technological evolution.
DOI: 10.25381/cput.30524096
title: Enhancing Customer Service Training with an AI Technology Chatbot

description: Ethical Clearance Reference: 216153972/2024/2<br>This dataset presents the thematic analysis of the qualitative methodology to identify the factors affecting the diffusion of AI technologies for the purposes of customer service training improvement. The data were collected using semi-structured interviews with participants from a purposive sample. This was then transcribed and anonymised to aid the thematic analysis for the purpose of the study. Key themes were highlighted in the data and revealed that AI-enabled chatbots improved information accessibility, offered personalised learning opportunities, facilitated self-paced and adaptive learning, provided consistency in responses, enhanced operational efficiency among customer service agents, and contributed to teamwork and engagement. Findings suggest that the AI tool is most effective when used in conjunction with human facilitation. The dataset highlights both the benefits and limitations of using AI-enabled tools in training environments. Challenges included the limited content depth of the responses and technical infrastructure constraints that questioned organisational readiness and strategic direction. The dataset was used to derive a framework to support the effective implementation and integration of AI tools to enhance customer service training.
DOI: 10.25381/cput.30524096.v1
title: Enhancing Customer Service Training with an AI Technology Chatbot

description: Ethical Clearance Reference: 216153972/2024/2<br>This dataset presents the thematic analysis of the qualitative methodology to identify the factors affecting the diffusion of AI technologies for the purposes of customer service training improvement. The data were collected using semi-structured interviews with participants from a purposive sample. This was then transcribed and anonymised to aid the thematic analysis for the purpose of the study. Key themes were highlighted in the data and revealed that AI-enabled chatbots improved information accessibility, offered personalised learning opportunities, facilitated self-paced and adaptive learning, provided consistency in responses, enhanced operational efficiency among customer service agents, and contributed to teamwork and engagement. Findings suggest that the AI tool is most effective when used in conjunction with human facilitation. The dataset highlights both the benefits and limitations of using AI-enabled tools in training environments. Challenges included the limited content depth of the responses and technical infrastructure constraints that questioned organisational readiness and strategic direction. The dataset was used to derive a framework to support the effective implementation and integration of AI tools to enhance customer service training.
DOI: 10.57903/uj/t2k4ty
title: A Nationwide Survey of Digital Technology Providers for Industry 4.0 in Poland
title: Ogólnopolskie badanie dostawców technologii cyfrowych dla Przemysłu 4.0

description: The survey on the Sample of companies - Providers of Technologies for Industry 4.0.
DOI: 10.15468/dl.n74kq8
title: Occurrence Download

description: A dataset containing 31639004 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is Africa",
 "Country is South Africa",
 "DatasetKey is one of (EOD – eBird Observation Dataset, Southern African Bird Atlas Project 2, SAFRING: Historical Bird Ringing Records (2005-2009), iNaturalist Research-grade Observations)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "Year 1995-2025"
 ]
}

 The dataset includes 31639004 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032709-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25381/cput.30480218
title: Dynamic separation of a selection of heavy metals using a dithizone-impregnated polymer resin

description: This investigation focuses on optimising and separating metal ions using a dynamic (column) solid-phase extraction method. In this study, a polymer resin, Amberchrom CG-300, was successfully impregnated with dithizone. The investigation primarily focused on cadmium and nickel metal ions. Chelation was used as an adsorption method to optimise the separation of these metal ions. The study involved the selection and concentration of the eluent, flow rate, and column height of the resin to determine the optimal conditions for separating a copper-nickel solution. The recovery of these metal ions was determined using inductively coupled plasma and atomic absorption spectroscopy. This research was inspired by a recommendation from Dr Andre Spies in his 2020 doctoral dissertation.All experimental work was carried out at a pH of 8. Hydrochloric acid was determined to be the most suitable eluent for both metal ion investigations, with a concentration of 0.1M for cadmium and 0.4M for nickel, resulting in percentage recoveries of 41.82% and 84.61%, respectively.Flow rate experiments were conducted within the range of 4–7 mL/min. It was observed that a flow rate of 7 mL/min resulted in the highest recovery rate during the cadmium study, reaching 24.15%. In the nickel investigation, a flow rate of 6 mL/min yielded a recovery rate of 73.88%. In the investigation of column height, it was found that the range studied did not significantly affect the elution of cadmium ions. The highest recovery was achieved with 0.4g of resin for both studies, resulting in an 18.18% recovery of cadmium ions and 95.30% for nickel ions. This study was done within 0.2g–0.5g range.Copper and nickel metal ions in a binary solution were separated successfully at a pH of 8, resulting in a 94.40% recovery of nickel ions and a mere 39.72% recovery of copper ions. For this experiment 0.4M hydrochloric acid was used as an eluent at a flow rate of 6mL/min.
DOI: 10.25381/cput.30480218.v1
title: Dynamic separation of a selection of heavy metals using a dithizone-impregnated polymer resin

description: This investigation focuses on optimising and separating metal ions using a dynamic (column) solid-phase extraction method. In this study, a polymer resin, Amberchrom CG-300, was successfully impregnated with dithizone. The investigation primarily focused on cadmium and nickel metal ions. Chelation was used as an adsorption method to optimise the separation of these metal ions. The study involved the selection and concentration of the eluent, flow rate, and column height of the resin to determine the optimal conditions for separating a copper-nickel solution. The recovery of these metal ions was determined using inductively coupled plasma and atomic absorption spectroscopy. This research was inspired by a recommendation from Dr Andre Spies in his 2020 doctoral dissertation.All experimental work was carried out at a pH of 8. Hydrochloric acid was determined to be the most suitable eluent for both metal ion investigations, with a concentration of 0.1M for cadmium and 0.4M for nickel, resulting in percentage recoveries of 41.82% and 84.61%, respectively.Flow rate experiments were conducted within the range of 4–7 mL/min. It was observed that a flow rate of 7 mL/min resulted in the highest recovery rate during the cadmium study, reaching 24.15%. In the nickel investigation, a flow rate of 6 mL/min yielded a recovery rate of 73.88%. In the investigation of column height, it was found that the range studied did not significantly affect the elution of cadmium ions. The highest recovery was achieved with 0.4g of resin for both studies, resulting in an 18.18% recovery of cadmium ions and 95.30% for nickel ions. This study was done within 0.2g–0.5g range.Copper and nickel metal ions in a binary solution were separated successfully at a pH of 8, resulting in a 94.40% recovery of nickel ions and a mere 39.72% recovery of copper ions. For this experiment 0.4M hydrochloric acid was used as an eluent at a flow rate of 6mL/min.
DOI: 10.5281/zenodo.17606910
title: THE EFFECT OF INDOLE-3-CARBINOL ON METABOLISM AND THE SAFETY OF ITS LONG-TERM USE IN WOMEN AT RISK
DOI: 10.5281/zenodo.17606909
title: THE EFFECT OF INDOLE-3-CARBINOL ON METABOLISM AND THE SAFETY OF ITS LONG-TERM USE IN WOMEN AT RISK
DOI: 10.25381/cput.30541487
title: Energy management for grid-connected hybrid offshore wind-tidal storage power systems.

description: This dataset supports research on the design, simulation, and optimisation of a hybrid offshore wind–tidal energy system integrated with a battery storage unit for grid-connected and off-grid applications in coastal South Africa. It contains meteorological, oceanographic, and load-demand data used in HOMER Pro and MATLAB/Simulink models to evaluate system performance, costs, and energy management. The dataset enables replication of simulations and further research in renewable hybrid system design and control optimisationStudy Area West Bank–East London, Buffalo City Metropolitan Municipality, Eastern Cape Province, South Africa Coordinates: 33°00′S, 27°55′E<br>