cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hxf264tb9t.2
title: Survey dataset of the stakeholders involved in the Medical device Innovation System in South Africa

description: This dataset comprises survey data collected from three key stakeholder groups within the medical device innovation system (IS) in South Africa: 1) academia/research organizations, 2) enterprises, and 3) government bodies. Three surveys were designed for the three stakeholder groups and they were designed using innovation indicators derived from the Technology Innovation System (TIS) Functions framework to identify challenges and opportunities within the medical device IS. To ensure validity and relevance ahead of distributing the survey, the survey questions were refined through piloting them and conducting semi-structured interviews with experts in the field, including seven academics, four representatives from enterprises, and two government officials. Stakeholders from the medical device IS were then invited to complete the survey online, with responses collected and stored anonymously. The response rates were as follows: Government: 36.1%; Enterprise: 27.8%; Academia: 32.8%. This dataset offers valuable insights for stakeholders in the medical device IS who are interested in identifying existing gaps and exploring opportunities to strengthen the innovation system.
DOI: 10.7807/immo:red:hk:v1
title: RWI-GEO-RED: RWI Real Estate Data- houses for sale
title: RWI-GEO-RED: RWI Real Estate Data- houses for sale
title: Immobiliendaten - Hauskauf

description: ImmobilienScout24 ist die größte Internetplattform für Immobilien in Deutschland. Auf der Internetplattform werden sowohl private als auch gewerbliche Immobilien angeboten. Grundlage des Datensatzes sind Wohnimmobilien zum Kauf und zur Miete, keine Gewerbeimmobilien. Zudem beinhaltet der zugrunde liegende Datensatz keine Objekte die zeitweise deaktiviert wurden (dies geschieht wenn ein möglicher Käufer gefunden wurde, der Vertrag aber noch nicht unterschrieben ist), da diese Angebote möglichen Interessenten nicht zur Verfügung stehen.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. Furthermore, the data does not contain properties which have been deactivated temporarily (e.g. when there is a potential buyer, but the contract has not been signed yet), since these properties may not be available for prospective customers.
description: Self-administered questionnaire: Web-based
description: seller and landlords give information on website
description: Alle Inserate auf der Internetplattform
description: all advertisements on the real estate platform
description: Vollerhebung
DOI: 10.15468/dl.nmk9dr
title: Occurrence Download

description: A dataset containing 346 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "DatasetKey is FBIP:SAEON: Historical Research Survey Database (1897-1949)",
 "TaxonKey is Sardinops sagax"
 ]
}

 The dataset includes 346 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005802-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5286/isis.e.rb2510395-1
title: Apoptosis regulating Bcl-2 protein family at the mitochondrial membrane: Its function in neurodegeneration

description: Programmed cell death (apoptosis) is essential for human life. Its intrinsic pathway is regulated by opposing members of the Bcl-2 protein family who tightly controls mitochondrial outer membrane (MOM) pore formation and release of apoptotic factors triggering cell death. Escape of apoptosis by blocking cell killing Bax (a Bcl-2 member) protein induced MOM perforation is an important hallmark of many cancers. Here, our main hypothesis is that in neurodegenerative disorders premature neuronal death occurs through blocking cell-protecting Bcl-2 protein (and relatives) by misfolded amyloidogenic proteins causing the release of MOM pore forming Bax from the protective, membrane embedded Bcl-2/Bax complex. Here, we seek to prove our hypothesis that the amyloidogenic apoSOD1 protein, a key culprit in the fatal motor neuron disease amyotrophic lateral sclerosis, ALS (3), can inhibit Bcl-2 directly and/or dissociate the Bcl-2/Bax complex at the MOM with the consequence that Bax gets released and causes neuronal cell death via MOM perforation. This is a potential key mechanism in ALS and other neurodegenerative disorders that is hitherto unexplored. Therefore, we will use NR to provide a molecular and kinetic insight into the interference of apoSOD1 in the recognition of Bcl-2 and sequestering of Bax from its Bcl-2 complex at the membrane level.
DOI: 10.5281/zenodo.16855475
title: Theoretical Characterization of the Magnetic Properties of Vanadium-doped Ti2C MXenes

description: Data of DFT simulations using VASP (summary_II.zip) and codes of Monte-Carlos simulations (mxenes.f90).
DOI: 10.5281/zenodo.17571790
title: Theoretical Characterization of the Magnetic Properties of Vanadium-doped Ti2C MXenes

description: Data of DFT simulations using VASP (summary_II.zip) and codes of Monte-Carlos simulations (mxenes.f90).
DOI: 10.5286/isis.e.rb2510395
title: Apoptosis regulating Bcl-2 protein family at the mitochondrial membrane: Its function in neurodegeneration

description: Programmed cell death (apoptosis) is essential for human life. Its intrinsic pathway is regulated by opposing members of the Bcl-2 protein family who tightly controls mitochondrial outer membrane (MOM) pore formation and release of apoptotic factors triggering cell death. Escape of apoptosis by blocking cell killing Bax (a Bcl-2 member) protein induced MOM perforation is an important hallmark of many cancers. Here, our main hypothesis is that in neurodegenerative disorders premature neuronal death occurs through blocking cell-protecting Bcl-2 protein (and relatives) by misfolded amyloidogenic proteins causing the release of MOM pore forming Bax from the protective, membrane embedded Bcl-2/Bax complex. Here, we seek to prove our hypothesis that the amyloidogenic apoSOD1 protein, a key culprit in the fatal motor neuron disease amyotrophic lateral sclerosis, ALS (3), can inhibit Bcl-2 directly and/or dissociate the Bcl-2/Bax complex at the MOM with the consequence that Bax gets released and causes neuronal cell death via MOM perforation. This is a potential key mechanism in ALS and other neurodegenerative disorders that is hitherto unexplored. Therefore, we will use NR to provide a molecular and kinetic insight into the interference of apoSOD1 in the recognition of Bcl-2 and sequestering of Bax from its Bcl-2 complex at the membrane level.
DOI: 10.5286/isis.e.rb2520255-1
title: Structural insights into fragrance encapsulation by biosurfactants via SANS

description: With increasing demand for sustainable surfactants, biosurfactants offer a viable alternative to synthetic surfactants in personal care formulations due to their biodegradability, compatibility with bio-ingredients, and surface activity. This proposal aims to investigate the effect of three fragrance molecules; limonene, linalool, and menthol on the micellisation behaviour of three biosurfactants: monorhamnolipids (R1), dirhamnolipids (R2), and surfactin (ST). By using small-angle neutron scattering (SANS), we aim to elucidate structural changes in micelles, such as variations in size, shape induced by the presence of the fragrance molecules. Preliminary diffusion NMR suggests a strong association between fragrances and micelles, yet it still lacks spatial resolution that SANS would traditionally offer.
DOI: 10.17632/26m4wpzxn7
title: Ear-Based Person Identification

description: Can be used for Ear image based person identification
DOI: 10.5286/isis.e.rb2520255
title: Structural insights into fragrance encapsulation by biosurfactants via SANS

description: With increasing demand for sustainable surfactants, biosurfactants offer a viable alternative to synthetic surfactants in personal care formulations due to their biodegradability, compatibility with bio-ingredients, and surface activity. This proposal aims to investigate the effect of three fragrance molecules; limonene, linalool, and menthol on the micellisation behaviour of three biosurfactants: monorhamnolipids (R1), dirhamnolipids (R2), and surfactin (ST). By using small-angle neutron scattering (SANS), we aim to elucidate structural changes in micelles, such as variations in size, shape induced by the presence of the fragrance molecules. Preliminary diffusion NMR suggests a strong association between fragrances and micelles, yet it still lacks spatial resolution that SANS would traditionally offer.
DOI: 10.17632/26m4wpzxn7.1
title: Ear-Based Person Identification

description: Can be used for Ear image based person identification
DOI: 10.17605/osf.io/v7pcq
title: Diversity of mineral coatings on hydrothermal vent gastropods
DOI: 10.15468/dl.utmph4
title: Occurrence Download

description: A dataset containing 15735 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus ramburii, Datura innoxia, Orinus kokonorica, Mosla soochouensis, Vitis davidi, Shorea leprosula, Scyphiphora hydrophylacea, Sicyos pachycarpa, Quercus fabrei, Dorcoceras hygrometricum, Erythranthe lutea, Fragaria mandshurica)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15735 records from 464 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005803-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2tm4pdv5m8
title: Modern carbonate sedimentation in an extreme marine environment: the southeastern Arabian Gulf
DOI: 10.17632/2tm4pdv5m8.1
title: Modern carbonate sedimentation in an extreme marine environment: the southeastern Arabian Gulf
DOI: 10.15468/dl.crcgd9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-119.896 35.04811, -119.895 35.04811, -119.8951 35.05008, -119.8964 35.05009, -119.897 35.04811, -119.896 35.04811))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005804-251120083545085/datasets/export for details.
DOI: 10.17632/ds3582v368.1
title: Background Values of Trace Metals in the Soil of the Katangan Copperbelt, DR Congo

description: This dataset compiles measurements of trace metals and major elements in soils collected across the Katangan Copperbelt in the Democratic Republic of Congo. The samples were taken from two soil layers (0-25 cm and 25-50 cm) and systematically classified by lithostratigraphic unit. For each sampling point, the dataset includes geographic coordinates, field observations, and concentrations of a broad suite of elements such as As, Co, Cu, Mn, Ni, Pb, Zn. 
Beyond raw concentrations, the dataset provides an interactive map that brings together all results. Users can select the trace metal of interest (e.g. Cu, Co) and the soil horizon (topsoil: 0–25 cm; subsoil: 25–50 cm), access summary statistics (50th and 90th percentiles, mean, standard deviation, coefficient of variation) and display spatial distribution maps for the KCB. The interface allows users to query a point by GPS coordinates and view the PGB values and other statistics of the lithostratigraphic unit in which that point lies. It also supports map export for direct inclusion in reports. Available in French, English and German, this interactive map improves accessibility and uptake by stakeholders.
DOI: 10.5281/zenodo.15482052
title: Dynamical Activity Complexes Decoding
DOI: 10.5281/zenodo.17700425
title: Dynamical Activity Complexes Decoding
DOI: 10.5281/zenodo.17696741
title: Dataset for "Are We Done Yet?": A Vision-Based Judge for Autonomous Task Completion of Computer Use Agents

description: This dataset accompanies the paper “Are We Done Yet?: A Vision-Based Judge for Autonomous Task Completion of Computer Use Agents.” It contains human-labeled macOS GUI tasks, execution trajectories from three Computer Use Agents (CUAs), and 5 Vision–Language Models (VLM) judgments about whether each task was successfully completed. Each example links a high-level natural-language task description with final desktop screenshots, low-level actions, and binary success labels (“done” / “not done”, and "max steps exeeded, but not done"), enabling research on task completion evaluation, feedback, and self-correction in CUA agents.

 

Potential Use Cases





Training and evaluating vision-based judges of GUI task completion




Studying failure modes and self-correction of computer-use agents




Building reward models and offline RL pipelines based on evaluator outputs




Benchmarking new CUAs, evaluators, or feedback mechanisms on realistic desktop workflows



Processing Details





Tasks were manually designed across 42 built-in macOS applications to cover diverse interaction patterns (menus, dialogs, text input, navigation, filters, settings, etc.).




For each task, three CUAs were run in a controlled macOS environment (virtual machine); their full trajectories (screenshots, actions, and reasoning) were recorded.




Human annotator reviewed the final state for each run and labeled whether the task goal was truly achieved according to the natural-language description.


Multiple VLMs were prompted in a zero-shot setting with the task description + final screenshot to produce binary “done/not done” labels and short rationales.
DOI: 10.5281/zenodo.17696742
title: Dataset for "Are We Done Yet?": A Vision-Based Judge for Autonomous Task Completion of Computer Use Agents

description: This dataset accompanies the paper “Are We Done Yet?: A Vision-Based Judge for Autonomous Task Completion of Computer Use Agents.” It contains human-labeled macOS GUI tasks, execution trajectories from three Computer Use Agents (CUAs), and 5 Vision–Language Models (VLM) judgments about whether each task was successfully completed. Each example links a high-level natural-language task description with final desktop screenshots, low-level actions, and binary success labels (“done” / “not done”, and "max steps exeeded, but not done"), enabling research on task completion evaluation, feedback, and self-correction in CUA agents.

 

Potential Use Cases





Training and evaluating vision-based judges of GUI task completion




Studying failure modes and self-correction of computer-use agents




Building reward models and offline RL pipelines based on evaluator outputs




Benchmarking new CUAs, evaluators, or feedback mechanisms on realistic desktop workflows



Processing Details





Tasks were manually designed across 42 built-in macOS applications to cover diverse interaction patterns (menus, dialogs, text input, navigation, filters, settings, etc.).




For each task, three CUAs were run in a controlled macOS environment (virtual machine); their full trajectories (screenshots, actions, and reasoning) were recorded.




Human annotator reviewed the final state for each run and labeled whether the task goal was truly achieved according to the natural-language description.


Multiple VLMs were prompted in a zero-shot setting with the task description + final screenshot to produce binary “done/not done” labels and short rationales.
DOI: 10.17632/fxw9d2g5z4
title: WallVoice24BD: A collection of wall graffiti related to anti-government demonstrations in Bangladesh during July-August 2024.

description: There were massive political demonstrations in Bangladesh during July-August, 2024 protesting the sitting government because of the suppressive methods used by them to govern the country. The demonstrations were predominantly led by students of universities - popularly referred to as GenZ. They were disenchanted predominantly because of their perceived lack of employment and business opportunities. This was further exacerbated by the lack of their disenfranchisement during the last three general elections in the country.

The demonstrations were mainly led by students at different colleges and universities. A very popular method used by students to exhibit political discontent is through street wall graffiti. In Bangladesh, the use of graffiti has a long history that goes all the way to the British rule. Historically, these graffiti were restricted to written messages - that also in black-and-white. More recently, colors and character caricature were incorporated into the messaging. This dataset is a collection of a considerable amount of these wall-graffiti in the form of images.

The images were collected from Dhaka, the capital of Bangladesh. As these demonstrations were led by students, the wall-graffiti were concentrated around the major educational institutions of Dhaka. The images were collected and are organized in folders by the locales from were collected. These folders are: (i) Azimpur-Neelkhet, (ii) Baily Road-Viqarunessa, (iii) BUET-Palashi, (iv) Dhanmondi, (v) Dhaka University-Shahbagh, and (vi) Mirpur-Uttara-Tejgaon.

All images have been scaled down to standard 1400 by 1080 pixels, either in portrait or landscape form.
DOI: 10.34810/data2725
title: Concentration of organic micropollutants in reclaimed water used for irrigation from two pilot-scale wastewater treatment systems in a mediterranean agricultural demonstration site (Greece)

description: The dataset contemplates the concentration of micropollutants in irrigation waters coming as effluents from 2 setups of a pilot-scale wastewater treatment plant (RW-1 & RW-2) of a wastewater treatment plant at pilot scale in Lesvos, Greece. Samples were collected along 5 campaigns (C0-C4), which comprise different periods of crops growth. The concentration (in ng/L) of 65 micropollutants in the water samples is depicted on both tables, along with the analytical parameters as method detection and quantification limits and recovery.
DOI: 10.17632/fxw9d2g5z4.1
title: WallVoice24BD: A collection of wall graffiti related to anti-government demonstrations in Bangladesh during July-August 2024.

description: There were massive political demonstrations in Bangladesh during July-August, 2024 protesting the sitting government because of the suppressive methods used by them to govern the country. The demonstrations were predominantly led by students of universities - popularly referred to as GenZ. They were disenchanted predominantly because of their perceived lack of employment and business opportunities. This was further exacerbated by the lack of their disenfranchisement during the last three general elections in the country.

The demonstrations were mainly led by students at different colleges and universities. A very popular method used by students to exhibit political discontent is through street wall graffiti. In Bangladesh, the use of graffiti has a long history that goes all the way to the British rule. Historically, these graffiti were restricted to written messages - that also in black-and-white. More recently, colors and character caricature were incorporated into the messaging. This dataset is a collection of a considerable amount of these wall-graffiti in the form of images.

The images were collected from Dhaka, the capital of Bangladesh. As these demonstrations were led by students, the wall-graffiti were concentrated around the major educational institutions of Dhaka. The images were collected and are organized in folders by the locales from were collected. These folders are: (i) Azimpur-Neelkhet, (ii) Baily Road-Viqarunessa, (iii) BUET-Palashi, (iv) Dhanmondi, (v) Dhaka University-Shahbagh, and (vi) Mirpur-Uttara-Tejgaon.

All images have been scaled down to standard 1400 by 1080 pixels, either in portrait or landscape form.
DOI: 10.17632/zw55ybbmjn
title: Data for figures

description: This dataset compiles original data from a study investigating microbial iron reduction in sediments of Tibetan Plateau lakes with varying salinity (e.g., Erhai Lake, Tuosu Lake). The research hypothesis posits that sediment physicochemical properties (e.g., salinity, pH, total organic carbon) significantly influence microbial iron reduction kinetics and mineralogical transformations, driving biogeochemical cycles in extreme environments.
The data includes: 
1) Sediment physicochemical characteristics: Measurements of salinity, pH, TOC, TN, TP, and ion concentrations from lake sediments.
2) Iron reduction kinetics: Time-course data on Fe(II) production during anaerobic incubations, reflecting microbial activity.
3) Mineralogical analysis: X-ray diffractograms (XRD) identifying iron oxides (e.g., goethite, hematite) and other minerals.

Key findings reveal that high-salinity lakes (e.g., KeKe Lake) exhibit suppressed iron reduction rates, indicating salinity inhibition of microbial processes. Iron reduction is coupled with sulfur cycling, as evidenced by XRD-based mineral transformations. These insights highlight salinity as a critical regulator of iron biogeochemistry.

Data were gathered through field sediment sampling, laboratory anaerobic incubations with spectrophotometric Fe(II) analysis, and XRD mineral identification. The data can be interpreted using kinetic models (e.g., first-order fitting) to quantify reduction rates and correlated with environmental parameters to assess drivers of iron cycling. Researchers may use this dataset for comparative studies on saline lake biogeochemistry, modeling efforts, and understanding microbial-mineral interactions.
DOI: 10.17632/zw55ybbmjn.1
title: Data for figures

description: This dataset compiles original data from a study investigating microbial iron reduction in sediments of Tibetan Plateau lakes with varying salinity (e.g., Erhai Lake, Tuosu Lake). The research hypothesis posits that sediment physicochemical properties (e.g., salinity, pH, total organic carbon) significantly influence microbial iron reduction kinetics and mineralogical transformations, driving biogeochemical cycles in extreme environments.
The data includes: 
1) Sediment physicochemical characteristics: Measurements of salinity, pH, TOC, TN, TP, and ion concentrations from lake sediments.
2) Iron reduction kinetics: Time-course data on Fe(II) production during anaerobic incubations, reflecting microbial activity.
3) Mineralogical analysis: X-ray diffractograms (XRD) identifying iron oxides (e.g., goethite, hematite) and other minerals.

Key findings reveal that high-salinity lakes (e.g., KeKe Lake) exhibit suppressed iron reduction rates, indicating salinity inhibition of microbial processes. Iron reduction is coupled with sulfur cycling, as evidenced by XRD-based mineral transformations. These insights highlight salinity as a critical regulator of iron biogeochemistry.

Data were gathered through field sediment sampling, laboratory anaerobic incubations with spectrophotometric Fe(II) analysis, and XRD mineral identification. The data can be interpreted using kinetic models (e.g., first-order fitting) to quantify reduction rates and correlated with environmental parameters to assess drivers of iron cycling. Researchers may use this dataset for comparative studies on saline lake biogeochemistry, modeling efforts, and understanding microbial-mineral interactions.