cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29390426
title: Eco‑friendly biosynthesis of Gold Nanoparticles from Amphimedon compressa with antibacterial, antioxidant, anti-inflammatory, anti-biofilm, and insecticidal properties against diseases vectors

description: XRD Dataset of Gold Nanoparticles Biosynthesized from <i>Amphimedon compressa</i>This dataset contains X-ray diffraction (XRD) analysis results of gold nanoparticles biosynthesized using the marine sponge <i>Amphimedon compressa</i>.<br>The analysis confirms the crystalline nature and phase purity of the nanoparticles produced via eco-friendly synthesis.<br>The dataset supports the findings presented in the study titled:<br>“Eco‑friendly biosynthesis of Gold Nanoparticles from <i>Amphimedon compressa</i> with antibacterial, antioxidant, anti-inflammatory, anti-biofilm, and insecticidal properties against disease vectors.”<br>Data is provided in <code>.xlsx</code> format for reuse and further analysis.<br>FTIR Dataset of Gold Nanoparticles Biosynthesized from <i>Amphimedon compressa</i>This dataset includes FTIR spectral analysis results for gold nanoparticles biosynthesized using <i>Amphimedon compressa</i> extract.<br>The FTIR data highlights the functional groups involved in the reduction and capping of gold nanoparticles during green synthesis.<br>The dataset supports the publication titled:<br>“Eco‑friendly biosynthesis of Gold Nanoparticles from <i>Amphimedon compressa</i> with antibacterial, antioxidant, anti-inflammatory, anti-biofilm, and insecticidal properties against disease vectors.”<br>Data is shared in <code>.xlsx</code> format for open access and reproducibility.<br>
DOI: 10.6084/m9.figshare.29390426.v1
title: Eco‑friendly biosynthesis of Gold Nanoparticles from Amphimedon compressa with antibacterial, antioxidant, anti-inflammatory, anti-biofilm, and insecticidal properties against diseases vectors

description: XRD Dataset of Gold Nanoparticles Biosynthesized from <i>Amphimedon compressa</i>This dataset contains X-ray diffraction (XRD) analysis results of gold nanoparticles biosynthesized using the marine sponge <i>Amphimedon compressa</i>.<br>The analysis confirms the crystalline nature and phase purity of the nanoparticles produced via eco-friendly synthesis.<br>The dataset supports the findings presented in the study titled:<br>“Eco‑friendly biosynthesis of Gold Nanoparticles from <i>Amphimedon compressa</i> with antibacterial, antioxidant, anti-inflammatory, anti-biofilm, and insecticidal properties against disease vectors.”<br>Data is provided in <code>.xlsx</code> format for reuse and further analysis.<br>FTIR Dataset of Gold Nanoparticles Biosynthesized from <i>Amphimedon compressa</i>This dataset includes FTIR spectral analysis results for gold nanoparticles biosynthesized using <i>Amphimedon compressa</i> extract.<br>The FTIR data highlights the functional groups involved in the reduction and capping of gold nanoparticles during green synthesis.<br>The dataset supports the publication titled:<br>“Eco‑friendly biosynthesis of Gold Nanoparticles from <i>Amphimedon compressa</i> with antibacterial, antioxidant, anti-inflammatory, anti-biofilm, and insecticidal properties against disease vectors.”<br>Data is shared in <code>.xlsx</code> format for open access and reproducibility.<br>
DOI: 10.15468/dl.6ttp8y
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyrtotrachelus buquetii Guérin-Méneville, 1844"
 ]
}

 The dataset's 2 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067096-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15728739
title: Thermal compartments for efficient coupling of thermally incompatible enzymes into cascade reactions via plasmonic photothermal conversion in hydrogels - NMR data

description: This data entry documents quantitative 1H NMR spectroscopy data acquired for measuring the concentration of N-Cyclohexylaniline in the reaction product of cascade enzymatic reactions. Datasets include NMR measurements for test samples as well as calibrations. All experiments were undertaken at 22.3 T with a Bruker 950 MHz Avance III spectrometer. Deuterated acetonitrile is used for all solutions. Measurement parameters are available in the metadata of each experiment - either as title, acqupars, or procpars. Calibration samples are measured for both before and after freeze drying.

Data Folders and GuidesThe list of experiments, where folder names are matched with experimental conditions of enzymatic reactions and calibration samples are attached as DataGuide_TestSamples.csv and DataGuide_Calibrations.csv, respectively.
DOI: 10.5281/zenodo.15728738
title: Thermal compartments for efficient coupling of thermally incompatible enzymes into cascade reactions via plasmonic photothermal conversion in hydrogels - NMR data

description: This data entry documents quantitative 1H NMR spectroscopy data acquired for measuring the concentration of N-Cyclohexylaniline in the reaction product of cascade enzymatic reactions. Datasets include NMR measurements for test samples as well as calibrations. All experiments were undertaken at 22.3 T with a Bruker 950 MHz Avance III spectrometer. Deuterated acetonitrile is used for all solutions. Measurement parameters are available in the metadata of each experiment - either as title, acqupars, or procpars. Calibration samples are measured for both before and after freeze drying.

Data Folders and GuidesThe list of experiments, where folder names are matched with experimental conditions of enzymatic reactions and calibration samples are attached as DataGuide_TestSamples.csv and DataGuide_Calibrations.csv, respectively.
DOI: 10.17632/x344f79sxv
title: Defunding Controversial Industries - Code

description: Replication code for "Defunding Controversial Industries: Can Targeted Credit Rationing Choke Firms?" (Sachdeva, K., Silva, A.F., Slutzky, P. and Xu, B.)
DOI: 10.17632/x344f79sxv.3
title: Defunding Controversial Industries - Code

description: Replication code for "Defunding Controversial Industries: Can Targeted Credit Rationing Choke Firms?" (Sachdeva, K., Silva, A.F., Slutzky, P. and Xu, B.)
DOI: 10.17632/vnbyftyjzn
title: Household Debt Overhang and Human Capital Investment

description: This package is for the study “Household Debt Overhang and Human Capital Investment”, by Manso, Rivera, Wang, and Xia, in the Journal of Financial Economics. The study consists of both theoretical and empirical analyses. The “1.Theory” subfolder of this package contains the programs used to solve the theoretical model and to generate all associated figures. The “2.Empirics” subfolder contains the programs and pseudo data for the empirical analyses.
DOI: 10.17632/vnbyftyjzn.1
title: Household Debt Overhang and Human Capital Investment

description: This package is for the study “Household Debt Overhang and Human Capital Investment”, by Manso, Rivera, Wang, and Xia, in the Journal of Financial Economics. The study consists of both theoretical and empirical analyses. The “1.Theory” subfolder of this package contains the programs used to solve the theoretical model and to generate all associated figures. The “2.Empirics” subfolder contains the programs and pseudo data for the empirical analyses.
DOI: 10.5525/gla.researchdata.2002
title: Colorimetric detection of estrogen using gold nanoparticles is susceptible to microbial matrix interference

description: There are folders which contain the raw and analysed data presented in the publication. The data are Excel files, which contain the raw and analysed data, and metadata. There is DLS analyser raw files, which can be opened with Zetasizer software (from Malvern Analytical).
DOI: 10.17632/kyb87r9x2w
title: Real-Time Detection of Bangla Sign Language for Shopkeeper-Customer Communication

description: This data set provides a sample of 6480 labeled images of still hand gestures depicting 14 distinct signs of the Bangla Sign Language (BdSL). It is specifically geared towards helping to advance the real-time communication tools to the deaf and the hard-of-hearing people and specifically in the business world like shopkeeper-customer relationship. The data was formed under the free will of people of different ages and types. The images were shot through the use of different smartphone-specific camera (13 MP and above), in varied real-life conditions. The light conditions include changes in light environment including natural light and dark light, the position and the backgrounds. All the cameras operated the auto exposure mode and had standard settings without manual settings and filters.

Each image in the dataset corresponds to one of 14 commonly used Bangla words or phrases:
"আমি" (I), "আপনি" (You), "স্যার" (Sir), "প্যাকেট" (Packet), "বিস্কুট" (Biscuit), "খাওয়া" (Eat), "এক" (One), "দুই" (Two), "তিন" (Three), "চার" (Four), "পাঁচ" (Five), "ওজন" (Weight), "টাকা" (Money), and "আমি তোমাকে ভালোবাসি" (I love you).
The data is split into two groups in order to fulfil the requirements of different machine learning reasons:
• Training (Detection): This folder consists of annotated images (bounding box) that is used to train object detection models such as YOLOv10.
• Testing (Recognition): It has images that are not labeled and images that are labeled with the classes and may be used to test and train a gesture classification model.
They are all in JPG format and have been filtered and compressed to make the file size smaller and still maintain quality of the image. This brings the dataset to be more available to the researchers with limited resources of computation.
The current data is especially useful to those of us in the sphere of:
• recognition of sign language
• Human to computer interaction
• Supporting technologies of the deaf and hard-of-hearing population
The fact that the dataset allows to accurately identify and detect gestures of the Bangla Sign Language enables inclusiveness to its members and closes the communication gap between the hearing impaired and the rest of the society. It can also be used as a benchmark corpus on future study on regional sign language systems, which are usually underexamined in the global datasets.
DOI: 10.17632/kyb87r9x2w.1
title: Real-Time Detection of Bangla Sign Language for Shopkeeper-Customer Communication

description: This data set provides a sample of 6480 labeled images of still hand gestures depicting 14 distinct signs of the Bangla Sign Language (BdSL). It is specifically geared towards helping to advance the real-time communication tools to the deaf and the hard-of-hearing people and specifically in the business world like shopkeeper-customer relationship. The data was formed under the free will of people of different ages and types. The images were shot through the use of different smartphone-specific camera (13 MP and above), in varied real-life conditions. The light conditions include changes in light environment including natural light and dark light, the position and the backgrounds. All the cameras operated the auto exposure mode and had standard settings without manual settings and filters.

Each image in the dataset corresponds to one of 14 commonly used Bangla words or phrases:
"আমি" (I), "আপনি" (You), "স্যার" (Sir), "প্যাকেট" (Packet), "বিস্কুট" (Biscuit), "খাওয়া" (Eat), "এক" (One), "দুই" (Two), "তিন" (Three), "চার" (Four), "পাঁচ" (Five), "ওজন" (Weight), "টাকা" (Money), and "আমি তোমাকে ভালোবাসি" (I love you).
The data is split into two groups in order to fulfil the requirements of different machine learning reasons:
• Training (Detection): This folder consists of annotated images (bounding box) that is used to train object detection models such as YOLOv10.
• Testing (Recognition): It has images that are not labeled and images that are labeled with the classes and may be used to test and train a gesture classification model.
They are all in JPG format and have been filtered and compressed to make the file size smaller and still maintain quality of the image. This brings the dataset to be more available to the researchers with limited resources of computation.
The current data is especially useful to those of us in the sphere of:
• recognition of sign language
• Human to computer interaction
• Supporting technologies of the deaf and hard-of-hearing population
The fact that the dataset allows to accurately identify and detect gestures of the Bangla Sign Language enables inclusiveness to its members and closes the communication gap between the hearing impaired and the rest of the society. It can also be used as a benchmark corpus on future study on regional sign language systems, which are usually underexamined in the global datasets.
DOI: 10.17632/j9djj5wdcy
title: P-TEFb PAPA paper

description: Raw images from Graham et al., 2025, Single-molecule live imaging of subunit interactions and exchange within cellular regulatory complexes.
DOI: 10.6084/m9.figshare.29390666
title: Seu_obj_blood10x.rds

description: Proccessed object from malignant B-Cells from 10x.
DOI: 10.6084/m9.figshare.29390666.v1
title: Seu_obj_blood10x.rds

description: Proccessed object from malignant B-Cells from 10x.
DOI: 10.17632/j9djj5wdcy.1
title: P-TEFb PAPA paper

description: Raw images from Graham et al., 2025, Single-molecule live imaging of subunit interactions and exchange within cellular regulatory complexes.
DOI: 10.15468/spabqu
title: Herbarium UGDA - Orchidaceae Collection

description: The database contains data on orchids based on the collections of the Herbarium of the University of Gdańsk
DOI: 10.5281/zenodo.15728858
title: Pre-processed Magnetograms derived from SDOBenchmark Dataset

description: This solar flares dataset  was part of a Masters dissertation by Mangaliso Mngomezulu. It was derived  from  https://i4ds.github.io/SDOBenchmark/, (accessed: December 05, 2023). It contains magnetogram derivatives with morphological closing and opening operations applied on them to enhance the umbra and penumbra isolating them from the background and eliminating fine grain pixel variations. It was produced to investigate the effects of using the original raw magnetograms in contrast to these preprocessing methods when predicting the catergory of an upcoming flare in given previous magnetogram observations (image series to class). The umbra and penumbra are enhanced motivated by their theorized partial indicativeness of an upcomning flare. In the dissertation, regions of interest (ROIs) are further derived from the magnetogram derivatives to explore the impact of focusing on the largest umbra and or penumbra in the magnetogram. The ROIs are not included here to keep the dataset lightweight but the dissertation provides an overview of how they were obtained.  File naming structure: < AR_yyyy − mm − ddT hhminsms_class > which indicates the active reggion number, year, month, day, hours time, minutes,  milliseconds, flare category  respectively. The flare catergories are based on the Geostationary Operational Environmental Satellites (GOES) system.

The dataset provides a catalogue with magnetogram derivatives and associated classes. Users must be careful about AR overlaps and timestamps of the observations (some are collected within narrow time differences in the same AR and they may give results that need to be interpreted with caution.
DOI: 10.5281/zenodo.15728859
title: Pre-processed Magnetograms derived from SDOBenchmark Dataset

description: This solar flares dataset  was part of a Masters dissertation by Mangaliso Mngomezulu. It was derived  from  https://i4ds.github.io/SDOBenchmark/, (accessed: December 05, 2023). It contains magnetogram derivatives with morphological closing and opening operations applied on them to enhance the umbra and penumbra isolating them from the background and eliminating fine grain pixel variations. It was produced to investigate the effects of using the original raw magnetograms in contrast to these preprocessing methods when predicting the catergory of an upcoming flare in given previous magnetogram observations (image series to class). The umbra and penumbra are enhanced motivated by their theorized partial indicativeness of an upcomning flare. In the dissertation, regions of interest (ROIs) are further derived from the magnetogram derivatives to explore the impact of focusing on the largest umbra and or penumbra in the magnetogram. The ROIs are not included here to keep the dataset lightweight but the dissertation provides an overview of how they were obtained.  File naming structure: < AR_yyyy − mm − ddT hhminsms_class > which indicates the active reggion number, year, month, day, hours time, minutes,  milliseconds, flare category  respectively. The flare catergories are based on the Geostationary Operational Environmental Satellites (GOES) system.

The dataset provides a catalogue with magnetogram derivatives and associated classes. Users must be careful about AR overlaps and timestamps of the observations (some are collected within narrow time differences in the same AR and they may give results that need to be interpreted with caution.
DOI: 10.17632/gf32nfmvzz
title: Dados fictícios

description: Os dados apresentados são fictícios, representados apenas para a disciplina "Metodologia e redação científica" do PPGCMH.
DOI: 10.17632/gf32nfmvzz.1
title: Dados fictícios

description: Os dados apresentados são fictícios, representados apenas para a disciplina "Metodologia e redação científica" do PPGCMH.
DOI: 10.5281/zenodo.15729093
title: Daten der Notaufnahmesurveillance

description: Der Datensatz 'Notaufnahmesurveillance' enthält aggregierte Daten der Routinedokumentation aus einer Auswahl deutscher Notaufnahmen aus dem AKTIN-Notaufnahmeregister und bildet die Grundlage für die Notaufnahmesurveillance am RKI.
DOI: 10.21947/2570093
title: Site G - Surface Meteorological Station / Reviewed Data

description: This dataset contains meteorological data both from the ground and tether termination near the balloon on tethered balloon system at AWAKEN site G. The met data include time stamp, wind speed, temperature, relative humidity, and pressure.
DOI: 10.17632/p8w5jnks8h
title: Banco de Dados: força e potência de saltos verticais de bailarinos clássicos

description: Título: Dataset simulado - força e potência de saltos verticais de bailarinos clássicos
Este banco de dados contém informações simuladas para fins didáticos no contexto da disciplina do mestrado. Nenhum dado real de participante foi utilizado.
Este conjunto de dados contém informações simuladas de 100 bailarinos clássicos amadores, incluindo escores de força e potência de saltos verticais avaliados no tapete de saltos da Cefise, além do sexo, idade, tempo de treinamento dos participantes. Os dados foram gerados com distribuição realista para fins didáticos e analíticos na disciplina de pesquisa do mestrado.
Importante: os dados são simulados e não correspondem a indivíduos reais.
DOI: 10.17632/p8w5jnks8h.1
title: Banco de Dados: força e potência de saltos verticais de bailarinos clássicos

description: Título: Dataset simulado - força e potência de saltos verticais de bailarinos clássicos
Este banco de dados contém informações simuladas para fins didáticos no contexto da disciplina do mestrado. Nenhum dado real de participante foi utilizado.
Este conjunto de dados contém informações simuladas de 100 bailarinos clássicos amadores, incluindo escores de força e potência de saltos verticais avaliados no tapete de saltos da Cefise, além do sexo, idade, tempo de treinamento dos participantes. Os dados foram gerados com distribuição realista para fins didáticos e analíticos na disciplina de pesquisa do mestrado.
Importante: os dados são simulados e não correspondem a indivíduos reais.
DOI: 10.15468/dl.xx6z6t
title: Occurrence Download

description: A dataset containing 47233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-79.35002 43.6981,-79.35143 43.70038,-79.35918 43.69702,-79.35744 43.695,-79.35002 43.6981))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 47233 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067102-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/82jxyxdhrg
title: Investigation and analysis on the factors for Orthopaedics nurses' attitudes toward “Internet + Home-visit Nursing Service and their willingness to implement it, from developed area s of China : A- multicenter Study

description: From April to June 2024, on the basis of literature analysis and expert meetings, the "Internet +" Home-visit Nursing Service cognition and willingness questionnaire was prepared. A questionnaire survey was conducted by 321 orthopedic nurses from top three hospitals in 11 cities of Zhejiang Province by means of convenient sampling. Single factor analysis and multiple linear regression were used to analyze the influencing factors of "Internet +" Home-visit Nursing Service among orthopedic nurses.
DOI: 10.17632/82jxyxdhrg.1
title: Investigation and analysis on the factors for Orthopaedics nurses' attitudes toward “Internet + Home-visit Nursing Service and their willingness to implement it, from developed area s of China : A- multicenter Study

description: From April to June 2024, on the basis of literature analysis and expert meetings, the "Internet +" Home-visit Nursing Service cognition and willingness questionnaire was prepared. A questionnaire survey was conducted by 321 orthopedic nurses from top three hospitals in 11 cities of Zhejiang Province by means of convenient sampling. Single factor analysis and multiple linear regression were used to analyze the influencing factors of "Internet +" Home-visit Nursing Service among orthopedic nurses.