cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zhm2j4n8n8.1
title: Antibiotic Susceptibility Profiles of Post-Chlorination Bacterial Isolates from Urban Wastewater Treatment Plants in Gujarat, India

description: This dataset offers a thorough examination of the patterns of antibiotic susceptibility in bacterial isolates that were found in the chlorinated wastewater of five sewage treatment plants (STPs) in Gujarat, India—two in Vadodara and three in Anand. In total, 19 bacterial isolates have been obtained after in situ chlorination that includes 11 Gram-positive and 8 Gram-negative strains. Antimicrobial susceptibility testing was performed on these isolates using the Kirby-Bauer disk diffusion technique, and the findings were interpreted according to the Clinical and Laboratory Standards Institute (CLSI) M100-S25 Guidelines. This study's main goal was to determine the distribution and prevalence of antimicrobial resistance (AMR) in bacteria that survive final-stage disinfection in municipal solid waste treatment plants. Thirty-one antibiotics were examined: Penicillin-G, Oxacillin, Ampicillin, Cefotaxime, Vancomycin, Teicoplanin, Tetracycline, Gentamicin, Erythromycin, Azithromycin, Chloramphenicol, Clindamycin, Norfloxacin, Ofloxacin, and Co-Trimazine are among the 16 antibiotics that target Gram-positive bacteria, while 15 antibiotics that target Gram-negative bacteria include Piperacillin/Tazobactam, Cefoperazone/Sulbactam, Carbenicillin, Tetracycline, Doxycycline Hydrochloride, Amikacin, Gentamicin, Streptomycin, Kanamycin, Ciprofloxacin, Ofloxacin, Gatifloxacin, Co-Trimazine, and Nitrofurantoin. In both bacterial groups, the effects of four broad-spectrum antibiotics—Tetracycline, Gentamicin, Ofloxacin, and Co-Trimazine—were examined. Based on CLSI breakpoints, each zone of inhibition (ZOI) was classified as susceptible, intermediate, or resistant and measured in millimetres. With color-coded annotations—green for susceptible, yellow for intermediate, and red for resistant—the data are displayed in a comprehensive categorization matrix. The widespread nature of resistance across bacterial species and antibiotic classes may be easily understood using this approach. Two sets of comparative graphical analyses are included in the dataset to improve interpretability. Potential multi-drug resistance is highlighted in the first set, which shows the antibiotic resistance profile for each distinct isolate. In order to determine which antibiotics are the most and least effective in the post-chlorination setting, the second set evaluates the effectiveness of each antibiotic across all isolates. These visual representations provide helpful insights on the effectiveness of disinfection processes and microbial tolerance to chlorine stress. The area of environmental AMR surveillance is growing, and this dataset adds to it, especially for treated wastewater systems, which are frequently not included in national monitoring programs. Integrated AMR monitoring inside STPs is necessary because of the documented resistance in post-treatment isolates, which highlights the possible risk of releasing resistant bacteria into natural environments.
DOI: 10.17632/pd8v7dkz3y
title: Significados de la continuidad de vínculos en hombres que experiencian el duelo por un ser querido

description: Se presentan el instrumento y la técnica de recolección de datos utilizados en la tesis doctoral titulada "Significados de la continuidad de vínculos en hombres que experiencian el duelo por un ser querido".
DOI: 10.17632/pd8v7dkz3y.1
title: Significados de la continuidad de vínculos en hombres que experiencian el duelo por un ser querido

description: Se presentan el instrumento y la técnica de recolección de datos utilizados en la tesis doctoral titulada "Significados de la continuidad de vínculos en hombres que experiencian el duelo por un ser querido".
DOI: 10.17632/y96tpxzwh7
title: Data for Titanium isotopic insight into rock formation processes within the Aleutian Island Arc

description: Data and supplemental data by Ling et al for submission to Geochimica et Cosmochimica Acta as "Titanium isotopic insight into rock formation processes within the Aleutian Island Arc"
DOI: 10.17632/y96tpxzwh7.1
title: Data for Titanium isotopic insight into rock formation processes within the Aleutian Island Arc

description: Data and supplemental data by Ling et al for submission to Geochimica et Cosmochimica Acta as "Titanium isotopic insight into rock formation processes within the Aleutian Island Arc"
DOI: 10.15468/dl.4kyydy
title: Occurrence Download

description: A dataset containing 328726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((121 41,129 41,129 50,121 50,121 41))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 328726 records from 365 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037835-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/m7qbay
title: SLR Mapping Building Sustainable Entrepreneurship in Cloud Computing Markets: A Systematic Review

description: SLR Mapping for Building Sustainable Entrepreneurship in Cloud Computing Markets: A Systematic Review reserach
DOI: 10.6084/m9.figshare.29227016.v3
title: Reimagining Quality: Artificial Intelligence, Governance, and the Politics of Data in Higher Education

description: Artificial intelligence (AI) is rapidly reshaping how quality is defined, measured, and governed in higher education. This paper critically examines the cultural and ideological implications of AI integration in educational quality assurance, focusing on Vietnam as a site of contested technological translation. Drawing on Science and Technology Studies (STS), the study explores how algorithmic systems reconfigure traditional pedagogical values, hierarchical relationships, and conceptions of authority – shifting power from professional judgment to data infrastructures. In doing so, AI introduces a new epistemic regime that privileges quantification, predictability, and managerial control, often at odds with local traditions of moral education and dialogical learning. The paper argues that this transition is not merely technological but reflects deeper neoliberal logics and knowledge cultures that increasingly dominate global education policy. Through a mixed-methods approach combining bibliometric mapping, institutional case studies, and practitioner surveys, the research reveals both the promises and frictions of AI-driven quality assurance. Rather than treating AI as a neutral instrument, the paper positions it as a cultural actor that co-produces new forms of governance, visibility, and exclusion. It concludes by calling for more reflexive, participatory, and culturally situated approaches to educational technology.
DOI: 10.17632/6zwv9chrj9
title: Coordinates

description: Data for the geographical location of sedimentary rock outcrops within the Jatobá (PE) and Tucano (BA) basins.
DOI: 10.17632/6zwv9chrj9.1
title: Coordinates

description: Data for the geographical location of sedimentary rock outcrops within the Jatobá (PE) and Tucano (BA) basins.
DOI: 10.17632/tdgkkjyr2f.2
title: Dataset of solution files for generic contact mechanics model via modified penalty method based on power-law formulation

description: This dataset contains solution files for contact mechanics problems solved using a generic contact formulation implemented in the legacy version of the FEniCS open-source finite element library. The model is based on a modified penalty method with a power-law interaction formulation. Simulations capture the elastic deformation of components under four distinct contact conditions. The dataset is organized into five directories, each corresponding to a different problem scenario. For each case, separate VTU files are provided for each part in the simulation. These files include the x-, y-, and z-components of displacement (in mm), all components of the strain tensor, and all components of the stress tensor (in MPa). This dataset serves as a useful benchmark for researchers in contact mechanics, materials science, and mechanical engineering. Selected animations illustrating the solution evolution are also included in a separate file.
DOI: 10.34740/kaggle/dsv/12139532
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.17632/yg9mkv37s4
title: Anonymized Interview Transcripts for Study on Malaria Vaccine Uptake in Oyo State, Nigeria

description: This dataset contains anonymized transcripts of qualitative interviews conducted as part of a research study exploring factors influencing malaria vaccine uptake for children, among postnatal mothers in selected primary healthcare centres in Oyo State, Nigeria. The data was collected through key-informant interviews and pseudonyms were used to protect participants' identities. The transcripts are intended to support transparency and allow for further qualitative analysis and replication.
DOI: 10.17632/yg9mkv37s4.1
title: Anonymized Interview Transcripts for Study on Malaria Vaccine Uptake in Oyo State, Nigeria

description: This dataset contains anonymized transcripts of qualitative interviews conducted as part of a research study exploring factors influencing malaria vaccine uptake for children, among postnatal mothers in selected primary healthcare centres in Oyo State, Nigeria. The data was collected through key-informant interviews and pseudonyms were used to protect participants' identities. The transcripts are intended to support transparency and allow for further qualitative analysis and replication.
DOI: 10.17632/ppxxcgpz9b
title: Efficacy and Safety of Oral Erlotinib in TRPV3-related Olmsted Syndrome: a Case Series

description: Supplementary figures (A-B, C-D). Clinical images of OS patients treated with erlotinib 
A and B, patient 10, with the TRPV3 p.Gly573Ser mutation, achieved complete remission of hyperkeratosis.
C and D, patient 9, with the TRPV3 p.Met672Ile mutation, exhibited only partial remission of skin hyperkeratosis.
Supplementary figures (E, F). Adverse effects of 2 patients treated with erlotinib
E, Severe acneiform eruption in patient 3 after two weeks of erlotinib treatment.
F, Diffuse hair loss in patient 2 after two months of erlotinib treatment.
Supplementary figures (G-I). Immunofluorescence staining of phospho-epidermal growth factor receptor (p-EGFR) in normal control, patient 9, and patient 4 before erlotinib treatment.
DOI: 10.17632/ppxxcgpz9b.1
title: Efficacy and Safety of Oral Erlotinib in TRPV3-related Olmsted Syndrome: a Case Series

description: Supplementary figures (A-B, C-D). Clinical images of OS patients treated with erlotinib 
A and B, patient 10, with the TRPV3 p.Gly573Ser mutation, achieved complete remission of hyperkeratosis.
C and D, patient 9, with the TRPV3 p.Met672Ile mutation, exhibited only partial remission of skin hyperkeratosis.
Supplementary figures (E, F). Adverse effects of 2 patients treated with erlotinib
E, Severe acneiform eruption in patient 3 after two weeks of erlotinib treatment.
F, Diffuse hair loss in patient 2 after two months of erlotinib treatment.
Supplementary figures (G-I). Immunofluorescence staining of phospho-epidermal growth factor receptor (p-EGFR) in normal control, patient 9, and patient 4 before erlotinib treatment.
DOI: 10.5281/zenodo.15099885
title: A large-scale image-text dataset benchmark for farmland segmentation

description: We introduced language-based descriptions of farmland and developed FarmSeg-VL dataset—the first fine-grained image-text dataset designed for spatiotemporal farmland segmentation. The FarmSeg-VL exhibits significant spatiotemporal characteristics. In terms of the temporal dimension, it covers all four seasons. In terms of the spatial dimension, it covers eight typical agricultural regions across China, with a total area of approximately 4,300 km². In addition, in terms of captions, FarmSeg-VL covers rich spatiotemporal characteristics of farmland, including its inherent properties, phenological characteristics, spatial distribution, topographic and geomorphic features, and the distribution of surrounding environments.

If you find this project useful in your research, please consider citing:

[1] Tao, C., Zhong, D., Mu, W., Du, Z., and Wu, H.: A large-scale image-text dataset benchmark for farmland segmentation, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2025-184, in review, 2025.

[2] H. Wu, Z. Du, D. Zhong, Y. Wang and C. Tao, "FSVLM: A Vision-Language Model for Remote Sensing Farmland Segmentation," in IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-13, 2025, Art no. 4402813, doi: 10.1109/TGRS.2025.3532960.

[3] Haiyang Wu, Weiliang Mu, Dandan Zhong, Zhuofei Du, Haifeng Li, Chao Tao, FarmSeg_VLM: A farmland remote sensing image segmentation method considering vision-language alignment, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 225, 2025,Pages 423-439.
DOI: 10.5281/zenodo.15646452
title: Differential amino acid metabolites in AQP5+ and AQP5- gastric cancer cells identified by targeted metabolomics analyses
DOI: 10.5281/zenodo.15646453
title: Differential amino acid metabolites in AQP5+ and AQP5- gastric cancer cells identified by targeted metabolomics analyses
DOI: 10.17632/jjfnsm3nfy.1
title: When Do Short Sellers Trade? Evidence from Intraday Data and Implications for Informed Trading Models

description: Replication package for the JFE paper "When Do Short Sellers Trade? Evidence from Intraday Data and Implications for Informed Trading Models". Paper Abstract: Using 2015-2019 intraday short sale data from CBOE, we show that shorting flows near the open, middle, and close all negatively predict future returns, but the shorting flows near the open and middle have stronger predictive power than shorting flows near the close. We relate our findings to three informed trading models with different predictions on the timing of the trades. The long term predictive power of shorting flows near the open and midday is consistent with Kyle’s (1985) model of steady trading; the intraday variation in shorting flows’ predictive power is more consistent with Holden and Subrahmanyam’s (1992) aggressive trading model, in the sense that predictive power of shorting flows is stronger when there is greater urgency to trade at open and when the securities lending market is more competitive; and the liquidity timing hypothesis from Collin-Dufresne and Fos (2016) is also supported by the finding that opening shorting flows increase for firms with better liquidity conditions.
DOI: 10.5281/zenodo.15645801
title: ADCP measurements in the framework of the DANUBE4all Project (GA No. 101093985) – 2024 (April & July) – Sondei-Împuțita Canal

description: The datasets were acquired with a powered boat-mounted acoustic Doppler current profiler (ADCP, RiverRay 600 kHz, manufactured by Teledyne Marine)

Data collection and processing Software: WinRiver II, Version 2.23.00.01

The Discharge summary files and bathymetry were exported for each cross-section using the equipment software.
DOI: 10.5281/zenodo.15645802
title: ADCP measurements in the framework of the DANUBE4all Project (GA No. 101093985) – 2024 (April & July) – Sondei-Împuțita Canal

description: The datasets were acquired with a powered boat-mounted acoustic Doppler current profiler (ADCP, RiverRay 600 kHz, manufactured by Teledyne Marine)

Data collection and processing Software: WinRiver II, Version 2.23.00.01

The Discharge summary files and bathymetry were exported for each cross-section using the equipment software.
DOI: 10.17632/hmb3f8ypjb
title: Mutual Fund Investor Response to Climate Activism: Evidence from the 2019 Global Climate Strike

description: Replication files for Fang, Fei, and Parida, Sitikantha, 2025. Mutual Fund Investor Response to Climate Activism: Evidence from the 2019 Global Climate Strike. Economic Modelling.
DOI: 10.17632/hmb3f8ypjb.1
title: Mutual Fund Investor Response to Climate Activism: Evidence from the 2019 Global Climate Strike

description: Replication files for Fang, Fei, and Parida, Sitikantha, 2025. Mutual Fund Investor Response to Climate Activism: Evidence from the 2019 Global Climate Strike. Economic Modelling.
DOI: 10.17632/md324cfjv3.1
title: Differential protein degradation with a super-degron tag and thalidomide analogs

description: Differential protein degradation with a super-degron tag and thalidomide analogs: EGFP is degraded in wild-type mouse cell, while PD-1 requires CRBN humanization, providing new insights into T cell regulation.
DOI: 10.5281/zenodo.15646006
title: A dataset for reproducing key findings in a manuscript ready for submission on 20250612

description: A dataset for reproducing key findings in a manuscript ready for submission on 20250612
DOI: 10.5281/zenodo.15646007
title: A dataset for reproducing key findings in a manuscript ready for submission on 20250612

description: A dataset for reproducing key findings in a manuscript ready for submission on 20250612
DOI: 10.17632/zykwvxrhn8
title: Replication materials (data and codes) for "Demographics and Real Interest Rates Across Countries and Over Time"

description: Replication materials (data and codes) for "Demographics and Real Interest Rates Across Countries and Over Time"
DOI: 10.17632/zykwvxrhn8.1
title: Replication materials (data and codes) for "Demographics and Real Interest Rates Across Countries and Over Time"

description: Replication materials (data and codes) for "Demographics and Real Interest Rates Across Countries and Over Time"
DOI: 10.6084/m9.figshare.29301068
title: 浙江农林大学毕业论文 Data_ShenZhe

description: 菌根真菌可以减轻干旱胁迫对木本植物的影响。然而，具有不同菌根关联的植物在干旱条件下是否表现出不同的响应模式仍不清楚。本研究整合了涉及 127 种木本植物物种的 128 个纵水实验的结果，并使用传统的荟萃分析和系统发育荟萃分析评估了菌根类型和环境因素对生物量及其分配模式的交互影响。
DOI: 10.6084/m9.figshare.29301068.v1
title: 浙江农林大学毕业论文 Data_ShenZhe

description: 菌根真菌可以减轻干旱胁迫对木本植物的影响。然而，具有不同菌根关联的植物在干旱条件下是否表现出不同的响应模式仍不清楚。本研究整合了涉及 127 种木本植物物种的 128 个纵水实验的结果，并使用传统的荟萃分析和系统发育荟萃分析评估了菌根类型和环境因素对生物量及其分配模式的交互影响。
DOI: 10.17632/2fjhmdg5nt
title: Magnesium Alloy Mechanical Property Database

description: The dataset includes information regarding the mechanical property of magnesium (Mg) alloys. The dataset has been processed and used for machine learning (ML) operations. 
This database includes alloy names/compositions (individual elemental makeup in weight percentage), processing, yield strength, ultimate tensile strength, and ductility.
DOI: 10.17632/2fjhmdg5nt.2
title: Magnesium Alloy Mechanical Property Database

description: The dataset includes information regarding the mechanical property of magnesium (Mg) alloys. The dataset has been processed and used for machine learning (ML) operations. 
This database includes alloy names/compositions (individual elemental makeup in weight percentage), processing, yield strength, ultimate tensile strength, and ductility.
DOI: 10.17632/bcrvwb2ss8
title: Improved Recommendation Algorithm by Integrated Clustering in the Construction of Intelligent Learning Model in Higher Vocational Colleges

description: In the context of the information technology and big data era, higher vocational colleges are faced with the dual challenges and opportunities of data utilization and innovation in teaching models. Traditional teaching methods struggle to fully exploit the value of student behavioral data, and recommendation algorithms have limitations when handling complex student behavior data, making it difficult to meet personalized learning needs. This study aims to optimize recommendation algorithms using ensemble clustering techniques, constructing an intelligent learning model tailored to higher vocational colleges to enhance student engagement and participation. The innovation lies in two key aspects: first, a learning recommendation model based on Dynamic Clustering (DC) and Deep Reinforcement Learning (DRL) is proposed. Initially, traditional K-means clustering is employed to perform a preliminary clustering analysis of student behavior data, which provides an initial segmentation of the student group. The DC algorithm is then introduced to model and analyze student behavior data dynamically over time, accurately capturing trends and patterns in students' learning behaviors. Second, the DRL algorithm maps student behavior data to the learning recommendation decision space. Through interactions between students and the environment, the model learns to optimize recommendation strategies. Furthermore, ensemble methods are used to combine multiple model predictions, effectively reducing bias and variance, and enhancing both model generalization and recommendation accuracy. This study trains and evaluates the proposed learning recommendation model using the Student Classroom Behavior (SCB)-Dataset3 dataset. The model’s effectiveness is quantitatively assessed using objective metrics such as course view counts, click-through rates, viewing duration, attendance rates, learning activity indices, and resource utilization rates. The results show that the designed intelligent learning model demonstrates significant advantages on public datasets. Compared to traditional methods, the accuracy and personalization of course recommendations have notably improved. Specifically, course view counts increased by 10%, click-through rates improved by 8%, viewing duration rose by 12%, attendance rates increased by 5%, learning activity indices grew by 15%, and resource utilization rates rose by 30%. The integration of clustering techniques and recommendation algorithms in the intelligent learning model proves to be both feasible and superior in higher vocational colleges, significantly enhancing students' learning experience and outcomes. The findings of this study provide reliable intelligent learning models for higher vocational colleges, supporting personalized learning recommendations, which have important practical significance and promotion value for improving teaching quality and student satisfaction.