cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25287319
title: Data for How Do the Government's Land Certification Policy Increased Household Income? Evidence from Java

description: Dataset for How Does the Government's Land Certification Policy Increased Household Income? Evidence from Java
DOI: 10.6084/m9.figshare.25287319.v1
title: Data for How Do the Government's Land Certification Policy Increased Household Income? Evidence from Java

description: Dataset for How Does the Government's Land Certification Policy Increased Household Income? Evidence from Java
DOI: 10.60893/figshare.jap.25043399.v1
title: Supplement Number 1

description: Concentrations of Ni 58, Cu 63 and Cu 65 in ppm that were detected in each sample.
DOI: 10.60893/figshare.jap.25043399
title: Supplement Number 1

description: Concentrations of Ni 58, Cu 63 and Cu 65 in ppm that were detected in each sample.
DOI: 10.6084/m9.figshare.25287328
title: Electronic Supplementary files- BMC

description: In these supplementary files, we have data as follows: <b>List of electronic Supplementary Files:</b>ES2: EggNOG annotations and analysis of different fungal species (<i>Funneliformis mosseae</i> 87-6_pot_B_2015, <i>Funneliformis geosporum</i>, <i>Tuber melanosporum</i>, <i>Rhizophagus proliferus</i>, <i>Funneliformis caledonium</i>, <i>Gigaspora margarita</i>, <i>Gigaspora rosea</i>, <i>Laccaria bicolor</i>, <i>Rhizophagus cerebriforme</i>, <i>Rhizophagus diaphanus</i>, and <i>Rhizophagus irregularis</i>) taken for analysis in the present study.ES3: CaZyme analysis fileES4: EffectorP analysis fileES5: Effectors annotations and Pfam domains analysis
DOI: 10.6084/m9.figshare.25287328.v1
title: Electronic Supplementary files- BMC

description: In these supplementary files, we have data as follows: <b>List of electronic Supplementary Files:</b>ES2: EggNOG annotations and analysis of different fungal species (<i>Funneliformis mosseae</i> 87-6_pot_B_2015, <i>Funneliformis geosporum</i>, <i>Tuber melanosporum</i>, <i>Rhizophagus proliferus</i>, <i>Funneliformis caledonium</i>, <i>Gigaspora margarita</i>, <i>Gigaspora rosea</i>, <i>Laccaria bicolor</i>, <i>Rhizophagus cerebriforme</i>, <i>Rhizophagus diaphanus</i>, and <i>Rhizophagus irregularis</i>) taken for analysis in the present study.ES3: CaZyme analysis fileES4: EffectorP analysis fileES5: Effectors annotations and Pfam domains analysis
DOI: 10.5281/zenodo.10703448
title: harco_gait dataset
DOI: 10.5281/zenodo.10703449
title: harco_gait dataset
DOI: 10.5281/zenodo.10065510
title: MIHIC: A multiplex IHC histopathological image classification dataset for lung cancer immune microenvironment quantification

description: A cohort of 47 TMA sections from 114 patients was collected from Liaoning cancer hospital \& Institute, where each TMA section has the size of 188,416$\times$110,080 pixels (i.e., 42660.87um$\times$24924.15um) at 40$\times$ magnification. TMA sections contain different number of tissue cores, ranging from 28 to 48. After excluding poor quality TMA sections with tissue folding, missing or contamination, there are totally 114 patients. Each patient has tissue cores with 12 different IHC stains, including CD3, CD20, CD34, CD38, CD68, CDK4, cyclin-D1, D2-40, FAP, Ki67, P53, and SMA. Two pathologists have manually labeled clear tissue regions (i.e., without controversy) in TMA sections based on visual examination via Qupath software, where six tissue types including Alveoli, Immune cells, Nerosis, Other, Stroma, Tumor were annotated. Besides the annotated six tissue types, we added one more Background type.

To build histological classification models, we split 309,698 image patches in MIHIC dataset into three sets: training, validation and test. Note that image patches extracted from the same annotated tissue region are distributed into the same set, which avoids data leakage during classification model optimization. According to the number of extracted ROIs, train, val and test accounted for 64\%, 16\% and 20\%.

if you use this dataset, please cite:

@article{wang2024mihic,
  title={MIHIC: a multiplex IHC histopathological image classification dataset for lung cancer immune microenvironment quantification},
  author={Wang, Ranran and Qiu, Yusong and Wang, Tong and Wang, Mingkang and Jin, Shan and Cong, Fengyu and Zhang, Yong and Xu, Hongming},
  journal={Frontiers in Immunology},
  volume={15},
  year={2024},
  publisher={Frontiers Media SA}
}
DOI: 10.5281/zenodo.10065509
title: MIHIC: A multiplex IHC histopathological image classification dataset for lung cancer immune microenvironment quantification

description: A cohort of 47 TMA sections from 114 patients was collected from Liaoning cancer hospital \& Institute, where each TMA section has the size of 188,416$\times$110,080 pixels (i.e., 42660.87um$\times$24924.15um) at 40$\times$ magnification. TMA sections contain different number of tissue cores, ranging from 28 to 48. After excluding poor quality TMA sections with tissue folding, missing or contamination, there are totally 114 patients. Each patient has tissue cores with 12 different IHC stains, including CD3, CD20, CD34, CD38, CD68, CDK4, cyclin-D1, D2-40, FAP, Ki67, P53, and SMA. Two pathologists have manually labeled clear tissue regions (i.e., without controversy) in TMA sections based on visual examination via Qupath software, where six tissue types including Alveoli, Immune cells, Nerosis, Other, Stroma, Tumor were annotated. Besides the annotated six tissue types, we added one more Background type.

To build histological classification models, we split 309,698 image patches in MIHIC dataset into three sets: training, validation and test. Note that image patches extracted from the same annotated tissue region are distributed into the same set, which avoids data leakage during classification model optimization. According to the number of extracted ROIs, train, val and test accounted for 64\%, 16\% and 20\%.

if you use this dataset, please cite:

@article{wang2024mihic,
  title={MIHIC: a multiplex IHC histopathological image classification dataset for lung cancer immune microenvironment quantification},
  author={Wang, Ranran and Qiu, Yusong and Wang, Tong and Wang, Mingkang and Jin, Shan and Cong, Fengyu and Zhang, Yong and Xu, Hongming},
  journal={Frontiers in Immunology},
  volume={15},
  year={2024},
  publisher={Frontiers Media SA}
}
DOI: 10.6084/m9.figshare.23905866.v2
title: Supplementary data and source data for "<b>Transitioning to healthy and sustainable diets has high environmental and affordability trade-offs for developing countries</b>"

description: supplementary data and source data for "<b>Transitioning to healthy and sustainable diets has high environmental and affordability trade-offs for developing countries</b>"
DOI: 10.5281/zenodo.7755727
title: Sea Surface Temperature Graphs from ERA5

description: The sea surface temperature graphs were generated from the ERA5 reanalysis product and used in the paper: Graph-Based Deep Learning for Sea Surface Temperature Forecasts, which was accepted at the Tackling Climate Change with Machine Learning Workshop at ICLR 2023.
description: This research project is supported by the TAIAO project CONT-64517-SSIFDS-UOW (Time-Evolving Data Science / Artificial Intelligence for Advanced Open Environmental Science) funded by the New Zealand Ministry of Business, Innovation, and Employment (MBIE). URL https://taiao.ai/.
DOI: 10.5281/zenodo.7755726
title: Sea Surface Temperature Graphs from ERA5

description: The sea surface temperature graphs were generated from the ERA5 reanalysis product and used in the paper: Graph-Based Deep Learning for Sea Surface Temperature Forecasts, which was accepted at the Tackling Climate Change with Machine Learning Workshop at ICLR 2023.
description: This research project is supported by the TAIAO project CONT-64517-SSIFDS-UOW (Time-Evolving Data Science / Artificial Intelligence for Advanced Open Environmental Science) funded by the New Zealand Ministry of Business, Innovation, and Employment (MBIE). URL https://taiao.ai/.
DOI: 10.6084/m9.figshare.25287355
title: Summary_combined

description: We introduce a semi-automated annotation process, using Google’s Gemini Pro language model.
DOI: 10.6084/m9.figshare.25287355.v1
title: Summary_combined

description: We introduce a semi-automated annotation process, using Google’s Gemini Pro language model.
DOI: 10.6084/m9.figshare.25287337
title: json_combined.csv

description: We introduce a semi-automated annotation process, using Google’s Gemini Pro language model.
DOI: 10.6084/m9.figshare.25287337.v1
title: json_combined.csv

description: We introduce a semi-automated annotation process, using Google’s Gemini Pro language model.
DOI: 10.26179/janm-ny82
title: Amery Ice Shelf Borehole Measurements in 1968
DOI: 10.6084/m9.figshare.25286551
title: PERCEPTION OF THE ASSESSMENT COMMITTEE ON THE STANDARD SETTING IN MEDICAL EDUCATION

description: This study explores the implementation of standard setting in medical education assessments at the Defence Services Medical Academy (DSMA) in Myanmar, focusing on the perspectives of DSMA's Assessment Committee members. Adopting an outcome-based, integrated curriculum since 2017, DSMA aims to produce scholarly physicians but faces challenges in implementing standard assessment settings. The research employs a mixed methods approach, with a quantitative phase involving questionnaires to all 36 committee members and a qualitative phase consisting of in-depth interviews with eight selected members. Findings indicate recognition of standard setting's benefits, such as enhanced educational quality and alignment with accreditation standards, but also concerns over increased workload and resistance to change. The study concludes that while the potential benefits of standard setting are acknowledged, targeted interventions are needed to address concerns, improve understanding, and support successful implementation. These should focus on increasing awareness, fostering collaboration, and providing necessary resources and training to overcome challenges and optimize standard-setting advantages in medical education.
DOI: 10.6084/m9.figshare.25286551.v1
title: PERCEPTION OF THE ASSESSMENT COMMITTEE ON THE STANDARD SETTING IN MEDICAL EDUCATION

description: This study explores the implementation of standard setting in medical education assessments at the Defence Services Medical Academy (DSMA) in Myanmar, focusing on the perspectives of DSMA's Assessment Committee members. Adopting an outcome-based, integrated curriculum since 2017, DSMA aims to produce scholarly physicians but faces challenges in implementing standard assessment settings. The research employs a mixed methods approach, with a quantitative phase involving questionnaires to all 36 committee members and a qualitative phase consisting of in-depth interviews with eight selected members. Findings indicate recognition of standard setting's benefits, such as enhanced educational quality and alignment with accreditation standards, but also concerns over increased workload and resistance to change. The study concludes that while the potential benefits of standard setting are acknowledged, targeted interventions are needed to address concerns, improve understanding, and support successful implementation. These should focus on increasing awareness, fostering collaboration, and providing necessary resources and training to overcome challenges and optimize standard-setting advantages in medical education.
DOI: 10.6084/m9.figshare.25287343
title: Serum metabolomics profile identifies patients with community-acquired pneumonia infected by bacteria, fungi, and viruses

description: <b>Purpose</b><b>: </b>Patients with bacterial, fungal, and viral community-acquired pneumonia (CAP) were studied to determine their metabolic profiles. <b>Methods</b><b>：</b>Loop-mediated isothermal amplification technology and nucleic acid sequence-dependent amplification combined with microfluidic chip technology were applied to screen multiple pathogens from respiratory tract samples. Eighteen patients with single bacterial infection (B-CAP), fifteen with single virus infection (V-CAP), twenty with single fungal infection (F-CAP), and twenty controls were enrolled. UHPLC-MS/MS analysis of untargeted serum samples for metabolic profiles. Multiple linear regression and Spearman's rank correlation analysis were used to determine associations between metabolites and clinical parameters. The sensitivity and specificity of the screened metabolites were also examined, along with their area under the curve. <b>Results</b><b>：</b>The metabolic signatures of patients with CAP infected by bacteria, viruses, and fungi were markedly different from those of controls. The abundances of 48, 57, and 81 metabolites were significantly unbalanced. Among these differential metabolites, 13, 14, and 30 were unique to the B-CAP, V-CAP, and F-CAP groups, respectively. Bacterial infections were the only known causes of disturbances in the pentose and glucuronate and aldarate and ascorbate metabolism interconversions metabolic pathway. <b>Conclusions</b><b>: </b>Serum metabolomic techniques based on UHPLC-MS/MS may identify differences between individuals with CAP who have been infected by various pathogens, and they can also build a metabolite signature for early detection of the origin of infection and prompt care.
DOI: 10.6084/m9.figshare.25287349
title: Multimorbidity and associated factors among people living with HIV at Kalisizo Hospital data.xlsx

description: Abstract Background: Sub-Saharan Africa is grappling with the intersection of chronic infectious and non-communicable diseases, leading to an escalating prevalence of multimorbidity. This study aimed to determine the prevalence and factors associated with multimorbidity among People living with HIV at Kalisizo Hospital in Kyotera district-Uganda. Methods: A cross-sectional survey of 296 randomly selected PLHIV receiving care and treatment at Kalisizo Hospital was conducted. Data on anthropometric measurements, glucose levels, hypertension, depression, and social demographic characteristics were collected using the WHO steps questionnaire, patient health questionnaire-9, and conducting anthropometric measurements and running laboratory tests. Data were entered in Excel 2007 and exported to STATA v15 for analysis. A modified Poisson regression model was used to estimate prevalence ratios with their 95% confidence intervals and p-values. Results: The study included 290 participants with a mean age of 43.42 (SD 8.65) years. Among respondents, 52.5% had completed primary education, 47.9% were married, 72.1% were Catholics, 42.2% were engaged in agriculture, and 63% earned ≤ 500,000 UGX monthly. The prevalence of multimorbidity was 16.9% (95% CI=13.0%-21.7%). In a multivariable model, participants who were as overweight (aPR=4.40, 95% CI: 2.33, 8.46, p&lt;0.001), and obese (aPR=5.89, 95% CI: 2.83, 12.2, p&lt;0.001), those in WHO HIV clinical stage 2 (aPR=1.89, 95% CI: 1.07, 3.34, p=0.029) and stage 3 or 4 (aPR=1.79, 95% CI: 1.01, 3.14, p=0.048), smokers (aPR=2.33, 95% CI: 1.21, 4.50, p=0.011), and those with a family history of NCDs (aPR=3.63, 95% CI: 2.18, 6.05, p&lt;0.001) had a higher prevalence of MM. Conclusion: The study underscores the common occurrence of multimorbidity among people living with HIV. It emphasizes the crucial need for People Living with HIV to incorporate lifestyle adjustments, such as weight control, and smoking secession, if they are to control MM.
DOI: 10.6084/m9.figshare.25287361
title: Protein sequences of the fungal species in consideration- BMC

description: Electronic Supplementary file2:Protein coding genes of <i>Funneliformis mosseae</i> 87-6_pot_B_2015, <i>Funneliformis geosporum</i>, <i>Tuber melanosporum</i>, <i>Rhizophagus proliferus</i>, <i>Funneliformis caledonium</i>, <i>Gigaspora margarita</i>, <i>Gigaspora rosea</i>, <i>Laccaria bicolor</i>, <i>Rhizophagus cerebriforme</i>, <i>Rhizophagus diaphanus</i>, and <i>Rhizophagus irregularis</i><i> </i>as predicted by GeneMarkST.
DOI: 10.6084/m9.figshare.25287361.v1
title: Protein sequences of the fungal species in consideration- BMC

description: Electronic Supplementary file2:Protein coding genes of <i>Funneliformis mosseae</i> 87-6_pot_B_2015, <i>Funneliformis geosporum</i>, <i>Tuber melanosporum</i>, <i>Rhizophagus proliferus</i>, <i>Funneliformis caledonium</i>, <i>Gigaspora margarita</i>, <i>Gigaspora rosea</i>, <i>Laccaria bicolor</i>, <i>Rhizophagus cerebriforme</i>, <i>Rhizophagus diaphanus</i>, and <i>Rhizophagus irregularis</i><i> </i>as predicted by GeneMarkST.
DOI: 10.25909/24954972.v2
title: Control of turbulent boundary layers by local forcing with round jets

description: This data includes two turbulent boundary layers over a flat plate and eight turbulent boundary layers with local forcing. The turbulent boundary over a flat plate was measured at 1239 mm and 1295 mm from the leading edge. All the turbulent boundary layers with local forcing were measured at 1295 mm from the leading edge.All measurements were conducted at one free stream velocity of 5.5 m/s and at the Reynolds number of Reθ ≈ 1132 where θ was the momentum thickness of the turbulent boundary layer over a flat plate.The local forcing frequencies were 100, 150, 200, and 250 Hz, which equates to the non-dimensional frequencies of 0.025, 0.038, 0.050, and 0.063, respectively. The forcing amplitudes were 0.1 and 0.2 times the free stream velocity.This data was used in the work named: "Control of turbulent boundary layers by local forcing with round jets"This research was funded by the Australian Government's Research Training Program (RTP) and by the Australian Government through the Australian Research Council (ARC DP-200101961)
DOI: 10.6084/m9.figshare.24320380.v1
title: Tabla 2: Artículo

description: La tabla adjunta corresponde al trabajo: Competencias laborales del ingeniero demandadas por las industrias: Una revisión de alcance.
DOI: 10.6084/m9.figshare.25287376
title: dataset.zip

description: This data set was created as part of my master's thesis. It contains a list of sanctioned and unsanctioned companies supplemented by Wikipedia articles and BBC articles. Document embeddings exist for each of these articles.
DOI: 10.6084/m9.figshare.25287376.v1
title: dataset.zip

description: This data set was created as part of my master's thesis. It contains a list of sanctioned and unsanctioned companies supplemented by Wikipedia articles and BBC articles. Document embeddings exist for each of these articles.
DOI: 10.5281/zenodo.10582910
title: Linked collectors and determiners for: Bryophyta collection of the Botanical Museum of the University of Oulu.

description: Natural history specimen data linked to collectors and determiners held within, "Bryophyta collection of the Botanical Museum of the University of Oulu". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/135fe78c-6fbb-4586-8d43-214b503dc593 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/135fe78c-6fbb-4586-8d43-214b503dc593. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.10582911
title: Linked collectors and determiners for: Bryophyta collection of the Botanical Museum of the University of Oulu.

description: Natural history specimen data linked to collectors and determiners held within, "Bryophyta collection of the Botanical Museum of the University of Oulu". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/135fe78c-6fbb-4586-8d43-214b503dc593 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/135fe78c-6fbb-4586-8d43-214b503dc593. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.10703717
title: Linked collectors and determiners for: Bryophyta collection of the Botanical Museum of the University of Oulu.

description: Natural history specimen data linked to collectors and determiners held within, "Bryophyta collection of the Botanical Museum of the University of Oulu". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/135fe78c-6fbb-4586-8d43-214b503dc593 using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/135fe78c-6fbb-4586-8d43-214b503dc593. Formatted as a Frictionless Data package.
DOI: 10.6084/m9.figshare.24540127
title: Forest responses to megadisturbance

description: Data and code associated with Bendall et al. manuscript relating forest responses to megadisturbance.NOTE: Please download all files to a single folder and then open and follow the instructions in the 'README'.
DOI: 10.6084/m9.figshare.24540127.v1
title: Forest responses to megadisturbance

description: Data and code associated with Bendall et al. manuscript relating forest responses to megadisturbance.NOTE: Please download all files to a single folder and then open and follow the instructions in the 'README'.
DOI: 10.6084/m9.figshare.25287439
title: data

description: data for Simulation Modeling of SMMESMME Clusters Structural Evolution Driven by Digital Transformation
DOI: 10.6084/m9.figshare.25287439.v1
title: data

description: data for Simulation Modeling of SMMESMME Clusters Structural Evolution Driven by Digital Transformation
DOI: 10.6084/m9.figshare.25287463
title: Supplementary Material for: Treatment of failure of macular hole closure due to post-vitrectomy macular edema using sub-Tenon triamcinolone acetonide injection: A case report

description: Introduction: Post-vitrectomy cystoid macular edema (CME) can lead to failure of macular hole (MH) closure. We report two cases of failure of MH closure due to post-vitrectomy CME, which were successfully treated using sub-Tenon triamcinolone acetonide (STTA) injection. 
Case presentations: Case 1 involved a 72-year-old male patient with a Gass Stage 3 MH in the right eye. He underwent pars plana vitrectomy (PPV), internal limiting membrane translocation, and sulphur hexafluoride (SF6) gas injection with cataract surgery in his right eye. The MH did not close postoperatively; further, CME developed at the edge of the MH. Accordingly, the patient underwent an STTA injection. Approximately 2 weeks after the STTA injection, the CME disappeared and the MH closed, which has remained closed 1 year after PPV. Case 2 involved a 78-year-old female patient with Gass Stage 3 MH in the left eye. The patient underwent the same surgical procedure as that performed in Case 1. Further, she presented with failure of MH closure caused by CME; therefore, an STTA injection was performed. Approximately 6 weeks after STTA injection, the CME disappeared and the MH closed; further, there was maintained improvement of best corrected visual acuity for 6 months.
Conclusions: STTA injection could be considered before reoperation in cases involving failure of MH closure due to postoperative CME.