cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/k9xwb5hyzn.1
title: Good and Bad Classification of Pigweed leaf (Chenopodium album)

description: The project focuses on classifying pigweed leaves into "good" and "bad" categories using a dataset comprising more than 500 images. All images were captured using a Samsung F62 mobile camera, ensuring a consistent and standardized data collection process. The leaves were photographed against a black background in daylight conditions to minimize environmental variations.

Dataset Composition:

Good Samples (Healthy): Over 500 images showcase healthy pigweed leaves, capturing their vibrant colors, normal growth patterns, and overall well-being. These images serve as positive examples for training the machine learning model.

Bad Samples (Unhealthy): An equivalent number of images feature pigweed leaves affected by diseases, pests, nutritional deficiencies, or environmental stressors. This negative class provides diverse instances of unhealthy leaves for model training and evaluation.

Data Collection Setup:
Images were captured using the Samsung F62 mobile camera to ensure high-quality and consistent visual representation. The use of a black background enhances the contrast, making it easier for the model to focus on leaf characteristics.

Lighting and Environmental Conditions:
All images were taken under daylight conditions to maintain natural lighting, mimicking real-world scenarios. This setup aims to enhance the model's robustness by exposing it to variations in lighting that might occur in practical field applications.

Image Characteristics:
The dataset includes pigweed leaves exhibiting various shapes, sizes, and degrees of damage. This diversity ensures that the model can generalize well and accurately classify leaves under different conditions.

Data Annotation:
Each image in the dataset is meticulously annotated to indicate whether it falls into the "good" or "bad" category. These annotations serve as the ground truth for model training, validation, and testing.

Data Preprocessing:
Preprocessing steps involve resizing, normalization, and background standardization to optimize the input for the machine learning algorithm. These steps contribute to the model's ability to handle variations and improve overall performance.

Objective:
The project aims to develop a robust machine learning model capable of accurately classifying pigweed leaves as "good" or "bad" based on visual cues captured by the Samsung F62 mobile camera. The application of this model can aid farmers in early detection of issues affecting pigweed crops, facilitating timely intervention for improved crop management.

Outcome:
The project seeks to deliver a trained model with practical applications in agriculture, specifically assisting farmers in making informed decisions about their pigweed crops. The performance of the model will be rigorously evaluated to ensure its accuracy and effectiveness in real-world scenarios, contributing to advancements in precision agriculture.
DOI: 10.6084/m9.figshare.22618832
title: Additional file 3 of Identification and characterization of CircRNA-associated CeRNA networks in moso bamboo under nitrogen stress

description: Additional file 3: Table S3. DECs analysis of three comparisons.
DOI: 10.6084/m9.figshare.25133357
title: Raw data for application examples in CyDotian software manuscript

description: This document mainly includes Coding sequences of PME-domain and pro-region of Type-1 PME in representative plants,Raw data from fusion gene analysis by LIR inference,Raw data from repeated sequence studies within four Cruciferae representative species and Graphical Abstract.
DOI: 10.6084/m9.figshare.25133357.v3
title: Raw data for application examples in CyDotian software manuscript

description: This document mainly includes Coding sequences of PME-domain and pro-region of Type-1 PME in representative plants,Raw data from fusion gene analysis by LIR inference,Raw data from repeated sequence studies within four Cruciferae representative species and Graphical Abstract.
DOI: 10.6084/m9.figshare.25133357.v2
title: Raw data for application examples in CyDotian software manuscript

description: This document mainly includes Coding sequences of PME-domain and pro-region of Type-1 PME in representative plants,Raw data from fusion gene analysis by LIR inference,Raw data from repeated sequence studies within four Cruciferae representative species and Graphical Abstract.
DOI: 10.6084/m9.figshare.25187492
title: Supplementary Material for: Leiomyosarcoma of the prostate: Report of two cases and review of the literature.

description: Leiomyosarcoma (LMS) of the prostate is an extremely rare and aggressive tumor that presents with non specific signs and symptoms. Treatment guidelines are not yet established.
We report two cases of LMS of the prostate. The presenting symptom was hematuria and diagnosis was ascertained through a transurethral resection of the prostate (TURP) for the two patients. The treatment course consisted of three courses of chemotherapy with gemcitabine and docetaxel, radical prostatectomy and postoperative radiation therapy for the first patient and three courses of Gemcitabine and radiation therapy of the prostate and the whole pelvis for the second patient. 
The follow-up of our two patients was 9 and 12 months, respectively. Recurrence occurred 10 months after treatment completion for the second case. No recurrence was noticed in the first case. 
These Two cases highlight the importance of a multimodal approach to yield the best outcomes.
DOI: 10.6084/m9.figshare.25187492.v1
title: Supplementary Material for: Leiomyosarcoma of the prostate: Report of two cases and review of the literature.

description: Leiomyosarcoma (LMS) of the prostate is an extremely rare and aggressive tumor that presents with non specific signs and symptoms. Treatment guidelines are not yet established.
We report two cases of LMS of the prostate. The presenting symptom was hematuria and diagnosis was ascertained through a transurethral resection of the prostate (TURP) for the two patients. The treatment course consisted of three courses of chemotherapy with gemcitabine and docetaxel, radical prostatectomy and postoperative radiation therapy for the first patient and three courses of Gemcitabine and radiation therapy of the prostate and the whole pelvis for the second patient. 
The follow-up of our two patients was 9 and 12 months, respectively. Recurrence occurred 10 months after treatment completion for the second case. No recurrence was noticed in the first case. 
These Two cases highlight the importance of a multimodal approach to yield the best outcomes.
DOI: 10.17632/xrxc2644f9.1
title: Comparsion between cuDFNsys and dfnWorks

description: This the comparison between the two codes

Use `Compare_main.m` to visualize the result.

As the simulation outputs are too big, I only upload the scripts and the run time results.

`Compare_cuDFNsys_DFNWORKS_DFNGen` - scripts and results of the comparison of DFN generation

`Compare_cuDFNsys_DFNWORKS_mesh_flow` - scripts and results of the comparison of mesh and flow simulation
DOI: 10.17632/tnf8fbcnkv.1
title: Data

description: The data shows the ERP and behavioral results of near-miss and full-miss under three reward expectancy levels: high, medium and low. The results show that on FRN and P300, the gap between near-miss and full-miss differs with different levels of reward expectancy, proving that reward expectancy affects the near-miss effect. 

Sheet names represent different dependent variables, low means low reward expectancy, same for medium and high . For some variables, the use declaration is marked in red font in the table
DOI: 10.5281/zenodo.10633707
title: Evaluation of germplasm in Solanum section Lycopersicon for tomato taste improvement

description: The genetic potential of accessions from Solanum section Lycopersicon (S. lycopersicum L., S. lycopersicum var. cerasiforme, Spimpinellifolium L., and S. habrochaites Knaap & Spooner) for breeding tomato taste has been studied in three environments with clonal replicates. The environment clearly affected the accumulation and level of variation of sugars and acids and derived variables through a direct effect. It seems that photosynthetically active radiation would exert a major effect on sugar accumulation while in the case of organic acids the effect of temperature might be more important. Even more, important genotype × environment interactions can considerably modify the real value of germplasm, being considerably higher in wild species. The environment affected not only mean contents but also the levels of variation. Thus, the need to develop multienvironmental screening programs is suggested to identify solid sources of variation. An important intraaccession variability was also found in wild germplasm, emphasizing the need to analyze a high number of plants per accession in order to identify sources of variation. Accessions with a significant genotypic contribution to the accumulation of sucrose within the Lycopersicon group were identified and may be interesting to analyze the regulation of vacuolar invertase. Accessions with different genotypic contributions to citric, malic, and glutamic acid accumulation have also been identified. These accessions will be valuable for the development of breeding programs considering the acid component of taste. Additionally, these genetic resources will be interesting to study the regulation of the tricarboxylic acid cycle and the gamma-aminobutyric acid shunt.




Link to publication:
https://journals.tubitak.gov.tr/cgi/viewcontent.cgi?article=1201&context=agriculture


Link to repository:
http://hdl.handle.net/10234/180464




 




For more detailed data contact the authors

 

AcknowledgmentsThis research was partially financed by the Spanish Ministry of Science and Innovation (MICINN) (project AGL2005-08083-C03-01).
DOI: 10.5281/zenodo.10633708
title: Evaluation of germplasm in Solanum section Lycopersicon for tomato taste improvement

description: The genetic potential of accessions from Solanum section Lycopersicon (S. lycopersicum L., S. lycopersicum var. cerasiforme, Spimpinellifolium L., and S. habrochaites Knaap & Spooner) for breeding tomato taste has been studied in three environments with clonal replicates. The environment clearly affected the accumulation and level of variation of sugars and acids and derived variables through a direct effect. It seems that photosynthetically active radiation would exert a major effect on sugar accumulation while in the case of organic acids the effect of temperature might be more important. Even more, important genotype × environment interactions can considerably modify the real value of germplasm, being considerably higher in wild species. The environment affected not only mean contents but also the levels of variation. Thus, the need to develop multienvironmental screening programs is suggested to identify solid sources of variation. An important intraaccession variability was also found in wild germplasm, emphasizing the need to analyze a high number of plants per accession in order to identify sources of variation. Accessions with a significant genotypic contribution to the accumulation of sucrose within the Lycopersicon group were identified and may be interesting to analyze the regulation of vacuolar invertase. Accessions with different genotypic contributions to citric, malic, and glutamic acid accumulation have also been identified. These accessions will be valuable for the development of breeding programs considering the acid component of taste. Additionally, these genetic resources will be interesting to study the regulation of the tricarboxylic acid cycle and the gamma-aminobutyric acid shunt.




Link to publication:
https://journals.tubitak.gov.tr/cgi/viewcontent.cgi?article=1201&context=agriculture


Link to repository:
http://hdl.handle.net/10234/180464




 




For more detailed data contact the authors

 

AcknowledgmentsThis research was partially financed by the Spanish Ministry of Science and Innovation (MICINN) (project AGL2005-08083-C03-01).
DOI: 10.17632/xrxc2644f9.2
title: Comparsion between cuDFNsys and dfnWorks

description: ### For `Compare_cuDFNsys_DFNWORKS.zip`
************************************************************************************
This the comparison between the two codes

Use `Compare_main.m` to visualize the result.

As the simulation outputs are too big, I only upload the scripts and the run time results.

`Compare_cuDFNsys_DFNWORKS_DFNGen` - scripts and results of the comparison of DFN generation

`Compare_cuDFNsys_DFNWORKS_mesh_flow` - scripts and results of the comparison of mesh and flow simulation
************************************************************************************

### For `Compare_cuDFNsys_DFNWORKS.zip`
************************************************************************************
This is the cuDFNsys script for testing the particke tracking time in a circuit-like DFN.
************************************************************************************
DOI: 10.17632/4wtmpjnyz4.1
title: A micro-macro approach for the evaluation of fiscal policies: the case of the Italian tax-benefit reform

description: Replication folder for the paper "A micro-macro approach for the evaluation of fiscal policies: the case of the Italian tax-benefit reform"
DOI: 10.17632/9y5mvd6c4g.1
title: Supporting data for the paper entitled "Establishing the relationship between subjective perception and neural responses: Insights from Correlation Analysis and Representational Similarity Analysis"

description: The dataset includes raw EEG data
DOI: 10.17632/6bzzknpprb.1
title: HandloomGCN

description: This is a handloom dataset where various handloom cloth images, mostly muga and pat are gathered from the silk village: Sualkuchi in order to train the networks and conserve our traditional handloom styles. The captured images were cropped, enhanced and kept at a high quality. The samples were artificially boosted by cropping at different angles and using augmentation method . Total we have 2900 images in our handloom dataset consisting 300 captured images, 1500 cropped image in five ways and 1400 augmented images. All the images are in .jpg format with 500x500 resolution.
DOI: 10.17632/p4rjjcptzk.1
title: Data for Qr-codes

description: Results data for QR-codes
DOI: 10.17632/cbtmxwhnmp.1
title: COVID-19

description: The 2019 novel coronavirus disease (2019-nCoV or COVID-19) was recently reported
that it primarily originated from Wuhan, China and recorded to spread firstly among countries
like Japan, South Korea, Thailand and United States. Before it was announced by the World
Health Organization as pandemic, it was firstly announced as epidemic and have cause a
malignant number of fatal cases. There were a lot of speculations that have emerged with regards
to the very origin of the 2019-nCoV on its origin, carrier most especially the speculation that it is
airborne. The new coronavirus was reported that it was isolated from a vendor in South China
Seafood Market in Wuhan on the 7th of December 2019. The latter is famous in selling wild
animals or mammals which are believed to be the intermediate host of the said virus especially
bat hosts. Chinese authorities have decided to close the market on the 1st day of January 2020.
The virus was then called coronavirus disease (COVID-19) which was completely unknown
before it causes an outbreak in Wuhan, China. The new coronavirus is now shaking the world’s
surface and putting the global economy into its knees as it destroys the global economic activity
like trading and exports due to the very strict promulgated preventive measures of the deadly
virus which still does not have an immediate cure even up to these days.
DOI: 10.6084/m9.figshare.23571822.v1
title: Bile salt hydrolase acyltransferase activity shapes bile acid diversity and biochemistry

description: Supplemental figures from "Bile salt hydrolase acyltransferase activity expands bile acid diversity" by Guzior et al.
DOI: 10.6084/m9.figshare.23577093
title: Cutting-edge length, mass, and several morphometric data of Paleolithic stone artifacts from southern Jordan

description: The spreadsheets here present data of cutting-edge length, mass, and several morphometric measurements of nearly 5,000 stone tools of eight Paleolithic assemblages from five sites in southern Jordan. They consist of two Late Middle Paleolithic assemblages from Tor Sabiha and Tor Faraj, two Initial Upper Paleolithic (IUP) assemblages from Wadi Aghar and Tor Fawaz, two Early Upper Paleolithic (EUP) assemblages from Tor Hamar Layers H and Layers F–G, and two Epipaleolithic (Epi) assemblages from Tor Hamar Layer E2 and Layers B–E1.
DOI: 10.17632/7p3hyypmjm.10
title: Ocean Hazards Database (OHD) for the State of Hawaii Statewide Coastal Highway Program Report

description: This Ocean Hazards Database (OHD) contains all relevant geographic information system (GIS) layers, maps, measures, interpretations, and rankings from the Ocean Hazards Classification Scheme (OHCS) assessment of 302 mileposts and points of interest across coastal state routes in Hawaii. As a part of the State of Hawaii Department of Transportation Statewide Highway Shoreline Program Report, the OHCS assesses and ranks shoreline roadway vulnerability to historical sea-level rise rates (in/yr), projected sea-level raise rates by 2050 and 2100 (in/yr), mean tidal ranges (ft), maximum annually recurring peak wave periods (sec) and significant wave heights (ft), mean projected shoreline change rates (ft/yr) and coastal armoring, historical and hypothetical tsunami flow depths (ft), and hypothetical category 1-4 storm surge inundation heights (ft). OHCS ranking criteria and methods are described in chapter 3 of the State of Hawaii Statewide Coastal Highway Program Report (2019). OHD materials are organized into coastal highway digital elevation models, ocean hazard map packages, ocean hazard supplementary maps, and ocean hazard supplementary tables. Digital Elevation Models (DEM) contains GIS layers for nearshore topographic and bathymetric elevations on the islands of Hawaii, Maui, Molokai, Oahu, and Kauai. Map Packages contain GIS layers and mapping layouts for the assessment and projection of sea-level rise inundation, maximum annually recurring wave characteristics, projected shoreline change, storm surge inundation, and offshore bathymetry. Supplementary Tables contain OHCS measure results and rankings for 302 mileposts and points of interest across coastal state routes in Hawaii. Representative dataset references are included in table footnotes. Supplementary Maps contain image files of nearshore and offshore transects, sea-level rise inundation extents, maximum annually recurring wave characteristics, projected shoreline changes, and storm surge inundation extents for 302 mileposts and points of interest across coastal state routes in Hawaii. This project was funded by the Hawaii Department of Transportation, HWY-06-16, entitled "Statewide Highway Shoreline Protection Program Study Update."
DOI: 10.17632/7p3hyypmjm.11
title: Ocean Hazards Database (OHD) for the State of Hawaii Statewide Coastal Highway Program Report

description: Summary: This Ocean Hazards Database (OHD) contains all relevant geographic information system (GIS) layers, maps, measures, interpretations, and rankings from the Ocean Hazards Classification Scheme (OHCS) assessment of 302 mileposts and points of interest across coastal state routes in Hawaii. As a part of the State of Hawaii Department of Transportation Statewide Highway Shoreline Program Report, the OHCS assesses and ranks shoreline roadway vulnerability to historical sea-level rise rates (in/yr), projected sea-level rise rates by 2050 and 2100 (in/yr), mean tidal ranges (ft), maximum annually recurring peak wave periods (sec) and significant wave heights (ft), mean projected shoreline change rates (ft/yr) and coastal armoring, historical and hypothetical tsunami flow depths (ft), and hypothetical category 1-4 storm surge inundation heights (ft). OHCS ranking criteria and methods are described in chapter 3 of the State of Hawaii Statewide Coastal Highway Program Report (2019). OHD materials are organized into coastal highway digital elevation models, ocean hazard map packages, ocean hazard supplementary maps, and ocean hazard supplementary tables. How to Download: Digital Elevation Models (DEM) '.mpk' contains GIS layers for nearshore topographic and bathymetric elevations on the islands of: Hawaii - http://dx.doi.org/10.17632/6dd26tt5n9 Maui - http://dx.doi.org/10.17632/zdmdy8jtsw Molokai - http://dx.doi.org/10.17632/vcr9rg5ttm Oahu - http://dx.doi.org/10.17632/xh84bv6y5c Kauai - http://dx.doi.org/10.17632/vwmprpp7xr Supplementary Maps '.tiff' for 302 mileposts contain image files of: Nearshore Transects - http://dx.doi.org/10.17632/h29374xc3g Offshore Transects - http://dx.doi.org/10.17632/b4w7c9y96s Sea-level Rise Inundation 1ft, 2ft, 3ft - http://dx.doi.org/10.17632/xf33cd2sd5 Sea-level Rise Inundation at 2050 - http://dx.doi.org/10.17632/nnb533964z Sea-level Rise Inundation at 2100 - http://dx.doi.org/10.17632/kfb838gzr7 Maximum Annually Recurring Wave Characteristics - http://dx.doi.org/10.17632/4f4sb8j3zc Projected Shoreline Change - http://dx.doi.org/10.17632/9krv2pj3bw Storm Surge Inundation - http://dx.doi.org/10.17632/kp8k3cdxxx Map Packages '.mpk', below, contain GIS layers and mapping layouts for the assessment and projection of sea-level rise inundation, maximum annually recurring wave characteristics, projected shoreline change, storm surge inundation, and offshore bathymetry. Supplementary Tables '.pdf', below, contain OHCS measured results and rankings for 302 mileposts and points of interest across coastal state routes in Hawaii. Representative dataset references are included in table footnotes. This project was funded by the Hawaii Department of Transportation, HWY-06-16, entitled "Statewide Highway Shoreline Protection Program Study Update."