cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kk6y7nnbfs
title: Images of COVID-19 positive and negative pneumonia patients

description: We uploaded the CT slices with suspected COVID-19 pneumonia signs marked by radiologists for each patient (both positive and negative) in this study to ensure that all patients' images can be uploaded within this capacity. Among them, CT images (training) from one hospital that can be divided into the training, validation, and test datasets are stored in the "Data_For_Training_Validation_Test.hdf5" file. The shape of each slice of CT images is (256, 256), down-sampling from (512, 512) in order to save space. The CT images from the other hospital used for external validation dataset is stored in the "ExternalValidationData.hdf5" file. The shape of each layer of CT images is (256, 256, 3). The data dimension should be extended to three when using BigBiGAN framework to extract image semantic features. In this dataset, in order to save space, we did not expand the training dataset. BigBiGAN training could be implemented using the source code we provide: https://github.com/MI-12/BigBIGAN-for-COVID-19. with h5py.File("TrainData.hdf5", 'r') as record: keys = list(record.keys()) The above two lines of code are used to obtain the keys of each image, that is, the name of each image. The name of the CT image is corresponds to the name of the image in the excel files provided. Please cite the reference if using this dataset: Jiangdian Song, Hongmei Wang, Yuchan Liu, Wenqing Wu, Gang Dai, Zongshan Wu, Puhe Zhu, Wei Zhang, Keisten W. Yeom, Kexue Deng. End-to-end automatic differentiation of the coronavirus disease 2019 (COVID-19) from viral pneumonia based on chest CT. European journal of nuclear medicine and molecular imaging (2020): 1-9.
DOI: 10.6084/m9.figshare.29206397
title: Data and Code for Policy Coordination Networks and Diffusion Patterns in China’s New-Generation Special Economic Zones: Evidence from Guangdong-Macao In-Depth Cooperation Zone in Hengqin

description: Data and Code for Policy Coordination Networks and Diffusion Patterns in China’s New-Generation Special Economic Zones: Evidence from Guangdong-Macao In-Depth Cooperation Zone in Hengqin
DOI: 10.6084/m9.figshare.29206397.v1
title: Data and Code for Policy Coordination Networks and Diffusion Patterns in China’s New-Generation Special Economic Zones: Evidence from Guangdong-Macao In-Depth Cooperation Zone in Hengqin

description: Data and Code for Policy Coordination Networks and Diffusion Patterns in China’s New-Generation Special Economic Zones: Evidence from Guangdong-Macao In-Depth Cooperation Zone in Hengqin
DOI: 10.17632/ydm5zkdm9k
title: Metastatic Osteosarcoma Involving the Skin: A Systematic Review of Patient Demographics, Clinical Characteristics, and Treatment Outcomes

description: Supplemental material to the study 'Metastatic Osteosarcoma Involving the Skin: A Systematic Review of Patient Demographics, Clinical Characteristics, and Treatment Outcomes ' by Fried, Suhrawardy et al., 2022 in Journal of the American Academy of Dermatology.
DOI: 10.17632/4m9k8xwbmt
title: Social Media Influencers: Exploring User Attitudes and Purchase Behavior

description: An online survey was conducted from January 8 to March 14, 2024, employing a questionnaire created with Google Forms to assess users' attitudes toward digital influencers and the impact of social media advertising on consumer buying behavior. The survey link was distributed via email and social media to partner organizations, resulting in 376 complete responses during the study period. Various classical and modern statistical methods were utilized to visualize and analyze the collected dataset. Participants evaluated their social media experience based on criteria such as convenience, interactivity, attractiveness, expertise, and trustworthiness. However, respondents' opinions suggest that there is no statistically significant effect of social media influencers on customer purchase intention.
DOI: 10.17632/xnx9bfbh6b
title: soybeans-not-noted-cut

description: This dataset contains images of grains classified into six categories based on different types of defects. The categories include good, moldy, burnt, pecky, scorched, and greenish. Each class is organized into separate folders, with images representing the specific conditions of each defect type. The dataset was collected to train machine learning models for the classification and detection of grains in various quality conditions. The images are in JPG format and range in size from 500x550 to 900x850 pixels.

Categories:

 Good: Grains with no visible defects or signs of deterioration.
 Moldy: Grains with visible mold or discoloration due to mold growth.
 Burnt: Grains showing signs of burning or damage due to high temperatures.
 Pecky: Grains damaged by insects or pests.
 Scorched: Grains with superficial burning caused by improper processing.
 Greenish: Grains showing a green color due to factors like immaturity or weather exposure.

Format: Images organized into folders by category.
Image Size: Ranges from 500x550 to 900x850 pixels.
Number of Images: 7328.
DOI: 10.17632/4xs94489rw
title: [68Ga]Ga-Pentixafor PET/CT images of Glioma patients 

description: This dataset contains information showing chemokine receptor-4 (CXCR4) targeting in high-grade glial brain tumors in treatment-naïve adult patients using a novel radiolabeled PET tracer; [68Ga]Ga-CXCR4 PET/CT. 
The enrolled patients received the radiotracer intravenously. After approximately 60 minutes, the PET/CT acquisition was performed with a dedicated scanner and in 10 minutes time per bed position. The images were reconstructed and analyzed with the 3D-OSEM algorithm, applying PSF resolution recovery (TrueX in Syngo ® software, Siemens Medical Solution), 3 iterations, and 21 subsets using a 3 mm Gaussian post-smoothing filter.
These data would be potentially beneficial for automatic tumor delineation machine learning as well as for differentiation between an active viable tumor vs. post-surgery/necrosis in indeterminate cases. The theranostics potential (CXCR4-tageted labeled beta emitters) is one of the most novel areas of interest for future studies.
DOI: 10.17632/j32xdt2ff5
title: tea sickness dataset

description: This tea sickness dataset contains tea leaves showing 7 common diseases of tea: (1) Red leaf spot; (2) Algal leaf
spot; (3) Bird’s eyespot; (4) Gray blight; (5) White spot; (6) Anthracnose; (7) Brown blight. The dataset further contains a class of healthy tea leaves.  Each of the classes contains more than 100 images. The dataset was collected in Johnstone Boiyon farm, Koiwa location, Bomet county from a clone of 1510. It can be used with transfer learning for Machine learning models for predicting sickness in tea.
DOI: 10.17632/n8scbwn6dc
title: Termite Acoustic and Temperature Signals

description: This dataset contains the continuous acoustic-temperature signals of termite infestation in 24 hours’ time.
DOI: 10.17632/x5jdvx67z4
title: Data for: Evaluation of Web Usability Requirement Model and Web Application Interface Components

description: In a web application, being a non-quality requirement, usability has been quite a concern for a product to be more successful and efficient for users in the competitive market. The user-centric design methodology is also based on usability design. Even usability is just a non-functional requirement but usability analysis and design can impact the behavioral requirement of a web application to a great extent. The review and feedback sessions are done during prototype design and sometimes like in the agile XP process during the user interface designing step. A web application is built on a collection of defined HTML controls and components. Our ultimate goal would be to model a guideline of usability requirements for different web application components based on different characteristics of usability like learnability, efficiency, memorability, error recovery, flexibility. In this paper, we have evaluated a composite usability requirements model based on the usability requirement attributes & principals and categorization of the web application components based on web application design and interaction context.
DOI: 10.17632/d5vsgcxrk5
title: Virtual Assistant Devices Dataset

description: The data is extracted from benchmark websites, including notable platforms like Amazon, Target, and Walmart, primarily in the United States. The dataset comprises a balanced representation of sentiments, encompassing 842 positive, 800 negative, and 728 neutral reviews. Notably, the most frequently discussed aspects within the dataset revolve around clock features, connectivity, and sound quality. These aspects emerged as central themes in user reviews, providing valuable insights into the aspects that users prioritize when evaluating smart virtual assistant devices.
DOI: 10.6084/m9.figshare.11662428.v1
title: data_2k.zip

description: A learning curve dataset on OpenML data providing many statistics such as loss, accuracy, configuration, global and loca gradient statistics.<br>
DOI: 10.17632/42ghfjh6ky
title: Integrated use of Vermicompost and NPSZnB fertilizer on Growth and Yield performance of Potato in Leka Dulacha, Ethiopia

description: The research hypothesis was that the combined application of vermicompost and NPSBZn fertilizer on potato will have influence on its growth and yield.The findings showed that the combination of vermicompost and NPSZnB had a significant (p&lt;0.01) impact on several plant parameters, including plant height, the number of marketable and unmarketable tubers per plant, the total number of tubers per plant, the yield of unmarketable tubers, larger tuber sizes per plant, medium tuber sizes per plant, and small tuber sizes indicating high response of potato to treatments
DOI: 10.17632/97r29ng4wz
title: Calculating the Gravitational Constant via Temporal Gradients and Atomic Clocks

description: We present a novel analytical approach for determining the gravitational constant G, based on the measurement of gravitational time dilation using atomic clocks. Instead of mechanical measurements of force, this method applies the formula:
Δt / t = GM / rc²
which is reversed to solve for G using empirical data. Calculations are performed for three separate systems – Earth, the Sun, and Sagittarius A* – yielding values within 0.01–0.3% of the officially accepted gravitational constant. This is the first evidence that the gravitational constant (and possibly other constants) may be derived from a temporal gradient, rather than being a postulated universal constant — a result that is part of a broader theory about the influence of time on reality, which is to be published separately.
DOI: 10.17632/wp9h39kbtv
title: Time coding in rat dorsolateral striatum

description: Behavioral and Neural data from Time coding in rat dorsolateral striatum (Toso et al, 2021, Neuron). Read "Description.txt" inside each folder for a description of the datasets.
DOI: 10.6084/m9.figshare.20657442.v1
title: The organelle genomes of three Rhodiola species, Rhodiola wallichiana, Rhodiola crenulata and Rhodiola sacra

description: We sequenced, assembled and annotated the organelle genomes of three Rhodiola species, R. wallichiana R. crenulata and R. sacra, which were collected from 3,540 to 4,697 m above sea level from the QTP.
DOI: 10.17632/2t5pg25vkh
title: Supplementary Data: Development and Performance Evaluation of a Deep Learning Model for the Histopathological Diagnosis of Actinic Keratosis: A Diagnostic Case-Control-Accuracy Study

description: The dataset contains clinical data.

Abstract: 
Actinic keratosis (AK) is a precancerous skin lesion with the potential to progress into squamous cell carcinoma (SCC), with an overall prevalence of 14\%. Although AK is not routinely biopsied, it represents a significant portion of dermatopathology cases. Advances in histopathology now allow for the digitization of slides using whole slide imaging (WSI). While deep learning models (DLMs) have shown promise in various medical fields, their application in dermatopathology remains limited. Building on prior research, we developed a U-Net-based DLM to detect AK in histopathological slides. A total of 371 cases were used to develop the DLM, with two optimal classification thresholds identified for different tasks. In the test cohort, the DLM achieved an overall accuracy of 98.9\% at the patch level and an intersection over union (IoU) of 78.8\%. At the WSI level, the DLM reached an accuracy of 96.8\% and an IoU of 67.7\%. Additionally, 626 remaining cases were evaluated in a Diagnostic Case-Control-Accuracy Study, where the DLM's performance on AK slides and negative controls was compared to the gold standard, achieving an accuracy of 97.6\%. Our findings demonstrate the potential of DLMs to reliably detect AK in routine dermatopathology, suggesting their future impact as technology continues to advance.
DOI: 10.17632/cymrs4s7kj
title: Data for: Classification and regression with random forests as a standard method for presence-only data SDMs: A future conservation example using China tree species
DOI: 10.17632/r75c76jn3d
title: Difficulty faced by physiotherapy students related to handling of critically ill patients 

description: Physiotherapy students are required to learn how to handle critically ill patients during their education and training. However, this can be a challenging task due to various factors.

One of the main difficulties that physiotherapy students face is the high level of complexity and unpredictability of critically ill patients' conditions. These patients may have multiple health problems and require various interventions, which can be overwhelming for students who are still learning.

Additionally, dealing with critically ill patients can be emotionally and psychologically stressful for physiotherapy students, as the outcomes of their interventions can have a significant impact on the patients' recovery and quality of life. This can lead to feelings of anxiety and fear, which can further affect their ability to provide effective care.

Furthermore, physiotherapy students may struggle to provide adequate ventilation and oxygenation to critically ill patients, who may have compromised respiratory and cardiovascular systems. They need to possess a high level of skill and knowledge in the use of techniques and equipment such as mechanical ventilation and chest physiotherapy.

To overcome these difficulties, physiotherapy students require proper education and training in the management of critically ill patients. This includes a balance of theoretical knowledge and practical experience, as well as mentorship and guidance from experienced practitioners.

In conclusion, handling critically ill patients can be challenging and complex for physiotherapy students. However, with adequate education and training, as well as support from experienced practitioners, they can acquire the necessary skills and confidence to provide effective care to these patients.
DOI: 10.15468/dl.j3cxqq
title: Occurrence Download

description: A dataset containing 8545 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Fungimap",
 "Geometry POLYGON((135.3944 -38.87698,141.50251 -38.87698,141.50251 -32.26713,135.3944 -32.26713,135.3944 -38.87698))",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 8545 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016370-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2t727h69
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (U56) 56 Mile, Alaska, 1996-2023

description: This site is registered with the Circumpolar Active Layer Monitoring (CALM) program. It is one among a network of sites that represent a coordinated effort to standardize the collection and access to thaw measurements in representative undisturbed permafrost landscapes. This dataset contains long-term spatial thaw depth observations using mechanical probing on dates indicated by file column headers. To ensure relative consistency within the record, end-of-season measurement dates are within the same Julian calendar week during the height of the thaw season (mid-August to mid-September). It is important to note that the date of maximum annual thaw, interpreted as the active layer thickness, can vary from year to year and between sites.
DOI: 10.15468/dl.cxymaw
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nicaragua",
 "GadmGid is NIC.6_1",
 "TaxonKey is Habia fuscicauda (Cabanis, 1861)"
 ]
}

 The dataset includes 26 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016374-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a22r3nz6t
title: Thaw depth measurements from the Circumpolar Active Layer Monitoring (CALM) project for site 'Betty Pingo MNT' (U7 B), Alaska North Slope, United States (Alaska), 1995-2023

description: This site is registered with the Circumpolar Active Layer Monitoring (CALM) program. It is one among a network of sites that represent a coordinated effort to standardize the collection and access to thaw measurements in representative undisturbed permafrost landscapes. This dataset contains long-term spatial thaw depth observations using mechanical probing on dates indicated by file column headers. To ensure relative consistency within the record, end-of-season measurement dates are within the same Julian calendar week during the height of the thaw season (mid-August to mid-September). It is important to note that the date of maximum annual thaw, interpreted as the active layer thickness, can vary from year to year and between sites.
DOI: 10.15468/dl.hhdmaz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Phaethornis malaris (Nordmann, 1835))",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016371-250525065834625/datasets/export for details.
DOI: 10.18739/a26h4cs0k
title: Seasonal soil active layer measurements from a Circumpolar Active Layer Monitoring (CALM) grid, (U9B) 'Happy Valley 1km Grid', Alaska, 1995-2020

description: This site is registered with the Circumpolar Active Layer Monitoring (CALM) program. It is one among a network of sites that represent a coordinated effort to standardize the collection and access to thaw measurements in representative undisturbed permafrost landscapes. This dataset contains long-term spatial thaw depth observations using mechanical probing on dates indicated by file column headers. To ensure relative consistency within the record, end-of-season measurement dates are within the same Julian calendar week during the height of the thaw season (mid-August to mid-September). It is important to note that the date of maximum annual thaw, interpreted as the active layer thickness, can vary from year to year and between sites.
DOI: 10.18739/a2qf8jm3b
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (U27) Council, Alaska, 1999-2023

description: This site is registered with the Circumpolar Active Layer Monitoring (CALM) program. It is one among a network of sites that represent a coordinated effort to standardize the collection and access to thaw measurements in representative undisturbed permafrost landscapes. This dataset contains long-term spatial thaw depth observations using mechanical probing on dates indicated by file column headers. To ensure relative consistency within the record, end-of-season measurement dates are within the same Julian calendar week during the height of the thaw season (mid-August to mid-September). It is important to note that the date of maximum annual thaw, interpreted as the active layer thickness, can vary from year to year and between sites.
DOI: 10.15468/dl.t7hvtu
title: Occurrence Download

description: A dataset containing 11521 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Phaethornis malaris (Nordmann, 1835))",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 11521 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016372-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a20000221
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (U11a) Imnavait Creek 1 kilometer grid, Alaska, 1995-2023

description: This site is registered with the Circumpolar Active Layer Monitoring (CALM) program. It is one among a network of sites that represent a coordinated effort to standardize the collection and access to thaw measurements in representative undisturbed permafrost landscapes. This dataset contains long-term spatial thaw depth observations using mechanical probing on dates indicated by file column headers. To ensure relative consistency within the record, end-of-season measurement dates are within the same Julian calendar week during the height of the thaw season (mid-August to mid-September). It is important to note that the date of maximum annual thaw, interpreted as the active layer thickness, can vary from year to year and between sites.