cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.b4ne26
title: Occurrence Download

description: A dataset containing 7064 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ixodida",
 "Country is Brazil"
 ]
}

 The dataset includes 7064 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026915-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9k7a7k
title: Occurrence Download

description: A dataset containing 7015 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phocoenoides dalli (True, 1885)",
 "Year 1980-2023"
 ]
}

 The dataset includes 7015 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026923-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5pewee
title: Occurrence Download

description: A dataset containing 240 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Polyscias scutellaria (Burm.fil.) Fosberg)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 240 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075644-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gw3aw4
title: Occurrence Download

description: A dataset containing 368600096 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((3.86719 55.70855,-8.78906 47.90898,-7.38281 36.50081,10.89844 30.04057,32.69531 36.50081,33.39844 51.97811,3.86719 55.70855))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 368600096 records from 7158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0221069-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/95xxf29472.1
title: Injury data, Pavez-Fox et al.

description: Formatted dataset used to run analyses for MS in iScience
DOI: 10.17632/95xxf29472.2
title: Injury data, Pavez-Fox et al.

description: Formatted dataset used to run analyses for MS in iScience
DOI: 10.17632/dy6gtvt4mk.1
title: SmartEars: An intelligent method for monitoring poultry respiratory illnesses based on audio signals

description: Sound datasets from real farming environments are scarce, prompting us to release a portion of 5-second data segments with labels after multiple rounds of data cleaning. We have disclosed 2,000 segments for each of the three categories (Healthy, Sick, None - no chicken sound), totaling 6,000 five-second audio clips. We make this dataset publicly available, to contribute to the advancements in research related to the detection of respiratory diseases based on poultry vocalizations.

In large-scale poultry farming, respiratory diseases affect the health of chickens, leading to a decline in the quality and yield of both meat and eggs. Effective monitoring of these diseases is crucial to reducing their impact and enhancing the quality and yield. Currently, most monitoring methods still rely on manually monitoring chicken vocalizations, which are time-consuming, labor-intensive, and require specialized personnel, making 24/7 monitoring unfeasible. Existing intelligent methods are often limited to laboratory environments where individual chickens are monitored separately. These approaches do not meet the industrial and commercial requirements of poultry farms, where a diverse set of complex auditory signals may be captured. These signals include not only chicken vocalizations but also complex noises from cages, chicken behaviors, human activities, mechanical ventilation systems, and other backgrounds noises. In this study, we design a deep learning-based intelligent recognition algorithm capable of accurately distinguishing abnormal chicken vocalizations among complex sound signals. Furthermore, we integrate this algorithm into a distributed health monitoring system - SmartEars, enabling continuous collection of various sound signals and performing real-time recognitions, thereby providing round-the-clock monitoring of the respiratory diseases of chickens in real production environments. We collected 11,686 audio slices from actual farming environments, which were labeled through multiple rounds of annotations by veterinary experts, resulting in a high-quality dataset for model training. Additionally, we used Logfbank to capture critical audio features to assist model learning. We also designed five data augmentation techniques to prevent overfitting and improve model performance. Finally, we compared multiple models on an independent test dataset and selected RegNet as the best model, which achieved the highest accuracy of 96.03%. To validate the effectiveness of our approach, we compared the annotation results of SmartEars with seven veterinarians over the same dataset. The results demonstrated that SmartEars with an accuracy of 93% outperformed human veterinary experts with accuracy from 85% to 93%. SmartEars has been deployed in 3 large poultry farms located in Hebei, China, and it has successfully identified a number of outbursts of chicken diseases, such as a confirmed event around March 19, 2024, demonstrating the effectiveness of SmartEars.
DOI: 10.17632/dy6gtvt4mk.2
title: SmartEars: A Practical Framework for Poultry Respiratory Monitoring via Spectrogram-Based Audio Classification and AI-Assisted Labeling

description: Sound datasets from real farming environments are scarce, prompting us to release a portion of 5-second data segments with labels after multiple rounds of data cleaning. We have disclosed 2,000 segments for each of the three categories (Healthy, Sick, None - no chicken sound), totaling 6,000 five-second audio clips. We make this dataset publicly available, to contribute to the advancements in research related to the detection of respiratory diseases based on poultry vocalizations.

In large-scale poultry farming, respiratory diseases affect the health of chickens, leading to a decline in the quality and yield of both meat and eggs. Effective monitoring of these diseases is crucial to reducing their impact and enhancing the quality and yield. Currently, most monitoring methods still rely on manually monitoring chicken vocalizations, which are time-consuming, labor-intensive, and require specialized personnel, making 24/7 monitoring unfeasible. Existing intelligent methods are often limited to laboratory environments where individual chickens are monitored separately. These approaches do not meet the industrial and commercial requirements of poultry farms, where a diverse set of complex auditory signals may be captured. These signals include not only chicken vocalizations but also complex noises from cages, chicken behaviors, human activities, mechanical ventilation systems, and other backgrounds noises. In this study, we design a deep learning-based intelligent recognition algorithm capable of accurately distinguishing abnormal chicken vocalizations among complex sound signals. Furthermore, we integrate this algorithm into a distributed health monitoring system - SmartEars, enabling continuous collection of various sound signals and performing real-time recognitions, thereby providing round-the-clock monitoring of the respiratory diseases of chickens in real production environments. We collected 11,686 audio slices from actual farming environments, which were labeled through multiple rounds of annotations by veterinary experts, resulting in a high-quality dataset for model training. Additionally, we used Logfbank to capture critical audio features to assist model learning. We also designed five data augmentation techniques to prevent overfitting and improve model performance. Finally, we compared multiple models on an independent test dataset and selected RegNet as the best model, which achieved the highest accuracy of 96.03%. To validate the effectiveness of our approach, we compared the annotation results of SmartEars with seven veterinarians over the same dataset. The results demonstrated that SmartEars with an accuracy of 93% outperformed human veterinary experts with accuracy from 85% to 93%. SmartEars has been deployed in 3 large poultry farms located in Hebei, China, and it has successfully identified a number of outbursts of chicken diseases, such as a confirmed event around March 19, 2024, demonstrating the effectiveness of SmartEars.
DOI: 10.17632/x9tm7xtz7c.1
title: Supplementary Material for the JAAD-D-25-01133R1 Impact of personal sun sensitivity and UV radiation on the association between blistering sunburns and melanoma

description: Supplementary Methods, Supplementary Tables 1-4, and Supplementary Figure 1
DOI: 10.17632/9427ww7v22.1
title: Textual Functional Requirements of Software in Indonesian

description: This dataset consists of 15 functional requirements in Indonesian and English text form. The data were collected from the software requirement specification (SRS) documents of the mini-hospital, employee cooperative, and shop applications. Functional requirements in text form were collected from user stories in the SRS documents of each application. The dataset is also equipped with a BPMN diagram based on the results of generating the textual dataset
DOI: 10.17632/jmccbz9cw8.1
title: Vibrotactile feedback improves performance in 3-coupled trimanual tasks

description: We investigated how supplementary vibrotactile feedback can impact on the performance while completing a trimanual task. We engaged participants in trimanual reaching tasks that could be completed either alone or in collaborating dyads, by using virtual effectors that could be differently coupled together through virtual elastic links.
DOI: 10.17632/gwwx9yxs9d.1
title: ALEXI fRET central Mexico

description: This dataset contains 4-week moving average weekly relative evapotranspiration data, produced using the Atmosphere-Land Exchange Inverse (ALEXI) model, for central Mexico between latitudes 17.3N and 22.7N and longitudes 93.3W and 106.6W. The data cover the periods 2003–2011 and 2014–2023, with a spatial resolution of 0.05 degrees. Files are provided in GeoTIFF format, with filenames indicating the year and day of year (DOY) corresponding to the end of each 4-week composite period. The dataset was used in a regional evaluation of drought indices for detecting crop water stress (manuscript submitted to Journal of Hydrology: Regional Studies). Further details about the dataset can be found in the article.
DOI: 10.17632/ng4gdwhsj4
title: ARTICULOS

description: El objetivo de la investigación es describir los resultados de la aplicación de las Normas de Control Interno y su incidencia en el Subdirección de Talento Humano de la Empresa Pública EP Aguas del Chuno de Chone, con el fin de identificar su efectividad y optimizar su aplicación. Para ello, se utilizó como instrumento de análisis un checklist de cumplimiento con 19 preguntas, enmarcado en el componente 407 de la Administración de Talento Humano, de la normativa de la Contraloría General del Estado (CGE) y el marco COSO (Committee of Sponsoring Organizations of the Treadway Commission); este instrumento fue validado por expertos
DOI: 10.17632/ng4gdwhsj4.1
title: ARTICULOS

description: El objetivo de la investigación es describir los resultados de la aplicación de las Normas de Control Interno y su incidencia en el Subdirección de Talento Humano de la Empresa Pública EP Aguas del Chuno de Chone, con el fin de identificar su efectividad y optimizar su aplicación. Para ello, se utilizó como instrumento de análisis un checklist de cumplimiento con 19 preguntas, enmarcado en el componente 407 de la Administración de Talento Humano, de la normativa de la Contraloría General del Estado (CGE) y el marco COSO (Committee of Sponsoring Organizations of the Treadway Commission); este instrumento fue validado por expertos
DOI: 10.17632/dz343xw8jf.1
title: PONE-D-24-53651_Supporting files

description: Effect of mineral filler on Low velocity impact behaviour of Bi-directional Glass fibre/epoxy composites Exposed to varied temperature conditions
DOI: 10.17632/dz343xw8jf.2
title: PONE-D-24-53651_Supporting files

description: Effect of mineral filler on Low velocity impact behaviour of Bi-directional Glass fibre/epoxy composites Exposed to varied temperature conditions
DOI: 10.15468/dl.nr67za
title: Occurrence Download

description: A dataset containing 994276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Occurrence evidence, Living Specimen)",
 "Geometry POLYGON((-83.81571 10.91058,-84.35886 11.01571,-84.6392 11.13485,-85.04218 11.07528,-85.72199 11.28553,-85.78156 11.16989,-86.05366 10.99401,-85.92123 10.6496,-85.82782 9.67314,-85.64158 9.8884,-85.1143 9.53164,-84.89434 9.7459,-84.85009 9.78466,-84.79231 9.85452,-84.68259 9.82563,-84.64382 9.7704,-84.69795 9.67787,-84.67637 9.61717,-84.5695 9.53285,-84.53585 9.50981,-84.29639 9.47596,-84.27555 9.40452,-83.88497 9.21927,-83.68418 8.97831,-83.76642 8.60824,-83.58381 8.41716,-83.16053 8.31558,-82.94889 8.01928,-82.81103 7.9951,-82.74209 8.25148,-82.62419 8.87775,-82.75034 9.29825,-82.53052 9.55408,-82.54032 9.59916,-82.57363 9.63541,-82.65104 9.65305,-82.70983 9.6893,-82.87837 9.80689,-82.97636 9.96465,-83.12432 10.12436,-83.29971 10.28016,-83.41039 10.41557,-83.48019 10.56438,-83.55687 10.78608,-83.59687 10.87443,-83.66503 10.99118,-83.81571 10.91058))",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 994276 records from 305 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008694-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cnwxbw8x48.1
title: Complementary and Alternative Medicine in Dermatomyositis: A Scoping Review: Search Strategy

description: This figure includes the search strategy and methods for our scoping review.
DOI: 10.17632/zhpjxpnfp2.1
title: Data for: Post-Marketing Safety Analysis of Upadacitinib in Atopic Dermatitis: An FDA Adverse Reporting System (FAERS) Review of Boxed Warning Related Adverse Events

description: Supplemental Data Tables for "Post-Marketing Safety Analysis of Upadacitinib in Atopic Dermatitis: An FDA Adverse Reporting System (FAERS) Review of Boxed Warning Related Adverse Events"
DOI: 10.15468/dl.xnsnmt
title: Occurrence Download

description: A dataset containing 975046 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NatureServe Network Species Occurrence Data"
 ]
}

 The dataset includes 975046 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008698-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/43b6p5czjr.1
title: Complementary and Alternative Medicine in Dermatomyositis: A Scoping Review: PRISMA DIAGRAM

description: Preferred Reporting Items for Systematic Reviews and Meta-analyses Flow Diagram (PRISMA)
DOI: 10.17632/fkz7wv3f7y
title: bibliometric network analysis of studies using Flickr data 2010-2023

description: Excel dataset based on scopus data query.
DOI: 10.17632/fkz7wv3f7y.1
title: bibliometric network analysis of studies using Flickr data 2010-2023

description: Excel dataset based on scopus data query.
DOI: 10.17632/prnpcwtxmr.1
title: Declawing in cat is associated with neuroplastic sensitization and long-term painful deteriorations

description: Recent advancements in pain transmission and nociceptive processing research, both in healthy and pathological states, have provided valuable insights. Over the past decade, the Groupe de recherche en pharmacologie animale du Québec (GREPAQ®) has developed and validated several methods to study OA-related pain and impairment in cats through behavioral analysis and systems neurobiology. These include kinetic podobarometric gait analysis (PGA) using a sensitive walkway mattress, a standardized functional assessment scale named the Montreal Instrument for Cat Arthritis Testing, for use by Veterinarians (MI-CAT(V)), and quantitative sensory testing (QST) to assess sensory alterations. These tools have been shown to differentiate OA-affected cats from healthy controls (specificity), detect responses to treatment (sensitivity), and produce reliable results (reproducibility and repeatability). Additionally, nerve conduction studies can provide objective evidence of distal nerve dysfunction following onychectomy.
In this analysis, we hypothesized that these validated methods could be used to assess long-term post-onychectomy pain, with declawed OA (DOA) cats exhibiting more severe dysfunction than non-declawed OA (NDOA) cats. The main objectives of this study were to compare three populations of cats, assessed over a decade, i.e., DOA, NDOA, and healthy, non-declawed control (HC) cats, based on mobility impairment, MI-CAT(V) scores, QST results, and nerve conduction abnormalities in a subgroup of cats.
DOI: 10.17632/s2ptgmkptc.1
title: AI-Generated Animated Characters in Digital Marketing

description: This data is part of our research. However, partial dataset is uploaded here. If you need full dataset, please contact me. Thanks
DOI: 10.17632/37zb67r2xt.1
title: Reflectance confocal microscopy terminology for non-melanocytic skin lesions: A Delphi consensus of experts

description: Supplementary material for the JAAD manuscript "JAAD-D-25-00502R1 Reflectance confocal microscopy terminology for non-melanocytic skin lesions: A Delphi consensus of experts"
DOI: 10.17632/7wyjr8rc4h.1
title: Exorbitant Privilege? Quantitative Easing and the Bond Market Subsidy of Prospective Fallen Angels?

description: Replication files for Acharya, Banerjee, Crosignani, Eisert, Spigt, "Exorbitant Privilege? Quantitative Easing and the Bond Market Subsidy of Prospective Fallen Angels?" Journal of Financial Economics.
DOI: 10.17632/8vnk82rm44.1
title: switching topology to prevent cyberattack in ncs

description: This dataset includes all source code that I used to simulate my project.
DOI: 10.17632/8vnk82rm44.2
title: fault detection and prevention in control systems

description: This dataset includes all source code that I used to simulate my project.
DOI: 10.17632/p6hcnk5twy.2
title: Corporate Tax Rates as Signals to Foreign Investors

description: Replication package for the paper "Corporate Tax Rates as Signals to Foreign Investors." 
Our research hypothesis behind the estimations is that the CEE countries were sending signals of their favorable investment conditions to foreign firms through low tax rates. Specifically, we focus on the relationship between investment returns and tax rates.
DOI: 10.17632/p6hcnk5twy.3
title: Corporate Tax Rates as Signals to Foreign Investors

description: Replication package for the paper "Corporate Tax Rates as Signals to Foreign Investors." 
Our research hypothesis behind the estimations is that the CEE countries were sending signals of their favorable investment conditions to foreign firms through low tax rates. Specifically, we focus on the relationship between investment returns and tax rates.
DOI: 10.17632/p6hcnk5twy.1
title: Corporate Tax Rates as Signals to Foreign Investors

description: Replication package for the paper "Corporate Tax Rates as Signals to Foreign Investors." 
Our research hypothesis behind the estimations is that the CEE countries were sending signals of their favorable investment conditions to foreign firms through low tax rates. Specifically, we focus on the relationship between investment returns and tax rates.
DOI: 10.17632/p6hcnk5twy.4
title: Corporate Tax Rates as Signals to Foreign Investors

description: Replication package for the paper "Corporate Tax Rates as Signals to Foreign Investors." 
Our research hypothesis behind the estimations is that the CEE countries were sending signals of their favorable investment conditions to foreign firms through low tax rates. Specifically, we focus on the relationship between investment returns and tax rates.
DOI: 10.6084/m9.figshare.28836314
title: ISSM_COREQ_Checklist.docx

description: The document submitted is COREQ checklist, that used in the Qualitative research titled “<b>Empowering Healthcare Access: </b><b>Ethnographic Insights into Sustainable Solutions for a Particularly Vulnerable Tribal Group (PVTG) in South India- a Qualitative Research”</b>.
DOI: 10.17632/2bvmjz23f5.1
title: Dataset on the Intention to Use VirusTotal Among Indonesian Generation Z

description: This dataset includes 437 respondents who participated in this research study. From 437 respondents, 357 valid respondents are analyzed to find factors that influence the intention to use VirusTotal based on protection motivation theory & technology acceptance model
DOI: 10.17632/syschk729z.1
title: Data Bibliometric on Photojournalism (1960-2025)

description: This is CSV file from Scopus database that focus on single keyword "Photojournalism" articles during 1960-2025.
DOI: 10.17632/p2wrs7hm4z.1
title: Dataset for classifying English words into difficulty levels by undergraduate and postgraduate students 

description: The dataset has a total of 5372 unique words. The words marked as difficult at level 1 are 691; at level 2, they are 141; and all remaining words, viz., 4541, are easy and hence have difficulty level 0.  The  words are labeled "level 2" if they are difficult for post-graduate students, and "level 1" if they are difficult for undergraduate students. The words are labeled "level 0" if they are neither difficult for undergraduate students nor postgraduate students. The data is collected from the students of Jammu and Kashmir (a Union Territory of India). Latitude and Longitude (32.2778° N, 75.3412° E)

The ALL UG-PG word file contains the text from the IGNOU university English text book paragraphs used in questionnaires for collecting data.
The dataset_level CSV file is the original dataset.  
The dataset_numerical CSV file contains the original dataset along with string fields transformed into numerical.
DOI: 10.17632/p2wrs7hm4z.2
title: Dataset for classifying English words into difficulty levels by undergraduate and postgraduate students 

description: The dataset has a total of 5372 unique words. The words marked as difficult at level 1 are 691; at level 2, they are 141; and all remaining words, viz., 4541, are easy and hence have difficulty level 0.  The  words are labeled "level 2" if they are difficult for post-graduate students, and "level 1" if they are difficult for undergraduate students. The words are labeled "level 0" if they are neither difficult for undergraduate students nor postgraduate students. The data is collected from the students of Jammu and Kashmir (a Union Territory of India). Latitude and Longitude (32.2778° N, 75.3412° E)

The ALL UG-PG word file contains the text from the IGNOU university English text book paragraphs used in questionnaires for collecting data.
The dataset_level CSV file is the original dataset.  
The dataset_numerical CSV file contains the original dataset along with string fields transformed into numerical.