cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/98hkt6n59j
title: Ugandan Bird Vocalizations

description: A collection of electronic recordings of bird vocalizations from Uganda at 7 locations namely namely Bwindi impenetrable forest, Kibale forest national park, Matheniko game reserve, Moroto district, Kidepo National Park, Lake Mburo National Park, and Murchison Falls National Park. The work was supported by Google Inc under a Google Research Collabs Africa project entitled BASIS (Broad Avian Species Surveillance with Intelligent Sensing). The data is useful for creating machine learning models for Bioacoustic analysis and Sound analysis in general
DOI: 10.17632/c37jy6rkk5
title: Diagnostic validation of the 00325 Decreased Self-compassion

description: Results of the focal interviews with the university population of the Nursing degree for clinical validation of the NANDA-I Decreased Self-Compassion diagnosis
DOI: 10.17632/fjs5n265m3
title: Effects of coexisting surface waves on propagation of a surface wave train - Codes and Results

description: Mathematica and Matlab codes used in the study
DOI: 10.6084/m9.figshare.24903423.v1
title: Study Dataset

description: All the raw data of the three studies datasets
DOI: 10.17632/rp9v9mvc36
title: Time-Series Dataset of Mangroves along the Southern Coast of Vietnam between 2016 through 2023

description: Here, we provide a time-series dataset of mangroves along the Southern Coast of Vietnam, captured at multispectral indices of Sentinel-2 and deep learning model from 2016 through 2023. The generated performance metrics, including overall accuracy, precision, recall, and F1-score were above 95% for whole years. The dataset encompasses a series of temporal observations, allowing for the analysis of changes and patterns in mangrove vegetation over time. Users can explore the dataset to gain insights into the evolution and health of mangrove ecosystems in this specific geographical region. The data includes various parameters relevant to mangrove classification, offering a valuable resource for researchers, environmental scientists, and practitioners engaged in the study and conservation of coastal ecosystems.
DOI: 10.17632/7jsysgmbxr
title: Validation of STEM-CIS

description: This database includes the data, instrument, and output
DOI: 10.17632/dfxjk69h8m
title: Survey form- Fintech India Customer predispositions-Engagement-Advocacy

description: This word document contains the survey questionnaire that was administered out to 380 participants to conduct the empirical study by getting their responses involving customers’ overall perceptions about self-concept, emotions, perceived cost and benefits, moral identity, communal focus, engagement and their advocacy behaviours in the Indian FinTech industry.
DOI: 10.17632/k4hc246ckn
title: Dataset of electric scooters with their specifications

description: This data article describes a dataset consisting of 42 electric scooters available on the Polish market. There are many models of electric scooters that are easily customizable, but for consolidation purposes the dataset contains the most common and widespread variants of the model. Each observation represents a particular electric scooter model and have an identifiable variable (ID) which arose from the manufacturer’s name and its model. The data of the described scooters come from their manufacturers, which have been published on official websites, and if they do not exist, they come from confirmed information on Polish and foreign websites (mostly e-stores), where individual models are sold. Due to the small amount of data in this industry and interdependent branches that can be applied to scientific and educational elements, this dataset can play an important role in the development of science, further research and applications in scientific fields such as revenue management, machine learning, or data mining.
DOI: 10.17632/xfby2gf6kp
title: Benthic imagery from nearshore drop camera surveys along Eastern Shore (Nova Scotia, Canada) to characterize shallow subtidal habitats

description: The Department of Fisheries and Oceans Canada (DFO) conducted nearshore drop camera surveys between 2019 and 2020 to characterize the distribution and abundance of seagrass, kelp, and other benthic macroalgae along the Eastern Shore of mainland Nova Scotia. Surveys were designed to address data gaps and support mapping work (species distribution modelling, remote sensing) to inform conservation and marine spatial planning in the Eastern Shore Islands Area of Interest and Goldboro area. Still images extracted from video transects were analyzed to evaluate the abundance (% cover) of eelgrass (<i>Zostera marina</i>), 8 species or genera of large brown macroalgae (<i>Saccharina latissima</i>, <i>Laminaria digitata</i>, <i>Agarum clathratum</i>, <i>Alaria esculenta</i>, <i>Saccorhiza dermatodea</i>, <i>Desmarestia</i> spp., <i>Fucus</i> spp., <i>Ascophyllum nodosum</i>), an invasive green alga (<i>Codium fragile</i> ssp. <i>fragile</i>), 5 functional groups of benthic macroalgae (filamentous turf algae, coarsely-branched turf algae, articulated coralline algae, encrusting algae, and foliose algae), detrital material, and 5 bare substrate cover categories (mud/sand, pebbles, cobbles, boulders, bedrock). In this Version 1, we report general geolocations and image labels describing the dominant cover component per image. Specific locations will be provided in a future update.
DOI: 10.6084/m9.figshare.28919849.v1
title: Base de datos RUTINAS PRENSA (PUBLICADO).sav

description: This database records the responses of 195 Spanish print journalists. Through the different variables, data is obtained on the professional routines and the education and training in the field of data contrast of journalists working in the Spanish press. For this purpose, it was provided online at national level between May and June 2023.
DOI: 10.17632/2ptns5yhzh
title: Mouse Endometriosis lesion IMC Dataset Lingegowda et al 2024

description: Endocannabinoids and their receptors modulate endometriosis pathogenesis and immune response (https://doi.org/10.1101/2023.10.11.561929)
Endometriosis (EM), characterized by the presence of endometrial-like tissue outside the uterus, is the leading cause of chronic pelvic pain and infertility in females of reproductive age. Despite its high prevalence, the molecular mechanisms underlying EM pathogenesis remain poorly understood. The endocannabinoid system (ECS) is known to influence several cardinal features of this complex disease including pain, vascularization, and overall lesion survival, but the exact mechanisms are not known. Utilizing CNR1 knockout (k/o), CNR2 k/o and wild type (WT) mouse models of EM, we reveal contributions of ECS and these receptors in disease initiation, progression, and immune modulation. Particularly, we identified EM-specific T cell dysfunction in the CNR2 k/o mouse model of EM. We also demonstrate the impact of decidualization- induced changes on ECS components, and the unique disease-associated transcriptional landscape of ECS components in EM. Imaging Mass Cytometry (IMC) analysis revealed distinct features of the microenvironment between CNR1, CNR2, and WT genotypes in the presence or absence of decidualization. This study, for the first time provides an in-depth analysis of the involvement of the ECS in EM pathogenesis and lays the foundation for the development of novel therapeutic interventions to alleviate the burden of this debilitating condition.
DOI: 10.17632/czcs9dpmdr
title: Dataset: Bicycle Mobility Patterns and Network

description: This dataset offers a comprehensive collection of data regarding bicycle sharing systems. It encompasses synthetic variety of a wide range of attributes, including bicycle types such as BMX, normal, and hill bikes, user demographics such as age, and daily distances traveled by users. Additionally, the dataset incorporates environmental factors such as weather conditions and terrain types, providing valuable insights into user behaviors and preferences within bicycle sharing networks.
DOI: 10.17632/mjtyry6v85
title: Simulation ready vascular tracing data from adult mouse brains 2022

description: The file contains fully traced cerebrovasculature from four adult mice brain. This dataset is ready for fluid dynamic simulation or other secondary analysis. The traced matlab (.mat) file contain all the vasculature graph.
DOI: 10.6084/m9.figshare.25358383.v2
title: Working_Database.xlsx

description: This is a dataset.
DOI: 10.17632/5f2n562snz
title: Sustainable Innovation Publication Dataset (1993-2019)

description: The sustainable innovation reseach & publication dataset, which was indexed by Scopus from 1993 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/d7vx5cc92y
title: Indonesian Dataset Expansion of Microsoft Research Video Description Corpus and Its Similarity Analysis

description: Microsoft research video description corpus is an openly dataset contains about 120K sentences. The sentences are a set of roughly parallel descriptions of more than 2,000 video snippets of 35 languages. Both paraphrase and bilingual relation are available but Indonesian description is not available in the dataset. This dataset is Indonesian expansion of Microsoft research video description corpus. The collection consists of 43,753 description texts of 1,959 short videos, parallel with Microsoft’s dataset. Adding more value to the dataset, the similarity metrics calculations of the texts are done. The metrics are cosine, jaccard, euclidian, and manhattan with average results are 0.22, 0.33, 2.38, and 6.08 respectively.
DOI: 10.17632/fvp5b222tf
title: Mendele Dataset - ICT paper

description: The first dataset was used to construct information communication technology (ICT) index using principal component analysis to construct while the second dataset was used to analyse the interactive effect of renewable energy and ICT on carbon emissions.
DOI: 10.17632/kt9gpd9tbm
title: Data for: Where did the time (series) go? Estimation of marginal emission factors with autoregressive components

description: time series data on emissions and electricity output
DOI: 10.17632/sh6bngkjtw
title: Raw Data on Different Salinity Effects on the Cultivation of Procholoron sp.

description: The data in this article describes the effect of different salinities on the growth of Prochloron cells outside hosts. The cultivation was performed in enriched standard culture media with continuous photoperiod. The culture stock of Prochloron cells which was made as inocula (starter) in the laboratory was isolated from tunics of an ascidian Lissoclinum patella.
DOI: 10.17632/b24d2gbfpp
title: In search of microbial indicators of marine ecosystem health: using taxonomy as a potential endpoint

description: Numerical data showing concentrations of metals (As, Ba, Bi, Cd, Co, Cu, Cr, Mn, Ni, Pb, Sb, Sn, Zn - shown as EF= enrichment factors), Hg, TBT, total nitrogen and phosphorus and toxicity level (EC50, Microtox test) measured in 67 surface sediment samples collected in ten polluted areas in the northern Adriatic (Croatia): port of Pula (mark PU), port of Rijeka (mark RI), Raša Bay (mark RA), Bakar Bay (mark BA), and in the southern Adriatic (Croatia): Šibenik Bay (mark SI), eastern part of Kaštela Bay - Vranjic Basin (mark VR), and port of Split (mark ST) as well as in reference areas: Cape Kamenjak (mark CK), Zlarin Island (mark CZ) and Vis Island (mark CV).
DOI: 10.17632/t5bffpjd28
title: Data for: Building an Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier

description: This dataset contains the preprocessed subsets of the original NSL-KDD, AWID, and CIC-IDS2017 datasets. First, we selected the subset from the original sets , and the stastic information can bee seen in our paper "Building An Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier". Then, we utilized our proposed CFS-BA algorithm to select different features and constructed the different .csv files.
DOI: 10.17632/4pw8vfsnpx
title: Clouds-1000

description: Clouds-1000 is a dataset of 1000 sky images captured with cameras directed towards the horizon in the north and south directions in an area with a good view of the sky in the UFSC Photovoltaic Laboratory at the Federal University of Santa Catarina, in the city of Florianópolis/SC-Brazil. The images were collected every minute over the period of March–October of 2021. Each image was annotated with a polygon tool and classified using 4 cloud types: Cirriform, Cumuliform, Stratiform, and Stratocumuliform, and 1 class representing trees and buildings. This classification is based on the solar radiation absorption characteristics of clouds. 

For the task of image annotation, our research team was divided into 3 Data Analysts responsible for analyzing and labeling the images, and 2 meteorologists responsible for supervision and validation. Sylvio Mantelli is a PhD from INPE, working on our research team and helped with data labeling mentoring and several analysis throughout development of the dataset. Maurici Amantino Monteiro, professor and currently climatologist at Aqueris Engenharia e Soluções Ambientais. With several years of experience in synoptic observation, he helped us to understand the nature of clouds and associate them with their corresponding classes.

The annotations were handmade using the Supervisely tool. The tool was created for image annotation and data management in which it's possible to create the annotations via interface available, similar to other image editors. Each image was annotated with the polygon tool and classified using 4 cloud types: Cirriform, Cumuliform, Stratiform, Stratocumuliform and 1 class representing trees and buildings. This classification is based on solar radiation absorption characteristics. Due to the humid climate of the region, the Cumulonimbus (Cb) cloud seldom forms. This type of cloud usually form in dryer regions, thus we won't find any occurrence of this cloud in the dataset.

The dataset faced several validations and during an inspection we found 4 images that were either partially annotated or missing annotation entirely. Therefore, the latest and current version of the Clouds-1000 dataset is composed of 996 fully hand-annotated images.

For more information see the github repository.
DOI: 10.17632/yd5xfcyd4k
title: Entrepreneurial Risk Management: Analyzing Essential Tools and Techniques for Startup Success in Dynamic Markets

description: The updated data includes raw survey responses from entrepreneurs, a detailed questionnaire, and the analyzed results. The questionnaire features close-ended questions about the risk management of entrepreneurship and the essential tools and techniques for the success of startups.
DOI: 10.6084/m9.figshare.24146529.v1
title: Terrestrial mammal register camera trapping in Galicia

description: Although most mammals live in terrestrial environments, it is difficult to see them in the wild. However, there is a wide variety of techniques for their detection. Currently, camera trapping is the most widely used non-invasive detection technique. Thus, we used this methodology to determine the optimal variables to carry out mammals’ camera trapping assessments in the wild. From 2016 to 2020, we placed 20 camera traps in Os Montes do Invernadeiro Natural Park (Ourense, Galicia), from which we obtained 8,044 records (photographs and videos). We obtained significant differences between records frequencies in each category of climatic environmental and seasonal variables according to the mammal species. As well, the atmospheric mean temperature, location and period were the most determinant variables to correlate detection events of different mammal species. On the basis of a generalized lineal model (GLM) we obtained a great number of events in deciduous and pine forests, during summer and autumn, and on nights of waxing and waning quarters; of both predators, which appear in locations with crossroads, and prey, which avoid these crossroads. Therefore, it can be stated that there are optimal climatic, environmental and seasonal conditions to carry out camera trapping studies on mammal species.
DOI: 10.17632/46n94cngkx
title: Multi_layer graph plant leaf segmentation

description: We showcase the results of our graph-based diffusion technique utilizing random walks with restarts on a multi-layered graph using the publicly accessible Pl@ntleaves (H. Go¨eau, P. Bonnet, A. Joly, N. Boujemaa, D. Barth´el´emy, J.-F. Molino, P. Birnbaum, E. Mouysset, M. Picard, The clef 2011 plant images classification task, Vol. 1177, 2011.) dataset. This dataset comprises 233 high-resolution leaf images taken in their natural environments, presenting various segmentation challenges such as shadows, diverse lighting conditions, and leaf overlap. Our method primarily focuses on identifying leaf regions by initially locating the leaves within the images and then propagating intensity scores from foreground templates to image boundaries to generate saliency maps. By applying a threshold to these saliency maps produced through the diffusion process, we derive binary masks that effectively separate the leaves from the backgrounds. Ground truth images are provided for visual evaluation of our algorithm's performance.Folders description: image: RGB images mask: Ground truth masks FG_templates: foreground templates and bounding boxes defined on dataset images 
Salinecy_map: saliency maps obtained by our approach PR_masks: Predicted masks obtained by tresholding our salinecy maps Plant_Leaf_Segmentation: a compressed folder containing the above folders.
DOI: 10.17632/dygk3rcgy6
title: Data supporting: Heatwaves, elevated temperatures, and a pesticide cause interactive effects on multi-trophic levels of a freshwater ecosystem

description: Data used to obtain the results of the research paper entitled: "Heatwaves, elevated temperatures, and a pesticide cause interactive effects on multi-trophic levels of a freshwater ecosystem", published in the journal "Environmental Pollution". The data derives from an indoor (micro-) cosm experiment in which the transportable temperature and heatwave control device (TENTACLE) was used to investigate the effects of two different temperature scenarios (i.e., elevated temperature and reoccurring heatwaves) in combination with the fungicide carbendazim.
DOI: 10.17632/nxtcnbyvxv
title: local thermal environment

description: The study explores the impact of urbanization on local thermal environment and the subsequent response of built environment.The primary section presents a satellite based study on the chosen location. It was noted that the built up area has increased by 45.67 percent during the period 1995-2020.With this increase, a corresponding rise in surface temperature is observed and the thermal intensity increases with the increase in built density.Later portion of the study demonstrates,a Local Climate Zone (LCZ) based detailed onsite measurement of thermal environment with calibrated instruments (LP02 pyranometer and IR02 pyrgeometer). It was observed that,apart from the built density, the local thermal environment of a location gets altered by the local climate zone morphology. In addition, a performance analysis of built environment carried out in LCZ-2, LCZ-5 and LCZ-9 representing high, medium and low density respectively using HFP01 heat flux sensor, shows notable variations from each other. The final section presents an analytical study, using CFD tool- ENVIMET, which explores the impact of urban built morphology on thermal performance of built environment. It was noted that,urban morphology variables such as surface characteristics and orientation significantly impact the thermal performance of the built environment, followed by H/W ratio and SVF in lesser levels. The study also highlights the impact of seasonal variations on thermal performance of the built environment in local climate zones.
DOI: 10.17632/x26nbkdjj3
title: Transcriptomics data on dual G9a and DNMT inhibition, using the proprietary drug CM-272, in the MO4 melanoma mouse model (DATASET 1) - INHIBITING HISTONE AND DNA METHYLATION IMPROVES CANCER VACCINATION IN AN EXPERIMENTAL MODEL OF MELANOMA. De Beck, et al.

description: This dataset contains transcriptomics data on dual G9a and DNMT inhibition in the MO4 melanoma mouse model, related to the original research manuscript: INHIBITING HISTONE AND DNA METHYLATION IMPROVES CANCER VACCINATION IN AN EXPERIMENTAL MODEL OF MELANOMA. De Beck, et al. - under review.

(a) Multiplex gene expression analysis on ex vivo tumor tissue. Tumors of MO4 tumor-bearing mice subjected to the CM-272 treatment regimen were resected at 706.9±193.8 mm3 tumor volume and subjected to multiplex gene expression analysis using the nCounter PanCancer Mouse Immune Profiling Panel on the nCounter MAX Analysis System. Sample annotation is provided in the annotation file.

(b) MO4 cells were treated for 24 hours with 1µM CM-272 or vehicle before RNA was extracted for sequencing. Samples are identified as follows: vehicle condition (RNA-LienDB-A1_S37 and RNA-LienDB-A3_S39) or CM-272 treatment condition (RNA-LienDB-A2_S38 and RNA-LienDB-A4_S40). ---- Dataset completed at "Transcriptomics data on dual G9a and DNMT inhibition, using the proprietary drug CM-272, in the MO4 melanoma mouse model (DATASET 2) - INHIBITING HISTONE AND DNA METHYLATION IMPROVES CANCER VACCINATION IN AN EXPERIMENTAL MODEL OF MELANOMA. De Beck, et al.
DOI: 10.6084/m9.figshare.28574579.v1
title: Supplementary Material for: The eradication of Blastocystis spp. subtype 3 improves the course of chronic spontaneous urticaria

description: Background: The role of Blastocystis spp. subtypes (STs) in chronic spontaneous urticaria (CSU) and the impact of the eradication are unclear. 
Objective: To investigate the role of Blastocystis spp. STs in CSU and the impact of the eradication on disease activity. 
Methods: Stool samples from 295 CSU patients and 38 healthy controls (HCs) were searched for Blastocystis spp. by direct microscopy. Fifty-seven samples from patients and 12 samples from HCs were analyzed for ST distribution by DNA sequencing. DNA sequencing was only performed in samples detected by Real Time (RT)-polymerase chain reaction (PCR). The patients and HCs with Blastocystis spp. formed groups A and B, respectively. Anti-parasitic agents were used to eradicate the parasite in group A. Urticaria medication scores (MSs), urticaria activity score-7 (UAS7), blood eosinophil and basophil counts, total IgE values were compared between groups having different STs at the beginning and six months after the eradication. The subjects who were not taking any medication for the CSU such as antihistamine, montelukast, anti-IgE treatment or cyclosporin had no active urticarial lesions during a 6-month period were considered to be in remission.
Results: The parasite was detected in 45.7% (n=135) of the CSU patients and 34.2% (n=13) of the HCs. Fifty-seven samples (85.1%) in 67 CSU patients and 12 samples (92.3%) in 13 HCs revealed positive RT-PCR and formed groups A and B, respectively. ST3 was more frequent in group A (p&lt;0.001) whereas ST1 was more common in group B (p&lt;0.001). The patients having ST3 in group A formed subgroup A1 and other STs in group A formed subgroup A2. After the parasite eradication, the CSU remission rate was higher (p=0.031) and the control values of UAS7, MSs were lower (p=0.028, p=0.049) in subgroup A1 than A2. 
Conclusion: Although the presence of Blastocystis spp. ST3 does not worsen CSU, its eradication improves the CSU symptoms.
DOI: 10.17632/7sgjcvjpt9
title: mTORC1 promotes cell growth via m6A-dependent mRNA degradation