cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12486479.v1
title: Raw data for Supplementary methods and Figure 3 and 4

description: Pseudotyped viruses are useful virological tools due to their safety and versatility. Based on a VSV pseudotyped virus production system, we developed a pseudotyped virus-based neutralization assay against SARS-CoV-2 in biosafety level 2 facilities. Compared with the binding antibody test, the neutralization assay could discriminate the protective agents from the antibody family. This protocol includes production, titration of the SARS-CoV-2 S pseudotyped virus and neutralization assay based on it. Various types of samples targeting virus attachment and entry could be evaluated for their potency, including serum samples derived from animals and humans, monoclonal antibodies, fusion inhibitors (peptides or small molecules). If the pseudotyped virus stock has been prepared in advance, it will take 2 days to get the potency data for the candidate samples. Experience of handling cells is needed before implementing this protocol.
DOI: 10.6084/m9.figshare.21378774.v1
title: Phoenix theophrasti chorology

description: Distribution map of <em>Phoenix theophrasti</em>. <br> These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature. The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). <br> Please cite as: Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br> Additional information and used references are on 'supplementary materials' document: https://doi.org/10.6084/m9.figshare.5091901 <br> Chorological maps are part of the "European Atlas of Forest Tree Species" project: https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.6084/m9.figshare.7551053.v1
title: TrachomaImages

description: Data for trachoma article.<br>
DOI: 10.6084/m9.figshare.15051894.v1
title: DATA_Gap_Plasmon_Chemistry.zip

description: Raw data<br>
DOI: 10.6084/m9.figshare.21498201.v1
title: Bulk skin RNA sequencing dataset and code

description: This folder contains the dataset and R code for analyzing the bulk skin RNA sequencing on male female irradiated and control skin. <br> cts_Female.csv: gene counts of female no UVB and UVB samples Female.txt: sample index (Control or UV) of Female cts_male.csv: gene counts of male no UVB and UVB samples Male.txt: sample index (Control or UV) of Male DESeq2_Male.R: R code for analyzing male samples DESeq2_Female.R: R code for analyzing female samples UVSex.R: R code for comparing the gene regulation changes in Males over females.
DOI: 10.6084/m9.figshare.964802.v1
title: Sorting/selecting data in Excel with VLOOKUP()

description: Example of how I use MS Excel's VLOOKUP() function to filter my data.
DOI: 10.17632/hkjpmb9gsd
title: Data from: Association between physiological performance and short temporal changes in habitat utilisation modulated by environmental factors

description: This dataset comprises all raw data used in Dubuc et al., 2021 published in Marine Environmental Research. For additional information regarding the methods used to calculate the different metabolic variables, please refer to the published article: https://doi.org/10.1016/j.marenvres.2021.105448 Respirometry experiments were run on 4 different fish species to determine their metabolic performance in hypoxia. This excel file provides detailed values obtained for each individual fish tested as follow: Species tested, trial and channel number during experiments, fish mass, standard metabolic rate (SMR), critical oxygen level (O2crit), R2 for the linear regression involved in determining O2crit, index of cumulative ambient oxygen deficit (O2deficit), incipient lethal oxygen level (ILO), actual time at O2crit, actual time at ILO, time to ILO (hour), time to ILO (seconds), maximum oxygen supply capacity (alpha). Additionally, all figures obtained from determining SMR and O2crit using fishMO2 R package (Claireaux & Chabot 2016) are provided for complete transparency.
DOI: 10.6084/m9.figshare.22790615.v2
title: flowsets map .kmz file

description: Flowset maps of the southwestern Laurentide Ice Sheet (available here as a .kml file).
DOI: 10.6084/m9.figshare.7546706.v1
title: Supplementary Material for: Intracardiac Extension of Wilms Tumor: A Case of a 2.5-Year-Old Girl Presenting with Upper Venous Congestion Caused by Tumor Growth into the Right Cardiac Ventricle

description: While Wilms tumors (WT) typically present solely with an abdominally palpable mass, rare cases exhibiting vascular tumor growth can also present with circulatory problems. Here, we report the case of a 2.5-year-old girl presenting with upper venous congestion and arterial hypertension as the primary symptoms of intraventricular tumor growth exhibiting remarkable tubular and perfused morphology. Clinical situation stabilized after initiation of neoadjuvant chemotherapy (NAC) with actinomycin D and vincristine, followed by surgical resection via laparotomy and sternotomy supported by cardiopulmonary bypass and deep hypothermia. Our results highlight the previously reported feasibility of this approach, even in primarily unstable patients.
DOI: 10.6084/m9.figshare.7600001.v2
title: Dy(III) complexes of metformin Schiff-bases as glucose probe: synthesis, spectral, and thermal properties

description: Complexes of Dy<sup>3+</sup> with metformin-Schiff-bases of salicylaldehyde (HL<sup>1</sup>); 2,3-dihydroxybenzaldehyde (H<sub>2</sub>L<sup>2</sup>); 2,4-dihydroxybenzaldehyde (H<sub>2</sub>L<sup>3</sup>); 2,5-dihydroxybenzaldehyde (H<sub>2</sub>L<sup>4</sup>); 3,4-dihydroxybenzaldehyde (H<sub>2</sub>L<sup>5</sup>); and 2-hydroxynaphthaldehyde (HL<sup>6</sup>) were synthesized by template reactions. The new compounds were characterized through elemental analysis, conductivity and magnetic moment measurements, IR, UV–vis, fluorescence, GC–MS, and XRD spectroscopies. The complexes are seven coordinate with formulas [DyL<sup>1–4,6</sup>(NO<sub>3</sub>)<sub>2</sub>(H<sub>2</sub>O)<sub>2</sub>]·<i>n</i>H<sub>2</sub>O where <i>n</i> = 2, 2½, 4, 2, 2 and [DyL<sup>5</sup>(NO<sub>3</sub>)(H<sub>2</sub>O)<sub>4</sub>]·2H<sub>2</sub>O. TGA, DTG, and DTA analyses confirmed the suggested stereochemistry and subsequently the proposed mechanism of thermal decomposition. Kinetic and thermodynamic parameters were calculated for the second decomposition step. Thus, we report the ability of using the prepared complexes in the detection of glucose at physiological conditions using UV–vis and fluorescence spectroscopy as well as viscosity measurements, where the association constants were calculated.
DOI: 10.6084/m9.figshare.8182703.v1
title: S4 Table: Specimen information and barcode results for plants.

description: Specimen information and barcode results for plant sequences when searched against GenBank and BOLD.<br>
DOI: 10.17632/8chrjdxn79
title: RoseLeafInsight: A High-Resolution Image Dataset for Rose Leaf Disease Recognition

description: RoseLeafInsight is a meticulously curated high-resolution image dataset designed for the classification and recognition of various rose leaf conditions using machine learning and computer vision techniques. This dataset includes four categories of rose leaves: Healthy, Black Spot, Insect Hole, and Yellow Mosaic Virus, providing a diverse set of images for disease detection and automated plant health monitoring. Each category is well-represented, ensuring a balanced dataset suitable for developing deep learning models for classification, segmentation, and disease detection tasks.

Dataset Composition:
The dataset consists of a total of 3,228 high-resolution images, distributed across the following categories:
 1. Healthy Leaf: 1,686 images
 2. Black Spot: 409 images
 3. Insect Hole: 453 images
 4. Yellow Mosaic Virus: 680 images

The extended dataset (by augmentation) consists of a total of 12,000 high-resolution images, distributed across the following categories:
 1. Healthy Leaf: 3,000 images
 2. Black Spot: 3,000 images
 3. Insect Hole: 3,000 images
 4. Yellow Mosaic Virus: 3,000 images

Geographical Location of Data Collection:
The rose leaf images were collected from two distinct locations in Bangladesh, ensuring diversity in environmental conditions and plant health variations:
 1. Zailla, Singair, Manikganj
 - Latitude: 23°47'46.11"N
 - Longitude: 90°13'15.73"E

 2. Golap Gram, Sadullapur-Komolapur, Road Birulia Bridge, Dhaka 1216
 - Latitude: 23°50'6.108''N
 - Longitude: 90°18'31.5108''E
These locations are known for their extensive rose cultivation, making them ideal for collecting a dataset that captures real-world variations in rose leaf health and disease conditions.

Preprocessing Details:
To enhance model performance and standardize input images, the following preprocessing steps were applied:
 • Resizing: All images were resized to 3000 × 3000 pixels for uniformity.
 • Background Removal: Unwanted backgrounds were eliminated to focus on leaf features.
 • Brightness Enhancement: The brightness of each image was adjusted by a factor of 1.2 to improve visibility and contrast.

Potential Applications:
RoseLeafInsight is ideal for training and evaluating machine learning and deep learning models in various applications, including:
 • Automated plant disease detection systems
 • Smart agriculture and precision farming
 • Image-based disease diagnosis for plant pathology research
 • Transfer learning and fine-tuning deep learning models for plant health classification

This dataset provides a valuable resource for researchers, agronomists, and AI practitioners seeking to develop robust solutions for real-time rose leaf disease detection.
DOI: 10.17632/k38sfd28py
title: A customizable digital holographic microscope

description: We propose a low-cost, compact, and portable holographic microscope designed for the characterization of micrometric particles suspended in a liquid. 
This system is built around a commercial optical microscope by substituting its illumination source (a light-emitting diode) with a collimated laser beam. Similarly, a quartz flow cell replaces the microscope glass slide using 3D-printed custom mounting.
With the hardware presented in this paper, the holographic imaging of the electromagnetic fields emitted by the objects that intercept the laser beam achieves a resolution close to that achieved with optical microscopes, but with a much larger depth of field.
Once a hologram is recorded, a variety of morphological and optical features, including particle projected section, aspect ratio, and extinction cross-section can be extracted.
Additionally, we introduce a remote system control that enables users to process the acquired holograms to a remote computational device. 
This work encompasses a comprehensive description of the methodology of the image processing in holographic microscopy, and a series of validation measurements conducted using calibrated particles. This technique is suitable for the characterization of airborne particles found in snow, firn and ice; here we report experimental results obtained from Alpine ice cores.

We include the 3d printer design files, the Holography tutorial in jupyter, and the files to control remotely the camera, the Pycamera project in python
DOI: 10.6084/m9.figshare.1060443.v17
title: Virtual Intracranial Stenting Challenge 2011: Input data

description: Input data provided to the participants of the Virtual Intracranial Stenting Challenge 2011 (VISC'11). Fileset content: * surface.stl: STL surface mesh (in mm) of vascular geometry * ccs*.stl, ocs*.stl: STL surface meshes (in mm) of deployed stent geometries * geometry.pdf: Image of vascular and stent geometries with labels for inlets/outlets and regions-of-interest * challenge_instructions.txt: Instructions to challenge participants, including flow rate boundary conditions and blood properties More details on VISC'11: Cito S, Geers AJ, Arroyo MP, Palero VR, Pallarés J, Vernet A, Blasco J, San Román L, Fu W, Qiao A, Janiga G, Miura Y, Ohta M, Mendina M, Usera G, Frangi AF. Accuracy and Reproducibility of Patient-Specific Hemodynamics Models of Stented Intracranial Aneurysms: Report on the Virtual Intracranial Stenting Challenge 2011. Annals of Biomedical Engineering, 43(1):154-167, 2015. Contact: Arjan Geers (ajgeers@gmail.com) Links: * http://dx.doi.org/10.6084/m9.figshare.1060453 : FigShare fileset "VISC'11: Particle imaging velocimetry data" * http://dx.doi.org/10.6084/m9.figshare.1060464 : FigShare fileset "VISC'11: CFD solutions group E" * https://github.com/ajgeers/visc11 : GitHub repository with code to reproduce the plots of the journal paper
DOI: 10.17632/sn5dpnzc83
title: The Lake Tahoe Basin Stream Catchment Database: A resource for water quality monitoring in the basin

description: Although the Lake Tahoe Basin and its receiving waterbody, Lake Tahoe, are intensively monitored, managed, and studied, there has been no centralized resource for evaluating variation in environmental characteristics among watersheds (i.e., catchments). To address this opportunity, we compiled and calculated 161 variables for 60 non-overlapping contiguous watersheds draining to Lake Tahoe . Watershed-scale variables include climatic, topographic, vegetation, edaphic, hydrologic, and anthropogenic characteristics. Data were downloaded from publicly-available sources including: the National Elevation Dataset, USDA SSURGO soils, Calfire FRAP dataset of fire perimeters, the National Land Cover Dataset, and the Rangeland Analysis Platform. We compiled data in a Geographic Information System at the scale of the watershed. Existing and custom scripts were used to process data and derive variables that could not be obtained from existing databases. These data will be useful for environmental managers and scientists who work in the Lake Tahoe Basin and can assist with future site selection intended to span environmental gradients.
DOI: 10.6084/m9.figshare.25999156.v1
title: HLCA dataset

description: HLCA dataset used for benchmarking feature selection for integration in H5AD format. Files contain the full raw dataset, the processed batches used to create the reference and the processed batches used as a query.Note: These files have been saved with compression to reduce file size. Re-saving without compression will reduce reading times if needed.If used, please cite:Sikkema L, Ramírez-Suástegui C, Strobl DC, Gillett TE, Zappia L, Madissoon E, et al. An integrated cell atlas of the lung in health and disease. Nat Med [Internet]. 2023;29:1563–77. Available from: http://dx.doi.org/10.1038/s41591-023-02327-2
DOI: 10.17632/7yxnnpv4jr
title: Do dividend announcements override the pandemic impacts? An evidence from the BSE 500 constituent firms

description: The data contains closing prices and log-returns of 169 BSE500 constituent companies which declared final dividend during the year 2020 and 163 BSE500 constituent companies which had previously declared final dividend during the year 2019. The data has been collected from ProwessIQ and the BSE Website. The dividend announcements from January 2019 to December 2020 have been collected from www.moneycontrol.com. The firms with regular trading history and those having a sufficient number of trading days as per our estimation and event window have been included in the sample. We calculate the daily returns using the formula LN[(Ct-1)/Ct] in excel. In this data, we provide the complete sample list, closing prices, and daily log returns.
DOI: 10.17632/cmz64db492
title: Data related to the study "Evaluation of possible adverse effects in broiler chickens supplemented with ibuprofen or meloxicam".

description: The data presented in this study pertain to the investigation of incorporating non-steroidal anti-inflammatory drugs, specifically meloxicam or ibuprofen, into the diet of male broilers from the Cobb 500 strain, throughout a 42-day lifespan. The objective of this study was to assess the safety of administering ibuprofen or meloxicam to broiler chickens over a 42-day period and to determine whether these drugs have the potential to enhance broiler performance, similar to growth promoters. The statistical analysis of the obtained data was conducted using GraphPad Prism 5.00 software (GraphPad Software, Inc., San Diego, CA, USA), with a significance level set at P&lt;0.05. Parametric data were analyzed using analysis of variance, followed by the Dunnett post hoc test. In cases where homoscedasticity was not confirmed, the Kruskal‒Wallis analysis of variance was applied, followed by the Dunn test. The results indicate the absence of adverse effects and the non-toxicity of the administered doses to the animals. However, caution should be exercised when considering ibuprofen as a potential substitute for growth promoters, as there are indications of incipient renal alterations. Moreover, no statistically significant improvement in broiler weight gain was observed. To obtain a more comprehensive assessment of zootechnical indices, further studies with refined experimental designs involving a greater number of repetitions and birds are recommended.
DOI: 10.17632/gmd86p775b
title: Data for: Bipolar resistive switching characteristics of PbZrO3/LaNiO3 heterostructure thin films prepared by a sol-gel process

description: Data for: Bipolar resistive switching characteristics of PbZrO3/LaNiO3 heterostructure thin films prepared by a sol-gel process
DOI: 10.6084/m9.figshare.14046959.v1
title: Georeferencing fossiliferous localities from Solimões and Acre Basins (Brazil) - what we know so far about Solimões Formation and future perspectives

description: This is the Supplementary Material of the paper entitled "Georeferencing fossiliferous localities from Solimões and Acre Basins (Brazil) - what we know so far about Solimões Formation and future perspectives" by Mauro Lacerda, Pedro Romano, Kamila Bandeira, and Lucy Souza. <br> The informations provided here are an inextricable part of the abovementioned paper and anyone who wishes to publish results using these information should cite Lacerda et al. (2021). <br> Several fossiliferous localities included in the present database refer to the literature produced by the Brazilian paleontologist Diogenes de Almeida Campos. Therefore, it is not by chance that the work is part of a special volume of the Anais da Academia Brasileira de Ciências (Annals of the Brazilian Academy of Sciences) in his honor. <br>How to cite:<br><b><br></b><b>LACERDA MBS, ROMANO PSR, BANDEIRA KLN & SOUZA LG.</b> 2021. Georeferencing fossiliferous localities from Solimões and Acre Basins (Brazil) - what we know so far about Solimões Formation and future perspectives. An Acad Bras Cienc 93: e20201462. DOI 10.1590/0001-3765202120201642.<br><br>
DOI: 10.6084/m9.figshare.7583960.v2
title: Photoconversion of Hoechst

description: The data set provided is a time series of image stacks showing the 405 nm laser-induced emission change of the DNA intercalating dye Hoechst from blue to green in living U2OS cells.<br> <br>It is part of the following research note:<br>Hurst V and Gasser SM. The study of protein recruitment to laser-induced DNA lesions can be distorted byphotoconversion of the DNA binding dye Hoechst. F1000Research , :104. <br>Experimental details:<br>U2OS cells (a gift from Prof. Primo Leo Schaer, Department of Biomedicine, University of Basel) were incubated with 1.5 µg/ml Hoechst 33342 (Thermo Fisher Scientific, H1399) for at least 30 minutes prior to photoconversion. Photoconversion was induced with a VisiFRAP module (Visitron) mounted on the backport of the microscope and equipped with a 405 nm laser (Toptica, illumination power at the objective 12.8 mW). Confocal images were acquired with an Olympus IX81 microscope equipped with a PlanApo 100x/1.45 TIRFM oil objective, a CSU-X1 scan-head (Yokogawa), an Evolve 512 EMCCD camera (Photometrics), a 491nm laser (Cobolt Calypso 100), a 488/568 dichroic (Semrock Di01-T488/568-13x15x0.5), a band-pass 525/40 emission filter (Semrock FF01-525/40-25) and controlled with the Visiview Software (Visitron).<br>
DOI: 10.17045/sthlmuni.5468455.v2
title: Open data for "Electrocortical N400 effects of semantic satiation" by Kim Ströberg, Lau M. Andersen, and Stefan Wiens

description: Contains the open data for "Electrocortical N400 Effects of Semantic Satiation" by Ströberg, Andersen, and Wiens (2017, Frontiers in Psychology)<br>NBS_Presentation.zip contains the scripts to run the experiment in Presentation. https://www.neurobs.com/ The folder also contains the logfiles of the behavioral data.<br><br>rawdata_bdf_*.zip contain the raw eeg data files (*.bdf) that were recorded with a biosemi system (www.biosemi.com). The files can be opened in matlab with the fieldtrip toolbox. http://www.fieldtriptoolbox.org/. https://doi.org/10.1155/2011/156869<br>fieldtrip_final_data_files.zip contains the preprocessed individual data files. They were generated with the fieldtrip toolbox in matlab. http://www.fieldtriptoolbox.org/, https://doi.org/10.1155/2011/156869<br>fieldtrip.zip contains all the matlab scripts that were used to process the ERP data with the toolbox fieldtrip. http://www.fieldtriptoolbox.org/, https://doi.org/10.1155/2011/156869. It also contains the r-scripts that were used to compute Bayes Factors. The r-files can be run with r (https://www.r-project.org/). Some files were generated with Aladins r scripts (https://doi.org/10.17045/sthlmuni.4981154). The folder also contains the main output files (csv, mat, tiff).
DOI: 10.17632/nhyvdhrcw8
title: Socioecological drivers of injuries and aggression- PavezFox et al.

description: Formatted dataset on aggression used to run analyses for MS in Behavioral Ecology and Sociobiology.

Columns from left to right indicate:
Animal ID, Behavioural sampling method, count of received aggression, count of received contact aggression, count of received contact aggression from a female, count of received contact aggression from a male, sampling effort (hours), group ID, year, bimonthly interval, reproductive season (0 = birth, 1 = mating), group size, adult sex ratio, sex.


Dataset on injuries can be found at: 
Pavez, Melissa (2022), “Injury data, Pavez-Fox et al.”, Mendeley Data, V1, doi: 10.17632/95xxf29472.1
file "Pavez-Fox et al. - surv_ages.csv"
DOI: 10.6084/m9.figshare.12057069.v1
title: Ipsi EGFP - contra eye stim raw branch lengths

description: Xenopus RGC axon branch dynamics <br>Data generated by Dynamo reconstructions of RGC axons imaged in the optic tectum in darkness and with visual stimulation. These datasets are the lengths of each branch identified at each timepoint.