cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/b99r3tdcn3
title: Data for "The characterization of ancient Methanococcales malate dehydrogenases reveals that strong thermal stability prevents unfolding under intense g- irradiation"

description: The dataset contains: (1) The 18 Malate dehydrogenase sequences of Methanococcales, (2) The maximum-likelihood tree inferred with the 18 Malate dehydrogenase sequences of Methanococcales, and (3) the inferred ancestral sequences.
DOI: 10.17632/sn9vy5c8sm
title: Spatial and Temporally aligned Visible and Infrared UAV images (labelled) and videos (not labelled)

description: This dataset was created for sensing of UAVs in the context of the Counter-UAS problem. To implement data fusion methodologies for imaging sensors, namely at pixel level, the data from the visible and infrared sensors must be spatial and temporally aligned. To this end, flight tests were conducted at the University of Victoria's Center for Aerospace Research (UVIC-CfAR) using a TASE 200 gimbal (Visible sensor: SONY FCB-EX1020 PAL, Infrared sensor: FLIR TAU 640 PAL). Additional data collected at the Universidade de Lisboa - Instituto Superior Técnico (IST) using a TeAx ThermalCapture Fusion Zoom was provided. This resulted in two separate sub-datasets: one of labelled UAV images, and one of UAV videos not labelled. All data from Visible and Infrared sensors are spatial and temporally aligned. 

The labelled dataset includes real frames of a DJI Mavic 2, the VTOL Mini-E (developed at UVIC-CfAR), the hybrid multirotor MIMIQ (developed at UVIC-CfAR), a DJI Mini 3 Pro, and a Zeta FX-61 Phantom Wing and artificial frames of quadcopters, a hexacopter, and a fixed-wing. It includes variety in operational conditions and characteristics, namely range, lighting, blurry and partially cut UAV, presence of birds, and background texture. Images are labelled in the YOLO format. Folders were organized in the YOLO format with 80-10-10 partition for training, test and validation sets. Images were randomly selected for each folder.

The dataset of videos that are not labelled includes videos of a DJI Mavic 2, the VTOL Mini-E (developed at UVIC-CfAR), and a DJI Inspire 1. Some videos are in their original unprocessed version. Others are separated into videos of interest, which include the segments with better spatial and temporal alignment and isolation of operational conditions and characteristics.
DOI: 10.17632/twvch2sw66
title: Supplemental data files for: Stress and Deformation Characteristics of the Southern Tibetan Lithosphere: Insights from Electrical Anisotropic Studies

description: Data files for a magnetotellurics profile to study the electrical anisotropy structures of the southern Tibetan Plateau, conducted by China University of Geosciences, Beijing.
DOI: 10.6084/m9.figshare.14783613.v1
title: Supplementary Material for: Pseudoprogression with Neoadjuvant Immunotherapy for Cutaneous Melanoma

description: Immune checkpoint inhibitors (ICI) have drastically changed the landscape of metastatic melanoma management, thus significantly improving survival. Clinically, assessing treatment response may be challenging in a portion of cases due to a massive influx of immune cells into the tumor microenvironment, causing a transient increase in the target lesion size. This phenomenon, coined pseudoprogression, can occur in 5–10% of metastatic patients, and it is commonly followed by a tumor regression. Its incidence, however, may be underestimated, given its ephemeral nature and often being documented in visceral metastatic lesions, which are only assessed by imaging scans every 2–3 months. More recently, ICI has been studied in the neoadjuvant setting, yielding durable pathological responses in patients with cutaneous melanoma. Here, we report a case of a large retroauricular melanoma mass with regional lymph node involvement treated with ipilimumab and nivolumab combination therapy that developed pseudoprogression. Initially documented as an increase in size along with inflammatory features, followed by a dramatic clinical improvement. A complete regression was pathologically documented after 3 months and the patient remains disease-free for 14 months after treatment initiation. In conclusion, we document a pseudoprogression case during neoadjuvant ICI treatment and raise the question of whether the incidence of this phenomenon is higher when observed in superficial lesions, which can be assessed by routine physical exam.
DOI: 10.6084/m9.figshare.28447751.v3
title: Source data for figures 2-4 and table 1 for the paper entitled - "It's About Time – Dynamics Mediate Breathing’s Impact on Emotion and Cognition"

description: This repository contains the source data for figures 2-4 and table 1 from the manuscript entitled "It's About Time – Breathing Dynamics Modulate Emotion and Cognition" authored by Josh Goheen, Yasir Catal, Imola MacPhee, Tyler Call, Cameron Carson, Reem Ali, Rabeaa Khan, Kareen Weche, John A.E. Anderson, and Georg Northoff<br>
DOI: 10.6084/m9.figshare.7859801.v1
title: Additional file 1 – Enzyme activity assay excel template

description: p { margin-bottom: 0.25cm; direction: ltr; line-height: 115%; text-align: left; }p.western { font-size: 11pt; }p.cjk { font-size: 11pt; }a:link { color: rgb(0, 0, 255); } The file contains a blank layout sheet for test sample and control sample distribution on a 96-well plate. Additional sheets contain master mix volume calculations for activity assays for Aldolase, Glucose-6-phosphate Dehydrogenase, Hexokinase, Phosphofructokinase, Phosphoglucose isomerase, and Phosphoglucosemutase. Adjustment of the desired number of control and test samples (grey fields) results in recalculation of required volumes. All sheets are printable on A4 paper and can be filled out digitally or manually.
DOI: 10.17632/ndwr9vb53p
title: AE data (Hsu-Nielsen tests) from overwrapped composite pressure vessel type-IV

description: Vallen files:

- Contains the raw acoustic emission data for each of the 40 marked areas on the pressure vessel
- This data was directly recorded using the Vallen measurement system

Matlab files and h5 files:

- These folders contain processed and filtered data, with data for each measurement area provided separately within each folder type
- For each area, the data is structured into two main arrays:
 -- TRAI_TIME_MAP (variable mapping): This is a numerical array with dimensions (2, N, 4)
 --- The first dimension (size 2) serves to differentiate between two types of information for each measurement event and sensor:
 ---- Index 1 (Matlab m files)/ Index 0 (Python HDF files): Contains the Transaction Record Identifiers (TRAIs). Each TRAI is a unique identifier associated with a specific acoustic emission event detected by a sensor
 ---- Index 2 (Matlab m files)/ Index 1 (Python HDF files): Contains the Time of Arrival (ToA) of the acoustic emission signal at each sensor, measured in microseconds or other consistent time units from the start of the recording epoch for that event
 --- N represents the total number of distinct acoustic emission measurements (events, e.g., pencil lead breaks) recorded for that specific area
 --- The third dimension (size 4) corresponds to the four acoustic emission sensors used in the setup
 --- For example, TRAI_TIME_MAP[1, i, j] would provide the TRAI for the i-th measurement event as captured by the j-th sensor, while TRAI_TIME_MAP[2, i, j] would provide the corresponding Time of Arrival (using Matlab)

 -- TRAI_WAVEFORMS: This array with dimensions (L, M) stores the complete acoustic emission waveform data for all recorded signals.
 --- L is the sample length of each individual signal (e.g., 4096 samples)
 --- M is the total number of unique recorded waveforms (identified by TRAIs) for that specific measurement area (e.g., M = 610).
 --- This array serves as a "pool" of all waveforms, where each column m is a complete, unique signal

- Explicit Mapping Logic:
 -- The two arrays are linked via an index-based lookup. To find the waveform for a specific event i and sensor j, you must perform the following two steps:
 --- Get the Waveform Index: First, retrieve the mapping index, let's call it m, from TRAI_TIME_MAP. This index m corresponds to the specific TRAI for that measurement
 --- m = TRAI_TIME_MAP[1,i,j] (Matlab usage)/ m = TRAI_TIME_MAP[0,i,j] (Python HDF usage)
 --- Retrieve the Waveform: Use this index m to select the correct column from the TRAI_WAVEFORMS array. The complete signal is the entirety of that column
 --- Waveform Signal = TRAI_WAVEFORMS[:,m]
 -- Matlab uses numbering from 1, HDF files are created in Python therefore index numbers start from 0
DOI: 10.6084/m9.figshare.25764060.v1
title: Data for Tarim

description: Data for calculating the P receiver functions.As described in the paper, a Butterworth bandpass filter with a frequency range of 0.05-2 Hz was applied to the data. The waveforms 20 seconds before and 100 seconds after the theoretical P arrival time were cut to calculate the receiver function.
DOI: 10.15468/dl.mhtjbu
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Panicum oligosanthes Schult.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 24 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013018-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8ks7m7gd39
title: Optimizing lens constants specifically for short eyes: Is it essential?

description: The data sheet for comparison of various lens constants on performance of IOL formulae in short eyes. It includes demographics, biometry details, postoperative spherical equivalent, predicted refraction, numerical error, absolute error of manufacturer's, optimized and ULIB constants for various formulae used in the study
DOI: 10.17632/r9ft9txkct
title: Descriptive R Code from the meta-analysis and meta-regression analysis on prognostic significance of pre-treatment systemic hemato-immunological indices of cervical cancer patients

description: R Code used to produce neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), thrombocyte-to-lymphocyte ratio (TLR), and C-reactive protein/albumin ratio (CAR) to find the association with an increased risk of cervical collision cancer.
DOI: 10.17632/r2yp8wy45f
title: Soybean Leaf Diseased Images

description: These are the unprocessed images of soybean diseased leaves. These images captured by mobile camera directly from various fields in Kolhapur district in Maharashtra India.
DOI: 10.6084/m9.figshare.12436397.v2
title: Ground Truth - STORM simulations

description: 3 datasets and associated TestSTORM files for the Array, Lines and Star ground Truths
DOI: 10.17632/ynghdr2msn
title: Systematics and evolution of predatory flower flies (Diptera: Syrphidae: Syrphinae ) based on exon-capture sequencing

description: Syrphidae, one of the most species-rich dipteran families, provides important ecosystem services such as pollination, biological control of pests, recycling of organic matter, redistributions of essential nutrients, among others. Flower fly adults show a common feeding strategy on pollen and nectar, but their larval feeding habits are strikingly diverse. In the present study high-throughput sequencing was used to capture and enrich exons as a genome reduction method for the first time for any Diptera group. With the help of the BaitFisher software, we developed a new bait kit (SYRPHIDAE1.0) to target 1945 CDS regions belonging to 1312 orthologous genes. This new bait kit was successfully used to exon-capture the targeted loci in 121 flower fly species across the different subfamilies of Syrphidae. We analyzed different amino acid and nucleotide data sets (1302 loci and 154 loci) with the Maximum Likelihood and the Multispecies Coalescent approaches. Our maximum-likelihood and coalescent-based analyses resolved highly supported similar topologies, although the degree of the SRH (global stationary, reversibility and homogeneity) conditions varied greatly between amino acid and nucleotide data sets. The sisterhood of Pipizinae and Syrphinae is recovered in all our analyses, confirming a common origin of taxa feeding on soft-bodied arthropods. Based on our results, we define Syrphini stat.rev. to include the genera Toxomerus and Paragus. Our divergence estimate analyses with BEAST inferred the origin of the Syrphidae in the Lower Cretaceous and the diversification of predatory flower flies occurred around the K-Pg boundary.
DOI: 10.17632/mryh87nc7x
title: Data for: Energy Savings and Daylighting Evaluation of Dynamic Venetian Blinds and Lighting through Full-Scale Experimental Testing

description: This dataset provides data for illuminance,indoor temperature and outdoor environmental variables related to the testing of Venetian blinds. The data includes the nomenclature of different variables for which data was collected.
DOI: 10.6084/m9.figshare.24021591.v2
title: C3RO demographics analysis

description: For secondary analysis of C3RO data. These CSV files were generated for each disease site separately which can then be used to regression modeling. More information on this data can be found in the accompanying preprint: https://www.medrxiv.org/content/10.1101/2023.08.30.23294786v2.Original C3RO data can be found here: https://figshare.com/articles/dataset/Large-scale_crowdsourced_radiotherapy_segmentations_across_a_variety_of_cancer_sites/21074182.Version history:v2: Jan 7, 2023. Included additional column for HD95 binary data.
DOI: 10.6084/m9.figshare.24920142.v1
title: wind data.xlsx

description: This is the power data of several wind farms in a region of China. It contains predicted and actual values with a time scale of 15 min.
DOI: 10.6084/m9.figshare.28784717.v1
title: HADS co-assemblies of Long-read and Short-read Metagenomes

description: Anvi'o contigs-db files for the indivdiual co-assemblies of short-read (SR) as well as long-read (LR) sequencing of HADS metagenomes. Please see the following URL for more information:https://merenlab.org/data/hads
DOI: 10.17632/s5hh825ctr
title: Get-AQI in One shot-4 (GAOs-4)

description: To make the experimental results more accurate and the model more generalizable, we propose a new dataset GAOs-4. We used cell phone photography to manually collect 5700 environmental images at various times of the day in the Beijing area as our air quality dataset.
When collecting images, we try to avoid the interference of external factors on the images. For example, avoid capturing data in bad weather and low light, avoid direct sunlight to affect the representation of air quality in images, etc. The time, location, and AQI value of the acquisition are recorded at the same time as the image is acquired. The images were then divided into six categories based on the correspondence between AQI and air quality classes in Table II.
To improve the quality of the dataset and enhance the classification performance of the network, we carefully filter the collected dataset. We removed images that were blurred due to improper photography, were dim due to backlighting, and images where the sky and buildings were covered by nearby objects. We continuously filter and adjust the captured images to remove the redundant images with good air quality so that the images in each category are evenly distributed. We ended up with a high-quality environmental image dataset containing 3700 images. We divided them into 2960 training images and 740 validation images.
DOI: 10.6084/m9.figshare.1555334.v4
title: Crowdfunding projects involving Australian university staff

description: The spreadsheet 'Crowdfunding research...' provides information on crowdfunding projects involving Australian university staff. Information is drawn from Pozible, Kickstarter, Indiegogo and Rockethub. Information covers the time period October 2011 to 21 August 2015. <br> Searches were conducted between 5 June 2015 – 28 January 2016, with results limited to projects that closed before 12 September 2015. <br> The spreadsheet '2022 - Research Crowdfunding v4' updates the Field of Research (FoR) codes to the 2020 versions. It adds charts that show the distribution of projects per 2020 FoR codes, campaigns per university per year, and amounts raised for all or nothing and keep it all campaigns. <br> The spreadsheet '2016 - Research Crowdfunding v3' tidies up some of the data, adds a key to explain each column heading in each sheet of the spreadsheet. It also includes Australian and New Zealand Field of Research (FoR) codes for each crowdfunding campaign. <br> The spreadsheet '2016 - Research Crowdfunding v2' provides an update with information drawn from Chuffed, FundScience, GetFunding, Indiegogo, Kickstarter, Pozible, Rockethub, and Thinkable. <br> <br> <br>
DOI: 10.17632/23m6dmxvw3
title: Earthquakes in Turkiye 2023 Tweets

description: 100 most popular tweets related to the earthquake in southeast Turkey from February 2023 to April 2023
DOI: 10.17632/2svx788ddf
title: KimLabDevCCFv001

description: This package is the version 001 release of the Kim Lab Developmental CCF (KimLabDevCCFv001).
KimLabDevCCF is a 3D whole mouse brain multimodal common coordinate framework. v001 includes multimodal templates (STPT, LSFM, and MRI) 
for the adult mouse brain (P56) as well as continuous 3D annotations segmented according to Luis Puelles' Developmental Vertebrate Ontology.

The package contains the following files representative of the P56 mouse brain at 10um, 25um, and 50um isotropic resolution:

	- The CCFv3 Template:
		CCFv3_average_template_ASL_Oriented_u16_10um.nii.gz
		
	- Developmental Atlas segmentations based on the Developing Mouse Brain Atlas:	
		KimLabDevCCFv001_Annotations_ASL_Oriented_10um.nii.gz
		
	- LSFM average template registered to the Allen CCFv3 Space:	
		KimLabDevCCFv001_iDiscoLSFM2CCF_avgTemplate_ASL_Oriented_10um.nii.gz
	
	- The Allen Developing Mouse Brain Atlas Ontology Structure modified to include labels present in the KimLabDevCCFv001 that are not present in the Allen ontology:
		KimLabDevCCFv001_MouseOntologyStructure.csv	
		(additional labels 

	- MRI average templates of 6 contrasts (a0, adc, dwo, fa, MTR, T2) registered to the Allen CCFv3 Space:
		KimLabDevCCFv001_P56_MRI-a02CCF_avgTemplate_ASL_Oriented_10um.nii.gz
		KimLabDevCCFv001_P56_MRI-adc2CCF_avgTemplate_ASL_Oriented_10um.nii.gz
		KimLabDevCCFv001_P56_MRI-dwi2CCF_avgTemplate_ASL_Oriented_10um.nii.gz
		KimLabDevCCFv001_P56_MRI-fa2CCF_avgTemplate_ASL_Oriented_10um.nii.gz
		KimLabDevCCFv001_P56_MRI-MTR2CCF_avgTemplate_ASL_Oriented_10um.nii.gz
		KimLabDevCCFv001_P56_MRI-T22CCF_avgTemplate_ASL_Oriented_10um.nii.gz


	*Note: All data in this release version are registered to the Allen Institute CCFv3 morphological space.
DOI: 10.17632/nc9bc8dn4m
title: Single-Cell VIPER Identifies Recurrence-Associated Renal Tumor Macrophages
DOI: 10.17632/xs5bx2y9c8
title: Proteomics and surface free fatty acid analysis of milk fat globule in the spray- and freeze-dried bovine, goat and horse milk powders

description: Appendix A. Supplementary data
DOI: 10.17632/2ybzk7hbp2
title: Brazilian indoor thermal comfort database

description: The Brazilian indoor thermal comfort database is a set of information related to the indoor thermal environment and the occupants’ characterization and thermal perception (right-here-right-now survey). The data collected came from field studies conducted indoors during daily occupation – “real” environments with occupants performing their habitual activities. The documented data was obtained through field studies in universities classrooms and offices in Brazil. 
According to the international measurement protocols recurrent in base surveys (De Dear, Brager and Cooper, 1997; De Dear and Brager, 1998; ASHRAE, 2010), the physical variables related to the indoor thermal environment (air temperature, mean radiant temperature, relative humidity and air velocity) were recorded by appropriated and previously calibrated instruments, while the subjective responses from the occupants and their personal antropometric information were documented in questionnaires. More details on the Brazilian thermal comfort database project can be accessed in: <https://labeee.ufsc.br/projetos/base-brasileira-de-dados-em-conforto-termico>).
DOI: 10.17632/bcw3b2jcxb
title: Integrating Pollutant registers for the climate change risk evaluation of industrial companies in Australia, Europe and North America

description: Data of the background study. 
Title&gt; Integrating Pollutant registers for the climate change risk evaluation of industrial companies in Australia, Europe and North America

published by the Nature Scientific Reports, 2025
https://www.nature.com/articles/s41598-024-82533-1
Cite this article
Erhart, S., Szabó, S. & Erhart, K. Integrating Pollutant registers for the climate change risk evaluation of industrial companies in Australia, Europe and North America. Sci Rep 15, 1207 (2025). https://doi.org/10.1038/s41598-024-82533-1
DOI: 10.6084/m9.figshare.23701674.v1
title: Supplemental Tables and Figures for Wenting Zuo et al., 2023

description: supplemental tables and figures for single cell sequencing mentioned at present study.
DOI: 10.6084/m9.figshare.29098256.v3
title: Supplementary material from "Descending from trees: A Cretaceous winged ice-crawler illuminates the ecological shift and origin of Grylloblattidae"

description: Supplementary material from "Descending from trees: A Cretaceous winged ice-crawler illuminates the ecological shift and origin of Grylloblattidae"Article DOI: 10.1098/rspb.2025.0557<b>Supplementary Data 1</b>. CT-scan parameters of <i>Zygogrylloblatta</i> <i>longipalpa</i> gen. et sp. nov.<b>Supplementary Data 2</b>. List of the characters included in the phylogenetic reconstruction of Polyneoptera.<b>Supplementary Data 3</b>. Morphological matrix of Polyneoptera and complete cladograms resulting from the phylogenetic analyses.<b>Supplementary Data 4</b>. List of morphological characters and species for ecological transitions analysis.<b>Supplementary Data 5</b>. Remarks and descriptions in Systematic palaeontology.<b>Supplementary </b><b>Movie</b><b> 1</b><b>. </b>Rendering of abdomen of <i>Zygogrylloblatta longipalpa</i> sp. nov., rotated vertically.<b>Supplementary </b><b>Movie</b><b> </b><b>2</b><b>.</b> Rendering of abdomen of <i>Zygogrylloblatta longipalpa</i> sp. nov., rotated horizontally.