cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/79dp7449jw
title: Progression of Cutaneous T-Cell Lymphoma after dupilumab: Case review of 7 patients

description: Supplement 1: Report of Cases Seven patients were prescribed dupilumab for chronic recalcitrant presumed AD (cases 1-4), or as an off-label treatment for patients with MF and severe pruritus (cases 5-7). In all 7 patients, the standard dosing regimen for dupilumab was followed (600mg loading dose, followed by 300mg every 2 weeks subcutaneously). Case vignettes and photographs found below.
DOI: 10.17632/p7myt3fbzs
title: Impact of Converging Sociocultural and Cannabinoid-Related Trends on US Autism Rates Dataset: Combined Geospatiotemporal and Causal Inferential Analysis

description: Background: Whilst cannabis is known to be toxic to brain function and brain development in many respects it is not known if its increasing availability is associated with the rising US autism rates, whether this contribution is sufficient to effect overall trends and if its effects persist after controlling for other major covariates. Methods: Longitudinal epidemiological study using national autism census data from the US Department of Education Individuals with Disabilities Act (IDEA) 1991-2011 and nationally representative drug exposure (cigarettes, alcohol, analgesic, and cocaine abuse, and cannabis use monthly, daily and in pregnancy) datasets from National Survey of Drug Use and Health and US Census (income and ethnicity) and CDC Wonder population and birth data. Geotemporospatial and causal inference analysis conducted in R. Results: 266,950 autistic of a population of 40,119,464 eight year olds 1994-2011. At the national level after adjustment daily cannabis use was significantly related (β-estimate=4.37 (95%C.I. 4.06-4.68), P&lt;2.2x10-16) as was cannabis exposure in the first trimester of pregnancy (β-estimate=0.12 (0.08-0.16), P=1.7x10-12). At the state level following adjustment cannabis use was significant (from β-estimate=8.41 (3.08-13.74), P=0.002); after adjustment for varying cannabis exposure by ethnicity and other covariates (from β-estimate=10.88 (5.97-15.79), P=1.4x10-5). Cannabigerol (from β-estimate=-13.77 (-19.41—8.13), P = 1.8x10-6) and Δ9-tetrahydrocannabinol (from β-estimate=1.96 (0.88-3.04), P=4x10-4) were also significant. Geospatial state-level modelling showed an exponential relationship between ASMR and both Δ9-tetrahydrocannabinol and cannabigerol exposure; effect size calculations reflected this exponentiation. Exponential coefficients for the relationship between modelled ASMR and THC- and cannabigerol- exposure were 7.053 (6.39-7.71) and 185.334 (167.88-202.79; both P&lt;2.0x10-7). In inverse probability-weighted robust generalized linear models ethnic cannabis exposure (from β-estimate=3.64 (2.94-4.34), P=5.9x10-13) and cannabis independently (β-estimate=1.08 (0.63-1.54), P=2.9x10-5) were significant. High eValues in geospatial models indicated that uncontrolled confounding did not explain these findings. Therefore the demonstrated relationship satified the criteria of causal inference. Dichotomized legal status was geospatiotemporally linked with elevated ASMR. Conclusions: Data show cannabis use is associated with ASMR, is powerful enough to affect overall trends, and persists after controlling for other major drug, socioeconomic, and ethnic-related covariates. Selected cannabinoids are exponentially associated with ASMR. The cannabis-autism relationship satisfies criteria of causal inference.
DOI: 10.6084/m9.figshare.22256143.v1
title: Hemoglobin detection based on four-wavelength PPG signal.zip

description: This dataset could be used to predict the hemoglobin (HGB) based on four-wavelength PPG signals. <br> The dataset consists of 58 subjects, each with 60 seconds signal length and 200 Hz sampling frequency. <br> The wavelength information of signals in the dataset is listed as follows： channel1: 660nm channel2: 730nm channel3: 850nm channel4: 940nm
DOI: 10.6084/m9.figshare.3515408.v1
title: Appendix A. Life-history characteristics of 170 forest-dwelling mammal species occurring in East Kalimantan, Indonesia.

description: Life-history characteristics of 170 forest-dwelling mammal species occurring in East Kalimantan, Indonesia.
DOI: 10.6084/m9.figshare.1523936.v1
title: Accumulation rates of standing biomass carbon stocks in different stand stages of Pinus kesiya var. langbianensis plantations

description: Accumulation rates of standing biomass carbon stocks in different stand stages of Pinus kesiya var. langbianensis plantations
DOI: 10.6084/m9.figshare.20764789.v2
title: The role of prey and predator identity in eliciting inducible defences of Daphnia

description: In an effort to elucidate how prey and predator identity determine defence responses in waterfleas, we used inducible morphology and life history traits of Daphnia mitsukuri as a model to test: (1) whether Daphnia mitsukuri responds differentially to kairomones from six different fish species, (2) whether D. mitsukuri responds differentially to alarm cues, kairomones, and their combination from the fish Rhodeus feeding on eight different prey species of varying phylogenetic relatedness, (3) whether D. mitsukuri responds differentially to Rhodeus ingesting zooplankton communities with different proportions of cladocerans. and (4) whether different D. mitsukuri genotypes differentially respond to the same kairomones.
DOI: 10.6084/m9.figshare.25197446.v2
title: Code and sample data from "Temporal dynamics of climate change exposure and opportunities for global marine biodiversity"

description: Post-processed data sample and code from <i>Temporal dynamics</i><i> of climate change exposure and opportunities for global marine biodiversity</i><i> </i>(2024) Schwarz Meyer AL, Pigot AL, Merow C, Kaschner K, Garilao C, Kesner-Reyes K, Trisos CH.The pre-processed climate data used in the analyses were not uploaded due to the file size exceeding Figshare's storage quota. Instead, we provide post-processed climate data from one climate model as a sample. We also provide the R scripts needed to reproduce the analyses and recreate the figures. The climate data can be obtained from https://esgf-index1.ceda.ac.uk/search/cmip6-ceda/. Species data can be obtained at https://aquamaps.org.<br><br>
DOI: 10.6084/m9.figshare.29094206.v2
title: contig_igpc.fa.gz

description: An integrated gut phage catalogue of NHPs
DOI: 10.17632/5jcjbnyx4h
title: 3D LiDAR and Photogrammetry Scans of a Stilt House in Tai O Village - 2022 - Case 705384

description: This data includes a point cloud file from a combined photogrammetric and LiDAR scan of a stilt house in Tai O Village. The house is designated "Case 705384" in the research project record. Researchers collected the scan using a single, approximately 10 minute walk-through of the house with the Leica-brand BLK2Go model 3D environment scanner. The scan describes the interior and partial exterior of a stilt house in high detail and color. The scan has been decimated to a voxel size of 5 mm to reduce file size. The data provides clear enough rendering of the physical conditions of the house to allow interpretation of the scan into description of the house's construction, contents, and spatial use. The data is available under embargo of one year to protect the personal information of residents of the house, provided for purposes of digital conservation of the building, and for interpretation of the house's physical conditions and interior contents through further research. More detailed information on the dataset, including the date the scan was conducted, the location of the house, and related interview and survey datasets are available upon reviewed request.
DOI: 10.17632/g73pbyprm5
title: Towards autonomous public transportation: Attitudes and intentions of the local population

description: A stated preference survey has been employed, in order to better understand customers’ sentiments and willingness to use driverless buses. We designed the survey to give insights into the perceptions and expectations of inhabitants of a medium sized town in Germany’s Lower Rhine Region, which is on the brink of establishing an autonomous bus line. Like most survey studies on AV acceptance, we rely on a convenience sample. Due to the Covid-19 Pandemic, the questionnaire was administered online only. In total, 435 people participated. 

Attached you will find the survey, the codebook plus the raw data.
DOI: 10.17632/mzgbj57k6f
title: Supplementary information to Effect of antiepileptic drugs on endogenous hormones in patients with epilepsy: a systematic review and meta-analysis

description: Supporting information for the systematic review and meta-analysis conducted for elucidating the effect of antiepileptic drugs on endogenous hormones in patients with epilepsy.
DOI: 10.17632/yhy76b2c7b
title: Unlabelled Arabic Speech Dataset

description: Speech is crucial for communication, especially in the era of artificial intelligence. Many fields, including security and forensics, rely on analyzing speech, where it can be used to identify people, but there's a challenge when it comes to Arabic language data. Most speech analysis models are primarily trained on English data and don't work well with Arabic.

Therefore, a large dataset with over a million Arabic samples was built for training models and improving performance. The samples were collected from Arabic podcasts, so they're clear and noise-free. The audio recordings were extracted and segmented into one-second segments. Then, they were transformed into Mel-spectrograms, using a 22 kHz sampling rate, a frame size of 2048 samples, and a hop length of 512 samples. Researchers working with Arabic speech data can benefit from this dataset to try different machine learning and deep learning models.

Using our dataset to improve Arabic speaker identification, we trained a Siamese speech embedding model. We tested its performance using a benchmark dataset, which can be viewed in the paper titled "Unsupervised Arabic Speech Embedding Model for Speaker Identification" https://ieeexplore-ieee-org.aus.idm.oclc.org/document/10191576.
DOI: 10.6084/m9.figshare.15172251.v1
title: Simultaneous height growth of multiple hydraulic fractures in layered reservoirs

description: The simultaneous hydraulic fracturing is a critical technique in developing shale oil/gas from unconventional hydrocarbon reservoirs with ultralow permeability. In this technique, multiple hydraulic fractures are closely placed to expect to grow simultaneously and thus enhance reservoir permeability. However, field data indicate their height growth is seldomly simultaneous, because some of them are often either impeded or overgrown. A too-short fracture height lowers the hydrocarbon productivity. In contrast, the overgrown fracture height may leak the hydrocarbon and fracturing fluid into the shallow aquifers. Why this unsatisfied multi-fracture height growth often occurs is still not fully understood yet. Here we establish numerical models to reproduce and simulate this process. We show that the layering structure of unconventional reservoirs impedes the simultaneous multi-fracture height growth significantly. We highlight that the impediment effect of layering structure depends on the stress interaction among hydraulic fractures. Our result can help field operators to increase productivity in the hydrocarbon industry and benefit natural fluid-driven activities like dyking and more.
DOI: 10.6084/m9.figshare.16543575.v1
title: North East Asia Benthic Type Reference Sample

description: This benthic reference data is intended for use as a calibration and/or validation data for global scale remote sensing image based classification of coral reef areas. The data is in a vector shapefile format consisting of polygons labelled with one of seven coral reef benthic classes that include Microalgal Mats, Coral/Algae, Rubble, Rock, Seagrass Dense, Seagrass Sparse, Sand. <b>Please cite data as:</b> Canto, R., Roelfsema, C., Borrego-Acevedo, R., Harris, D., Kennedy, E., Kovacs, E., Lyons, M., Markey, K., Murray, N., Ordonez Alvarez, A., Phinn, S., Roe, M., Say, C., Tudman, P., C., Wolff, J., Yuwono, D., Bambric, B., Fox, H., Lieb, Z., Asner , G., Knapp , D., Li, J., Harris, B., Larsen, K. & Rice, K. 2021. North East Asia Benthic Type Reference Sample. University of Queensland. DOI: https://doi.org/10.6084/m9.figshare.16543575 <b>Links to supplementary information:</b> Mapping methods overview (https://allencoralatlas.org/methods/) UQ mapping team web site (https://www.rsrc.org.au/globalreef) Detailed mapping methods description by Lyons et al. (https://doi.org/10.1002/rse2.157) Detailed classification scheme description by Kennedy et al. (https://doi.org/10.1038/s41597-021-00958-z) Detailed reference creation description workflow by Roelfsema et al. (https://doi.org/10.3389/fmars.2021.643381) <b>Funding:</b> Vulcan Inc., (https://vulcan.com) Great Barrier Reef Foundation (https://www.barrierreef.org/) <b>Acknowledgement:</b> This work was initiated and funded primarily through Paul Allen Philanthropies and Vulcan Inc. as part of the Allen Coral Atlas. We acknowledge the late Paul Allen and Ruth Gates for their fundamental vision and drive to enable us to work together on this critical reef mapping problem. Project partners providing financial, service and personnel include: Planet Inc., National Geographic, University of Queensland, Arizona State University, and University of Hawai'i. Significant support has also been provided by Google Inc., Great Barrier Reef Foundation, and Trimble (Ecognition). Contributors to establishing and running the project include: Vulcan Inc. [James Deutsch, Lauren Kickam, Paulina Gerstner, Charlie Whiton, Kirk Larsen, Sarah Frias Torres, Kyle Rice, Eldan Goldenberg, Janet Greenlee]; Planet Inc. [Andrew Zolli, Trevor McDonald, Joe Mascaro, Joe Kington]; University of Queensland [Chris Roelfsema, Stuart Phinn, Emma Kennedy, Mitch Lyons, Nicholas Murray, Doddy Yuwono, Dan Harris, Eva Kovacs, Rodney Borrego, Meredith Roe, Jeremy Wolff, Kathryn Markey, Alexandra Ordonez, Chantal Say, Paul Tudman]; Arizona State University [Greg Asner, Dave Knapp, Jiwei Li, Yaping Xu, Nick Fabina, Heather D'Angelo]; and National Geographic [Helen Fox, Brianna Bambic, Brian Free, Zoe Lieb] and Great Barrier Reef Foundation [Petra Lundgren, Kirsty Bevan, Sarah Castine]. Attributions of contributed field data or maps for the reference sample creation are available at: https://allencoralatlas.org/attribution/
DOI: 10.6084/m9.figshare.5886532.v1
title: CitySounds2017train audio files

description: The CitySounds2017<i><sub>train</sub> </i>dataset comprising 1100 1-minute <i>.wav</i> audio files recorded at 44 green infrastructure sites within Greater London, UK between 2013 and 2015.<br>Audio data captured using a Song Meter SM2+ digital audio field recorder (Wildlife Acoustics, Inc., Concord, Massachusetts, USA). The recorder was equipped with a single omnidirectional microphone (frequency response: -35±4 dB) oriented horizontally at a height of 1 metre.
DOI: 10.17605/osf.io/t6eph
title: Bad is more attractive than good in news page comment sections

description: The project contains the dataset for the publication "Bad is more attractive than good in news page comment sections ". The code is not given here. Please see the referenced git repositories.
DOI: 10.17632/gx7nh32w5f
title: Unemployment data - India with Polynomial analysis

description: Description of the Data
Data Structure:

The data is organized into a dictionary format, containing two main keys: "State/UT" and "Unemployment Rate (2022-23)".

Each state or union territory is listed alongside its corresponding unemployment rate for the year 2022-23.

Unemployment Rates:

The unemployment rates vary significantly across different states, with some states like Goa showing a high rate of 9.7%, while others like Assam have a notably low rate of 1.7%.

The average unemployment rate for all states combined is also calculated, providing a national perspective on employment challenges.

Future Projections:

The dataset includes a projection for the unemployment rates in 2026, assuming a consistent annual increase of 2% from the 2022-23 rates.

This projection allows for an analysis of potential future trends in unemployment across states.

Statistical Analysis:

The data is converted into a Pandas DataFrame, facilitating further statistical analysis and visualization.

A linear regression model is fitted to establish an optimal trend line, predicting how unemployment rates may evolve over time.

A polynomial regression model is also applied to better capture non-linear trends in the data.

Visualization:

The results are visualized using Matplotlib, showcasing both actual unemployment rates for 2022-23 and the predicted rates for 2026.

Scatter plots highlight the disparities between states, while trend lines illustrate the overall direction of unemployment rates over the specified period.

Contextual Relevance:

This analysis is particularly relevant in understanding regional economic conditions and labor market dynamics in India.

It provides insights that can inform policymakers and stakeholders about potential areas of concern regarding employment and economic planning.
DOI: 10.17632/pv4znnnv3j
title: Stratified Tank and Solar Collector using Aspen Custom Modeler (ACM)

description: These ACM files contain the code to download, install, and use a stratified tank and solar collector as unit operations in the Aspen Dynamics and Aspen Plus simulation software. It can be used in the design and optimisation of process flows that include drying. In the stratified tank, a one-dimensional model was created with stacked vertical disks where each vertical disk is assumed to be well mixed and uniform with heat transfer occurring at the boundaries of the disks and by flow in and out of the tank. In the solar collector, the model assumes that the system operates with a single liquid phase. The accumulation of energy in the collector is equated to the energy gained by solar irradiation minus the energy lost to the surroundings. The steady state design model was built using the HYSYS software. Each drying stage was modelled as an equilibrium stage where the moisture removal would proceed at a constant rate. The moist air exiting the stage is maintained at a temperature 5°C above its dew point to ensure that moisture in the air does not re-condense.
DOI: 10.17632/zbf6b4pttk
title: Label Image Ground Truth Data for Lumbar Spine MRI Dataset

description: This dataset contains the raw label images and ground truth label images of axial view slices of lumbar spine MRI used to train SegNet to detect lumbar spinal stenosis. The four labelled Regions of Interest namely 1) Intervertebral Disc (IVD), 2) Posterior Element (PE), 3) Thecal Sac (TS) and 4) the Area between Anterior and Posterior (AAP) vertebrae elements. The labelling process was carried out by five labellers under supervision of an expert radiologist using the T1-weighted axial-view MRI slice of the last three IVDs. Analysis on the quality of the developed ground truth label images is provided in our paper. You can download and read the research papers detailing our methodology on boundary delineation for lumbar spinal stenosis detection using the URLs provided in the Related Links at the end of this page. You can also check out other dataset and source code related to this program from that section. We kindly request you to cite our papers when using our data or program in your research.
DOI: 10.6084/m9.figshare.14560530.v1
title: SAM 40: Dataset of 40 Subject EEG Recordings to Monitor the Induced-Stress while performing Stroop Color-Word Test, Arithmetic Task, and Mirror Image Recognition Task

description: This dataset presents a collection of electroencephalographic (EEG) data recorded from 40 subjects (female: 14, male: 26, mean age: 21.5 years). The dataset was recorded from the subjects while performing various tasks such as: Stroop color-word test (SCWT), solving arithmetic questions, identification of symmetric mirror images, and a state of relaxation. Three trials were recorded for each of the individual tasks. The experiment was primarily conducted to monitor the short-term stress elicited in an individual while performing the aforementioned cognitive tasks. 32-channel EEG was recorded using the Emotiv Epoc Flex gel kit. The EEG data were further processed to remove the baseline drifts by subtracting the average trend obtained using the Savitzky-Golay filter. Furthermore, the artifacts were removed by applying wavelet thresholding. The processed data was then segmented into non-overlapping epochs of 25 seconds depending on the various tasks performed by the subjects.
DOI: 10.6084/m9.figshare.16702411.v1
title: Ambient Noise Tomography in the Central Bransfield Basin

description: To investigate the submarine volcanoes and rift dynamics along the Bransfield Basin, comprehensive geophysical experiments have been conducted in the CBB between 2017 to 2020 within the BRAnsfield VOlcanoes SEISmology (BRAVOSEIS) project. Based on the amphibious broadband seismic network deployed within the BRAVOSEIS project, Li et al. performed ambient noise tomography to image S-wave velocity (Vs) structures in this area. The dataset includes cross-correlations and the 3-D Vs model obtained in this study.
DOI: 10.6084/m9.figshare.26252048.v1
title: Manually Segmented Labels Based on the Nutrition5k Dataset

description: Manually Segmented Labels Based on the Nutrition5k Dataset
DOI: 10.6084/m9.figshare.26795896.v1
title: Neutral SNPs

description: The structure format includes 1969 neutral SNPs with individual grouping by species. PW, PC, and PB refer to P. wenshanense, P. concolor, and P. bellatulum. The vcf file is also attached.
DOI: 10.6084/m9.figshare.26830645.v1
title: Supplementary Material for: Defining Success in the Delivery of Fertility-Related Care for Patients with Differences of Sex Development

description: Introduction: Individuals with differences of sex development (DSD) experience complex, often competing, medical and psychosocial challenges surrounding fertility. The study aimed to characterize how "success" in fertility-related care is conceptualized and attained among individuals with a DSD, their parents or caregivers, healthcare providers, and other stakeholders.

Methods: As part of a larger study, DSD stakeholders (n = 110) participated in semi-structured interviews covering the clinical care of patients with DSD. Primary questions included: “What is a successful outcome in DSD care?” and “How do you achieve it?” with fertility as either a spontaneous or suggested topic of discussion. Transcripts were analyzed utilizing a phenomenological approach. This analysis focuses on the extracted themes related to fertility.

Results: Fertility was discussed by 19/24 individuals with DSD, 12/19 parents or caregivers, 35/37 healthcare providers, and 19/30 other stakeholders. Components of successful fertility-related care included: 1) specific discussions surrounding the relationship between DSD and fertility potential, options for fertility preservation, and options for non-biologic parenthood; 2) early and repeated introduction of these topics; and 3) consideration of age, developmental maturity, and cultural context on decisions around fertility. Challenges include the lack of fertility outcome data in this population and the irreversibility of gonadectomy. Trade-offs identified included anatomic typicality versus function, fertility preservation versus cancer risk reduction, and balancing the different priorities of stakeholders. 

Discussion/Conclusions: A wide range of DSD stakeholders highlighted the importance of addressing fertility concerns in achieving favorable outcomes for individuals with DSD. These stakeholder perspectives should inform fertility-related education, shared decision-making processes, and clinical care.
DOI: 10.6084/m9.figshare.5146573.v1
title: Participant Information

description: Participant Information