cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.j34aen
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina silus (Ascanius, 1775)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((44.0031 -15.9691,43.978 -16.1504,44.9648 -16.1504,44.9648 -15.5455,44.7261 -15.708,44.2309 -15.7446,44.0031 -15.9691))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013294-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.14520057.v1
title: Biodiversity of native mushrooms of North Africa: their uses, distribution and diversity. A systematic review

description: Biodiversity of native mushrooms of North Africa: their uses, distribution and diversity
DOI: 10.6084/m9.figshare.14672187.v1
title: sud2018-alc

description: GWAS summary statistics from the Psychiatric Genomics Consortium (PGC)
DOI: 10.6084/m9.figshare.14716728.v1
title: Supplementary Material for: A Scientometric Analysis of the 100 Most Cited Articles on Pallidotomy

description: <b><i>Background:</i></b> Pallidotomy is the oldest stereotactically performed neurosurgical procedure for movement disorders. Consequently, there is a wealth of literature available on the topic. <b><i>Objectives:</i></b> The aim of this analysis was to identify the top-cited articles on pallidotomy in order to discern the origins, spread, the current trends, and the future directions of this surgical procedure. <b><i>Methods:</i></b> We performed a search of the Web of Science database on 19 October 2020 using the keyword “pallidotomy.” The top-100 cited articles found were arranged in descending order on the basis of citation count (CC) and citation per year (CY). Relevant conclusions were derived. <b><i>Results:</i></b> The 100 top-cited articles were published between 1961 and 2017, in 24 journals. The average CC and CY were 118.1 (range – 856–46) and 5.326 (range – 29.52–2.09), respectively. The 3 most prolific authors were Lang AE (Neurologist – Toronto), Lozano AM (Neurosurgeon – Toronto), and Vitek JL (Neurologist – Atlanta). The Journal of Neurosurgery published the highest number of top-cited articles [Neurology. 1960;10:61–9]. The maximum articles were from the USA. University of Toronto and Emory University were the most productive institutions. <b><i>Conclusions:</i></b> Pallidotomy has gone through several ebbs and flows. Unilateral pallidotomy is currently recommended for the treatment of motor symptoms of Parkinson’s disease and dystonia. The need for further research and improved technology to make the technique safer and prove its efficacy is highlighted, especially keeping in mind a large number of populations to which the prohibitively expensive deep brain stimulation is unavailable.
DOI: 10.6084/m9.figshare.21629531.v1
title: Modeling (im)precision in context: Experimental Data

description: Experimental data of the study "Modeling (im)precision in context" by Roland Mühlenbernd and Stephanie Solt, published in the journal Linguistics Vanguard.
DOI: 10.17632/96r5rc8hr9
title: Porosity and pore size distribution of biochar from straw biomass - data for DOE

description: Biochar is produced by pyrolyzing biomass in the absence of oxygen and has considerable promise as a sorbent or carbon sequestration material. Despite several investigations on biochar properties, the biochar porosity and sorption properties achieved with varied pyrolysis settings remain mostly unknown. The goal of this work was to evaluate the interrelationships between temperature, material grain size, heating rate, and retention duration, as well as the effects of these interactions on the surface morphology of wheat straw biochar. Biochars made at various pyrolytic temperatures were tested for sorption, porosity, and pore size distribution. Elemental analysis, BET-N2 surface area analysis, ICP-OES, and Fourier transform infrared spectroscopy were used to evaluate 19 wheat straw biochars produced through pyrolysis at various temperatures (500 to 700 °C), heating rates (20 and 30 °C/min), and residence periods (5 and 15 min). The best settings for wheat straw pyrolysis and the variables that have a statistically significant effect on biochar quality were established using a full factorial design technique and variance analysis. At 700 °C, with a grain size of 0.5-1.0 mm and a heating rate of 20 °C/min and a residence period of 5 minutes, a high surface area of 400 m2/g and an average pore size of roughly 2.34 nm were produced.
DOI: 10.17632/tjc4jx3srm
title: Supermarket Data

description: Data collected from supermarkets across the united states. Essential aspects are Quantitative Variables: Annual Income, No of units sold and Revenue.
DOI: 10.6084/m9.figshare.21076270.v1
title: A2CSN-MILK-MICE.zip

description: A2 CASEIN MILK MICE EXPERIMENT.
DOI: 10.6084/m9.figshare.26824318.v3
title: Primary Survey Data in the MRT

description: <b>Background</b>The Indonesian government built the Mass Rapid Transit (MRT) in Jakarta to reduce traffic congestion and carbon dioxide (CO<sub>2</sub>) emissions. The objective of this study is to estimate the CO<sub>2</sub> emissions reductions from switching from private transport to MRT by using a methodology proposed by the United Nations Convention on Climate Change (UNFCCC) for developing countries, namely the Clean Development Mechanism (CDM) methodology, which generates Certified Emission Reductions (CERs). This methodology is more comprehensive than other available methodologies. However, this method has not been widely used to calculate greenhouse gas (GHG) emission reductions in mass transit projects because it is complex enough to require a lot of data based on primary surveys. Therefore, this research simplifies the CDM formula to make it easier and applicable in Indonesia.<b>Methods</b>The primary data were collected using a questionnaire distributed to 480 MRT Jakarta Phase 1 user respondents in September 2019 (baseline); the secondary data were obtained from The MRT Jakarta. The data were processed using IBM SPSS Statistics 27. The simplified Clean Development Mechanism Approved Consolidated Methodology 0016 (CDM ACM 0016) was the analysis method used<b>Result</b>The results of this study indicate that 53.75% of MRT Jakarta Phase 1 users are shifting from private transportation, which has reduced CO<sub>2</sub> emissions by 2,732.7 tons in 2019 and 6,043.9 tons in 2023. Increasing the number of MRT passengers who switch from private transportation will further reduce CO<sub>2</sub> emissions.<b>Conclusion and implications</b>The simplified CDM ACM 0016 formula may be suitable for use in Indonesia. This would enable the measurement of CO₂ emission reductions through mitigation actions through MRT development to be certified by the UNFCCC. Applying this method in calculating CO₂ emission reductions, implementing strategies to increase MRT passengers, and using renewable energy electricity sources would increase CO₂ emission reductions
DOI: 10.6084/m9.figshare.28927442.v1
title: neotropical felid camera + diet data

description: Diet metabarcoding and camera trap data from the Maya Biosphere Reserve of Guatemala
DOI: 10.6084/m9.figshare.29013377.v2
title: Mental Health Service Needs and Use among Rwandan Caregivers

description: Dataset and data dictionary for a study examining mental health service needs and use among Rwandan caregivers
DOI: 10.6084/m9.figshare.8198999.v1
title: Data from "Optogenetic control of Bacillus subtilis gene expression"

description: Flow cytometry data used to produce the figures in "Optogenetic control of Bacillus subtilis gene expression"
DOI: 10.17632/2fz478mzyn
title: Supplement to Association of cutaneous immune-related adverse events with improved overall survival among patients with cutaneous squamous cell carcinoma treated with palliative PD-1 inhibition

description: Supplement to Association of cutaneous immune-related adverse events with improved overall survival among patients with cutaneous squamous cell carcinoma treated with palliative PD-1 inhibition
DOI: 10.6084/m9.figshare.13130303.v2
title: Dataset for Enhancement of EPC migration by high-dose lisinopril is superior compared to captopril and ramipril

description: Dataset for Enhancement of EPC migration by high-dose lisinopril is superior compared to captopril and ramipril
DOI: 10.6084/m9.figshare.23607672.v1
title: patient49.rar

description: A Patient with fundus images that taken by Ret-cam.
DOI: 10.6084/m9.figshare.27440538.v1
title: Supplementary Material for: Oscillatory blood pressure values in newborn infants: observational data over gestational ages

description: Introduction: Normative blood pressure (BP) values on preterm infants exist but are based on small cohorts of infants. Utilizing electronic medical records (EMR), we can explore earlier gestational ages (GA) and follow their progression to 40 weeks corrected gestational age (CGA).

Methods: A retrospective cohort study of infants within the SSM Health System from 7/01/2013 through 6/30/2023. Infants born at &gt;22 0/7 weeks but &lt; 41 weeks GA were included if any BP measurements existed (n=29,323 infants, 1.4 million BPs). Data was extracted electronically from EMR using Microsoft SQL. Systolic BP (SBP), mean arterial pressures (MAP), and Diastolic BP (DBP) were determined for each week of life from birth and percentile ranges (1st to 99th) for infants alive at CGA, and BP patterns for GA determined. 

Results: Percentiles for SBP, DBP and MAP are provided. There is a rapid increase in BP at all gestations during the first two weeks, thus BP values are higher at any CGA in infants born at an earlier GA than infants born at that GA. For MAP values between the 5th and 10th percentile, the GA is appropriate for first week then use CGA + 5 mmHg. After the first week, 2.8 X CGA is between 90 and 95 percentile for SBP. . . 

Conclusions: The BP is dependent on the gestational age at birth and the corrected gestational age when it is measured. SBP, MAP, and DBP all increase rapidly in the two weeks of life prior to a gradual increase over time.
DOI: 10.6084/m9.figshare.27934602.v1
title: Data for "Twenty years (2000 - 2020) of butterfly monitoring data in the contiguous United States"

description: Data from an integrated butterfly monitoring dataset the United States from 2000-2020. Data span 19 butterfly monitoring programs and the integrated dataset contains over 1.2 million count records, from 65,000 surveys, representing over 12.6 million individual butterflies. Data sharing policies vary across programs so data have been anonymized as appropriate per each program's request. In addition to the integrated dataset, we share the code used to compile and clean raw data, harmonize taxonomy, and validate the final dataset. This dataset is a more granular version of the data used in the publication "Rapid butterfly declines across the United States during the 21st Century". The data for that publication is available here: https://doi.org/10.6084/m9.figshare.27934629.v1The Code map file in the parent directory provides general descriptions of the provided code. A key note is that much of the provided code will <i>not </i>run because we are not sharing non-anonymized data. Some programs allow raw data to be shared, others require that latitude and longitude are rounded to obscure exact sampling locations. Similarly with site IDs some programs share siteIDs as reported in the original data, others require anonymized site IDs. The details of each program's data sharing permissions can be found in '1_raw_data.' Despite the fact that we cannot share all raw data with this data release, we shared all the code used to assemble the original integrated dataset. A guide to the code, data, and sequence of analysis can be found in '3_scripts/clean-run.R'. If a user were to request and obtain the original data files from program directors, this script will assemble the original, integrated dataset. The one script in the directory that will run here is '3_scripts/data-figures-eh.R'; it will replicate the figure from the publication. The taxonomic dictionaries we used to harmonize taxonomy across programs can be found in '2_data_wrangling/dictionaries' and the script in which the dictionaries are used is in '3_scripts/data-cleaning-scripts/final-data-integration.R'. These dictionaries and scripts may be useful for other work harmonizing names/taxonomies.This work is a product of the Status of Butterflies working group funded by the USGS John Wesley Powell Center for Analysis and Synthesis.
DOI: 10.17632/3fbmvp6swp
title: Supplementary Figures and Tables

description: Legends for Figures Supplementary Fig 1. Gene Ontology analysis enrichment analysis for the top 32 genes with alterations in seven or more cases. Plots of -log10 (p-values) are described, and the terms with p-values less than 0.01 are shown. Supplementary Fig 2. Correlation between altered genes and metastatic sites. Plots of -log10 (p-values) versus log2 (Odds ratios) are shown. Gene names with p-values less than 0.1 are displayed. 71 patients with available metastatic data were analyzed. Fisher's exact test was used to determine the correlation between bone, liver or lung metastasis and the top 99 genes with alterations in four or more cases. Odds ratios were evaluated with Haldane-Anscombe correction, which added 0.5 to each cell count to avoid calculation errors with a cell count of zero. Supplementary Fig 3. Lollipop plots of ERBB2, ERBB3, and TP53 showing the frequency of mutations in our EMPD cohort. Oncogenic mutations are written in red letters. The number of green circles represents the number of cases with each mutation.
DOI: 10.17632/6trgb6jnpd
title: Database of the modern flora present in the Inhambane district and their respective anatomical features. 

description: Database of the modern flora of Inhambane (Mozambique) created to facilitate charcoal identification.
DOI: 10.6084/m9.figshare.11522082.v1
title: SCs

description: The file contains 4 batches with a total of 113 supercapacitors. Each supercapacitor test is recorded in a excel file.
DOI: 10.6084/m9.figshare.16767088.v1
title: Field measurements of season 2.zip

description: Field measurements of season 2
DOI: 10.6084/m9.figshare.23666844.v3
title: Additional file 7: Endosymbiont assemblies and annotations of Candidatus Portiera aleyrodidarum from six populations of Bemisia tabaci s.l.

description: Candidatus Portiera aleyrodidarum (six populations of <em>Bemisia tabaci s.l.</em>), complete annotations and chromosome sequences. <br> Includes custom script to help with Flye assembler output parsing.
DOI: 10.6084/m9.figshare.3512939.v1
title: Appendix A. A table of pollens collected by Osmia lignaria at different sites within the agricultural-natural landscape.

description: A table of pollens collected by Osmia lignaria at different sites within the agricultural-natural landscape.
DOI: 10.17632/2xnn95rpb5
title: Structural Health Monitoring of A Cable-Stayed Bridge

description: A small set of dynamic features of a cable-stayed bridge in a short-term monitoring process is provided to utilize in research activities regarding structural health monitoring (SHM). This dataset contains 216 modal/natural frequencies of nine days of measurements. The modal frequencies (dynamic features) have been identified by an automated frequency domain decomposition (FDD) technique in four stable modes. The first 192 samples of the modal frequencies are related to the undamaged condition of the bridge (i.e., the first eight days of measurements) and the remaining 24 samples of the modal frequencies belong to the damaged state. 

This dataset is suitable for applying to SHM problems based on data-driven methods under the concept of machine learning/unsupervised learning/anomaly detection. The major challenges in this dataset, which can be incorporated into further research, can be categorized as technical and engineering issues. The former is concerned with the problem of generalization of machine learners and their overall performances under small data. The latter pertains to the problem of environmental and/or operational variability and their effects on the modal frequencies.

If you use this dataset, please cite the following article:

Daneshvar, M. H., and Sarmadi, H. (2022). "Unsupervised learning-based damage assessment of full-scale civil structures under long-term and short-term monitoring." Engineering Structures, 256, 114059. https://doi.org/10.1016/j.engstruct.2022.114059
DOI: 10.6084/m9.figshare.13204307.v1
title: R0184-DLC_output

description: deeplabcut output and processed 3D reconstructions of data for rat 0184."_direct" zip files contain .csv's from the direct view and .mat files with cropping regions"_right/left" zip files contain .csv's from the mirror view and .mat files with cropping regions"_processed" files contain 3D reconstructions and reach analyses
DOI: 10.6084/m9.figshare.13636157.v2
title: An Interactive Detector for Spatial Associations: Data and Codes

description: Data and codes in the paper "An interactive detector of spatial associations".<br>In the figshare site, 19 files are provided. The files include:<br>(1) “Data and codes.pdf”This file contains data and codes used to create all figures in the manuscript.<br>(2) Six “.rda” files, including “simdata.rda”, “data.figure6.rda”, “data.figure7.rda”, “data.figure9.rda”, “data.figure11.rda” and “data.figure12.rda”The “.rda” files are the datasets used to create figures 2, 3, 4, 6, 7, 9, 11 and 12. Data used to create other figures are listed in tables in the file “Data and codes.pdf”.<br>(3) “model.R”The IDSA model code can be run in R using “model.R” with the simulation dataset “simdata.rda”.<br>(4) Other 11 “.R” filesThey are used to compute and visualize the IDSA model in this study. Codes of using these functions are presented in the “Data and codes.pdf” and “model.R”.<br>
DOI: 10.6084/m9.figshare.22303000.v1
title: Supplementary Material for: Hospitalizations of chronic dialysis patients: a national study in China

description: Background Patients receiving chronic dialysis are usually with multiple comorbidities and at high-risk for hospitalization, which lead to tremendous healthcare resources utilization. This study aims to explore the characteristics of hospitalizations among chronic dialysis patients in China. Methods Hospital admissions from January 2013 to December 2015 were extracted from a national inpatient database in China. Chronic dialysis, including hemodialysis and peritoneal dialysis, were identified according to inpatients discharge records and International Classification of Diseases-10 (ICD-10) codes. The primary kidney disease, causes of admissions, modalities of dialysis, and comorbidities were analyzed. Multivariable Logistic regression model was used to assess the association of patient characteristics with multiple hospitalizations per year. Results Altogether, 266,636 hospitalizations from 124,721 chronic dialysis patients were included in the study. The mean age was 54.46±15.63 years and 78.29% of them were receiving hemodialysis. The leading cause of hospitalizations was dialysis access-related, including dialysis access creation (25.06%) and complications of access (21.09%). The following causes were non-access surgery (1.89%), cardiovascular disease (1.66%), and infectious diseases (1.43%). One fourth of the patients were hospitalized more than once per year. Multivariate Logistic regression models indicated that the primary kidney disease of diabetic kidney disease (odds ratio [OR]: 1.16, 95% confidence interval [CI]: 1.11-1.22) or hypertensive nephropathy (OR: 1.33, 95% CI: 1.27-1.40), coronary heart disease (OR: 1.09, 95% CI: 1.05-1.14), cancer (OR: 1.21, 95% CI: 1.13-1.30), or modality of peritoneal dialysis (OR: 2.67, 95% CI: 2.59-2.75) were risk factors for multiple hospitalizations. Conclusion Our study described characteristics and revealed the burden of hospitalizations of chronic dialysis patients in China. These findings highlight the importance of effective and efficient management strategies to reduce the high burden of hospitalization in dialysis population.
DOI: 10.6084/m9.figshare.6984035.v1
title: Durum Wheat (cv. Svevo) annotation

description: GFF3 and VCF files
DOI: 10.17632/x2ts5kh9xs
title: Comprehensive Rose Leaf Disease Dataset for AI-Enhanced Plant Pathology Research

description: 1. Roses are highly valued in the horticultural industry due to their aesthetic appeal and monetary worth. However, numerous diseases that can seriously affect plant health and productivity often pose a challenge to their cultivation. It is essential to accurately and promptly identify leaf diseases in order to treat these issues. A carefully selected collection, the Rose Leaf Disease Dataset is intended to help horticulturists, researchers, and machine learning professionals identify and categorize diseases that impact rose leaves. This collection of high-resolution images of rose leaves displays a variety of situations, including diseases and healthy ones. It covers several prevalent rose leaf diseases, such as Black Spot, Downy Mildew, Insect Hole, Powdery_Mildew, Rose_Mosaicand and Rose_Rust. Extensive annotations are appended to every image, offering discernible information regarding the kind and intensity of the ailment, thus enabling accurate and dependable model training and validation. Furthermore, the information is enhanced with metadata that documents the geographical locations and ambient conditions of the image captured. This contextual data can improve the precision of predictive models and is essential for comprehending the variables influencing the occurrence of disease.
2. These days, deep learning and computer vision techniques hold a lot of promise for handling these kinds of classification and detection tasks.
3. A thorough dataset for Rose Leaf Disease is presented in order to develop deep learning methods. This dataset's classifications were created in cooperation with a subject matter expert from an agricultural institute.
4. A total of 10300 images of Black Spot(3000), Downy Mildew(1102), Insect Hole(2360), Powdery_Mildew(1000), Rose_Mosaicand (1000), Rose_Rust (1000),Fresh(3845) were gathered from four different places here in Bangladesh they are : Sadullapur, Birulia Union, Savar, Dhaka (Latitude :23° 50' 13" north, Longitude:90° 19' 15" east), Godkhali Flower Garden,Jhikorgachha, Jessore(Latitude: 23.0833° North Longitude: 89.0667° East), Bangladesh Agricultural Development Corporation, Kashimpur, Gazipur. (latitude:23.9778° North and longitude: 90.3225° East) and Mogra Union, Ghior Upazila, Manikganj District (Latitude: 23.8833° North and Longitude: 89.8333° East)Then, in order to balance the dataset for transformer learning model , 3845 augmented images were created from these original images for each class by applying techniques such as flipping, width shifting, height shifting, brightening, rotating, shearing, and zooming.