cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17197928.v1
title: Inconsistent Retirement Timing

description: AbstractWe study the effect of inconsistent time preferences on actual and planned retirement timing decisions in two independent datasets. Theory predicts that hyperbolic time preferences can lead to dynamically inconsistent retirement timing. In an online experiment with more than 2,000 participants, we find that time-inconsistent participants retire on average 1.75 years earlier than time-consistent participants do. The planned retirement age of non-retired participants decreases with age. This negative age effect is about twice as strong among time-inconsistent participants. The temptation of early retirement seems to rise in the final years of approaching retirement. Consequently, time-inconsistent participants have a higher probability of regretting their retirement decision. We find similar results for a representative household survey (German SAVE panel). Using smoking behavior and overdraft usage as time preference proxies, we confirm that time-inconsistent participants retire earlier and that non-retirees reduce their planned retirement age within the panel.MethodsWe conduct an online experiment in cooperation with a large and well-circulated German newspaper, the Frankfurter Allgemeine Zeitung (FAZ). Participants are recruited via a link on the newspaper's website and two announcements in the print edition. In total, 3,077 participants complete the experiment, which takes them on average 11 minutes. Participants answer questions about retirement planning, time preferences, risk preferences, financial literacy, and demographics. The initial sample for this study consists of 256 retired participants and 2,173 non-retired participants.Usage NotesOur dataset: STATA Do File is attached Additional Datasets: In addition, a German Household Panle is used in this paper. The data cannot be uploaded by us but is available via the Max Planck Institute (https://www.mpisoc.mpg.de/en/social-policy-mea/research/save-2001-2013/). We upload the Do-Files used in the analysis and the results in an excel format (xlsx).<br>
DOI: 10.6084/m9.figshare.22082666.v1
title: CIED-Additional description

description: The Chinese Industrial Emissions Database (CIED) provides inventory of particulate matter (PM), SO2 and NOX from Chinese industries from 2015 to 2018, based on direct measurements from China’s continuous emission monitoring systems (CEMS) network. The document provides additional description on the database, including subcategories description, flue gas rates, and comparison of uncertainty.
DOI: 10.6084/m9.figshare.26069164.v1
title: Original IQ Waveform

description: IQ Waveform
DOI: 10.6084/m9.figshare.4451420.v1
title: Measurements of electrical energy harvesting from Cu-Zn cell for ingestible devices

description: Supporting materials for our paper: "Prolonged energy harvesting for ingestible devices" Nature Biomedical Engineering, Feb 2017<br>Here we present: (1) data collected during our wireless capsule experiments in pigs, (2) the schematics of the board designs used to acquire the data, and (3) the micro controller code that ran the experiments.<br>Please see the paper for a full discussion on the methodology, techniques, and interpretation. Link to the paper: http://dx.doi.org/10.1038/s41551-016-0022
DOI: 10.6084/m9.figshare.5765367.v1
title: OSL.xlsx

description: Mock email entries for the OSL Department
DOI: 10.6084/m9.figshare.6265721.v1
title: Ground Truth

description: Ground Truth Provided in MAT format. Pulmonary Embolism regions are determined by the gray-level 1 as the foreground, in contrast to the background with the gray-level 0.
DOI: 10.6084/m9.figshare.3545567.v1
title: Dr Anand Kumar Biodata.docx.doc

description: This is my bio data<br>
DOI: 10.6084/m9.figshare.1046602.v1
title: High performance computing in neuroimaging using BROCCOLI

description: High performance computing in neuroimaging using BROCCOLI.
DOI: 10.6084/m9.figshare.23621046.v1
title: Eggs of Alive.zip

description: There is only one type of target in the dataset, living <em>Pomacea canaliculata</em> eggs. The dataset contains a total of 10,592 images. And, if you would like to use this dataset, please contact the authors.
DOI: 10.6084/m9.figshare.16999363.v1
title: EBH-HE-IDS

description: EBH-HE-IDS is a new publicly available Enteroscope Biopsy Histopathological Hematoxylin and Eosin Image Dataset of 5532 electron microscopy images of histopathological sections of colorectal cancer, including five tumor differentiation stages. They are Normal, Polyp, Low-grade Intraepithelial Neoplasia (Low-grade IN), High-grade Intraepithelial Neoplasia (High-gradeIN), and Adenocarcinoma. Four magnifications exist in this database, 40×, 100×, 200× and 400×.
DOI: 10.6084/m9.figshare.3385780.v2
title: Distributed Solar Photovoltaic Array Location and Extent Data Set for Remote Sensing Object Identification

description: Earth-observing remote sensing data, including aerial photography and satellite imagery, offer a snapshot of the world from which we can learn about the state of our environment, anthropogenic systems, and natural resources. The components of energy systems that are visible from above may be assessed with these remote sensing data when combined with machine learning methods. Here we focus on the information gap in distributed solar photovoltaic (PV) arrays, of which there is limited data on solar PV deployments at small geographic scales. We created a machine learning dataset to develop the process of automatically identifying solar PV locations through the use of remote sensing imagery.<br>This dataset contains the geospatial coordinates and border vertices for 19,863 solar panels across 601 high resolution images from four cities in California. Dataset applications include training object detection and other machine learning algorithms that use remote sensing imagery, developing specific algorithms for predictive detection of distributed PV systems, and analysis of the socioeconomic correlates of PV deployment.<br>Links to the aerial photographs from Fresno, Stockton, Oxnard, and Modesto can be found in the references.
DOI: 10.6084/m9.figshare.24425470.v3
title: Butoh Impedance Before and After - 02-09-2023

description: Impedance data collected before and after the rehearsal and control tasks performed on 02-09-2023
DOI: 10.6084/m9.figshare.24847452.v1
title: Dataset and model code revision

description: ① environmental data measured by 197 meteorological stations in the Yangtze River Economic Belt; ② Collected samples of the existence of Erigeron Annuus from the Botanical Museum; ③ Model prediction code used.
DOI: 10.6084/m9.figshare.26089474.v1
title: AIMD Trajectories

description: AIMD and MLFF trajectories for GraNNField simulation package.
DOI: 10.6084/m9.figshare.7393145.v3
title: The Offset Normal Shape Distribution for Dynamic Shape Analysis

description: This article deals with the statistical analysis of landmark data observed at different temporal instants. Statistical analysis of dynamic shapes is a problem with significant challenges due to the difficulty in providing a description of the shape changes over time, across subjects and over groups of subjects. There are several modeling strategies, which can be used for dynamic shape analysis. Here, we use the exact distribution theory for the shape of planar correlated Gaussian configurations and derive the induced <i>offset-normal</i> shape distribution. Various properties of this distribution are investigated, and some special cases discussed. This work is a natural progression of what has been proposed in Mardia and Dryden, Dryden and Mardia, Mardia and Walder, and Kume and Welling. Supplemental materials for this article are available online.
DOI: 10.6084/m9.figshare.815924.v1
title: Gaussian Job Archive for C18H25NO4

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.17632/gh9pwf8fph
title: Exploring the relationship between predicted negative energy balance and its biomarkers of Holstein cows in first-parity early lactation

description: S1. Pearson correlations between the LPNEB, LEDS, 15 biomarkers and 3 production traits (below diagonal, n=30,634), between the LRNEB, LPNEB, LEDS, 15 biomarkers and 3 production traits (above diagonal, n=965) .
S2. The P-values of pearson correlations between the LPNEB, LEDS, 15 biomarkers and 3 production traits (below diagonal, n=30,634), between the LRNEB, LPNEB, LEDS, 15 biomarkers and 3 production traits (above diagonal, n=965) .
S3. The ranges of standard errors (SE) of heritability (diagonal), genetic correlations (above the diagonal), and phenotypic correlations (below the diagonal) among LRNEB, LPNEB, LEDS, 15 biomarkers, and 3 production traits are reported. 
S4. The P-values of heritability (diagonal), genetic correlations (above the diagonal), and phenotypic correlations (below the diagonal) among LRNEB, LPNEB, LEDS, 15 biomarkers, and 3 production traits are reported.
DOI: 10.6084/m9.figshare.1326657.v1
title: Corpus 200 Emails

description: Corpus of 200 multilingual emails (Spanish, English and Portuguese) equally distributed (100 ham and 100 spam).
DOI: 10.6084/m9.figshare.19674330.v4
title: Data from A Survey of Vocal Mimicry in Companion Parrots

description: Data form the bassis of all analyses reported in benedict et al. "A Survey of Vocal Mimicry in Companion Parrots" <br> The data set includes information about the number of "words' "phrases" and "sounds" mimicked by 877 parrots, along with sex, age, and social interaction information. <br> Data collected as part of the "What Does Polly Say?" Citizen science project
DOI: 10.6084/m9.figshare.21303741.v1
title: Supplementary Material for: Evaluation of an Artificial Intelligence-based Detector of Sub- and Intra-Retinal Fluid on a large set of OCT volumes in AMD and DME

description: Abstract Introduction: In this retrospective cohort study, we wanted to evaluate the performance and analyze the insights of an artificial intelligence (AI) algorithm in detecting retinal fluid in spectral-domain OCT volume scans from a large cohort of patients with neovascular age-related macular degeneration (AMD) and diabetic macular edema (DME). Methods: A total of 3’981 OCT volumes from 374 patients with AMD and 11’501 OCT volumes from 811 patients with DME, acquired with Heidelberg Spectralis OCT device (Heidelberg Engineering Inc., Heidelberg, Germany) between 2013 and 2021. Each OCT volume was annotated for the presence or absence of intraretinal fluid (IRF) and subretinal fluid (SRF) by masked reading center graders (ground truth). The performance of an already published AI-algorithm to detect IRF, SRF separately and a combined fluid detector (IRF and/or SRF) of the same OCT volumes was evaluated. An analysis of the sources of disagreement between annotation and prediction and their relationship to central retinal thickness was performed. We computed the mean areas under the curves (AUC) and under the precision-recall curves (AP), accuracy, sensitivity, specificity and precision. Results: The AUC for IRF was 0.92 and 0.98, for SRF 0.98 and 0.99, in the AMD and DME cohort, respectively. The AP for IRF was 0.89 and 1.00, for SRF 0.97 and 0.93, in the AMD and DME cohort, respectively. The accuracy, specificity and sensitivity for IRF was 0.87, 0.88, 0.84, and 0.93, 0.95, 0.93, and for SRF 0.93, 0.93, 0.93, and 0.95, 0.95, 0.95 in the AMD and DME cohort respectively. For detecting any fluid, the AUC was 0.95 and 0.98, the accuracy, specificity and sensitivity was 0.89, 0.93, 0.90 and 0.95, 0.88 and 0.93, in the AMD and DME cohort, respectively. False positives were present when retinal shadow artifacts and strong retinal deformation were present. False negatives were due to small hyporeflective areas in combination with poor image quality. The combined detector correctly predicted more OCT volumes than the single detectors for IRF and SRF, 89.0% versus 81.6% in the AMD and 93.1% versus 88.6% in the DME cohort. Discussion/Conclusion: The AI-based fluid detector achieves high performance for retinal fluid detection in a very large dataset dedicated to AMD and DME. Combining single detectors provides better fluid detection accuracy than considering the single detectors separately. The observed independence of the single detectors ensures that the detectors learned features particular to IRF and SRF.
DOI: 10.17632/m7w55sw88b
title: PMRAM: Bangladeshi Brain Cancer - MRI Dataset

description: This Bangladeshi Brain Cancer MRI Dataset is a large dataset of Magnetic Resonance Imaging (MRI) images created to aid researchers in medical diagnosis, especially for brain cancer research. This collection contains a total of 1600 raw photos (every class have 400 raw images) after augmentation it contains total 6000 images, which are wisely divided into four main categories as: 

Glioma -1500 images 

Meningioma -1500 images 

Pituitary-1500 images 

No Tumor-1500 images 

All the images in this dataset were collected from different hospitals around Bangladesh. It brought diversity and representation into the sample. To make the images compatible with various image processing, machine learning and deep-learning pipelines as possible they are then resized to a standardize size of 512×512. 

This dataset is incredibly significant since high-quality data, such as medical imaging data, are few and difficult to obtain, particularly in the context of brain cancer. Assume that four prominent doctors collaborate on data collection in order to give more accurate and helpful content. It made it feasible. The cooperation emphasizes the dataset's potential to improve medical practice today by providing a dependable supply of diagnoses for use in diagnostic tool creation and testing within current medicine. 

This dataset can be used by researchers and practitioners for a variety of applications such as Dense net 201, yolov8x/s, CNN, resnet50v2, VGG-16, MobilenetV2 etc. 

 

Image Processing Details: 

 

Images are randomly rotated within a range of 45 degrees. (rotation range=45) 

Images are horizontally shifted by up to 20% of the width of the image. (width_shift_range=0.2) 

Images are vertically shifted by up to 20% of the height of the image. (height_shift_range=0.2) 

Shear transformation is applied to the image within a range of 20%. (shear range=0.2) 

Images are randomly zoomed in or out by up to 20%. (zoom range=0.2) 

Images are randomly flipped horizontally. (horizontal flip=True) 

When transformations like rotations or shifts leave empty areas in the image, they are filled in by the nearest pixel values. (fill mode='nearest') 

 

Hospital List(for Data Collection): 

Ibn Sina Medical College, Kollanpur, 1, 1-B Mirpur Rd, Dhaka 1207 

Dhaka Medical College & Hospital, Secretariat Rd, Dhaka 1000 

Cumilla Medical College, Kuchaitoli, Dr. Akhtar Hameed Khan Road, Cumilla 3500, Bangladesh 

 

Supervisor & investigator: 

Md. Mizanur Rahman 

Lecturer, 

Computer Science and Engineering 

Daffodil International University 

Dhaka, Bangladesh 

mizanurrahman.cse@diu.edu.bd 

 

 

Data Collectors: 

Md Shahriar Mannan Prottoy 

Mahtab Chowdhury 

Redwan Rahman 

Azim Ullah Tamim
DOI: 10.17632/nvgyvynysv
title: Urban-flood-dataset

description: urban flood dataset
DOI: 10.6084/m9.figshare.14707293.v1
title: Porn Literacy: List of included articles

description: List of all articles returned in "Competence in mediated sexuality" domain by Search and Analysis Protocol
DOI: 10.6084/m9.figshare.21393375.v2
title: Geometric morphometric versus genomic patterns in a large polyploid plant species complex

description: Processed image data (jpeg) and tps files for further geometric morphometric analyses.
DOI: 10.6084/m9.figshare.5702740.v1
title: Materials database of Curie and Néel magnetic phase transition temperatures

description: Materials database of Curie and Néel magnetic phase transition temperatures. Each record contains a field indicating the type of phase transition (Curie or Néel), a compound or label, extracted and normalised values and units, the article title, journal, DOI, and authors of the source article. Furthermore, if the record was retrieved using the modified Snowball quaternary relationship extraction stage, the record contains the associated confidence score. The database can be downloaded in MongoDB, CSV or JSON formats.
DOI: 10.17632/c73y5j36g2
title: Supplementary data to the article: A Novel Connectivity Metric of Identified Multi-cluster Fracture Networks in Permeable Formations

description: In the folder ShareData:
connectivitylargestcluster.txt: Connectivity metric data for all 80 outcrop maps considering no fracture sealing and the central cluster is the largest cluster.
connectivitylargestcluster0.05.txt: Connectivity metric data for all 80 outcrop maps considering 5 percent fracture sealing and the central cluster is the largest cluster.
connectivitylargestcluster0.1 .txt: Connectivity metric data for all 80 outcrop maps considering 5 percent fracture sealing and the central cluster is the largest cluster.
connectivitysmallestcluster.txt: Connectivity metric data for all 80 outcrop maps considering no facture sealing and the central cluster is the smallest cluster.
connectivitysmallestcluster0.05.txt: Connectivity metric data for all 80 outcrop maps considering 5 percent facture sealing and the central cluster is the smallest cluster.
connectivitysmallestcluster0.1 .txt: Connectivity metric data for all 80 outcrop maps considering 10 percent facture sealing and the central cluster is the smallest cluster.
map_1-80_connectivitylargestcluster-new: Connectivity metric data for all 80 outcrop maps considering adding one infinitely large fracture at different orientations.
resultanalysis.mlx:A Matlab code to plot figures and tables in the manuscript and supporting information.
DOI: 10.17632/hzwsdg4rvk
title: Data on soil organic carbon prection using remote sensing

description: Data associated with the manuscript "Assessing the accuracy of soil organic carbon estimation in agricultural fields using satellite and UAV images under semiarid conditions"
DOI: 10.17632/xs4jp246zd
title: Publications on the Financial exclusion

description: All 378 publications on the topic of the Financial exclusion on Scopus for bibliometric analysis!
DOI: 10.6084/m9.figshare.19641519.v2
title: Dataset FOR FAIR Project

description: Dataset of 45 patients with their pathology
DOI: 10.6084/m9.figshare.21820647.v1
title: Supplementary Material for: Favorable Outcome with Intravenous Immunoglobulin Therapy in Late-Onset Anti-mGluR1 Encephalitis: A Case Report and Literature Review

description: Anti-metabotropic glutamate receptor 1 (mGluR1) encephalitis is a rare autoimmune disorder manifesting with cerebellar syndrome. Patients with mGluR1 encephalitis have been treated with immunomodulatory therapies; however, little is known about the efficacy of this therapy. A 58-year-old Japanese woman presented with dizziness when walking and standing up. Symptoms persisted and the patient gradually deteriorated. The neurological examination revealed a broad-based gait, horizontal and slightly gaze-evoked nystagmus, noticeable head titubation, and truncal ataxia without limb ataxia. Magnetic resonance imaging was normal. The <sup>123</sup>I-isopropyl-iodoamphetamine single-photon emission-computed tomography scans showed normal cerebellar perfusion. Based on a positive antibody test for anti-mGluR1, the patient was diagnosed with anti-mGluR1 encephalitis. She was treated with intravenous methylprednisolone and intravenous immunoglobulin (IVIg). Symptoms gradually improved over 1 month and almost disappeared after additional IVIg therapy. Anti-mGluR1 encephalitis is a rare disease, and effective treatment is unclear. In this case, a favorable outcome was obtained with immunomodulatory therapy, even though the neurological disability of the disease course is worse. We emphasize the importance of early diagnosis and therapeutic intervention, suspecting the disease on the basis of its characteristic symptoms.
DOI: 10.6084/m9.figshare.25219985.v1
title: KAP HIV self testing in High school and University students

description: KAP study HIV Data
DOI: 10.17632/52xszfstsd
title: Annual and State-Level Data on U.S. Total Fertility Rates, 1931–Present

description: This dataset reconstructs U.S. fertility trends with state-level Total Fertility Rates (TFR) from 1931 to the present, calculated annually. Birth data by maternal age and race (white and non-white) were digitized from the “Vital Statistics of the United States.” TFR calculations use interpolated census data on women aged 14–49. The dataset highlights regional shifts in fertility during the Baby Boom, later declines, and recent fluctuations, influenced by socio-economic and cultural factors. It provides a valuable tool for researchers and policymakers analyzing fertility determinants and their broader implications.
DOI: 10.6084/m9.figshare.13537007.v1
title: Characterization of 3D printed PLA, PCL and Janus blends

description: Analysis and characterization of 3D printed PLA, PCL and Janus structures formed from PLA/PCL blends. XRD was measured on polymer films. Flexural modulus on extruded beams. DMTA was measured on 3D printed single strands. Particle analysis was performed from microtomed and TEM imaged 3D printed structures
DOI: 10.6084/m9.figshare.16640974.v1
title: raw data (1).xlsx

description: <b>Economic complexity, shadow economy, and income inequality: <br> fresh evidence from panel data</b>
DOI: 10.6084/m9.figshare.21287892.v1
title: Stanford COVID-19 Hackathon Response Survey and Content Analysis

description: This dataset contains responses to a survey following a hackathon where students were tasked with coming up with solutions to mitigating COVID-19. Additionally, it contains content analysis of responses to these survey questions. This hackathon was part of the Stanford University course Biosecurity and Bioterrorism Response.
DOI: 10.17632/6x5czhchtf
title: Fig2-5_Tab1-2_for Analysis of Spread of COVID-19

description: This data includes:
(a) Daily reported numbers of COVID-19 cases in the US from early 2020 to May 2022.
(b) Determine the parameters and coefficients in the mathematical model l-i AIRv, an epidemic model developed from l-i AIR model, for analyzing the spread of COVID-19 in the presence of COVID-19 vaccinations. 
(c) Daily COVID-19 case counts with and without COVID-19 vaccination calculated from the l-i AIRv epidemic model
(d) Tables, Figures and related programs written in Excel. These tables and figures are used for the manuscript "Analysis of Spread of COVID-19 in the United States with and without vaccination using the l-i AIRv Epidemiological Model"
DOI: 10.6084/m9.figshare.19430360.v3
title: Genome annotation data for thebig-head schizothorcin (Aspiorhynchus laticeps)

description: The genome annotation files of <i>Aspiorhynchus laticeps</i> such as gff3, cds and protein files were shown in our dataset.
DOI: 10.6084/m9.figshare.26052307.v1
title: SRR1972917.aligned.bam

description: bam file