cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9z98kdkpyz
title: PM-HIP Mechanical Data Archive

description: This is the mechanical testing data archive from a neutron irradiation campaign of nuclear structural alloys fabricated by powder metallurgy with hot isostatic pressing (PM-HIP). Data in this archive include uniaxial tensile testing data, fractography of selected tensile bars, and nanoindentation. The irradiation campaign was designed to facilitate a direct comparison of PM-HIP to conventional casting or forging. Five common nuclear structural alloys were included in the campaign: 316L stainless steel, SA508 pressure vessel steel, Grade 91 ferritic steel, and Ni-base alloys 625 and 690. Irradiations were carried out in the Advanced Test Reactor (ATR) at Idaho National Laboratory (INL) to target doses of 1 and 3 displacements per atom (dpa) at target temperatures of 300ºC and 400ºC through the DOE Office of Nuclear Energy, Nuclear Science User Facilities (NSUF) project 15-8242.
DOI: 10.17632/ms8499495m
title: Dataset of Digital Media Analysis - New Media Coverage

description: This dataset, which reflects online attitudes towards the F1H20 sports tourism event held at Lake Toba, Indonesia, was collected from a variety of online media channels.
DOI: 10.6084/m9.figshare.14060951.v1
title: Supplementary Material for: Duration of Mechanical Ventilation and Extubation Success among Extremely Premature Infants

description: <b><i>Objective:</i></b> The objective of this study was to examine the duration of mechanical ventilation (MV) in days until the first successful extubation and the cumulative duration of MV until discharge of infants with gestational age (GA) &lt;26 weeks. We also aimed to explore associations between early clinical variables and the cumulative duration of MV. <b><i>Design and Setting:</i></b> This population-based study analysed data reported to the Norwegian Neonatal Network on extremely premature infants admitted between January 1, 2013, and December 31, 2018. <b><i>Results:</i></b> A total of 406 infants were included, of which 293 (72%) survived to discharge. The proportion successfully extubated on their first attempt was 34% of the infants born at GA 22–23 weeks, 50% at GA 24 weeks, and 70% at GA 25 weeks. Median postmenstrual age (PMA) at the first successful extubation was 27 weeks. The median duration of MV was 35, 24, and 12 days for infants born at GA 22–23, 24, and 25 weeks, respectively. Male sex and low 5-min Apgar score were independent early predictors for prolonged MV duration adjusted for GA in regression analyses. <b><i>Conclusions:</i></b> Most of the infants born at GA 25 weeks were successfully extubated on the first attempt. However, half of the infants born &lt;26 weeks experienced unsuccessful extubations, indicating a lack of useful clinical predictors of successful extubation. The median duration of MV in survivors was 4 weeks longer for infants at GA 22–23 weeks than for infants born at GA 25 weeks, while the difference in median PMA at the first successful extubation was 2 weeks.
DOI: 10.17632/3sxzh464tj
title: Skin of Color Representation in Dermoscopy Studies Distinguishing Benign from Malignant Skin Lesions: A Scoping Review

description: Supplementary Text 1
DOI: 10.17632/7g7bvptk56
title: Hippocampal delivery of neurotrophic factor-α1/carboxypeptidase E gene prevents neurodegeneration, amyloidosis, memory loss in Alzheimer's Disease male mice

description: Dataset for "Hippocampal delivery of neurotrophic factor-α1/carboxypeptidase E gene prevents neurodegeneration, amyloidosis, memory loss in Alzheimer's Disease male mice".
DOI: 10.17632/xmxxgvwrdg
title: DEM data of the paper: Morphometric analysis of the North Liuleng Shan Fault in the northern Shanxi Graben System, China: Insights into active deformation pattern and fault evolution

description: This dataset includes MERIT DEM data used for geomorphic analysis (Liulengshan_MERIT)and UAV survey data that were used to characterize the offset geomorphic features (GaojiayaoDEM, MijiayaoDEM, NanxicunDEM, and ShangzhuangDEM). People who want to use these data in their research must cite this dataset correctly.
DOI: 10.6084/m9.figshare.27019807.v1
title: EasyNanoMeta outputs.

description: The output results of EasyNanoMeta. The input datasets were human sputum samples.
DOI: 10.6084/m9.figshare.13159718.v1
title: Supplementary Material for: Association between Dialysis Modality and Infectious Diseases: Peritoneal Dialysis versus Hemodialysis

description: <b><i>Introduction:</i></b> For dialysis patients with end-stage kidney disease, infectious diseases (IDs) are the most common causes of hospitalization and death. However, the association between dialysis modality and IDs remains unclear. We aimed to determine the association between the dialysis modality and IDs. <b><i>Methods:</i></b> This retrospective observational cohort study compared the emergency hospitalization and mortality for IDs between peritoneal dialysis (PD) and hemodialysis (HD) patients. After propensity score matching, the risk factors were evaluated by the Cox proportional hazard regression models. <b><i>Results:</i></b> A total of 260 patients were compared – 130 of 135 PD and 130 of 706 HD patients. When the modality-specific ID (PD-catheter ID/peritonitis- and vascular access-related ID) was excluded, no significant differences in emergency hospitalization and mortality rates for overall IDs were observed between the PD and HD groups. Serum ferritin (HR, 2.17; CI, 1.06–4.43; <i>p</i> = 0.03) and Charlson Comorbidity Index (CCI) (HR, 1.24; CI, 1.01–1.52; <i>p</i> = 0.04) were significant predictors of emergency hospitalization for IDs, whereas age (HR, 1.12; CI, 1.05–1.19; <i>p</i> &lt; 0.001), male (HR, 3.38; CI, 1.01–11.3; <i>p</i> = 0.048), serum alkaline phosphatase (ALP) (HR, 6.87; CI, 2.18–21.7; <i>p</i> = 0.001), C-reactive protein (CRP) (HR, 10.7; CI, 3.55–32.1; <i>p</i> &lt; 0.001), and CCI (HR, 1.79; CI, 1.27–2.52; <i>p</i> &lt; 0.001) were significant predictors of ID mortality. When modality-specific ID was included, the emergency hospitalization rate for overall IDs was higher in the PD groups, and PD was a significant predictor of emergency hospitalization for IDs, whereas no significant difference in mortality rate for overall IDs was found between the PD and HD groups. <b><i>Conclusions:</i></b> ID events were not associated with dialysis modality when modality-specific ID was excluded, whereas the risk of modality-specific IDs was higher in PD than HD. Serum ferritin and ALP as well as age, male sex, CRP, and CCI were the risk factors for ID events.
DOI: 10.17632/kv7rzx5xvn
title: More Than Words: Fed Chairs’ Communication During Congressional Testimonies—Supplementary Material

description: Supplementary material for "More Than Words: Fed Chairs’ Communication During Congressional Testimonies" by Michelle Alexopoulos, Xinfen Han, Oleksiy Kryvtsov, Xu Zhang (Journal of Monetary Economics, 2023)
DOI: 10.17632/5k89wwj4v9
title: Ammonium Enables Reversible Aqueous Zn Battery Chemistries by Tailoring the Interphase

description: This is the dataset for the work named "Ammonium Enables Reversible Aqueous Zn Battery Chemistries by Tailoring the Interphase".
DOI: 10.17632/tphxzjkrh8
title: Raw data from JAAD research letter: Androgenetic alopecia present in the majority of patients hospitalized with COVID-19: The "Gabrin sign"

description: Raw data of the JAAD Research Letter: Androgenetic alopecia present in the majority of patients hospitalized with COVID-19 - The "Gabrin Sign". (10.1016/j.jaad.2020.05.079). Data of patients admitted due to severe COVID-19 in three Madrid hospitals. The study took place from March 23, 2020 to April 12, 2020. Dermatologists recorded the age, gender and alopecia diagnosis. Alopecia severity was evaluated using the Hamilton–Norwood scale (HNS) for males and the Ludwig scale (LS) for females.
DOI: 10.6084/m9.figshare.19700056.v1
title: DepMap 22Q2 Public

description: This DepMap release contains data from CRISPR knockout screens from project Achilles, as well as genomic characterization data from the CCLE project.<br>For more information, please see README.txt.
DOI: 10.17632/53wmkpchx4
title: Chemical Constituents and Chemotaxonomic studies from the Twigs of Neobalanocarpus heimii (King) P.S. Ashton (Dipterocarpaceae)

description: The chemical data of the isolated compounds from Neobalanocarpus heimii
DOI: 10.17632/7d3kjdwn5d
title: Health records dataset for the workforce in academic environment

description: The dataset was collated from staffs in different units of an academic institution for a period of four years (2018, 2019, 2021 and 2022). The dataset contains both bio and medical records.
DOI: 10.17632/n92vvbz88n
title: La evaluación externa en seis países de América Latina: balances y retos

description: Frente a la evaluación, el uso de sus resultados y la pertinencia de ambos, a pesar de ser realidades distintas; diferentes países latinoamericanos coinciden en una crítica común sobre la evaluación, la cual genera cuestionamientos sobre la pertinencia real que tiene sobre la educación de los estudiantes, la formación de los docentes y el mejoramiento de la calidad, y la necesidad de cambios trascendentales en esta dinámica hasta ahora manejada. Sobre esto nos movemos en dos discursos, el discurso de un sistema evaluador que le apuesta a una evaluación con fines de rankeo y selección, o el de aquellos que aparecen con nuevas propuestas en el uso de la evaluación, e introducen conceptos como mejoramiento docente, la prueba sólo como una herramienta de muchas más, incorporadas al propósito de calidad, y el rankeo visto como algo negativo y poco provechoso para la calidad. El propósito de este libro surgió a partir de estos discursos, en necesidad de detenernos ante todo este proceso evaluador, en pro de una escucha de las voces que se despiertan ante este fenómeno, y que tienen una demanda de transformación rápida de la evaluación, que se fundamenta con la palabra y los argumentos, ganados en la vivencia propia del proceso de aquella evaluación de calidad de la educación.
DOI: 10.17632/pk7txkgt4v
title: Visual Dataset of Traditional Portuguese Musical Instruments

description: This dataset was created to support classifying and preserving traditional Portuguese musical instruments using computer vision techniques. The hypothesis is that visual data when systematically organized and labelled, can effectively train machine learning models to recognize and classify Portuguese folk instruments. The dataset includes frames extracted from videos by 'A Música Portuguesa A Gostar Dela Própria' (MPAGDP), an association focused on documenting Portuguese cultural heritage. Five frames per video were selected and normalized to ensure consistency, enabling accurate analysis and model training.

The data can be used to identify features of Portuguese instruments, supporting applications in digital ethnomusicology, automated classification, and cultural studies. Researchers can interpret the data as a tool for deep learning and comparative analysis of visual characteristics across instrument types. This dataset provides a structured foundation for studies in cultural preservation, deep learning, and visual pattern recognition.
DOI: 10.17632/wxcbdvrh2t
title: Claustrum/dorsal Endopiriform cortex complex cell identity is determined 1 by Nurr1 and regulates hallucinogenic-like states.

description: Spatial Transcriptomics data for study titled "Claustrum/dorsal Endopiriform cortex complex cell identity is determined 1 by Nurr1 and regulates hallucinogenic-like states".
DOI: 10.17632/49v4wjwp5n
title: Results for diesel engine oils from 2.5L engine pick-up trucks

description: This folder contains the raw data obtained from used oils, extracted from hot and cold engines of 2.5-liter engine pick-up trucks, by using the two methods of the X-ray fluorescence technique (XRF): standard-less and calibrated, in order to determine the elements present and to establish the engine parts that wear out more easily and thus, to help with predictive maintenance of the trucks.
DOI: 10.17632/8smrcwbggx
title: CPO Production in Indonesia

description: The information on Crude Palm Oil (CPO) production in Indonesia is derived from the annual publications of the Indonesian Central Statistics Agency (BPS)
DOI: 10.17632/wt5gd7jvm6
title: Fuel Prices Reinforcement Learning Environment

description: Click on the link to access the folder
DOI: 10.6084/m9.figshare.28509764.v1
title: Supplementary Materials.docx

description: This study aimed to compare ivermectin residue concentrations in milk following pour-on administration to Holstein cows at different stages of the dry period and to determine the necessary milk withdrawal period. Thirty dry cows were evenly divided into three groups based on estimated calving dates and received a single pour-on treatment of ivermectin at 0.5 mg/kg BW either 10, 20, or 30 days before these dates. Milk samples were collected twice daily for seven consecutive days beginning on the second day after calving. The marker residue, 22,23-dihydroavermectin B1a, was measured using UPLC-MS/MS analysis, with the method showing strong correlation coefficients between 2.5 and 20 ng/mL. The limits of detection (LOD) and quantification (LOQ) were 2 ng/mL and 2.5 ng/mL, respectively. The concentration-time data were analyzed using a non-compartmental model, and the milk withdrawal period was calculated with WTM1.4 software. Results showed that when cows received ivermectin more than 10 days before calving, residue concentrations in milk were undetectable or present only in trace amounts, well below China’s MRL for ivermectin (10 ng/mL). In contrast, cows treated within 10 days before calving had a milk elimination half-life (t<sub>1/2λz</sub>) of 3.8 days for 22,23-dihydroavermectin B1a, with a peak concentration in milk of 13.75±8.12 ng/mL at 1.70±1.68 days post-calving. Based on these findings, no milk withdrawal period is required if the interval between administration and calving exceeds 10 days; however, a 4-day milk withdrawal period after calving is recommended if the interval is shorter.
DOI: 10.17632/nt73rwvcpd
title: Data for: A PSO-based algorithm for mining association rules using a guided exploration strategy

description: Datasets used in the paper
DOI: 10.17632/yrpjzfmzpz
title: Dissociation between objective and subjective perceptual experience in a population of hemianopic patients: A new form of blindsight?

description: To investigate the nature of the perceptual experience in the blind visual field, we submitted a group of HH patients to visual letter-detection and letter-identification tasks and assessed them by the Sensation Awareness Scale (Garric & al., 2019).
DOI: 10.17632/zkzczd5w26
title: Eutrophication Data

description: The dataset provides a detailed overview of various environmental parameters measured in Thol Lake, India, relevant to understanding eutrophication. It includes data on nutrient concentrations such as ammonia (NH3 & NH4+), nitrates (NO3), and total soluble phosphorus, which are critical indicators of potential algal blooms and eutrophication. Carbon dioxide (CO2) and dissolved oxygen levels are also recorded, offering insights into the respiratory and photosynthetic activities within the lake. The dataset encompasses measurements of total suspended solids (TSS), indicating particulate matter levels, along with sedimentation rates (both labile and refractory detrital sediment). Additionally, phytoplankton metrics (chlorophyll, biomass), water volume, temperature, wind speed, light intensity, pH levels, and Secchi depth provide a comprehensive view of the lake's ecological condition. These measurements, combined with the temporal and spatial data obtained from Sentinel-2 satellite imagery and ERA 5 meteorological data, create a multi-faceted picture of Thol Lake's eutrophication process, capturing both the immediate water quality parameters and the broader environmental factors influencing the lake's ecosystem.
DOI: 10.15468/dl.kzdj8p
title: Occurrence Download

description: A dataset containing 10762 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Pyrus communis L."
 ]
}

 The dataset includes 10762 records from 338 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009263-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6d9y485sjd
title: Using an Example Data python to evaluate home Prices In Cairo

description: I have created a pandas DataFrame for home prices in Cairo, Egypt. The DataFrame includes the following columns:
 Home ID, Location, Number of Bedrooms, Number of Bathrooms, Square Footage, and Price.
a suggestion for creating a pandas DataFrame for home prices in Cairo, Egypt. Here's a proposal:

Home ID: A unique identifier for each home. This could be a simple integer that increments for each new home.

Location (District): The district in Cairo where the home is located. This could be a string value like "Zamalek", "Maadi", "Heliopolis", etc.

Number of Bedrooms: The number of bedrooms in the home. This could be an integer value.

Number of Bathrooms: The number of bathrooms in the home. This could also be an integer value.

Square Footage: The size of the home in square feet. This could be a float value.

Price: The price of the home in Egyptian pounds. This could be a float value.

Here's a sample of how the data might look:

Home ID Location Bedrooms Bathrooms Square Footage Price
1 Zamalek 3 2 1500.0 2500000.0
2 Maadi 2 1 1000.0 1500000.0
3 Heliopolis 4 3 2000.0 3500000.0
Please note that the actual data would need to be gathered from a real estate source or database. The values I've used here are just for illustrative purposes.

Once the data is gathered, it can be analyzed to answer questions like:

What is the average price of homes in each district?
What is the average size of homes in each district?
How does the number of bedrooms/bathrooms affect the price of a home?
DOI: 10.17632/hpf9hm65d8
title: LINF_140013400

description: Small GTPase-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/wyxj7733tb
title: Guía práctica_Calidad y metrología_Práctica #1 Metrologia

description: La metrología es la ciencia que estudia los sistemas de medida y sus aplicaciones en cualquier campo de la ciencia, esto incluye todos los aspectos teóricos y prácticos relacionados con las mediciones, como, los métodos y técnicas de medición, las unidades de medida, y los equipos utilizados, así como de su de mantenimiento y calibración periódica. Según el campo de aplicación de la metrología se tienen tres categorías: científica, industrial y legal. Calidad y metrología es una combinación fundamental ya que las mediciones confiables son necesarias para generar una mayor eficiencia en los procesos productivos. En la práctica de laboratorio se realizará la medición de variables de longitud, y diámetro con instrumentos de medición como micrómetro, flexómetro y pie de rey, asociando la incertidumbre y error de cada instrumento.
DOI: 10.6084/m9.figshare.28682180.v2
title: TCMEval-CPE

description: 中国中医研究生考试数据集
DOI: 10.17632/8f56gbr6tk
title: Optical analyses of lossy near-field thermophotonic devices with planar and scattering mirrors

description: Data supporting the plots presented in the publication: Optical analyses of lossy near-field thermophotonic devices with planar and scattering mirrors'. Authors: J. van Gastel, P. Kivisaari, J. Oksanen, E. Vlieg and J.J. Schermer. 

Published in Solar energy materials and solar cells, accepted on 25/11/2024.
DOI: 10.17632/d3bpbxnhpx
title: Opracowanie innowacyjnego rozwiązania w postaci Inteligentnego Wirtualnego Asystenta Nauki przez firmę bethink sp. z o.o.

description: Wyniki badań w ramach realizacji projektu RPWP.01.02.00-30-0097/17 Głównym celem projektu było przeprowadzenie prac B+R w celu stworzenia Inteligentnego Wirtualnego Asystenta Nauki - narzędzia pozwalającego na maksymalizację rezultatów edukacyjnych osoby uczącej się, poprzez ewaluację tych rezultatów przy użyciu strategii ewaluacyjnej opartej na nowoczesnych badaniach z zakresu Psychologii, Kognitywistyki, Learning Analytics i Systemów Inteligentnych. Ekspozycja na ewaluację i analizę rezultatów nauki pozwala osobom uczącym się na korekcję zachowań edukacyjnych co w efekcie pomaga im na skuteczniejsze zarządzanie procesami kognitywnymi i poprawę wyników edukacyjnych. Projekt zrealizowano przy użyciu platformy edukacyjnej więcejniżlek.pl, która stanowi solidne zaplecze do prowadzenia badań z uwagi na odpowiednią liczbę użytkowników i zaimplementowane rozwiązania programistyczne. W wyniku prac B+R został opracowany moduł statystyczny w postaci Inteligentnego Wirtualnego Asystenta Nauki, który umożliwia zbieranie danych o aktywności uczestnika kursu, jest w stanie przeanalizować tą aktywność i na jej podstawie zaproponować spersonalizowaną strategię zmiany nawyków edukacyjnych mającą na celu poprawę efektów kształcenia. Podniesienie efektywności procesu nauki oszczędza czas uczniów i wykładowców, co w konsekwencji obniża koszty prowadzenia działań edukacyjnych. Dane Zaprezentowane dane dotyczą charakterystyki zachowań edukacyjnych, pomiarów efektywności nauki i demografii indywidualnych użytkowników platformy edukacyjnej wiecejnizlek.pl oraz zestawienie ich z danymi dotyczącymi pomiaru przyrostu wiedzy. Dane te zostały ujęte w postaci mierzalnej repreprezentacji liczbowej, na przykład liczba przerobionych pytań zamkniętych, procent poprawnych odpowiedzi z poszczególnych przedmiotów w ramach egzaminów czy liczba dni w kótrych zarestrowano aktywność na platformie. Baza danych składa się z 91 poszczególnych atrybutów wyrażonych liczbowo lub w formie kategorycznej dla 61 unikalnych użytkowników. Zmienna docelowa - pomiar przyrostu wiedzy - została wyznaczona poprzez róznicę w wynikach egzaminu wstępnego i końcowego w ramach kursu na platformie wiecejnizlek.pl. Tak wyrażona zmienna obrazuje różnicę posiadenej wiedzy przez użytkownika przed rozpoczęciem kursu i po jego zakończeniu, tym samym obrazuje efektywność nauki danego użytkownika. Zestawiając te dane z charakterystyką zachowań edukacyjnych, pomiarami efektywności nauki i demografią możemy wyznaczyć czynniki wpływające w największy sposób na efektywność nauki.
DOI: 10.17632/f4mk8hj5g6
title: Soil-vegetable-Tl data (Final)

description: The values of Tl content in both soil and vegetables (mg/kg DW), information about soil physical-chemical properties (soil pH, SOM and CEC) and so on.
DOI: 10.17632/mg2x8kd49w
title: Data-Wei Guo

description: The raw data of XRD, nanoindentation value for equiatomic CrMnFeCoNi high entropy alloy
DOI: 10.6084/m9.figshare.25304527.v1
title: Virulence genes (VFDB)

description: Results of antibiotic resistance genes –assemblies’ screening- using Abricate v0.8 and VFDB database (downloaded last 5 March 2019).
DOI: 10.17632/gjbycxnc24
title: CROSSFIRE IMMUNE

description: Systemic (peripheral blood) immune monitoring data of Irreversible Electroporation and Stereotactic Ablative Body Radiotherapy treated patients with locally advanced Pancreatic cancer
- flow cytometry
- ElISpot Assay

Data is provided for each figure presented in the manuscript