cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.07369
title: Should Testing for Obstructive Sleep Apnea be Offered Routinely to Older Family Medicine Patients? A Prospective Cohort Study
title: Should Testing for Obstructive Sleep Apnea be Offered Routinely to Older Family Medicine Patients? A Prospective Cohort Study

description: 176 consecutive family medicine patients, aged 45 years and older, were tested for obstructive sleep apnea using overnight polysomnography. Participants found to have OSA were offered treatment and followed for 3 years according to usual practice in the Canadian/Province of Quebec health care system. At time of recruitment Time 1, and after 3 years, Time 2, participants completed questionnaires about sleep, health related quality of life, psychological adjustment. Additionally, health data were collected by chart review.The data set consists of an Excel file, with data for 176 participants in rows. Time 1 and Time 2 data are presented in the same row. Variables are respectively labeled with the prefixes T1 and T2. The first three rows describe the measures, variables, and the units of measure for each variable. Each subject row contains 128 variables, including for T1 and T2. The final columns contain coding to identify subgroups, treatment adherence, change in health status employed in previous analyses.Cells with missing data are left blank. Data loss from Time 1 to Time 2 was expected, as we were following a clinical sample who entered the study without a specific complaint and for whom OSA treatment acceptance and adherence are typically low. Describing the trajectory of these patients, including dropout rates, was one aim of the study.The dataset can be copied and pasted into an SPSS data file.
description: 176 consecutive family medicine patients, aged 45 years and older, were tested for obstructive sleep apnea using overnight polysomnography. Participants found to have OSA were offered treatment and followed for 3 years according to usual practice in the Canadian/Province of Quebec health care system. At time of recruitment Time 1, and after 3 years, Time 2, participants completed questionnaires about sleep, health related quality of life, psychological adjustment. Additionally, health data were collected by chart review.The data set consists of an Excel file, with data for 176 participants in rows. Time 1 and Time 2 data are presented in the same row. Variables are respectively labeled with the prefixes T1 and T2. The first three rows describe the measures, variables, and the units of measure for each variable. Each subject row contains 128 variables, including for T1 and T2. The final columns contain coding to identify subgroups, treatment adherence, change in health status employed in previous analyses.Cells with missing data are left blank. Data loss from Time 1 to Time 2 was expected, as we were following a clinical sample who entered the study without a specific complaint and for whom OSA treatment acceptance and adherence are typically low. Describing the trajectory of these patients, including dropout rates, was one aim of the study.The dataset can be copied and pasted into an SPSS data file.
DOI: 10.57760/sciencedb.07370
title: Data of the article "Dynamics and mechanisms of secondary invasion following biological control of an invasive plant"
title: Data of the article "Dynamics and mechanisms of secondary invasion following biological control of an invasive plant"

description: The data of the article "Dynamics and mechanisms of secondary invasion following biological control of an invasive plant" in New Phytologist.
description: The data of the article "Dynamics and mechanisms of secondary invasion following biological control of an invasive plant" in New Phytologist.
DOI: 10.57760/sciencedb.07398
title: Switch speed limit method test data
title: 交换机限速方法测试数据

description: Experiments show that compared with the simple speed limit scheme based on shared memory and mutex, this scheme can effectively reduce the rate jitter in transmission. For example, when the speed limit threshold is 3 Gbps, the speed limit jitter can be reduced by about 54%.
description: Experiments show that compared with the simple speed limit scheme based on shared memory and mutex, this scheme can effectively reduce the rate jitter in transmission. For example, when the speed limit threshold is 3 Gbps, the speed limit jitter can be reduced by about 54%.
DOI: 10.57760/sciencedb.07405
title: Datasets of the Adaptability of n–γ discrimination and filtering methods based on plastic scintillation
title: Datasets of the Adaptability of n–γ discrimination and filtering methods based on plastic scintillation

description: The data set includes neutron and gamma-ray radiation pulse signals and source codes of several discrimination algorithms, including Charge Comparison, Fractal spectrum and Back-propagation(BP) neural network method.There are many filtering methods, including Fourier transform, wavelet transform, moving average and Kalman filter. And the program of graphics in the paper.
description: The data set includes neutron and gamma-ray radiation pulse signals and source codes of several discrimination algorithms, including Charge Comparison, Fractal spectrum and Back-propagation(BP) neural network method.There are many filtering methods, including Fourier transform, wavelet transform, moving average and Kalman filter. And the program of graphics in the paper.
DOI: 10.57760/sciencedb.07406
title: Datasets of the Discrimination of neutrons and gamma rays in plastic scintillator based on pulse-coupled neural network
title: Datasets of the Discrimination of neutrons and gamma rays in plastic scintillator based on pulse-coupled neural network

description: The data set includes neutron and gamma ray radiation pulse signals and source codes of several recognition algorithms, including pulse-coupled neural network and Spiking cortex model method (this is used as a comparison method, and a lot of subsequent research has been done). Including data normalization and single pulse comparison program.
description: The data set includes neutron and gamma ray radiation pulse signals and source codes of several recognition algorithms, including pulse-coupled neural network and Spiking cortex model method (this is used as a comparison method, and a lot of subsequent research has been done). Including data normalization and single pulse comparison program.
DOI: 10.57760/sciencedb.j00186.00037
title: Effect of radiolysis of TODGA on the extraction of TODGA/n-dodecane toward Eu(III): An experimental and DFT study
title: Effect of radiolysis of TODGA on the extraction of TODGA/n-dodecane toward Eu(III): An experimental and DFT study

description: The dataset contains the data for figures in the main document and supporting information.These data were obtained by HPLC-UV, UPLC-QTOF-MS, ICP-MS and a fluorescence spectrometer.We also provided a TOC diagram of this work in the dataset.This work provides a method to predict the extraction distribution ratio of an irradiated extractant system and to understand the complex process.
description: The dataset contains the data for figures in the main document and supporting information.These data were obtained by HPLC-UV, UPLC-QTOF-MS, ICP-MS and a fluorescence spectrometer.We also provided a TOC diagram of this work in the dataset.This work provides a method to predict the extraction distribution ratio of an irradiated extractant system and to understand the complex process.
DOI: 10.57760/sciencedb.07418
title: Data of "Quantum enhanced radio detection and ranging with solid spins"
title: Data of "Quantum enhanced radio detection and ranging with solid spins"

description: To demonstrate the ranging with solid spin, the experiments were performed.
description: To demonstrate the ranging with solid spin, the experiments were performed.
DOI: 10.15468/dl.2f37eq
title: Occurrence Download

description: A dataset containing 242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Taxillus chinensis (DC.) Danser"
 ]
}

 The dataset includes 242 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000611-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.o00009.00481
title: ADS-B real-world data set (DF=17)
title: ADS-B real-world data set (DF=17)

description: A total of 216 files were included, each corresponding to the IQ signal data of an aircraftCollection date: October 5, 2022. The sampling rate is 40MHzFile name: iq_aircraft ICAO (decimal) _ Number of signal frames contained in the file
description: A total of 216 files were included, each corresponding to the IQ signal data of an aircraftCollection date: October 5, 2022. The sampling rate is 40MHzFile name: iq_aircraft ICAO (decimal) _ Number of signal frames contained in the file
DOI: 10.57841/casdc.0005290
title: 陆稻新品种“中科西陆4号”审定相关材料
DOI: 10.57760/sciencedb.j00186.00038
title: Data set for quantitative modeling, optimization, and veriﬁcation of63Ni-powered betavoltaic cells based on three-dimensional ZnOnanorod arrays
title: 基于三维ZnO纳米棒阵列的镍-63动力电池的定量建模、优化和验证的数据集

description: 1. In fig2, the original file of energy deposition distribution of planar structure and 3D nanorod structure simulated by Monte Carlo method, and the energy deposition distribution diagram2. Original data files for XRD and EDS elemental analysis3. Raw data of the I-V curve used to calculate the ideal factor and reverse saturation current4. The original MCNP data of 3D nanorod structure was used to simulate the energy deposition of 3D nanorod structure at different heights and gaps by using Monterallo method5. For MCNP output data of flat ZnO structures, Monterallo method is used to simulate energy deposition of flat ZnO structures at different heights and gaps
description: 1. In fig2, the original file of energy deposition distribution of planar structure and 3D nanorod structure simulated by Monte Carlo method, and the energy deposition distribution diagram2. Original data files for XRD and EDS elemental analysis3. Raw data of the I-V curve used to calculate the ideal factor and reverse saturation current4. The original MCNP data of 3D nanorod structure was used to simulate the energy deposition of 3D nanorod structure at different heights and gaps by using Monterallo method5. For MCNP output data of flat ZnO structures, Monterallo method is used to simulate energy deposition of flat ZnO structures at different heights and gaps
DOI: 10.57760/sciencedb.07420
title: Social Sustainability Dataset of Micro, Small, and Medium Enterprises in Makassar City, Indonesia
title: Social Sustainability Dataset of Micro, Small, and Medium Enterprises in Makassar City, Indonesia

description: The dataset consists of the characteristics of MSMEs in the city of Makassar, Indonesia and assessment of social, economic and environmental sustainability dimensions as measured by a Likert scale. The social sustainability of the data consists of three indicators of social justice and equity (SJE), social capital (SCA), and social cohesion (SCO). This data was collected in 2021 by 300 respondents using the survey method and the convenience sampling method.
description: The dataset consists of the characteristics of MSMEs in the city of Makassar, Indonesia and assessment of social, economic and environmental sustainability dimensions as measured by a Likert scale. The social sustainability of the data consists of three indicators of social justice and equity (SJE), social capital (SCA), and social cohesion (SCO). This data was collected in 2021 by 300 respondents using the survey method and the convenience sampling method.
DOI: 10.57760/sciencedb.j00186.00041
title: Boundary Data and Results for Accident Source Term and Radiological Consequences of a Small Modular Reactor
title: Boundary Data and Results for Accident Source Term and Radiological Consequences of a Small Modular Reactor

description: Since this work is a radiological consequence simulation for an SMR, the data include core inventory, atmospheric dispersion factor, and the total effective dose. The uploaded excel data contains seven parts. Table 1 is the core inventory data. Figure3 is the radioactivity data of elemental, organic, and particulate iodine. Figure 4 is the radioactivity data of Cs. Figure 5 is the radioactivity data of Kr. Figure 6 is the radioactivity data of Xe. Figure 7 is the  χ/Q values. Figure 8 is the total effective dose values.
description: Since this work is a radiological consequence simulation for an SMR, the data include core inventory, atmospheric dispersion factor, and the total effective dose. The uploaded excel data contains seven parts. Table 1 is the core inventory data. Figure3 is the radioactivity data of elemental, organic, and particulate iodine. Figure 4 is the radioactivity data of Cs. Figure 5 is the radioactivity data of Kr. Figure 6 is the radioactivity data of Xe. Figure 7 is the  χ/Q values. Figure 8 is the total effective dose values.
DOI: 10.57760/sciencedb.07421
title: MNIST Dataset
title: MNIST数据集

description: MNIST is a picture data set of handwritten numbers, which was organized by the National Institute of Standards and Technology (NIST) of the United States. A total of 250 handwritten digital pictures were collected, 50% of which were high school students and 50% were from the staff of the Census Bureau. The collection purpose of this data set is to realize the recognition of handwritten digits through algorithms. The data set contains 60000 images and labels, while the test set contains 10000 images and labels. The first 5000 training sets from the initial NIST program, The last 5000 test sets from the original NIST program. The first 5000 are more regular than the last 5000, because the first 5000 data come from the employees of the US Census Bureau, and the last 5000 data come from college students. 
description: MNIST is a picture data set of handwritten numbers, which was organized by the National Institute of Standards and Technology (NIST) of the United States. A total of 250 handwritten digital pictures were collected, 50% of which were high school students and 50% were from the staff of the Census Bureau. The collection purpose of this data set is to realize the recognition of handwritten digits through algorithms. The data set contains 60000 images and labels, while the test set contains 10000 images and labels. The first 5000 training sets from the initial NIST program, The last 5000 test sets from the original NIST program. The first 5000 are more regular than the last 5000, because the first 5000 data come from the employees of the US Census Bureau, and the last 5000 data come from college students.
DOI: 10.57760/sciencedb.07422
title: Different Channels to Transmit Information in Scattering Media
title: Different Channels to Transmit Information in Scattering Media

description: A communication channel should be built to transmit information from one place to another. Imaging is 2 or higher dimensional information communication. Conventionally, an imaging channel comprises a lens with free space at its both sides, whose transfer function is usually known and hence the response of the imaging channel can be well defined. Replacing the lens with a thin scattering medium, the image can still be extracted from the detected optical field, suggesting that the scattering medium retains or reconstructs not only energy but also information transmission channels. Aided by deep learning, we find that unlike the lens system, there are different channels in a scattering medium: the same scattering medium can construct different channels to match the manners of source coding. Moreover, it is found that without a valid channel, the convolution law for a spatial shift-invariant system (the output is the convolution of the point spread function and the input object) is broken, and in this scenario, information cannot be transmitted onto the detection plane. Therefore, valid channels are essential to transmit information through even a spatial shift-invariant system. These findings may intrigue new adventures in imaging through scattering media and reevaluation of the known spatial shift-invariance in various areas. 
description: A communication channel should be built to transmit information from one place to another. Imaging is 2 or higher dimensional information communication. Conventionally, an imaging channel comprises a lens with free space at its both sides, whose transfer function is usually known and hence the response of the imaging channel can be well defined. Replacing the lens with a thin scattering medium, the image can still be extracted from the detected optical field, suggesting that the scattering medium retains or reconstructs not only energy but also information transmission channels. Aided by deep learning, we find that unlike the lens system, there are different channels in a scattering medium: the same scattering medium can construct different channels to match the manners of source coding. Moreover, it is found that without a valid channel, the convolution law for a spatial shift-invariant system (the output is the convolution of the point spread function and the input object) is broken, and in this scenario, information cannot be transmitted onto the detection plane. Therefore, valid channels are essential to transmit information through even a spatial shift-invariant system. These findings may intrigue new adventures in imaging through scattering media and reevaluation of the known spatial shift-invariance in various areas.
DOI: 10.57760/sciencedb.07423
title: Lipid data of Arabidopsis thaliana at low temperature
title: Lipid data of Arabidopsis thaliana at low temperature

description: Lipid data related to fad8 in Arabidopsis thaliana at low temperatures
description: Lipid data related to fad8 in Arabidopsis thaliana at low temperatures
DOI: 10.57760/sciencedb.j00186.00044
title: machine learning the nuclear mass
title: machine learning the nuclear mass

description: The codes and data to generate the figures have been submited. Please change the 'path' before using.
description: The codes and data to generate the figures have been submited. Please change the 'path' before using.
DOI: 10.57760/sciencedb.j00186.00045
title: data of the safety characteristics for a new multi-mission high flux research reactor
title: 新型多功能高通量研究堆的安全分析原始数据

description: RELAP5/MOD3.2 is used to carry out the simulation analysis of the station blackout accident and reactivity accident. The data set includes the original input card, the data result of the station blackout accident and the data result of the reactivity accident. 
description: RELAP5/MOD3.2 is used to carry out the simulation analysis of the station blackout accident and reactivity accident. The data set includes the original input card, the data result of the station blackout accident and the data result of the reactivity accident.
DOI: 10.57760/sciencedb.j00186.00046
title: Data and codes for constructing CRDM fault diagnosis system
title: Data and codes for constructing CRDM fault diagnosis system

description: These codes are mainly associated with intention recognition, named entity extraction, and Bayesian inference result calculation.The process data of batch size fine-tuning in the RBT3-TextCNN model is recorded in an Excel file.
description: These codes are mainly associated with intention recognition, named entity extraction, and Bayesian inference result calculation.The process data of batch size fine-tuning in the RBT3-TextCNN model is recorded in an Excel file.
DOI: 10.15468/dl.d8z3en
title: Occurrence Download

description: A dataset containing 190080249 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 GBIF_EQDGCODE(6, decimallatitude, decimallongitude, 0.0) eqdcellcode,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, GBIF_EQDGCODE(6, decimallatitude, decimallongitude, 0.0), "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, GBIF_EQDGCODE(6, decimallatitude, decimallongitude, 0.0), "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, GBIF_EQDGCODE(6, decimallatitude, decimallongitude, 0.0), "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, GBIF_EQDGCODE(6, decimallatitude, decimallongitude, 0.0), "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, GBIF_EQDGCODE(6, decimallatitude, decimallongitude, 0.0), "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, GBIF_EQDGCODE(6, decimallatitude, decimallongitude, 0.0), "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'US'
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year",
 GBIF_EQDGCODE(6, decimallatitude, decimallongitude, 0.0)

 The dataset's 190080249 records were derived from 3305 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000582-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/4fg-hzt-4cb
title: Pollia fumosa (Dillwyn, 1817)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7hh-v5k-bwg
title: Rhinoclavis kochi (R. A. Philippi, 1848)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hzx-wqf-bmx
title: Vexillum hendersoni (Dall, 1927)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/saq-pw0-qfl
title: Josephinella vikosensis (Subai, 1990)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/d1d-0wa-h8y
title: Deroceras reticulatum (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6b4-5kz-a69
title: Strombus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7fr-2yy-xx6
title: Sphaerium haasi C. R. Boettger, 1915

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2la-tj0-3fx
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lwq-bv4-v5p
title: Leptoxis subglobosa (Say, 1825)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0t9-4bc-bdy
title: Mactra corallina (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1j4-gdw-c2g
title: Conus coffeae Gmelin, 1791

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.