cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4756181
title: NLL-SSST-coherence earthquake relocation catalogs for the Parkfield and Lone Pine, California earthquake sequence.

description: CSV tables of the final, NLL-SSST-coherence earthquake relocation catalogs for the Parkfield and Lone Pine, California earthquake sequence. These datasets are from relocations presented in the article<br> High-precision, earthquake location using source-specific station terms and inter-event waveform similarity<br> submitted to Journal of Geophysical Research Solid Earth
description: This version updated with new catalogs produced with minor changes to the software and processing procedures.
DOI: 10.5281/zenodo.5528798
title: CLEAR: Continual LEArning on Real-World Imagery

description: Continual learning (CL) is considered as one of the next big challenges in AI. However, the existing CL benchmarks, e.g. Permuted-MNIST and Split-CIFAR, are artificially designed to be made continual and do not align with or generalize to real-world. In this paper, we introduce CLEAR, the first continual image recognition benchmark dataset with a natural temporal evolution of visual concepts in the real world that spans a decade (2004-2014). We build CLEAR from existing image collection (YFCC100M) by proposing a novel low-cost visio-linguistic dataset curation approach. It involves using pretrained vision-language models (e.g. CLIP) to quickly build high-quality labeled datasets on a tight budget. Finally, we post-process CLEAR via crowd-sourcing to remove errors and even inappropriate images hidden in original YFCC100M. The major strengths of CLEAR over prior CL benchmarks include (1) smooth and realistic temporal evolution of visual concepts with real-world imagery, enabling a more practical "online" (i.e., train on past, test on future) evaluation protocol (2) high-quality labeled data along with abundant unlabeled samples per time period for continual semi-supervised and unsupervised learning. Our extensive experiments reveal that mainstream "offline" evaluation protocols, which train and test on iid data, artificially inflate performance of CL systems, stressing the need for our "online" protocol since the models we train today will always be tested in future. Moreover, we find that state-of-the-arts CL algorithms that only utilize fully-supervised data fall short whereas unsupervised pretraining provides significant boost. Lastly, we introduce a biased reservoir-sampling algorithm that dynamically caches more recent training data, achieving the new state-of-the-arts while still leaving large room for improvement.
DOI: 10.5281/zenodo.5528797
title: CLEAR: Continual LEArning on Real-World Imagery

description: Continual learning (CL) is considered as one of the next big challenges in AI. However, the existing CL benchmarks, e.g. Permuted-MNIST and Split-CIFAR, are artificially designed to be made continual and do not align with or generalize to real-world. In this paper, we introduce CLEAR, the first continual image recognition benchmark dataset with a natural temporal evolution of visual concepts in the real world that spans a decade (2004-2014). We build CLEAR from existing image collection (YFCC100M) by proposing a novel low-cost visio-linguistic dataset curation approach. It involves using pretrained vision-language models (e.g. CLIP) to quickly build high-quality labeled datasets on a tight budget. Finally, we post-process CLEAR via crowd-sourcing to remove errors and even inappropriate images hidden in original YFCC100M. The major strengths of CLEAR over prior CL benchmarks include (1) smooth and realistic temporal evolution of visual concepts with real-world imagery, enabling a more practical "online" (i.e., train on past, test on future) evaluation protocol (2) high-quality labeled data along with abundant unlabeled samples per time period for continual semi-supervised and unsupervised learning. Our extensive experiments reveal that mainstream "offline" evaluation protocols, which train and test on iid data, artificially inflate performance of CL systems, stressing the need for our "online" protocol since the models we train today will always be tested in future. Moreover, we find that state-of-the-arts CL algorithms that only utilize fully-supervised data fall short whereas unsupervised pretraining provides significant boost. Lastly, we introduce a biased reservoir-sampling algorithm that dynamically caches more recent training data, achieving the new state-of-the-arts while still leaving large room for improvement.
DOI: 10.25442/hku.16589813
title: Supporting data for “Reconstructing 3D Indoor Scene From RGB Equirectangular Panorama Image with CNN System”

description: This dataset includes 3DOF pose (Azimuth, Elevation, In-plane rotation) for objects in indoor environments. We have 10 categories, which are mostly common household furniture. We collected images from ImageNet, Google, Baidu and Bing, and 3D CAD models from Trimble 3D Warehouse. We created an annotation tool for annotating 3D Poses. Specially, annotators can identify objects inside images, specify them with bounding box, and select a corresponding CAD model for the object. Then annotators can align 3D pose of CAD model against the object in the image, and save the 3D pose as annotation files. There are a total of 3 folders in the dataset. Annotations, which is all the annotated data in .json; Build24_5, which is the annotation tool; and Images, which contains all images used in our dataset. <br>
DOI: 10.25442/hku.16589813.v1
title: Supporting data for “Reconstructing 3D Indoor Scene From RGB Equirectangular Panorama Image with CNN System”

description: This dataset includes 3DOF pose (Azimuth, Elevation, In-plane rotation) for objects in indoor environments. We have 10 categories, which are mostly common household furniture. We collected images from ImageNet, Google, Baidu and Bing, and 3D CAD models from Trimble 3D Warehouse. We created an annotation tool for annotating 3D Poses. Specially, annotators can identify objects inside images, specify them with bounding box, and select a corresponding CAD model for the object. Then annotators can align 3D pose of CAD model against the object in the image, and save the 3D pose as annotation files. There are a total of 3 folders in the dataset. Annotations, which is all the annotated data in .json; Build24_5, which is the annotation tool; and Images, which contains all images used in our dataset. <br>
DOI: 10.5517/ccdc.csd.cc1zhws4
title: CCDC 1832527: Experimental Crystal Structure Determination

description: Related Article: L. Raju Chowhan, Mangala Gowri Ponnapalli|2021|CSD Communication|||
DOI: 10.5281/zenodo.5517492
title: Data from: Water deprivation compromises maternal physiology and reproductive success in a cold and wet adapted snake Vipera berus

description: Dataset from : https://doi.org/10.1093/conphys/coab071 Dezetter, M., Le Galliard, J. F., Guiller, G., Guillon, M., Leroux-Coyau, M., Meylan, S., ... & Lourdais, O. (2021). Water deprivation compromises maternal physiology and reproductive success in a cold and wet adapted snake Vipera berus. <em>Conservation Physiology</em>, <em>9</em>(1), coab071.
DOI: 10.5281/zenodo.5517491
title: Data from: Water deprivation compromises maternal physiology and reproductive success in a cold and wet adapted snake Vipera berus

description: Dataset from : https://doi.org/10.1093/conphys/coab071 Dezetter, M., Le Galliard, J. F., Guiller, G., Guillon, M., Leroux-Coyau, M., Meylan, S., ... & Lourdais, O. (2021). Water deprivation compromises maternal physiology and reproductive success in a cold and wet adapted snake Vipera berus. <em>Conservation Physiology</em>, <em>9</em>(1), coab071.
DOI: 10.20351/29he20030830
title: MARCONI-1 Cruise, RV Hespérides

description: MARCONI-1 Cruise (29HE20030830) carried out on the Research Vessel Hespérides in 2003
DOI: 10.5281/zenodo.5529656
title: Enabling Automated Integration of Architectural Languages:an Experience Report from the Automotive Domain

description: Dataset for the journal "Enabling Automated Integration of Architectural Languages:an Experience Report from the Automotive Domain"
DOI: 10.5281/zenodo.5529655
title: Enabling Automated Integration of Architectural Languages:an Experience Report from the Automotive Domain

description: Dataset for the journal "Enabling Automated Integration of Architectural Languages:an Experience Report from the Automotive Domain"
DOI: 10.14457/cu.the.1998.193
title: การพัฒนาการนิเทศทางการพยาบาลของหัวหน้าหอผู้ป่วยโรงพยาบาลเจ้าพระยาอภัยภูเบศร ปราจีนบุรี
DOI: 10.14457/cu.the.1998.194
title: Melt fracture and wall slip characteristics of HDPE and LLDPE
DOI: 10.14457/cu.the.1998.195
title: The training program for head nurses in human resource planning, Mahosot Hospital, Lao P.D.R.
DOI: 10.6084/m9.figshare.16684984.v1
title: Tabla 7

description: Correlaciones de muestra emparejadas y modelo lineal general para medida repetida intrasujeto: alumnos conectados antes y después de vacaciones de Semana Santa.<br>
DOI: 10.6084/m9.figshare.16684984
title: Tabla 7

description: Correlaciones de muestra emparejadas y modelo lineal general para medida repetida intrasujeto: alumnos conectados antes y después de vacaciones de Semana Santa.<br>
DOI: 10.5519/qd.t8tsirix
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (63 records)
DOI: 10.6084/m9.figshare.16684987.v1
title: Tabla 8

description: Análisis sobre la relación entre el nivel sociocultural de las familias del centro y su conectividad después de Semana Santa.<br>
DOI: 10.6084/m9.figshare.16684987
title: Tabla 8

description: Análisis sobre la relación entre el nivel sociocultural de las familias del centro y su conectividad después de Semana Santa.<br>
DOI: 10.14457/cu.doc.2021.1
title: การติดเชื้อไวรัสตับอักเสบอี (hepatitis E infection)
DOI: 10.14457/cu.doc.2021.2
title: การรักษาผู้ป่วยตับวายเฉียบพลันและตับวายเฉียบพลันในผู้ป่วยที่มีโรคตับเรื้อรังอยู่เดิมในหอผู้ป่วยระยะวิกฤต (intensive care management in patients with acute liver failure (ALF) and acute-on-top chronic liver failure (ACLF))
DOI: 10.14457/cu.doc.2021.3
title: ภาวะหัวใจห้องบนเต้นระริกที่เกิดขึ้นหลังการผ่าตัด (postoperative atrial fibrillation)
DOI: 10.6084/m9.figshare.16685002
title: Table S1. Late Permian ultrapotassic rhyolites in SE Thailand: Evidence for a Paleotethyan continental rift basin

description: Table S1: Major oxides, trace element analytical and Nd isotopic data for the rhyolite and rhyolitic ignimbrite samples from the Ko Chang Island in SE Thailand
DOI: 10.6084/m9.figshare.16685002.v1
title: Table S1. Late Permian ultrapotassic rhyolites in SE Thailand: Evidence for a Paleotethyan continental rift basin

description: Table S1: Major oxides, trace element analytical and Nd isotopic data for the rhyolite and rhyolitic ignimbrite samples from the Ko Chang Island in SE Thailand
DOI: 10.6084/m9.figshare.16685005
title: Table S3. Late Permian ultrapotassic rhyolites in SE Thailand: Evidence for a Paleotethyan continental rift basin

description: Table S3: Zircon in-situ Hf–O isotopic compositions for the rhyolite and rhyolitic ignimbrite samples from the Ko Chang Island in SE Thailand
DOI: 10.6084/m9.figshare.16685005.v1
title: Table S3. Late Permian ultrapotassic rhyolites in SE Thailand: Evidence for a Paleotethyan continental rift basin

description: Table S3: Zircon in-situ Hf–O isotopic compositions for the rhyolite and rhyolitic ignimbrite samples from the Ko Chang Island in SE Thailand
DOI: 10.6084/m9.figshare.16685008.v1
title: Table S2. Late Permian ultrapotassic rhyolites in SE Thailand: Evidence for a Paleotethyan continental rift basin

description: Table S2: LA–ICP–MS and SIMS zircon U–Pb ages for the rhyolite and rhyolitic ignimbrite samples from the Ko Chang Island in SE Thailand
DOI: 10.6084/m9.figshare.16685008
title: Table S2. Late Permian ultrapotassic rhyolites in SE Thailand: Evidence for a Paleotethyan continental rift basin

description: Table S2: LA–ICP–MS and SIMS zircon U–Pb ages for the rhyolite and rhyolitic ignimbrite samples from the Ko Chang Island in SE Thailand
DOI: 10.14457/cu.doc.2021.4
title: สองเซลล์ สามกลไก สี่หลักการ ต้านภัยโควิด-19
DOI: 10.5281/zenodo.5529677
title: Generative models for hadron shower simulation in fundamental physics

description: This is a subset of data used in our NeurIPS 2021 submission paper.
DOI: 10.5281/zenodo.5529676
title: Generative models for hadron shower simulation in fundamental physics

description: This is a subset of data used in our NeurIPS 2021 submission paper.
DOI: 10.48366/r143856
title: A review for geological applications of Hyperspectral remote sensing

description: This comparison describes the applications of Hyperspectral remote sensing for lithological mapping and minerals exploration. This comparison is prepared for broad or generic users. It will help to get a broad idea about the latest advancements in geologic remote sensing.
DOI: 10.5517/ccdc.csd.cc26twfc
title: CCDC 2050663: Experimental Crystal Structure Determination

description: Related Article: Lingyi Meng, Yi-Fei Deng, Yuan-Zhu Zhang|2021|Inorg.Chem.|60|14330|doi:10.1021/acs.inorgchem.1c01952
DOI: 10.5517/ccdc.csd.cc26twgd
title: CCDC 2050664: Experimental Crystal Structure Determination

description: Related Article: Lingyi Meng, Yi-Fei Deng, Yuan-Zhu Zhang|2021|Inorg.Chem.|60|14330|doi:10.1021/acs.inorgchem.1c01952
DOI: 10.5517/ccdc.csd.cc26twhf
title: CCDC 2050665: Experimental Crystal Structure Determination

description: Related Article: Lingyi Meng, Yi-Fei Deng, Yuan-Zhu Zhang|2021|Inorg.Chem.|60|14330|doi:10.1021/acs.inorgchem.1c01952
DOI: 10.5517/ccdc.csd.cc26twjg
title: CCDC 2050666: Experimental Crystal Structure Determination

description: Related Article: Lingyi Meng, Yi-Fei Deng, Yuan-Zhu Zhang|2021|Inorg.Chem.|60|14330|doi:10.1021/acs.inorgchem.1c01952
DOI: 10.5281/zenodo.5509990
title: SciGRID_gas IGGIELGNC-2

description: The IGGIELGNC-2 dataset is an outcome of the SciGRID_gas project
DOI: 10.5281/zenodo.5017641
title: SciGRID_gas IGGIELGNC-2

description: The IGGIELGNC-2 dataset is an outcome of the SciGRID_gas project
DOI: 10.5281/zenodo.5509988
title: SciGRID_gas IGGIELGNC-1

description: The IGGIELGNC-1 dataset is an outcome of the SciGRID_gas project.
DOI: 10.5281/zenodo.5017621
title: SciGRID_gas IGGIELGNC-1

description: The IGGIELGNC-1 dataset is an outcome of the SciGRID_gas project.
DOI: 10.6084/m9.figshare.16640281
title: Table_NBIA Lifetime risk_raw data.xlsx

description: Raw data to the paper "Lifetime risk of Neurodegeneration with brain iron accumulation (NBIA) disorders calculated from genetic databases". All pathogenic variants, their allele frequencies as listed in gnomAD and our in-house database, and all calculations including statistics are provided.<br>
DOI: 10.6084/m9.figshare.16640281.v1
title: Table_NBIA Lifetime risk_raw data.xlsx

description: Raw data to the paper "Lifetime risk of Neurodegeneration with brain iron accumulation (NBIA) disorders calculated from genetic databases". All pathogenic variants, their allele frequencies as listed in gnomAD and our in-house database, and all calculations including statistics are provided.<br>
DOI: 10.6084/m9.figshare.16685050.v1
title: Making Tax Digital Impact Statistics.sav

description: Impact of New Making Tax Digital HMRC Legislation and impact on businesses
DOI: 10.6084/m9.figshare.16685050
title: Making Tax Digital Impact Statistics.sav

description: Impact of New Making Tax Digital HMRC Legislation and impact on businesses
DOI: 10.5281/zenodo.5510417
title: SAGE III/ISS Cloud Data

description: This is the SAGE III/ISS g3b.ssp....v0510 data set which extends from mid-2017 to early 2021. The data set includes cloud information described in the JGR publication. The file contains the latitude, longitude, vertical height grid, three types of clouds (cirrus, sub-visible cirrus, and cloud aerosol mixtures) in each profile, profile temperature, h2o mixing ratio, pressure, cloud top height, and tropopause height. While SAGE cannot directly cirrus profile, cirrus is assumed to extend 0.5 km below the termination of the SAGE solar limb scan.
DOI: 10.5281/zenodo.5510416
title: SAGE III/ISS Cloud Data

description: This is the SAGE III/ISS g3b.ssp....v0510 data set which extends from mid-2017 to early 2021. The data set includes cloud information described in the JGR publication. The file contains the latitude, longitude, vertical height grid, three types of clouds (cirrus, sub-visible cirrus, and cloud aerosol mixtures) in each profile, profile temperature, h2o mixing ratio, pressure, cloud top height, and tropopause height. While SAGE cannot directly cirrus profile, cirrus is assumed to extend 0.5 km below the termination of the SAGE solar limb scan.
DOI: 10.21335/nmdc-1870239141
title: Magnetic routes of eels

description: This dataset includes geomagnetic values (total intensity and inclination) covering the growth, migratory routes and spawning area of 5 species of temperate Anguillid eels. All calculations were made using the International and Definite Geomagnetic Reference Fields (IGRF, DGRF, Thebault et al. 2015). IGRF models are models of the geomagnetic main field, modelling sources inside the earth without taking into account external sources or static crustal anomalies. Values were calculated for ∆long = 1° and ∆lat = 0.5°.
DOI: 10.6084/m9.figshare.16684720
title: Supplementary Material for: Type 2 Diabetes as a Predictor of Muscle Strength Decline over 11 years among Men and Women Aged 55 Years and Older

description: <b><i>Background:</i></b> Long-term associations between type 2 diabetes, prediabetes, and muscle strength are obscure in older adults. The aim of this study was to examine type 2 diabetes as a predictor of handgrip strength decline during an 11-year follow-up among men and women aged 55 years. <b><i>Methods:</i></b> We used Finnish population-based Health 2000 Survey and its follow-up measurements in 2011. The study population consisted of 1,200 individuals, aged 55–86 years at baseline. Baseline fasting glucose level or use of diabetes medication was used to categorize the participants into diabetes (≥7.0 mmol/L), prediabetes (≥6.1 mmol/L but &lt;7.0 mmol/L), and nondiabetes (&lt;6.1 mmol/L) groups. Handgrip strength was measured at baseline and during 11-year follow-up. <b><i>Results:</i></b> Mean handgrip strength at baseline did not differ between diabetes groups in men or women. Among men during the 11-year follow-up, decline in muscle strength was significantly greater among diabetes group (−131.5 Newtons [<i>N</i>], 95% confidence interval (CI) −182.7 to −80.4) than nondiabetes group (−98.9 N, 95% CI −139.5 to −58.3) after adjusting for age, education, lifestyle factors, chronic conditions, and diabetes status at follow-up. Among women, muscle strength decline did not differ between diabetes, prediabetes, or nondiabetes groups after adjusting for all potential covariates, the results being −45.0 N (95% CI −73.2 to −16.7), −29.4 N (95% CI −59.7 to 0.9), and −42.3 N (95% CI −70.5 to −14.1), respectively. <b><i>Conclusions:</i></b> The presence of type 2 diabetes was associated with greater muscle strength decline among older men but not among older women.
DOI: 10.5281/zenodo.4028056
title: EnerPos simulation data

description: Those data are from EnerPos, an educational net-zero energy building in the tropic. The building is located at University of Reunion Island, France (21.340846°S, 55.490897°E). There are 3 sets: Microgrid characteristics, measured data and forecasted data. Microgrid characteristic: System description, Grid cost Monitored data: Solar irradiance, Wind Speed and direction, Energy consumption The forecasted data are probabilistic data with 1 hour resolutions: Linear quantile regression (LQR), Analog forecast, Climatology forecast, Variance Deficit
description: The authors acknowledge the financial support given by Region Reunion and European Regional development Fund (FEDER) under the POE-FEDER 2014-2020 (n$^{\circ}$DIRED/20161452-181554) PhD scholarship.
DOI: 10.5281/zenodo.4028055
title: EnerPos simulation data

description: Those data are from EnerPos, an educational net-zero energy building in the tropic. The building is located at University of Reunion Island, France (21.340846°S, 55.490897°E). There are 3 sets: Microgrid characteristics, measured data and forecasted data. Microgrid characteristic: System description, Grid cost Monitored data: Solar irradiance, Wind Speed and direction, Energy consumption The forecasted data are probabilistic data with 1 hour resolutions: Linear quantile regression (LQR), Analog forecast, Climatology forecast, Variance Deficit
description: The authors acknowledge the financial support given by Region Reunion and European Regional development Fund (FEDER) under the POE-FEDER 2014-2020 (n$^{\circ}$DIRED/20161452-181554) PhD scholarship.
DOI: 10.5281/zenodo.5529742
title: In-plane, In-situ domain switching in BaTiO3 thin films. BE-PFM data and CV curve.

description: In-Plane band-exitation piezoresponse force microsopy data and CV curve in BaTiO3<br> The BE-PFM data have been fit to a second harmonic oscillator.<br> The data is stored as as python dictionaries that have been pickled. They contain the fitting paramaters for each pixel in each image.<br> The first image run4_0002_fit.lsqfit with zero bias.<br> The bias for all images are stored in CV.CV, also a python dictionary that has been pickled, and contains the voltage [V] and capacitance [F] for all 129 images.<br> See the jupyter notebook for how to read the data
DOI: 10.5281/zenodo.5529741
title: In-plane, In-situ domain switching in BaTiO3 thin films. BE-PFM data and CV curve.

description: In-Plane band-exitation piezoresponse force microsopy data and CV curve in BaTiO3<br> The BE-PFM data have been fit to a second harmonic oscillator.<br> The data is stored as as python dictionaries that have been pickled. They contain the fitting paramaters for each pixel in each image.<br> The first image run4_0002_fit.lsqfit with zero bias.<br> The bias for all images are stored in CV.CV, also a python dictionary that has been pickled, and contains the voltage [V] and capacitance [F] for all 129 images.<br> See the jupyter notebook for how to read the data
DOI: 10.6084/m9.figshare.16685095
title: Supplementary Material for: The Association between Carotid Intima-Media Thickness and Cognitive Impairment: A Systematic Review and Meta-Analysis

description: <b><i>Background:</i></b> Emerging evidence suggests that cognitive impairment (CI) and different etiologies of dementia, including Alzheimer’s disease (AD), are associated with vascular risk factors and atherosclerosis. In clinical practice, carotid intima-media thickness (CIMT) measured by ultrasonography may be a marker of atherosclerosis. Many studies report increased CIMT in patients with dementia and CI although a firm association has not yet been established. <b><i>Aim:</i></b> This systematic review and meta-analysis were conducted to study the relationship between CIMT, dementia, and CI. <b><i>Methods:</i></b> The literature search was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and included the following databases: Medline, Embase, Cochrane Library, and Epistemonikos. The search spanned from 2000 to 2020 and was limited to English and Scandinavian languages. <b><i>Results:</i></b> The main analysis of CIMT in subjects with CI compared to subjects with no cognitive impairment (NCI) included 12 studies; 1,089 subjects with CI and 5,223 with NCI. There was no significant difference in CIMT between the CI and NCI groups. However, subgroup analyses revealed significantly higher CIMT in the mild cognitive impairment (MCI) and dementia groups than the NCI group. In addition, patients with dementia had increased CIMT compared to patients with MCI, and patients with AD demonstrated higher CIMT than those with vascular cognitive impairment (VCI). <b><i>Conclusion:</i></b> CIMT may be higher in subjects with CI than in cognitively healthy subjects although no significant difference was observed in our main analysis. CIMT was higher in the dementia group than the MCI group and in the AD group compared to the VCI group.