cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/4ewt5o
title: 400.zip.009
DOI: 10.57745/2o9t6x
title: 400.zip.020
DOI: 10.57745/pl5lkj
title: 400.zip.012
DOI: 10.57745/bchmit
title: 400.zip.001
DOI: 10.57745/buxqwk
title: 400.zip.017
DOI: 10.57745/ycmkni
title: 400.zip.006
DOI: 10.57745/pkwdno
title: 400.zip.013
DOI: 10.57745/21mjp9
title: 400.zip.018
DOI: 10.57745/a28t0a
title: 400.zip.016
DOI: 10.57745/nlioll
title: 400.zip.021
DOI: 10.57745/b8m3g4
title: 400.zip.011
DOI: 10.57745/mzetwl
title: 400.zip.002
DOI: 10.57745/qetojg
title: 500.zip.002
DOI: 10.57745/xhetng
title: 500.zip.001
DOI: 10.5281/zenodo.8112486
title: Neutron Imaging Radiographs in Battery and Electrolyte Experiments

description: This dataset consists of raw neutron imaging radiographs acquired during experiments on batteries and electrolytes at PSI SINQ neutron source. The radiographs were obtained using a wavelength-resolved neutron imaging technique (time-of-flight neutron imaging). Additionally, the dataset provides Python functions and Jupyter notebooks for processing and analyzing the raw images. Proper citation of this dataset is appreciated to acknowledge the authors and promote reproducibility in scientific research.
DOI: 10.5281/zenodo.8112487
title: Neutron Imaging Radiographs in Battery and Electrolyte Experiments

description: This dataset consists of raw neutron imaging radiographs acquired during experiments on batteries and electrolytes at PSI SINQ neutron source. The radiographs were obtained using a wavelength-resolved neutron imaging technique (time-of-flight neutron imaging). Additionally, the dataset provides Python functions and Jupyter notebooks for processing and analyzing the raw images. Proper citation of this dataset is appreciated to acknowledge the authors and promote reproducibility in scientific research.
DOI: 10.57745/mkhcxj
title: 500.zip.028
DOI: 10.57745/tomxk7
title: 500.zip.012
DOI: 10.57745/xbbwuk
title: 500.zip.035
DOI: 10.57745/italog
title: 500.zip.019
DOI: 10.57745/8dleoc
title: 500.zip.032
DOI: 10.57745/9itcfq
title: 500.zip.017
DOI: 10.57745/tlae5m
title: 500.zip.023
DOI: 10.57745/bdw6ni
title: 500.zip.027
DOI: 10.57745/m1vmwl
title: 500.zip.026
DOI: 10.57745/mtojdz
title: 500.zip.021
DOI: 10.57745/pkrbcc
title: 500.zip.005
DOI: 10.57745/noyjkg
title: 500.zip.011
DOI: 10.57745/vcji4w
title: 500.zip.036
DOI: 10.57745/5fwnzl
title: 500.zip.022
DOI: 10.57745/ffnyzd
title: 500.zip.006
DOI: 10.57745/0zl0xp
title: 500.zip.016
DOI: 10.57745/r1dzoo
title: 500.zip.030
DOI: 10.57745/8stb9h
title: 500.zip.015
DOI: 10.57745/p81uqp
title: 500.zip.031
DOI: 10.57745/iyxre8
title: 500.zip.034
DOI: 10.57745/2hhqla
title: 500.zip.024
DOI: 10.57745/ni5het
title: 500.zip.008
DOI: 10.57745/1yflxx
title: 500.zip.010
DOI: 10.57745/fykvcb
title: 500.zip.029
DOI: 10.57745/gq4lkg
title: 500.zip.004
DOI: 10.57745/ynac1d
title: 500.zip.007
DOI: 10.57745/px4cpy
title: 500.zip.018
DOI: 10.57745/zqywpt
title: 500.zip.013
DOI: 10.57745/ccj2zn
title: 500.zip.003
DOI: 10.57745/0fzxdl
title: 500.zip.014
DOI: 10.57745/j1myer
title: 500.zip.020
DOI: 10.57745/gbasjj
title: 500.zip.025
DOI: 10.57745/rapd5a
title: 500.zip.009
DOI: 10.57745/blxjtg
title: 500.zip.033
DOI: 10.57745/vmwpxv
title: 600.zip.031
DOI: 10.57745/lmbgje
title: 600.zip.008
DOI: 10.57745/xexadx
title: 600.zip.024
DOI: 10.57745/umkiry
title: 600.zip.006
DOI: 10.57745/jgfymh
title: 600.zip.048
DOI: 10.57745/vlp4tc
title: 600.zip.014
DOI: 10.57745/ivekqz
title: 600.zip.004
DOI: 10.57745/cicdn5
title: 600.zip.041
DOI: 10.57745/ujgs9b
title: 600.zip.036
DOI: 10.57745/69mmma
title: 600.zip.043
DOI: 10.57745/ldjwof
title: 600.zip.022
DOI: 10.57745/6bsu5p
title: 600.zip.047
DOI: 10.57745/rl2www
title: 600.zip.051
DOI: 10.57745/tznifr
title: 600.zip.011
DOI: 10.57745/40ju0t
title: 600.zip.052
DOI: 10.57745/k7vupx
title: 600.zip.032
DOI: 10.57745/uhgkto
title: 600.zip.046
DOI: 10.57745/edl50m
title: 600.zip.037
DOI: 10.57745/pmpqlp
title: 600.zip.035
DOI: 10.57745/vfch7p
title: 600.zip.028
DOI: 10.57745/gw2vgj
title: 600.zip.027
DOI: 10.57745/mmjlww
title: 600.zip.009
DOI: 10.57745/ghozzy
title: 600.zip.005
DOI: 10.57745/nmdjyj
title: 600.zip.010
DOI: 10.57745/yekyji
title: 600.zip.016
DOI: 10.57745/ju8yny
title: 600.zip.018
DOI: 10.57745/ivabig
title: 600.zip.045
DOI: 10.57745/lqa9en
title: 600.zip.029
DOI: 10.57745/1ur58u
title: 600.zip.026
DOI: 10.57745/alz1hx
title: 600.zip.015
DOI: 10.57745/jxg1xo
title: 600.zip.030
DOI: 10.57745/fnfgqg
title: 600.zip.003
DOI: 10.57745/qg9rym
title: 600.zip.038
DOI: 10.57745/8xfdmf
title: 600.zip.002
DOI: 10.57745/wyftl6
title: 600.zip.033
DOI: 10.57745/9wfwee
title: 600.zip.007
DOI: 10.57745/cxr7dj
title: 600.zip.020
DOI: 10.57745/cajshh
title: 600.zip.017
DOI: 10.57745/c9qigp
title: 600.zip.001
DOI: 10.57745/bvw62h
title: 600.zip.019
DOI: 10.57745/q5m1p0
title: 600.zip.042
DOI: 10.5281/zenodo.8113846
title: VIT_iCub_Dataset

description: VIT_iCub_Dataset relative to Submitted Paper (RSOS-230937)
DOI: 10.57745/wznuce
title: 600.zip.012
DOI: 10.5281/zenodo.8113845
title: VIT_iCub_Dataset

description: VIT_iCub_Dataset relative to Submitted Paper (RSOS-230937)
DOI: 10.57745/c7sm8d
title: 600.zip.034
DOI: 10.57745/nwypxz
title: 600.zip.039
DOI: 10.57745/oouk20
title: 600.zip.050
DOI: 10.57745/3mipp7
title: 600.zip.013
DOI: 10.57745/ozrgus
title: 600.zip.049
DOI: 10.57745/yjfets
title: 600.zip.021
DOI: 10.57745/be5qrv
title: 600.zip.025
DOI: 10.57745/r2mi8k
title: 600.zip.040
DOI: 10.57745/sui4eh
title: 600.zip.023
DOI: 10.57745/4mvcxi
title: 600.zip.044
DOI: 10.57745/0ccu8z
title: 300.zip.001
DOI: 10.57745/ax5mag
title: README.txt
DOI: 10.5281/zenodo.8113875
title: Political Participation and Open Data Maturity

description: To discover a correlation between open data maturity and political participation of European Union countries data about the Open data Maturity, parliamentary voter turnout (%) and individuals using the internet for taking part in online consultations or voting (%) were used.
DOI: 10.5281/zenodo.8113874
title: Political Participation and Open Data Maturity

description: To discover a correlation between open data maturity and political participation of European Union countries data about the Open data Maturity, parliamentary voter turnout (%) and individuals using the internet for taking part in online consultations or voting (%) were used.
DOI: 10.5281/zenodo.8113879
title: Test load

description: anibesa xyzzy Test load
DOI: 10.5281/zenodo.8113878
title: Test load

description: anibesa xyzzy Test load
DOI: 10.5281/zenodo.8113854
title: Processing load, and not stimulus evidence, determines the duration of unconscious visual feature integration

description: Data and MATLAB analysis script for the paper "Processing load, and not stimulus evidence, determines the duration of unconscious visual feature integration"
DOI: 10.5281/zenodo.8099444
title: Dataset of AI4ER MRes titled "Improving Urban Tree Management Using High-Resolution Satellite Data"

description: This repository contains the data used in the Master's thesis titled "Improving Urban Tree Management Using High-Resolution Satellite Data" by Andrés C. Zúñiga-González as part of the AI4ER MRes 1st year project at the University of Cambridge. The folders are split into large and small training and testing datasets. These folders contain the tiles (in png and tif formats) used in the models. In addition, it includes the crowns in ESRI Shapefile format for the training and testing datasets. Finally, it contains the best model from the project (named urban_trees_Cambridge_20230630.pth).
DOI: 10.5281/zenodo.8099445
title: Dataset of AI4ER MRes titled "Improving Urban Tree Management Using High-Resolution Satellite Data"

description: This repository contains the data used in the Master's thesis titled "Improving Urban Tree Management Using High-Resolution Satellite Data" by Andrés C. Zúñiga-González as part of the AI4ER MRes 1st year project at the University of Cambridge. The folders are split into large and small training and testing datasets. These folders contain the tiles (in png and tif formats) used in the models. In addition, it includes the crowns in ESRI Shapefile format for the training and testing datasets. Finally, it contains the best model from the project (named urban_trees_Cambridge_20230630.pth).
DOI: 10.5281/zenodo.8113842
title: Dataset of AI4ER MRes titled "Improving Urban Tree Management Using High-Resolution Satellite Data"

description: This repository contains the data used in the Master's thesis titled "Improving Urban Tree Management Using High-Resolution Satellite Data" by Andrés C. Zúñiga-González as part of the AI4ER MRes 1st year project at the University of Cambridge. The folders are split into large and small training and testing datasets. These folders contain the tiles (in png and tif formats) used in the models. In addition, it includes the crowns in ESRI Shapefile format for the training and testing datasets. Finally, it contains the best model from the project (named urban_trees_Cambridge_20230630.pth).
DOI: 10.5281/zenodo.8105151
title: Block-group level predicted mode share for New York City and New York State

description: We provide two datasets of predicted mode share, one for New York City and another for New York State. Each row contains the mode proportion of trips along a census block group-level OD pair made by one of the four population segments: low-income, not low-income, students, and senior population. Six trip modes are considered: private auto, public transit (such as buses, light rail, and subways), on demand auto (taxi or TNC services such as Uber or Lyft), biking (including e-bike), walking, and carpool. The prediction is based on GLAM logit model calibrated with Replica's statewide synthetic population dataset. The in-sample prediction accuracy is quite competitive, with an overall accuracy of 90.28% in New York State and 88.63% in New York City. For more details of the model, please refer to our Github repository: BUILTNYU/GLAM-Logit (github.com)
DOI: 10.5281/zenodo.7718934
title: Block-group level predicted mode share for New York City and New York State

description: We provide two datasets of predicted mode share, one for New York City and another for New York State. Each row contains the mode proportion of trips along a census block group-level OD pair made by one of the four population segments: low-income, not low-income, students, and senior population. Six trip modes are considered: private auto, public transit (such as buses, light rail, and subways), on demand auto (taxi or TNC services such as Uber or Lyft), biking (including e-bike), walking, and carpool. The prediction is based on GLAM logit model calibrated with Replica's statewide synthetic population dataset. The in-sample prediction accuracy is quite competitive, with an overall accuracy of 90.28% in New York State and 88.63% in New York City. For more details of the model, please refer to our Github repository: BUILTNYU/GLAM-Logit (github.com)
DOI: 10.6084/m9.figshare.23131424
title: Supplementary Material for: Cognition and Financial Decision-Making in Older Adult Spouses

description: Introduction Age-related decline in executive functioning has been found to negatively impact one’s capacity to make prudent financial decisions. The broader literature also speaks to the importance of considering interrelatedness in older spouses’ functioning, as these individuals typically represent one’s longest and closest relationship that involves an extended history of shared experiences. Accordingly, the aim of the present study was to provide the first examination of whether older adults’ financial decision making capacity is impacted not only by their own, but also by their partner’s, level of cognitive functioning. Method Sixty-three heterosexual spousal dyads comprising older adults aged 60-88 participated. The contribution of executive functioning and perceptions of partner’s cognitive decline on financial decision-making behavior and financial competency was assessed through two actor-partner interdependence models. Results As predicted, for both genders, one’s own executive functioning was predictive of one’s own financial decision-making capacity. However, of particular interest was the finding that for females (but not males) perceiving greater cognitive decline in their spouse predicted their own (greater) financial competency. Discussion/Conclusion Examining whether partner interdependence extends to the realm of financial decision-making is not only a theoretically but also practically important question. These data provide initial insights that such a relationship does exist and highlight further important avenues for future research.
DOI: 10.6084/m9.figshare.23131424.v1
title: Supplementary Material for: Cognition and Financial Decision-Making in Older Adult Spouses

description: Introduction Age-related decline in executive functioning has been found to negatively impact one’s capacity to make prudent financial decisions. The broader literature also speaks to the importance of considering interrelatedness in older spouses’ functioning, as these individuals typically represent one’s longest and closest relationship that involves an extended history of shared experiences. Accordingly, the aim of the present study was to provide the first examination of whether older adults’ financial decision making capacity is impacted not only by their own, but also by their partner’s, level of cognitive functioning. Method Sixty-three heterosexual spousal dyads comprising older adults aged 60-88 participated. The contribution of executive functioning and perceptions of partner’s cognitive decline on financial decision-making behavior and financial competency was assessed through two actor-partner interdependence models. Results As predicted, for both genders, one’s own executive functioning was predictive of one’s own financial decision-making capacity. However, of particular interest was the finding that for females (but not males) perceiving greater cognitive decline in their spouse predicted their own (greater) financial competency. Discussion/Conclusion Examining whether partner interdependence extends to the realm of financial decision-making is not only a theoretically but also practically important question. These data provide initial insights that such a relationship does exist and highlight further important avenues for future research.
DOI: 10.6084/m9.figshare.23617773
title: Supplementary Material for: Low-Density Lipoprotein Adsorption by Centrifugal Plasma Separation Can Shorten Treatment Time

description: Low-density lipoprotein (LDL) apheresis is effective for nephrotic syndrome in drug-resistant focal segmental glomerulosclerosis (FSGS). Dextran sulfate adsorption of LDL (DSAL) is widely used for this purpose. The Liposorber LA-15 system performs DSAL by membrane plasma separation (mDSAL) using an MA-03 plasma purification device. However, sufficient blood flow (Qb) frequently cannot be obtained from a peripheral vein with mDSAL. The recommended plasma filtration flow rate (Qf) when using the OP-05W membrane plasma separator is no more than 1/3 of Qb, giving plasma removal efficiency (PRE) of about 30%. In contrast, the centrifugal blood component separator Spectra Optia has PRE of 87–92.5% because centrifugal separation enables effective separation of plasma components even at low Qb. Here, we present the case of a man in his 40s with FSGS, for whom we began treatment with mDSAL with the intention of completing a 12-session cycle, but extended treatment times were required due to low Qb. Therefore, we switched to DSAL by centrifugation (cDSAL) using the Liposorber LA-40 system from the 6th session onward. Treatment time decreased from 190 min for the fifth session using mDSAL to 140 min for the sixth session using cDSAL. Mean treatment time also decreased from 155 ± 9 min for mDSAL (5 sessions) to 119 ± 20 min for cDSAL (7 sessions). Moreover, the LDL removal rate at a processed plasma volume was similar for both modalities. In conclusion, cDSAL can enable efficient plasma separation even with low Qb, with a comparable LDL removal rate and shorter treatment time relative to mDSAL.
DOI: 10.6084/m9.figshare.23617773.v1
title: Supplementary Material for: Low-Density Lipoprotein Adsorption by Centrifugal Plasma Separation Can Shorten Treatment Time

description: Low-density lipoprotein (LDL) apheresis is effective for nephrotic syndrome in drug-resistant focal segmental glomerulosclerosis (FSGS). Dextran sulfate adsorption of LDL (DSAL) is widely used for this purpose. The Liposorber LA-15 system performs DSAL by membrane plasma separation (mDSAL) using an MA-03 plasma purification device. However, sufficient blood flow (Qb) frequently cannot be obtained from a peripheral vein with mDSAL. The recommended plasma filtration flow rate (Qf) when using the OP-05W membrane plasma separator is no more than 1/3 of Qb, giving plasma removal efficiency (PRE) of about 30%. In contrast, the centrifugal blood component separator Spectra Optia has PRE of 87–92.5% because centrifugal separation enables effective separation of plasma components even at low Qb. Here, we present the case of a man in his 40s with FSGS, for whom we began treatment with mDSAL with the intention of completing a 12-session cycle, but extended treatment times were required due to low Qb. Therefore, we switched to DSAL by centrifugation (cDSAL) using the Liposorber LA-40 system from the 6th session onward. Treatment time decreased from 190 min for the fifth session using mDSAL to 140 min for the sixth session using cDSAL. Mean treatment time also decreased from 155 ± 9 min for mDSAL (5 sessions) to 119 ± 20 min for cDSAL (7 sessions). Moreover, the LDL removal rate at a processed plasma volume was similar for both modalities. In conclusion, cDSAL can enable efficient plasma separation even with low Qb, with a comparable LDL removal rate and shorter treatment time relative to mDSAL.
DOI: 10.6084/m9.figshare.23617998
title: Supplementary Material for: A Case of Multicystic Dysplastic Kidney Presenting as a Single Midline Pelvic Cyst

description: We present an unusual case of a female neonate presenting with a single midline pelvic cyst. Prenatal imaging was suggestive of multicystic dysplastic kidney (MCDK), but postnatal imaging was atypical for this diagnosis given the location and singular cyst noted. The patient ultimately underwent surgical exploration and was diagnosed with an ectopic MCDK. Ectopic MCDK should be considered in the differential diagnosis of unilocular cystic pelvic lesions identified in the perinatal period.
DOI: 10.6084/m9.figshare.22839479
title: Supplementary Material for: Diagnosis and Treatment of Patients Utilizing Complementary Medicine at a Tertiary Referral Hospital in Eastern Switzerland

description: Background In 2012, the Cantonal Hospital of St. Gallen, a tertiary referral hospital in Eastern Switzerland, opened its Center for Integrative Medicine (ZIM). This study aims to characterize disease and treatment characteristics of adult patients treated at the ZIM. Patients and Methods For all new patients physicians at the ZIM completed questionnaires on patients’ diagnoses and treatments. Descriptive statistics for categorical variables were reported as percentages. Univariable logistic regression analysis was used to assess the data. The analysis was performed with the statistical software package SPSS (IBM). Results From 2015 until 2020, 4’592 new patients were seen at the ZIM. The most common diagnosis in the supergroups was cancer (48%), followed by pain diagnoses (33%). Chronic pain as a subgroup was represented the most in patients (29%). Anthroposophical medication was the most commonly prescribed therapy, in 74% of patients with cancer and 73% with pain diagnosis. The latter was associated with the prescription of eurythmy therapy (OR 3.80, p&lt;0.001), traditional Chinese medicine (OR 3.34, p&lt;0.001) or art therapy (OR 5.15, p&lt;0.001), whereas mistletoe therapy was the preferred treatment option (OR 59.0, p&lt;0.001) for a cancer diagnosis. Conclusion and Outlook The results will help to adapt CM services to patients’ needs and provide a good basis for the planning of future services in CM in major hospitals. Further research should be conducted focusing on specific health outcomes.
DOI: 10.6084/m9.figshare.22839479.v1
title: Supplementary Material for: Diagnosis and Treatment of Patients Utilizing Complementary Medicine at a Tertiary Referral Hospital in Eastern Switzerland

description: Background In 2012, the Cantonal Hospital of St. Gallen, a tertiary referral hospital in Eastern Switzerland, opened its Center for Integrative Medicine (ZIM). This study aims to characterize disease and treatment characteristics of adult patients treated at the ZIM. Patients and Methods For all new patients physicians at the ZIM completed questionnaires on patients’ diagnoses and treatments. Descriptive statistics for categorical variables were reported as percentages. Univariable logistic regression analysis was used to assess the data. The analysis was performed with the statistical software package SPSS (IBM). Results From 2015 until 2020, 4’592 new patients were seen at the ZIM. The most common diagnosis in the supergroups was cancer (48%), followed by pain diagnoses (33%). Chronic pain as a subgroup was represented the most in patients (29%). Anthroposophical medication was the most commonly prescribed therapy, in 74% of patients with cancer and 73% with pain diagnosis. The latter was associated with the prescription of eurythmy therapy (OR 3.80, p&lt;0.001), traditional Chinese medicine (OR 3.34, p&lt;0.001) or art therapy (OR 5.15, p&lt;0.001), whereas mistletoe therapy was the preferred treatment option (OR 59.0, p&lt;0.001) for a cancer diagnosis. Conclusion and Outlook The results will help to adapt CM services to patients’ needs and provide a good basis for the planning of future services in CM in major hospitals. Further research should be conducted focusing on specific health outcomes.
DOI: 10.5281/zenodo.8113926
title: Propane using SWERN conditions

description: Gaussian 16 (C01) calculation
DOI: 10.5281/zenodo.8113925
title: Propane using SWERN conditions

description: Gaussian 16 (C01) calculation
DOI: 10.6084/m9.figshare.23618280.v1
title: Supplementary Material for: A Pilot Study to Identify Grass Species That Mediate Pollen Allergy in Thailand

description: <b><i>Introduction:</i></b> Some grass species that are either common or widely spread in Thailand have not been used for pollen allergy diagnosis. In order to improve diagnostic accuracy, the aim of this pilot study was to identify the grass species responsible for pollen allergy in Thailand. <b><i>Methods:</i></b> The skin sensitization of pollen extracts from six different grass species, including rice (<i>Oryza sativa</i>), corn (<i>Zea mays</i>), sorghum (<i>Sorghum bicolor</i>), para grass (<i>Urochloa mutica</i>), ruzi grass (<i>Urochloa eminii</i>), and green panic grass (<i>Megathyrsus maximus</i>), was evaluated by skin prick test (SPT). Serum’s IgE specific to each pollen extract was analyzed by Western blot (WB). The ImmunoCAP<sup>TM</sup> test for Johnson grass was also evaluated. <b><i>Results:</i></b> Of the thirty-six volunteers who participated in this study, eighteen tested positive for at least one of the diagnostic tests, namely SPT, WB analysis, or ImmunoCAP<sup>TM</sup>. Notably, skin reactivity to para grass, corn, sorghum, and rice was more commonly observed compared to ruzi grass and green panic grass. However, in the WB analysis, individuals with pollen-specific IgE were more frequently detected in sorghum, green panic grass, corn, rice, and ruzi grass than para grass. <b><i>Conclusion:</i></b> In this pilot investigation, our findings indicate that the pollen extracts of rice, corn, sorghum, and para grass are associated with pollen allergy in Thailand. These results contribute to the current knowledge on the identification of grass species that are associated with pollen allergy in Thailand and Southeast Asia.