cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6818298
title: Research data supporting: "Classifying soft self-assembled materials via unsupervised machine learning of defects"

description: Research data supporting: "Classifying soft self-assembled materials via unsupervised machine learning of defects". The root folder contains 5 folders: FIBERS MEMBRANES_and_MICELLES NANOPARTICLES COMPARISON paper_images The folders 1. to 3. contain the data for every soft-matters architecture used to produce the results discussed in the main paper. Each of these folders contain additional sub-fordels: TRAJ, SOAP, PCA, CLUSTERING, containing the files discussed in the main paper. Folder 4. contains the data of the comparison between different classes of materials (SOAP, PCA, and CLUSTERING sub-folders). Folder 5. contains the images that are showed in the main paper and in the Supporting Information.
DOI: 10.5281/zenodo.6822281
title: Poicephalus robustus zanfona 1

description: .
DOI: 10.5281/zenodo.6822280
title: Poicephalus robustus zanfona 1

description: .
DOI: 10.6084/m9.figshare.19144994
title: Simulation of Land Use/Land Cover Changes and Urban Expansion in Estonia by a Hybrid ANN–CA–MCA Model and Utilizing Spectral-Textural Indices

description: Over the recent two decades, land use/land cover (LULC) drastically changed in Estonia. Even though the population decreased by 11%, noticeable agricultural and forest lands areas were turned into urban land. In this work, we analyzed those LULC changes by mapping the spatial characteristics of LULC and urban expansion in the years 2000-2019 in Estonia. Moreover, using the revealed spatiotemporal transitions of LULC, we simulated LULC and urban expansion for 2030. Landsat 5 and 8 data were used to estimate 147 spectral-textural indices in the Google Earth Engine cloud computing platform. After that, 19 selected indices were used to model LULC changes by applying the hybrid artificial neural network, cellular automata, and Markov chain analysis (ANN-CA-MCA). While determining spectral-textural indices is quite common for LULC classifications, utilization of these continues indices in LULC change detection and examining these indices at the landscape scale is still in infancy. This country-wide modeling approach provided the first comprehensive projection of future LULC utilizing spectral-textural indices. In this work, we utilized the hybrid ANN-CA-MCA model for predicting LULC in Estonia for 2030; we revealed that the predicted changes in LULC from 2019 to 2030 were similar to the observed changes from 2011 to 2019. The predicted change in the area of artificial surfaces was an increased rate of 1.33% to reach 787.04 sq. km in total by 2030. Between 2019 and 2030, the other significant changes were the decrease of 34.57 km2 of forest lands and the increase of agricultural lands by 14.90 km2 and wetlands by 9.31 km2. These findings can develop a proper course of action for long-term spatial planning in Estonia. Therefore, a key policy priority should be to plan for the stable care of forest lands to maintain biodiversity.
DOI: 10.6084/m9.figshare.19144994.v1
title: Simulation of Land Use/Land Cover Changes and Urban Expansion in Estonia by a Hybrid ANN–CA–MCA Model and Utilizing Spectral-Textural Indices

description: Over the recent two decades, land use/land cover (LULC) drastically changed in Estonia. Even though the population decreased by 11%, noticeable agricultural and forest lands areas were turned into urban land. In this work, we analyzed those LULC changes by mapping the spatial characteristics of LULC and urban expansion in the years 2000-2019 in Estonia. Moreover, using the revealed spatiotemporal transitions of LULC, we simulated LULC and urban expansion for 2030. Landsat 5 and 8 data were used to estimate 147 spectral-textural indices in the Google Earth Engine cloud computing platform. After that, 19 selected indices were used to model LULC changes by applying the hybrid artificial neural network, cellular automata, and Markov chain analysis (ANN-CA-MCA). While determining spectral-textural indices is quite common for LULC classifications, utilization of these continues indices in LULC change detection and examining these indices at the landscape scale is still in infancy. This country-wide modeling approach provided the first comprehensive projection of future LULC utilizing spectral-textural indices. In this work, we utilized the hybrid ANN-CA-MCA model for predicting LULC in Estonia for 2030; we revealed that the predicted changes in LULC from 2019 to 2030 were similar to the observed changes from 2011 to 2019. The predicted change in the area of artificial surfaces was an increased rate of 1.33% to reach 787.04 sq. km in total by 2030. Between 2019 and 2030, the other significant changes were the decrease of 34.57 km2 of forest lands and the increase of agricultural lands by 14.90 km2 and wetlands by 9.31 km2. These findings can develop a proper course of action for long-term spatial planning in Estonia. Therefore, a key policy priority should be to plan for the stable care of forest lands to maintain biodiversity.
DOI: 10.5281/zenodo.6822415
title: Orthopsittaca manilatus zanfona 1

description: .
DOI: 10.5281/zenodo.6822414
title: Orthopsittaca manilatus zanfona 1

description: .
DOI: 10.6084/m9.figshare.14932533.v1
title: Transcriptome genetic differences between responders and non-responders before bronchial thermoplasty

description: Bronchial thermoplasty (BT) is an endoscopic therapy used for the treatment of refractory asthma. Some predictive factors, for example the number of activations and severity of disease at baseline, have been used to determine the effectiveness of BT in treating patients with asthma. The aim of the present study was to comprehensively analyze RNA samples from the airway bronchial tissues of patients with severe asthma treated by BT, and to characterize each patient as a BT responder or non-responder. Eight patients with severe asthma scheduled to undergo BT and bronchus biopsies were recruited before the procedures were conducted. Extracted RNA samples from bronchial tissues were sequenced and differential gene expression analysis was carried out. Results/discussion: Subjects with Asthma Quality of Life Questionnaire score changes ≥0.5 for a period of 12 months were considered BT responders. Non-responders had score changes &lt;0.5 for 12 months. Histopathology findings were similar to those reported previously, and no significant differences in the expression of α-smooth muscle actin and protein gene product 9.5 were observed between responders and non-responders. Transcriptome analysis at baseline identified 67 genes that were differentially expressed between responders and non-responders, including <i>SLPI</i>, <i>MMP3</i>, and <i>MUC19</i>, which were upregulated in responders. Although the differentially expressed gene products may have conflicting effects, genes in the airway epithelium and extracellular matrix of patients with severe asthma may determine the BT response. Our results identified possible transcriptomic changes that could be used to identify BT responders.
DOI: 10.6084/m9.figshare.15104810
title: Disease burden and treatment adherence among children and adolescent patients with asthma

description: To assess asthma burden and medication adherence in a US de-identified patient level claims database. This retrospective observational study used the IQVIA PHARMETRICS PLUS database to identify patients aged 5–17 years, diagnosed with asthma between 01/01/2012–09/30/2017 (asthma cohort), and those initiating treatment with twice-daily inhaled corticosteroids (ICS) or twice-daily ICS/long-acting beta<sub>2</sub> agonists (LABA) (treatment cohorts; index date = first dispensing). Patient characteristics, asthma medication, and healthcare resource utilization were assessed over a 12-month baseline period. Treatment cohort endpoints were assessed in a 12-month follow-up period, including: adherence using proportion of days covered (PDC); persistence (no gap &gt;45 days between dispensings). The asthma cohort included 186,868 patients (112,689 children, mean age 7.9 years; 74,179 adolescents, mean age 14.3 years). During baseline, 34.5% used ICS or ICS/LABA, 24% used oral corticosteroids, 11.1% had ≥1 asthma-related emergency department visit, 2.2% had ≥1 asthma-related hospitalization. Among treatment cohorts, 47,276 and 10,247 patients initiated twice-daily ICS and ICS/LABA, respectively (mean ages: 9.9; 12.5 years). Mean PDC adherence to twice-daily ICS and ICS/LABA was 30% and 34% at 6 months (PDC ≥0.8: 4.3%; 6.1%); 21% and 24% at 12 months (PDC ≥0.8: 1.8%; 2.8%). Persistence with twice-daily ICS and ICS/LABA was 10.1% and 14.2% at 6 months; 5.6% and 8.0% at 12 months. A large disease burden and unmet need exist among US children/adolescent asthma patients, evidenced by low use of, and poor adherence to, ICS-containing medication, the notable proportion of oral corticosteroid users, and higher-than-expected asthma-related emergency department and hospitalization rates.
DOI: 10.6084/m9.figshare.14932533
title: Transcriptome genetic differences between responders and non-responders before bronchial thermoplasty

description: Bronchial thermoplasty (BT) is an endoscopic therapy used for the treatment of refractory asthma. Some predictive factors, for example the number of activations and severity of disease at baseline, have been used to determine the effectiveness of BT in treating patients with asthma. The aim of the present study was to comprehensively analyze RNA samples from the airway bronchial tissues of patients with severe asthma treated by BT, and to characterize each patient as a BT responder or non-responder. Eight patients with severe asthma scheduled to undergo BT and bronchus biopsies were recruited before the procedures were conducted. Extracted RNA samples from bronchial tissues were sequenced and differential gene expression analysis was carried out. Results/discussion: Subjects with Asthma Quality of Life Questionnaire score changes ≥0.5 for a period of 12 months were considered BT responders. Non-responders had score changes &lt;0.5 for 12 months. Histopathology findings were similar to those reported previously, and no significant differences in the expression of α-smooth muscle actin and protein gene product 9.5 were observed between responders and non-responders. Transcriptome analysis at baseline identified 67 genes that were differentially expressed between responders and non-responders, including <i>SLPI</i>, <i>MMP3</i>, and <i>MUC19</i>, which were upregulated in responders. Although the differentially expressed gene products may have conflicting effects, genes in the airway epithelium and extracellular matrix of patients with severe asthma may determine the BT response. Our results identified possible transcriptomic changes that could be used to identify BT responders.
DOI: 10.6084/m9.figshare.15104810.v1
title: Disease burden and treatment adherence among children and adolescent patients with asthma

description: To assess asthma burden and medication adherence in a US de-identified patient level claims database. This retrospective observational study used the IQVIA PHARMETRICS PLUS database to identify patients aged 5–17 years, diagnosed with asthma between 01/01/2012–09/30/2017 (asthma cohort), and those initiating treatment with twice-daily inhaled corticosteroids (ICS) or twice-daily ICS/long-acting beta<sub>2</sub> agonists (LABA) (treatment cohorts; index date = first dispensing). Patient characteristics, asthma medication, and healthcare resource utilization were assessed over a 12-month baseline period. Treatment cohort endpoints were assessed in a 12-month follow-up period, including: adherence using proportion of days covered (PDC); persistence (no gap &gt;45 days between dispensings). The asthma cohort included 186,868 patients (112,689 children, mean age 7.9 years; 74,179 adolescents, mean age 14.3 years). During baseline, 34.5% used ICS or ICS/LABA, 24% used oral corticosteroids, 11.1% had ≥1 asthma-related emergency department visit, 2.2% had ≥1 asthma-related hospitalization. Among treatment cohorts, 47,276 and 10,247 patients initiated twice-daily ICS and ICS/LABA, respectively (mean ages: 9.9; 12.5 years). Mean PDC adherence to twice-daily ICS and ICS/LABA was 30% and 34% at 6 months (PDC ≥0.8: 4.3%; 6.1%); 21% and 24% at 12 months (PDC ≥0.8: 1.8%; 2.8%). Persistence with twice-daily ICS and ICS/LABA was 10.1% and 14.2% at 6 months; 5.6% and 8.0% at 12 months. A large disease burden and unmet need exist among US children/adolescent asthma patients, evidenced by low use of, and poor adherence to, ICS-containing medication, the notable proportion of oral corticosteroid users, and higher-than-expected asthma-related emergency department and hospitalization rates.
DOI: 10.5281/zenodo.6822140
title: CNN for the classification of ICE-CAMERA images of Antarctic ice particles

description: -The file 'ZENODO_FILES.rar' contains the GoogleNet Convolutional Neural Network (CNN) trained to classify pre-processed ICE-CAMERA images (224*224*3) into 14 classes. CNN was developed for (Mathworks) MATLAB® R2020b. -The ICE-CAMERA images used for training, validation and testing the CNN are also contained in specific folders.
DOI: 10.5281/zenodo.6822139
title: CNN for the classification of ICE-CAMERA images of Antarctic ice particles

description: -The file 'ZENODO_FILES.rar' contains the GoogleNet Convolutional Neural Network (CNN) trained to classify pre-processed ICE-CAMERA images (224*224*3) into 14 classes. CNN was developed for (Mathworks) MATLAB® R2020b. -The ICE-CAMERA images used for training, validation and testing the CNN are also contained in specific folders.
DOI: 10.5517/ccdc.csd.cc25xhwh
title: CCDC 2023397: Experimental Crystal Structure Determination

description: Related Article: Liang-Liang Mao, Hongyan Xiao, Jin-Qin Zhao, Zhuo Diao, Wen Zhou, Hongwei Li, Chen-Ho Tung, Li-Zhu Wu, Huan Cong|2022|CCS Chem.|4|1|doi:10.31635/ccschem.022.202101728
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc26qc6j
title: CCDC 2047277: Experimental Crystal Structure Determination

description: Related Article: C. Walter, S. Kalra, R. Beltrán-Suito, M. Schwarze, P.W. Menezes, M. Driess|2022|Materials Today Chemistry|24|100905|doi:10.1016/j.mtchem.2022.100905
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27yjg6
title: CCDC 2083958: Experimental Crystal Structure Determination

description: Related Article: Timothy D. Lash, Sun T. Chaney, Amy L. Johnson, Jack T. Weisbond, Gregory M. Ferrence|2021|J.Porphyrins Phthalocyanines|25|1095|doi:10.1142/S1088424621501030
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27yjh7
title: CCDC 2083959: Experimental Crystal Structure Determination

description: Related Article: Timothy D. Lash, Sun T. Chaney, Amy L. Johnson, Jack T. Weisbond, Gregory M. Ferrence|2021|J.Porphyrins Phthalocyanines|25|1095|doi:10.1142/S1088424621501030
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc295psz
title: CCDC 2120641: Experimental Crystal Structure Determination

description: Related Article: yuegang chen|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.6822296
title: MACRORE_rawDataset

description: Raw database on discrete physico-chemical and nutrients sampling, physico-chemical sensor probe and plant incubations in the Réunion reef lagoon Database FQ parameters Database of seagrasses, sediment and community incubations
description: raw database, database is not totally curated
DOI: 10.5281/zenodo.3256078
title: MACRORE_rawDataset

description: Raw database on discrete physico-chemical and nutrients sampling, physico-chemical sensor probe and plant incubations in the Réunion reef lagoon Database FQ parameters Database of seagrasses, sediment and community incubations
description: raw database, database is not totally curated
DOI: 10.5281/zenodo.6822397
title: LEMMI instance 2021_9_VIR_NCBI, July 2022

description: LEMMI instance 2021_9_VIR_NCBI, to reproduce what is found on https://lemmi.ezlab.org See README.md
DOI: 10.5281/zenodo.6822396
title: LEMMI instance 2021_9_VIR_NCBI, July 2022

description: LEMMI instance 2021_9_VIR_NCBI, to reproduce what is found on https://lemmi.ezlab.org See README.md
DOI: 10.5281/zenodo.6822539
title: Psittacara holochlorus zanfona 1

description: .
DOI: 10.5281/zenodo.6822538
title: Psittacara holochlorus zanfona 1

description: .
DOI: 10.6084/m9.figshare.20292291
title: Supplementary Material for: Catheter ablation for atrial fibrillation in patients with chronic kidney disease and on dialysis – a meta-analysis and review

description: Background: Atrial fibrillation (AF) is common in chronic kidney disease (CKD) patients and is difficult to treat with antiarrhythmics and anticoagulants due to abnormal metabolism and increased side effects. Catheter ablation, if successful, may be a safer alternative. This review aims to analyse the effect of CKD or haemodialysis (HD) on recurrence of AF after catheter ablation . This review evaluates efficacy of catheter ablation therapy in CKD and haemodialysis (HD) patients by with single catheter ablation therapy. Methods: MEDLINE, and Embase, and Pubmed databases were searched until December 2020. Two authors abstracted the data independently. Relative risks were derived using random-effects meta-analysis. Results: Of the initially identified 520 782 studies, 65 and 34 observational studies on CKD and HD patients respectively were found reporting AF recurrence rates. During a mean (SD) follow-up of 25.5 (9.8) months, CKD patients have a higher risk of AF recurrence compared to patients without CKD (RR 2.34, 95% CI 1.36-4.02, p&lt;0.01). The heterogenicity test showed there were significant differences between individual studies (I2 = 91.0%, 95% CI 82.2%-95.6%). In a mean (SD) follow-up of 40.332.6 (20.826.8) months, HD patients may be at a higher risk of AF recurrence compared to healthy non-dialysis AF patients (RR 1.501.21, 95% CI 0.64-2.300.84-2.67, p=0.170.55). Heterogeneity analysis showed the studies were heterogeneous (I2 90.1�.3%, 95% CI 77.5%-95.6�.8%-96.9%, p &lt;0.01). Conclusion: Our meta-analysis suggests patients with CKD and on HD are more likely to have AF recurrences compared to AF patients who do not have CKD. However, more robust evidence from randomiszed controlled trials comparing catheter ablation and pharmaceutical rhythm therapy is urgently needed to guide therapy in this difficult to treat population.
DOI: 10.6084/m9.figshare.20292291.v1
title: Supplementary Material for: Catheter ablation for atrial fibrillation in patients with chronic kidney disease and on dialysis – a meta-analysis and review

description: Background: Atrial fibrillation (AF) is common in chronic kidney disease (CKD) patients and is difficult to treat with antiarrhythmics and anticoagulants due to abnormal metabolism and increased side effects. Catheter ablation, if successful, may be a safer alternative. This review aims to analyse the effect of CKD or haemodialysis (HD) on recurrence of AF after catheter ablation . This review evaluates efficacy of catheter ablation therapy in CKD and haemodialysis (HD) patients by with single catheter ablation therapy. Methods: MEDLINE, and Embase, and Pubmed databases were searched until December 2020. Two authors abstracted the data independently. Relative risks were derived using random-effects meta-analysis. Results: Of the initially identified 520 782 studies, 65 and 34 observational studies on CKD and HD patients respectively were found reporting AF recurrence rates. During a mean (SD) follow-up of 25.5 (9.8) months, CKD patients have a higher risk of AF recurrence compared to patients without CKD (RR 2.34, 95% CI 1.36-4.02, p&lt;0.01). The heterogenicity test showed there were significant differences between individual studies (I2 = 91.0%, 95% CI 82.2%-95.6%). In a mean (SD) follow-up of 40.332.6 (20.826.8) months, HD patients may be at a higher risk of AF recurrence compared to healthy non-dialysis AF patients (RR 1.501.21, 95% CI 0.64-2.300.84-2.67, p=0.170.55). Heterogeneity analysis showed the studies were heterogeneous (I2 90.1�.3%, 95% CI 77.5%-95.6�.8%-96.9%, p &lt;0.01). Conclusion: Our meta-analysis suggests patients with CKD and on HD are more likely to have AF recurrences compared to AF patients who do not have CKD. However, more robust evidence from randomiszed controlled trials comparing catheter ablation and pharmaceutical rhythm therapy is urgently needed to guide therapy in this difficult to treat population.
DOI: 10.5281/zenodo.6786851
title: Raw EK80 high-frequency echosounder data collected by autonomous sailbuoy in Lofoten/Vesterålen 2018-06-18/2018-06-30

description: Collected "2018-06-18T00:01:09.000Z/2018-06-30T23:01:24.000Z". Please notice there are no data on 19, 22, and 23 June. For vehicle positions, other sensor observations, and additional metadata, please visit:<br> https://doi.org/10.5281/zenodo.6786919
description: Referenced by: Application of the inverse method for density estimates of high latitude epipelagic sound scattering layers using broadband acoustics from autonomous surface vehicles. [Submitted May 25th 2022]
DOI: 10.5281/zenodo.6786850
title: Raw EK80 high-frequency echosounder data collected by autonomous sailbuoy in Lofoten/Vesterålen 2018-06-18/2018-06-30

description: Collected "2018-06-18T00:01:09.000Z/2018-06-30T23:01:24.000Z". Please notice there are no data on 19, 22, and 23 June. For vehicle positions, other sensor observations, and additional metadata, please visit:<br> https://doi.org/10.5281/zenodo.6786919
description: Referenced by: Application of the inverse method for density estimates of high latitude epipelagic sound scattering layers using broadband acoustics from autonomous surface vehicles. [Submitted May 25th 2022]
DOI: 10.5281/zenodo.6819757
title: Agapornis roseicollis zanfona 1

description: .
DOI: 10.5281/zenodo.6819756
title: Agapornis roseicollis zanfona 1

description: .
DOI: 10.5281/zenodo.6820061
title: Microsatellite data set

description: Microsatellite data set for article RADICAL TEMPORAL SHIFT IN THE GENETIC COMPOSITION OF NEW ENGLAND CHICORY POPULATIONS published in Journal of Ecology.
DOI: 10.5281/zenodo.6820060
title: Microsatellite data set

description: Microsatellite data set for article RADICAL TEMPORAL SHIFT IN THE GENETIC COMPOSITION OF NEW ENGLAND CHICORY POPULATIONS published in Journal of Ecology.