cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc257h42
title: CCDC 2003193: Experimental Crystal Structure Determination

description: Related Article: Lei Mei, Shu‐wen An, Kong‐qiu Hu, Lin Wang, Ji‐pan Yu, Zhi‐wei Huang, Xiang‐he Kong, Chuan‐qin Xia, Zhi‐fang Chai, Wei‐qun Shi|2020|Angew.Chem.,Int.Ed.|59|16061|doi:10.1002/anie.202003808
DOI: 10.5517/ccdc.csd.cc257h53
title: CCDC 2003194: Experimental Crystal Structure Determination

description: Related Article: Lei Mei, Shu‐wen An, Kong‐qiu Hu, Lin Wang, Ji‐pan Yu, Zhi‐wei Huang, Xiang‐he Kong, Chuan‐qin Xia, Zhi‐fang Chai, Wei‐qun Shi|2020|Angew.Chem.,Int.Ed.|59|16061|doi:10.1002/anie.202003808
DOI: 10.5517/ccdc.csd.cc257h64
title: CCDC 2003195: Experimental Crystal Structure Determination

description: Related Article: Lei Mei, Shu‐wen An, Kong‐qiu Hu, Lin Wang, Ji‐pan Yu, Zhi‐wei Huang, Xiang‐he Kong, Chuan‐qin Xia, Zhi‐fang Chai, Wei‐qun Shi|2020|Angew.Chem.,Int.Ed.|59|16061|doi:10.1002/anie.202003808
DOI: 10.5517/ccdc.csd.cc257h75
title: CCDC 2003196: Experimental Crystal Structure Determination

description: Related Article: Lei Mei, Shu‐wen An, Kong‐qiu Hu, Lin Wang, Ji‐pan Yu, Zhi‐wei Huang, Xiang‐he Kong, Chuan‐qin Xia, Zhi‐fang Chai, Wei‐qun Shi|2020|Angew.Chem.,Int.Ed.|59|16061|doi:10.1002/anie.202003808
DOI: 10.5517/ccdc.csd.cc257h86
title: CCDC 2003197: Experimental Crystal Structure Determination

description: Related Article: Lei Mei, Shu‐wen An, Kong‐qiu Hu, Lin Wang, Ji‐pan Yu, Zhi‐wei Huang, Xiang‐he Kong, Chuan‐qin Xia, Zhi‐fang Chai, Wei‐qun Shi|2020|Angew.Chem.,Int.Ed.|59|16061|doi:10.1002/anie.202003808
DOI: 10.5517/ccdc.csd.cc257h97
title: CCDC 2003198: Experimental Crystal Structure Determination

description: Related Article: Lei Mei, Shu‐wen An, Kong‐qiu Hu, Lin Wang, Ji‐pan Yu, Zhi‐wei Huang, Xiang‐he Kong, Chuan‐qin Xia, Zhi‐fang Chai, Wei‐qun Shi|2020|Angew.Chem.,Int.Ed.|59|16061|doi:10.1002/anie.202003808
DOI: 10.5517/ccdc.csd.cc257hb8
title: CCDC 2003199: Experimental Crystal Structure Determination

description: Related Article: Lei Mei, Shu‐wen An, Kong‐qiu Hu, Lin Wang, Ji‐pan Yu, Zhi‐wei Huang, Xiang‐he Kong, Chuan‐qin Xia, Zhi‐fang Chai, Wei‐qun Shi|2020|Angew.Chem.,Int.Ed.|59|16061|doi:10.1002/anie.202003808
DOI: 10.5517/ccdc.csd.cc257hc9
title: CCDC 2003200: Experimental Crystal Structure Determination

description: Related Article: Lei Mei, Shu‐wen An, Kong‐qiu Hu, Lin Wang, Ji‐pan Yu, Zhi‐wei Huang, Xiang‐he Kong, Chuan‐qin Xia, Zhi‐fang Chai, Wei‐qun Shi|2020|Angew.Chem.,Int.Ed.|59|16061|doi:10.1002/anie.202003808
DOI: 10.5517/ccdc.csd.cc257hdb
title: CCDC 2003201: Experimental Crystal Structure Determination

description: Related Article: Lei Mei, Shu‐wen An, Kong‐qiu Hu, Lin Wang, Ji‐pan Yu, Zhi‐wei Huang, Xiang‐he Kong, Chuan‐qin Xia, Zhi‐fang Chai, Wei‐qun Shi|2020|Angew.Chem.,Int.Ed.|59|16061|doi:10.1002/anie.202003808
DOI: 10.5517/ccdc.csd.cc24rz85
title: CCDC 1989247: Experimental Crystal Structure Determination

description: Related Article: Lei Mei, Shu‐wen An, Kong‐qiu Hu, Lin Wang, Ji‐pan Yu, Zhi‐wei Huang, Xiang‐he Kong, Chuan‐qin Xia, Zhi‐fang Chai, Wei‐qun Shi|2020|Angew.Chem.,Int.Ed.|59|16061|doi:10.1002/anie.202003808
DOI: 10.5517/ccdc.csd.cc25kvwh
title: CCDC 2013167: Experimental Crystal Structure Determination

description: Related Article: Julius Hillenbrand, Markus Leutzsch, Christopher P. Gordon, Christophe Copéret, Alois Fürstner|2020|Angew.Chem.,Int.Ed.|59|21758|doi:10.1002/anie.202009975
DOI: 10.5517/ccdc.csd.cc25kvxj
title: CCDC 2013168: Experimental Crystal Structure Determination

description: Related Article: Julius Hillenbrand, Markus Leutzsch, Christopher P. Gordon, Christophe Copéret, Alois Fürstner|2020|Angew.Chem.,Int.Ed.|59|21758|doi:10.1002/anie.202009975
DOI: 10.5517/ccdc.csd.cc25kvyk
title: CCDC 2013169: Experimental Crystal Structure Determination

description: Related Article: Julius Hillenbrand, Markus Leutzsch, Christopher P. Gordon, Christophe Copéret, Alois Fürstner|2020|Angew.Chem.,Int.Ed.|59|21758|doi:10.1002/anie.202009975
DOI: 10.5517/ccdc.csd.cc25kvzl
title: CCDC 2013170: Experimental Crystal Structure Determination

description: Related Article: Julius Hillenbrand, Markus Leutzsch, Christopher P. Gordon, Christophe Copéret, Alois Fürstner|2020|Angew.Chem.,Int.Ed.|59|21758|doi:10.1002/anie.202009975
DOI: 10.5517/ccdc.csd.cc25kw0n
title: CCDC 2013171: Experimental Crystal Structure Determination

description: Related Article: Julius Hillenbrand, Markus Leutzsch, Christopher P. Gordon, Christophe Copéret, Alois Fürstner|2020|Angew.Chem.,Int.Ed.|59|21758|doi:10.1002/anie.202009975
DOI: 10.5517/ccdc.csd.cc25kw1p
title: CCDC 2013172: Experimental Crystal Structure Determination

description: Related Article: Julius Hillenbrand, Markus Leutzsch, Christopher P. Gordon, Christophe Copéret, Alois Fürstner|2020|Angew.Chem.,Int.Ed.|59|21758|doi:10.1002/anie.202009975
DOI: 10.5285/52a8fa88-cd54-4168-b43f-9a4363d0b032
title: Superficial Aquifer Productivity Scotland version 2

description: The Superficial Aquifer Productivity Scotland dataset forms part of the BGS Hydrogeological Maps of Scotland data product.  This product is comprised of three datasets: Bedrock Aquifer Productivity Scotland; Superficial Aquifer Productivity Scotland; and Groundwater Vulnerability Scotland.
Aquifer productivity is a measure of the potential of aquifers to sustain a borehole water supply. The Superficial Aquifer Productivity Scotland dataset version 2 (2015) indicates the location and productivity of superficial aquifers across Scotland, and their groundwater flow characteristics. 
Developed as a tool to support groundwater resource management, the dataset provides a guide to aquifer characteristics at a regional scale, and may be useful to anyone interested in learning more about, assessing or managing groundwater resources across Scotland. 
The dataset is delivered at 1: 100 000 scale;  the resolution of the dataset being 50 m and the smallest detectable feature 100 m.
DOI: 10.5517/ccdc.csd.cc25mcv1
title: CCDC 2014623: Experimental Crystal Structure Determination

description: Related Article: Julius Hillenbrand, Markus Leutzsch, Christopher P. Gordon, Christophe Copéret, Alois Fürstner|2020|Angew.Chem.,Int.Ed.|59|21758|doi:10.1002/anie.202009975
DOI: 10.5517/ccdc.csd.cc25p704
title: CCDC 2016395: Experimental Crystal Structure Determination

description: Related Article: Jia Wang|2020|CSD Communication|||
description: Related Article: Jia Wang, Tie Zhang, Zhi-Xu Zhang, Chang-Yuan Su, Yi Zhang, Da-Wei Fu|2020|Inorg.Chem.|59|16635|doi:10.1021/acs.inorgchem.0c02558
DOI: 10.5517/ccdc.csd.cc25qyzv
title: CCDC 2018068: Experimental Crystal Structure Determination

description: Related Article: Chongwei Zhu, Kazutaka Shoyama, Frank Würthner|2020|Angew.Chem.,Int.Ed.|59|21505|doi:10.1002/anie.202010077
DOI: 10.5517/ccdc.csd.cc25qz0x
title: CCDC 2018069: Experimental Crystal Structure Determination

description: Related Article: Chongwei Zhu, Kazutaka Shoyama, Frank Würthner|2020|Angew.Chem.,Int.Ed.|59|21505|doi:10.1002/anie.202010077
DOI: 10.5517/ccdc.csd.cc25qz1y
title: CCDC 2018070: Experimental Crystal Structure Determination

description: Related Article: Chongwei Zhu, Kazutaka Shoyama, Frank Würthner|2020|Angew.Chem.,Int.Ed.|59|21505|doi:10.1002/anie.202010077
DOI: 10.5517/ccdc.csd.cc25qz2z
title: CCDC 2018071: Experimental Crystal Structure Determination

description: Related Article: Chongwei Zhu, Kazutaka Shoyama, Frank Würthner|2020|Angew.Chem.,Int.Ed.|59|21505|doi:10.1002/anie.202010077
DOI: 10.5285/95759d72-eae9-4b2b-a9ee-589b00a505b2
title: Groundwater Vulnerability Scotland version 2

description: The Groundwater Vulnerability Scotland dataset forms part of the BGS Hydrogeological Maps of Scotland data product.  This product is comprised of three datasets: Bedrock Aquifer Productivity Scotland; Superficial Aquifer Productivity (Scotland); and Groundwater Vulnerability Scotland.
The Groundwater Vulnerability Scotland version 2 (2015) dataset shows the relative vulnerability of groundwater to contamination across Scotland.  Groundwater vulnerability is the tendency and likelihood for general contaminants to move vertically through the unsaturated zone and reach the uppermost water table after introduction at the ground surface. 
The groundwater vulnerability dataset was developed as a screening tool to support groundwater management at a regional scale across Scotland, and specifically to aid groundwater risk assessment. The data can be used to show the relative threat to groundwater quality from contamination, by highlighting areas at comparatively higher risk of groundwater contamination. 
The dataset is delivered at 1: 100 000 scale; the resolution of the dataset being 50m and the smallest detectable feature 100 m.
DOI: 10.6084/m9.figshare.13285934
title: nasbench301_full_data

description: The dataset used for training surrogate models in the paper "NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search", including final performance as well as the training logs of neural architectures from the DARTS search space for learning curves on the train, validation and test sets of CIFAR-10.
DOI: 10.6084/m9.figshare.13285934.v1
title: nasbench301_full_data

description: The dataset used for training surrogate models in the paper "NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search", including final performance as well as the training logs of neural architectures from the DARTS search space for learning curves on the train, validation and test sets of CIFAR-10.
DOI: 10.5441/001/1.k6b630mv/1
title: Cheetah Pilanesberg National Park, South Africa, 2014-2015

description: Power RJ, Van der Merwe V, Page-Nicholson S, Botha M-V, Dell S, Nel HP. 2019. A note on the reestablishment of the cheetah population in the Pilanesberg National Park, South Africa. Afr. J. Wildl. Res. 49(1):12-15. doi:10.3957/056.049.0012
description: The establishment of protected areas is recognized as a means to conserve large mammal species, and cheetah (Acinonyx jubatus) conservation is well served by these protected areas. The Pilanesberg National Park (Pilanesberg) is one such reserve within the managed metapopulation. Here, we firstly document the reproductive success of a single reintroduced female cheetah and, secondly, discuss the population's recovery in the context of the managed metapopulation. In April 2014, Pilanesberg had three adult cheetahs; the newly reintroduced female and the coalition of two adult males. The focal study animal was this adult female that was initially held in a boma at Madikwe Game Reserve for ∼3 months and ‘hard released’ into Pilanesberg with a fitted satellite collar. She was monitored by the first and fifth authors on a daily and monthly basis by satellite and radio-telemetry, respectively; while all cheetahs were also monitored by opportunistic observations by tourists and guides.
DOI: 10.5441/001/1.k6b630mv/2
title: Cheetah Pilanesberg National Park, South Africa, 2014-2015-reference-data

description: Power RJ, Van der Merwe V, Page-Nicholson S, Botha M-V, Dell S, Nel HP. 2019. A note on the reestablishment of the cheetah population in the Pilanesberg National Park, South Africa. Afr. J. Wildl. Res. 49(1):12-15. doi:10.3957/056.049.0012
description: The establishment of protected areas is recognized as a means to conserve large mammal species, and cheetah (Acinonyx jubatus) conservation is well served by these protected areas. The Pilanesberg National Park (Pilanesberg) is one such reserve within the managed metapopulation. Here, we firstly document the reproductive success of a single reintroduced female cheetah and, secondly, discuss the population's recovery in the context of the managed metapopulation. In April 2014, Pilanesberg had three adult cheetahs; the newly reintroduced female and the coalition of two adult males. The focal study animal was this adult female that was initially held in a boma at Madikwe Game Reserve for ∼3 months and ‘hard released’ into Pilanesberg with a fitted satellite collar. She was monitored by the first and fifth authors on a daily and monthly basis by satellite and radio-telemetry, respectively; while all cheetahs were also monitored by opportunistic observations by tourists and guides.
DOI: 10.5281/zenodo.4017367
title: Dataset related to article: "Quantitative assessment of the quality of home sleep studies: A computer‐assisted approach"

description: Abstract Home monitoring is the most practical means of collecting sleep data in large-scale research investigations. Because the portion of recording time with poor-quality data is higher than in attended polysomnography, a quantitative assessment of the quality of each signal should be recommended. Currently, only qualitative or semi-quantitative assessments are carried out, likely because of the lack of computer-based applications to carry out this task efficiently. This paper presents an innovative computer-assisted procedure designed to perform a quantitative quality assessment of standard respiratory signals recorded by Type 2 and Type 3 portable sleep monitors. The proposed system allows to assess the quality (good versus bad) of consecutive 1-min segments of thoraco-abdominal movements, oronasal, nasal airflow and oxygen saturation through an automatic classifier. The performance of the classifier was evaluated in a sample of 30 unattended polysomnography recordings, comparing the computer output with the consensus of two expert scorers. The difference (computer versus scorers) in the percentage of good-quality segments was on average very small, ranging from -3.1% (abdominal movements) to 0.8% (nasal flow), with an average total classification accuracy from 90.2 (oronasal flow) to 94.9 (nasal flow), a Sensitivity from 0.93 (oronasal flow) to 0.98 (nasal flow), and a Specificity from 0.74 (nasal flow) to 0.86 (abdominal movements). In practical applications, the scorer can run a check-and-edit procedure, further improving the classification accuracy. Considering a sample of 270 unattended polysomnography recordings (recording time: 545 ± 44 min), the average time taken for the check-and-edit procedure of each recording was 6.9 ± 2.1 min for all respiratory signals.
DOI: 10.5281/zenodo.4017366
title: Dataset related to article: "Quantitative assessment of the quality of home sleep studies: A computer‐assisted approach"

description: Abstract Home monitoring is the most practical means of collecting sleep data in large-scale research investigations. Because the portion of recording time with poor-quality data is higher than in attended polysomnography, a quantitative assessment of the quality of each signal should be recommended. Currently, only qualitative or semi-quantitative assessments are carried out, likely because of the lack of computer-based applications to carry out this task efficiently. This paper presents an innovative computer-assisted procedure designed to perform a quantitative quality assessment of standard respiratory signals recorded by Type 2 and Type 3 portable sleep monitors. The proposed system allows to assess the quality (good versus bad) of consecutive 1-min segments of thoraco-abdominal movements, oronasal, nasal airflow and oxygen saturation through an automatic classifier. The performance of the classifier was evaluated in a sample of 30 unattended polysomnography recordings, comparing the computer output with the consensus of two expert scorers. The difference (computer versus scorers) in the percentage of good-quality segments was on average very small, ranging from -3.1% (abdominal movements) to 0.8% (nasal flow), with an average total classification accuracy from 90.2 (oronasal flow) to 94.9 (nasal flow), a Sensitivity from 0.93 (oronasal flow) to 0.98 (nasal flow), and a Specificity from 0.74 (nasal flow) to 0.86 (abdominal movements). In practical applications, the scorer can run a check-and-edit procedure, further improving the classification accuracy. Considering a sample of 270 unattended polysomnography recordings (recording time: 545 ± 44 min), the average time taken for the check-and-edit procedure of each recording was 6.9 ± 2.1 min for all respiratory signals.
DOI: 10.5519/qd.p09xn397
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (298 records)
DOI: 10.5519/qd.90u6ofz7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (129 records)
DOI: 10.5519/qd.74w7o38b
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (121 records)
DOI: 10.5519/qd.n7vcda6q
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (428 records)
DOI: 10.5281/zenodo.4290149
title: Dataset related to Study: "Age and comorbidity are crucial predictors of mortality in severe obstructive sleep apnoea syndrome".

description: <strong>ABSTRACT</strong>: The prognostic role of comorbidity in patients with severe obstructive sleep apnoea syndrome (OSAS) and their role for risk stratification remain incompletely studied and poorly defined. We studied 1,592 patients with severe OSAS diagnosed by polysomnography. The primary outcome was all-cause mortality. We used Poisson regression to estimate the standardized mortality ratio (SMR), compared with the general population. The association of comorbidities with all-cause mortality was assessed using multivariable Cox regression analysis. Then, we calculated pseudo-R² to measure the proportion of variation explained by the model. Finally, we applied recursive-partitioning analysis to cluster the patients into risk groups according to individual comorbidities. A total of 11,721 person-years of follow-up were examined during which 390 deaths (3.33 deaths/100 person-years) occurred. The median follow-up was 7 (4-10) years. The SMR was 1.47 (1.33-1.63). Age, sex, obesity, cardiovascular diseases (CVD), moderate-to-severe chronic obstructive pulmonary disease (COPD), chronic kidney disease (CKD) and malignancy were independently associated with mortality risk. The model had a C index of 0.811 and explained 63.2% of the variation in mortality risk. Recursive-partitioning analysis allowed distinguishing three clinical phenotypes differentially associated with mortality risk. The combination of CKD with CVDs or with moderate-to-severe COPD conferred the highest risk. The SMR was 2.56 (2.13-3.08) in the high-, 1.59 (1.37-1.85) in the intermediate-, and 0.91 (0.75-1.11) in the low-risk category. Severe OSAS is associated with increased risk for all-cause death. Age and comorbidity are crucial contributors to increased mortality in severe OSAS. Clustering patients according to comorbidities allows identifying clinically meaningful phenotypes.
DOI: 10.5519/qd.d4cc4h5p
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (190 records)
DOI: 10.5281/zenodo.4290148
title: Dataset related to Study: "Age and comorbidity are crucial predictors of mortality in severe obstructive sleep apnoea syndrome".

description: <strong>ABSTRACT</strong>: The prognostic role of comorbidity in patients with severe obstructive sleep apnoea syndrome (OSAS) and their role for risk stratification remain incompletely studied and poorly defined. We studied 1,592 patients with severe OSAS diagnosed by polysomnography. The primary outcome was all-cause mortality. We used Poisson regression to estimate the standardized mortality ratio (SMR), compared with the general population. The association of comorbidities with all-cause mortality was assessed using multivariable Cox regression analysis. Then, we calculated pseudo-R² to measure the proportion of variation explained by the model. Finally, we applied recursive-partitioning analysis to cluster the patients into risk groups according to individual comorbidities. A total of 11,721 person-years of follow-up were examined during which 390 deaths (3.33 deaths/100 person-years) occurred. The median follow-up was 7 (4-10) years. The SMR was 1.47 (1.33-1.63). Age, sex, obesity, cardiovascular diseases (CVD), moderate-to-severe chronic obstructive pulmonary disease (COPD), chronic kidney disease (CKD) and malignancy were independently associated with mortality risk. The model had a C index of 0.811 and explained 63.2% of the variation in mortality risk. Recursive-partitioning analysis allowed distinguishing three clinical phenotypes differentially associated with mortality risk. The combination of CKD with CVDs or with moderate-to-severe COPD conferred the highest risk. The SMR was 2.56 (2.13-3.08) in the high-, 1.59 (1.37-1.85) in the intermediate-, and 0.91 (0.75-1.11) in the low-risk category. Severe OSAS is associated with increased risk for all-cause death. Age and comorbidity are crucial contributors to increased mortality in severe OSAS. Clustering patients according to comorbidities allows identifying clinically meaningful phenotypes.
DOI: 10.5519/qd.prm4n6yx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (188 records)
DOI: 10.6084/m9.figshare.13285988
title: Centros educativos con conexión a Internet por CCAA y tipo de conexión (Porcentajes)

description: La tabla muestra datos comparativos entre comunidades autónomas españolas sobre la conexión a Internet con que cuentan los centros educativos públicos y tipo de conexión para los años 2016-17 y 2018-19
DOI: 10.6084/m9.figshare.13285988.v2
title: Centros educativos con conexión a Internet por CCAA y tipo de conexión (Porcentajes)

description: La tabla muestra datos comparativos entre comunidades autónomas españolas sobre la conexión a Internet con que cuentan los centros educativos públicos y tipo de conexión para los años 2016-17 y 2018-19
DOI: 10.6084/m9.figshare.13285988.v1
title: Centros educativos con conexión a Internet por CCAA y tipo de conexión (Porcentajes)

description: La tabla muestra datos comparativos entre comunidades autónomas españolas sobre la conexión a Internet con que cuentan los centros educativos públicos y tipo de conexión para los años 2016-17 y 2018-19
DOI: 10.5519/qd.gnarop1j
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (766 records)
DOI: 10.48370/ofd/gozjad/m7cmjb
title: MRIPAS_coll_42507_MyotisNattereri_1951_scan.jpg

description: :unav
DOI: 10.6084/m9.figshare.4668160
title: A pilot study. The Norwegian Royal Visit to Moscow in 1998: Selected Photographs from a Private Archive

description: The nine annotated photographs made at the Royal Norwegian visit to Russia in 1998. Pictures from <b>Norwegian-Russian Trade and Investment Seminar</b> arranged by Norwegian Trade Council in Moscow. <br>The paper is in Norwegian.
DOI: 10.6084/m9.figshare.4668160.v3
title: A pilot study. The Norwegian Royal Visit to Moscow in 1998: Selected Photographs from a Private Archive

description: The nine annotated photographs made at the Royal Norwegian visit to Russia in 1998. Pictures from <b>Norwegian-Russian Trade and Investment Seminar</b> arranged by Norwegian Trade Council in Moscow. <br>The paper is in Norwegian.
DOI: 10.6084/m9.figshare.4668160.v2
title: A pilot study. The Norwegian Royal Visit to Moscow in 1998: Selected Photographs from a Private Archive

description: The nine annotated photographs made at the Royal Norwegian visit to Russia in 1998. Pictures from <b>Norwegian-Russian Trade and Investment Seminar</b> arranged by Norwegian Trade Council in Moscow. <br>The paper is in Norwegian.
DOI: 10.5281/zenodo.4290188
title: The role of idealized storms in sand wave formation: A numerical modeling study

description: The typical Delft3D cases for "The role of idealized storms in sand wave formation: A numerical modeling study".
DOI: 10.5281/zenodo.4290187
title: The role of idealized storms in sand wave formation: A numerical modeling study

description: The typical Delft3D cases for "The role of idealized storms in sand wave formation: A numerical modeling study".
DOI: 10.6084/m9.figshare.7326431
title: «Эпоха ювелиров». In Russian with English abstract.

description: Forthcoming <br>
DOI: 10.6084/m9.figshare.7326431.v3
title: «Эпоха ювелиров». In Russian with English abstract.

description: Forthcoming <br>
DOI: 10.6084/m9.figshare.7326431.v2
title: «Эпоха ювелиров». In Russian with English abstract.

description: Forthcoming <br>