cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/d06aeedf63f5e0cf71669679ffd5df01
title: Peeking under the canopy: anomalously short fire-return intervals alter subalpine forest understory plant communities

description: Changing climate and fire regimes are profoundly affecting temperate coniferous forests, driving greatly reduced tree cover postfire. However, whether similar changes are present in the understory of these forests remains less well-understood. We sampled understory plant communities in 20 plot pairs across Greater Yellowstone (Wyoming, USA) in July and August 2021, with each including one plot burned at short (&lt;30 year) fire-return interval and one plot burned in the same most recent fire but not burned previously for &gt;125 years. We also included 11 plot pairs meeting our definition of short- and long-interval fire that were sampled 12 years after the 1988 Yellowstone fires in summer 2000. We also used previously collected published and unpublished data to compare understory communities following recent (2016) short-interval fires to those following the previous long-interval fire in the same general area. In each plot, percent cover of understory plant species was estimated in 0.25-m2 quadrats, and species richness determined via a whole-plot sweep. Understory plant community cover, richness, and diversity did not differ by interval class, but species able to persist in drier conditions and in lower vegetation zones became more abundant following shot interval fire. Further, previously distinct understory communities following long-interval fire in two regions of Greater Yellowstone became slightly more similar following recent short-interval fire. Dissimilarity between plot pairs increased with greater historical snowfall and decreased with time since fire and postfire winter snowfall. These changes to understory plant communities may continue with ongoing shifts in climate and fire across temperate and boreal forests.
DOI: 10.5517/ccdc.csd.cc2bsfxh
title: CCDC 2168447: Experimental Crystal Structure Determination

description: Related Article: K.R. Soumya, Moon Kedia, Malaichamy Sathiyendiran|2023|J.Organomet.Chem.|995|122739|doi:10.1016/j.jorganchem.2023.122739
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: 10.6084/m9.figshare.22671259
title: A synthetic dataset of Danish residential electricity prosumers

description: It is a compressed file containing our dataset in both PYTHON pickle and XLSX formats, which can be found in the data folder. The README file serves as a guide to the contents of the dataset. Additionally, the resources folder contains code for visualization and scenario studies.
DOI: 10.34740/kaggle/dsv/5858866
title: Plos-One paper data set
DOI: 10.6084/m9.figshare.23303612.v1
title: Datasets used in The opposed forces of differentiation and admixture across glacial cycles in the butterfly <em>Aglais urticae</em>

description: Au_filtered_PCA.vcf - used as input for PCA Au_STRUCTURE.str - used as input for STRUCTURE analysis Au_IQTREE.phy - used as input for phylogenetic inference in IQTREE Au_PhyloNetworks.loci - used as input to create gene trees for subsequent use in PhyloNetworks analysis Au_filtered_TreeMix.vcf - used as input for TreeMix analysis Au_TASSEL_western.vcf; Au_TASSEL_eastern.vcf; Au_TASSEL_central.vcf - used as input for genetic diversity analysis in TASSEL
DOI: 10.13020/7vtn-1858
title: Relationships Between Local Governments and Metropolitan Watershed Management Organizations, Twin Cities Metro Area, 1959-2014

description: What happens when a state mandates that local governments in its major metropolis must collaborate at the watershed-scale to manage surface water? I answer this research question by investigating over three decades of intergovernmental dynamics following passage of Minnesota’s 1982 Metropolitan Area Surface Water Management Act, which required local units of government to manage surface waters through collaborative watershed management organizations. This longitudinal network data is a reconstruction from archival materials that shows how 201 local governments organize and re-organize themselves into 54 distinct watershed organizations. The earliest local government relationship in the set dates from 1959 and the latest from 2014, but the longitudinal analysis in the associated paper focuses on the 1975 to 2011 period. The data allow for longitudinal analysis of local government participation in watershed management organizations.
DOI: 10.34740/kaggle/ds/3369447
title: Plos-One paper data set
DOI: 10.5517/ccdc.csd.cc29wlwp
title: CCDC 2141693: Experimental Crystal Structure Determination

description: Related Article: Ying Zou, Wei Lv, Zhe Xue, Jie Pan, Xiao-Yu Li, Guo-Ming Wang|2022|Dalton Trans.|51|16383|doi:10.1039/D2DT02712G
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.7684201
title: Synthetically generated clouds on ground-based solar observations

description: A dataset consisting of Ca II & H-alpha images taken at the Paris Meudon Observatory. Synthetically generated cloud coverage has been applied to clean images, thereby creating an (cloudy, clean) pair--facilitating the training of cloud-removal algorithms. The Ca-II and H-α synthetic dataset comprise respectively 319 and 367 pairs of shadow/shadow-free images, split into 223/96 and 256/111 training/testing pairs. A PyTorch dataset has been created that handles the download, importing, and usage of this dataset. You can find this code at the github repository: https://github.com/jaypmorgan/cloud-removal
DOI: 10.5281/zenodo.7885493
title: Synthetically generated clouds on ground-based solar observations

description: A dataset consisting of Ca II & H-alpha images taken at the Paris Meudon Observatory. Synthetically generated cloud coverage has been applied to clean images, thereby creating an (cloudy, clean) pair--facilitating the training of cloud-removal algorithms. The Ca-II and H-α synthetic dataset comprise respectively 319 and 367 pairs of shadow/shadow-free images, split into 223/96 and 256/111 training/testing pairs. A PyTorch dataset has been created that handles the download, importing, and usage of this dataset. You can find this code at the github repository: https://github.com/jaypmorgan/cloud-removal
DOI: 10.5281/zenodo.7684200
title: Synthetically generated clouds on ground-based solar observations

description: A dataset consisting of Ca II & H-alpha images taken at the Paris Meudon Observatory. Synthetically generated cloud coverage has been applied to clean images, thereby creating an (cloudy, clean) pair--facilitating the training of cloud-removal algorithms. <strong>Data description</strong> The Ca-II and H-α synthetic dataset comprise respectively 319 and 367 pairs of shadow/shadow-free images, split into 223/96 and 256/111 training/testing pairs. Listed here are two zip archives: filament-bounding-boxes.zip -- bounding boxes of filaments that were used to compute the patched metrics. synthetic-clouds.zip -- the cloudy input/clean output images that are used to train machine learning algorithms. A PyTorch dataset has been created that handles the download, importing, and usage of this dataset. You can find this code at the github repository: https://github.com/jaypmorgan/cloud-removal <strong>Pre-processing routines</strong> To generate this set of data, we have applied a series of pre-processing routines. These are: Correct determination of the solar limb (source code can be found at: https://gitlab.lis-lab.fr/presage/solar-limb-detection). Scaling the solar disk to 420 pixels, and centring it at 511.5 pixels in the x and y dimensions. Setting background values outside the solar disk to 0. Normalising the disk intensity values into the range of 0-1.
DOI: 10.5281/zenodo.7885507
title: Synthetically generated clouds on ground-based solar observations

description: A dataset consisting of Ca II & H-alpha images taken at the Paris Meudon Observatory. Synthetically generated cloud coverage has been applied to clean images, thereby creating an (cloudy, clean) pair--facilitating the training of cloud-removal algorithms. <strong>Data description</strong> The Ca-II and H-α synthetic dataset comprise respectively 319 and 367 pairs of shadow/shadow-free images, split into 223/96 and 256/111 training/testing pairs. Listed here are two zip archives: filament-bounding-boxes.zip -- bounding boxes of filaments that were used to compute the patched metrics. synthetic-clouds.zip -- the cloudy input/clean output images that are used to train machine learning algorithms. A PyTorch dataset has been created that handles the download, importing, and usage of this dataset. You can find this code at the github repository: https://github.com/jaypmorgan/cloud-removal <strong>Pre-processing routines</strong> To generate this set of data, we have applied a series of pre-processing routines. These are: Correct determination of the solar limb (source code can be found at: https://gitlab.lis-lab.fr/presage/solar-limb-detection). Scaling the solar disk to 420 pixels, and centring it at 511.5 pixels in the x and y dimensions. Setting background values outside the solar disk to 0. Normalising the disk intensity values into the range of 0-1.
DOI: 10.5281/zenodo.8010703
title: Synthetically generated clouds on ground-based solar observations

description: A dataset consisting of Ca II & H-alpha images taken at the Paris Meudon Observatory. Synthetically generated cloud coverage has been applied to clean images, thereby creating an (cloudy, clean) pair--facilitating the training of cloud-removal algorithms. <strong>Data description</strong> The Ca-II and H-α synthetic dataset comprise respectively 319 and 367 pairs of shadow/shadow-free images, split into 223/96 and 256/111 training/testing pairs. Listed here are two zip archives: filament-bounding-boxes.zip -- bounding boxes of filaments that were used to compute the patched metrics. synthetic-clouds.zip -- the cloudy input/clean output images that are used to train machine learning algorithms. A PyTorch dataset has been created that handles the download, importing, and usage of this dataset. You can find this code at the github repository: https://github.com/jaypmorgan/cloud-removal <strong>Pre-processing routines</strong> To generate this set of data, we have applied a series of pre-processing routines. These are: Correct determination of the solar limb (source code can be found at: https://gitlab.lis-lab.fr/presage/solar-limb-detection). Scaling the solar disk to 420 pixels, and centring it at 511.5 pixels in the x and y dimensions. Setting background values outside the solar disk to 0. Normalising the disk intensity values into the range of 0-1.
DOI: 10.5281/zenodo.8010906
title: IODP Expedition 369 ICP-AES elemental analysis (solids)

description: Elemental contents in hard rock and sediment samples was measured by inductively coupled plasma - atomic emission spectrocopy (ICP-AES). Data are presented by element-wavelength pair (e.g., more than one calcium line may be reported). Elemental lines for which data do not exist for a particular expedition will not appear.
DOI: 10.5281/zenodo.8010905
title: IODP Expedition 369 ICP-AES elemental analysis (solids)

description: Elemental contents in hard rock and sediment samples was measured by inductively coupled plasma - atomic emission spectrocopy (ICP-AES). Data are presented by element-wavelength pair (e.g., more than one calcium line may be reported). Elemental lines for which data do not exist for a particular expedition will not appear.
DOI: 10.5517/ccdc.csd.cc2cyw4c
title: CCDC 2203453: Experimental Crystal Structure Determination

description: Related Article: Shuqi Chen|2023|CSD Communication|||
description: Related Article: Shuqi Chen, Shishi Feng, Albert J. Markvoort, Cankun Zhang, Enyang Zhou, WanZhen Liang, Hui-Jun Zhang, Yun-Bao Jiang, Jianbin Lin|2023|Angew.Chem.,Int.Ed.|62|e202300786|doi:10.1002/anie.202300786
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: 10.6073/pasta/baa3cda00a8320c9c20bc461d4408bc5
title: Monthly measurement summaries from Lake Fryxell Meteorological Station (FRLM), McMurdo Dry Valleys, Antarctica (1993-2022, ongoing)

description: As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This data package contains monthly measurement summaries derived from 15-minute data generated by the Lake Fryxell Meteorological Station (FRLM), located in Taylor Valley. BOYM was established in 1993, during the 93/94 field season.
DOI: 10.5281/zenodo.8010792
title: Pharmacokinetic dataset of a randomized controlled trial investigating the efficacy and safety of intravenous imatinib mesylate (Impentri®) in subjects with acute respiratory distress syndrome induced by COVID-19

description: Abstract Background The coronavirus disease 2019 (COVID-19) pandemic has led to a disruptive increase in the number of intensive care unit (ICU) admissions with acute respiratory distress syndrome (ARDS). ARDS is a severe, life-threatening medical condition characterized by widespread inflammation and vascular leak in the lungs. Although there is no proven therapy to reduce pulmonary vascular leak in ARDS, recent studies demonstrated that the tyrosine kinase inhibitor imatinib reinforces the endothelial barrier and prevents vascular leak in inflammatory conditions, while leaving the immune response intact. Methods This is a randomized, double-blind, parallel-group, placebo-controlled, multicenter clinical trial of intravenous (IV) imatinib mesylate in 90 mechanically ventilated subjects with COVID-19-induced ARDS. Subjects are 18 years or older, admitted to the ICU for mechanical ventilation, meeting the Berlin criteria for moderate-severe ARDS with a positive polymerase chain reaction test for SARS-CoV2. Participants will be randomized in a 1:1 ratio to either imatinib (as mesylate) 200 mg bis in die (b.i.d.) or placebo IV infusion for 7 days, or until ICU discharge or death. The primary study outcome is the change in Extravascular Lung Water Index (EVLWi) between day 1 and day 4. Secondary outcome parameters include changes in oxygenation and ventilation parameters, duration of invasive mechanical ventilation, number of ventilator-free days during the 28-day study period, length of ICU stay, and mortality during 28 days after randomization. Additional secondary parameters include safety, tolerability, and pharmacokinetics. Discussion The current study aims to investigate the efficacy and safety of IV imatinib in mechanically ventilated subjects with COVID-19-related ARDS. We hypothesize that imatinib decreases pulmonary edema, as measured by extravascular lung water using a PiCCO catheter. The reduction in pulmonary edema may reverse hypoxemic respiratory failure and hasten recovery. As pulmonary edema is an important contributor to ARDS, we further hypothesize that imatinib reduces disease severity, reflected by a reduction in 28-day mortality, duration of mechanical ventilation, and ICU length of stay.
DOI: 10.7298/rvr0-xn48
title: Data from: A Guide to the American Community Survey (ACS) for the Rural Researcher: Unpacking the Conceptual and Technical Aspects of Using Secondary Data for Rural Research
DOI: 10.5281/zenodo.8010791
title: Pharmacokinetic dataset of a randomized controlled trial investigating the efficacy and safety of intravenous imatinib mesylate (Impentri®) in subjects with acute respiratory distress syndrome induced by COVID-19

description: Abstract Background The coronavirus disease 2019 (COVID-19) pandemic has led to a disruptive increase in the number of intensive care unit (ICU) admissions with acute respiratory distress syndrome (ARDS). ARDS is a severe, life-threatening medical condition characterized by widespread inflammation and vascular leak in the lungs. Although there is no proven therapy to reduce pulmonary vascular leak in ARDS, recent studies demonstrated that the tyrosine kinase inhibitor imatinib reinforces the endothelial barrier and prevents vascular leak in inflammatory conditions, while leaving the immune response intact. Methods This is a randomized, double-blind, parallel-group, placebo-controlled, multicenter clinical trial of intravenous (IV) imatinib mesylate in 90 mechanically ventilated subjects with COVID-19-induced ARDS. Subjects are 18 years or older, admitted to the ICU for mechanical ventilation, meeting the Berlin criteria for moderate-severe ARDS with a positive polymerase chain reaction test for SARS-CoV2. Participants will be randomized in a 1:1 ratio to either imatinib (as mesylate) 200 mg bis in die (b.i.d.) or placebo IV infusion for 7 days, or until ICU discharge or death. The primary study outcome is the change in Extravascular Lung Water Index (EVLWi) between day 1 and day 4. Secondary outcome parameters include changes in oxygenation and ventilation parameters, duration of invasive mechanical ventilation, number of ventilator-free days during the 28-day study period, length of ICU stay, and mortality during 28 days after randomization. Additional secondary parameters include safety, tolerability, and pharmacokinetics. Discussion The current study aims to investigate the efficacy and safety of IV imatinib in mechanically ventilated subjects with COVID-19-related ARDS. We hypothesize that imatinib decreases pulmonary edema, as measured by extravascular lung water using a PiCCO catheter. The reduction in pulmonary edema may reverse hypoxemic respiratory failure and hasten recovery. As pulmonary edema is an important contributor to ARDS, we further hypothesize that imatinib reduces disease severity, reflected by a reduction in 28-day mortality, duration of mechanical ventilation, and ICU length of stay.
DOI: 10.5517/ccdc.csd.cc2dp8w8
title: CCDC 2224990: Experimental Crystal Structure Determination

description: Related Article: Yao Li, Jun Zhang, Mengyao She, Lang Liu, Zheng Yang, Ping Liu, Shengyong Zhang, Jianli Li|2023|Green Chemistry|25|4302|doi:10.1039/D3GC00664F
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.cc2dp8zc
title: CCDC 2224993: Experimental Crystal Structure Determination

description: Related Article: Yao Li, Jun Zhang, Mengyao She, Lang Liu, Zheng Yang, Ping Liu, Shengyong Zhang, Jianli Li|2023|Green Chemistry|25|4302|doi:10.1039/D3GC00664F
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.cc2dp92h
title: CCDC 2224996: Experimental Crystal Structure Determination

description: Related Article: Yao Li, Jun Zhang, Mengyao She, Lang Liu, Zheng Yang, Ping Liu, Shengyong Zhang, Jianli Li|2023|Green Chemistry|25|4302|doi:10.1039/D3GC00664F
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.cc2dy68v
title: CCDC 2232597: Experimental Crystal Structure Determination

description: Related Article: Harindu Rajapaksha, Logan J. Augustine, Sara E. Mason, Tori Z. Forbes|2023|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: 10.6084/m9.figshare.23303726
title: INFOGRAMA ASSSINADO PELO GOV.BR: ARQUIVO HISTÓRICO, DOCUMENTOSCOPIA, INDEXAÇÃO.pdf

description: O gráfico apresentado exibe assuntos mais contextualizados sobre autores mais citados, palvra-chave e suas referências para melhor entedimento e facilitação da pesquisa do assunto do interessado.
DOI: 10.3886/e185944v2
title: ECIN Replication Package for "U.S. Shale Oil Production and Trend Estimation: Forecasting a Hubbert Model"

description: Scarcity and growth analyses about energy include forecasting extraction rates of non-renewable resources while taking into account technological progression. One mechanism, Moore’s (1965) Law of technological improvement, encompasses experience enhanced steady cost reductions. Alternatively, synthesis technological change refers to unforeseen innovative breakthroughs. These trends relate to the Hubbert (1956 & 1962) Curve of U.S shale oil extraction in the U.S. Lower 48 contiguous states. Price effects, drilling rigs and the price-to-drilling rig relationship are analyzed. Results show we are at peak U.S. shale oil, and could experience comprehensive decline. This implies Catton’s (1982) “Age of Exuberance,” and “Carrying Capacity” drawdown.
description: fluid quantity Barrels of oil
description: Presence of Common Scales: Barrels of oil
description: United States Geology. Smallest Geographic Unit: United states Lower 48
description: web scraping; From Government and Private Sources
DOI: 10.3886/e185944
title: ECIN Replication Package for "U.S. Shale Oil Production and Trend Estimation: Forecasting a Hubbert Model"

description: Scarcity and growth analyses about energy include forecasting extraction rates of non-renewable resources while taking into account technological progression. One mechanism, Moore’s (1965) Law of technological improvement, encompasses experience enhanced steady cost reductions. Alternatively, synthesis technological change refers to unforeseen innovative breakthroughs. These trends relate to the Hubbert (1956 & 1962) Curve of U.S shale oil extraction in the U.S. Lower 48 contiguous states. Price effects, drilling rigs and the price-to-drilling rig relationship are analyzed. Results show we are at peak U.S. shale oil, and could experience comprehensive decline. This implies Catton’s (1982) “Age of Exuberance,” and “Carrying Capacity” drawdown.
description: fluid quantity Barrels of oil
description: Presence of Common Scales: Barrels of oil
description: United States Geology. Smallest Geographic Unit: United states Lower 48
description: web scraping; From Government and Private Sources