cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5227518
title: Low coverage Cnidaria sequencing GENEWIZ_2021_08_20

description: These samples were submitted for sequencing but there wasn't adequate DNA available for full coverage: Samples are named by taxid as follows: (two files each, forward and reverse). 168719 - Carybdea xaymacana 2835545 - Manania auricula 645345 - Atolla wyvillei 880221 - Periphylla periphylla
DOI: 10.5066/p9azohqu
title: Coastwide Reference Monitoring System (CRMS) 2018 land-water classification data

description: Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2018 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification. Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Four previous assessments have been conducted (2005, 2008, 2012, and 2015/2016). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.
DOI: 10.5281/zenodo.5227547
title: Supplementary data for "Are elevated moist layers a blind spot for hyperspectral infrared sounders? - A model study"

description: This is the base data for the retrieval of water vapor, temperature and surface temperature based on forward simulated IASI measurements in the spectral bands between 1190-1400 and 645-800 cm-1, as well as 5 channels in the atmospheric window between 901.5 and 1115.75 cm-1. The data includes 1599 atmospheric states over tropical ocean regions, which is a subset of the ECMWF IFS diverse profile database with focus on a broad sampling of humidity states, published by Eresmaa et al. (2014). The full dataset is also available as part of the ARTS (Atmospheric Radiative Transfer Simulator) XML database (https://radiativetransfer.org/tools/). The data also includes the forward modelled spectra in units of brightness temperatures and the associated spectral frequency grid. ARTS is used as the forward model (https://radiativetransfer.org). This dataset is supplementary to the article "Are elevated moist layers a blind spot for hyperspectral infrared sounders? - A model study" that has been submitted to Atmospheric Measurement Techniques (AMT).
description: {"references": ["Eresmaa, R. and McNally, A.: Diverse profile datasets from the ECMWF 137-level short-range forecasts,\u00a0https://doi.org/10.13140/2.1.4476.8963, 2014."]}
DOI: 10.5281/zenodo.4501183
title: Supplementary data for "Are elevated moist layers a blind spot for hyperspectral infrared sounders? - A model study"

description: This is the base data for the retrieval of water vapor, temperature and surface temperature based on forward simulated IASI measurements in the spectral bands between 1190-1400 and 645-800 cm-1, as well as 5 channels in the atmospheric window between 901.5 and 1115.75 cm-1. The data includes 1599 atmospheric states over tropical ocean regions, which is a subset of the ECMWF IFS diverse profile database with focus on a broad sampling of humidity states, published by Eresmaa et al. (2014). The full dataset is also available as part of the ARTS (Atmospheric Radiative Transfer Simulator) XML database (https://radiativetransfer.org/tools/). The data also includes the forward modelled spectra in units of brightness temperatures and the associated spectral frequency grid. ARTS is used as the forward model (https://radiativetransfer.org). This dataset is supplementary to the article "Are elevated moist layers a blind spot for hyperspectral infrared sounders? - A model study" that has been submitted to Atmospheric Measurement Techniques (AMT).
description: {"references": ["Eresmaa, R. and McNally, A.: Diverse profile datasets from the ECMWF 137-level short-range forecasts,\u00a0https://doi.org/10.13140/2.1.4476.8963, 2014."]}
DOI: 10.6084/m9.figshare.15111579.v1
title: Source apportionment of PM<sub>2.5</sub> at IMPROVE monitoring sites within and outside of marine vessel fuel sulfur emissions control areas

description: Fuel sulfur emissions control areas have been established in a few marine coastal regions to reduce environmental impacts from combustion of high sulfur residual fuel oil (RFO). For example, in August of 2012, the U.S. began enforcing fuel sulfur limits on certain large commercial marine vessels up to 200 nautical miles (nm) of its coasts as part of a North American Emissions Control Area (NA-ECA), and in January of 2014, the U.S. began enforcing fuel sulfur limits on these vessels within up to 50 nm of Puerto Rico and the U.S. Virgin Islands as part of the U.S. Caribbean Sea ECA (USCAR-ECA). This work evaluates ECA effectiveness at reducing PM<sub>2.5</sub> from combustion of RFO by using both spatial analysis, comparing PM<sub>2.5</sub> source apportionment at IMPROVE monitoring sites largely impacted by air from either inside or outside of an ECA, along with temporal analysis, comparing RFO combustion impacts pre and post ECA enforcement at sites largely impacted by air from inside an ECA. Source apportionment was performed using Positive Matrix Factorization (PMF) on chemically speciated PM<sub>2.5</sub> data from 2009 to 2018. Results for 7 coastal U.S. IMPROVE sites influenced by marine air masses within the NA-ECA showed an annual mean reduction of PM<sub>2.5</sub> from RFO combustion of 79.0% (range, 60.2% to 91.5%) when comparing impacts from the pre-ECA (RFO average 2.7% S) period of 2009–2011 to the ECA 0.1% fuel S period of 2015–2018. In contrast, the Virgin Islands, Big Bend, and Baengnyeong Island South Korea IMPROVE sites were impacted by RFO combustion and were largely or wholly influenced by air masses from outside of an emissions control area. These sites saw a statistically significant 14.0% increase, a 21.0% decrease, or no statistically significant change, respectively, when comparing time periods pre and post ECA enforcement. <i>Implications</i>: This study performs source apportionment on PM<sub>2.5</sub> monitoring data to identify 10 sites impacted by residual fuel oil combustion, mainly from marine vessel fuel use. The paper then evaluates the effects of enforcement of marine vessel fuel sulfur emissions control areas at reducing ambient impacts of this source on PM<sub>2.5</sub>. This study uses both temporal analysis of the source apportionment results, comparing source impacts before and after enforcement of marine vessel fuel sulfur emissions control areas, and spatial analysis, comparing source impacts between sites largely impacted or not impacted by airmasses originating inside of marine vessel fuel sulfur emissions control areas.
DOI: 10.6084/m9.figshare.15111579
title: Source apportionment of PM<sub>2.5</sub> at IMPROVE monitoring sites within and outside of marine vessel fuel sulfur emissions control areas

description: Fuel sulfur emissions control areas have been established in a few marine coastal regions to reduce environmental impacts from combustion of high sulfur residual fuel oil (RFO). For example, in August of 2012, the U.S. began enforcing fuel sulfur limits on certain large commercial marine vessels up to 200 nautical miles (nm) of its coasts as part of a North American Emissions Control Area (NA-ECA), and in January of 2014, the U.S. began enforcing fuel sulfur limits on these vessels within up to 50 nm of Puerto Rico and the U.S. Virgin Islands as part of the U.S. Caribbean Sea ECA (USCAR-ECA). This work evaluates ECA effectiveness at reducing PM<sub>2.5</sub> from combustion of RFO by using both spatial analysis, comparing PM<sub>2.5</sub> source apportionment at IMPROVE monitoring sites largely impacted by air from either inside or outside of an ECA, along with temporal analysis, comparing RFO combustion impacts pre and post ECA enforcement at sites largely impacted by air from inside an ECA. Source apportionment was performed using Positive Matrix Factorization (PMF) on chemically speciated PM<sub>2.5</sub> data from 2009 to 2018. Results for 7 coastal U.S. IMPROVE sites influenced by marine air masses within the NA-ECA showed an annual mean reduction of PM<sub>2.5</sub> from RFO combustion of 79.0% (range, 60.2% to 91.5%) when comparing impacts from the pre-ECA (RFO average 2.7% S) period of 2009–2011 to the ECA 0.1% fuel S period of 2015–2018. In contrast, the Virgin Islands, Big Bend, and Baengnyeong Island South Korea IMPROVE sites were impacted by RFO combustion and were largely or wholly influenced by air masses from outside of an emissions control area. These sites saw a statistically significant 14.0% increase, a 21.0% decrease, or no statistically significant change, respectively, when comparing time periods pre and post ECA enforcement. <i>Implications</i>: This study performs source apportionment on PM<sub>2.5</sub> monitoring data to identify 10 sites impacted by residual fuel oil combustion, mainly from marine vessel fuel use. The paper then evaluates the effects of enforcement of marine vessel fuel sulfur emissions control areas at reducing ambient impacts of this source on PM<sub>2.5</sub>. This study uses both temporal analysis of the source apportionment results, comparing source impacts before and after enforcement of marine vessel fuel sulfur emissions control areas, and spatial analysis, comparing source impacts between sites largely impacted or not impacted by airmasses originating inside of marine vessel fuel sulfur emissions control areas.
DOI: 10.15468/aczusy
title: Dragmaxia anomala sp. n. (Demospongiae: Halichondrida) from the southwestern Atlantic (Brazil)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Carvalho, Mariana De S., Hajdu, Eduardo (2004): Dragmaxia anomala sp. n. (Demospongiae: Halichondrida) from the southwestern Atlantic (Brazil). Zootaxa 400 (1): 1-6, DOI: 10.11646/zootaxa.400.1.1, URL: https://biotaxa.org/Zootaxa/article/view/zootaxa.400.1.1
DOI: 10.5522/04/15099408
title: Reinforcement-learning in mood and anxiety disorders: a simulation meta-analysis

description: These are the MCMC or MAP model fits estimated for different models fit to choices made on different synthetic benchmarking tasks in this simulation meta-analysis. From this data, we can estimate a) the best-fitting model to this meta-dataset; b) parameter values from either the best-fitting model, or from models in proportion to their fit to the data (Bayesian Model Averaging). These datasets are .RData files, so can be opened in R, or converted and uploaded into other settings. <br><br>For more details on the project please see the page at osf.io: OSF | Reinforcement-learning in mood and anxiety disorders: a simulation meta-analysis
DOI: 10.5522/04/15099408.v1
title: Reinforcement-learning in mood and anxiety disorders: a simulation meta-analysis

description: These are the MCMC or MAP model fits estimated for different models fit to choices made on different synthetic benchmarking tasks in this simulation meta-analysis. From this data, we can estimate a) the best-fitting model to this meta-dataset; b) parameter values from either the best-fitting model, or from models in proportion to their fit to the data (Bayesian Model Averaging). These datasets are .RData files, so can be opened in R, or converted and uploaded into other settings. <br><br>For more details on the project please see the page at osf.io: OSF | Reinforcement-learning in mood and anxiety disorders: a simulation meta-analysis
DOI: 10.5281/zenodo.5213908
title: Data and Codes for Evaluating and Improving Scale-Awareness of a Convective Parameterization Closure Using Cloud-Resolving Model Simulations of Convection

description: Provide necessary fields averaged over different subdomain sizes from 64 km to 4 km (see 64 to 4 .7z files) processed from the output of CRM simulation of MC3E case (for TWP-ICE case, please get the processed data and associated codes from http://doi.org/10.5281/zenodo.4542461). Also, associated codes for calculation of important fields (like dCAPEls, dCAPEe, Msa and so on) are also provided in code.7z. Please see all "note.txt" files in code.7z to know how to use these codes.
DOI: 10.5281/zenodo.5213907
title: Data and Codes for Evaluating and Improving Scale-Awareness of a Convective Parameterization Closure Using Cloud-Resolving Model Simulations of Convection

description: Provide necessary fields averaged over different subdomain sizes from 64 km to 4 km (see 64 to 4 .7z files) processed from the output of CRM simulation of MC3E case (for TWP-ICE case, please get the processed data and associated codes from http://doi.org/10.5281/zenodo.4542461). Also, associated codes for calculation of important fields (like dCAPEls, dCAPEe, Msa and so on) are also provided in code.7z. Please see all "note.txt" files in code.7z to know how to use these codes.
DOI: 10.5519/qd.mk127h05
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (80 records)
DOI: 10.5517/ccdc.csd.cc23dzzh
title: CCDC 1948907: Experimental Crystal Structure Determination

description: Related Article: Yuanqing Zhao, Mengle Yang, Shuang Rong, Xinming Wang, Huiyuan Ma, Haijun Pang, Lichao Tan, Keqing Gao|2021|J.Electroanal.Chem.|882|115017|doi:10.1016/j.jelechem.2021.115017
DOI: 10.15468/eh2ry4
title: Two new species of the genus Cheiroseius Berlese, 1916 (Ascidae: Mesostigmata) from the Indian Thar Desert

description: This dataset contains the digitized treatments in Plazi based on the original journal article Bhattacharyya, Asit K., Bhattacharyya, Sisir K. (2004): Two new species of the genus Cheiroseius Berlese, 1916 (Ascidae: Mesostigmata) from the Indian Thar Desert. Zootaxa 403 (1): 1-11, DOI: 10.11646/zootaxa.403.1.1, URL: https://biotaxa.org/Zootaxa/article/view/zootaxa.403.1.1
DOI: 10.15468/ra8kz4
title: The third South American species of the genus Pectenobunus Roewer, with a new synonymy for the genus (Opiliones, Eupnoi, Sclerosomatidae, Gagrellinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tourinho-Davis, Ana Lúcia (2004): The third South American species of the genus Pectenobunus Roewer, with a new synonymy for the genus (Opiliones, Eupnoi, Sclerosomatidae, Gagrellinae). Zootaxa 405 (1): 1-16, DOI: 10.11646/zootaxa.405.1.1, URL: https://biotaxa.org/Zootaxa/article/view/zootaxa.405.1.1
DOI: 10.6084/m9.figshare.15832053.v3
title: Medicinal properties of Morus alba for the control of type 2 diabetes mellitus: a systematic review

description: It was based on the PRISMA Declaration. The included studies were extracted from Scopus, Pubmed, ScienceDirect, Scielo, and Google Scholar; January 2015 to July 2021, Key search terms were MeSH and DeCS: <i>Morus alba</i>, mulberry, hypoglycemic agent. The inclusion criteria were: studies in rats administered <i>Morus alba</i> leaf extracts; studies that included the dimensions of lipidemia and glycemia; studies that included indicators such as fasting glucose, postprandial glucose, glycosylated hemoglobin, triglycerides, low-density lipoproteins, total cholesterol, and insulin resistance. Exclusion criteria: studies in which <i>Morus alba</i> leaves were administered with other plants; studies with other parts of the <i>Morus alba</i> plant; proteomic studies, cancer, duplicate studies, in vitro studies, and evaluation of included studies. All included investigations were evaluated for biases. <b>Results:</b> The extracts of <i>Morus alba</i> leaves at the phytochemical level improve glucose uptake. Chlorogenic acid, isoquercitrin, and quercitrin, present in the leaves of <i>Morus alba</i> have hypoglycemic properties and an ameliorating effect on diabetic nephropathy. This leaf has pharmacological effects such as glucose absorption, insulin secretion production, antioxidant and anti-inflammatory
DOI: 10.6084/m9.figshare.15832053
title: Medicinal properties of Morus alba for the control of type 2 diabetes mellitus: a systematic review

description: It was based on the PRISMA Declaration. The included studies were extracted from Scopus, Pubmed, ScienceDirect, Scielo, and Google Scholar; January 2015 to July 2021, Key search terms were MeSH and DeCS: <i>Morus alba</i>, mulberry, hypoglycemic agent. The inclusion criteria were: studies in rats administered <i>Morus alba</i> leaf extracts; studies that included the dimensions of lipidemia and glycemia; studies that included indicators such as fasting glucose, postprandial glucose, glycosylated hemoglobin, triglycerides, low-density lipoproteins, total cholesterol, and insulin resistance. Exclusion criteria: studies in which <i>Morus alba</i> leaves were administered with other plants; studies with other parts of the <i>Morus alba</i> plant; proteomic studies, cancer, duplicate studies, in vitro studies, and evaluation of included studies. All included investigations were evaluated for biases. <b>Results:</b> The extracts of <i>Morus alba</i> leaves at the phytochemical level improve glucose uptake. Chlorogenic acid, isoquercitrin, and quercitrin, present in the leaves of <i>Morus alba</i> have hypoglycemic properties and an ameliorating effect on diabetic nephropathy. This leaf has pharmacological effects such as glucose absorption, insulin secretion production, antioxidant and anti-inflammatory
DOI: 10.15468/qmcqfj
title: Macrobiotus kovalevi, a new species of Tardigrada from New Zealand (Eutadigrada, Macrobiotidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tumanov, D. V. (2004): Macrobiotus kovalevi, a new species of Tardigrada from New Zealand (Eutadigrada, Macrobiotidae). Zootaxa 406 (1): 1-8, DOI: 10.11646/zootaxa.406.1.1, URL: https://biotaxa.org/Zootaxa/article/view/zootaxa.406.1.1
DOI: 10.15468/kb2skv
title: Dermatopelte Erdös & Novicky (Hymenoptera: Eulophidae) newly recorded from the Nearctic region, with description of two new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Burks, Roger A. (2004): Dermatopelte Erdös & Novicky (Hymenoptera: Eulophidae) newly recorded from the Nearctic region, with description of two new species. Zootaxa 407 (407): 1-10, DOI: 10.11646/zootaxa.407.1.1
DOI: 10.5066/p9ccgj0i
title: Channel width measurements for selected streamgage sites in Montana

description: The WY-MT WSC conducted a study to develop regression equations for estimating peak-flow frequencies in Montana, using channel-width characteristics. Channel widths were measured in the field and from aerial photographs. This data release includes three child items: a table of field measurements, a table of measurements from aerial photographs, and a summary table of the data (field measurements and measurements from aerial photographs) used to develop the regression equations.
DOI: 10.5281/zenodo.5227689
title: RPV SUSY dataset for Double DisCo Paper

description: Dataset corresponding to Sect. 4.3 in <em>Phys. Rev. D 103 (2021) 035021 </em>· e-Print: 2007.14400. This dataset was generated with Pythia 8.230 and Delphes 3.4.1; see the paper for further details. The dataset is a Pandas dataframe that can be read in with pandas.read_hf(). The issig column is a flag that is 1 for the RPV SUSY sample and 0 for the QCD background. The other columns are features that can be used to distinguish these two processes and they are described (and plotted - see Fig. 11) in the above paper.
DOI: 10.5281/zenodo.5227688
title: RPV SUSY dataset for Double DisCo Paper

description: Dataset corresponding to Sect. 4.3 in <em>Phys. Rev. D 103 (2021) 035021 </em>· e-Print: 2007.14400. This dataset was generated with Pythia 8.230 and Delphes 3.4.1; see the paper for further details. The dataset is a Pandas dataframe that can be read in with pandas.read_hf(). The issig column is a flag that is 1 for the RPV SUSY sample and 0 for the QCD background. The other columns are features that can be used to distinguish these two processes and they are described (and plotted - see Fig. 11) in the above paper.
DOI: 10.15468/z8j7n4
title: The description of Preseucoela Buffington, new genus, with notes on the status of Nearctic species of Agrostocynips Diaz (Hymenoptera: Figitidae: Eucoilinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Buffington, Matthew L. (2004): The description of Preseucoela Buffington, new genus, with notes on the status of Nearctic species of Agrostocynips Diaz (Hymenoptera: Figitidae: Eucoilinae). Zootaxa 408 (1): 1-11, DOI: 10.11646/zootaxa.408.1.1, URL: https://biotaxa.org/Zootaxa/article/view/zootaxa.408.1.1
DOI: 10.15468/txz3my
title: The identity of the invasive fouling bryozoan Watersipora subtorquata (d’Orbigny) and some other congeneric species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Vieira, Leandro M., Jones, Mary Spencer, Taylor, Paul D. (2014): The identity of the invasive fouling bryozoan Watersipora subtorquata (d’Orbigny) and some other congeneric species. Zootaxa 3857 (2): 151-182, DOI: http://dx.doi.org/10.11646/zootaxa.3857.2.1