cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9ng1qsq
title: Data associated with the investigation of suitable habitat for the endangered plant Harperella (Ptilimnium nodosum Rose) in the Potomac River near Hancock Maryland

description: In lieu of a uniform mapping of the Chesapeake and Ohio Canal National Historical Park corridor at very high-resolution using UAS, this study developed a multi-scale workflow, where (1) geospatial modeling methods and (2) historic image analysis were used to constrain the areal extent of (3) detailed field and unmanned aerial systems (UAS) observation. Geospatial Modeling Methods: Harperella habitat characteristics reported by literature sources and corroborated by extremely limited harperella occurrence data (in the form of GPS locations), were compiled into a geospatial prediction model (GPM) to characterize the extent of harperella habitat for the region between Sideling Hill Wildlife Management Area and Harper's Ferry National Park. Historical Image Analysis: Analysis consisted of visual examination and manual delineation of in-channel bars within the Potomac River and its larger tributaries, including the Cacapon River, lower Tonoloway Creek, Sleepy Creek, lower Lick Run, and Back Creek. This manual delineation was conducted for several dates of historic aerial imagery, including 2009, 2011, 2013, 2016, and 2017. Persistence of different parts of the in-channel bars over time was mapped by intersecting the 5 years of interpretations. UAS image acqusition of AOIs: UAS imagery was collected to facilitate detailed observation, terrain modeling, and documentation of 10 AOIs (shown in figure). National Park Service regulations restrict the take-off and landing of UAS on park property, so the edge of in-channel bars within the Potomac River was used to enable line-of-sight UAS image acquisition covering the entire AOI. The USGS and the Aerial Vision Group, LLC sought permission to fly a small UAS from both the Maryland and West Virginia Department of Natural Resources (DNR). DEM and Orthophoto datasets are available by request - please email jdewitt@usgs.gov
DOI: 10.17632/5skpwjh3sw.2
title: A Software Architecture for a Fault Diagnostic Engine

description: This document is the complete Carnegie Mellon SEI format Software Architecture Document for a multi-agent fault diagnostic engine. It replicates all the document sections recommended in the SEI template and the SEI Views and Beyond methodology. The document supports the journal paper "Architecting an Agent-Based Fault Diagnosis Engine for IEC 61499 Industrial Cyber-Physical Systems" by Barry Dowdeswell, Roopak Sinha and Stephen G. MacDonell. A blank template for the LaTeX format of the document has been provided in zip-format for practitioners who wish to develop similar documents. It provides placeholders for all the document sections an examples of the LaTeX structures used to create the document.
DOI: 10.17632/ksdj6j9c2g.1
title: 3D Tight Sandstone Digital Rock Reconstruction with Deep Learning

description: A new method of reconstructing 3D tight sandstone digital rock with deep learning is proposed, and 3D convolution is used in the generator and the discriminator of deep convolutional generative adversative network (DCGAN), which can reconstruct 3D digital rock from one dimensional noise data.
DOI: 10.17632/38w64m7w7t.1
title: Data on consumers’ purchase behavior towards certified rice in Vietnam

description: The data contains information on purchase behavior of certified rice of 199 urban Vietnamese consumers, surveyed in August 2016.
DOI: 10.17632/yzyxtpcnxm.1
title: CADE_ato_concentracao_2015_2018

description: Datasets of economic-featured documents for legal defense of merger cases. The target feature for these documents is the legal procedural rite the process must follow. In order to apply k-fold cross validation, we randomly created the train-valid sample combinations in advance, e.g. valid_index_final_split_1 is the validation set for training set train_index_final_split_1. We employed k-fold with k = 5. Collected from The Administrative Council of Economic Defense (CADE) website.
DOI: 10.5066/p9exzljt
title: Calculated carbon concentrations, loads and flux, in Big Cypress National Preserve, southern Florida, 2015-2017

description: This data release provides data for quantifying the aquatic export of total carbon in a cypress swamp within the Big Cypress National Preserve, and is part of a larger carbon budget study. The U.S. Geological Survey operated two continuous streamflow and water-quality monitoring stations within the Big Cypress National Preserve in southern Florida from September 2015 to October 2017. Site-specific regression models were developed using continuously measured specific conductance and concomitant discretely collected total carbon (dissolved organic carbon, dissolved inorganic carbon, and particulate carbon) samples to calculate continuous concentrations of total carbon. Total carbon loads were calculated by multiplying concentrations and streamflow, and the difference between the load calculations was used to determine the aquatic carbon export of the study area.
DOI: 10.17632/bj4wcgnfkr.1
title: Data for: Development of a drone-borne volcanic plume sampler

description: Dataset for a research article titled "Development of a drone-borne volcanic plume sampler." The article was accepted by Journal of Volcanology and Geothermal Research.
DOI: 10.17632/bvz2jz99xh.1
title: A global Curie depth model utilising the equivalent source magnetic dipole method

description: An updated global Curie depth model by employing the equivalent source dipole method to fit the lithospheric magnetic field model LCS-1 from spherical harmonic degree 16 to 100
DOI: 10.5066/p909ld47
title: Water Quality Parameters in the Verde River below Granite Creek, Arizona, June 2018

description: Water quality parameters (water temperature, specific conductance, pH, dissolved oxygen, air temperature, and barometric pressure) were measured in the Verde River over a half mile reach below the confluence with Granite Creek. Measurements were made using a calibrated In-Situ SmarTROLL multiparameter meter on June 13, 2018.
DOI: 10.17632/tv5rc7yccr.1
title: Lawrence Supplemental Tables

description: Supplemental tables for Journal of Dairy Science Article: Evaluating the impact of Lactobacillus animalis and Propionibacterium freudenreichii on performance and rumen and fecal measures in lactating dairy cows. M. Lawrence, S. Polukis, A. M. Barnard, M. Miller, L. Kung, Jr. and T. F. Gressley
DOI: 10.5066/f7cv4gng
title: Interior Least Tern Sandbar Nesting Habitat Measurements from Landsat TM Imagery-Data

description: Sandbars of large sand-bedded rivers of the Central U.S. serve important ecological functions to many species, including the endangered Interior Least Tern (Sternula antillarum) (ILT). ILT are colonial birds which feed on fish and nest primarily on riverine sandbars during their annual breeding season of approximately May through July, depending on region. During this time, ILT require bare sand of sufficient elevation so as not to be inundated during the period between nest initiation and fledging of hatchlings. ILT were originally listed as endangered due in part to decreases in available sandbar habitat from river channelization and impoundment. Sandbars in Central U.S. rivers used by ILT are highly dynamic, with substantive changes occurring across a wide range of temporal and spatial scales. River hydrology is the primary driver of sandbar morphodynamics in these systems. Better characterization of sandbar area over time accounting for varying flow regimes allows for a better understanding of landscape-scale ecology for sandbar-dependent species such as the ILT. This dataset seeks to quantify sandbar area which may be used by ILT at the landscape scale and how it has changed over time using remote sensing techniques. The assessment of landscape scale trends in sandbar area over time requires datasets with relatively high temporal resolution and long periods of record covering large geographic areas, and remotely-sensed datasets must also consider changes in river stage. Land cover classification datasets within active channel masks were developed using all available images from the Landsat Thematic Mapper (TM) series of satellites meeting cloud-free (40% or less) and ice-free criteria. Landsat imagery was selected because of its long period of record, spatial coverage, and regular reimaging cycle, making it well suited to monitoring ILT sandbar habitat over time. These datasets were also attributed by discharge or stage using a new database integrating U.S. Geological Survey and U.S. Army Corps of Engineers river data with Landsat metadata. This report documents development of these riverine classification datasets with a focus on applicability to the ILT. This framework may be used for continuing monitoring of ILT sandbar nesting habitat.
DOI: 10.15468/ydesm8
title: Contribution to the knowledge of the oribatid mite genus Hardybodes (Acari, Oribatida, Carabodidae) with description of a new species from the Philippines

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ermilov, Sergey G., Corpuz-Raros, Leonila (2018): Contribution to the knowledge of the oribatid mite genus Hardybodes (Acari, Oribatida, Carabodidae) with description of a new species from the Philippines. Acarologia 58 (1): 131-139, DOI: 10.24349/acarologia/20184230
DOI: 10.5066/p94tc61q
title: Weed-suppressive bacteria data set collected on Mid-Columbia National Wildlife Refuge

description: We conducted a case studies testing effectiveness of a soil borne bacteria, Pseudomonas fluorescens strain D7, in controlling Bromus tectorum (cheatgrass) and in affecting the density of sown desirable seedlings. Response variables (foliar cover, aboveground biomass, and density of B. tectorum; density of sown native plants) were measured for three years after treatment.
DOI: 10.5066/p9o1khgc
title: High-resolution object-based image classifications of biological soil crusts and vegetation (Beef Basin, Utah)

description: This dataset contains 10 classified raster images identifying the distribution and condition of biological soil crusts using high-resolution imagery from Unmanned Aerial Systems (UAS). Also included are: a supplemental accuracy report and accuracy matrix for each classified image, and all associated accessory files. These images are located in Beef Basin, Southeastern Utah, and focuses on two ecological site types: Semidesert Shallow Loam, and Upland Stony Loam ('Sagebrush' and 'Pinyon-Juniper') sites. Five 50 x 50 m field sites were established for a total of 10 sites.
DOI: 10.5066/p9zkca0r
title: Promoting Change in Common Tern (Sterna hirundo) Nest Site Selection to Minimize Construction Related Disturbance

description: These data describe the status of eggs in nests which had a foster egg added to them as part of an effort to relocate a common tern colony on Poplar Island. One data file (McGowanEtAl2018_FosterNestData_Data.csv) contains the data regarding the observations, while one definitions file (McGowanEtAl2018_FosterNestData_Definitions.csv) details the data.
DOI: 10.34740/kaggle/dsv/1909087
title: US counties COVID 19 dataset
DOI: 10.34740/kaggle/dsv/1909089
title: US counties COVID 19 dataset
DOI: 10.5066/p9gjtryr
title: Sediment composition data from northern Pennsylvania

description: Sediment composition data to support the manuscript &amp;quot;Multivariate analysis of shale gas development on the chemical and biological health of headwater streams&amp;quot;.
DOI: 10.5066/p9unyg2r
title: Analysis of drought sensitivity in the Pacific Northwest (Washington, Oregon, and Idaho) from 2000 through 2016

description: This data release includes data-processing scripts, data products, and associated metadata for a remote-sensing based approach to characterize vegetation sensitivity to droughts from 2000 through 2016 in the U.S. states of Washington, Oregon, and Idaho. Drought sensitivity analysis was conducted in minimally-disturbed ('intact') forest and shrub-steppe ecosystems, defined as 1-km pixels (i.e., grid cells) that had not experienced major recent insect mortality or fire. Drought conditions were assessed using the multi-scalar standardized precipitation evapotranspiration index (SPEI), for which positive values indicate wetter that average conditions and negative values indicate drier than average conditions for a given site (Vicente-Serrano and others, 2010). A multi-scalar drought sensitivity index (S') was developed for two drought intensity levels (L): moderate drought (-1.5 less than SPEI less than or equal to -1) and severe drought (SPEI less than or equal to -1.5). Vegetation response to droughts was quantified using remotely sensed Enhanced Vegetation Index (EVI) from the Moderate-resolution Imaging Spectroradiometer (MODIS) for summer months (June, July, and August) from 2000 through 2016. EVI is a vegetation index calculated from the blue, red, and near-infrared spectral bands representing atmospherically corrected surface reflectance and has advantages over other similar indices in its abilities to represent areas of dense vegetation (Huete and others, 2002). For each pixel, S' represents the percent decrease in EVI under drought conditions relative to baseline (non-drought, non-pluvial) conditions. Relationships between S' and a variety of landscape characteristics representing climatic water balance, topography, soil characteristics, and shallow groundwater availability were examined using Boosted Regression Tree (BRT) modeling, a machine-learning algorithm (Elith and others, 2008). For detailed descriptions of data-release components, including analysis methods and modeling, please consult the appropriate metadata documents that accompany the processing scripts and data products. References Elith, J., Leathwick, J.R., and Hastie, T., 2008, A working guide to boosted regression trees: Journal of Animal Ecology, v. 77, no. 4, p. 802-813. Huete, A., Didan, K., Miura, T., Rodriguez, E.P., Gao, X., and Ferreira, L.G., 2002, Overview of the radiometric and biophysical performance of the MODIS vegetation indices: Remote Sensing of Environment, v. 83, p. 195-213. Vicente-Serrano, S.M., Begueria, S., and Lopez-Moreno, J.I., 2010, A multiscalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index: Journal of Climate, v. 23, no. 7, p. 1696-1718.
DOI: 10.5066/p9tuoh95
title: Iron fouling data associated with drainage from roadway sites constructed with rock fill in New Hampshire

description: This data release contains files that are associated with the publication 'Understanding and predicting iron fouling associated with drainage from roadway sites constructed with rock-fill in New Hampshire, USA'. Each zipped file contains a data table or raster file and an associated metadata file. IronFoulingCutFillData.zip contains a .csv file and .xml metadata file related to the roadcut and rock-fill locations used to develop a statistical model to predict the probability of iron fouling at roadway sites constructed with rock-fill in New Hampshire. Water_Quality_Measurements.zip contains a .csv file and .xml metadata file for water quality field measurements made at drainage areas from a subset of the rock-fill locations in the IronFoulingCutFillData files. The NHIronFoulingProb.zip file contains a geotiff raster of the predicted probability of iron fouling occurring at any location within New Hampshire where rock-fill from that location is used and contacts drainage. This is the output from the statistical model prediction. NHIronFoulingProb.zip also contains an .xml metadata file. This data release contains a raster of the probability of obtaining 40 gallons per minute from a 400-foot-deep well in New Hampshire and is from the USGS Professional Paper 1660 (Moore and others, 2002). The raster originally released with the publication contains categorical ranges of the probability values and not the actual probability values. These probabilities are a variable in the statistical model developed to predict iron fouling associated with drainage from roadway sites constructed with rock-fill in New Hampshire.
DOI: 10.5517/ccdc.csd.cc1pwb74
title: CCDC 1575396: Experimental Crystal Structure Determination

description: Related Article: Srinivasan Karuppannan|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25pffr
title: CCDC 2016594: Experimental Crystal Structure Determination

description: Related Article: Liping Zhang, Bidhan Chandra De, Wenjun Zhang, Attila Mándi, Zhuangjie Fang, Chunfang Yang, Yiguang Zhu, Tibor Kurtán, Changsheng Zhang|2020|J.Biol.Chem.|295|16987|doi:10.1074/jbc.RA120.015563
description: Related Article: De Bidhan|2020|CSD Communication|||
DOI: 10.5066/p9vuqh51
title: Data on blood cells of the collector urchin, Tripneustes gratilla

description: Echinoderms such as urchins are important in marine ecosystems, particularly as grazers, and unhealthy urchins can have important ecological implications. For instance, unexplained mortalities of Diadema sp. in the Caribbean were followed by algal overgrowth and subsequent collapse of coral reef ecosystems. Unfortunately few tools exist to evaluate echinoderm health making management of mortalities or other health issues problematic. Hematology is often used to assess animal health in many animal groups including invertebrates but is seldom applied to echninoderms. We used a standard gravitometric technique to concentrate fixed ceolomocytes from the collector urchin Tripneustes gratilla onto microscope slides permitting staining and enumeration. Using Romanowsky stain and electron microscopy to visualize cell details, we found that in addition to amoebocytes, vibratile, clear and red spherule cells, Tripneustes has at least three other types of coelomocytes. Moreover, cytophagia of host cells by less than 1 percent of circulating amoebocytes is common (seen in 71 percent of sea urchins sampled). Cytophagocytic amoebocytes seems to target mainly the motile cells including red spherules, clear spherules, and vibratile cells disproportionate to underlying populations of these cell types. Lectins appear to bind to coelomocytes selectively and could be a useful biomarker for identifying or purifying echinoderm coelomocytes. The blood collection and smear preparation methods described here are simple, field portable, and might be a useful complementary tool for assessing health of other marine invertebrates and revealing heretofore unknown physiologic phenomena in this animal group.
DOI: 10.5517/ccdc.csd.cc267pqw
title: CCDC 2033188: Experimental Crystal Structure Determination

description: Related Article: Ying Li, Cheng Wang, Zhiqiang Ma, Kun Zhang, Xue-Tao Xu|2020|CSD Communication|||
description: Related Article: Ying Li, Cheng Wang, Zhiqiang Ma, Kun Zhang, Xue-Tao Xu|2020|Org.Lett.|22|8589|doi:10.1021/acs.orglett.0c03183
DOI: 10.5517/ccdc.csd.cc26fjhp
title: CCDC 2038792: Experimental Crystal Structure Determination

description: Related Article: Ying Li, Cheng Wang, Zhiqiang Ma, Kun Zhang, Xue-Tao Xu|2020|CSD Communication|||
description: Related Article: Ying Li, Cheng Wang, Zhiqiang Ma, Kun Zhang, Xue-Tao Xu|2020|Org.Lett.|22|8589|doi:10.1021/acs.orglett.0c03183
DOI: 10.5517/ccdc.csd.cc26gk5f
title: CCDC 2039774: Experimental Crystal Structure Determination

description: Related Article: Vojtěch Štejfa, Jan Rohlíček, Ctirad Červinka|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26h5fb
title: CCDC 2040371: Experimental Crystal Structure Determination

description: Related Article: Thorsten Happel, Armin Berndt, Gertraud Geiseler, Werner Massa|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26h6tr
title: CCDC 2040414: Experimental Crystal Structure Determination

description: Related Article: Louis Kuo|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26hc69
title: CCDC 2040550: Experimental Crystal Structure Determination

description: Related Article: David Scheschkewitz, Armin Berndt, Gertraud Geiseler, Werner Massa|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26hkhs
title: CCDC 2040745: Experimental Crystal Structure Determination

description: Related Article: Qing Xia, Yufei Li, Lan Cheng, Xin Liang, Chenlin Cao, Peng Dai, Hongping Deng, Weihua Zhang, Qingmin Wang|2020|Org.Lett.|22|9638|doi:10.1021/acs.orglett.0c03703
description: Related Article: qing xia|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26hklw
title: CCDC 2040748: Experimental Crystal Structure Determination

description: Related Article: Qing Xia, Yufei Li, Lan Cheng, Xin Liang, Chenlin Cao, Peng Dai, Hongping Deng, Weihua Zhang, Qingmin Wang|2020|Org.Lett.|22|9638|doi:10.1021/acs.orglett.0c03703
description: Related Article: qing xia|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26hkmx
title: CCDC 2040749: Experimental Crystal Structure Determination

description: Related Article: Qing Xia, Yufei Li, Lan Cheng, Xin Liang, Chenlin Cao, Peng Dai, Hongping Deng, Weihua Zhang, Qingmin Wang|2020|Org.Lett.|22|9638|doi:10.1021/acs.orglett.0c03703
description: Related Article: qing xia|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26hkny
title: CCDC 2040750: Experimental Crystal Structure Determination

description: Related Article: Qing Xia, Yufei Li, Lan Cheng, Xin Liang, Chenlin Cao, Peng Dai, Hongping Deng, Weihua Zhang, Qingmin Wang|2020|Org.Lett.|22|9638|doi:10.1021/acs.orglett.0c03703
description: Related Article: qing xia|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26hkpz
title: CCDC 2040751: Experimental Crystal Structure Determination

description: Related Article: Qing Xia, Yufei Li, Lan Cheng, Xin Liang, Chenlin Cao, Peng Dai, Hongping Deng, Weihua Zhang, Qingmin Wang|2020|Org.Lett.|22|9638|doi:10.1021/acs.orglett.0c03703
description: Related Article: qing xia|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26hm9n
title: CCDC 2040801: Experimental Crystal Structure Determination

description: Related Article: Thorsten Happel, Armin Berndt, Gertraud Geiseler, Werner Massa|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26hnm0
title: CCDC 2040842: Experimental Crystal Structure Determination

description: Related Article: David Scheschkewitz, Armin Berndt, Gertraud Geiseler, Werner Massa|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26hqbs
title: CCDC 2040895: Experimental Crystal Structure Determination

description: Related Article: Nathan Knotts, Rainer Glaser, Charles L. Barnes, Steven P. Kelley|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26hqct
title: CCDC 2040896: Experimental Crystal Structure Determination

description: Related Article: Nathan Knotts, Rainer Glaser, Charles L. Barnes, Steven P. Kelley|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26hqdv
title: CCDC 2040897: Experimental Crystal Structure Determination

description: Related Article: Nathan Knotts, Rainer Glaser, Charles L. Barnes, Steven P. Kelley|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26hqfw
title: CCDC 2040898: Experimental Crystal Structure Determination

description: Related Article: Nathan Knotts, Rainer Glaser, Charles L. Barnes, Steven P. Kelley|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26hqq5
title: CCDC 2040907: Experimental Crystal Structure Determination

description: Related Article: Valerii Tkachev|2020|CSD Communication|||
DOI: 10.5066/p9z7dvy4
title: Dataset: Molecular identification of honey bee collected pollen in the Northern Great Plains, 2015-2016

description: In this study USGS scientists collected pollen samples from honey bee (Apis mellifera) colonies distributed across North Dakota, South Dakota, and Minnesota, in 2015 and 2016. Sequencing of nuclear ribosomal loci was used to to determine the number and abundance of flowering plant taxa. The data contain counts of Operational Taxonomic Unit (OTU) reads of honey bee collected pollen from apiary locations throughout the growing season.
DOI: 10.5517/ccdc.csd.cc26hsk2
title: CCDC 2040964: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Roman V. Rumyantcev|2020|CSD Communication|||