cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17909/t9-asft-6k38
title: CLOUD ATLAS: HUBBLE SPACE TELESCOPE NEAR-INFRARED SPECTRAL LIBRARY OF BROWN DWARFS, PLANETARY-MASS COMPANIONS, AND HOT JUPITERS

description: We present a uniform, high-quality spectral library (1.10-1.69 microns) of the thermal emission of 76 brown dwarfs,
substellar companions, and hot Jupiters. All our spectra have been acquired with the Hubble Space Telescope's Wide
Field Camera 3 instrument and its G141 grism The near-infrared derived spectral types of these objects range from
L4 to Y1. This sample also includes two very low surface gravity objects and ve intermediate-surface-gravity objects.
Eight of our targets have estimated masses below the deuterium-burning limit, some as low as 2 MJup.
We also provide a thoughtful analysis of the database. Spectral indices designed to search for composite atmosphere
brown dwarfs indicate that eight objects in our sample are strong candidates to have such atmospheres. In addition,
none are overluminous, therefore their composite atmospheres are unlikely a companion-induced artifact. Five of the
eight conrmed candidates have been reported as photometrically variable, suggesting that composite atmospheric
indices are useful in identifying brown dwarfs with strongly heterogeneous cloud covers.
We measure the depths of the H2O and CH4 bands at 1.4 and 1.2 m, respectively, and derive a relation between
near-infrared spectral types and band depths that are useful in classifying spectral types of brown dwarfs.
Finally, we compare hot Jupiters, other planetary mass objects, and brown dwarfs in a near-infrared color-magnitude
diagram. We conrm that the coldest hot Jupiters in our sample have spectra similar to mid-L dwarfs,
and the hottest hot Jupiters have spectra similar to those of M-dwarfs. Our sample provides a very highquality,
uniform dataset of a broad range of ultracool atmospheres, allowing large-scale, comparative studies, as well
providing HST legacy spectral library.
DOI: 10.5281/zenodo.1408929
title: Mediterranean Sea Climatic Indices - T/S Vertical Averages

description: Climatic indices for the Mediterranean Sea (6.25W-36.5E, 30N-46N) from 1950 to 2015. The file<br>
"Med_Climatic_Indices_VerticalAverages.tar.gz" contains : a) an ascii file named "inventory_VerticalAverages.txt" which lists all the available indices, and b) a directory named "VerticalAverages" with the indices under the following structure:


	VerticalAverages/Annual_Decadal/Variable_decade_allmonths_z1z2.nc
	VerticalAverages/Seasonal_Decadal/ Variable_decade_season_z1z2.nc


The Variable naming is:


	Tanomvavg: Vertically averaged temperature anomaly
	Sanomvavg: Vertically averaged salinity anomaly


Other naming:


	allmonths: 0112 (all months from January to December)
	season: 0103 for winter, 0406 for spring, 0709for summer, 1012 for autumn
	decade: 19501959 to 20062015
	z1z2: vertical layer between z1 and z2 depths


Example:


	Tanomvavg_20062015_1012_6004000.nc, is the autumn vertically averaged temperature anomaly, for the decade 2006-2015, between 600 and 4000 m
DOI: 10.6073/pasta/882102ae95dc5dd790e470b139572ce7
title: RCS01 Recovery and relative influence of root, microbial, and structural properties of soil on physically sequestered carbon stocks in restored grassland at Konza Prairie

description: Managing soil to sequester C can help mitigate increasing CO2 in the atmosphere. To maximize this ecosystem service, more knowledge of factors influencing C sequestration is needed. The objectives of this study were to (i) quantify recovery of the roots, microbial biomass and composition, and soil structure across a chronosequence of grassland restorations and (ii) use a structural equation model to develop a data-based hypothesis on the relative influence of physical and biological soil properties on the soil C aggregate fraction diagnostic of sequestered C. We hypothesized measured variables would recover with restoration age. Belowground plant biomass and tissue quality (C/N ratio), soil microbial biomass C, phospholipid fatty acid (PLFA) concentrations, soil structure, and soil C stocks in the bulk soil and each aggregate fraction were quantified from a cultivated field, prairies restored for 1 to 35-yr (n = 6), and a never-cultivated (native) prairie. Root biomass, microbial biomass C, arbuscular mycorrhizal fungi (AMF) PLFA biomass across the chronosequence increase to resemble native prairie following 35 yr of restoration. Many aspects of soil structure (i.e., bulk density, proportional mass of aggre- gate fractions, and aggregate mean weighted diameter) and the distribution C among soil fractions, including C in the micro-within-macro aggregate fraction (sequestered C), also became representative of native prairie within 35 yr of restoration. Total soil C stock and physically protected C increased at a similar rate (23 and 27 g C m-2 yr-1) respectively, across the chronosequence. After 35 yr of restoration, 50% of the total C pool was physically protected. The structural equation modeling developed by these data hypothesizes that microbial biomass C and AMF biomass (microbial composition) have the strongest causal influence on physically protected C. This model needs to be tested using independent sites to achieve greater inference.
DOI: 10.15482/usda.adc/1470774
title: Data from: Agro-environmental consequences of shifting from nitrogen- to phosphorus-based manure management of corn.
DOI: 10.5281/zenodo.1408928
title: Mediterranean Sea Climatic Indices - T/S Vertical Averages

description: Climatic indices for the Mediterranean Sea (6.25W-36.5E, 30N-46N) from 1950 to 2015. The file<br>
"Med_Climatic_Indices_VerticalAverages.tar.gz" contains : a) an ascii file named "inventory_VerticalAverages.txt" which lists all the available indices, and b) a directory named "VerticalAverages" with the indices under the following structure:


	VerticalAverages/Annual_Decadal/Variable_decade_allmonths_z1z2.nc
	VerticalAverages/Seasonal_Decadal/ Variable_decade_season_z1z2.nc


The Variable naming is:


	Tanomvavg: Vertically averaged temperature anomaly
	Sanomvavg: Vertically averaged salinity anomaly


Other naming:


	allmonths: 0112 (all months from January to December)
	season: 0103 for winter, 0406 for spring, 0709for summer, 1012 for autumn
	decade: 19501959 to 20062015
	z1z2: vertical layer between z1 and z2 depths


Example:


	Tanomvavg_20062015_1012_6004000.nc, is the autumn vertically averaged temperature anomaly, for the decade 2006-2015, between 600 and 4000 m
DOI: 10.25920/0xv3-8459
title: Si-Vacancy complexes in Graphene

description: Scanning transmission electron microscopy of Si-vacancy complexes in monolayer graphene
description: Dynamic electron beam-induced transformations are used to create libraries of the possible Si and carbon vacancy defects in graphene monolayer. Automated image analysis and recognition based on deep learning networks is developed to identify and categorize the defects, creating a library of (meta) stable defect configurations.
DOI: 10.25810/10.25810/558f-c477.5
title: Australia Newspaper Coverage of Climate Change or Global Warming, 2004-2018 - August 2018

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.5281/zenodo.1408831
title: Mediterranean Sea Climatic Indices - T/S Anomalies

description: Climatic indices for the Mediterranean Sea (6.25W-36.5E, 30N-46N) from 1950 to 2015.  The file<br>
"Med_Climatic_Indices_Anomalies.tar.gz" contains : a) an ascii file named "inventory_Anomalies.txt" which lists all the available indices, and b) a directory named "Anomalies" with the indices under the following structure:


	Anomalies/Annual_Decadal/Variable_decade_allmonths_z1_z2.nc
	Anomalies/Seasonal_Decadal/Variable_decade_season_z1_z2.nc


The Variable naming is:


	Tanom: Temperature anomaly
	Sanom: Salinity anomaly


Other naming:


	decade: 19501959 to 20062015
	allmonths: 0112 (all months from January to December)
	season: 0103 for winter, 0406 for spring, 0709for summer, 1012 for autumn
	z1, z2: standard depth levels


Example:


	Sanom_19501959_0112_5_4000.nc, is the Salinity anomaly for the decade 19501959 from 5 to 4000 m
DOI: 10.5281/zenodo.1408832
title: Mediterranean Sea Climatic Indices - T/S Anomalies

description: Climatic indices for the Mediterranean Sea (6.25W-36.5E, 30N-46N) from 1950 to 2015.  The file<br>
"Med_Climatic_Indices_Anomalies.tar.gz" contains : a) an ascii file named "inventory_Anomalies.txt" which lists all the available indices, and b) a directory named "Anomalies" with the indices under the following structure:


	Anomalies/Annual_Decadal/Variable_decade_allmonths_z1_z2.nc
	Anomalies/Seasonal_Decadal/Variable_decade_season_z1_z2.nc


The Variable naming is:


	Tanom: Temperature anomaly
	Sanom: Salinity anomaly


Other naming:


	decade: 19501959 to 20062015
	allmonths: 0112 (all months from January to December)
	season: 0103 for winter, 0406 for spring, 0709for summer, 1012 for autumn
	z1, z2: standard depth levels


Example:


	Sanom_19501959_0112_5_4000.nc, is the Salinity anomaly for the decade 19501959 from 5 to 4000 m
DOI: 10.5281/zenodo.1408876
title: Mediterranean Sea Climatic Indices -  Areal Density Of Ohc/Osc

description: Climatic indices for the Mediterranean Sea (6.25W-36.5E, 30N-46N) from 1950 to 2015.  The file<br>
"Med_Climatic_Indices_ArealDensity.tar.gz" contains : a) an ascii file named "inventory_ArealDensity.txt" which lists all the available indices, and b) a directory named "ArealDensity" with the indices under the following structure:


	ArealDensity/Annual_Decadal/Variable_decade_allmonths_z1z2.nc
	ArealDensity/Seasonal_Decadal/ Variable_decade_season_z1z2.nc


Other naming:


	decade: 19501959 to 20062015
	allmonths: 0112 (all months from January to December)
	season: 0103 for winter, 0406 for spring, 0709for summer, 1012 for autumn
	z1z2: vertical layer between z1 and z2 depths


 

Example:


	OHCad_19501959_0112_5150.nc, is the areal density of the Ocean Heat Content anomaly for the decade 19501959 between 5 and 150 m
DOI: 10.5281/zenodo.1408877
title: Mediterranean Sea Climatic Indices -  Areal Density Of Ohc/Osc

description: Climatic indices for the Mediterranean Sea (6.25W-36.5E, 30N-46N) from 1950 to 2015.  The file<br>
"Med_Climatic_Indices_ArealDensity.tar.gz" contains : a) an ascii file named "inventory_ArealDensity.txt" which lists all the available indices, and b) a directory named "ArealDensity" with the indices under the following structure:


	ArealDensity/Annual_Decadal/Variable_decade_allmonths_z1z2.nc
	ArealDensity/Seasonal_Decadal/ Variable_decade_season_z1z2.nc


Other naming:


	decade: 19501959 to 20062015
	allmonths: 0112 (all months from January to December)
	season: 0103 for winter, 0406 for spring, 0709for summer, 1012 for autumn
	z1z2: vertical layer between z1 and z2 depths


 

Example:


	OHCad_19501959_0112_5150.nc, is the areal density of the Ocean Heat Content anomaly for the decade 19501959 between 5 and 150 m
DOI: 10.5281/zenodo.1408903
title: Mediterranean Sea Climatic Indices - Differences Of Two 30-Years Averages Of T/S, Ohc/Osc Anomalies

description: Climatic indices for the Mediterranean Sea (6.25W-36.5E, 30N-46N) from 1950 to 2015.  The file<br>
"Med_Climatic_Indices_Climashift_30yrs.tar.gz" contains : a) an ascii file named "inventory_Climashift_30yrs.txt" which lists all the available indices, and b) a directory named "Climashift_30yrs" with the indices under the following structure:


	Climashift_30yrs/Anomalies/Annual/Variable_decade2_decade1_allmonths_z1_z2.nc
	Climashift_30yrs/Anomalies/Seasonal/ Variable_decade2_decade1_season_z1_z2.nc
	Climashift_30yrs/Vertical_Averages/Annual/Variable_decade2_decade1_allmonths_z1z2.nc
	Climashift_30yrs/Vertical_Averages/Seasonal/Variable_decade2_decade1_season_z1z2.nc


The Variable naming is:


	 Tanomclimashift: Temperature anomaly difference between decade2 and decade1
	 Sanomclimashift: Temperature anomaly difference between decade2 and decade1
	 Tvavgclimashift: Vertically averaged temperature anomaly difference between decade2 and decade1
	 Svavgclimashift: Vertically averaged salinity anomaly difference between decade2 and decade1
	 OHCclimashift: Ocean Heat Content anomaly difference between decade2 and decade1
	 OSCclimashift: Ocean Salt Content anomaly difference between decade2 and decade1


    <br>
Other naming:


	decade1: stands for 19501979
	decade2: stands for 19802015
	allmonths: 0112 (all months from January to December)
	season: 0103 for winter, 0406 for spring, 0709for summer, 1012 for autumn
	z1z2: vertical layer between z1 and z2 depths
	z1, z2: standard depth levels


Example:


	Sanomclimashift_19802015_19501979_0112_5_4000.nc, is the annual salinity anomaly difference between 1980-2015 and 1950-1970 from 5 to 4000 m.


<br>
DOI: 10.5281/zenodo.1411397
title: Mediterranean Sea Climatic Indices - Time Series  Of T/S, Ohc/Osc Anomalies

description: Climatic indices for the Mediterranean Sea (6.25W-36.5E, 30N-46N) from 1950 to 2015. The file<br>
"Med_Climatic_Indices_TimesSeries.tar.gz" contains a directory named "TimeSeries" with the following 5 indices:


	TimeSeries_Annual.nc: annual time series for Temperature (T), Salinity (S), Ocean Heat Content (OHC) and Ocean Salt Content (OSC) anomalies for 57 running decades (from decade 1950-1959 (Y1) to decade 20062015) and four layers from d1-d2 m (surface 5-150 m,  intermediate 150 - 600 m, deep 600 - 4000 m and the whole column (5 - 4000 m).
	TimeSeries_Seasonal_0103.nc: winter time series for Temperature (T), Salinity (S), Ocean Heat Content (OHC) and Ocean Salt Content (OSC) anomalies for 57 running decades (from decade 1950-1959 (Y1) to decade 20062015) and four layers from d1-d2 m (surface 5-150 m,  intermediate 150 - 600 m, deep 600 - 4000 m and the whole column (5 - 4000 m).
	TimeSeries_Seasonal_0406.nc: spring time series for Temperature (T), Salinity (S), Ocean Heat Content (OHC) and Ocean Salt Content (OSC) anomalies for 57 running decades (from decade 1950-1959 (Y1) to decade 20062015) and four layers from d1-d2 m (surface 5-150 m,  intermediate 150 - 600 m, deep 600 - 4000 m and the whole column (5 - 4000 m).
	TimeSeries_Seasonal_0709.nc: summer time series for Temperature (T), Salinity (S), Ocean Heat Content (OHC) and Ocean Salt Content (OSC) anomalies for 57 running decades (from decade 1950-1959 (Y1) to decade 20062015) and four layers from d1-d2 m (surface 5-150 m,  intermediate 150 - 600 m, deep 600 - 4000 m and the whole column (5 - 4000 m).
	TimeSeries_Seasonal_1012.nc: autumn time series for Temperature (T), Salinity (S), Ocean Heat Content (OHC) and Ocean Salt Content (OSC) anomalies for 57 running decades (from decade 1950-1959 (Y1) to decade 20062015) and four layers from d1-d2 m (surface 5-150 m,  intermediate 150 - 600 m, deep 600 - 4000 m and the whole column (5 - 4000 m).
DOI: 10.5281/zenodo.1411398
title: Mediterranean Sea Climatic Indices - Time Series  Of T/S, Ohc/Osc Anomalies

description: Climatic indices for the Mediterranean Sea (6.25W-36.5E, 30N-46N) from 1950 to 2015. The file<br>
"Med_Climatic_Indices_TimesSeries.tar.gz" contains a directory named "TimeSeries" with the following 5 indices:


	TimeSeries_Annual.nc: annual time series for Temperature (T), Salinity (S), Ocean Heat Content (OHC) and Ocean Salt Content (OSC) anomalies for 57 running decades (from decade 1950-1959 (Y1) to decade 20062015) and four layers from d1-d2 m (surface 5-150 m,  intermediate 150 - 600 m, deep 600 - 4000 m and the whole column (5 - 4000 m).
	TimeSeries_Seasonal_0103.nc: winter time series for Temperature (T), Salinity (S), Ocean Heat Content (OHC) and Ocean Salt Content (OSC) anomalies for 57 running decades (from decade 1950-1959 (Y1) to decade 20062015) and four layers from d1-d2 m (surface 5-150 m,  intermediate 150 - 600 m, deep 600 - 4000 m and the whole column (5 - 4000 m).
	TimeSeries_Seasonal_0406.nc: spring time series for Temperature (T), Salinity (S), Ocean Heat Content (OHC) and Ocean Salt Content (OSC) anomalies for 57 running decades (from decade 1950-1959 (Y1) to decade 20062015) and four layers from d1-d2 m (surface 5-150 m,  intermediate 150 - 600 m, deep 600 - 4000 m and the whole column (5 - 4000 m).
	TimeSeries_Seasonal_0709.nc: summer time series for Temperature (T), Salinity (S), Ocean Heat Content (OHC) and Ocean Salt Content (OSC) anomalies for 57 running decades (from decade 1950-1959 (Y1) to decade 20062015) and four layers from d1-d2 m (surface 5-150 m,  intermediate 150 - 600 m, deep 600 - 4000 m and the whole column (5 - 4000 m).
	TimeSeries_Seasonal_1012.nc: autumn time series for Temperature (T), Salinity (S), Ocean Heat Content (OHC) and Ocean Salt Content (OSC) anomalies for 57 running decades (from decade 1950-1959 (Y1) to decade 20062015) and four layers from d1-d2 m (surface 5-150 m,  intermediate 150 - 600 m, deep 600 - 4000 m and the whole column (5 - 4000 m).
DOI: 10.25810/4c3b-b819.5
title: World Newspaper Coverage of Climate Change or Global Warming, 2004-2018 - August 2018

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25810/es52-xr23.5
title: Canadian Newspaper Coverage of Climate Change or Global Warming, 2004-2018 - August 2018

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.5281/zenodo.1408902
title: Mediterranean Sea Climatic Indices - Differences Of Two 30-Years Averages Of T/S, Ohc/Osc Anomalies

description: Climatic indices for the Mediterranean Sea (6.25W-36.5E, 30N-46N) from 1950 to 2015.  The file<br>
"Med_Climatic_Indices_Climashift_30yrs.tar.gz" contains : a) an ascii file named "inventory_Climashift_30yrs.txt" which lists all the available indices, and b) a directory named "Climashift_30yrs" with the indices under the following structure:


	Climashift_30yrs/Anomalies/Annual/Variable_decade2_decade1_allmonths_z1_z2.nc
	Climashift_30yrs/Anomalies/Seasonal/ Variable_decade2_decade1_season_z1_z2.nc
	Climashift_30yrs/Vertical_Averages/Annual/Variable_decade2_decade1_allmonths_z1z2.nc
	Climashift_30yrs/Vertical_Averages/Seasonal/Variable_decade2_decade1_season_z1z2.nc


The Variable naming is:


	 Tanomclimashift: Temperature anomaly difference between decade2 and decade1
	 Sanomclimashift: Temperature anomaly difference between decade2 and decade1
	 Tvavgclimashift: Vertically averaged temperature anomaly difference between decade2 and decade1
	 Svavgclimashift: Vertically averaged salinity anomaly difference between decade2 and decade1
	 OHCclimashift: Ocean Heat Content anomaly difference between decade2 and decade1
	 OSCclimashift: Ocean Salt Content anomaly difference between decade2 and decade1


    <br>
Other naming:


	decade1: stands for 19501979
	decade2: stands for 19802015
	allmonths: 0112 (all months from January to December)
	season: 0103 for winter, 0406 for spring, 0709for summer, 1012 for autumn
	z1z2: vertical layer between z1 and z2 depths
	z1, z2: standard depth levels


Example:


	Sanomclimashift_19802015_19501979_0112_5_4000.nc, is the annual salinity anomaly difference between 1980-2015 and 1950-1970 from 5 to 4000 m.


<br>
DOI: 10.6080/k0z899mm
title: Bilateral recordings from dorsal hippocampal area CA1 from rats transported
                on a model train and sleeping.
title: CRCNS.org hc-18

description: Action potentials and local field potentials (LFPs) were recorded from the dorsal
                hippocampus (CA1) of five Long-Evans rats during sleep and behavior. During behavior,
                the rats were placed on a miniature treadmill transported by a model train. Passive
                travel disrupts theta spike phase precession, unless the animals actively walk on a
                treadmill (Cei et al., 2014). In subsequent subsessions, the treadmill was either turned
                off or on to selectively perturb theta phase precession or leave it intact. Perturbation
                of theta phase precession impaired theta sequences and subsequent sleep replay. This
                provided evidence that theta sequences are critical to store initial memory traces that
                are subsequently replayed for memory consolidation. Results from the experiments are described in:
                C. Drieu, R. Todorova and M. Zugaro (2018). Nested Sequences of Hippocampal Assemblies During
                Behavior Support Subsequent Sleep Replay. Science.
DOI: 10.25810/558f-c477.5
title: Australia Newspaper Coverage of Climate Change or Global Warming, 2004-2018 - August 2018

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.17632/sg8ngmg8ch.1
title: Data for: Pilot of Concept Mapping During Advanced Pharmacy Practice Experiential Rotations

description: Evaluation of concept mapping when used during disease state discussions with students on clinical rotations in their final year of pharmacy school
DOI: 10.21961/mdm:29207
title: REJUVENATE NCT02655419

description: A Phase IIa prospective, open-label, multicenter study to determine the pharmacokinetics (PK) and safety and tolerability of aztreonam-avibactam (ATM-AVI) for the treatment of complicated Intra-Abdominal Infections (cIAIs) in hospitalized adults. NCT02655419
Sponsors and Collaborators:
Pfizer
Innovative Medicines Initiative (IMI) COMBACTE-CARE 
Investigators:
Study Director:Pfizer CT.gov Call Center;Pfizer
Principal Investigator:Oliver Cornely;Clinical Trials Centre Cologne
DOI: 10.5061/dryad.62dk17g/3
title: Hahn_AmNat18_GardenTraits

description: This file contains plant functional trait data measured on plants growing in the common garden near Missoula, MT.
DOI: 10.25810/rxtv-eb29.5
title: German Newspaper Coverage of Climate Change or Global Warming, 2004-2018 - August 2018

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).