cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c59d4z
title: MassIVE MSV000084552 - GNPS_Daldinia_test07112019_VOX
title: Volatile compounds of endophytic Daldinia isolated from rubiaceae in costa rica
DOI: 10.5281/zenodo.3532142
title: Marzec and Cho et al_Physiol Genomics_Supplementary Tables and Figure

description: Supplemental Tables S1-S9 and Figure S1 for the manuscript by Marzec and Cho et al submitted to Physiol Genomics
DOI: 10.3886/e115385
title: Collective Efficacy and Teachers' Social Networks

description: Collective efficacy, a group’s belief in its capabilities to reach a goal, is an important organizational property repeatedly linked with student achievement. However, little scholarship specifies the antecedents of collective efficacy. To fill this gap, this study examines a potential predictor of collective efficacy: teachers’ social networks. The authors employ social network and regression analysis to explore the relationship between network density, network centralization, and collective efficacy in 20 middle school mathematics departments in two large, urban districts across 3 years. Collective efficacy had a significant relationship with density, but not centralization, when controlling for school demographics. The findings underscore the importance of network density to school improvement reforms. Policymakers need to consider policies that support the build- ing of a dense network, which could increase collective efficacy and, ultimately, student achievement.
DOI: 10.3886/e115385v1
title: Collective Efficacy and Teachers' Social Networks

description: Collective efficacy, a group’s belief in its capabilities to reach a goal, is an important organizational property repeatedly linked with student achievement. However, little scholarship specifies the antecedents of collective efficacy. To fill this gap, this study examines a potential predictor of collective efficacy: teachers’ social networks. The authors employ social network and regression analysis to explore the relationship between network density, network centralization, and collective efficacy in 20 middle school mathematics departments in two large, urban districts across 3 years. Collective efficacy had a significant relationship with density, but not centralization, when controlling for school demographics. The findings underscore the importance of network density to school improvement reforms. Policymakers need to consider policies that support the build- ing of a dense network, which could increase collective efficacy and, ultimately, student achievement.
DOI: 10.5281/zenodo.3531605
title: Flat-bed scanner images and daily growth of Scots pine (Pinus sylvestris L.) roots data in SMEAR II Hyytiälä

description: This zip-file contains (1) the daily root scanner images of three flat-bed scanners during the growing season of 2018 in SMEAR II, Hyytiälä. The images were brightness adjusted by the Authors. The images were taken between 25.04.2018-01.10.2018. The missing images for scanner 2 due to connection errors: 27.05-28.05.2018 and 04.08.2018. Missing dates for scanner 3: 29.08-02.09.2018 and 14.10.2018. (2) daily_root_growth<br> We used 'Winrhizotron 2015a' software to analyze the daily root elongation data, divided by pioneer and fibrous roots, including daily active root number, and average daily elongation rate (3) CASSIA_root<br> We estimated the growth phenology of aboveground tree organs, such as shoots, needles, buds and secondary xylem using the ‘Carbon Allocation Sink Source Interaction’ (CASSIA) model (Schiestl-Aalto et al. 2015). Simulated aboveground organs' data and our root data were combined in the same dataset. (4) surface_area<br> Root surface area increase rate ( analyzed by 'Winrhizotron 2015a' software), divided by pioneer and fibrous roots
DOI: 10.5281/zenodo.3531606
title: Flat-bed scanner images and daily growth of Scots pine (Pinus sylvestris L.) roots data in SMEAR II Hyytiälä

description: This zip-file contains (1) the daily root scanner images of three flat-bed scanners during the growing season of 2018 in SMEAR II, Hyytiälä. The images were brightness adjusted by the Authors. The images were taken between 25.04.2018-01.10.2018. The missing images for scanner 2 due to connection errors: 27.05-28.05.2018 and 04.08.2018. Missing dates for scanner 3: 29.08-02.09.2018 and 14.10.2018. (2) daily_root_growth<br> We used 'Winrhizotron 2015a' software to analyze the daily root elongation data, divided by pioneer and fibrous roots, including daily active root number, and average daily elongation rate (3) CASSIA_root<br> We estimated the growth phenology of aboveground tree organs, such as shoots, needles, buds and secondary xylem using the ‘Carbon Allocation Sink Source Interaction’ (CASSIA) model (Schiestl-Aalto et al. 2015). Simulated aboveground organs' data and our root data were combined in the same dataset. (4) surface_area<br> Root surface area increase rate ( analyzed by 'Winrhizotron 2015a' software), divided by pioneer and fibrous roots
DOI: 10.25345/c51w96
title: MassIVE MSV000084554 - Metabolomic profiles of human fecal samples in different storage conditions
title: Data was collected on a LC-MS/MS system (c-18 column) positive mode. Data analyzing storage conditions of different storage collection devices for human fecal samples.
DOI: 10.25345/c55q3f
title: MassIVE MSV000084553 - GNPS_Daldinia_test07112019_VOX-2
title: VOLATILE COMPOUNDS, RUBIACEAE ENDOPHYTIC DALDINIA FROM COSTA RICA
DOI: 10.5281/zenodo.3531703
title: M. tuberculosis bioinformatics training data

description: Inferred ancestral reference genome of <em>M. tuberculosis</em> combined with NCBI NC_000962.3 annotation in Genbank format.
DOI: 10.5281/zenodo.3531736
title: Data used in paper: Which orographic scales matter most for medium-range forecast skill in the Northern Hemisphere winter?

description: The data archived here is a set of the data used to generate the figures in the paper 'Which orographic scales matter most for medium-range forecast skill in the Northern Hemisphere winter?', by Takafumi Kanehama, Irina Sandu, Anton Beljaars, Annelize van Niekerk and Francois Lott.<br> <br> The data was generated using the European Centre for Medium-Range Weather Forecasts Integrated Forecasting System.<br> <br> For more information, please contact takafumi.kanehama@ecmwf.int.
DOI: 10.18112/openneuro.ds002303.v1.0.0
title: rewardBeast
DOI: 10.26300/m9j3-s373
title: feronia_Athaliana_x_WT_Alyrata_Rep_02
DOI: 10.5281/zenodo.3531748
title: Analysis of heritage stones and model wall paintings by pulsed laser excitation of Raman, laser-induced fluorescence and laser-induced breakdown spectroscopy signals with a hybrid system

description: Analysis of heritage stone samples, alabaster, gypsum, limestone and marble, and model wall paintings was carried out with a laboratory, hybrid system based on the pulsed laser excitation of Raman, laser-induced fluorescence and laser-induced breakdown spectroscopy signals. The system is based on a nanosecond Q-switched Nd:YAG laser operating at its second (532 nm), third (355 nm) and fourth (266 nm) harmonics and a spectrograph coupled to a time-gated intensified charge coupled device for spectral analysis allowing detection with temporal resolution. For the stone samples, Raman spectra display the characteristic vibration modes of SO<sub>4</sub><sup>2-</sup> of calcium sulfate, in alabaster and gypsum, and of free CO<sub>3</sub><sup>2- </sup>of calcium carbonate, in limestone and marble. Simultaneously acquired laser-induced fluorescence spectra reveal characteristic bands that help to distinguish between heritage stone types. The elemental composition of stone samples is obtained by laser-induced breakdown spectroscopy upon excitation at 355 nm. Spectra of all stone samples reveal their elemental composition that includes Ca, Na, Mn and Sr and the presence of molecular species, such as CN, C<sub>2</sub> and CaO. Additional emission lines, ascribed to Mg, Si, Al and K, appear with different intensities according to the nature of the stone material. Model wall paintings, based on a red pigment, prepared as fresco or mixed with two different binders, were also studied. The complementary information provided by the three spectroscopic modes allows the identification of the pigment as red vermillion and of the different preparations based on the pigment alone or in mixtures with linseed oil and egg yolk binders.
DOI: 10.5281/zenodo.3531749
title: Analysis of heritage stones and model wall paintings by pulsed laser excitation of Raman, laser-induced fluorescence and laser-induced breakdown spectroscopy signals with a hybrid system

description: Analysis of heritage stone samples, alabaster, gypsum, limestone and marble, and model wall paintings was carried out with a laboratory, hybrid system based on the pulsed laser excitation of Raman, laser-induced fluorescence and laser-induced breakdown spectroscopy signals. The system is based on a nanosecond Q-switched Nd:YAG laser operating at its second (532 nm), third (355 nm) and fourth (266 nm) harmonics and a spectrograph coupled to a time-gated intensified charge coupled device for spectral analysis allowing detection with temporal resolution. For the stone samples, Raman spectra display the characteristic vibration modes of SO<sub>4</sub><sup>2-</sup> of calcium sulfate, in alabaster and gypsum, and of free CO<sub>3</sub><sup>2- </sup>of calcium carbonate, in limestone and marble. Simultaneously acquired laser-induced fluorescence spectra reveal characteristic bands that help to distinguish between heritage stone types. The elemental composition of stone samples is obtained by laser-induced breakdown spectroscopy upon excitation at 355 nm. Spectra of all stone samples reveal their elemental composition that includes Ca, Na, Mn and Sr and the presence of molecular species, such as CN, C<sub>2</sub> and CaO. Additional emission lines, ascribed to Mg, Si, Al and K, appear with different intensities according to the nature of the stone material. Model wall paintings, based on a red pigment, prepared as fresco or mixed with two different binders, were also studied. The complementary information provided by the three spectroscopic modes allows the identification of the pigment as red vermillion and of the different preparations based on the pigment alone or in mixtures with linseed oil and egg yolk binders.
DOI: 10.5281/zenodo.1319297
title: Swiss-Energyscope calculator

description: Energyscope Calculator developed at the Swiss Federal Institute of Technology (EPFL), with additional indicators on the employment benefits of the energy transition. Together with the core of the calculator are one document and data sheet with a summary of the changes made to the structure of the National Input Output table for Switzerland, available here: https://www.bfs.admin.ch/bfs/en/home/statistics/national-economy/input-output.html and with the energy related sectors disaggregated here: https://www.aramis.admin.ch/Texte/?ProjectID=31264
description: {"references": ["https://doi.org/10.1016/j.energy.2015.06.008"]}
DOI: 10.5281/zenodo.1319298
title: Swiss-Energyscope calculator

description: Energyscope Calculator developed at the Swiss Federal Institute of Technology (EPFL), with additional indicators on the employment benefits of the energy transition. Together with the core of the calculator are one document and data sheet with a summary of the changes made to the structure of the National Input Output table for Switzerland, available here: https://www.bfs.admin.ch/bfs/en/home/statistics/national-economy/input-output.html and with the energy related sectors disaggregated here: https://www.aramis.admin.ch/Texte/?ProjectID=31264
description: {"references": ["https://doi.org/10.1016/j.energy.2015.06.008"]}
DOI: 10.17632/9hvt4sh9z4.2
title: Dataset for "Rapid evolution of regulatory element libraries for tunable transcriptional and translational control of gene expression", by Jin et al, published on Synthetic and Systems Biotechnology, 2017.

description: Here are the raw fluorescence and OD data for the promoter, RBS, terminator, and trans-activating RNA library, the sequence alignment have been published as the supporting information in the online verion of the article "Rapid evolution of regulatory element libraries for tunable transcriptional and translational control of gene expression" authored by Jin et al, with DOI link https://www.sciencedirect.com/science/article/pii/S2405805X1730087X
DOI: 10.17632/gm2kjvy2f6.2
title: AddedResistance (Windows/MAC OS)

description: AddedResistance (MAC/WIN) program was developed for added resistance estimation on head waves by the use of an MLP artificial neural network. In order to create a reliable model, only experimental data determined through model tests measurements was used to train this neural network. The following model tests results of these vessels were used in the development of this software: • Van der stel (Gerritsma and Beukelman , 1972; Journee 1976), • S175 containership (Nakamura, 1976), • Series 60 CB=0.6, CB=0.65, CB=0.7, CB=0.75, CB=0.8, Strøm-Tejsen (1973), • WILS II containership (Söding et al., 2014), DTC containership (Sprenger et al. , 2015), • Cruise ship (Ley et al., 2014), Bulk carrier (Kadomatsu, 1988), • RoPax (Sprenger et al., 2015), • KVLCC2 tanker (Guo & Steen, 2010; Sadat-Hosseini et al., 2013), • KRISO containership (Simones et al. 2014). AddedResistance program could have practical application at the preliminary design stage. But this computer program might have two limitations. Firstly, the program may be inaccurate in the design of an innovative ship. This results from the data used to train the network which was measured on standard ship hulls. Secondly, the neural network was developed using the model test data with limited parameter ranges. Therefore, AddedResistance might only be used to estimate added wave resistance for ships with the following design characteristic ranges: • length between perpendiculars LBP from 90 m to 335 m, • breadth B from 16.25 m to 58 m, • draught d from 4.2 to 20.8 m, • block coefficient CB from 0.503 to 0.829, • Froude number Fn from 0.087 to 0.3, • LBP/B ratio from 5 to 7.5, • B/d ratio from 2.5 to 4.5. The application of this computer software to calculate ship resistance with design characteristics outside these ranges might be associated with the risk of low accuracy estimations. The total mean added resistance of sailing ship in irregular waves is calculated by the use of the wave energy spectrum. A common ITTC spectrum based on Bretschneider wave energy spectrum was used here to calculate the mean added resistance in irregular wave. Lazarus IDE software (Lazarus 2.0.0, 2019) with a Free Pascal compiler was used to develop the AddedResistnace program.
DOI: 10.17632/jk9tnbpp3z.1
title: panel_gas_stations

description: We share two data sets ready to read in CVS and STATA. The first one (panel_gas.cvs / panel_gas.dta) is an incomplete panel data that contains information of daily prices of gas stations located in Spain (labelled by the variable gid) with 1,888,507 observations. Gas stations that do not sell to the public, and those located in Canary and Balearic Islands are not included. The data include information about retail prices, pre-tax retail prices, day, month and year of the data extraction. It also includes Brent prices, and the brand of the gas station. The second file (geocoordinates.cvs / geocoordinates.dta) includes a cross section with the 8,080 gas stations that provides information of the brand, the longitude and latitude coordinates for the gas station and the geocoordinatates of the Spanish refineries. Data was daily extracted from the web site of Spanish Ministry of Industry, Energy and Tourism: http://geoportalgasolineras.es The data base can be used for analyzing firms pricing behavior focusing, for example, on asymmetric pricing, cartels or vertical integration, among other topics.
DOI: 10.17876/plate/dr.3/envelopes/203_46080
title: Digital object identifier (DOI) for the envelope 46080 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46082
title: Digital object identifier (DOI) for the envelope 46082 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46085
title: Digital object identifier (DOI) for the envelope 46085 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46086
title: Digital object identifier (DOI) for the envelope 46086 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46087
title: Digital object identifier (DOI) for the envelope 46087 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46088
title: Digital object identifier (DOI) for the envelope 46088 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46091
title: Digital object identifier (DOI) for the envelope 46091 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46093
title: Digital object identifier (DOI) for the envelope 46093 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46095
title: Digital object identifier (DOI) for the envelope 46095 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46096
title: Digital object identifier (DOI) for the envelope 46096 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46098
title: Digital object identifier (DOI) for the envelope 46098 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46099
title: Digital object identifier (DOI) for the envelope 46099 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46101
title: Digital object identifier (DOI) for the envelope 46101 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46103
title: Digital object identifier (DOI) for the envelope 46103 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46106
title: Digital object identifier (DOI) for the envelope 46106 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46107
title: Digital object identifier (DOI) for the envelope 46107 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46108
title: Digital object identifier (DOI) for the envelope 46108 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46109
title: Digital object identifier (DOI) for the envelope 46109 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46111
title: Digital object identifier (DOI) for the envelope 46111 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46113
title: Digital object identifier (DOI) for the envelope 46113 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46115
title: Digital object identifier (DOI) for the envelope 46115 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46116
title: Digital object identifier (DOI) for the envelope 46116 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46118
title: Digital object identifier (DOI) for the envelope 46118 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46119
title: Digital object identifier (DOI) for the envelope 46119 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46121
title: Digital object identifier (DOI) for the envelope 46121 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46123
title: Digital object identifier (DOI) for the envelope 46123 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46125
title: Digital object identifier (DOI) for the envelope 46125 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46126
title: Digital object identifier (DOI) for the envelope 46126 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46127
title: Digital object identifier (DOI) for the envelope 46127 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46128
title: Digital object identifier (DOI) for the envelope 46128 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46131
title: Digital object identifier (DOI) for the envelope 46131 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46133
title: Digital object identifier (DOI) for the envelope 46133 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46134
title: Digital object identifier (DOI) for the envelope 46134 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46135
title: Digital object identifier (DOI) for the envelope 46135 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46136
title: Digital object identifier (DOI) for the envelope 46136 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46138
title: Digital object identifier (DOI) for the envelope 46138 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46140
title: Digital object identifier (DOI) for the envelope 46140 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46142
title: Digital object identifier (DOI) for the envelope 46142 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46143
title: Digital object identifier (DOI) for the envelope 46143 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46144
title: Digital object identifier (DOI) for the envelope 46144 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46145
title: Digital object identifier (DOI) for the envelope 46145 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46147
title: Digital object identifier (DOI) for the envelope 46147 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46150
title: Digital object identifier (DOI) for the envelope 46150 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46152
title: Digital object identifier (DOI) for the envelope 46152 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46153
title: Digital object identifier (DOI) for the envelope 46153 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46154
title: Digital object identifier (DOI) for the envelope 46154 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46156
title: Digital object identifier (DOI) for the envelope 46156 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46158
title: Digital object identifier (DOI) for the envelope 46158 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46160
title: Digital object identifier (DOI) for the envelope 46160 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46162
title: Digital object identifier (DOI) for the envelope 46162 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46164
title: Digital object identifier (DOI) for the envelope 46164 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46165
title: Digital object identifier (DOI) for the envelope 46165 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46166
title: Digital object identifier (DOI) for the envelope 46166 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46168
title: Digital object identifier (DOI) for the envelope 46168 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46171
title: Digital object identifier (DOI) for the envelope 46171 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46173
title: Digital object identifier (DOI) for the envelope 46173 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46174
title: Digital object identifier (DOI) for the envelope 46174 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/envelopes/203_46175
title: Digital object identifier (DOI) for the envelope 46175 in archive 203 from the APPLAUSE DR3