cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7025493
title: Data and code from "Water availability is a stronger driver of soil microbial processing of organic nitrogen than tree species composition"

description: #### Data description<br> Data from large scale, long-term tree diversity experiment in southwestern France (ORPHEE), additionally manipulating water contraint. Variables presented are soil nitrogen cycling rates measured using isotope pool dilutions. Companion paper is found here: Maxwell TL, Augusto L, Tian Y, Wanek W & Fanin N (2023). Water availability is a stronger driver of soil microbial processing of organic nitrogen than tree species composition. <em>European Journal of Soil Science</em>. https://doi.org/10.1111/ejss.13350 #### Metadata<br> Soil sampling: July 2020<br> Maxwell_ShortComm_Data.csv data description ID: unique identifier per sample<br> Block: numbered 1-6. Blocks 1,3,6 are control (unirrigated), Blocks, 2,4,5 are irrigated<br> Plot: numbered plot according to the ORPHEE design. Plot 1 = BP, Plot 5 = PP, Plot 9 = BP_PP<br> Espece: species ID. BP = pure birch (<em>Betula pendula</em>), PP = pure pine (<em>Pinus pinaster</em>), BP_PP (50% mixed birch-pine)<br> Rep: sample replicate, 3 replicates per plot<br> Sample name: long unique identifier per sample. Concatenation of Block, Plot, and Espece<br> PD: gross protein depolymerization rates (micrograms nitrogen per grams dry soil per day = µg N g-1 d-1)<br> AAU: gross free amino acid uptake rates (µg N g-1 d-1)<br> Cmicrobial_ug_g: microbial biomass carbon (µg C g-1)<br> Nmicrobial_ug_g: microbial biomass nitrogen (µg N g-1)<br> MRT_FAA_hrs: mean residence time of free amino acids (hours)<br> FAA_ugN_g: free amino acids (µg N g-1)<br> Moisture_percent: soil moisture percent (%)<br> N_nonfumige_ug_g: nitrogen from non fumigated soils, i.e. extractable N (µg N g-1)<br> C_nonfumige_ug_g: nitrogen from non fumigated soils, i.e. extractableC (µg C g-1)
DOI: 10.5281/zenodo.7025492
title: Data and code from "Water availability is a stronger driver of soil microbial processing of organic nitrogen than tree species composition"

description: #### Data description<br> Data from large scale, long-term tree diversity experiment in southwestern France (ORPHEE), additionally manipulating water contraint. Variables presented are soil nitrogen cycling rates measured using isotope pool dilutions. Companion paper is found here: Maxwell TL, Augusto L, Tian Y, Wanek W & Fanin N (2023). Water availability is a stronger driver of soil microbial processing of organic nitrogen than tree species composition. <em>European Journal of Soil Science</em>. https://doi.org/10.1111/ejss.13350 #### Metadata<br> Soil sampling: July 2020<br> Maxwell_ShortComm_Data.csv data description ID: unique identifier per sample<br> Block: numbered 1-6. Blocks 1,3,6 are control (unirrigated), Blocks, 2,4,5 are irrigated<br> Plot: numbered plot according to the ORPHEE design. Plot 1 = BP, Plot 5 = PP, Plot 9 = BP_PP<br> Espece: species ID. BP = pure birch (<em>Betula pendula</em>), PP = pure pine (<em>Pinus pinaster</em>), BP_PP (50% mixed birch-pine)<br> Rep: sample replicate, 3 replicates per plot<br> Sample name: long unique identifier per sample. Concatenation of Block, Plot, and Espece<br> PD: gross protein depolymerization rates (micrograms nitrogen per grams dry soil per day = µg N g-1 d-1)<br> AAU: gross free amino acid uptake rates (µg N g-1 d-1)<br> Cmicrobial_ug_g: microbial biomass carbon (µg C g-1)<br> Nmicrobial_ug_g: microbial biomass nitrogen (µg N g-1)<br> MRT_FAA_hrs: mean residence time of free amino acids (hours)<br> FAA_ugN_g: free amino acids (µg N g-1)<br> Moisture_percent: soil moisture percent (%)<br> N_nonfumige_ug_g: nitrogen from non fumigated soils, i.e. extractable N (µg N g-1)<br> C_nonfumige_ug_g: nitrogen from non fumigated soils, i.e. extractableC (µg C g-1)
DOI: 10.5281/zenodo.7628387
title: Dynamical simulation of EBSD master pattern of austenite

description: Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of austenite (<em>Fm\(\bar{3}\)m</em>, <em>a</em> = 3.595 Å). The master pattern was simulated with EMsoft v5.0. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 10 to 20 kV with an increment of 1 kV. The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands: <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/austenite_mc_mp_20kv.h5") s.plot()</code></pre> The PNG file shows the stereographic projection of the upper hemisphere of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: austenite.xtal), EMMCOpenCL (input: austenite.xtal, mcopencl.nml; output: austenite_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, austenite_mc_mp_20kv.h5; output: added to existing austenite_mc_mp_20kv.h5).
description: The master pattern was simulated while Håkon Wiik Ånes received financial support from the Norwegian University of Science and Technology (NTNU) through the NTNU Aluminium Product Innovation Centre (NAPIC).
DOI: 10.5281/zenodo.7628386
title: Dynamical simulation of EBSD master pattern of austenite

description: Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of austenite (<em>Fm\(\bar{3}\)m</em>, <em>a</em> = 3.595 Å). The master pattern was simulated with EMsoft v5.0. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 10 to 20 kV with an increment of 1 kV. The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands: <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/austenite_mc_mp_20kv.h5") s.plot()</code></pre> The PNG file shows the stereographic projection of the upper hemisphere of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: austenite.xtal), EMMCOpenCL (input: austenite.xtal, mcopencl.nml; output: austenite_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, austenite_mc_mp_20kv.h5; output: added to existing austenite_mc_mp_20kv.h5).
description: The master pattern was simulated while Håkon Wiik Ånes received financial support from the Norwegian University of Science and Technology (NTNU) through the NTNU Aluminium Product Innovation Centre (NAPIC).
DOI: 10.5281/zenodo.7628394
title: Dynamical simulation of EBSD master pattern of ferrite

description: Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of ferrite (<em>Fd\(\bar{3}\)m</em>, <em>a</em> = 2.8665 Å). The master pattern was simulated with EMsoft v5.0. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 5 to 20 kV with an increment of 1 kV. The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands: <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/ferrite_mc_mp_20kv.h5") s.plot()</code></pre> The PNG file shows the stereographic projection of the upper hemisphere of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: ferrite.xtal), EMMCOpenCL (input: ferrite.xtal, mcopencl.nml; output: ferrite_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, ferrite_mc_mp_20kv.h5; output: added to existing ferrite_mc_mp_20kv.h5).
description: The master pattern was simulated while Håkon Wiik Ånes received financial support from the Norwegian University of Science and Technology (NTNU) through the NTNU Aluminium Product Innovation Centre (NAPIC).
DOI: 10.5281/zenodo.7628393
title: Dynamical simulation of EBSD master pattern of ferrite

description: Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of ferrite (<em>Fd\(\bar{3}\)m</em>, <em>a</em> = 2.8665 Å). The master pattern was simulated with EMsoft v5.0. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 5 to 20 kV with an increment of 1 kV. The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands: <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/ferrite_mc_mp_20kv.h5") s.plot()</code></pre> The PNG file shows the stereographic projection of the upper hemisphere of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: ferrite.xtal), EMMCOpenCL (input: ferrite.xtal, mcopencl.nml; output: ferrite_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, ferrite_mc_mp_20kv.h5; output: added to existing ferrite_mc_mp_20kv.h5).
description: The master pattern was simulated while Håkon Wiik Ånes received financial support from the Norwegian University of Science and Technology (NTNU) through the NTNU Aluminium Product Innovation Centre (NAPIC).
DOI: 10.48366/r287928
title: Comparison of private and public green procurement literature reviews

description: This comparison shows the similarities and differences between literature reviews in private and public green procurement. The comparison is created as part of the paper titled "A Next-Generation Digital Procurement Workspace Focusing on Information Integration, Automation, Analytics, and Sustainability".
DOI: 10.48366/r287929
title: Comparison of private and public green procurement literature reviews

description: This comparison shows the similarities and differences between literature reviews in private and public green procurement. The comparison is created as part of the paper titled "A Next-Generation Digital Procurement Workspace Focusing on Information Integration, Automation, Analytics, and Sustainability".
DOI: 10.22003/xfel.eu-data-700003-00
title: SCS example data
DOI: 10.5281/zenodo.7628417
title: Dynamical simulation of EBSD master pattern of chi-phase in steel

description: Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of a chi-phase (Fe<sub>36</sub>Cr<sub>15</sub>Mo<sub>7</sub>) in steel (<em>I\(\bar{4}\)3m</em>, <em>a</em> = 8.854 Å) (see Kasper [1954], doi:10.1016/0001-6160(54)90066-8). The master pattern was simulated with EMsoft v5.0. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 10 to 20 kV with an increment of 1 kV. The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands: <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/steel_chi_mc_mp_20kv.h5") s.plot()</code></pre> The PNG files show the stereographic projection of the upper and lower hemispheres of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: steel_chi.xtal), EMMCOpenCL (input: steel_chi.xtal, mcopencl.nml; output: steel_chi_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, steel_chi_mc_mp_20kv.h5; output: added to existing steel_chi_mc_mp_20kv.h5).
description: The master pattern was simulated while Håkon Wiik Ånes received financial support from the Norwegian University of Science and Technology (NTNU) through the NTNU Aluminium Product Innovation Centre (NAPIC).
DOI: 10.5281/zenodo.7628416
title: Dynamical simulation of EBSD master pattern of chi-phase in steel

description: Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of a chi-phase (Fe<sub>36</sub>Cr<sub>15</sub>Mo<sub>7</sub>) in steel (<em>I\(\bar{4}\)3m</em>, <em>a</em> = 8.854 Å) (see Kasper [1954], doi:10.1016/0001-6160(54)90066-8). The master pattern was simulated with EMsoft v5.0. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 10 to 20 kV with an increment of 1 kV. The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands: <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/steel_chi_mc_mp_20kv.h5") s.plot()</code></pre> The PNG files show the stereographic projection of the upper and lower hemispheres of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: steel_chi.xtal), EMMCOpenCL (input: steel_chi.xtal, mcopencl.nml; output: steel_chi_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, steel_chi_mc_mp_20kv.h5; output: added to existing steel_chi_mc_mp_20kv.h5).
description: The master pattern was simulated while Håkon Wiik Ånes received financial support from the Norwegian University of Science and Technology (NTNU) through the NTNU Aluminium Product Innovation Centre (NAPIC).
DOI: 10.34740/kaggle/dsv/4975957
title: YouTube Daily
DOI: 10.5281/zenodo.7628422
title: Raw Data for the article: Risk factors for bile leakage after liver resection for neoplastic disease

description: Biliary leakage (BL) remains the most frequent and feared complication after hepatoresective surgery. Placement of the abdominal drainage at the end of liver surgery remains controversial due to the delicate balance between risks and potential benefits in case of BL. The study was aimed to detect possible risk factors for BL occurrence after liver surgery. We enrolled all oncologic patients who underwent liver resection from June 2016 to March 2021. BL was diagnosed according to the ISGLS definition. We have examined demographic characteristics of the patients, type of neoplasia, presence of cirrhosis, neoadjuvant chemotherapy and type of intervention. Uni- and multivariable analyses were performed to assess the predictive value of potential predictor of BL. A total of 379 patients were enrolled in the study, 16 (4.2%) of which developed BL. Among others, at univariate analysis the occurrence of BL was found to be associated with bilio-digestive anastomosis (OR: 9.75, C.I. 2.7-34.7, p &lt; 0.001) and neoadjuvant chemotherapy (OR: 0.09, C.I 0.01,-0.88, p = 0.039). Multivariable analysis selected the body mass index (OR: 1.21, 95%C.I.: 1.04-1.41, p = 0.015), anatomical resection (OR: 8.35, 95% C.I.: 2.01-34.74, p = 0.004), and blood loss (OR: 1.09, 95%C.I.: 1.05-1.13, p &lt; 0.001). Identification of patients at greater risk of BL can help in the choice of positioning the drainage at the end of liver surgery.
DOI: 10.5281/zenodo.7628421
title: Raw Data for the article: Risk factors for bile leakage after liver resection for neoplastic disease

description: Biliary leakage (BL) remains the most frequent and feared complication after hepatoresective surgery. Placement of the abdominal drainage at the end of liver surgery remains controversial due to the delicate balance between risks and potential benefits in case of BL. The study was aimed to detect possible risk factors for BL occurrence after liver surgery. We enrolled all oncologic patients who underwent liver resection from June 2016 to March 2021. BL was diagnosed according to the ISGLS definition. We have examined demographic characteristics of the patients, type of neoplasia, presence of cirrhosis, neoadjuvant chemotherapy and type of intervention. Uni- and multivariable analyses were performed to assess the predictive value of potential predictor of BL. A total of 379 patients were enrolled in the study, 16 (4.2%) of which developed BL. Among others, at univariate analysis the occurrence of BL was found to be associated with bilio-digestive anastomosis (OR: 9.75, C.I. 2.7-34.7, p &lt; 0.001) and neoadjuvant chemotherapy (OR: 0.09, C.I 0.01,-0.88, p = 0.039). Multivariable analysis selected the body mass index (OR: 1.21, 95%C.I.: 1.04-1.41, p = 0.015), anatomical resection (OR: 8.35, 95% C.I.: 2.01-34.74, p = 0.004), and blood loss (OR: 1.09, 95%C.I.: 1.05-1.13, p &lt; 0.001). Identification of patients at greater risk of BL can help in the choice of positioning the drainage at the end of liver surgery.
DOI: 10.5519/qd.9fhjv5kt
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (239 records)
DOI: 10.5281/zenodo.7628443
title: Dynamical simulation of EBSD master pattern of a sigma-phase in steel

description: Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of a sigma-phase (FeCr) in steel (<em>P4<sub>2</sub>/mmm</em>, <em>a</em> = 8.7961 Å, <em>c</em> = 4.5605 Å) (see Yakel [1983], doi:10.1107/S0108768183001974). The master pattern was simulated with EMsoft v5.0. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 5 to 20 kV with an increment of 1 kV. The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands: <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/steel_sigma_mc_mp_20kv.h5") s.plot()</code></pre> The PNG file shows the stereographic projection of the upper hemisphere of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: steel_sigma.xtal), EMMCOpenCL (input: steel_sigma.xtal, mcopencl.nml; output: steel_sigma_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, steel_sigma_mc_mp_20kv.h5; output: added to existing steel_sigma_mc_mp_20kv.h5).
description: The master pattern was simulated while Håkon Wiik Ånes received financial support from the Norwegian University of Science and Technology (NTNU) through the NTNU Aluminium Product Innovation Centre (NAPIC).
DOI: 10.5281/zenodo.7628442
title: Dynamical simulation of EBSD master pattern of a sigma-phase in steel

description: Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of a sigma-phase (FeCr) in steel (<em>P4<sub>2</sub>/mmm</em>, <em>a</em> = 8.7961 Å, <em>c</em> = 4.5605 Å) (see Yakel [1983], doi:10.1107/S0108768183001974). The master pattern was simulated with EMsoft v5.0. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 5 to 20 kV with an increment of 1 kV. The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands: <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/steel_sigma_mc_mp_20kv.h5") s.plot()</code></pre> The PNG file shows the stereographic projection of the upper hemisphere of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: steel_sigma.xtal), EMMCOpenCL (input: steel_sigma.xtal, mcopencl.nml; output: steel_sigma_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, steel_sigma_mc_mp_20kv.h5; output: added to existing steel_sigma_mc_mp_20kv.h5).
description: The master pattern was simulated while Håkon Wiik Ånes received financial support from the Norwegian University of Science and Technology (NTNU) through the NTNU Aluminium Product Innovation Centre (NAPIC).
DOI: 10.5517/ccdc.csd.cc2d4rfr
title: CCDC 2209104: Experimental Crystal Structure Determination

description: Related Article: Rafa Petrus, Adrian Kowaliński, Józef Utko, Karolina Matuszak, Tadeusz Lis, Piotr Sobota|2023|Inorg.Chem.|62|2197|doi:10.1021/acs.inorgchem.2c03872
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d4rgs
title: CCDC 2209105: Experimental Crystal Structure Determination

description: Related Article: Rafa Petrus, Adrian Kowaliński, Józef Utko, Karolina Matuszak, Tadeusz Lis, Piotr Sobota|2023|Inorg.Chem.|62|2197|doi:10.1021/acs.inorgchem.2c03872
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d4rht
title: CCDC 2209106: Experimental Crystal Structure Determination

description: Related Article: Rafa Petrus, Adrian Kowaliński, Józef Utko, Karolina Matuszak, Tadeusz Lis, Piotr Sobota|2023|Inorg.Chem.|62|2197|doi:10.1021/acs.inorgchem.2c03872
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.