cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19980110.v2
title: Raw data of saltwater intrusion weakens Fe-(oxyhydr)oxide-mediated (im)mobilization of Ni and Zn in redox-fluctuating soil–groundwater system.xlsx

description: <strong>Fig. 1</strong>. Comparison of the dynamics of Eh (a) and the release of Ni (b), Zn (c), and Fe (d) in DWS (control experiment), PWS (without saltwater intrusion), BWS (with low-salinity intrusion), and SWS (with high-salinity intrusion) during the RED-REOX process. <strong>Fig. 2</strong>. Principal coordinate analysis (PCoA) with Jaccard dissimilarity of the microbial community in the soil at RED-20 (a). Relative abundance of the top 20 bacterial genera in the soil microbial communities at RED-20 (b). <strong>Fig. 3.</strong> Comparison of the species transformation of F1-Ni (a), F2-Ni (b), F1-Zn (c), F2-Zn (d) in DWS (control experiment), PWS (without saltwater intrusion), BWS (with low-salinity intrusion), and SWS (with high-salinity intrusion) during the RED-REOX process. The line and “+” within the box represent the median and mean values of all data. The bottom and top edges of the box represent 25% (lower quartile) and 75% (upper quartile) of all data, respectively. The bottom and top bars represent minimal and maximal values, respectively. *<em>P</em>&lt;0.05, **<em>P</em>&lt;0.01, and ***<em>P</em>&lt;0.001; ns = no significant difference; paired t-test was performed for RED (n=12) versus REOX (n=8). F1 is the weak acid-extractable fraction, and F2 is the reducible fraction. <strong>Fig. 4. </strong>Dynamics of Feo/Fed ratio (a), and the difference of Feo/Fed ratio (b) in DWS (control experiment), PWS (without saltwater intrusion), BWS (with low-salinity intrusion), and SWS (with high-salinity intrusion) during the RED-REOX process. The line and “+” within the box represent the median and mean values of all data. The bottom and top edges of the box represent 25% (lower quartile) and 75% (upper quartile) of all data, respectively. The bottom and top bars represent minimal and maximal values, respectively. *<em>P</em>&lt;0.05, **<em>P</em>&lt;0.01, and ***<em>P</em>&lt;0.001; ns = no significant difference; paired t-test was performed for RED (n=12) versus REOX (n=8). Feo/Fed is the ratio of poorly crystalline iron oxide (Feo) to crystalline iron oxide (Fed). <strong>Fig. 5. </strong>Species distribution of Ni (a) and Zn (b) as obtained by the linear combination fitting analysis of Ni K-edge XANES and Zn K-edge XANES spectra in the Ni and Zn hotspots. Schematic diagrams of Ni/Zn species transformation driven by PW (c). Schematic diagrams of Ni/Zn species transformation driven by SW intrusion (d). <br>
DOI: 10.5281/zenodo.6781510
title: Data from 666 earthquake/tsunami scenario simulations targeting Nankai subduction

description: <strong>Summary: </strong> Data from 666 earthquake/tsunami scenario simulations targeting Nankai subduction Tsunami simulation solver: TUNAMI-N2 Fault rupture model: Okada model(Okada, 1985) Each scenario data consists of 71 ASCII files containing the simulated wave sequences at the synthetic gauges Each single scenario is tagged as "Nankai-XYZE", where XYZW would be the number from <strong>0003</strong> to <strong>1470</strong>. Some of the synthetic gauges are located based on the real ocean gauge points (e.g., DONET2, NOPHAS) nearby Shikoku region, Japan. <strong>Details of each file:</strong> <strong>wave_sequenses.tar.gz</strong>: A series of wave sequences (4-hour wave history-data, recorded every 5 seconds) at 71 synthetic gauges are provided in ascii type format. <br> Note that <strong>5.8GB additional storage would be required</strong> to fully unzip this archive file with the following command. <pre><code>tar xzvf wave_sequences.tar.gz</code></pre> You can get all scenario data as follows: <pre><code>wave_sequences ├ Nankai-0003 ├ Nankai-0004 ├… ├ Nankai-1467 └ Nankai-1470 </code></pre> Each directory contains the 71 files, head with 'pntX_Y.asc', <pre><code>Nankai-0003 ├ pnt1_01.asc ├ pnt1_02.asc ├... ├ pnt5_46.asc └ pnt5_47.asc</code></pre> which contains the wave sequence data. The ASCII file, the time (minute) elapsed from the fault rupture is aligned in the left column, and the wave displacements \eta (meter) from the original surface location are in the right column. <strong>quake_params.csv</strong>: The parameter used to generate 666 earthquake scenarios caused by the rupture of rectangular fault, by means of Okada model. (Okada 1985) <strong>synthetic_gauges.csv</strong>: The locations of 71 synthetic gauges are recorded.
description: {"references": ["Okada, Yoshimitsu. \"Surface deformation due to shear and tensile faults in a half-space.\" Bulletin of the seismological society of America 75.4 (1985): 1135-1154."]}
DOI: 10.6084/m9.figshare.20206393.v1
title: Additional file 2 of Placenta-derived proteins across gestation in healthy pregnancies—a novel approach to assess placental function?

description: Additional file 2: Table S3. Complete overview of test results for all proteins, including placenta-derived proteins and placenta-specific released proteins.
DOI: 10.6084/m9.figshare.20206396
title: Additional file 3 of Placenta-derived proteins across gestation in healthy pregnancies—a novel approach to assess placental function?

description: Additional file 3: Table S4. Table of all enrichment results using placenta-specific released proteins.
DOI: 10.6084/m9.figshare.20206396.v1
title: Additional file 3 of Placenta-derived proteins across gestation in healthy pregnancies—a novel approach to assess placental function?

description: Additional file 3: Table S4. Table of all enrichment results using placenta-specific released proteins.
DOI: 10.6084/m9.figshare.20206393
title: Additional file 2 of Placenta-derived proteins across gestation in healthy pregnancies—a novel approach to assess placental function?

description: Additional file 2: Table S3. Complete overview of test results for all proteins, including placenta-derived proteins and placenta-specific released proteins.
DOI: 10.5517/ccdc.csd.cc2b9pcq
title: CCDC 2154263: Experimental Crystal Structure Determination

description: Related Article: Youssef Draoui, Smaail Radi, Amine Tanan, Afaf Oulmidi, Haralampos N. Miras, Redouane Benabbes, Sabir Ouahhoudo, Samira Mamri, Aurelian Rotaru, Yann Garcia|2022|RSC Advances|12|17755|doi:10.1039/D2RA03414J
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.cc2b9pdr
title: CCDC 2154264: Experimental Crystal Structure Determination

description: Related Article: Youssef Draoui, Smaail Radi, Amine Tanan, Afaf Oulmidi, Haralampos N. Miras, Redouane Benabbes, Sabir Ouahhoudo, Samira Mamri, Aurelian Rotaru, Yann Garcia|2022|RSC Advances|12|17755|doi:10.1039/D2RA03414J
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.cc2bd3ql
title: CCDC 2156599: Experimental Crystal Structure Determination

description: Related Article: Qi Yang, Tingting Liu, Jiwen Tan, Liyang Zhu, Qian Liu, Suliang Yang, Guoxin Tian|2022|Inorg.Chem.|61|9381|doi:10.1021/acs.inorgchem.2c00808
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.cc2bfd06
title: CCDC 2157817: Experimental Crystal Structure Determination

description: Related Article: Chaofan Sun, Ju-You Lu, Jian Lu|2022|Inorg.Chem.|61|9623|doi:10.1021/acs.inorgchem.2c00993
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.cc2bgbgm
title: CCDC 2158730: Experimental Crystal Structure Determination

description: Related Article: Przemysaw Biegański, Eduard Kovalski, Noel Israel, Evgenia Dmitrieva, Damian Trzybiński, Krzysztof Woźniak, Valerije Vrček, Martina Godel, Chiara Riganti, Joanna Kopecka, Heinrich Lang, Konrad Kowalski|2022|Inorg.Chem.|61|9650|doi:10.1021/acs.inorgchem.2c01110
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.cc2bgbhn
title: CCDC 2158731: Experimental Crystal Structure Determination

description: Related Article: Przemysaw Biegański, Eduard Kovalski, Noel Israel, Evgenia Dmitrieva, Damian Trzybiński, Krzysztof Woźniak, Valerije Vrček, Martina Godel, Chiara Riganti, Joanna Kopecka, Heinrich Lang, Konrad Kowalski|2022|Inorg.Chem.|61|9650|doi:10.1021/acs.inorgchem.2c01110
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.cc2bgbjp
title: CCDC 2158732: Experimental Crystal Structure Determination

description: Related Article: Przemysaw Biegański, Eduard Kovalski, Noel Israel, Evgenia Dmitrieva, Damian Trzybiński, Krzysztof Woźniak, Valerije Vrček, Martina Godel, Chiara Riganti, Joanna Kopecka, Heinrich Lang, Konrad Kowalski|2022|Inorg.Chem.|61|9650|doi:10.1021/acs.inorgchem.2c01110
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.cc2bh3ts
title: CCDC 2159485: Experimental Crystal Structure Determination

description: Related Article: Adam H. Slavney, Hong Ki Kim, Songsheng Tao, Mengtan Liu, Simon J. L. Billinge, Jarad A. Mason|2022|J.Am.Chem.Soc.|144|11064|doi:10.1021/jacs.2c02918
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.cc2bh477
title: CCDC 2159498: Experimental Crystal Structure Determination

description: Related Article: Adam H. Slavney, Hong Ki Kim, Songsheng Tao, Mengtan Liu, Simon J. L. Billinge, Jarad A. Mason|2022|J.Am.Chem.Soc.|144|11064|doi:10.1021/jacs.2c02918
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.cc2bh4gg
title: CCDC 2159505: Experimental Crystal Structure Determination

description: Related Article: Eranga H. Gamage, Saeed Kamali, Judith K. Clark, Yongbin Lee, Philip Yox, Padraic Shafer, Alexander A. Yaroslavtsev, Liqin Ke, Michael Shatruk, Kirill Kovnir|2022|J.Am.Chem.Soc.|144|11283|doi:10.1021/jacs.2c02936
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.cc2bhc3b
title: CCDC 2159711: Experimental Crystal Structure Determination

description: Related Article: Adam H. Slavney, Hong Ki Kim, Songsheng Tao, Mengtan Liu, Simon J. L. Billinge, Jarad A. Mason|2022|J.Am.Chem.Soc.|144|11064|doi:10.1021/jacs.2c02918
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.cc2bnx1z
title: CCDC 2165041: Experimental Crystal Structure Determination

description: Related Article: Maruti Mali, Gangavaram V. M. Sharma, Subhash Ghosh, Thierry Roisnel, Bertrand Carboni, Fabienne Berrée|2022|J.Org.Chem.|87|7649|doi:10.1021/acs.joc.2c00152
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.cc2bqmxm
title: CCDC 2166711: Experimental Crystal Structure Determination

description: Related Article: Jake M. Aquilina, Myles W. Smith|2022|J.Am.Chem.Soc.|144|11088|doi:10.1021/jacs.2c04487
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.cc2bqmyn
title: CCDC 2166712: Experimental Crystal Structure Determination

description: Related Article: Jake M. Aquilina, Myles W. Smith|2022|J.Am.Chem.Soc.|144|11088|doi:10.1021/jacs.2c04487
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.cc2bqmzp
title: CCDC 2166713: Experimental Crystal Structure Determination

description: Related Article: Jake M. Aquilina, Myles W. Smith|2022|J.Am.Chem.Soc.|144|11088|doi:10.1021/jacs.2c04487
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: 10.6084/m9.figshare.14742648.v1
title: No-tillage and global soil organic carbon stock

description: <b>No-tillage reduces soil carbon storage, but a longer duration can alleviate the initial decline</b><br>
DOI: 10.6084/m9.figshare.14742648
title: No-tillage and global soil organic carbon stock

description: <b>No-tillage reduces soil carbon storage, but a longer duration can alleviate the initial decline</b><br>
DOI: 10.6084/m9.figshare.14742648.v3
title: No-tillage and global soil organic carbon stock

description: <b>No-tillage reduces soil carbon storage, but a longer duration can alleviate the initial decline</b><br>
DOI: 10.6084/m9.figshare.14742648.v2
title: No-tillage and global soil organic carbon stock

description: <b>No-tillage reduces soil carbon storage, but a longer duration can alleviate the initial decline</b><br>
DOI: 10.6084/m9.figshare.20206382
title: Pluto-A synthetic benchmark for Extract Method Refactoring

description: Pluto is a benchmark created for the purpose of a preliminary analysis of approaches for Identifying Extract Method Refactorings. <br> Named after (Planet) Pluto. More details about the dataset can be found in 'read me'. List of methods with refactoring opportunities can be found in file 'EMO List.ods'
DOI: 10.6084/m9.figshare.20206382.v1
title: Pluto-A synthetic benchmark for Extract Method Refactoring

description: Pluto is a benchmark created for the purpose of a preliminary analysis of approaches for Identifying Extract Method Refactorings. <br> Named after (Planet) Pluto. More details about the dataset can be found in 'read me'. List of methods with refactoring opportunities can be found in file 'EMO List.ods'
DOI: 10.5281/zenodo.6668497
title: Raw data: High-throughput screening of soybean di-nitrogen fixation and seed nitrogen content using spectral sensing

description: Symbiotic di-nitrogen fixation of grain legumes has a substantial impact on crop performance, harvest product quality, and nitrogen (N) balance of crop rotations, particularly under organic management regimes. In soybean breeding, selection for increased nitrogen fixation is desirable for improving seed protein content and N balance of cropping systems. However, the lack of high-throughput screening methods for direct measurement of N 2 fixation rates prohibits practical breeding efforts. Therefore, hyperspectral canopy reflectance measurement as a field-based phenotyping method was evaluated in three environments for indirect estimation of N fixation and uptake of soil nitrogen in a set of early maturity soybean genotypes exhibiting a wide range in seed protein content. Reflectance spectra were collected in repeated measurements during flowering and early seed filling stages. Subsequently, various spectral reflectance indices (SRIs) were calculated for characterizing nitrogen accumulation of individual genotypes. Moreover, prediction models for seed protein content as an end-of-season target trait were developed utilizing full spectral information in partial-least-square regression (PLSR) models. A number of N-related SRIs calculated from spectral reflectance data recorded at the beginning of the seed filling stage were significantly correlated to seed protein content. The best prediction of seed protein content, however, was achieved in PLSR models (validation R 2 =0.805 across all three environments). Environments lower in initial soil mineral N content appeared as more favorable selection sites in terms of prediction accuracy, because N fixation is not masked by soil N uptake in such environments. Hyperspectral reflectance data proved to be a valuable method for determining genetic variation in crop N accumulation, which might be implemented in high-throughput screening protocols for N fixation in plant breeding programs.
DOI: 10.5281/zenodo.6668496
title: Raw data: High-throughput screening of soybean di-nitrogen fixation and seed nitrogen content using spectral sensing

description: Symbiotic di-nitrogen fixation of grain legumes has a substantial impact on crop performance, harvest product quality, and nitrogen (N) balance of crop rotations, particularly under organic management regimes. In soybean breeding, selection for increased nitrogen fixation is desirable for improving seed protein content and N balance of cropping systems. However, the lack of high-throughput screening methods for direct measurement of N 2 fixation rates prohibits practical breeding efforts. Therefore, hyperspectral canopy reflectance measurement as a field-based phenotyping method was evaluated in three environments for indirect estimation of N fixation and uptake of soil nitrogen in a set of early maturity soybean genotypes exhibiting a wide range in seed protein content. Reflectance spectra were collected in repeated measurements during flowering and early seed filling stages. Subsequently, various spectral reflectance indices (SRIs) were calculated for characterizing nitrogen accumulation of individual genotypes. Moreover, prediction models for seed protein content as an end-of-season target trait were developed utilizing full spectral information in partial-least-square regression (PLSR) models. A number of N-related SRIs calculated from spectral reflectance data recorded at the beginning of the seed filling stage were significantly correlated to seed protein content. The best prediction of seed protein content, however, was achieved in PLSR models (validation R 2 =0.805 across all three environments). Environments lower in initial soil mineral N content appeared as more favorable selection sites in terms of prediction accuracy, because N fixation is not masked by soil N uptake in such environments. Hyperspectral reflectance data proved to be a valuable method for determining genetic variation in crop N accumulation, which might be implemented in high-throughput screening protocols for N fixation in plant breeding programs.