cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25921/4yd8-qx88
title: NOAA-Navy-SanctSound_SB01_01_OL_1h
DOI: 10.25921/xkx4-4755
title: NOAA-Navy-SanctSound_SB01_01_PSD_1h
DOI: 10.25921/5q3b-mv70
title: NOAA-Navy-SanctSound_SB01_01_TOL_1h
DOI: 10.25921/xkaq-d734
title: NOAA-Navy-SanctSound_SB01_02_BB_1h
DOI: 10.25921/qxgh-hq03
title: NOAA-Navy-SanctSound_SB01_02_OL_1h
DOI: 10.25921/xzya-f505
title: NOAA-Navy-SanctSound_SB01_02_PSD_1h
DOI: 10.25921/r40h-c047
title: NOAA-Navy-SanctSound_SB01_02_TOL_1h
DOI: 10.25921/aq1g-bv46
title: NOAA-Navy-SanctSound_SB01_03_BB_1h
DOI: 10.25921/bb4y-dt10
title: NOAA-Navy-SanctSound_SB01_03_OL_1h
DOI: 10.25921/n8f1-tp09
title: NOAA-Navy-SanctSound_SB01_03_PSD_1h
DOI: 10.25921/wak8-2c73
title: NOAA-Navy-SanctSound_SB01_03_TOL_1h
DOI: 10.25921/1thz-g107
title: NOAA-Navy-SanctSound_SB01_04_BB_1h
DOI: 10.25921/rnf6-d879
title: NOAA-Navy-SanctSound_SB01_04_OL_1h
DOI: 10.25921/8qwe-6146
title: NOAA-Navy-SanctSound_SB01_04_PSD_1h
DOI: 10.25921/37tg-vg42
title: NOAA-Navy-SanctSound_SB01_04_TOL_1h
DOI: 10.25921/ecja-hd72
title: NOAA-Navy-SanctSound_SB01_05_BB_1h
DOI: 10.25921/va36-b154
title: NOAA-Navy-SanctSound_SB01_05_OL_1h
DOI: 10.25921/rhqz-wm04
title: NOAA-Navy-SanctSound_SB01_05_PSD_1h
DOI: 10.25921/s530-2z35
title: NOAA-Navy-SanctSound_SB01_05_TOL_1h
DOI: 10.25921/2vqk-hg85
title: NOAA-Navy-SanctSound_SB02_01_BB_1h
DOI: 10.25921/63bc-h687
title: NOAA-Navy-SanctSound_SB02_01_OL_1h
DOI: 10.25921/8n7j-3h92
title: NOAA-Navy-SanctSound_SB02_01_PSD_1h
DOI: 10.25921/d4wx-0z26
title: NOAA-Navy-SanctSound_SB02_01_TOL_1h
DOI: 10.25921/yeqq-te48
title: NOAA-Navy-SanctSound_SB02_02_BB_1h
DOI: 10.25921/2fc2-dr08
title: NOAA-Navy-SanctSound_SB02_02_OL_1h
DOI: 10.25921/02jc-zg43
title: NOAA-Navy-SanctSound_SB02_02_PSD_1h
DOI: 10.25921/ywr7-3b03
title: NOAA-Navy-SanctSound_SB02_02_TOL_1h
DOI: 10.25921/6r7v-4463
title: NOAA-Navy-SanctSound_SB02_03_BB_1h
DOI: 10.25921/46b9-7s52
title: NOAA-Navy-SanctSound_SB02_03_OL_1h
DOI: 10.25921/vmbz-6w50
title: NOAA-Navy-SanctSound_SB02_03_PSD_1h
DOI: 10.25921/8dyt-ey57
title: NOAA-Navy-SanctSound_SB02_03_TOL_1h
DOI: 10.25921/jmzh-ft61
title: NOAA-Navy-SanctSound_SB02_04_BB_1h
DOI: 10.26093/cds/vizier.51210870
title: BVI photometry of Variables in M33

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'DIRECT distances to nearby galaxies using detached eclipsing binaries and Cepheids. VI. Variables in the central part of M33.' (bibcode: 2001AJ....121..870M)
DOI: 10.25921/v699-tj25
title: NOAA-Navy-SanctSound_SB02_04_OL_1h
DOI: 10.25921/ttm6-jz13
title: NOAA-Navy-SanctSound_SB02_04_PSD_1h
DOI: 10.25921/8dam-h333
title: NOAA-Navy-SanctSound_SB02_04_TOL_1h
DOI: 10.26093/cds/vizier.51630275
title: Theia 456; a stellar stream in the Milky Way disk

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'A Young, Low-density Stellar Stream in the Milky Way Disk; Theia 456.' (bibcode: 2022AJ....163..275A)
DOI: 10.26093/cds/vizier.51630281
title: Radial velocity, transit & occultation of WASP-4

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Characterizing the WASP-4 System with TESS and Radial Velocity Data; Constraints on the Cause of the Hot Jupiter's Changing Orbit and Evidence of an Outer Planet.' (bibcode: 2022AJ....163..281T)
DOI: 10.25921/gse0-zw59
title: NOAA-Navy-SanctSound_SB02_05_BB_1h
DOI: 10.25921/84k7-0e21
title: NOAA-Navy-SanctSound_SB02_05_OL_1h
DOI: 10.25921/sxsm-kg38
title: NOAA-Navy-SanctSound_SB02_05_PSD_1h
DOI: 10.25921/n4z9-mr25
title: NOAA-Navy-SanctSound_SB02_05_TOL_1h
DOI: 10.25921/s76n-xp14
title: NOAA-Navy-SanctSound_SB03_01_BB_1h
DOI: 10.25921/deqr-a489
title: NOAA-Navy-SanctSound_SB03_01_OL_1h
DOI: 10.25921/pgyd-r935
title: NOAA-Navy-SanctSound_SB03_01_PSD_1h
DOI: 10.25921/v5am-xb85
title: NOAA-Navy-SanctSound_SB03_01_TOL_1h
DOI: 10.25921/0s8v-d472
title: NOAA-Navy-SanctSound_SB03_02_BB_1h
DOI: 10.25921/wspt-e298
title: NOAA-Navy-SanctSound_SB03_02_OL_1h
DOI: 10.25921/5j91-gb14
title: NOAA-Navy-SanctSound_SB03_02_PSD_1h
DOI: 10.25921/hq2d-0n53
title: NOAA-Navy-SanctSound_SB03_02_TOL_1h
DOI: 10.25921/32st-p441
title: NOAA-Navy-SanctSound_SB03_03_BB_1h
DOI: 10.25921/za1h-mz47
title: NOAA-Navy-SanctSound_SB03_03_OL_1h
DOI: 10.25921/2zmw-n482
title: NOAA-Navy-SanctSound_SB03_03_PSD_1h
DOI: 10.6084/m9.figshare.21482721.v1
title: FACS-pdf

description: FACS data of male and female RBC hitchhiking
DOI: 10.25921/6tbh-x154
title: NOAA-Navy-SanctSound_SB03_03_TOL_1h
DOI: 10.6084/m9.figshare.21482721
title: FACS-pdf

description: FACS data of male and female RBC hitchhiking
DOI: 10.25921/wt7e-zh22
title: NOAA-Navy-SanctSound_SB03_04_BB_1h
DOI: 10.26093/cds/vizier.19110012
title: HST opt-NIR obs. of Cepheids in NGC5584

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Inspecting the Cepheid distance ladder: the Hubble Space Telescope distance to the SN Ia host galaxy NGC 5584.' (bibcode: 2021ApJ...911...12J)
DOI: 10.25921/4x7f-jb55
title: NOAA-Navy-SanctSound_SB03_04_OL_1h
DOI: 10.26093/cds/vizier.19370068
title: Superwinds. III. Non-equilibrium Photoionization

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Catastrophic Cooling in Superwinds. III. Nonequilibrium Photoionization.' (bibcode: 2022ApJ...937...68D)
DOI: 10.25921/rgrz-ev41
title: NOAA-Navy-SanctSound_SB03_04_PSD_1h
DOI: 10.25921/9m4y-yz32
title: NOAA-Navy-SanctSound_SB03_04_TOL_1h
DOI: 10.25921/qxvr-t123
title: NOAA-Navy-SanctSound_SB03_05_BB_1h
DOI: 10.25921/983r-ze54
title: NOAA-Navy-SanctSound_SB03_05_OL_1h
DOI: 10.25921/qh1g-9m57
title: NOAA-Navy-SanctSound_SB03_05_PSD_1h
DOI: 10.25921/a5q4-nt23
title: NOAA-Navy-SanctSound_SB03_05_TOL_1h
DOI: 10.25921/cdxs-rt17
title: NOAA-Navy-SanctSound_Sound_Propagation_Models
DOI: 10.26093/cds/vizier.22610032
title: Finding GPQs. II. Sp. observations of |b|&lt;20{deg} QSOs

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'Finding quasars behind the Galactic plane. II. Spectroscopic identifications of 204 quasars at |b|&lt;20{deg}.' (bibcode: 2022ApJS..261...32F)
DOI: 10.5519/qd.16pg4boz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (185 records)
DOI: 10.3886/e182708
title: Efficacy Study of Foundations, School-wide Positive Discipline for Middle Schools

description: The Foundations program is a schoolwide intervention for promoting positive discipline policies. Foundations provides tools and strategies to help K–12 school staff establish proactive, nonpunitive school-wide discipline policies, manage student misbehavior, foster student motivation, and create a positive and productive school climate. SRI Education, in partnership with Safe & Civil Schools, conducted a large-scale randomized study in 42 middle schools across multiple school districts in three states. SRI evaluated the impact of Foundations on student and staff perceptions of school climate, students’ behavior and academic performance, and direct observations of common areas in the school such as hallways and the cafeteria. <br><br>
DOI: 10.3886/e182708v1
title: Efficacy Study of Foundations, School-wide Positive Discipline for Middle Schools

description: The Foundations program is a schoolwide intervention for promoting positive discipline policies. Foundations provides tools and strategies to help K–12 school staff establish proactive, nonpunitive school-wide discipline policies, manage student misbehavior, foster student motivation, and create a positive and productive school climate. SRI Education, in partnership with Safe & Civil Schools, conducted a large-scale randomized study in 42 middle schools across multiple school districts in three states. SRI evaluated the impact of Foundations on student and staff perceptions of school climate, students’ behavior and academic performance, and direct observations of common areas in the school such as hallways and the cafeteria. <br><br>
DOI: 10.5517/ccdc.csd.cc28kykc
title: CCDC 2102623: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Chen, Hai-Feng Su, La-Sheng Long, Lan-Sun Zheng, Xiang-Jian Kong|2021|Inorg.Chem.|60|16922|doi:10.1021/acs.inorgchem.1c03019
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.cc28kymf
title: CCDC 2102625: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Chen, Hai-Feng Su, La-Sheng Long, Lan-Sun Zheng, Xiang-Jian Kong|2021|Inorg.Chem.|60|16922|doi:10.1021/acs.inorgchem.1c03019
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.cc28kyph
title: CCDC 2102627: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Chen, Hai-Feng Su, La-Sheng Long, Lan-Sun Zheng, Xiang-Jian Kong|2021|Inorg.Chem.|60|16922|doi:10.1021/acs.inorgchem.1c03019
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.cc2c7p9m
title: CCDC 2182130: Experimental Crystal Structure Determination

description: Related Article: Vladimir Sharutin, Olga Sharutina, Ekaterina Artem'eva, Marina Makerova|2014|Yuzhno-Ural'skii Gosudarst. Univ.Vestn. Ser.Khim.|6|5-2|
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.cc2c7pbn
title: CCDC 2182131: Experimental Crystal Structure Determination

description: Related Article: Vladimir Sharutin, Olga Sharutina, Ekaterina Artem'eva, Marina Makerova|2014|Yuzhno-Ural'skii Gosudarst. Univ.Vestn. Ser.Khim.|6|5-2|
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.cc2c8mt3
title: CCDC 2183045: Experimental Crystal Structure Determination

description: Related Article: Kaito Ooka, Keisuke Nakanishi, Yutaro Udagawa, Yoshiyasu Ichikawa, Seijiro Hosokawa|2022|Org.Biomol.Chem.|20|8236|doi:10.1039/D2OB00486K
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.cc2cb844
title: CCDC 2184605: Experimental Crystal Structure Determination

description: Related Article: Zhi Chen, Yu-Fan Li, Shun-Zhong Tan, Qin Ouyang, Zhi-Chao Chen, Wei Du, Ying-Chun Chen|2022|Chemical Science|13|12433|doi:10.1039/D2SC05210E
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: 10.5281/zenodo.7275083
title: Data set for reliability-based lift-to-power consumption optimization with an accelerated Kriging model for clapping-wing micro air vehicles

description: Procedures of the reliability-based lift-to-power consumption optimization with an accelerated Kriging model Step 1: Run the file “LHS.m” to generate initial samples. Step 2: Modify the aerodynamic model according to initial samples (e.g. flapping1_Def.xml, flapping1.bat), and then run the “.bat file” to obtain the original force data. Step 3: Run the file “Kriging.m” to obtain the average lift using a filter. Step 4: Run the file “FW_2.m”, “FW_3.m” to obtain sub-optimal-result. Step 5: Find the new training sample and obtain the eigenvalue of the new training sample. Step 6: Rerun the file “FW_2.m”, “FW_3.m” to obtain sub-optimal-result by reloading the new “.mat” files (e.g. FW_2_41.mat, FW_2_P_20.mat). Step 7: Go to Step 4 until the convergence criteria are satisfied. Step 8: Obtain the optimal result. PS: Other files are function files.
DOI: 10.5281/zenodo.7275084
title: Data set for reliability-based lift-to-power consumption optimization with an accelerated Kriging model for clapping-wing micro air vehicles

description: Procedures of the reliability-based lift-to-power consumption optimization with an accelerated Kriging model Step 1: Run the file “LHS.m” to generate initial samples. Step 2: Modify the aerodynamic model according to initial samples (e.g. flapping1_Def.xml, flapping1.bat), and then run the “.bat file” to obtain the original force data. Step 3: Run the file “Kriging.m” to obtain the average lift using a filter. Step 4: Run the file “FW_2.m”, “FW_3.m” to obtain sub-optimal-result. Step 5: Find the new training sample and obtain the eigenvalue of the new training sample. Step 6: Rerun the file “FW_2.m”, “FW_3.m” to obtain sub-optimal-result by reloading the new “.mat” files (e.g. FW_2_41.mat, FW_2_P_20.mat). Step 7: Go to Step 4 until the convergence criteria are satisfied. Step 8: Obtain the optimal result. PS: Other files are function files.
DOI: 10.5281/zenodo.7275122
title: Data set for reliability-based lift-to-power consumption optimization with an accelerated Kriging model for clapping-wing micro air vehicles

description: Procedures of the reliability-based lift-to-power consumption optimization with an accelerated Kriging model Step 1: Run the file “LHS.m” to generate initial samples. Step 2: Modify the aerodynamic model according to initial samples (e.g. flapping1_Def.xml, flapping1.bat), and then run the “.bat file” to obtain the original force data. Step 3: Run the file “Kriging.m” to obtain the average lift using a filter. Step 4: Run the file “FW_2.m”, “FW_3.m” to obtain sub-optimal-result. Step 5: Find the new training sample and obtain the eigenvalue of the new training sample. Step 6: Rerun the file “FW_2.m”, “FW_3.m” to obtain sub-optimal-result by reloading the new “.mat” files (e.g. FW_2_41.mat, FW_2_P_20.mat). Step 7: Go to Step 4 until the convergence criteria are satisfied. Step 8: Obtain the optimal result. PS: Other files are function files.
DOI: 10.5281/zenodo.7275128
title: Clinical questions in primary care: where to find the answers - a cross-sectional study

description: Dataset for the study "Clinical questions in primary care: where to find the answers - a cross-sectional study".
DOI: 10.5281/zenodo.7275127
title: Clinical questions in primary care: where to find the answers - a cross-sectional study

description: Dataset for the study "Clinical questions in primary care: where to find the answers - a cross-sectional study".
DOI: 10.25921/0rjr-zp13
title: NOAA-Navy-SanctSound_CI02_01_TOL_1h
DOI: 10.26186/147364
title: Southeast Tasmania and Southern Macquarie Ridge Bathymetry (20000001S)

description: The Southeast Tasmania and Southern Macquarie Ridge Bathymetry dataset was acquired by the Australian Geological Survey Organisation (AGSO) (Geoscience Australia predecessor) during the AUSTREA-2 marine survey undertaken from 15 January - 9 February 2000 onboard the French Oceanographic and Geoscience Research Vessel N/O L'Atalante using a Simrad EM12D multibeam sonar system. The survey was completed as part of the work to map the foot-of-slope position to support definition of Australia's legal Continental Shelf under the United Nations Convention on the Law of the Sea. This dataset contains 120m-, 160m-, 250m-, 280m-, 300m-, 360m- and 440m-resolution 32-bit floating point GeoTIFF files of the bathymetry in the survey area, derived from the processed EM12D bathymetry data, using CARIS HIPS and SIPS software. This dataset is not to be used for navigational purposes.
DOI: 10.21227/n57x-2y91
title: CRAWDAD crowd_temperature

description: Outdoor temperature data collected by taxis in Rome, Italy.  This dataset is to be used in conjunction with the roma/taxi dataset and provides the outdoor temperature of the areas in Rome where the taxis were located (289 taxicabs over 4 days). date/time of measurement start: 2014-02-01 date/time of measurement end: 2014-02-04 collection environment: We simulate taxicabs as if they were equipped with temperature sensors attached to their vehicles. The city of Rome is divided into 9 areas and temperate readings were gathered from a weather service, allowing us to simulate each taxicab sending its sensed temperature to a central server every 6 hours for each area. limitation: The original dataset is the CRAWDAD roma/taxi dataset that comprises the position of each taxicab using GPS. This dataset adds the outdoor temperature of the areas that taxicabs visit during their services. Tracesetqueensu/crowd_temperature/temperature Simulated outdoor temperature data collected by taxis in Rome, Italy.file: queensu-crowd_temperature.tar.gzmeasurement purpose: Opportunistic Connectivitymethodology: We generate a temperature value for every active taxicab by applying Gaussian distribution. To fill out the parameters of Gaussian function, we need to assign the mean mu; and standard deviation sigma; for every run. Therefore, we assign a ground truth temperature mu; for every period in every grid on every day. We use data from The Weather Network (http://www.theweathernetwork.com/) to assign the right ground truth to the right period and grid. For every taxicab, we assign a fixed error range sigma; that remains the same in all of its contributions. To do so, we randomly classify participant taxicabs into three classes. First class, called "honest", consists of taxicabs that usually sense accurate temperature within a 10% error range from the ground truth. The population of honest class is 145 taxicabs (50% of all participant taxicabs). Second class, called "dishonest", consists of taxicabs that usually sense inaccurate temperature within a 30% error range from the ground truth. The population of the dishonest class is 72 taxicabs (25%). Third class, called "misleading", consists of the rest of the participant taxicabs that is 72 (25%) that usually sense either accurate or inaccurate temperature. The data generator function makes a random decision of generating accurate or inaccurate temperature for each taxicab among the misleading class. The latter class plays a major role in the results of applying the data on a system, such as participants reputation system, since the accuracy of their contributions is not even. As a result, each taxicab has a sensed temperature contribution based on its fixed error range and the ground truth of the day, period and grid of its location.
DOI: 10.22002/7fjj0-47n58
title: CliMA Land global simulations archive

description: CliMA Land model simulation results (version A6 based on GM1 and WD1), see here for details about the tag. These data will be made available through GriddingMachine when the paper is officially accepted.

a6-gm1-wd1-YYYY-1X-1D.c3.rpar.nc: Daily mean for C3 plants using regular PAR definition
a6-gm1-wd1-YYYY-1X-8D.c3.rpar.nc: 8-daily mean
a6-gm1-wd1-YYYY-1X-1M.c3.rpar.nc: Monthly mean
a6-gm1-wd1-YYYY-1X-1Y.c3.rpar.nc: Annual mean
DOI: 10.18120/hq9w-z035
title: Dabi subproject test
DOI: 10.5517/ccdc.csd.cc27jxj7
title: CCDC 2071839: Experimental Crystal Structure Determination

description: Related Article: Lei Yang, Weidong Shang, Li Zhang, Xia Zhang|2022|Org.Lett.|24|7763|doi:10.1021/acs.orglett.2c03090
description: Related Article: Lei Yang, Dawen Niu|2021|CSD Communication|||
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.cc28svpm
title: CCDC 2109261: Experimental Crystal Structure Determination

description: Related Article: Rui-Xue Yang, Shan-Shan Gong, Li-Li Chen, Xiao-Chong Peng, Xiu-Li You, Rongwei Shi, Qi Sun|2022|Dyes Pigm.|208|110849|doi:10.1016/j.dyepig.2022.110849
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.cc28svqn
title: CCDC 2109262: Experimental Crystal Structure Determination

description: Related Article: Rui-Xue Yang, Shan-Shan Gong, Li-Li Chen, Xiao-Chong Peng, Xiu-Li You, Rongwei Shi, Qi Sun|2022|Dyes Pigm.|208|110849|doi:10.1016/j.dyepig.2022.110849
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.cc29jb7f
title: CCDC 2130854: Experimental Crystal Structure Determination

description: Related Article: XU yunnan|2021|CSD Communication|||
description: Related Article: Yunnan Xu, Yicong Luo, Jianxun Ye, Yu Deng, Delong Liu, Wanbin Zhang|2022|J.Am.Chem.Soc.|144|20078|doi:10.1021/jacs.2c09266
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.21430203
title: Results of TAC determination based on WB, VAMS and CMIA methods and HCT levels in renal transplant paediatric recipients

description: In file the results of TAC concentration measurement in pediatric renal transplant recipients have been presented. The data base was created based on LC-MS-MS tacrolimus determination in whole blood (WB), VAMS (volumetric absorbtive microsampling) and additionally results of TAC determination in routinely used CMIA method (Chemiluminescent Microparticle Immunoassay). Additionally blinded data base contain the haematocit level for each patient [n=50].