cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bztsy
title: CCDC 2174581: Experimental Crystal Structure Determination

description: Related Article: Yue Wu, Cui-Mi Shi, Shi-Rong Kang, Liang-Jin Xu|2022|Inorg.Chem.Front.|9|5008|doi:10.1039/D2QI01224C
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.cc2c1t7h
title: CCDC 2176486: Experimental Crystal Structure Determination

description: Related Article: Anuja Sharma, Sangho So, Jun-Hyeong Kim, Samantha N. MacMillan, Mu-Hyun Baik, Ryan J. Trovitch|2022|Chem.Commun.|58|10793|doi:10.1039/D2CC04089A
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.cc2c1t8j
title: CCDC 2176487: Experimental Crystal Structure Determination

description: Related Article: Anuja Sharma, Sangho So, Jun-Hyeong Kim, Samantha N. MacMillan, Mu-Hyun Baik, Ryan J. Trovitch|2022|Chem.Commun.|58|10793|doi:10.1039/D2CC04089A
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.cc2c2f30
title: CCDC 2177071: Experimental Crystal Structure Determination

description: Related Article: Pawan Kumar, Jessica Flores Gonzalez, Prem Prakash Sahu, Naushad Ahmed, Joydev Acharya, Vierandra Kumar, Olivier Cador, Fabrice Pointillart, Saurabh Kumar Singh, Vadapalli Chandrasekhar|2022|Inorg.Chem.Front.|9|5072|doi:10.1039/D2QI01260J
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.cc2c2f41
title: CCDC 2177072: Experimental Crystal Structure Determination

description: Related Article: Pawan Kumar, Jessica Flores Gonzalez, Prem Prakash Sahu, Naushad Ahmed, Joydev Acharya, Vierandra Kumar, Olivier Cador, Fabrice Pointillart, Saurabh Kumar Singh, Vadapalli Chandrasekhar|2022|Inorg.Chem.Front.|9|5072|doi:10.1039/D2QI01260J
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: 10.57745/x3pjlj
title: rpg_complete_2020_d06.zip

description: :unav
DOI: 10.57745/xqfd3p
title: rpg_complete_2020_d05.zip

description: :unav
DOI: 10.57745/vzqb7k
title: rpg_complete_2020_d83.zip

description: :unav
DOI: 10.57745/9dqrbi
title: rpg_complete_2020_d04.zip

description: :unav
DOI: 10.57745/f2jozy
title: rpg_complete_2020_d13.zip

description: :unav
DOI: 10.57745/msxcco
title: rpg_complete_2020_d84.zip

description: :unav
DOI: 10.5281/zenodo.7116280
title: Ocena możliwości retencjonowania wody na zmeliorowanych obszarach podmokłych w świetle ich zagospodarowania i współczesnych zmian klimatycznych_part 2

description: Archiwa Wody Polskie
DOI: 10.5281/zenodo.7116279
title: Ocena możliwości retencjonowania wody na zmeliorowanych obszarach podmokłych w świetle ich zagospodarowania i współczesnych zmian klimatycznych_part 2

description: Archiwa Wody Polskie
DOI: 10.6084/m9.figshare.21214307
title: Co_IP_MS_05_2022

description: Raw file of the Co-IP-MS experiment from 05.2022 from the Master Thesis of Anna Miucci.
DOI: 10.6084/m9.figshare.21214307.v3
title: Co_IP_MS_05_2022

description: Raw file of the Co-IP-MS experiment from 05.2022 from the Master Thesis of Anna Miucci.
DOI: 10.6084/m9.figshare.21214307.v4
title: Co_IP_MS_05_2022

description: Raw file of the Co-IP-MS experiment from 05.2022 from the Master Thesis of Anna Miucci.
DOI: 10.5281/zenodo.6535995
title: Thermodynamics of the metal-insulator transition in the extended Hubbard model from determinantal quantum Monte Carlo

description: \Delta\tau resolved and extrapolated data
DOI: 10.5281/zenodo.6545527
title: Thermodynamics of the metal-insulator transition in the extended Hubbard model from determinantal quantum Monte Carlo

description: This zip archive contains the DQMC data sets for the \beta resolved double<br> occupancy and internal energy (per site) obtained with the ALF Code.<br> The computations have been carried out on a square lattice at half filling for<br> the Hubbard model, the U-V model and the long-range Coulomb(LRC)-Hubbard model.<br> Every model is computed at fixed U/t=1.9. The naming convention of the csv-files is the following:<br> V0.0 = Hubbard model<br> V0.3 = U-V model with V/t=0.3<br> Vc = LRC-Hubbard model with V_C/t=0.3<br> <br> - dat_docc_{\Delta\tau}_V{x}.csv = double occupancy at \Delta\tau={0.05, 0.1, 0.2}<br> - dat_docc_{\Delta\tau}_V{x}_err.csv = corresponding statistical error<br> - dat_docc_V{x}.csv = \Delta\tau -&gt; 0 extrapolated double occupancy<br> - dat_docc_V{x}_err.csv = corresponding extrapolation error<br> - dat_energy_0.1_V{x}.csv = internal energy at fixed \Delta\tau=0.1<br> - dat_energy_0.1_V{x}_err.csv = corresponding statistical error The structure of each file is to be read column-wise:<br> \beta, L=8, L=10, L=12, L=16, L=18, L=20
DOI: 10.5281/zenodo.6545551
title: Thermodynamics of the metal-insulator transition in the extended Hubbard model from determinantal quantum Monte Carlo

description: This zip archive contains the DQMC data sets for the \beta resolved double<br> occupancy and internal energy (per site) obtained with the ALF Code.<br> The computations have been carried out on a square lattice at half filling for<br> the Hubbard model, the U-V model and the long-range Coulomb(LRC)-Hubbard model.<br> Every model is computed at fixed U/t=1.9. The naming convention of the csv-files is the following:<br> V0.0 = Hubbard model<br> V0.3 = U-V model with V/t=0.3<br> Vc = LRC-Hubbard model with V_C/t=0.3<br> <br> - dat_docc_{\Delta\tau}_V{x}.csv = double occupancy at \Delta\tau={0.05, 0.1, 0.2}<br> - dat_docc_{\Delta\tau}_V{x}_err.csv = corresponding statistical error<br> - dat_docc_V{x}.csv = \Delta\tau -&gt; 0 extrapolated double occupancy<br> - dat_docc_V{x}_err.csv = corresponding extrapolation error<br> - dat_energy_0.1_V{x}.csv = internal energy at fixed \Delta\tau=0.1<br> - dat_energy_0.1_V{x}_err.csv = corresponding statistical error The structure of each file is to be read column-wise:<br> \beta, L=8, L=10, L=12, L=16, L=18, L=20
DOI: 10.5281/zenodo.6545562
title: Thermodynamics of the metal-insulator transition in the extended Hubbard model from determinantal quantum Monte Carlo

description: This zip archive contains the DQMC data sets for the \beta resolved double<br> occupancy and internal energy (per site) obtained with the ALF Code.<br> The computations have been carried out on a square lattice at half filling for<br> the Hubbard model, the U-V model and the long-range Coulomb(LRC)-Hubbard model.<br> Every model is computed at fixed U/t=1.9. The naming convention of the csv-files is the following:<br> V0.0 = Hubbard model<br> V0.3 = U-V model with V/t=0.3<br> Vc = LRC-Hubbard model with V_C/t=0.3<br> <br> - dat_docc_{\Delta\tau}_V{x}.csv = double occupancy at \Delta\tau={0.05, 0.1, 0.2}<br> - dat_docc_{\Delta\tau}_V{x}_err.csv = corresponding statistical error<br> - dat_docc_V{x}.csv = \Delta\tau -&gt; 0 extrapolated double occupancy<br> - dat_docc_V{x}_err.csv = corresponding extrapolation error<br> - dat_energy_0.1_V{x}.csv = internal energy at fixed \Delta\tau=0.1<br> - dat_energy_0.1_V{x}_err.csv = corresponding statistical error The structure of each file is to be read column-wise:<br> \beta, L=8, L=10, L=12, L=16, L=18, L=20
DOI: 10.5281/zenodo.6535994
title: Thermodynamics of the metal-insulator transition in the extended Hubbard model from determinantal quantum Monte Carlo

description: This zip archive contains the DQMC data sets for the \beta=1/T resolved double<br> occupancy, internal energy per site, antiferromagnetic structure factor and<br> charge density wave structure factor obtained with the ALF Code.<br> The computations have been carried out on a square lattice at half filling for<br> the Hubbard model, the U-V model and the long-range Coulomb(LRC)-Hubbard model.<br> Every model is computed at fixed U/t=1.9. The naming convention of the csv-files is the following:<br> V0.0 = Hubbard model<br> V0.x = U-V model with V/t=0.x<br> Vcx.x = LRC-Hubbard model with V_C/t=x.x<br> <br> - dat_docc_{\Delta\tau}_V{x}.csv = double occupancy at \Delta\tau={0.05, 0.1, 0.2}<br> - dat_docc_{\Delta\tau}_V{x}_err.csv = corresponding statistical error<br> - dat_energy_0.1_V{x}.csv = internal energy at \Delta\tau=0.1<br> - dat_energy_0.1_V{x}_err.csv = corresponding statistical error<br> - dat_saf_0.1_V{x}.csv = antiferromagnetic structure factor at \Delta\tau=0.1<br> - dat_saf_0.1_V{x}_err.csv = corresponding statistical error<br> - dat_scdw_0.1_V{x}.csv = charge density wave structure factor at \Delta\tau=0.1<br> - dat_scdw_0.1_V{x}_err.csv = corresponding statistical error The structure of each file is to be read column-wise:<br> \beta, L=8, L=10, L=12, L=16, L=18, L=20
DOI: 10.5281/zenodo.7116380
title: Thermodynamics of the metal-insulator transition in the extended Hubbard model from determinantal quantum Monte Carlo

description: This zip archive contains the DQMC data sets for the \beta=1/T resolved double<br> occupancy, internal energy per site, antiferromagnetic structure factor and<br> charge density wave structure factor obtained with the ALF Code.<br> The computations have been carried out on a square lattice at half filling for<br> the Hubbard model, the U-V model and the long-range Coulomb(LRC)-Hubbard model.<br> Every model is computed at fixed U/t=1.9. The naming convention of the csv-files is the following:<br> V0.0 = Hubbard model<br> V0.x = U-V model with V/t=0.x<br> Vcx.x = LRC-Hubbard model with V_C/t=x.x<br> <br> - dat_docc_{\Delta\tau}_V{x}.csv = double occupancy at \Delta\tau={0.05, 0.1, 0.2}<br> - dat_docc_{\Delta\tau}_V{x}_err.csv = corresponding statistical error<br> - dat_energy_0.1_V{x}.csv = internal energy at \Delta\tau=0.1<br> - dat_energy_0.1_V{x}_err.csv = corresponding statistical error<br> - dat_saf_0.1_V{x}.csv = antiferromagnetic structure factor at \Delta\tau=0.1<br> - dat_saf_0.1_V{x}_err.csv = corresponding statistical error<br> - dat_scdw_0.1_V{x}.csv = charge density wave structure factor at \Delta\tau=0.1<br> - dat_scdw_0.1_V{x}_err.csv = corresponding statistical error The structure of each file is to be read column-wise:<br> \beta, L=8, L=10, L=12, L=16, L=18, L=20
DOI: 10.6084/m9.figshare.21215114
title: Puncak Jaya Herbarium specimen datasets

description: Specimen data for multiple collecting trips along the Mount Jaya elevation gradient.
DOI: 10.5283/epub.52951
title: GMR20H05-Gal4 x Cas9gFoxP
DOI: 10.6084/m9.figshare.21215030.v1
title: data

description: Scientific and practical identification and analysis of the differences in the spatial structure of metropolitan areas are of great significance to the long-term development of metropolitan areas and urban agglomerations. Because the current research focuses more on the external spatial structure of the metropolitan area and less on the internal spatial differences, this study is based on remote sensing data, POI data, and road vector data combined with a spatial clustering algorithm with location constraints. Multi-level analysis of spatial clustering and differences within the circle. Theresearch results show that compared with the traditional algorithm, spatial clustering with location constraints can identify the group structure within the metropolitan area to a large extent. At the same time, the single-factor and multi- factorclustering results show that the Changsha-Zhuzhou-Xiangtan metropolitan area currently has large internal spatial differences; Except for Changsha, Zhuzhou, and Xiangtan core urban areas, no apparent cluster structure has been formed. This study can well reflect the current heterogeneity of the internal spatial structure of the Chang-Zhu-Tan metropolitan area and provide a solid reference for the future developmentof the metropolitan area
DOI: 10.6084/m9.figshare.21215129
title: Species origins from Yap et al.

description: Species origins as assigned by Yap et al. J. Biogeography 2018.
DOI: 10.17632/7vg78fv65g.1
title: Muntele Rosu MLR Geomagnetic data of INCDFP

description: The location (45.4909o latitude N, 25.945o longitude E) of Muntele Rosu geomagnetic observatory was picked by Dr. Dumitru Enescu (https://ro.wikipedia.org/wiki/Dumitru_Enescu ) in such a way as to ensure an optimum positioning with respect to Vrancea seismic area [1]. Moreover, this site was so chosen as to be distant from rail-roads and any other sources of noise in order to avoid disturbing signals. The geomagnetic observatory consists of: 
-one three-axis magnetic field sensor (fluxgate; ±70 μT measuring range), produced by “Bartington Instruments” MAG03 (UK) (1996-2019);
-two three-axis magnetic field sensor (fluxgate; ±70 μT measuring range), produced by “Bartington Instruments” MAG03 (UK) (2019-2022);
- a data logger-acquisition module (six channels, 24 bytes resolution, sample rate programmable), produced also by “Bartington Instruments”; 
- a router for data transmission;
- a computer for data storage and preliminary processing.

The three-axis magnetic field sensor is low-noise type, which accounts for superior characteristics, namely: a band larger than the 2 kHz standard, actually upwards of 3 kHz; a
15 pT rms/√Hz noise and a lower-than-standard phase error. The parameters of the data logger-acquisition module are controlled by a software programme assuring a sample rate
of 5 seconds and displays the average values at every 60 seconds. 
Special shelters were provided for the equipment and special work was carried out to place the electric sensors and layout quite a length of cable connecting the various components of the observatory. The magnetic equipment is placed in a specially designed, vibration-proof, nonmagnetic, thermostatic tunnel.
Since 1996 until 2000, the recorded data were not continuous. After 2000, the data become more stable, and the periods with no data become smaller. In 2019, we have added a new magnetometer in the same place for some tests[2] and [3].

The structure of archived files is as follows:

There are hourly data files for each day – MLRm6_yymmdd_HH, where HH = 00 - 23
The time format is: data - time, y - year, m - month, d - day, H - hour, M - minute, S - seconds, u - tenths of a second.

The structure of a hourly file is:
M0x 		M0y 		M0z 		M1x 		M1y 		M1z 	       Time Date
OFF  		ON  		OFF 		OFF 		ON 		OFF 
22540.4	1667.764	44535.31	21610.73	1269.825	33914.63              21/01/0100:00:00

Where:
Mox, y and z and M1x, y and z are the geomagnetic components on the two magnetometers installed in Muntele Rosu observatory.
ON and OFF is the status of the representation of the data in GEOBS application: http://geobs.infp.ro/
The data are also graphical represented, using GRAFANA, on the PHENOMENAL PORTAL.

References
[1] B. D. Enescu, D. Enescu, and A. P. Constantin, The use of electromagnetic data for short-term prediction of Vrancea (Romania) earthquakes: Preliminary data, Earth Planets Space, 51, 1099–1117, 1999.
DOI: 10.17632/8gczwsy26v.1
title: Reversal of mitochondrial malate dehydrogenase 2 enables anaplerosis via redox rescue in respiration-deficient cells

description: Raw images of the exposed uncropped western blot presented in Supplementary Figures 1c, 3b, and 6a.
DOI: 10.17632/594nwzz47x.1
title: weight control chart 

description: Data are BW measurements of 2, 9, and 14.5-month-old sampled heifers born during the years 2017 to 2019 provided by a commercial dairy farm in Córdoba province. These data were used to build control charts to monitor mean and process variability. Every sample mean or deviation outside the control limits imply a potentially identifiable cause has occurred and the producer should explore the event causing the deviation and make appropriate changes according to the age of the heifers. Control charts provide the producer and consultant with graphical information and quick alarms to support the decision-making process in the replacement program. These tools are useful at the farm level to monitor heifer growth and support management decisions.
DOI: 10.17632/594nwzz47x.2
title: weight control chart 

description: Data are BW measurements of 2, 9, and 14.5-month-old sampled heifers born during the years 2017 to 2019 provided by a commercial dairy farm in Córdoba province. These data were used to build control charts to monitor mean and process variability. Every sample mean or deviation outside the control limits imply a potentially identifiable cause has occurred and the producer should explore the event causing the deviation and make appropriate changes according to the age of the heifers. Control charts provide the producer and consultant with graphical information and quick alarms to support the decision-making process in the replacement program. These tools are useful at the farm level to monitor heifer growth and support management decisions.
DOI: 10.17632/594nwzz47x.3
title: weight control chart 

description: Excel spreadsheets templates in "empiric.xls" are from the Quality Digest website at www.qualitydigest.com/pdfs/empiric.xls (Levinson and Tumbelty, 1997).
Data in "weight.xlsx" are BW measurements of 2, 9, and 14.5-month-old sampled heifers born during the years 2017 to 2019 provided by a commercial dairy farm in Córdoba province. These data were used to build control charts to monitor mean and process variability. Every sample mean or deviation outside the control limits imply a potentially identifiable cause has occurred and the producer should explore the event causing the deviation and make appropriate changes according to the age of the heifers. Control charts provide the producer and consultant with graphical information and quick alarms to support the decision-making process in the replacement program. These tools are useful at the farm level to monitor heifer growth and support management decisions.
DOI: 10.5283/epub.52952
title: GMR52B10 x tetoxG/Kir
DOI: 10.5283/epub.52955
title: GMR64H04 x tetoxG/Kir
DOI: 10.17632/98hr2ptg22.1
title: Data for: "(Non)Monetary Behaviors: How Morality and Status Shape Consumers’ Perceptions About Sustainable Actions" published by RAC-Revista de Administração Contemporânea

description: Dataset and data dictionary regarding studies 1 and 2 reported in the paper: (Non)Monetary Behaviors: How Morality and Status Shape Consumers’ Perceptions About Sustainable Actions.
DOI: 10.17632/bgxgny7swm.2
title: Supplementary Files for 'An Extended In silico Modeling Method' Integrating Homology, Threading and Dynamics to Devise Quality Protein Structures

description: The dataset contains python scripts pertaining to modeling using MODELLER along with simulation parameter files and commands for executing molecular dynamics simulation of protein in aqueous environment.
DOI: 10.17632/bgxgny7swm.1
title: Supplementary Files for 'An Extended In silico Modeling Method' Integrating Homology, Threading and Dynamics to Devise Quality Protein Structures

description: A combination of homology modeling, threading and molecular dynamics was employed to predict the BAG3 protein structure. Unavailability of suitable templates to model the entire structure evoked us to model it using a novel extended modeling method. The 3-D structure prediction was primarily performed with I-TASSER and RaptorX servers using their default parameters. The best models were chosen from the server outputs based on integrated C-scores, B-factors, and low Root Mean Square (RMSD) values. These models were then used as templates to model the final structure of BAG3 using standalone python-based software MODELLER 10.0. This model-building procedure is identical to NMR spectroscopy-based structure elucidation. The modeled BAG3 was further refined through the GalaxyRefine server that improved the clash scores, poor rotamers, percentage Ramachandran outliers, and percentage bad side-chain rotamers. Finally, 2000 steps each of the steepest descent and conjugate gradient were performed in Swiss PDB viewer (SPDBV) using GROMOS96 force-field in-vacuo to optimise the modeled structure.
DOI: 10.17632/bgxgny7swm.3
title: Supplementary Files for 'An Extended In silico Modeling Method' Integrating Homology, Threading and Dynamics to Devise Quality Protein Structures

description: The dataset contains python scripts pertaining to modeling using MODELLER along with simulation parameter files and commands for executing molecular dynamics simulation of protein in aqueous environment.
DOI: 10.17632/gsch5fzg27.1
title: Quasi-projective synchronization analysis of delayed Caputo-type BAM neural networks in the complex field

description: Numerical simulation code and figure file for the paper entitled Quasi-projective synchronization analysis of delayed Caputo-type BAM neural networks in the complex field.
DOI: 10.17632/3dvt79c7yt.1
title: Hudson Wieland Review

description: Single-cell RNA-seq and flow cytometry analysis for Figs. 2, 3, and 5 of Hudson and Wieland, Cancer Cell doi: 10.1016/j.ccell.2022.09.011.
DOI: 10.6084/m9.figshare.21215135
title: Species origins from Brambach et al.

description: Species origins assigned by Brambach et al. 2020. J. Biogeography.