cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2gjvsn
title: CCDC 2280322: Experimental Crystal Structure Determination

description: Related Article: Jieqiong Hou, Wentao Huang, Junqi Lin, Zhijun Ruan, Shanshan Liu, Yanmei Chen, Wenwen Dong|2024|J.Mol.Struct.|1306|137866|doi:10.1016/j.molstruc.2024.137866
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.cc2gjvtp
title: CCDC 2280323: Experimental Crystal Structure Determination

description: Related Article: Jieqiong Hou, Wentao Huang, Junqi Lin, Zhijun Ruan, Shanshan Liu, Yanmei Chen, Wenwen Dong|2024|J.Mol.Struct.|1306|137866|doi:10.1016/j.molstruc.2024.137866
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.cc2gjvvq
title: CCDC 2280324: Experimental Crystal Structure Determination

description: Related Article: Jieqiong Hou, Wentao Huang, Junqi Lin, Zhijun Ruan, Shanshan Liu, Yanmei Chen, Wenwen Dong|2024|J.Mol.Struct.|1306|137866|doi:10.1016/j.molstruc.2024.137866
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.cc2gjvwr
title: CCDC 2280325: Experimental Crystal Structure Determination

description: Related Article: Jieqiong Hou, Wentao Huang, Junqi Lin, Zhijun Ruan, Shanshan Liu, Yanmei Chen, Wenwen Dong|2024|J.Mol.Struct.|1306|137866|doi:10.1016/j.molstruc.2024.137866
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.cc2h6js1
title: CCDC 2300193: Experimental Crystal Structure Determination

description: Related Article: Sumera Zaib, Rubina Munir, Imtiaz Khan, Noman Javid, Rahila Huma, Uzma Mustafa, Nehal Rana, Christopher John McAdam, Colleen Hui Shiuan Yeow, Jonathan M. White, Tuncer Hökelek, Khalid M. Alotaibi, Matar Alshalwi, Antonio Frontera|2024|J.Mol.Struct.|1306|137840|doi:10.1016/j.molstruc.2024.137840
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.cc2h6jt2
title: CCDC 2300194: Experimental Crystal Structure Determination

description: Related Article: Sumera Zaib, Rubina Munir, Imtiaz Khan, Noman Javid, Rahila Huma, Uzma Mustafa, Nehal Rana, Christopher John McAdam, Colleen Hui Shiuan Yeow, Jonathan M. White, Tuncer Hökelek, Khalid M. Alotaibi, Matar Alshalwi, Antonio Frontera|2024|J.Mol.Struct.|1306|137840|doi:10.1016/j.molstruc.2024.137840
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.cc2h6jv3
title: CCDC 2300195: Experimental Crystal Structure Determination

description: Related Article: Sumera Zaib, Rubina Munir, Imtiaz Khan, Noman Javid, Rahila Huma, Uzma Mustafa, Nehal Rana, Christopher John McAdam, Colleen Hui Shiuan Yeow, Jonathan M. White, Tuncer Hökelek, Khalid M. Alotaibi, Matar Alshalwi, Antonio Frontera|2024|J.Mol.Struct.|1306|137840|doi:10.1016/j.molstruc.2024.137840
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.cc2h6jw4
title: CCDC 2300196: Experimental Crystal Structure Determination

description: Related Article: Sumera Zaib, Rubina Munir, Imtiaz Khan, Noman Javid, Rahila Huma, Uzma Mustafa, Nehal Rana, Christopher John McAdam, Colleen Hui Shiuan Yeow, Jonathan M. White, Tuncer Hökelek, Khalid M. Alotaibi, Matar Alshalwi, Antonio Frontera|2024|J.Mol.Struct.|1306|137840|doi:10.1016/j.molstruc.2024.137840
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.cc2h6jx5
title: CCDC 2300197: Experimental Crystal Structure Determination

description: Related Article: Sumera Zaib, Rubina Munir, Imtiaz Khan, Noman Javid, Rahila Huma, Uzma Mustafa, Nehal Rana, Christopher John McAdam, Colleen Hui Shiuan Yeow, Jonathan M. White, Tuncer Hökelek, Khalid M. Alotaibi, Matar Alshalwi, Antonio Frontera|2024|J.Mol.Struct.|1306|137840|doi:10.1016/j.molstruc.2024.137840
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.cc2hy9nf
title: CCDC 2322075: Experimental Crystal Structure Determination

description: Related Article: Meiju Liu, Yao Zou, Cheng Xing, Xin Meng, Guorong He, Kun Hu, Ningbo Gong, Yang Lu, Guanhua Du|2024|J.Mol.Struct.|1306|137873|doi:10.1016/j.molstruc.2024.137873
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.cc2hy9pg
title: CCDC 2322076: Experimental Crystal Structure Determination

description: Related Article: Meiju Liu, Yao Zou, Cheng Xing, Xin Meng, Guorong He, Kun Hu, Ningbo Gong, Yang Lu, Guanhua Du|2024|J.Mol.Struct.|1306|137873|doi:10.1016/j.molstruc.2024.137873
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.cc2hy9qh
title: CCDC 2322077: Experimental Crystal Structure Determination

description: Related Article: Meiju Liu, Yao Zou, Cheng Xing, Xin Meng, Guorong He, Kun Hu, Ningbo Gong, Yang Lu, Guanhua Du|2024|J.Mol.Struct.|1306|137873|doi:10.1016/j.molstruc.2024.137873
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.cc2hy9md
title: CCDC 2322074: Experimental Crystal Structure Determination

description: Related Article: Meiju Liu, Yao Zou, Cheng Xing, Xin Meng, Guorong He, Kun Hu, Ningbo Gong, Yang Lu, Guanhua Du|2024|J.Mol.Struct.|1306|137873|doi:10.1016/j.molstruc.2024.137873
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.cc2hz2f0
title: CCDC 2322812: Experimental Crystal Structure Determination

description: Related Article: Guo-Hua Liu, Zhi-Lei Chai, Lu-Lu Gan, Xiao-Xia Li, Chen-Yin Ma, Ming-Xia Du, Wen-Kui Dong|2024|J.Mol.Struct.|1306|137878|doi:10.1016/j.molstruc.2024.137878
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.10709447
title: Raw Data for: Fast rate dual-comb spectrometer in the water-transparent 7.5-11.5 μm region

description: This repository shares the data acquired and used to produce the figures in the paper "Fast rate dual-comb spectrometer in the water-transparent 7.5-11.5 μm region" published in Optics Letters (DOI: https://doi.org/10.1364/OL.515199)

The "Figure_Data" zip file contains a ".txt" file for each Figure present in the Main Paper and Supplemental Document. The raw data acquired by the FT spectrometer and uploaded here for Figure 2 are afterward smoothed and normalized properly in the Main Paper to better show the spectra. Data shown in Figure 3 are calculated from the corresponding raw data.  Data used for Figure 4 are calculated from the corresponding raw blank DCS data. Data for Figure 5, 6 and S1 are retrieved from the corresponding raw Gas DCS data upon Cepstral removal of the spectral baseline and spectral fit exploiting the Hitran Database.

The "Raw_Data" zip file contains the postprocessed Data of the DCS measurements and the RIN data as acquired. The Raw data of the DCS measurements as acquired are too large to be uploaded here, but may be obtained from the authors upon request."NH3_1o6kHz_IGMmean", "N2O_5o1kHz_IGMmean", "N2O_26kHz_IGMmean" contain the DCS interferogram averaged over 15s of acquisition for Gas measurements, performed with different DeltaFrep as described in the main text of the paper."Blank_1o6kHz_IGMs", "Blank_5o1kHz_IGMs", "Blank_26kHz_IGMs" contain all the phase corrected DCS interferograms acquired over 100ms, used to calculate the average SNR shown in Figure 4."RIN_DFG" contain the raw data acquired from the detector for RIN calculations, with an average voltage values of 25mV.

The scripts for processing the Raw Data and retrieve the data as shown in the paper are home made.
DOI: 10.5281/zenodo.10709448
title: Raw Data for: Fast rate dual-comb spectrometer in the water-transparent 7.5-11.5 μm region

description: This repository shares the data acquired and used to produce the figures in the paper "Fast rate dual-comb spectrometer in the water-transparent 7.5-11.5 μm region" published in Optics Letters (DOI: https://doi.org/10.1364/OL.515199)

The "Figure_Data" zip file contains a ".txt" file for each Figure present in the Main Paper and Supplemental Document. The raw data acquired by the FT spectrometer and uploaded here for Figure 2 are afterward smoothed and normalized properly in the Main Paper to better show the spectra. Data shown in Figure 3 are calculated from the corresponding raw data.  Data used for Figure 4 are calculated from the corresponding raw blank DCS data. Data for Figure 5, 6 and S1 are retrieved from the corresponding raw Gas DCS data upon Cepstral removal of the spectral baseline and spectral fit exploiting the Hitran Database.

The "Raw_Data" zip file contains the postprocessed Data of the DCS measurements and the RIN data as acquired. The Raw data of the DCS measurements as acquired are too large to be uploaded here, but may be obtained from the authors upon request."NH3_1o6kHz_IGMmean", "N2O_5o1kHz_IGMmean", "N2O_26kHz_IGMmean" contain the DCS interferogram averaged over 15s of acquisition for Gas measurements, performed with different DeltaFrep as described in the main text of the paper."Blank_1o6kHz_IGMs", "Blank_5o1kHz_IGMs", "Blank_26kHz_IGMs" contain all the phase corrected DCS interferograms acquired over 100ms, used to calculate the average SNR shown in Figure 4."RIN_DFG" contain the raw data acquired from the detector for RIN calculations, with an average voltage values of 25mV.

The scripts for processing the Raw Data and retrieve the data as shown in the paper are home made.
DOI: 10.5519/qd.9msrvywf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (67 records)
DOI: 10.5519/qd.k61tfpvs
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (67 records)
DOI: 10.5281/zenodo.10795180
title: EMMA-X GWAS results on S. pimpinellifolium RSA traits - part 2

description: The results of GWAS run through EMMA-X pipeline, on root system architecture traits of S. pimpinellifolim (wild tomato) exposed to control and salt stress conditions on agar plates. Traits are abbreviated as: aLRG for average lateral root growth rate, aLRL for average lateral root length, aLRLpTRS for the ratio between average lateral root length and total root size. The treatments are abbreviated with C or S for control or 100 mM NaCl treatments. The numbers in file name (0-4) indicate the days post transfer to agar plates containing treatment.
DOI: 10.5281/zenodo.10795181
title: EMMA-X GWAS results on S. pimpinellifolium RSA traits - part 2

description: The results of GWAS run through EMMA-X pipeline, on root system architecture traits of S. pimpinellifolim (wild tomato) exposed to control and salt stress conditions on agar plates. Traits are abbreviated as: aLRG for average lateral root growth rate, aLRL for average lateral root length, aLRLpTRS for the ratio between average lateral root length and total root size. The treatments are abbreviated with C or S for control or 100 mM NaCl treatments. The numbers in file name (0-4) indicate the days post transfer to agar plates containing treatment.
DOI: 10.5281/zenodo.10805409
title: UnCoVar: Benchmarking dataset for SARS-CoV-2 sequence processing software pipelines, Sanger sequences
DOI: 10.5281/zenodo.10805410
title: UnCoVar: Benchmarking dataset for SARS-CoV-2 sequence processing software pipelines, Sanger sequences
DOI: 10.48597/earq-qgyw
title: Measurement of Particle_number_concentration at Whistler Mountain

description: Measurement of Particle_number_concentration at Whistler Mountain
DOI: 10.5281/zenodo.10805430
title: Independent variable importance

description: Independe variables importances (MYC, BCL2, and BCL6 MLP analysis)
DOI: 10.5281/zenodo.10805431
title: Independent variable importance

description: Independe variables importances (MYC, BCL2, and BCL6 MLP analysis)
DOI: 10.17909/61bm-yk62
title: MIRI Imaging Paper 

description: F770W, F1000W, F1500W, and F2100W observations of N79 South GMC
DOI: 10.6084/m9.figshare.25379446
title: Copy_number_matrix

description: The copy number matrix for strain-level profiling
DOI: 10.6084/m9.figshare.25379446.v2
title: Copy_number_matrix

description: The copy number matrix for strain-level profiling
DOI: 10.6084/m9.figshare.25379446.v1
title: Copy_number_matrix

description: The copy number matrix for strain-level profiling
DOI: 10.6084/m9.figshare.25383082
title: Figure 4. Diffussion profile

description: A.profile of rhodamine B diffusion through the device at time 0 and 5 minutes.
DOI: 10.6084/m9.figshare.25383082.v1
title: Figure 4. Diffussion profile

description: A.profile of rhodamine B diffusion through the device at time 0 and 5 minutes.
DOI: 10.6084/m9.figshare.25383085
title: Genome_to_KO

description: The map genomes to pathways
DOI: 10.6084/m9.figshare.25383085.v1
title: Genome_to_KO

description: The map genomes to pathways
DOI: 10.6084/m9.figshare.25048626
title: Renewable Quantile Regression with Heterogeneous Streaming Datasets

description: The renewable statistical inference has received much attention since the advent of streaming data collection techniques. However, most existing online updating methods are developed based on a homogeneity assumption and gradients; all data batches are required to be either independent and identically distributed or share the same regression parameters, and objective functions must be smooth concerning parameters. To our best knowledge, the only existing approach that allows some regression parameters to be different for different data batches, was proposed by Luo and Song who required the homogeneous structure to be known, which is difficult to guarantee in actual application. In this article, we develop an online renewable quantile regression method that relies only on the current data and summary statistics of historical data, for both homogeneous and heterogeneous streaming data. The proposed methods are computationally efficient, can automatically detect the unknown potential homogeneous structure, and are robust to heavy-tailed noise and data with outliers. Asymptotic properties show that the proposed renewable estimators can achieve the same statistical efficiency as the oracle estimators based on individual-level data. A numerical simulation and a real data analysis illustrate that the proposed methods perform well. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.25048626.v1
title: Renewable Quantile Regression with Heterogeneous Streaming Datasets

description: The renewable statistical inference has received much attention since the advent of streaming data collection techniques. However, most existing online updating methods are developed based on a homogeneity assumption and gradients; all data batches are required to be either independent and identically distributed or share the same regression parameters, and objective functions must be smooth concerning parameters. To our best knowledge, the only existing approach that allows some regression parameters to be different for different data batches, was proposed by Luo and Song who required the homogeneous structure to be known, which is difficult to guarantee in actual application. In this article, we develop an online renewable quantile regression method that relies only on the current data and summary statistics of historical data, for both homogeneous and heterogeneous streaming data. The proposed methods are computationally efficient, can automatically detect the unknown potential homogeneous structure, and are robust to heavy-tailed noise and data with outliers. Asymptotic properties show that the proposed renewable estimators can achieve the same statistical efficiency as the oracle estimators based on individual-level data. A numerical simulation and a real data analysis illustrate that the proposed methods perform well. Supplementary materials for this article are available online.
DOI: 10.5519/qd.06tzomni
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (30 records)
DOI: 10.5519/qd.mmz2dlfe
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (11 records)
DOI: 10.5519/qd.8mh336k6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (931 records)
DOI: 10.5519/qd.akvdfnrz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (256 records)
DOI: 10.5519/qd.61ch7fjl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (42 records)
DOI: 10.5519/qd.yxfca3p8
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (100 records)
DOI: 10.5519/qd.c48dfvhh
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (35 records)
DOI: 10.5281/zenodo.10419619
title: Model America - Summer 2020 Arizona Building Energy Simulation Results from ORNL's AutoBEM

description: Oak Ridge National Laboratory (ORNL) has developed the Automatic Building Energy Modeling (AutoBEM) software suite to process multiple types of data, extract building-specific descriptors, generate building energy models, and simulate them on High Performance Computing (HPC) resources. For more information, see AutoBEM-related publications (bit.ly/AutoBEM).

Data is provided for 2,555,152 buildings located within the boundary of Arizona in the United States:

Data (1.48GB *.csv) - Arizona 2,555,152 building information data with simulation results separated by county. (Simulation results are for June 1st-August 31st, 2020)

Building Information Data Fields:



ID

CZ

Centroid

State_Abbr

Footprint2D

Height,Area2D

BuildingType

NumFloors

Area

Standard

NumWalls

WWR_surfaces


Energy Simulation Data Fields:



Electricity_Facility[kBTU]

NaturalGas_Facility[kBTU]

Heating_Electricity[kBTU]

Cooling_Electricity[kBTU]

Heating_NaturalGas[kBTU]

Heating_Total[kBTU]

WaterSystems_Electricity[kBTU]

Lighting_Electricity[kBTU]

Equipment_Electricity[kBTU]

Fans_Electricity[kBTU]

Pumps_Electricity[kBTU]

HeatRejection_Electricity[kBTU]

HeatRecovery_Electricity[kBTU]

Surface_Outside_Face_Heat_Emission[GJ]

Zone_Exfiltration_Heat_Loss[GJ]

Zone_Exhaust_Air_Heat_Loss[GJ]

Heat_Rejection_Energy[GJ]

Anthropogenic_Emissions[GJ]


This data is made free and openly available in hopes of stimulating any simulation-informed use case. Data is provided as-is with no warranties, express or implied, regarding fitness for a particular purpose. We wish to thank our sponsors which include Oak Ridge National Laboratory (ORNL), U.S. Dept. of Energy’s (DOE) Building Technologies Office (BTO), Office of Electricity (OE), and Biological and Environmental Research (BER).