cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bng3l
title: CCDC 2164609: Experimental Crystal Structure Determination

description: Related Article: Duncan A. X. Fraser, Zoë R. Turner, Robert T. Cooper, Jean-Charles Buffet, Jennifer C. Green, Dermot O’Hare|2022|Inorg.Chem.|61|12207|doi:10.1021/acs.inorgchem.2c01267
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.cc2bng4m
title: CCDC 2164610: Experimental Crystal Structure Determination

description: Related Article: Duncan A. X. Fraser, Zoë R. Turner, Robert T. Cooper, Jean-Charles Buffet, Jennifer C. Green, Dermot O’Hare|2022|Inorg.Chem.|61|12207|doi:10.1021/acs.inorgchem.2c01267
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.cc2bng5n
title: CCDC 2164611: Experimental Crystal Structure Determination

description: Related Article: Duncan A. X. Fraser, Zoë R. Turner, Robert T. Cooper, Jean-Charles Buffet, Jennifer C. Green, Dermot O’Hare|2022|Inorg.Chem.|61|12207|doi:10.1021/acs.inorgchem.2c01267
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.cc2bng6p
title: CCDC 2164612: Experimental Crystal Structure Determination

description: Related Article: Duncan A. X. Fraser, Zoë R. Turner, Robert T. Cooper, Jean-Charles Buffet, Jennifer C. Green, Dermot O’Hare|2022|Inorg.Chem.|61|12207|doi:10.1021/acs.inorgchem.2c01267
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.cc2by1dr
title: CCDC 2172864: Experimental Crystal Structure Determination

description: Related Article: Wenwen Jia, Ruiqing Fan, Jian Zhang, Ke Zhu, Shuang Gai, Huimin Nai, Haoqi Guo, Jingkun Wu, Yulin Yang|2022|Chem.Eng.Journal|450|138303|doi:10.1016/j.cej.2022.138303
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.cc2by1fs
title: CCDC 2172865: Experimental Crystal Structure Determination

description: Related Article: Wenwen Jia, Ruiqing Fan, Jian Zhang, Ke Zhu, Shuang Gai, Huimin Nai, Haoqi Guo, Jingkun Wu, Yulin Yang|2022|Chem.Eng.Journal|450|138303|doi:10.1016/j.cej.2022.138303
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.cc26gpft
title: CCDC 2039906: Experimental Crystal Structure Determination

description: Related Article: G. Mahmoudi, I. García-Santos, M. Pittelkow, F.S. Kamounah, E. Zangrando, M.G. Babashkina, A. Frontera, D.A. Safin|2022|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|78|685|doi:10.1107/S2052520622005789
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.cc271cwk
title: CCDC 2056908: Experimental Crystal Structure Determination

description: Related Article: M. Bauer, F. Lacoulonche, R. Céolin, M. Barrio, I. Khichane, B. Robert, J.-Ll. Tamarit, I.B. Rietveld|2022|Int.J.Pharm.|624|122047|doi:10.1016/j.ijpharm.2022.122047
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.cc271cxl
title: CCDC 2056909: Experimental Crystal Structure Determination

description: Related Article: M. Bauer, F. Lacoulonche, R. Céolin, M. Barrio, I. Khichane, B. Robert, J.-Ll. Tamarit, I.B. Rietveld|2022|Int.J.Pharm.|624|122047|doi:10.1016/j.ijpharm.2022.122047
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.20463843.v2
title: Tao et al_Psy-T2DM-MR_Supplementary material.pdf

description: Supplementary material of Causal Effect Between Five Psychiatric Disorders and type 2 diabetes
DOI: 10.18112/openneuro.ds004091.v1.2.2
title: GAZE PRF
DOI: 10.6084/m9.figshare.20464020
title: Tao et al_Psy-T2DM-MR_Supplementary material.pdf

description: Supplementary material of Causal Effect Between Five Psychiatric Disorders and type 2 diabetes
DOI: 10.6084/m9.figshare.20464020.v1
title: Tao et al_Psy-T2DM-MR_Supplementary material.pdf

description: Supplementary material of Causal Effect Between Five Psychiatric Disorders and type 2 diabetes
DOI: 10.3886/e112861v1-124882
title: Replication data for: Beyond GDP? Welfare across Countries and Time

description: We propose a summary statistic for the economic well-being of people in a country. Our measure incorporates consumption, leisure, mortality, and inequality, first for a narrow set of countries using detailed micro data, and then more broadly using multi-country datasets. While welfare is highly correlated with GDP per capita, deviations are often large. Western Europe looks considerably closer to the United States, emerging Asia has not caught up as much, and many developing countries are further behind. Each component we introduce plays a significant role in accounting for these differences, with mortality being most important.
DOI: 10.6084/m9.figshare.20463843.v3
title: Tao et al_Psy-T2DM-MR_Supplementary material.pdf

description: Supplementary material of Causal Effect Between Five Psychiatric Disorders and type 2 diabetes
DOI: 10.6084/m9.figshare.20462871
title: Large-Scale Dynamic Random Graph - Example

description: Zhang et al. (https://link.springer.com/article/10.1140/epjb/e2017-80122-8) suggest a temporal random network with changing dynamics that follow a Markov process, allowing for a continuous-time network history moving from a static definition of a random graph with a fixed number of nodes n and edge probability p to a temporal one. Defining lambda = probability per time granule of a new edge to appear and mu = probability per time granule of an existing edge to disappear, Zhang et al. show that the equilibrium probability of an edge is p=lambda/(lambda+mu) Our implementation, a Python package that we refer to as RandomDynamicGraph https://github.com/ScanLab-ossi/DynamicRandomGraphs, generates large-scale dynamic random graphs according to the defined density. The package focuses on massive data generation; it uses efficient math calculations, writes to file instead of in-memory when datasets are too large, and supports multi-processing. Please note the datetime is arbitrary.
DOI: 10.6084/m9.figshare.20462760
title: Processed Version of Copenhagen Networks Study (CNS) Dataset

description: The CNS social network of interactions was used in the following manner. To consider close encounters, the data was mined taking into account that the probability for infection is inversely correlated with distance, and decreases dramatically as the distance. The proximity information was registered as the Received Signal Strength (RSSI) function. However, it is hard to infer exact distance information from the RSSI. Moreover, the distance itself is not a single component in calculating the chance of infection - the directions of standing, ventilation, and the environment are also significant parameters. To simplify the model we do not consider all the above. As stronger signal correlates roughly with high proximity, we consider interactions for the RSSI &gt;= -90. We further mined the dataset for cores, and incorporated core information into our modeling. Then consecutive meetings were aggregated. Note that the "datetime" field is arbitrary.
DOI: 10.5517/ccdc.csd.cc2ckv4y
title: CCDC 2191890: Experimental Crystal Structure Determination

description: Related Article: Hasrat Ali, Johan E. van Lier|2022|Steroids|187|109092|doi:10.1016/j.steroids.2022.109092
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.cc2ckv93
title: CCDC 2191895: Experimental Crystal Structure Determination

description: Related Article: Hasrat Ali, Johan E. van Lier|2022|Steroids|187|109092|doi:10.1016/j.steroids.2022.109092
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.20463798
title: The genome of Tetraena mongolica

description: <strong>T_mongolica_genome.fa: </strong>Genome assembly file <strong>T_mongolica_genes.gff3: </strong>Gene annotation file <strong>T_mongolica_genes.gff3.cds: </strong> Coding sequences of protein-coding genes <strong>T_mongolica_genes.gff3.pep: </strong>Protein sequences of protein-coding genes
DOI: 10.23729/0ccd84a0-8c31-424c-be77-86764d84496c
title: Water quality and discharge data of Kuonanjoki sub-catchment of Lake Puruvesi

description: The water quality and discharge has been monitored using continuous device in Kuonanjoki sub catchment of Puruvesi. Following parameters have been monitored: chlorophyll-A, cyanobacteria, electrical conductivity, water temperature, oxygen, total and dissolved organic carbon, turbidity, suspended solids and total phosphorus in addition to discharge and velocity of the stream. Presented data is the latest validated data from period 24.10.2019 - 4.11.2021 (interval of 30 min.). Monitoring has been conducted by Luke as part of the [Horizon 2020 project Operandum](https://www.operandum-project.eu/the-project/) and South Savonia Ely center. Kuonanjoki catchments is part of the Lake Puruvesi catchment, locating in eastern part of Finland. The size of Kuonanjoki catchment is 73 km2, including forest (75% of land area), of which 30 % is peatland forest, in addition there is agricultural area (4%) and water bodies (21%). The former human activities such as ditching of peatlands, have caused increased nutrient (e.g. phosphorus and nitrogen) and suspended solids loads into the lakes of the catchment, and further increased risk of eutrophication and siltation of lakes. Hazard of increased leaching of nutrients and suspended solids may be accelerated by heavy precipitation events caused by climate change. [Additional information / Observations from Kuonanjoki river](https://virpo.fmi.fi/operandum/) Data quality: Validated Persons responsible for handling data requests about this dataset: Liisa Ukonmaanaho
DOI: 10.5281/zenodo.6794668
title: Russo-Ukrainian War: Prediction and explanation of Twitter suspension

description: Dataset used in research paper : "Russo-Ukrainian War: Prediction and explanation of Twitter<br> suspension". Contain extracted features for Twitter users, correlated to discussion of Russo-Ukrainian war. Contain multiple feature categories. Source code of dataset usage in Machine Learning approach is available at GitHub: https://github.com/alexdrk14/TwitterSuspension .
DOI: 10.5281/zenodo.6794667
title: Russo-Ukrainian War: Prediction and explanation of Twitter suspension

description: Dataset used in research paper : "Russo-Ukrainian War: Prediction and explanation of Twitter<br> suspension". Contain extracted features for Twitter users, correlated to discussion of Russo-Ukrainian war. Contain multiple feature categories. Source code of dataset usage in Machine Learning approach is available at GitHub: https://github.com/alexdrk14/TwitterSuspension .
DOI: 10.6084/m9.figshare.17142440.v1
title: Data to A Novel Flow Resistance Approach for Shallow Water Depth in Overland Flow Simulations

description: Experimental data for roughness investigations with different discharges from 5 to 70 l/s and slopes up to 40 %.<br>
DOI: 10.5281/zenodo.5750031
title: Data Set: The influence of roughness on experimental fault mechanical behaviour and associated microseismicity

description: This is the data set used to create the figures for the submitted manuscript, The influence of roughness on experimental fault mechanical behaviour and associated microseismicity. Submitted July 2022 to the Journal of Geophysical Research: Solid Earth. Article DOI: 10.1029/2022JB025113
description: BF, FP, CG, and M.V. acknowledge support by the European Research Council Starting Grant project 757290-BEFINE. SM acknowledges support by the Swiss National Science Foundation under grant number 192237.
DOI: 10.5281/zenodo.5750030
title: Data Set: The influence of roughness on experimental fault mechanical behaviour and associated microseismicity

description: This is the data set used to create the figures for the submitted manuscript, The influence of roughness on experimental fault mechanical behaviour and associated microseismicity. Submitted July 2022 to the Journal of Geophysical Research: Solid Earth. Article DOI: 10.1029/2022JB025113
description: BF, FP, CG, and M.V. acknowledge support by the European Research Council Starting Grant project 757290-BEFINE. SM acknowledges support by the Swiss National Science Foundation under grant number 192237.
DOI: 10.34934/dvn/vpafbq
title: Unlocking the full potential of school buildings by reconciling building properties, educational and societal needs: supplementary material

description: This dataset is related to the upcoming research article "Unlocking the full potential of school buildings by reconciling building properties, educational and societal needs." This research article is developed as part of the project 'de circulaire school: klaar voor 2050' which is funded by Vlaanderen Circulair. The goal of this project is to study how building services can facilitate a more flexible use of school buildings. The dataset contains more detailed information (reports, drawings) on the focus group discussions which were carried out to study how school buildings might be used in the future. Second, this dataset also contains more information on the developed theoretical framework which is discussed in the research article.
DOI: 10.3886/e168201
title: Data and Code for: Marketing Investment and Intangible Brand Capital

description: This paper discusses how marketing investments create intangible brand capital. We begin with several facts about trends in marketing investment in the US economy. We present estimates of the private value of brands to firms and aggregate intangible brand capital stocks created by these investments. We provide evidence on the rising share of marketing executives and the shift toward in-house marketing. We then discuss the three prominent mechanisms in the literature that seeks to explain the striking magnitude of marketing outlays: 1) a reputation for prestige and/or quality; 2) reduce transaction and search costs; and 3) the role of marketing in strategic interaction.
DOI: 10.3886/e168201v1
title: Data and Code for: Marketing Investment and Intangible Brand Capital

description: This paper discusses how marketing investments create intangible brand capital. We begin with several facts about trends in marketing investment in the US economy. We present estimates of the private value of brands to firms and aggregate intangible brand capital stocks created by these investments. We provide evidence on the rising share of marketing executives and the shift toward in-house marketing. We then discuss the three prominent mechanisms in the literature that seeks to explain the striking magnitude of marketing outlays: 1) a reputation for prestige and/or quality; 2) reduce transaction and search costs; and 3) the role of marketing in strategic interaction.
DOI: 10.34740/kaggle/dsv/4053187
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.20464293
title: Emihu2 ORF finding procedure

description: ORF finding procedure used in Skeffington et al <em>Emiliania huxleyi</em> proteomics paper. Includes input data and R scripts. For details see the README file in the archive and the pre-print / publication.
DOI: 10.6084/m9.figshare.20464299
title: Erythroxylum coriaceum Zanfona 1

description: ......
DOI: 10.6084/m9.figshare.20464299.v1
title: Erythroxylum coriaceum Zanfona 1

description: ......
DOI: 10.6084/m9.figshare.20462985
title: Supplemental Files.zip

description: Plant rhizosphere soil microbial high-throughput sequencing amplicon data, 16S and ITS dataoil microbial high-throughput sequencing amplicon data
DOI: 10.6084/m9.figshare.20462985.v1
title: Supplemental Files.zip

description: Plant rhizosphere soil microbial high-throughput sequencing amplicon data, 16S and ITS dataoil microbial high-throughput sequencing amplicon data
DOI: 10.26180/20464428
title: Acclimation of thermal physiology to new basking regimes in a widespread Australian skink

description: Data and R script
DOI: 10.26180/20464428.v1
title: Acclimation of thermal physiology to new basking regimes in a widespread Australian skink

description: Data and R script
DOI: 10.5281/zenodo.6974395
title: Data for the article "Typhon: a polar stream from the outer halo raining through the Solar neighborhood"

description: This data contains the stellar parameters of Typhon stream stars in the context of the "Typhon: a polar stream from the outer halo raining through the Solar neighborhood" (Tenachi et al. 2022) paper, in two formats:.csv and .fits (which also contains a short description of each column). This data includes: Stellar coordinates and parameters from Gaia DR3 (Gaia Collaboration 2022) with extinction-corrected magnitudes using the (Schlafly and Finkbeiner 2011) corrections to the (Schlegel et al. 1998) extinction maps, assuming the extinction ratios A<sub>G</sub>/A<sub>V</sub> = 0.86117, A<sub>GBP</sub>/A<sub>V</sub> = 1.06126 and A<sub>GRP</sub> /A<sub>V</sub> = 0.64753, as listed on the web interface to the PARSEC isochrones (Bressan et al. 2012) and assuming a solar position (x,y,z) = (−8.2240, 0, 0.0028) kpc (Bovy 2020, Widmark et al. 2021) and a solar velocity (vx,vy,vz) = (11.10, 7.20, 7.25) km/s with a circular velocity = 243 km/s (Schonrich et al. 2010, Bovy 2020). Added dynamical parameters (actions, energy, apocenters and pericenters values) derived in a (McMillan et al 2017) potential. Metallicity parameters from LAMOST DR8 PASTEL column (Wang et al 2022). Independent measurements from the "Chemical Abundances of the Typhon Stellar Stream" follow-up paper (Ji et al 2022).
DOI: 10.5281/zenodo.6979918
title: OMPs concentration in lab-scale AnMBR

description: The spreadsheet contains the organic micropollutants concentrations and removal efficiencies of different contaminants: iopromide (IPM), sodium diatrizoate (DTR), sulfamethoxazole (SMX), trimethoprim (TMP), iohexol (IHX), roxithromycin (RMX), sulfadiazine (SDI), metronidazole (MTZ), ampicillin (AMP), acyclovir (ACV), triclosan (TCL), diclofenac (DCF), bezafibrate (BZF), and naproxen (NPX). <br> Those pollutants were sampled from the inlet and outlet of a 5 L lab-scale anaerobic membrane bioreactor (AnMBR).
DOI: 10.5281/zenodo.6979755
title: OMPs concentration in lab-scale AnMBR

description: The spreadsheet contains the organic micropollutants concentrations and removal efficiencies of different contaminants: iopromide (IPM), sodium diatrizoate (DTR), sulfamethoxazole (SMX), trimethoprim (TMP), iohexol (IHX), roxithromycin (RMX), sulfadiazine (SDI), metronidazole (MTZ), ampicillin (AMP), acyclovir (ACV), triclosan (TCL), diclofenac (DCF), bezafibrate (BZF), and naproxen (NPX). <br> Those pollutants were sampled from the inlet and outlet of a 5 L lab-scale anaerobic membrane bioreactor (AnMBR).
DOI: 10.5281/zenodo.6948668
title: Data for the article "Typhon: a polar stream from the outer halo raining through the Solar neighborhood"

description: This data contains the stellar parameters of Typhon stream stars in the context of the "Typhon: a polar stream from the outer halo raining through the Solar neighborhood" (Tenachi et al. 2022) paper, in two formats:.csv and .fits (which also contains a short description of each column). This data includes: Stellar coordinates and parameters from Gaia DR3 (Gaia Collaboration 2022) with extinction-corrected magnitudes using the (Schlafly and Finkbeiner 2011) corrections to the (Schlegel et al. 1998) extinction maps, assuming the extinction ratios A<sub>G</sub>/A<sub>V</sub> = 0.86117, A<sub>GBP</sub>/A<sub>V</sub> = 1.06126 and A<sub>GRP</sub> /A<sub>V</sub> = 0.64753, as listed on the web interface to the PARSEC isochrones (Bressan et al. 2012) and assuming a solar position (x,y,z) = (−8.2240, 0, 0.0028) kpc (Bovy 2020, Widmark et al. 2021) and a solar velocity (vx,vy,vz) = (11.10, 7.20, 7.25) km/s with a circular velocity = 243 km/s (Schonrich et al. 2010, Bovy 2020). Added dynamical parameters (actions, energy, apocenters and pericenters values) derived in a (McMillan et al 2017) potential. Metallicity parameters from LAMOST DR8 PASTEL column (Wang et al 2022). Independent measurements from the "Chemical Abundances of the Typhon Stellar Stream" follow-up paper (Ji et al 2022).