cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1mk36h
title: CCDC 1505986: Experimental Crystal Structure Determination

description: Related Article: Sujoy Rana, Jyoti Prasad Biswas, Asmita Sen, Martin Clémancey, Geneviève Blondin, Jean-Marc Latour, Gopalan Rajaraman, Debabrata Maiti|2018|Chemical Science|9|7843|doi:10.1039/C8SC02053A
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: 10.17632/2zr7k8w5vc.1
title: Formative evaluation of a training intervention for community health workers in South Africa: main testing dataset

description: This dataset provides the before and after knowledge assessment scores and questionnaire responses of the Community Health Workers participating in the main testing phase of the following study: Formative evaluation of a training intervention for community health workers in South Africa: a before and after study Plowright A, Taylor C, Davies D, Sartori J, Lewando-Hundt G and Lilford RJ. PLOSOne (2018). The publication provides all of the relevant methods and other information required to understand and interpret the dataset published here.
DOI: 10.17632/8fct6w2bpz.1
title: Data for: Archaeobotanical data from an ‘agglomerated cell’ type archaeological site: Plant macroremains from the Arteni-1 site (Armenia)

description: This table contains details on the archaeobotanical findings for each sediment sample.
DOI: 10.17632/fmt3cjrz7r.1
title: Data for: Linguistic cues are privileged over non-linguistic cues in young children’s categorization

description: Cue Compliant responses for Experiments 1 and 2 in "Linguistic cues are privileged over non-linguistic cues in young children's categorization" by S. Fairchild, A. Mathis, & A. Papafragou.
DOI: 10.17632/gcgkv6wdf6.1
title: U-Pb ages of detrital zircons from the Nevado-Filabride Complex (Betic Chain)

description: This dataset include detrital zircon U-Pb zircon age distributions in Paleozoic rocks rocks from the Nevado-Filábride Complex (Betic Cordillera, SE Spain) to test if they from part of the South Iberian paleomargin, or if they are related to the Alpine Allochtonous Internal terranes. The data set show ages in the text, tables, and figures. The ages are quoted as 206Pb/238U dates for zircons younger than 1500 Ma and as 207Pb/206Pb dates for zircons older than 1500 Ma. Figures include the U–Pb concordia and the youngest zircon population plots for the studied samples. Zircons were separated using standard heavy-liquid and magnetic techniques in the Department of Geodynamics of the University of Granada. Zircons grains from the Aulago Fm were hand-picked from the studied samples, several grains of zircon reference standard TEMORA-II (for isotope ratios; Black et al., 2003), one grain of reference standard SL13 zircon (for U concentration, Claoué-Long et al., 1995), plus a few grains of REG zircon (high common lead, for mass calibration) were mounted in a 3.5 cm diameter epoxy mount, polished and examined using optical (reflected and transmitted light) and scanning electron microscopy methods (secondary electrons (SE) and cathodoluminescence (CL)). After extensive cleaning, mounts were coated with ultra-pure gold (8-10 nm) and loaded for SHRIMP analysis. Their U-Th-Pb geochronological analyses were carried out on the SHRIMP IIe/mc instrument of the IBERSIMS lab, University of Granada. Grains from the Tahal Fm were handpicked and mounted in epoxy, polished, cleaned and gold coated for cathodoluminescence (CL) imaging on a Mira3 FESEM instrument at the John de Laeter Centre (JdLC), Curtin University, Perth, Australia. LA-ICP-MS data collection was performed at the GeoHistory Facility, JdLC, Curtin University, Perth, Australia.
DOI: 10.17632/nwbghyz872.2
title: Data for: Synthesis of copper nanoclusters stabilized by 2-amino-5-mercapto-1, 3, 4 -thiadiazole and acetate simultaneously and as a sensitive sensor for detecting trace water in organic solvents

description: Copper nanoclusters as a sensor for detecting the water in organic solvents
DOI: 10.17632/nwbghyz872.3
title: Data for: Synthesis of copper nanoclusters stabilized by 2-amino-5-mercapto-1, 3, 4 -thiadiazole and acetate simultaneously and as a sensitive sensor for detecting trace water in organic solvents

description: Copper nanoclusters as a sensor for detecting the water in organic solvents
DOI: 10.17632/rt65mhhsr6.1
title: Data for: Size Control of Cross-Linked Carboxy-Functionalized Polystyrene Particles: Four Orders of Magnitude of Dimensional Versatility

description: This file contains the supplementary data for the manuscript titled, "Size Control of Cross-Linked Carboxy-Functionalized Polystyrene Particles: Four Orders of Magnitude of Dimensional Versatility" and includes experimental details, NMR and IR spectra, SEM images, optical images, DLS data, and movies of particles in organic solvents.
DOI: 10.17632/xsy73v92wv.1
title: Code and Data for "How Large is Large Enough?"

description: Here we share the data used in our studis of the minimum representatitve size of subset and the code of the metric. Bassically, when two sets of data points, such as recieved citations of all papers of two journals within certian time period, are compared, usually people compare the mean, for example, the journal impact factor (JIF). We may compare the two set directly by taking one sample from each set and then compare the two samples, and count this ratio of sample from set one is bigger than sample from set two. It is quite possible that when the mean value of set one is larger than that of set two, the above ratio can still be very low, especially when the two sets have large variances, ie when the summation of the variance is close or even larger than the difference between the means. In that case, there is a large overlap between the two data sets. We find a way to reduce the varaince, thus also reduce the overlap: By taking a set of K1 samples fromt set one and K2 samples from set 2, and calculate and compare the average of the two subsets. Based on this observation, we find that as long as K1 and K2 are large enough, then the ratio of the K1-average of set one is larger than the K2-average of set two can be quite large, as contrast to the original low ratio of the sinle-sample average of the first is large than that of the second set. We then define the necessary size of each set need for a reliable comparison of the two sets to be the minimum representative size of the set, and apply it to a set of journals. Here we provide data and the code. There are examples provides in the comments in the code. The Python program $PrMultiSamComp\left(X, Y, K_{X}, K_{Y}, Pr, K2PorP2K\right)$, implementing the metric in Python. Basically, given the two set $X, Y$ and the threshold probability $Pr$, the program calculate $K_{X}, K_{Y}$ with the flag value $K2PorP2K=0$ and given the two set $X, Y$ and the size of re-sampling subsets $K_{X}, K_{Y}$, the program calculate $Pr$ with $K2PorP2K=1$.
DOI: 10.17909/t9x984
title: test doi

description: test
DOI: 10.25919/5b8749d33b596
title: Parkes observations for project P456 semester 2018APRS_13

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. The PPTA is the oldest of three international pulsar timing groups. We have the smallest telescope and the smallest group, but the best measurements and the best results. Our bound on the strength of the incoherent gravitational wave background is the only bound which significantly constrains theoretical models. We have maintained our leading position because: we have the southern sky; we have a small but well-focussed group; we have the best-calibrated receivers; and we have been able to observe with an almost regular cadence of 15 to 20 days at three different wavelengths. With this proposal we aim to maintain our pre-eminent position in the field.

Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.5517/ccdc.csd.cc1mk39l
title: CCDC 1505989: Experimental Crystal Structure Determination

description: Related Article: Sujoy Rana, Jyoti Prasad Biswas, Asmita Sen, Martin Clémancey, Geneviève Blondin, Jean-Marc Latour, Gopalan Rajaraman, Debabrata Maiti|2018|Chemical Science|9|7843|doi:10.1039/C8SC02053A
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.cc1mwyt8
title: CCDC 1516421: Experimental Crystal Structure Determination

description: Related Article: Sujoy Rana, Jyoti Prasad Biswas, Asmita Sen, Martin Clémancey, Geneviève Blondin, Jean-Marc Latour, Gopalan Rajaraman, Debabrata Maiti|2018|Chemical Science|9|7843|doi:10.1039/C8SC02053A
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.cc1mwzvb
title: CCDC 1516453: Experimental Crystal Structure Determination

description: Related Article: Sujoy Rana, Jyoti Prasad Biswas, Asmita Sen, Martin Clémancey, Geneviève Blondin, Jean-Marc Latour, Gopalan Rajaraman, Debabrata Maiti|2018|Chemical Science|9|7843|doi:10.1039/C8SC02053A
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: 10.6073/pasta/f66a58d857b76740e03c3c48da16cc73
title: Water, Soil, Floc, Plant Total Phosphorus, Total Carbon, and Bulk Density data (FCE) from Everglades Protection Area (EPA) from 2004 to 2016

description: These data are a compillation of data from multiple sources including South Florida Water Management District (SFWMD) DBhydro web database, United States Environment Protection Agency Regional, Environmental Monitoring and Assessment (REMAP), Everglades Soil Mapping (ESM), and Florida Coastal Everglades Long Term Ecological Research (FCE-LTER). The matrix of these data were compiled for soil, surface water, floc, and plants where the nutrients are counted for total phosphorus, total carbon, and bulk density. When downloading the data from DBhydro, only regularly collected samples (SAMP) were included these data. As per DBhydro metadata, the regular samples were collected monthly by grab method throughout the year from 2004 to 2016 for SFWMD monitoring stations across the EPA. All flagged and field quality controlled values were excluded to avoid the duplication of data. In order to maintain the quality assurance/ quality control (QA/QC) the method detection limit for water TP was fixed at 2 µg/L by the SFWMD. This data set were used to assess the decadal trend of TP concentration in surface water and soil in EPA. Available data from 2004 to 2014 was collected for soils and from 2004 to 2016 for water to understand a decade of trends. Both Geographic Information System (GIS) and statistical data analysis were applied to determine changes in water quality and soil chemistry.  These data are the basis for Shishir Sarker's Master's thesis.
DOI: 10.25919/5b85d07646f6c
title: Offsets2015-2017

description: Environmental Offsets participatory analysis tool data
DOI: 10.5517/ccdc.csd.cc1kvggb
title: CCDC 1455402: Experimental Crystal Structure Determination

description: Related Article: Ülo Kersen, Andrzej Wojtczak, Alina Bienko, Julia Jezierska|2018|New J.Chem.|42|15705|doi:10.1039/C8NJ03155J
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.cc1nc7v3
title: CCDC 1530155: Experimental Crystal Structure Determination

description: Related Article: Ülo Kersen, Andrzej Wojtczak, Alina Bienko, Julia Jezierska|2018|New J.Chem.|42|15705|doi:10.1039/C8NJ03155J
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.cc1nf90d
title: CCDC 1532113: Experimental Crystal Structure Determination

description: Related Article: Lewis C. Wilkins, Nicolò Santi, Louis Y. P. Luk, Rebecca L. Melen|2017|Philos.Trans.R.Soc.London,Ser.A|375|20170009|doi:10.1098/rsta.2017.0009
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.cc206mgb
title: CCDC 1853411: Experimental Crystal Structure Determination

description: Related Article: Gang Xiong, Dan Qi, Yongke He, Lixin You, Baoyi Ren, Yaguang Sun|2018|Inorg.Chim.Acta|483|299|doi:10.1016/j.ica.2018.08.044
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.cc206mhc
title: CCDC 1853412: Experimental Crystal Structure Determination

description: Related Article: Gang Xiong, Dan Qi, Yongke He, Lixin You, Baoyi Ren, Yaguang Sun|2018|Inorg.Chim.Acta|483|299|doi:10.1016/j.ica.2018.08.044
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.cc206mkf
title: CCDC 1853414: Experimental Crystal Structure Determination

description: Related Article: Gang Xiong, Dan Qi, Yongke He, Lixin You, Baoyi Ren, Yaguang Sun|2018|Inorg.Chim.Acta|483|299|doi:10.1016/j.ica.2018.08.044
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.cc206mlg
title: CCDC 1853415: Experimental Crystal Structure Determination

description: Related Article: Gang Xiong, Dan Qi, Yongke He, Lixin You, Baoyi Ren, Yaguang Sun|2018|Inorg.Chim.Acta|483|299|doi:10.1016/j.ica.2018.08.044
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: 10.17632/t3k7tjz7ym.2
title: Data for: Identification of massive molecular markers in Echinochloa phyllopogon using restriction-site associated DNA approach

description: Table S1 SSRs for the a sample (#13) of Echinochloa phyllopogon identified by RAD sequencing Table S2 SSRs for the a sample (#04) of Echinochloa phyllopogon identified by RAD sequencing Table S3 Kind, sequence and colum of 49179 SNPs discovered between two samples of Echinochloa phyllopogon
DOI: 10.5281/zenodo.1405578
title: Recovery and analysis of transcriptome subsets from pooled single-cell RNA-seq libraries

description: Processed data files for manuscript: "Recovery and analysis of transcriptome subsets from pooled single-cell RNA-seq libraries" https://doi.org/10.1093/nar/gky1204 . Scripts for generating figures are found here: https://github.com/rnabioco/scrna-subsets
DOI: 10.5281/zenodo.1405579
title: Scrna-Subsets Processed Data Files

description: Processed data files for regenerating figures from upcoming manuscript.
DOI: 10.5517/ccdc.csd.cc206yls
title: CCDC 1853725: Experimental Crystal Structure Determination

description: Related Article: Daniel Hernández-Valdés, Giuseppe Meola, Henrik Braband, Bernhard Spingler, Roger Alberto|2018|Organometallics|37|2910|doi:10.1021/acs.organomet.8b00494
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.cc206yt0
title: CCDC 1853732: Experimental Crystal Structure Determination

description: Related Article: Daniel Hernández-Valdés, Giuseppe Meola, Henrik Braband, Bernhard Spingler, Roger Alberto|2018|Organometallics|37|2910|doi:10.1021/acs.organomet.8b00494
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.cc206yv1
title: CCDC 1853733: Experimental Crystal Structure Determination

description: Related Article: Daniel Hernández-Valdés, Giuseppe Meola, Henrik Braband, Bernhard Spingler, Roger Alberto|2018|Organometallics|37|2910|doi:10.1021/acs.organomet.8b00494
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.cc206yx3
title: CCDC 1853735: Experimental Crystal Structure Determination

description: Related Article: Daniel Hernández-Valdés, Giuseppe Meola, Henrik Braband, Bernhard Spingler, Roger Alberto|2018|Organometallics|37|2910|doi:10.1021/acs.organomet.8b00494
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.cc206yy4
title: CCDC 1853736: Experimental Crystal Structure Determination

description: Related Article: Daniel Hernández-Valdés, Giuseppe Meola, Henrik Braband, Bernhard Spingler, Roger Alberto|2018|Organometallics|37|2910|doi:10.1021/acs.organomet.8b00494
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.cc206z07
title: CCDC 1853738: Experimental Crystal Structure Determination

description: Related Article: Jie Zhang, Zuowei Xie|2018|Chin.J.Chem.|36|1041|doi:10.1002/cjoc.201800355
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.cc206z18
title: CCDC 1853739: Experimental Crystal Structure Determination

description: Related Article: Jie Zhang, Zuowei Xie|2018|Chin.J.Chem.|36|1041|doi:10.1002/cjoc.201800355
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.cc206z29
title: CCDC 1853740: Experimental Crystal Structure Determination

description: Related Article: Jie Zhang, Zuowei Xie|2018|Chin.J.Chem.|36|1041|doi:10.1002/cjoc.201800355
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.cc206z3b
title: CCDC 1853741: Experimental Crystal Structure Determination

description: Related Article: Jie Zhang, Zuowei Xie|2018|Chin.J.Chem.|36|1041|doi:10.1002/cjoc.201800355
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: 10.17632/t3k7tjz7ym.3
title: Data for: Identification of massive molecular markers in Echinochloa phyllopogon using restriction-site associated DNA approach

description: Table S1 SSRs for the a sample (#13) of Echinochloa phyllopogon identified by RAD sequencing Table S2 SSRs for the a sample (#04) of Echinochloa phyllopogon identified by RAD sequencing Table S3 Kind, sequence and colum of 49179 SNPs discovered between two samples of Echinochloa phyllopogon