cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1ytp6n
title: CCDC 1812142: Experimental Crystal Structure Determination

description: Related Article: Renata Łyszczek, Halina Głuchowska, Liliana Mazur, Bogdan Tarasiuk, Vasyl Kinzhybalo, Alexander M. Kirillov|2018|J.Solid State Chem.|265|92|doi:10.1016/j.jssc.2018.05.022
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.cc1z1rvm
title: CCDC 1818951: Experimental Crystal Structure Determination

description: Related Article: L.A. Saghatforoush, S. Hosseinpour, M.W. Bezpalko, W. Scott Kassel|2018|Inorg.Chim.Acta|484|527|doi:10.1016/j.ica.2018.04.053
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.cc1z1rwn
title: CCDC 1818952: Experimental Crystal Structure Determination

description: Related Article: L.A. Saghatforoush, S. Hosseinpour, M.W. Bezpalko, W. Scott Kassel|2018|Inorg.Chim.Acta|484|527|doi:10.1016/j.ica.2018.04.053
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.cc1z21kn
title: CCDC 1819221: Experimental Crystal Structure Determination

description: Related Article: Suven Das, Purak Das, Suvendu Maity, Prasanta Ghosh, Bijan K. Paul, Arpita Dutta|2018|J.Mol.Struct.|1168|234|doi:10.1016/j.molstruc.2018.05.033
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.cc1z3spk
title: CCDC 1820899: Experimental Crystal Structure Determination

description: Related Article: Daiki Fujita, Hideki Sugimoto, Yuma Morimoto, Shinobu Itoh|2018|Inorg.Chem.|57|9738|doi:10.1021/acs.inorgchem.8b00289
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.cc1z9hrj
title: CCDC 1826388: Experimental Crystal Structure Determination

description: Related Article: V.Ya. Kavun, R.L. Davidovich, A.A. Udovenko, M.M. Polyantsev, V.B. Logvinova|2018|J.Fluorine Chem.|212|13|doi:10.1016/j.jfluchem.2018.05.006
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: 10.17632/27vvrjrxkz.1
title: Data for: Ozone disrupts adsorption of Rhododendron tomentosum volatiles to neighbouring plant surfaces, but does not disturb herbivore repellency

description: Volatile and oviposition from lab based volatile experiments
DOI: 10.17632/jyttfh4vt4.2
title: Survey dataset on mutualistic interactions among the Euterpe edulis Mart. (Arecaceae) and floral and frugivorous visitors considering the influence of neighborhood plant density and the availability of resources

description: The data presented is supporting the research article “Effects of the neighborhood on the pollination and seed dispersal of a threatened palm” [1]. We recorded the interactions with floral and frugivorous visitors and eleven individuals of the threatened Euterpe edulis palm in Brazil. We thus provide two datasets, one for interactions with floral visitors (Pollination data.xlsx) and other for the frugivorous visitors (Seed dispersal data.xlsx). Both datasets are structured in eight types of spreadsheets: two about the observed interactions among Euterpe edulis palm and the floral and frugivorous visitors; two response variables (frequency and assembly composition); four predictor variables (conspecific aggregation, basal area, number of rachillae/fruits, flower in anthesis/ripe fruits).
DOI: 10.21227/h28d5v
title: test 20180517a
DOI: 10.15138/g35s7z
title: Simulated observations of atmospheric carbon dioxide from CarbonTracker release CT2017 (obspack_co2_1_CARBONTRACKER_CT2017_2018-05-02), including measured values from a multi-laboratory compilation of CO2 observations
DOI: 10.17632/66prg82y7j.1
title: Data: Sound Localisation with Bicycle helmet and Motorcycle helmet

description: Sound localisation with helmets
DOI: 10.17632/yz24bnjhps.3
title: GeoChess Data

description: Electoral geomarketing data from Valencia, Spain. Census districts, electoral data of the elections of 2015, and geodemographical variables. The files without ‘norm’ in its name, contain the absolute values of the variables, that is, the number of people of each type in each census district. The files called *norm* are normalized. That means that the the number of people in each variable (old population, second level studies, …, that is the number of people of that type in each census district) are divided by the total of population in each census district, to obtain percentages. So the values of people in each field are in percentage, respect the total of population of the census district. File description: • sec_cen_valencia_shp.zip: ESRI shapefile format for the census districts data. Contains the census district geometries for GIS users. • sec_cen_valencia__norm_shp.zip: ESRI shapefile format for the census districts normalized data. Contains the census district geometries for GIS users. • sec_cen_valencia.csv: census districts data in text comma separated format. • sec_cen_valencia_norm.csv: normalized census districts data in text comma separated format • DatabaseFieldDescription.txt: database field names and content description
DOI: 10.5281/zenodo.1248065
title: E-Participation Survey In Portugal

description: The data set is the result of an electronic questionnaire applied in the city of Cascais for the users of participatory budgeting. In total there are 210 valid responses. The questions are based on two theories: empowerment and UTAUT.
DOI: 10.5281/zenodo.1248066
title: E-Participation Survey In Portugal

description: The data set is the result of an electronic questionnaire applied in the city of Cascais for the users of participatory budgeting. In total there are 210 valid responses. The questions are based on two theories: empowerment and UTAUT.
DOI: 10.14455/nrct.fas.2018.4
title: โครงการอนุรักษ์พันธุกรรมพืชอันเนื่องมาจากพระราชดำริ สมเด็จพระเทพรัตนราชสุดาฯ สยามบรมราชกุมารี (อพ.สธ.)
DOI: 10.14455/nrct.fas.2018.7
title: โครงการอ่างเก็บน้ำห้วยโทกพร้อมระบบส่งน้ำ จังหวัดลำพูน อันเนื่องมาจากพระราชดำริ
DOI: 10.14455/nrct.img.2018.16
title: “คลองภักดีรำไพ” โครงการบรรเทาอุทกภัยเมืองจันทบุรี อันเนื่องมาจากพระราชดำริ
DOI: 10.14455/nrct.fas.2018.8
title: โครงการประตูระบายน้ำฝายท่ากระดาน จังหวัดกำแพงเพชร
DOI: 10.4225/23/5afbf8fc55ed1
title: Observations of large-amplitude mode-2 nonlinear internal waves on the Australian North West Shelf
DOI: 10.5517/ccdc.csd.cc1zgj54
title: CCDC 1831206: Experimental Crystal Structure Determination

description: Related Article: Bougar Sarr, Cheikh A.K. Diop, Frederic Melin, Mamadou Sidibe, Petra Hellwig, Francois Michaud, Francis Maury, Francois Senocq, Abdou Mbaye, Yoann Rousselin|2018|J.Mol.Struct.|1170|44|doi:10.1016/j.molstruc.2018.05.055
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.cc1zgplq
title: CCDC 1831374: Experimental Crystal Structure Determination

description: Related Article: Xintong Han, Kesheng Shen, Guozhen Huang, Chuang Li, Shanshan Mao, Xinkui Shi, Huilu Wu|2018|J.Mol.Struct.|1169|18|doi:10.1016/j.molstruc.2018.05.058
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.cc1zgpns
title: CCDC 1831376: Experimental Crystal Structure Determination

description: Related Article: Xintong Han, Kesheng Shen, Guozhen Huang, Chuang Li, Shanshan Mao, Xinkui Shi, Huilu Wu|2018|J.Mol.Struct.|1169|18|doi:10.1016/j.molstruc.2018.05.058
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/dmc93c7z69.1
title: Data for: Alterations in the transcription factors GntR1 and RamA enhance the growth and central metabolism of Corynebacterium glutamicum

description: A summary of the genomic re-sequencing results can also be seen in Supplementary Data 1. The detailed information regarding the transcriptomics analysis is provided in Supplementary Data 2. The raw measured and fitted labelling data for metabolic flux analysis can be found in Supplementary data 3.
DOI: 10.5517/ccdc.csd.cc1z3smh
title: CCDC 1820897: Experimental Crystal Structure Determination

description: Related Article: Daiki Fujita, Hideki Sugimoto, Yuma Morimoto, Shinobu Itoh|2018|Inorg.Chem.|57|9738|doi:10.1021/acs.inorgchem.8b00289
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.1217593
title: Gold Standard Corpus, Ontologies, And Entity-Quality Ontology Annotations For Evolutionary Phenotypes

description: This data set includes a gold-standard corpus of evolutionary phenotype descriptions (in the form of character state descriptions pulled from a variety of phylogenetic systematics studies), and their corresponding expert-curated annotations with ontology terms in the form of Entity-Quality (EQ) statements. EQ annotatons allow machine-reasoning (through the semantics encoded in the requisite ontologies from which the ontology terms are drawn), and machine-reasoning in turn enables computing metrics for quantifying the semantic similarity between different phenotype descriptions as represented by their EQ annotations.

Also included are the ontologies, and the human expert-generated and Semantic Charaparser (i.e., machine) generated EQ annotations used to assess Semantic Charaparser performance relative to inter-curator variation and to the effect of having access to external knowledge. The ontologies include those used as input, the "augmented" ontologies created by human curators in each experiment round, and the merged ontology used to maximize Semantic Charaparser's performance.

The production of the gold standard corpus, annotation experiments, and evaluation of the results are described in detail in the following manuscript:


Dahdul et al (2018) Annotation of phenotypes using ontologies: a Gold Standard for the training and evaluation of natural language processing systems. BioRxiv https://doi.org/10.1101/322156. Submitted to Database.


The analysis code for evaluating the gold standard corpus (and the input data and ontologies for that) are available separately from the following:


Manda et al (2018) Code and data for analysis of evolutionary phenotype ontology annotations and gold standard corpus. Zenodo. https://doi.org/10.5281/zenodo.1218010


In comparison to the previous version (v1.0.0), this record includes a file of MD5 checksums of the Gold Standard data files. The data files themselves are unchanged.
DOI: 10.5281/zenodo.1217594
title: Gold Standard Corpus, Ontologies, And Entity-Quality Ontology Annotations For Evolutionary Phenotypes

description: This data set includes a gold-standard corpus of evolutionary phenotype descriptions (in the form of character state descriptions pulled from a variety of phylogenetic systematics studies), and their corresponding expert-curated annotations with ontology terms in the form of Entity-Quality (EQ) statements. EQ annotatons allow machine-reasoning (through the semantics encoded in the requisite ontologies from which the ontology terms are drawn), and machine-reasoning in turn enables computing metrics for quantifying the semantic similarity between different phenotype descriptions as represented by their EQ annotations.

Also included are the ontologies, and the human expert-generated and Semantic Charaparser (i.e., machine) generated EQ annotations used to assess Semantic Charaparser performance relative to inter-curator variation and to the effect of having access to external knowledge. The ontologies include those used as input, the "augmented" ontologies created by human curators in each experiment round, and the merged ontology used to maximize Semantic Charaparser's performance.

The production of the gold standard corpus, annotation experiments, and evaluation of the results are described in detail in the following manuscript:


Dahdul et al (2018) Annotation of phenotypes using ontologies: a Gold Standard for the training and evaluation of natural language processing systems. BioRxiv https://doi.org/10.1101/322156. Submitted to Database.


The analysis code for evaluating the gold standard corpus (and the input data and ontologies for that) are available separately from the following:


Manda et al (2018) Code and data for analysis of evolutionary phenotype ontology annotations and gold standard corpus. Zenodo. https://doi.org/10.5281/zenodo.1218010
DOI: 10.5517/ccdc.csd.cc1z3snj
title: CCDC 1820898: Experimental Crystal Structure Determination

description: Related Article: Daiki Fujita, Hideki Sugimoto, Yuma Morimoto, Shinobu Itoh|2018|Inorg.Chem.|57|9738|doi:10.1021/acs.inorgchem.8b00289
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.cc1z419g
title: CCDC 1821135: Experimental Crystal Structure Determination

description: Related Article: Daiki Fujita, Hideki Sugimoto, Yuma Morimoto, Shinobu Itoh|2018|Inorg.Chem.|57|9738|doi:10.1021/acs.inorgchem.8b00289
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.1249022
title: Sparks Et Al, Heterogeneity In Tumor Chromatin-Doxorubicin Binding Revealed By In Vivo Fluorescence Lifetime Imaging Confocal Endomicroscopy: In Vivo Data

description: Data is divided into three folders:


	Sparks_et_al_FIG_6_IP_intranodule_heterogeneity
	
		data for Sparks et al Figure 6
		main text section: <em>'FRET between  chromatin-bound GFP and doxorubicin'</em>
	
	
	Sparks_et_al_FIG4_5_6_IP_IV_chemo_comparison
	
		data for Sparks et al Figures 4,5 & 6
		main text section:<em> 'FLIM endomicroscope can monitor doxorubicin cellular uptake'</em>
	
	
	Sparks_et_al_FIG6_IP__internodule_heterogeneity
	
		data for Sparks et al Figure 6
		main text section: <em>'Intra-tumor heterogeneity'</em>
	
	


<strong>In vivo experiments</strong>

Murine xenografts were prepared by intraperitoneal (IP) injection of IGROV-1 cancer cells. IGROV-1 cells were grown to 80% confluence before being trypsinized and re‑suspended in PBS at a concentration of  cells per ml.  cells were injected into ICRF nude mice. After 14 days post-injection, the presence of intraperitoneal tumors was confirmed by bioluminescence imaging. Briefly, an IVIS bioluminescence imaging system was used to image isoflurane anesthetized mice. 100 µl of D-luciferin (luciferase substrate) at 30mg ml<sup>-1</sup> was injected IP 10 minutes before recording of bioluminescence images. The presence of peritoneal tumors was confirmed if bioluminescence signals from the peritoneum were above background noise 10-30 minutes after D‑luciferin injections. Following confirmation of tumors, in vivo fluorescence imaging experiments were carried out after 21 days. To study differences in drug uptake between intravenous or intraperitoneal delivery, prior to imaging mice were subject to IP or IV doxorubicin-based chemotherapy for 1.5, 3 or 24 hours. Imaging involved terminal procedures, mice were anesthetized then peritoneal tumors were exposed by minor surgery and inspected with the CEM.

All animal model procedures were approved by The Francis Crick Institute Biological Ethics Committee and UK Home Office authority provided by Project License 70/8380.
DOI: 10.5281/zenodo.1249023
title: Sparks Et Al, Heterogeneity In Tumor Chromatin-Doxorubicin Binding Revealed By In Vivo Fluorescence Lifetime Imaging Confocal Endomicroscopy: In Vivo Data

description: Data is divided into three folders:


	Sparks_et_al_FIG_6_IP_intranodule_heterogeneity
	
		data for Sparks et al Figure 6
		main text section: <em>'FRET between  chromatin-bound GFP and doxorubicin'</em>
	
	
	Sparks_et_al_FIG4_5_6_IP_IV_chemo_comparison
	
		data for Sparks et al Figures 4,5 & 6
		main text section:<em> 'FLIM endomicroscope can monitor doxorubicin cellular uptake'</em>
	
	
	Sparks_et_al_FIG6_IP__internodule_heterogeneity
	
		data for Sparks et al Figure 6
		main text section: <em>'Intra-tumor heterogeneity'</em>
	
	


<strong>In vivo experiments</strong>

Murine xenografts were prepared by intraperitoneal (IP) injection of IGROV-1 cancer cells. IGROV-1 cells were grown to 80% confluence before being trypsinized and re‑suspended in PBS at a concentration of  cells per ml.  cells were injected into ICRF nude mice. After 14 days post-injection, the presence of intraperitoneal tumors was confirmed by bioluminescence imaging. Briefly, an IVIS bioluminescence imaging system was used to image isoflurane anesthetized mice. 100 µl of D-luciferin (luciferase substrate) at 30mg ml<sup>-1</sup> was injected IP 10 minutes before recording of bioluminescence images. The presence of peritoneal tumors was confirmed if bioluminescence signals from the peritoneum were above background noise 10-30 minutes after D‑luciferin injections. Following confirmation of tumors, in vivo fluorescence imaging experiments were carried out after 21 days. To study differences in drug uptake between intravenous or intraperitoneal delivery, prior to imaging mice were subject to IP or IV doxorubicin-based chemotherapy for 1.5, 3 or 24 hours. Imaging involved terminal procedures, mice were anesthetized then peritoneal tumors were exposed by minor surgery and inspected with the CEM.

All animal model procedures were approved by The Francis Crick Institute Biological Ethics Committee and UK Home Office authority provided by Project License 70/8380.
DOI: 10.5517/ccdc.csd.cc1pt3f1
title: CCDC 1573263: Experimental Crystal Structure Determination

description: Related Article: Ren-Tsung Wu,  Xiaodong Chi,  Takehiro Hirao,  Vincent M. Lynch,  Jonathan L. Sessler|2018|J.Am.Chem.Soc.|140|6823|doi:10.1021/jacs.7b12957
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.cc1pt3g2
title: CCDC 1573264: Experimental Crystal Structure Determination

description: Related Article: Ren-Tsung Wu,  Xiaodong Chi,  Takehiro Hirao,  Vincent M. Lynch,  Jonathan L. Sessler|2018|J.Am.Chem.Soc.|140|6823|doi:10.1021/jacs.7b12957
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.cc1ytp3k
title: CCDC 1812139: Experimental Crystal Structure Determination

description: Related Article: Renata Łyszczek, Halina Głuchowska, Liliana Mazur, Bogdan Tarasiuk, Vasyl Kinzhybalo, Alexander M. Kirillov|2018|J.Solid State Chem.|265|92|doi:10.1016/j.jssc.2018.05.022
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.cc1z01yz
title: CCDC 1817311: Experimental Crystal Structure Determination

description: Related Article: Xuewen He,  Zheng Zhao,  Ling-Hong Xiong,  Peng Fei Gao,  Chen Peng,  Rong Sheng Li,  Yu Xiong,  Zhi Li,  Herman H.-Y. Sung,  Ian D. Williams,  Ryan T. K. Kwok,  Jacky W. Y. Lam,  Cheng Zhi Huang,  Nan Ma,  Ben Zhong Tang|2018|J.Am.Chem.Soc.|140|6904|doi:10.1021/jacs.8b02350
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.cc1z6hk7
title: CCDC 1823499: Experimental Crystal Structure Determination

description: Related Article: Guofeng Liu,  Jianhui Sheng,  Hongwei Wu,  Chaolong Yang,  Guangbao Yang,  Yongxin Li,  Rakesh Ganguly,  Liangliang Zhu,  Yanli Zhao|2018|J.Am.Chem.Soc.|140|6467|doi:10.1021/jacs.8b03309
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.