cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/bcnnms3dp6.1
title: Raw germination data used in fig 4 and fig 6

description: The data in “*.csv” are the raw data of germination experiments. One line represents one seed. The column “time” contain the time of the observation of the germination of this precise seed. Status = 1 if the germination of the seed is observed. Status = 0, if the seed did not germinate at the end of the experiment (right censor). “Experiment” column represents a number which identify independent experiment made at different days. The two following tables are a summary of the statistical analysis that can be obtained from raw data with R script. One example of script (the file “example of script.R”) is given to improve the reproducibility and the transparence of the statistical analysis used.
DOI: 10.17632/cfhz4pm3sd.1
title: Firm-level Enterprise and Innovation

description: The dataset is accessed from the World Bank Enterprise portal. It consists of the enterprise and Innovation Follow-up Surveys for 2012-2015 (i.e., WBES & IFS). The contents of the survey align with both the Community Innovation Survey (CIS) and the methodological procedures outlined in the Oslo Manual (OECD, 1997, 2005). The number of firms in the survey after merging both surveys with the unique firms' identifiers sums up to 8756 of which 3702 can be categorized as innovators. Innovative firms report whether they introduce a product, process, marketing, or an organizational innovation in the previous years.
DOI: 10.17632/n4vf4ttkj2.1
title: Preservation of the soft protein corona in distinct flow allows identification of weakly bound proteins
DOI: 10.17632/nwwzjt4dbp.1
title: Data for: In situ analysis of deformation modes and stress evolution in embedded grains within a magnesium polycrystalline
DOI: 10.4225/08/5b177a6b5b131
title: Parkes observations for project P456 semester 2018APRS_02

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: 10.5281/zenodo.1283401
title: 16S Amplicon Sequence Variants, Taxonomy & Metadata

description: Amplicon sequence variants (ASVs) and associated taxonomy called using DADA2 (v1.6.0) and Silva 16S database v132, along with anonymized specimen metadata.

File list:


	Specimen_Table.csv: contains specimen type, subject id, and study day for each specimen collected.
	seqtab.rds: ASVs for each specimen (rownames correlate to specimen_id2 in specimen table)
	taxa.rds: taxonomic assignments for each ASV in seqtab.rds
DOI: 10.5517/ccdc.csd.cc1z2sys
title: CCDC 1819946: Experimental Crystal Structure Determination

description: Related Article: Masato Kuwahara, Masaaki Nishioka, Masato Yoshida, Ken‐ichi Fujita|2018|ChemCatChem|10|3636|doi:10.1002/cctc.201800680
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.cc1z4r2y
title: CCDC 1821810: Experimental Crystal Structure Determination

description: Related Article: Qing He, Neil J. Williams, Ju Hyun Oh, Vincent M. Lynch, Sung Kuk Kim, Bruce A. Moye, Jonathan L. Sessler|2018|Angew.Chem.,Int.Ed.|57|11924|doi:10.1002/anie.201805127
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.cc1z4r3z
title: CCDC 1821811: Experimental Crystal Structure Determination

description: Related Article: Qing He, Neil J. Williams, Ju Hyun Oh, Vincent M. Lynch, Sung Kuk Kim, Bruce A. Moye, Jonathan L. Sessler|2018|Angew.Chem.,Int.Ed.|57|11924|doi:10.1002/anie.201805127
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.cc1z4r51
title: CCDC 1821813: Experimental Crystal Structure Determination

description: Related Article: Qing He, Neil J. Williams, Ju Hyun Oh, Vincent M. Lynch, Sung Kuk Kim, Bruce A. Moye, Jonathan L. Sessler|2018|Angew.Chem.,Int.Ed.|57|11924|doi:10.1002/anie.201805127
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.cc1z4r62
title: CCDC 1821814: Experimental Crystal Structure Determination

description: Related Article: Qing He, Neil J. Williams, Ju Hyun Oh, Vincent M. Lynch, Sung Kuk Kim, Bruce A. Moye, Jonathan L. Sessler|2018|Angew.Chem.,Int.Ed.|57|11924|doi:10.1002/anie.201805127
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.cc1z4r73
title: CCDC 1821815: Experimental Crystal Structure Determination

description: Related Article: Qing He, Neil J. Williams, Ju Hyun Oh, Vincent M. Lynch, Sung Kuk Kim, Bruce A. Moye, Jonathan L. Sessler|2018|Angew.Chem.,Int.Ed.|57|11924|doi:10.1002/anie.201805127
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/n55bpy5bsr.1
title: ORTHOPOLY: A library for accurate evaluation of series of classical orthogonal polynomials and their derivatives

description: We present the ORTHOPOLY software that permits to evaluate, efficiently and accurately, finite series of any classical family of orthogonal polynomials (Chebyshev, Legendre, ultraspherical or Gegenbauer, Jacobi, Hermite and Laguerre orthogonal polynomials) and their derivatives. The basic algorithm is the BCS-algorithm (Barrio-Clenshaw-Smith derivative algorithm), that permits to evaluate the th derivative of a finite series of orthogonal polynomials at any point without obtaining before the previous derivatives. Due to the presence of rounding errors, specially in the case of high order derivatives, we introduce the compensated BCS-algorithm, based on Error-Free Transformation techniques, that permits to relegate the influence of the conditioning of the problem up to second order in the round-off unit of the computer. The BCS and compensated BCS algorithms may also give running-error bounds to provide information about the accuracy of the evaluation process. The ORTHOPOLY software includes C and Matlab versions of all the algorithms, and they are designed to be easily used in longer softwares to solve physical, mathematical, chemical or engineering problems (illustrated on the Schrödinger equation for the radial hydrogen atom).
DOI: 10.17632/prprgr87zw.1
title: Wasted efforts and knowledge without context: Case Accession of Bosnia and Herzegovina to the European Union

description: Research data related to science paper "Wasted efforts and knowledge without context: Case Accession of Bosnia and Herzegovina to the European Union" submitted for Government Information Quarterly. Includes publicly available answers which Bosnia and Herzegovina provided to EU commission.
DOI: 10.5281/zenodo.1255740
title: Snowpack Ensemble Simulations At The Kühtai Snow Monitoring Station

description: This dataset presents an ensemble of 230000 point-scale snowpack simulations at the snow monitoring station Kühtai (Tyrol, Austria) over the course of 25 winter seasons. The dataset splits in simulations for various sensitivity analysis designs: i.e. to assess the sensitivity of  1) forcing data error, model structure, and parametrization, 2) different forcing variables while perturbing model structure and parametrization, 3) model structures while perturbing forcing errors and parametrization.
DOI: 10.5281/zenodo.1255741
title: Snowpack Ensemble Simulations At The Kühtai Snow Monitoring Station

description: This dataset presents an ensemble of 230000 point-scale snowpack simulations at the snow monitoring station Kühtai (Tyrol, Austria) over the course of 25 winter seasons. The dataset splits in simulations for various sensitivity analysis designs: i.e. to assess the sensitivity of  1) forcing data error, model structure, and parametrization, 2) different forcing variables while perturbing model structure and parametrization, 3) model structures while perturbing forcing errors and parametrization.
DOI: 10.5281/zenodo.1268352
title: Simple Distance Estimates For Gaia Dr2 Stars With Radial Velocities

description: Bayesian distance estimates for stars with radial velocities and parallaxes published in <em>Gaia</em> DR2. Our method and prior is designed to apply to this specific subset of stars in <em>Gaia</em> DR2.

The method is published in "Simple distance estimates for Gaia DR2 stars with radial velocities", McMillan 2018, arXiv:1806.00426

The code used to produce the estimates is here: https://doi.org/10.5281/zenodo.1270548
DOI: 10.5281/zenodo.1268353
title: Simple Distance Estimates For Gaia Dr2 Stars With Radial Velocities

description: Bayesian distance estimates for stars with radial velocities and parallaxes published in <em>Gaia</em> DR2. Our method and prior is designed to apply to this specific subset of stars in <em>Gaia</em> DR2.

The method is published in "Simple distance estimates for Gaia DR2 stars with radial velocities", McMillan 2018, arXiv:1806.00426

The code used to produce the estimates is here: https://doi.org/10.5281/zenodo.1270548
DOI: 10.5517/ccdc.csd.cc1z4r84
title: CCDC 1821816: Experimental Crystal Structure Determination

description: Related Article: Qing He, Neil J. Williams, Ju Hyun Oh, Vincent M. Lynch, Sung Kuk Kim, Bruce A. Moye, Jonathan L. Sessler|2018|Angew.Chem.,Int.Ed.|57|11924|doi:10.1002/anie.201805127
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.cc1z4r95
title: CCDC 1821817: Experimental Crystal Structure Determination

description: Related Article: Qing He, Neil J. Williams, Ju Hyun Oh, Vincent M. Lynch, Sung Kuk Kim, Bruce A. Moye, Jonathan L. Sessler|2018|Angew.Chem.,Int.Ed.|57|11924|doi:10.1002/anie.201805127
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.cc1z6b9t
title: CCDC 1823336: Experimental Crystal Structure Determination

description: Related Article: Yao Wang, Minghui He, Xiaoxia Gao, Saidan Li, Shun-shun Xiong, Rajamani Krishna, Yabing He|2018|ACS Applied Materials and Interfaces|10|20559|doi:10.1021/acsami.8b05216
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.cc1z6bbv
title: CCDC 1823337: Experimental Crystal Structure Determination

description: Related Article: Yao Wang, Minghui He, Xiaoxia Gao, Saidan Li, Shun-shun Xiong, Rajamani Krishna, Yabing He|2018|ACS Applied Materials and Interfaces|10|20559|doi:10.1021/acsami.8b05216
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: 10.1285/i15900932v36suppl1p115
title: Index
DOI: 10.1285/i15900932v36suppl1p91
title: The influence of minimal subgroups on saturated fusion systems

description: Let $\cal F$ be a saturated fusion system over a \py group $S$. In this paper, we investigate the influence of the minimal subgroups  in $\mathfrak{foc}(\mathcal{F})$, the focal subgroup of $\cal F$. Our main result is that if for each cyclic subgroup $P\leq \mathfrak{foc}(\mathcal{F})$ of order $p$ (of order $2$ and $4$ if $p=2$) and each $\varphi\in \sHom_{\cal F}(P,\mathfrak{foc}(\mathcal{F}))$, $\varphi$ extends to an automorphism of $S$, then $S$ is normal in $\cal F$. We also give several applications of this result
DOI: 10.25810/es52-xr23.2
title: Canadian Newspaper Coverage of Climate Change or Global Warming, 2004-2018 - May 2018

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.15129/ad1ea78f-4b2a-474b-9710-6635c7a7381b
title: Data for: "Insights into mechanism and selectivity in ruthenium(II)-catalysed ortho-arylation reactions directed by Lewis basic groups"

description: Dataset for Catal Sci Technol 2018 paper of the same name (McIntyre et. al.). NMR spectroscopic raw data, largely in a proprietary format (Bruker Topspin 3) but with an 'fid' file that can be opened with any NMR data processing software (i.e. by processing the raw free induction decay data).
DOI: 10.5258/soton/d0492
title: Dataset to accompany 'Asymmetric transfer of CO2 across a broken sea surface' (T.G.Leighton et al., 2018)

description: This the the dataset to accompany 'Dataset to accompany 'Asymmetric transfer of CO2 across a broken sea surface' (T.G.Leighton et al., 2018)' published in Nature Scientific Reports in 2018.
DOI: 10.5281/zenodo.1251830
title: Soil Moisture Maps Of Ukraine Based On Smap Satellite Data, Vegetation Season 2018

description: A set of soil moisture maps of Ukraine based on SMAP satellite data

Product: SMAP Enhanced L3 Radiometer Global Daily 9 km EASE-Grid Soil Moisture V001

Vegetation season 2018
DOI: 10.5281/zenodo.1261100
title: The Intergroup Bias Of Empathy Among Incoming Medical Students

description: Dataset linked to the short communication named: "The Intergroup Bias of Empathy among Incoming Medical Students".
DOI: 10.5281/zenodo.1261101
title: The Intergroup Bias Of Empathy Among Incoming Medical Students

description: Dataset linked to the short communication named: "The Intergroup Bias of Empathy among Incoming Medical Students".
DOI: 10.15128/r2s1784k734
title: Segments of straws [dataset]

description: Each row of the file represents one segment. The first two columns are x-coordinates and y-coordinates of beginning points of each segment and the third, fourth columns are coordinates of endpoints. The fifth and sixth columns are m and b values of the straight line function y=mx+b of segments.
description: The experiment is performed to test Bertrand's paradox by tossing straws on a circle. This collection consists of data of 3639 times of experiments.
description: Real experimentation, mathematical derivation and computer simulation.
DOI: 10.15151/esrf-es-39438105
title: Integrated Ligand Screening Pipelines
DOI: 10.5281/zenodo.1261216
title: Improving The Drug Discovery Process By Using Multiple Classifier Systems

description: High-quality dataset gathered from ChEMBL version 22 based on UniProt accession P34972. Regarding to activity data potential, duplicates were ignored, no activity or data validity comments were allowed, only data from binding assays and with a pCheMBL value were kept. This led to a dataset composed of 3925 chemical compounds (instances) represented using 2132 features. The first 2048 features epitomize different chemical structures fingerprints (represented using FCFP_6 notation), while the remaining 84 are associated with several physicochemical descriptors (such as Fractional Polar Surface Area, Rotatable Bonds or Molecular Weight). Finally, the set was transformed into a binary classification set where the activity cut-off was defined at a pChEMBL value &gt; 7 and written to a tab-delimited text file. The final set contained 1977 active compounds and 1948 inactive compounds. Table 3 shows the codification of each feature grouped by type.
DOI: 10.5281/zenodo.1261217
title: Improving The Drug Discovery Process By Using Multiple Classifier Systems

description: High-quality dataset gathered from ChEMBL version 22 based on UniProt accession P34972. Regarding to activity data potential, duplicates were ignored, no activity or data validity comments were allowed, only data from binding assays and with a pCheMBL value were kept. This led to a dataset composed of 3925 chemical compounds (instances) represented using 2132 features. The first 2048 features epitomize different chemical structures fingerprints (represented using FCFP_6 notation), while the remaining 84 are associated with several physicochemical descriptors (such as Fractional Polar Surface Area, Rotatable Bonds or Molecular Weight). Finally, the set was transformed into a binary classification set where the activity cut-off was defined at a pChEMBL value &gt; 7 and written to a tab-delimited text file. The final set contained 1977 active compounds and 1948 inactive compounds. Table 3 shows the codification of each feature grouped by type.
DOI: 10.1285/i18252273v3nsp1p0
title: Pagine iniziali e Indice
DOI: 10.1285/i18252273v3nsp1p1
title: Obiettivi del Progetto BIG = Scope of the BIG project
DOI: 10.1285/i18252273v3nsp1p11
title: Lago di Varano = Lake Varano
DOI: 10.1285/i18252273v3nsp1p17
title: Saline di Margherita di Savoia = Saline of Margherita di Savoia
DOI: 10.1285/i18252273v3nsp1p27
title: Torre Guaceto = Torre Guaceto
DOI: 10.1285/i18252273v3nsp1p3
title: Lago di Lesina = Lake Lesina
DOI: 10.15156/bio/sh0803866.10fu
title: SH0803866.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0803867.10fu
title: SH0803867.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0803868.10fu
title: SH0803868.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.