cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rz42b97px5.1
title: qha: A Python package for quasiharmonic free energy calculation for multi-configuration systems

description: In this work, we present a Python package, qha, which can calculate the equation of state and various thermodynamic properties of both single- and multi-configuration crystalline materials within a user-specified pressure and temperature range in the framework of the quasi-harmonic approximation (QHA). Two examples, one for single-configuration calculation and the other for multi-configuration calculation, are also distributed along with source code. Apart from its versatility, qha has been tested to be both accurate and computationally efficient.
DOI: 10.5281/zenodo.2276784
title: ALSPAC peer reviewed publications 1989-2015

description: List of peer reviewed publications generated from the Avon Longitudinal Study of Parents and Children (ALSPAC) data from 1989 to the end of 2015.
DOI: 10.5281/zenodo.2276785
title: ALSPAC peer reviewed publications 1989-2015

description: List of peer reviewed publications generated from the Avon Longitudinal Study of Parents and Children (ALSPAC) data from 1989 to the end of 2015.
DOI: 10.14457/cmu.res.2010.562
title: ภาวะสุขภาพช่องปากที่สัมพันธ์กับคุณภาพชีวิตของเด็กประถมศึกษา อำเภอแม่แจ่ม จังหวัดเชียงใหม่
DOI: 10.14457/cmu.res.2010.563
title: พฤติกรรมและความพึงพอใจของลูกค้าที่ใช้บริการธนาคารทางอินเตอร์เน็ตของธนาคารทหารไทย จำกัด [มหาชน] ในเขตอำเภอเมือง จังหวัดเชียงใหม่
DOI: 10.14457/cmu.res.2010.564
title: พฤติกรรมของผู้บริโภคท้องถิ่นต่อการเลือกร้านอาหารในอำเภอพาน จังหวัดเชียงราย
DOI: 10.17632/5gmpkdwcz4.1
title: hESC-based human glial chimeric mice reveal glial differentiation defects in Huntington disease

description: Huntington’s disease (HD) is characterized by hypomyelination as well as neuronal loss. To assess the basis for myelin loss in HD, we generated bipotential glial progenitor cells (GPCs) from human embryonic stem cells (hESCs), derived from huntingtin (mHTT)-mutant embryos or normal controls, and performed RNAseq to assess mHTT-dependent changes in gene expression. In hGPCs derived from 3 mHTT hESC lines, transcription factors associated with glial differentiation and myelin synthesis were sharply down-regulated relative to normal hESC GPCs; NKX2.2, OLIG2, SOX10, MYRF and their downstream targets were all suppressed. Accordingly, when mHTT hGPCs were transplanted into hypomyelinated shiverer mice, the resultant glial chimeras were hypomyelinated; this defect could be rescued by forced expression of SOX10 and MYRF by mHTT hGPCs. The mHTT hGPCs also manifested impaired astrocytic differentiation, and developed abnormal fiber architecture. White matter involution in HD is thus a product of the cell autonomous, mHTT-dependent suppression of glial differentiation.
DOI: 10.17632/82b8sdft79.1
title: CADISHI: Fast parallel calculation of particle-pair distance histograms on CPUs and GPUs

description: We report on the design, implementation, optimization, and performance of the CADISHI software package, which calculates histograms of pair-distances of ensembles of particles on CPUs and GPUs. These histograms represent 2-point spatial correlation functions and are routinely calculated from simulations of soft and condensed matter, where they are referred to as radial distribution functions, and in the analysis of the spatial distributions of galaxies and galaxy clusters. Although conceptually simple, the calculation of radial distribution functions via distance binning requires the evaluation of O(N^2) particle-pair distances where N is the number of particles under consideration. CADISHI provides fast parallel implementations of the distance histogram algorithm for the CPU and the GPU, written in templated C++ and CUDA. Orthorhombic and general triclinic periodic boxes are supported, in addition to the non-periodic case. The CPU kernels feature cache-blocking, vectorization and thread-parallelization to obtain high performance. The GPU kernels are tuned to exploit the memory and processor features of current GPUs, demonstrating histogramming rates of up to a factor 40 higher than on a high-end multi-core CPU. To enable high-throughput analyses of molecular dynamics trajectories, the compute kernels are driven by the Python-based CADISHI engine. It implements a producer–consumer data processing pattern and thereby enables the complete utilization of all the CPU and GPU resources available on a specific computer, independent of special libraries such as MPI, covering commodity systems up to high-end HPC nodes. Data input and output are performed efficiently via HDF5. In addition, our CPU and GPU kernels can be compiled into a standard C library and used with any application, independent from the CADISHI engine or Python. The CADISHI software is freely available under the MIT license.
DOI: 10.17632/8n92hc8fbd.1
title: NOMAD VR: Multiplatform virtual reality viewer for chemistry simulations

description: We describe a suite of open source virtual reality programs which can be used to visualize the results of chemical simulations of various types (including access to NOMAD, the largest database of materials science compounds). The programs target virtual reality environments at different price points (M€ CAVE-like systems, commercial products such as the ~500€ HTC Vive, ~100€ Samsung GearVR, to ~10€ Google Cardboards) in order to let final users select the device which best suits their needs. We provide a coherent interface, with graceful degradation of features for less capable devices. Tests with final users in the domains of materials science, theoretical chemistry, biochemistry and biological sciences show that the program can be used to solve certain problems much more easily and intuitively than with previous tools. Users in other fields (fluid dynamics, or climate research) were also interested in adopting the system. Applications to teaching, dissemination, outreach and marketing have also been successful. The system is currently implanted in several universities and enterprises. Additionally, outreach materials in the form of stereoscopic (panoramic) videos can be easily prepared from the viewer’s output or the visualization pipeline. We describe the design and implementation of the system, and mention some caveats about using standard graphic optimization techniques in virtual reality environments.
DOI: 10.17632/9ygk4bgkfr.1
title: Nuclear mass parameters and moments of inertia in a folded-Yukawa mean-field approach

description: Collective moments of inertia as well as quadrupole and octupole mass parameters are calculated in the perturbative cranking approximation using the folded-Yukawa mean-field potential written in Cartesian coordinates. The resulting single-particle Hamiltonian is required, as a minimal symmetry, to be invariant under z-signature and time-reversal transformations. The deformation of the nucleus is defined through a shape parametrization in cylindrical coordinates, with the so-called Funny–Hills and Trentalange–Koonin–Sierk shapes as typical and performant examples. To take pairing correlations into account, the standard set of BCS equations is solved with an approximation of constant pairing strength. The numerical program determining the quadrupole–octupole mass tensor and the moments of inertia, written in Fortran, is constructed according to the here presented study as an extension and application of the “yukawa” code for the diagonalization of the folded-Yukawa mean-field potential in the basis of a harmonic-oscillator in Cartesian coordinates, published in this journal in 2016.
DOI: 10.17632/h8hch3hs9p.1
title: Flame simulations with an open-source code

description: Flame simulations are used to gain insight into combustion physics and to design combustion systems such as piston engines, gas–turbine engines, and process heaters. In these simulations, the balance between reaction and molecular mixing plays a key role. To model molecular mixing, using a full multicomponent approach leads to high accuracy at the expense of a hefty computational cost. Thus, the use of a mixture-averaged model is usually preferred. Hence, this paper presents and tests a new OpenFOAM®-based code that incorporates a detailed, mixture-averaged approach for calculating transport properties in reacting flows, and provides a capability to solve either fully-compressible or low-Mach-number governing equations. The code is made readily available on GitHub and is written completely in OpenFOAM®’s native code framework, making it highly portable and easy to maintain, enhance, and extend. It is tested by modeling two laminar flames, and two turbulent flames undergoing extinction and reignition. Overall, predictions with the present code are seen to be in good agreement with experimental and direct-numerical-simulation data.
DOI: 10.17632/4c5znk5m8t.1
title: A mathematical descriptor of tumor mesoscopic-structure from computed tomography images annotates prognostic and molecular phenotypes of epithelial ovarian cancer

description: The clinical, radiomics and proteomics data to reproduce the key findings in 'A mathematical descriptor of tumor mesoscopic-structure from computed tomography images annotates prognostic and molecular phenotypes of epithelial ovarian cancer'. Radiomics data for both the HH and the TCGA cohort are scaled and centered; RPV and eRPV (Affymentrix U133) are included in the clinical dataframes; Normalised, log2 transformed and median centered proteomics data are provided from reverse phase protein array (RPPA).
DOI: 10.17632/74pf4wwdd4.1
title: AKT inhibition assays raw data

description: Raw data for AKT inhibition experiments. Related to Figure 6 in Anderson et al., 2019.
DOI: 10.17632/hvwswmgg7p.1
title: Cell death assays raw data

description: Raw data for cell death assays. Includes dead and total cell counts for three treatments: Control; CHX; TRAIL+CHX. TRAIL+CHX data also includes time to 50% death. Related to Figure 4 in Anderson et al., 2019.
DOI: 10.17632/x8v9937psj.1
title: Densitometry data

description: Densitometry data (post-normalization in MATLAB). Related to Figure 5 in Anderson et al., 2019.
DOI: 10.5281/zenodo.2277382
title: Characterization of turning points in ecosystem functioning in global drylands

description: Data accompanying the paper:

Bernardino, P., De Keersmaecker, W., Horion, S., Fensholt, R., Verbesselt, J. and Somers, B. 2019. Global-scale characterization of turning points in dryland ecosystem functioning.
DOI: 10.17632/s8z7cwn4zs.1
title: Data for: Utility Token Offerings and Crypto Exchange Listings: how regulation can help?

description: Figures illustrate the results of the contextual study of crypto exchange listing standards.
DOI: 10.5517/ccdc.csd.cc20n652
title: CCDC 1866453: Experimental Crystal Structure Determination

description: Related Article: Izar Capel Berdiell, Alexander N. Kulak, Stuart L. Warriner, Malcolm A. Halcrow|2018|ACS Omega|3|18466|doi:10.1021/acsomega.8b02508
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.cc218n11
title: CCDC 1885142: Experimental Crystal Structure Determination

description: Related Article: Kennosuke Itoh|2018|CSD Communication|||
description: Related Article: Kennosuke Itoh, Fumiya Odate, Takuma Karikomi, Keishi Obe, Tsutomu Miyamori, Hideaki Kamiya, Kenji Yoza, Kenichiro Nagai, Hideaki Fujii, Hiroyuki Suga, Ken Tokunaga|2019|RSC Advances|9|12365|doi:10.1039/C9RA00822E
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: 10.7298/x0b7-px55
title: Data from: Fire-derived organic matter retains ammonia through covalent bond formation
DOI: 10.17632/vfj3r27gnf.1
title: Data from Cellular metabolism is a major determinant of HIV-1 reservoir seeding in CD4+ T cells and offers an opportunity to tackle infection
DOI: 10.15468/dl.zxva4e
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lasianthus membranaceoideus H.Zhu"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040289-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqj73e
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leichhardtia kuniensis (Meve, Gâteblé & Liede) Liede, Gâteblé & Meve"
 ]
}

 The dataset includes 13 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040290-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6pzccd
title: Occurrence Download

description: A dataset containing 178948 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aesculus hippocastanum L."
 ]
}

 The dataset includes 178948 records from 1318 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040266-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bz4sfk
title: Occurrence Download

description: A dataset containing 208 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jacobaea disjuncta (Flatscher, Schneew. & Schönsw.) Galasso & Bartolucci"
 ]
}

 The dataset includes 208 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040293-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.px3jw6
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lachenalia viridiflora W.F.Barker"
 ]
}

 The dataset includes 51 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040292-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qt4v3d
title: Occurrence Download

description: A dataset containing 1291 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Juniperus pseudosabina Fisch. & C.A.Mey."
 ]
}

 The dataset includes 1291 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040291-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89bp22
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lasianthus membranaceus Stapf"
 ]
}

 The dataset includes 26 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040294-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.93mrv4
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leichhardtia lyonsioides (Schltr.) Liede, Gâteblé & Meve"
 ]
}

 The dataset includes 63 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040295-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.madsp2
title: Occurrence Download

description: A dataset containing 415 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aesculus indica (Colebr. ex Cambess.) Hook."
 ]
}

 The dataset includes 415 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040296-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pu7y3m
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Potamolepidae"
 ]
}

 The dataset includes 143 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040299-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bswcg5
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lachenalia whitehillensis W.F.Barker"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040297-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hk2kpm
title: Occurrence Download

description: A dataset containing 7345 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jacobaea erratica (Bertol.) Fourr."
 ]
}

 The dataset includes 7345 records from 323 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040298-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7925/drs1.duchas_4623879
title: Pósaithe

description: Story collected by Eilís Ní Fhlionn, a student at Leacaigh (Leacach) school (Lackagh Beg, Co. Galway) from informant Martín Ó Duggán.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Seosamh Ó h Áinlíghe.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4447511
title: Food in Olden Days

description: Story collected by Frank Kirrane, a student at Cill Bheacán (B.) school (Bekan, Co. Mayo) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher P.S. Mac Donnchadha.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4623880
title: Holy Wells

description: Story collected by Eibhlín Ní Ghoillidhe, a student at Baile Ruadh (Cailíní) school (Ballyroe, Co. Galway) from informant Padraigh Ó Ghoillidhe.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Máire, Bean Uí Fhearghail.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4623881
title: Scéal Eile

description: Story collected by a student at Gort na Díogha school (Gortnadeeve West, Co. Galway) from informant Thomas Hegarty.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Séamus Ó -- Dhochartaigh, Bean Uí Dochartaigh.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4447513
title: Local Monuments

description: Story collected by Austin Jordan, a student at Cill Bheacán (B.) school (Bekan, Co. Mayo) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher P.S. Mac Donnchadha.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4623882
title: Pósaithe

description: Story collected by Máire Ní Oisín, a student at Leacaigh (Leacach) school (Lackagh Beg, Co. Galway) from informant Máire Ní Oisín.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Seosamh Ó h Áinlíghe.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4623883
title: Leather

description: Story collected by a student at Gort na Díogha school (Gortnadeeve West, Co. Galway) from 2 informants.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Séamus Ó -- Dhochartaigh, Bean Uí Dochartaigh.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4623884
title: Biddy Pound on a Pig

description: Story collected by a student at Gort na Díogha school (Gortnadeeve West, Co. Galway) from informant Thomas Hegarty.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Séamus Ó -- Dhochartaigh, Bean Uí Dochartaigh.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4447515
title: Cistí

description: Story collected by Antoine Mac an Ultaigh, a student at Toomore school (Toomore, Co. Mayo) from informant Brighid Bean Uí h Éilighe.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Tomás Breathnach.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4447517
title: Local Place Names

description: Story collected by Frank Kirrane, a student at Cill Bheacán (B.) school (Bekan, Co. Mayo) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher P.S. Mac Donnchadha.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4623885
title: Our Holy Wells

description: Story collected by Máire Ní h Éadbháird, a student at Baile Ruadh (Cailíní) school (Ballyroe, Co. Galway) from informant Bean Mháire Uí Breathnach.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Máire, Bean Uí Fhearghail.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.