cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7199067
title: [IO Islamic 720] ترجمة الفرج بعد الشدّة

description: <strong>Tarjumat-alfaraj ba’d-alshiddah.</strong> <strong>This manuscript is now IO Islamic 738 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 720 here with notations and hyperlinks].</strong> 738 Another copy of the same translation. Beginning the same (but without the prefixed praise of God): قدر فرمان ملك معظّم خسرو اعظم الخ. The bâbs which can be traced here (but all without number and heading) are: VI, on fol. 53<sup>a</sup>; IX, on fol. 89<sup>a</sup>; X, on fol. 111<sup>a</sup>; XI, on fol. 53<sup>a</sup>; IX, on fol. 89<sup>a</sup>; X, on fol. 111<sup>a</sup>; XI, on fol. 119<sup>b</sup>; XII, on fol. 132<sup>a</sup>; XIII, on fol. 153<sup>a</sup>; XIV, on fol.223<sup>b</sup>; XV, on fol. 254<sup>a</sup>; XVI, on fol. 315<sup>b</sup>. Fol. 211<sup>b</sup> corresponds to fol. 242<sup>a</sup> in the preceding copy, and 330<sup>a</sup>, first line, to fol. 369<sup>a</sup>, l.5 there Fol. 84<sup>b</sup> is left blank. Dated the 17th of Ramaḍân, A.H. 1057 (A.D. 1647, Oct. 16). No. 720, ff. 420, ll. 17; Nasta’lîḳ; size, 8<sup>1/8</sup> in. by 4<sup>3/8</sup> in.
DOI: 10.5281/zenodo.7199066
title: [IO Islamic 720] ترجمة الفرج بعد الشدّة

description: <strong>Tarjumat-alfaraj ba’d-alshiddah.</strong> <strong>This manuscript is now IO Islamic 738 in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Hermann Ethé</strong><strong><em>, </em></strong><strong><em>Catalogue of Persian Manuscripts in the Library of the India Office,</em></strong> <strong>2 vols. (Oxford: India Office, 1903): volume 1,</strong> <strong>number 720 here with notations and hyperlinks].</strong> 738 Another copy of the same translation. Beginning the same (but without the prefixed praise of God): قدر فرمان ملك معظّم خسرو اعظم الخ. The bâbs which can be traced here (but all without number and heading) are: VI, on fol. 53<sup>a</sup>; IX, on fol. 89<sup>a</sup>; X, on fol. 111<sup>a</sup>; XI, on fol. 53<sup>a</sup>; IX, on fol. 89<sup>a</sup>; X, on fol. 111<sup>a</sup>; XI, on fol. 119<sup>b</sup>; XII, on fol. 132<sup>a</sup>; XIII, on fol. 153<sup>a</sup>; XIV, on fol.223<sup>b</sup>; XV, on fol. 254<sup>a</sup>; XVI, on fol. 315<sup>b</sup>. Fol. 211<sup>b</sup> corresponds to fol. 242<sup>a</sup> in the preceding copy, and 330<sup>a</sup>, first line, to fol. 369<sup>a</sup>, l.5 there Fol. 84<sup>b</sup> is left blank. Dated the 17th of Ramaḍân, A.H. 1057 (A.D. 1647, Oct. 16). No. 720, ff. 420, ll. 17; Nasta’lîḳ; size, 8<sup>1/8</sup> in. by 4<sup>3/8</sup> in.
DOI: 10.25500/edata.bham.00000879
title: Research data supporting the publication ‘Linkages of Land Evaporation and East Asian Summer Monsoon Rainfall Biases’
DOI: 10.5281/zenodo.6641320
title: Confs N_f=2+1 physical point fullQCD T=230 MeV, lattice = 48^3 x 12

description: README (Written by Claudio Bonanno: claudio.bonanno@fi.infn.it) Archive of 50 thermalized and well-decorrelated gauge configurations Discretization: Symanzik-improved gauge action & N_f = 2+1 flavors of rooted stout staggered fermions with physical quark masses<br> and physical pion mass Theory details: T=230 MeV, 48^3 x 12 lattice with a lattice spacing a = 0.07149 fm. Algorithm: standard RHMC in the presence of a topological bias potential. For the details about the topological bias potential see https://arxiv.org/abs/1807.07954 The topological bias potential can be removed afterwards through standard reweighting. Conf name: stored_conf.${conf_ID} where conf_ID is equal to the RHMC step the conf has been saved. Conf have been saved every 30 RHMC seps in binary files according to the ILDG format for standard C programs. For more details about the ILDG format see, e.g., https://www-zeuthen.desy.de/~pleiter/ildg/ildg-file-format-1.1.pdf
description: Confs generated with the OpenStaPLE code, written in C with OpenACC support (soon to be published open access on GitHub). For more info see related article https://arxiv.org/abs/1801.01473 (relative to the 2018 version of the code).
DOI: 10.5281/zenodo.7089005
title: Confs N_f=2+1 physical point fullQCD T=230 MeV, lattice = 48^3 x 12

description: README (Written by Claudio Bonanno: claudio.bonanno@fi.infn.it) Archives of thermalized and well-decorrelated gauge configurations Discretization: Symanzik-improved gauge action & N_f = 2+1 flavors of rooted stout staggered fermions with physical quark masses<br> and physical pion mass Theory details: T=230 MeV, 48^3 x 12 lattice with a lattice spacing a = 0.07149 fm. Algorithm: standard RHMC in the presence of a topological bias potential. For the details about the topological bias potential see https://arxiv.org/abs/1807.07954 The topological bias potential can be removed afterwards through standard reweighting. Conf name: stored_conf.${conf_ID} where conf_ID is equal to the RHMC step the conf has been saved. Conf have been saved every 30 RHMC seps in binary files according to the ILDG format for standard C programs. For more details about the ILDG format see, e.g., https://www-zeuthen.desy.de/~pleiter/ildg/ildg-file-format-1.1.pdf The auto-correlation time of Q^2 is about 5 confs, i.e., about 150 RHMC steps in our setup.
description: Confs generated with the OpenStaPLE code, written in C with OpenACC support (soon to be published open access on GitHub). For more info see related article https://arxiv.org/abs/1801.01473 (relative to the 2018 version of the code).
DOI: 10.5281/zenodo.7089068
title: Confs N_f=2+1 physical point fullQCD T=230 MeV, lattice = 48^3 x 12

description: README (Written by Claudio Bonanno: claudio.bonanno@fi.infn.it) Archives of thermalized and well-decorrelated gauge configurations Discretization: Symanzik-improved gauge action & N_f = 2+1 flavors of rooted stout staggered fermions with physical quark masses<br> and physical pion mass Theory details: T=230 MeV, 48^3 x 12 lattice with a lattice spacing a = 0.07149 fm. Algorithm: standard RHMC in the presence of a topological bias potential. For the details about the topological bias potential see https://arxiv.org/abs/1807.07954 The topological bias potential can be removed afterwards through standard reweighting. Conf name: stored_conf.${conf_ID} where conf_ID is equal to the RHMC step the conf has been saved. Conf have been saved every 30 RHMC seps in binary files according to the ILDG format for standard C programs. For more details about the ILDG format see, e.g., https://www-zeuthen.desy.de/~pleiter/ildg/ildg-file-format-1.1.pdf The auto-correlation time of Q^2 is about 5 confs, i.e., about 150 RHMC steps in our setup.
description: Confs generated with the OpenStaPLE code, written in C with OpenACC support (soon to be published open access on GitHub). For more info see related article https://arxiv.org/abs/1801.01473 (relative to the 2018 version of the code).
DOI: 10.5281/zenodo.7089093
title: Confs N_f=2+1 physical point fullQCD T=230 MeV, lattice = 48^3 x 12

description: README (Written by Claudio Bonanno: claudio.bonanno@fi.infn.it) Archives of thermalized and well-decorrelated gauge configurations Discretization: Symanzik-improved gauge action & N_f = 2+1 flavors of rooted stout staggered fermions with physical quark masses<br> and physical pion mass Theory details: T=230 MeV, 48^3 x 12 lattice with a lattice spacing a = 0.07149 fm. Algorithm: standard RHMC in the presence of a topological bias potential. For the details about the topological bias potential see https://arxiv.org/abs/1807.07954 The topological bias potential can be removed afterwards through standard reweighting. Conf name: stored_conf.${conf_ID} where conf_ID is equal to the RHMC step the conf has been saved. Conf have been saved every 30 RHMC seps in binary files according to the ILDG format for standard C programs. For more details about the ILDG format see, e.g., https://www-zeuthen.desy.de/~pleiter/ildg/ildg-file-format-1.1.pdf The auto-correlation time of Q^2 is about 5 confs, i.e., about 150 RHMC steps in our setup.
description: Confs generated with the OpenStaPLE code, written in C with OpenACC support (soon to be published open access on GitHub). For more info see related article https://arxiv.org/abs/1801.01473 (relative to the 2018 version of the code).
DOI: 10.5281/zenodo.7089138
title: Confs N_f=2+1 physical point fullQCD T=230 MeV, lattice = 48^3 x 12

description: README (Written by Claudio Bonanno: claudio.bonanno@fi.infn.it) Archives of thermalized and well-decorrelated gauge configurations Discretization: Symanzik-improved gauge action & N_f = 2+1 flavors of rooted stout staggered fermions with physical quark masses<br> and physical pion mass Theory details: T=230 MeV, 48^3 x 12 lattice with a lattice spacing a = 0.07149 fm. Algorithm: standard RHMC in the presence of a topological bias potential. For the details about the topological bias potential see https://arxiv.org/abs/1807.07954 The topological bias potential can be removed afterwards through standard reweighting. Conf name: stored_conf.${conf_ID} where conf_ID is equal to the RHMC step the conf has been saved. Conf have been saved every 30 RHMC seps in binary files according to the ILDG format for standard C programs. For more details about the ILDG format see, e.g., https://www-zeuthen.desy.de/~pleiter/ildg/ildg-file-format-1.1.pdf The auto-correlation time of Q^2 is about 5 confs, i.e., about 150 RHMC steps in our setup.
description: Confs generated with the OpenStaPLE code, written in C with OpenACC support (soon to be published open access on GitHub). For more info see related article https://arxiv.org/abs/1801.01473 (relative to the 2018 version of the code).
DOI: 10.5281/zenodo.7089177
title: Confs N_f=2+1 physical point fullQCD T=230 MeV, lattice = 48^3 x 12

description: README (Written by Claudio Bonanno: claudio.bonanno@fi.infn.it) Archives of thermalized and well-decorrelated gauge configurations Discretization: Symanzik-improved gauge action & N_f = 2+1 flavors of rooted stout staggered fermions with physical quark masses<br> and physical pion mass Theory details: T=230 MeV, 48^3 x 12 lattice with a lattice spacing a = 0.07149 fm. Algorithm: standard RHMC in the presence of a topological bias potential. For the details about the topological bias potential see https://arxiv.org/abs/1807.07954 The topological bias potential can be removed afterwards through standard reweighting. Conf name: stored_conf.${conf_ID} where conf_ID is equal to the RHMC step the conf has been saved. Conf have been saved every 30 RHMC seps in binary files according to the ILDG format for standard C programs. For more details about the ILDG format see, e.g., https://www-zeuthen.desy.de/~pleiter/ildg/ildg-file-format-1.1.pdf The auto-correlation time of Q^2 is about 5 confs, i.e., about 150 RHMC steps in our setup.
description: Confs generated with the OpenStaPLE code, written in C with OpenACC support (soon to be published open access on GitHub). For more info see related article https://arxiv.org/abs/1801.01473 (relative to the 2018 version of the code).
DOI: 10.5281/zenodo.7089204
title: Confs N_f=2+1 physical point fullQCD T=230 MeV, lattice = 48^3 x 12

description: README (Written by Claudio Bonanno: claudio.bonanno@fi.infn.it) Archives of thermalized and well-decorrelated gauge configurations Discretization: Symanzik-improved gauge action & N_f = 2+1 flavors of rooted stout staggered fermions with physical quark masses<br> and physical pion mass Theory details: T=230 MeV, 48^3 x 12 lattice with a lattice spacing a = 0.07149 fm. Algorithm: standard RHMC in the presence of a topological bias potential. For the details about the topological bias potential see https://arxiv.org/abs/1807.07954 The topological bias potential can be removed afterwards through standard reweighting. Conf name: stored_conf.${conf_ID} where conf_ID is equal to the RHMC step the conf has been saved. Conf have been saved every 30 RHMC seps in binary files according to the ILDG format for standard C programs. For more details about the ILDG format see, e.g., https://www-zeuthen.desy.de/~pleiter/ildg/ildg-file-format-1.1.pdf The auto-correlation time of Q^2 is about 5 confs, i.e., about 150 RHMC steps in our setup.
description: Confs generated with the OpenStaPLE code, written in C with OpenACC support (soon to be published open access on GitHub). For more info see related article https://arxiv.org/abs/1801.01473 (relative to the 2018 version of the code).
DOI: 10.5281/zenodo.7089223
title: Confs N_f=2+1 physical point fullQCD T=230 MeV, lattice = 48^3 x 12

description: README (Written by Claudio Bonanno: claudio.bonanno@fi.infn.it) Archives of thermalized and well-decorrelated gauge configurations Discretization: Symanzik-improved gauge action & N_f = 2+1 flavors of rooted stout staggered fermions with physical quark masses<br> and physical pion mass Theory details: T=230 MeV, 48^3 x 12 lattice with a lattice spacing a = 0.07149 fm. Algorithm: standard RHMC in the presence of a topological bias potential. For the details about the topological bias potential see https://arxiv.org/abs/1807.07954 The topological bias potential can be removed afterwards through standard reweighting. Conf name: stored_conf.${conf_ID} where conf_ID is equal to the RHMC step the conf has been saved. Conf have been saved every 30 RHMC seps in binary files according to the ILDG format for standard C programs. For more details about the ILDG format see, e.g., https://www-zeuthen.desy.de/~pleiter/ildg/ildg-file-format-1.1.pdf The auto-correlation time of Q^2 is about 5 confs, i.e., about 150 RHMC steps in our setup.
description: Confs generated with the OpenStaPLE code, written in C with OpenACC support (soon to be published open access on GitHub). For more info see related article https://arxiv.org/abs/1801.01473 (relative to the 2018 version of the code).
DOI: 10.5281/zenodo.7199105
title: tagetes_patula_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7199104
title: tagetes_patula_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7149526
title: The planted XY model: thermodynamics and inference

description: Data and codes for figures in manuscript "The planted XY model: thermodynamics and inference"
DOI: 10.5281/zenodo.7149525
title: The planted XY model: thermodynamics and inference

description: Data and codes for figures in manuscript "The planted XY model: thermodynamics and inference"
DOI: 10.6084/m9.figshare.21334803
title: COVID-19 may have increased global support for universal health coverage: Longitudinal survey data from 74 countries

description: <strong>COVID-19 may have increased global support for universal health coverage: Longitudinal survey data from 74 countries</strong>
DOI: 10.6084/m9.figshare.21334803.v1
title: COVID-19 may have increased global support for universal health coverage: Longitudinal survey data from 74 countries

description: <strong>COVID-19 may have increased global support for universal health coverage: Longitudinal survey data from 74 countries</strong>
DOI: 10.5255/ukda-sn-855394
title: Attaining Sustainable Services From Ecosystems Through Trade-Off Scenarios, Peru, 2015

description: Research for ASSETS was conducted in Peru, Colombia, and Malawi. This collection contains the data collected in Peru. The objectives were: • To obtain information on the nutritional condition of children under five years of age that permit estimating stunting rates in the region. • To obtain socio-demographic indicators for rural households inhabiting the Amazon Basin. • Generate information on material living conditions among poor rural settings in the Amazon Basin. • Obtain information that allows assessing food (in)security conditions among poor rural households in the Amazon Basin. • Provide data that helps generating rural income estimates among rural households of the Amazon Basin. • Provide information that helps generating expenditure estimates for rural households in the Amazon region. • Generate quantitative information stating nature’s contributions to rural residents’ basic needs and income generation activities. • Provide socioeconomic and environmental indicators comparable to government’s’ nationwide living standards measurement studies and parallel surveys taking place in Colombia and Malawi. The household survey was divided into different modules covering various topics, including: • Socio-demographic characteristics of household members • Education • Health and maternity • Time use and employment • Housing and material living conditions • Food consumption and food security • Subjective wellbeing • Anthropometric measures (children under 5) • Farm characteristics: agriculture and livestock • Extractive activities: fishing, hunting, and wood-extraction
DOI: 10.5255/ukda-sn-855395
title: Attaining Sustainable Services From Ecosystems Through Trade-Off Scenarios, Colombia, 2013-2014

description: Research for ASSETS was conducted in Peru, Colombia, and Malawi. This collection contains the data collected in Colombia. The objectives were: • To obtain information on the nutritional condition of children under five years of age that permit estimating stunting rates in the region. • To obtain socio-demographic indicators for rural households inhabiting the Amazon Basin. • Generate information on material living conditions among poor rural settings in the Amazon Basin. • Obtain information that allows assessing food (in)security conditions among poor rural households in the Amazon Basin. • Provide data that helps generating rural income estimates among rural households of the Amazon Basin. • Provide information that helps generating expenditure estimates for rural households in the Amazon region. • Generate quantitative information stating nature’s contributions to rural residents’ basic needs and income generation activities. • Provide socioeconomic and environmental indicators comparable to government’s’ nationwide living standards measurement studies and parallel surveys taking place in Colombia and Malawi. The household survey was divided into different modules covering various topics, including: • Socio-demographic characteristics of household members • Education • Health and maternity • Time use and employment • Housing and material living conditions • Food consumption and food security • Subjective wellbeing • Anthropometric measures (children under 5) • Farm characteristics: agriculture and livestock • Extractive activities: fishing, hunting, and wood-extraction
DOI: 10.5281/zenodo.7198802
title: m-kaiser/Mapping-Behselplan

description: This dataset contains georeferenced historical adresses (conscription numbers) for the city of Vienna for the period 1822 and later. It is build on plan material and address books published by the city building inspector and cartographer Anton Behsel. A concordance enables the mapping of earlier time periods (older: 1795-1821; oldest: 1770-1794).
DOI: 10.5281/zenodo.7198801
title: m-kaiser/Mapping-Behselplan

description: This dataset contains georeferenced historical adresses (conscription numbers) for the city of Vienna for the period 1822 and later. It is build on plan material and address books published by the city building inspector and cartographer Anton Behsel. A concordance enables the mapping of earlier time periods (older: 1795-1821; oldest: 1770-1794).
DOI: 10.17909/wvzj-wd79
title: non-thermal broadening
DOI: 10.34740/kaggle/dsv/4328376
title: Mahanagar Yatayat Dataset
DOI: 10.5281/zenodo.7199129
title: Influence of tie-molecules and miscrostructure on the fluid solubility in semicrystalline polymers. JPCB 2022

description: All computational data in the figures in Valsecchi et al. JPCB 2022
DOI: 10.5281/zenodo.7199128
title: Influence of tie-molecules and miscrostructure on the fluid solubility in semicrystalline polymers. JPCB 2022

description: All computational data in the figures in Valsecchi et al. JPCB 2022
DOI: 10.5281/zenodo.7198540
title: m-kaiser/Vienna-1700

description: Historical GIS Data for mapping the city of Vienna (around 1700)
DOI: 10.5281/zenodo.7198539
title: m-kaiser/Vienna-1700

description: Historical GIS Data for mapping the city of Vienna (around 1700)
DOI: 10.5281/zenodo.7199144
title: Porting DB12 to Python3: Comparison with LHCb Gauss tasks

description: DB12 has been originally conceived with Python2 to estimate the power of a given CPU to run HEP applications. However, since January 2020, Python2 is no longer maintained and we decided to port the code to Python3, which contains several optimizations. In October 2021, we effectively ported DB12 to Python3.9, but the optimizations brought by the language generated discrepancies in the norm score, which is a critical component to evaluate the power of CPUs. We applied factors to correct it. Now we want to make sure that this norm score still fit with the LHCb Gauss execution throughput. We build an analysis tool to evaluate this. This work is based on DB16 (DB12 / 0.65), an update of DB12 introduced in 2017 to better fit with the LHCb workload at this time. <strong>Run the analysis</strong> Execute the Jupyter Notebook: <pre><code class="language-bash">jupyter notebook DB16Analysis.ipynb</code></pre> <strong>Include new data using DIRAC</strong> Install a DIRAC client: <pre><code class="language-bash">lb-dirac lhcb-proxy-init</code></pre> Go to <em>resources</em> and execute the following program to get data about the jobs: <pre><code class="language-python">python getJobData.py</code></pre> Once the program is done, you should get a file named `summary.json`, which can be used by the Jupyter Notebook.
DOI: 10.5281/zenodo.7199143
title: Porting DB12 to Python3: Comparison with LHCb Gauss tasks

description: DB12 has been originally conceived with Python2 to estimate the power of a given CPU to run HEP applications. However, since January 2020, Python2 is no longer maintained and we decided to port the code to Python3, which contains several optimizations. In October 2021, we effectively ported DB12 to Python3.9, but the optimizations brought by the language generated discrepancies in the norm score, which is a critical component to evaluate the power of CPUs. We applied factors to correct it. Now we want to make sure that this norm score still fit with the LHCb Gauss execution throughput. We build an analysis tool to evaluate this. This work is based on DB16 (DB12 / 0.65), an update of DB12 introduced in 2017 to better fit with the LHCb workload at this time. <strong>Run the analysis</strong> Execute the Jupyter Notebook: <pre><code class="language-bash">jupyter notebook DB16Analysis.ipynb</code></pre> <strong>Include new data using DIRAC</strong> Install a DIRAC client: <pre><code class="language-bash">lb-dirac lhcb-proxy-init</code></pre> Go to <em>resources</em> and execute the following program to get data about the jobs: <pre><code class="language-python">python getJobData.py</code></pre> Once the program is done, you should get a file named `summary.json`, which can be used by the Jupyter Notebook.
DOI: 10.25390/caryinstitute.7221095.v3
title: Artificial Streams: a practical guide for innovation and discovery in stream ecology

description: Artificial Streams: a practical guide for innovation and discovery in stream ecology