cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tten00
title: Occurrence Download

description: A dataset containing 17846 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 {
 "or" : [
 "TaxonKey is Alopochen aegyptiaca (Linnaeus, 1766)",
 "TaxonKey is Acer negundo L."
 ]
 }
 ]
}

 The dataset includes 17846 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004852-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vccv59
title: Occurrence Download

description: A dataset containing 3034 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Caracterización biótica para la conservación de especies amenazadas en el área de influencia del Oleoducto Bicentenario, departamentos de Arauca y Casanare, Colombia"
 ]
}

 The dataset includes 3034 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043303-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhvpkw
title: Occurrence Download

description: A dataset containing 212 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abies spectabilis (D.Don) Mirb."
 ]
}

 The dataset includes 212 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004852-171002173027117/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qq4adz
title: Occurrence Download

description: A dataset containing 835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus dubius Rottb.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 835 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037413-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rqzwrv
title: Occurrence Download

description: A dataset containing 4129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "TaxonKey is Streptoprocne zonaris (Shaw, 1796)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4129 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004852-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mmbh3
title: Occurrence Download

description: A dataset containing 452610 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygonum aviculare L."
 ]
}

 The dataset includes 452610 records from 2319 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032487-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7e4ztz
title: Occurrence Download

description: A dataset containing 2927 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hippuris tetraphylla L.fil."
 ]
}

 The dataset includes 2927 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016270-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxbmrf
title: Occurrence Download

description: A dataset containing 987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Croatia",
 "TaxonKey is Circus cyaneus (Linnaeus, 1766)"
 ]
}

 The dataset includes 987 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016269-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17034/56bb2190-fb92-4543-a171-36efa5872571
title: Dataset for "Positron annihilation and binding in aromatic and other ring molecules"

description: This dataset contains EXCITON+ input files for the publication ["Positron annihilation and binding in aromatic and other ring molecules", E. Arthur-Baidoo, J. R. Danielson, C. M. Surko, J. P. Cassidy, S. K. Gregg, J. Hofierka, B. Cunningham, C. H. Patterson, D. G. Green, Phys. Rev. A (2024)].
DOI: 10.18161/j395-1j66
title: BioDiv-S LPJG arctic plant functional types 1985-2100
DOI: 10.22002/n1mdr-zd551
title: Data used in "First direct comparison of density-driven mixing in a three-dimensional porous media using experiments and simulation"

description: This dataset contains the necessary data used to generate the figures in the paper "First direct comparison of density-driven mixing in a three-dimensional porous media using experiments and simulation". The original simulation and CT-scan data related to this publication is large in size, but can be available upon request to the corresponding authors of the paper.
DOI: 10.25747/pc1e-nk92
title: Dataset of tomato inside greenhouses for object detection in Pascal VOC
DOI: 10.48436/k71gw-wm529
title: Data and scripts for "General Shiba mapping for on-site four-point correlation functions"

description: This data repository contains the original figures, numerical (raw) data, scripts that where used to calculate this data, and plot scripts to reproduce the figures from the publication "General Shiba mapping for on-site four-point correlation functions" at Physical Review Research. The preprint is available on arXiv where also the LaTeX source files can be found. Additional information can be found in the README.

 

License

The CC-BY license applies to all the data and pdf files. All distributed code is under the MIT license.
DOI: 10.5281/zenodo.10429352
title: Bridging Rokhsar-Kivelson Type and Generic Quantum Phase Transitions via Thermofield Double States

description: The data and code for plotting Figure 4.
DOI: 10.5281/zenodo.10932404
title: On the spectrum of mesons in quenched Sp(2N) gauge theories---Data release

description: This release contains all data and metadata used to prepare the publication On the spectrum of mesons in quenched Sp(2N) gauge theories.

Included are:



The file README.md, containing descriptions of the data formats used for other data in this submission.

The raw log output for:



The gauge field generation

The correlation function computation

The Wilson flow computation




in the file raw_data.zip.These include all numbers used in the publication (aside from fit parameters) in plaintext form. The archive contains a separate README.md  documenting the layout of these data.



All metadata used for the fitting and subsequent analysis of these data, in the file metadata.zip, in files described in more detail in the README.

All data presented in plots and tables in the paper, in CSV format, in files described in more detail in the README.

All input files given during the gauge field generation,  in input_files.zip. These are compatible withthe Sp(2N) extension of HiRep.
description: The work of E. B. has been funded by the Supercomputing Wales project, which is part-funded by the European Regional Development Fund (ERDF) via Welsh Government and by the UKRI Science and Technologies Facilities Council (STFC) Research Software Engineering Fellowship EP/V052489/1.

J. H. is partially supported by the Center for Frontier Nuclear Science at Stony Brook University.

The work of D. K. H. was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A1B06033701) and also by the Korea government (MSIT) (2021R1A4A5031460).







The work of J.-W. L. was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government(MSIT) (NRF-2018R1C1B3001379) and by IBS under the project code, IBS-R018-D1.

The work of C.-J. D. L. and of H. H. is supported by the Taiwanese NTSC Grant No. 112-2112-M-A49-021-MY3.

The work of B. L. and M. P. has been supported in part by the STFC Consolidated Grants No. ST/P00055X/1, ST/T000813/1, and ST/X000648/1. B. L. and M. P. received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program under Grant Agreement No. 813942. The work of B. L. is further supported in part by the Royal Society Wolfson Research Merit Award No. WM170010 and by the Leverhulme Trust Research Fellowship No. RF-2020-4619.

The work of D. V. is supported by STFC under the consolidated grant N. ST/X000680/1.

Numerical simulations have been performed on the Swansea SUNBIRD cluster (part of the Supercomputing Wales project) and AccelerateAI A100 GPU system. The Swansea SUNBIRD system and AccelerateAI are part funded by the European Regional Development Fund (ERDF) via Welsh Government.
DOI: 10.5281/zenodo.12205982
title: Data and fitting script for "Direct measurement of a sin(2φ) current phase relation in a graphene superconducting quantum interference device"

description: This repository contains data and Python analysis scripts used for the publication "Direct measurement of a sin(2\phi) current phase relation in a graphene superconducting quantum interference device (https://doi.org/10.48550/arXiv.2405.13642).

The repository is organized as follows: the raw data are encapsulated in a QCoDes database (https://microsoft.github.io/Qcodes/) named 'D-SQUID-06.db'. Post-treated critical current data are included as .csv files and are indexed by measurement ids.

The principal analysis is realized in the Jupyter notebook 'Fits_and_Figures.ipynb', which includes all article figures as well as fit functions for fitting both critical currents Ic- and Ic+ simulatenously, first using analytical expression from equation 3 then using numerical expression from equation 5. All fits mentionned in the article are performed there. The repository includes a generic notebook "Extract_Critical_Current.ipynb" used to explore the raw data in the Qcodes database and features an enhanced peak detection script that we used to automatically extract critical current data despite having some artifacts on raw differential conductance versus bias current and magnetic field.

We acknowledge the contribution of R. Kerjouan for developing the Python fitting script.
DOI: 10.5281/zenodo.13306179
title: Dataset for Soft X-Ray Phase Nanomicroscopy of Micrometer-Thick Magnets

description: The data associated with publication "Soft X-Ray Phase Nanomicroscopy of Micrometer-Thick Magnets"

Neethirajan et al., Phys. Rev. X 14, 031028 – Published 15 August 2024
DOI: 10.5281/zenodo.8199327
title: Supplementary material to 'Exotic Symmetry Breaking Properties of Self-Dual Fracton Spin Models'

description: I. GENERAL INFORMATION 1. Title<br> Dataset of "Degeneracy and Scaling Properties of Self-Dual Fracton Spin Models" 2. Author Information<br> <br> Giovanni Canossa [1,2], Lode Pollet [1,2,3], Miguel A. Martin-Delgado [4], Hao Song [5], and Ke Liu [1,2]<br> 1. Arnold Sommerfeld Center for Theoretical Physics, University of Munich<br> 2. Munich Center for Quantum Science and Technology (MCQST)<br> 3. Wilczek Quantum Center, School of Physics and Astronomy, Shanghai Jiao Tong University<br> 4. Departamento de Física Teórica, Universidad Complutense, 28040 Madrid, Spain<br> 5. CAS Key Laboratory of Theoretical Physics, Institute of Theoretical Physics, Chinese Academy of Sciences, China Links to publications that cite or use the data:<br> TBA II. Files 1. Convention Datas from the multicanonical MC simulations are stored in "Tetra-Ising" and "Fractal-Ising" folders. Lattice size: Each subfolder is named "L=value" where value denotes the linear system size. Multicanonical weights: Files "g_init_T=value.data" contains the set of log(weights) at a given temperature and lattice size, derived from the iterative weight-learning procedure. Datas: HDF5 files "name.out.h5" contain the results of the multicanonical MC simulation at a given lattice size. <br> III. Data in HDF5 file 1. Convention The results obtained at each temperature point is stored in a separate subdirectory of the .out.h5 file. Each of these subdirectories contains: Energy_Hist: normalized energy histograms obtained from the multicanonical MC simulation (unweighted) Energy_Hist_rw: normalized reweighted energy histograms. For each bin, Energy_Hist_rw[i] = Energy_Hist[i] * e**g[i] / norm, where norm = sum( Energy_Hist[i] * e**g[i] ). c: 1/norm. Gives an estimate of the ratio Z_muca/Z_ca. g: vector containing the weights used for the multicanonical MC simulation at that specific temperature. These are derived from reweighting the weights in "g_init_T=value.data" file. Energy, Energy_Susc, Energy_Kurt Q_x, Q_x_Susc, Q_x_Kurt: canonical expectation value of each relevant observables, along with their susceptibilities and Kurtosis, obtained by reweighting each measurement taken during the simulation by the appropriate weight. (NB: Energy and Q_x need to be multiplied by C in order to give the correct canonical expectation value.) <br> 2. Relevance These data reproduce Figs. 5 & 6 in the manuscript. <br> III. Finite size scaling 1. Convention All estimated transition temperatures with their respective uncertainties are stored in "fitting_Tetra" and "fitting_Fractal" folders in the fittemps.txt file. 2. Relevance These data reproduce Figs. 3 & 4 in the manuscript.<br>
DOI: 10.5281/zenodo.8343514
title: Dataset for "Separate measurement- and feedback-driven entanglement transitions in the stochastic control of chaos"

description: Raw datasets used in the paper "Separate measurement- and feedback-driven entanglement transitions in the stochastic control of chaos". Use with the GitHub repository to reproduce results and figures from the referenced paper (https://github.com/clema12/CliffordBernoulli)
DOI: 10.6084/m9.figshare.27222570
title: Supplementary Material for: The influence of birthweight, socioeconomic status, and adult health on brain volumes during aging

description: Introduction
Greater late-life brain volumes are associated with resilience against dementia. We examined relationships between birthweight, life-long socioeconomic status and health with late-life brain volumes. We hypothesised that early-life factors directly affect late-life brain volumes.
Methods
Adults aged 59-67y underwent MRI and brain volumes were measured. Birthweight and lifelong health, and socioeconomic status were quantified and the principle components of each extracted. Relationships were examined using regression and structural equation analysis. 
Results
Birthweight (β=0.095, p=0.017) and childhood socioeconomic status (β=0.091, p=0.033, n=280) were directly associated with brain volume. Childhood socioeconomic status was further associated with grey matter volume (β=0.04, p=0.047). Adult health was linked to increased brain volume (β=0.15, p=0.003). 
Conclusion
Birthweight and childhood socioeconomic status are associated with whole and regional brain volume through direct mechanisms. Optimal fetal development, reduced childhood poverty and good adult health could reduce brain atrophy and delay dementia onset in late-life.
DOI: 10.6084/m9.figshare.27677610
title: Supplementary Material for: Demographics and Immunotherapy Efficacy for Advanced Hepatocellular carcinoma: A Systematic Review and Meta-Analysis of Phase III Clinical Trials

description: Introduction: Immune checkpoint inhibitors (ICIs) are fundamental in treating advanced hepatocellular carcinoma (HCC). Considering previous reports implied varied responses among patient subgroups, such as patients with different hepatitis etiologies, we planned this meta-analysis to identify specific populations that might derive greater survival benefits from ICIs as a first-line treatment.

Methods: We conducted a comprehensive search in PubMed and the Cochrane Library for phase III clinical trials comparing ICIs and multikinase inhibitors (MKIs) as first-line therapies for advanced HCC. We extracted and synthesized hazard ratios (HRs) for overall survival (OS) across different patient subgroups mainly using the random effect model.

Results: Our analysis included nine phase III trials involving ICIs, either alone or in combination with other treatments, compared with MKIs. The synthesized HRs for patients with hepatitis B virus, hepatitis C virus, and nonviral etiologies were 0.74, 0.77, and 0.86, respectively, showing no significant differences (p = 0.13). Such finding remained when we only analyzed clinical trials with positive results. HRs consistently favored ICIs across various demographics such as age, sex, geographic region, performance status, alpha-fetoprotein levels, and disease stage or extent. Notably, patients with extrahepatic spread showed a trend towards better outcomes (HR 0.73) compared to those without (HR 0.85, p = 0.07).

Conclusion: The efficacy of ICIs as a first-line treatment for advanced HCC was consistent across diverse patient subgroups, regardless of hepatitis etiology or other demographic factors. These findings do not support using these characteristics to determine the use of ICI therapy in advanced HCC.
DOI: 10.15125/bath-01357
title: Dataset for "Identification of Soft Modes Across the Commensurate-to-Incommensurate Charge Density Wave Transition in 1T-TaSe2"

description: The dataset contains the inputs necessary to reproduce the theoretical calculations presented in the associated paper, the abstract of which is as follows:

1T-TaSe2 is a prototypical charge density wave (CDW) material for which electron-phonon coupling and associated lattice reconstruction play an important role in driving and stabilising the CDW phase. Here, we investigate the lattice dynamics of bulk 1T-TaSe2 using angle-resolved ultralow wavenumber Raman spectroscopy down to 10 cm−1. Our high-resolution Raman spectra allow us to identify at least 27 peaks in the commensurate (CCDW) phase in the region 50 - 300 cm−1. Contrary to other layered materials, we do not find evidence of interlayer breathing or shear modes, suggestive of AA stacking in the bulk. Polarisation dependence of the mode intensities allows the assignment of their symmetry, which is supported by calculations of the phonon frequencies for the bulk structure using density functional theory. A detailed temperature dependence in the range T = 80 - 500 K allows us to clearly identify the soft modes associated with the CDW superlattice. Above the commensurate (CCDW) to incommensurate (ICCDW) phase transition at 473 K, we observe a dramatic loss of resolution of all modes, and significant linewidth broadening associated with a reduced phonon lifetime as the charge-order becomes incommensurate with the lattice.
description: The input files are intended for use with VASP density functional theory code (https://www.vasp.at/wiki/index.php/The_VASP_Manual) with pseudopotentials included within VASP. 

References for VASP are as follow: [1] G. Kresse and J. Hafner, Phys. Rev. B 47 , 558 (1993); ibid. 49 , 14 251 (1994). [2] G. Kresse and J. Furthmüller, Comput. Mat. Sci. 6 , 15 (1996). [3] G. Kresse and J. Furthmüller, Phys. Rev. B 54 , 11 169 (1996). [4] G. Kresse and J. Hafner, J. Phys.: Condens. Matt. 6, 8245 (1994). [5] G. Kresse and D. Joubert, Phys. Rev. 59 , 1758 (1999). 

The Phonopy code was used to generate atomic displacements corresponding to the phonon eigenmodes. Phonopy is available here: https://phonopy.github.io/phonopy/qe.html and references to it are: Atsushi Togo, Laurent Chaput, Terumasa Tadano, and Isao Tanaka, J. Phys. Condens. Matter 35, 353001-1-22 (2023) “First-principles Phonon Calculations with Phonopy and Phono3py”, Atsushi Togo, J. Phys. Soc. Jpn., 92, 012001-1-21 (2023)
description: The VASP subfolder contains the inputs needed to generate the electronic band structure of TaSe2 and the phonons at the Gamma point. The Phonopy code was used in interactive mode to generate force constants and phonon eignemodes.
DOI: 10.15128/r21z40ks89k
title: Spin density waves and ground state helices in EuGa2.4Al1.6 [dataset]

description: The Eu(Ga1−xAlx )4 series is composed of centrosymmetric structures which exhibit a wide range of rich topological phenomena, including some members hosting magnetic skyrmions. In this letter, we investigate the previously unreported intermediate compound EuGa2.4Al1.6, which hosts two distinct phase transitions under zero applied magnetic field. We have used resonant elastic x-ray scattering with full linear polarization analysis to unambiguously determine the zero-field magnetic structures, which consist of a transition between a basal plane transverse spin density wave at higher temperatures into a noncollinear helical ground state. Furthermore, we demonstrate a phase coexistence regime below the transition and reveal an elliptically modulated helical magnetic structure emerging from wavevector splitting.
DOI: 10.15151/esrf-dc-1565254573
title: High-pressure structural study of RuBr3

description: Pressure-dependent crystal structures of the RuBr3 polymorphs are studied by x-ray diffraction up to 19 GPa for alpha-RuBr3 and up to 12 GPa for beta-RuBr3 using polycrystalline samples.
DOI: 10.1594/pangaea.777975
title: Limits of oceans and seas in digitized, machine readable form

description: This dataset is the digitized version of the printed "Limits of Oceans and Seas" (IHO, 1953). The report describes the boundaries of 148 oceans and seas. The given positions were typed into a spreadsheet and were completed to a right ordered polygon by hand using Google Earth. The dataset consists of five columns. The first column contains the name of the ocean or sea, column 2 and 3 contain the position of each polygon point (latitude, longitude). Column 4 contains an area index, column 5 a polygon index. These two indices structurize the dataset.The other version link provides a Google Earth layer in KML format (zipped). This layer consists of all polygons and names of oceans or seas at area centroid position given in dataset doi:10.1594/PANGAEA.777976.