cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bbxzq6
title: Occurrence Download

description: A dataset listing the 9 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((87.33691 22.18698,99.65869 22.18698,99.65869 32.22695,87.33691 32.22695,87.33691 22.18698))",
 "TaxonKey is one of (Lantana camara L., Mikania micrantha Kunth, Parthenium hysterophorus L., Chromolaena odorata (L.) R.M.King & H.Rob.)"
 ]
}

 The dataset's 9 records were derived from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045408-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26425306.v1
title: Web Scraper & Privacy Policies Dataset

description: This web scraper allows the collection of privacy policies from the Apple and Google Play stores. Specifically, form the Apps, Games, and Kids categories.
DOI: 10.15468/dl.x92rzb
title: Occurrence Download

description: A dataset containing 1087 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ilex ficoidea Hemsl."
 ]
}

 The dataset includes 1087 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045418-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13164156
title: Binary black-hole simulation SXS:BBH:0860

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164157
title: Binary black-hole simulation SXS:BBH:0860

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164167
title: Binary black-hole simulation SXS:BBH:0850

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164168
title: Binary black-hole simulation SXS:BBH:0850

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164152
title: Kisumu aflatoxin study - student Lilly Smith
DOI: 10.5281/zenodo.13164153
title: Kisumu aflatoxin study - student Lilly Smith
DOI: 10.5281/zenodo.13164173
title: Binary black-hole simulation SXS:BBH:0710

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164174
title: Binary black-hole simulation SXS:BBH:0710

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13134383
title: Emergent coherent modes in nonlinear magnonic waveguides detected at ultrahigh frequency resolution

description: Raw data and Python code for the manuscript "Emergent coherent modes in nonlinear magnonic waveguides detected at ultrahigh frequency resolution".  All data files and source code are provided in a zip file. .ipynb file is a python jupyter notebook file which contains all the source codes to generate all the figures.

Abstract: Nonlinearity of dynamic systems plays a key role for neuromorphic computing which is expected to reduce the ever-increasing power consumption of machine learning and artifical intelligence applications. For spin waves (magnons), nonlinearity combined with phase coherence is the basis of phenomena like Bose-Einstein condensation, frequency combs, and pattern recognition in neuromorphic computing. Yet, the broadband electrical detection of these phenomena with high frequency resolution remains a challenge. Here, we demonstrate the generation and detection of phase-coherent nonlinear magnons in an all-electrical GHz probe station based on coplanar waveguides connected to a vector network analyzer which we operate in a frequency-offset mode. Making use of an unprecedented frequency resolution, we resolve the nonlocal emergence of a fine structure of propagating nonlinear magnons, which sensitively depends on both power and a magnetic field. These magnons are shown to maintain coherency with the microwave source while propagating over macroscopic distances. We propose a multi-band four magnon scattering scheme which is in agreement with the field-dependent characteristics of coherent nonlocal signals in the nonlinear excitation regime. Our findings are key to enable the seamless integration of nonlinear magnon processes into high-speed microwave electronics and to advance phase-encoded information processing in magnonic neuronal networks.
DOI: 10.5281/zenodo.13134384
title: Emergent coherent modes in nonlinear magnonic waveguides detected at ultrahigh frequency resolution

description: Raw data and Python code for the manuscript "Emergent coherent modes in nonlinear magnonic waveguides detected at ultrahigh frequency resolution".  All data files and source code are provided in a zip file. .ipynb file is a python jupyter notebook file which contains all the source codes to generate all the figures.

Abstract: Nonlinearity of dynamic systems plays a key role for neuromorphic computing which is expected to reduce the ever-increasing power consumption of machine learning and artifical intelligence applications. For spin waves (magnons), nonlinearity combined with phase coherence is the basis of phenomena like Bose-Einstein condensation, frequency combs, and pattern recognition in neuromorphic computing. Yet, the broadband electrical detection of these phenomena with high frequency resolution remains a challenge. Here, we demonstrate the generation and detection of phase-coherent nonlinear magnons in an all-electrical GHz probe station based on coplanar waveguides connected to a vector network analyzer which we operate in a frequency-offset mode. Making use of an unprecedented frequency resolution, we resolve the nonlocal emergence of a fine structure of propagating nonlinear magnons, which sensitively depends on both power and a magnetic field. These magnons are shown to maintain coherency with the microwave source while propagating over macroscopic distances. We propose a multi-band four magnon scattering scheme which is in agreement with the field-dependent characteristics of coherent nonlocal signals in the nonlinear excitation regime. Our findings are key to enable the seamless integration of nonlinear magnon processes into high-speed microwave electronics and to advance phase-encoded information processing in magnonic neuronal networks.
DOI: 10.6084/m9.figshare.26425306.v2
title: Web scraper, PPs dataset & CompAI output

description: The web scraper allows the collection of privacy policies from the Apple and Google Play stores. Specifically, form the Apps, Games, and Kids categories.Each privacy policy downloaded from one of the stores is part of the dataset, and the results when using CompAI are included in the output.
DOI: 10.5281/zenodo.13164179
title: Binary black-hole simulation SXS:BBH:0795

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164180
title: Binary black-hole simulation SXS:BBH:0795

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164181
title: Binary black-hole simulation SXS:BBH:0726

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164182
title: Binary black-hole simulation SXS:BBH:0726

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.6084/m9.figshare.26464246
title: Urban Weak Centralization

description: This data contains POI data for 2020, 2022, and 2023. Based on this data, the urban weak centralization development trend of Chongqing's main urban area is evaluated using urban perception methods, and machine learning is used to predict the weak centralization development trend of the city in the next three years.
DOI: 10.6084/m9.figshare.26464246.v1
title: Urban Weak Centralization

description: This data contains POI data for 2020, 2022, and 2023. Based on this data, the urban weak centralization development trend of Chongqing's main urban area is evaluated using urban perception methods, and machine learning is used to predict the weak centralization development trend of the city in the next three years.
DOI: 10.6084/m9.figshare.26465086
title: Dataset

description: Lunar
DOI: 10.5281/zenodo.13164187
title: Binary black-hole simulation SXS:BBH:0731

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164188
title: Binary black-hole simulation SXS:BBH:0731

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164191
title: Binary black-hole simulation SXS:BBH:0637

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164192
title: Binary black-hole simulation SXS:BBH:0637

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.e9v2em
title: Occurrence Download

description: A dataset containing 493 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "GadmGid is IND.30_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 493 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045421-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kcwvue
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "GadmGid is IND.30_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 72 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045423-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13164194
title: Binary black-hole simulation SXS:BBH:0705

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164193
title: Binary black-hole simulation SXS:BBH:0705

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.jj82h5
title: Occurrence Download

description: A dataset containing 649 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "Continent is Asia",
 "Country is India",
 "Geometry POLYGON((88.07938 27.99797,87.82072 27.40375,87.89762 26.87944,88.12132 26.62777,88.42892 26.6068,88.62466 26.50892,88.83439 26.51592,88.98819 26.83749,88.96022 27.06819,88.96721 27.31986,88.9742 27.53658,88.9812 27.99797,88.70156 28.24265,88.07938 27.99797))",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 649 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045425-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13164208
title: Binary black-hole simulation SXS:BBH:0736

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164209
title: Binary black-hole simulation SXS:BBH:0736

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.xmkwxb
title: Occurrence Download

description: A dataset containing 2980696620 species occurrences available in GBIF matching the query:
{
 "OccurrenceStatus" : [
 "is Present"
 ]
}

 The dataset includes 2980696620 records from 75248 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044235-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.47kfbg
title: Occurrence Download

description: A dataset containing 474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "StateProvince is Sikkim",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 474 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045426-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13164214
title: Binary black-hole simulation SXS:BBH:1095

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164215
title: Binary black-hole simulation SXS:BBH:1095

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164220
title: Binary black-hole simulation SXS:BBH:1019

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164221
title: Binary black-hole simulation SXS:BBH:1019

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.6084/m9.figshare.25855477
title: Neuronal and non-neuronal functions of the synaptic cell adhesion molecule, neurexin, in <i>Nematostella vectensis</i>

description: Partial raw dataset used in the study, "Neuronal and non-neuronal functions of the synaptic cell adhesion molecule, neurexin, in Nematostella vectensis".
DOI: 10.6084/m9.figshare.25855477.v1
title: Neuronal and non-neuronal functions of the synaptic cell adhesion molecule, neurexin, in <i>Nematostella vectensis</i>

description: Partial raw dataset used in the study, "Neuronal and non-neuronal functions of the synaptic cell adhesion molecule, neurexin, in Nematostella vectensis".
DOI: 10.5281/zenodo.13164266
title: Binary black-hole simulation SXS:BBH:1046

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164267
title: Binary black-hole simulation SXS:BBH:1046

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.42pwax
title: Occurrence Download

description: A dataset containing 591 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (IDN.27.5.14_1, IDN.27.5.5_1, IDN.27.5.3_1, IDN.27.5.2_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 591 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045427-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13164306
title: Binary black-hole simulation SXS:BBH:0981

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164307
title: Binary black-hole simulation SXS:BBH:0981

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.6084/m9.figshare.26410981
title: MD&A+ Audit Opinion dataset for Bankruptcy Prediction

description: The ECL dataset includes the MD&A section and a binary label indicating whether the company filed for bankruptcy in the year following the report’s filing date. In our work, we expanded the ECL dataset with the Audit Opinion (AO) text. Specifically, we utilized an NLP tool (EDGAR-CORPUS) to extract the AO text where possible (usually found in item 8 of the financial report) and align it with the existing filings in the ECL. Our ECL + AO dataset consists of 50345 training samples, with a positive ratio of 0.84%, and 18275 test samples with a positive ratio of 0.67%.<br>The companies in our dataset span the period from 1995 to 2015 for the training set and from 2016 to 2021 for the test set.<br><br>
DOI: 10.4121/3f5d76d4-c361-4158-84f9-fef02b2db898
title: MATLAB scripts, files, and datasets supplementary to the paper "Riverbank plastic distributions and how to sample them"

description: This dataset is the supplementary material of Tasseron et al., (2024): "Riverbank Plastic Distributions and how to sample them" [Submitted to a scientific journal for review]. The dataset contains three main folders. The first folder 'MATLAB data' contains all data files [.mat], [.xlsx], and[.csv] required for the analyses performed on the eight riverbanks central in the paper. The second folder 'MATLAB scripts' contains the master script of all analyses [Matlab_master_script.m], the file to calculate Moran's I [MoransI_calculation.m], and a folder with all associated files to plot violin plots in Matlab [Violinplot-Matlab-master]. The third folder 'River-OSPAR datasheets' contains the datasheet used for measurements in the field [Field_sheet_OSPAR_measurement.pdf] and an overview of the riverbank layout [Riverbank_layout.pdf].
DOI: 10.4121/3f5d76d4-c361-4158-84f9-fef02b2db898.v1
title: MATLAB scripts, files, and datasets supplementary to the paper "Riverbank plastic distributions and how to sample them"

description: This dataset is the supplementary material of Tasseron et al., (2024): "Riverbank Plastic Distributions and how to sample them" [Submitted to a scientific journal for review]. The dataset contains three main folders. The first folder 'MATLAB data' contains all data files [.mat], [.xlsx], and[.csv] required for the analyses performed on the eight riverbanks central in the paper. The second folder 'MATLAB scripts' contains the master script of all analyses [Matlab_master_script.m], the file to calculate Moran's I [MoransI_calculation.m], and a folder with all associated files to plot violin plots in Matlab [Violinplot-Matlab-master]. The third folder 'River-OSPAR datasheets' contains the datasheet used for measurements in the field [Field_sheet_OSPAR_measurement.pdf] and an overview of the riverbank layout [Riverbank_layout.pdf].
DOI: 10.5281/zenodo.13164314
title: Binary black-hole simulation SXS:BBH:0905

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164315
title: Binary black-hole simulation SXS:BBH:0905

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.7488/ds/7782
title: Harmonisation of Enlarged Perivascular Spaces Quantified from Brain Magnetic Resonance Images acquired at 1.5T vs. 3T – Data from a pilot study
title: Enlarged Perivascular Spaces Quantified from Brain Magnetic Resonance Images acquired at 1.5T vs. 3T

description: Magnetic resonance imaging (MRI)-visible perivascular spaces (PVS) have been found to be associated with disease phenotypes, indicators of sleep quality, and overall health. However, their role is still difficult to ascertain mainly given limitations of sample size and heterogeneity in their acquisition and analysis. We use brain MRI from 100 adult volunteers, acquired at two different magnetic field strengths with different sequence parameters. We visually scored the PVS burden and, independently, automatically segmented the PVS in each scan blind to any patient and imaging acquisition information. We analysed the quantitative a) raw results, b) results after adjusting for the volume of the region of interest, and c) results after applying ComBat harmonisation. This dataset contains the imaging protocols, the raw PVS measurements/visual scores, the measurements after being adjusted by each method, and the Matlab scripts to harmonise the data and statistically analyse the results.
description: The contents of this dataset and the methods used to obtain the derived data are described in the file: 1_5Tvs3T_Readme.pdf, which is part of this submission.
DOI: 10.15468/dl.tz226n
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Auritibicen japonicus (Kato, 1925)"
 ]
}

 The dataset includes 83 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045428-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hyvq9h
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corydalis pseudoadunca Popov"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045429-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13164346
title: Binary black-hole simulation SXS:BBH:0919

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164347
title: Binary black-hole simulation SXS:BBH:0919

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164349
title: Binary black-hole simulation SXS:BBH:0911

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164350
title: Binary black-hole simulation SXS:BBH:0911

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.6us386
title: Occurrence Download

description: A dataset containing 311 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.29_1",
 "TaxonKey is Crossoptilon harmani Elwes, 1881"
 ]
}

 The dataset includes 311 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045431-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13164357
title: Binary black-hole simulation SXS:BBH:0819

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13164358
title: Binary black-hole simulation SXS:BBH:0819

description: Simulation of a black-hole binary system evolved by the SpEC code.