cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/760c4467d507cc08c7245d39dfa6767b
title: Interagency Ecological Program and US Fish and Wildlife Service: San Francisco Estuary Enhanced Delta Smelt Monitoring Program data, 2016-2023

description: The Enhanced Delta Smelt Monitoring Program (EDSM) was initiated by the U.S. Fish and Wildlife Service in 2016. EDSM focuses on providing real-time data to help managers respond to population patterns of Delta Smelt within the upper San Francisco Estuary, primarily by providing estimates of Delta Smelt distribution and abundance. The dataset can also be useful in evaluating habitat use and behavior patterns of this species and other fish species of interest. Sampling is done year round via Kodiak trawls and larval (“20-mm”) gear to sample Delta Smelt across most life stages. Sites are chosen via stratified random sampling. Over the course of a week, field crews sample between 18 and 41 random sites. A minimum of two tows are conducted at each site. All fish collected are identified (in the field when possible, in the lab for early life stages), measured, enumerated, and recorded. In addition to fish information, environmental data are collected for each sampling event. For more information: https://www.fws.gov/lodi/juvenile_fish_monitoring_program/jfmp_index.htm
DOI: 10.6084/m9.figshare.21774899.v1
title: A global phylogeny of butterflies reveals their evolutionary history, ancestral host plants, and biogeographic origins

description: Supplementary Figures, tables, and data files.
DOI: 10.17632/m2h5wpzb4h.1
title: Data for Welfare impact of remittances in rural Vietnam: An analysis of income, poverty and food security using a mixed-methods approach

description: The files include the Stata do-file and the dataset used for the analysis.
DOI: 10.5281/zenodo.13991242
title: Data for "Earthquake nucleation and slip behavior altered by stochastic normal stress heterogeneity"
DOI: 10.5281/zenodo.3370144
title: Computation-Ready Experimental Metal-Organic Framework (CoRE MOF) 2019 Dataset

description: High-throughput computational screening of metal-organic frameworks rely on the availability of <strong><em>disorder-free </em></strong>atomic coordinate files which can be used as input to simulation software packages. CoRE MOF Datasets are derived from Cambridge Structural Database (CSD) and also from the World Wide Web. This research is supported by the U.S. Department of Energy, Office of Basic Energy Sciences, Division of Chemical Sciences, Geosciences and Biosciences under Award DE-FG02-17ER16362 (Predictive Hierarchical Modeling of Chemical Separations and Transformations in Functional Nanoporous Materials: Synergy of Electronic Structure Theory, Molecular Simulations, Machine Learning, and Experiment).
DOI: 10.5281/zenodo.7271594
title: Brachiopod 3D models

description: 3D models of the brachiopod Rafinesquina, at various gape angles. Original specimen reposited with the Cincinnati Museum Center (CMC). Specimen CMC IP98748.
DOI: 10.6084/m9.figshare.25928743
title: Expression matrix of each sample

description: <b>Single-nucleus transcriptome</b><b> </b><b>sequencing </b><b>of</b><b> </b><b>long-preserved</b><b> FFPE samples </b><b>from</b><b> colorectal cancer liver metastasis lesions with different prognoses</b>
DOI: 10.6084/m9.figshare.26394937
title: The genome annotation of <i>Ptychidio jordani</i>

description: The genome annotation of <i>Ptychidio jordani</i>
DOI: 10.14457/ku.the.2007.122
title: การพัฒนาฟิล์มบริโภคได้จากกล้วยน้ำว้า /
DOI: 10.15468/dl.2y8p7b
title: Occurrence Download

description: A dataset containing 8032 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Guatemala",
 "Country is Belize",
 "Country is Honduras",
 "Country is Costa Rica",
 "Country is Panama",
 "Country is Ecuador",
 "Country is Colombia",
 "Country is Peru",
 "Country is Brazil",
 "Country is Venezuela (Bolivarian Republic of)",
 "Country is Guyana",
 "Country is Suriname"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Glyphorynchus spirurus (Vieillot, 1819)",
 "Year 2020-2021"
 ]
}

 The dataset includes 8032 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0325703-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48wfz6
title: Occurrence Download

description: A dataset containing 6246 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Belize",
 "Country is Guatemala",
 "Country is El Salvador",
 "Country is Honduras",
 "Country is Nicaragua",
 "Country is Costa Rica"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Xiphorhynchus flavigaster Swainson, 1827",
 "Year 2020-2021"
 ]
}

 The dataset includes 6246 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0330048-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6jab7
title: Occurrence Download

description: A dataset containing 3962 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Panama",
 "Country is Costa Rica",
 "Country is Guatemala",
 "Country is El Salvador",
 "Country is Honduras",
 "Country is Nicaragua"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Sittasomus griseicapillus (Vieillot, 1818)",
 "Year 2020-2021"
 ]
}

 The dataset includes 3962 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0324157-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mnqv7d
title: Occurrence Download

description: A dataset containing 1936 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Belize",
 "Country is Guatemala",
 "Country is Honduras",
 "Country is Nicaragua",
 "Country is Costa Rica"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Dendrocincla anabatina P.L.Sclater, 1859",
 "Year 2020-2021"
 ]
}

 The dataset includes 1936 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0325372-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z776rj
title: Occurrence Download

description: A dataset containing 7891 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dendrocolaptes picumnus Lichtenstein, 1820"
 ]
}

 The dataset includes 7891 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0329182-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zgupx5
title: Occurrence Download

description: A dataset containing 1643 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Dendrocolaptes sanctithomae (Lafresnaye, 1852)",
 "Year 1980-2021"
 ]
}

 The dataset includes 1643 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0344902-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48329/vagx-9d96
title: CPRD Aurum HES APC January 2022

description: HES Admitted Patient Care (HES APC) data contains details of all admissions to, or attendances at English NHS healthcare providers. It includes private patients treated in NHS hospitals, patients resident outside of England and care delivered by treatment centres (including those in the independent sector) funded by the NHS. All NHS healthcare providers in England, including acute hospital trusts, primary care trusts and mental health trusts provide data. HES APC data includes the complete set of hospital episode information (admission and discharge dates, diagnoses (identifying primary diagnosis), specialists seen under and procedures undertaken) for each linked patient with a hospitalisation record. In addition, Augmented care data (intensive and/or high dependency levels of care) and Maternity data are available. Diagnostic data recorded in HES are coded using the International Classification of Diseases version 10 (ICD10) coding frame; procedure information is coded using the UK Office of Population, Census and Surveys classification (OPCS) 4.6. Requests for HES APC data access are subject to prior protocol approval. Further information is available at https://www.cprd.com/linked-data. Coverage from April 1997 to March 2021.
DOI: 10.5281/zenodo.12545674
title: A machine-learning classifier for the postmerger remnant of binary neutron stars

description: This repository contains the datasets and models employed for the work in arXiv:2408.10678.

 

Datasets

Pandas dataframes created from the numerical-relativity simulations in the CoRe and SACRA databases, together with simulations from Phys. Rev. D 106 (2022) 4, 044026 ans Phys. Rev. D 109 (2024) 12, 123011. For each system, we con-sider data from the simulation with the highest resolution and the largest extraction radius available. We do not include systems with eccentricity or misaligned spins,  and simulations performed with the general-relativistic large eddy simulations (GRLES) subgrid model for turbolent viscosity.

 

The dataframes include the following information (columns):



'Mtot': total mass

'Mratio': mass ratio as in the database/paper (not the one to use for the classifier)

'LambdaTilde': mass-weighted tidal deformability

'EOS': equation of state employed for the simulation

'ChiEff': effective inspiral spin

'RemnantKey':  None->the simulation collapsed in within simulation time, with collapse time stored in 'CollapseTime'; 'greater' -> the system does not collapse within simulation time, where the simulation time is stored in 'CollapseTime'; 'stable' -> based on the EOS and system total mass (< TOV mass), the remnant formed is a stable neutron star

'CollapseTime': collapse time as explained above

'Mratio_fixed': mass ratio to use for the classifier, defined as m1/m2 for all systems


 

'dataset_classA.json' -> complete dataset, used for classifier A

'dataset_classBandC.json' -> same dataset, but without points for which the system does not collapse within simulation time, and the simulation time is less than 25 ms  (used for classifiers B and C)

 

Models

We provide the three classifiers models, saved as *.pkl files, together with their respective scaler to scale the input data before passing them to the classifier  The models and scalers can be read/loaded with joblib as

model = joblib.load('classifierA_model.pkl')
scaler = joblib.load('scaler_classifierA.pkl')

We remind that:



Classifier A distinguishes between prompt collapse to a black hole and formation of a neutron star remnant

Classifier B discriminates between prompt collapse, formation of a hypermassive neutron star that collapses during the simulation, and formation of a neutron star remnant that does not collapse within the simulation time

Classifier C further discerns between short-lived and long-lived hypermassive neutron stars (see paper for details)


 

Example notebook

The notebook 'Classifier_GW170817_data.ipynb' provides an example of how to employ the classifiers on the GWTC-1 GW170817 data.

 

Cite

If you make use of this material, also cite the paper arXiv:2408.10678
DOI: 10.15468/dl.t6v4sd
title: Occurrence Download

description: A dataset containing 965 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Costa Rica",
 "Country is Guatemala",
 "Country is Honduras",
 "Country is Nicaragua",
 "Country is Panama"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Dendrocincla homochroa (P.L.Sclater, 1860)",
 "Year 2020-2021"
 ]
}

 The dataset includes 965 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0324604-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/svx74xcrjr.1
title: A public dataset of overground walking kinetics and full-body kinematics in healthy adult individuals

description: The dataset comprises raw kinetic and full-body kinematic data (both in .c3d and .tsv) of 57 healthy subjects (29 female, 28 male; M age: 23.1 years, SD 2.7; M body height: 1.74 m, SD 0.10; M body mass: 67.9 kg, SD 11.3; M body mass index: 22.2 kg/m², SD 2.0) during overground walking. All subjects were without gait pathology and free of lower extremity pain or injuries. The .c3d files are named in the following format: S{subject_id}_{trial number}_{static/gait}.c3d. Separate text files were generated for the kinematic marker trajetories {.tsv} and kinetic force signals of the first {_f_1.tsv} and second {_f_2.tsv} force plate. When using (any part) of this dataset, please cite this dataset and the original article: Horst, F., Lapuschkin, S., Samek, W., Müller, K.-R., & Schöllhorn, W. I. (2018). A public dataset of overground walking kinetics and full-body kinematics in healthy individuals. Mendeley Data, v1. http://dx.doi.org/10.17632/svx74xcrjr.1 Horst, F., Lapuschkin, S., Samek, W., Müller, K.-R., & Schöllhorn, W. I. (2018, under review). What is unique in individual gait patterns? Understanding and interpreting deep learning in gait analysis. Preprint at https://arxiv.org/abs/1808.04308 Please feel free to send us your technical questions, requests and bug reports by email: horst@uni-mainz.de
DOI: 10.17909/dbr7-3f98
title: Data used in HST Treasury Program Fulcrum (Paper 1 Rising Near-Ultraviolet Spectra in Stellar Megaflares)

description: About this data: Flares from M-dwarf stars can attain energies up to $10^4$ times larger than solar flares but are generally thought to result from similar processes of magnetic energy release and particle acceleration. Larger heating rates in the low atmosphere are needed to reproduce the shape and strength of the observed continua in stellar flares, which are often simplified to a blackbody model from the optical to the far-ultraviolet (FUV). The near-ultraviolet (NUV) has been woefully undersampled in spectral observations despite this being where the blackbody radiation should peak. We present \emph{Hubble Space Telescope} NUV spectra in the impulsive phase of a flare with $E_{\rm{TESS}} \approx 7.5 \times 10^{33}$ erg and a flare with $E_{\rm{TESS}} \approx 10^{35}$ erg and the largest NUV flare luminosity observed to date from an M star. The composite NUV spectra are not well represented by a single blackbody that is commonly assumed in the literature. Rather, continuum flux rises toward shorter wavelengths into the FUV, and we calculate that an optical $T=10^4$ K blackbody underestimates the short wavelength NUV flux by a factor of $\approx 6$. We show that rising NUV continuum spectra can be reproduced by collisionally heating the lower atmosphere with beams of $E \gtrsim 10$ MeV protons or $E \gtrsim 500$ keV electrons and flux densities of $10^{13}$ erg cm$^{-2}$ s$^{-1}$. These are much larger than canonical values describing accelerated particles in solar flares.
DOI: 10.25318/1110023201-eng
title:  Low income measure (LIM) thresholds by income source and household size

description: Low income measure (LIM) thresholds by household size for market income, total income and after-tax income, in current and constant dollars, annual.
DOI: 10.48350/197025
title: CODE final product series for the IGS

description: CODE, the Center for Orbit Determination in Europe, is a joint venture of the following four institutions:Astronomical Institute, University of Bern (AIUB), Bern, Switzerland; Federal Office of Topography swisstopo, Wabern, Switzerland; Federal Agency of Cartography and Geodesy (BKG), Frankfurt a. M., Germany; Institut für Astronomische und Physikalische Geodäsie, Technische Universität München (IAPG, TUM), Munich, Germany.
It acts as a global analysis center of the International GNSS Service (IGS). The operational computations are performed at AIUB using the latest development version of the Bernese GNSS Software. In this context a final solution series is generated considering all active GPS and GLONASS satellites. It is published in daily files with a delay of about two weeks.
DOI: 10.5281/zenodo.53938
title: Smass Dataset

description: These are haptic datasets used for evaluation of the algorithms
DOI: 10.15468/dl.8q3764
title: Occurrence Download

description: A dataset containing 826 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium bombycinum Rchb.fil."
 ]
}

 The dataset includes 826 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049816-241126133413365/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.28091024
title: Telegram Kremlin Narratives Dataset

description: The dataset includes Telegram channels with both pro-Kremlin and anti-Kremlin communications, collected over a timeframe covering one year prior to and one year following the Russian invasion. It consists of 404 pro-Kremlin channels featuring 4,109,645 posts and 114 anti-Kremlin channels containing 1,117,768 posts, all provided in JSON format.
DOI: 10.15468/dl.s4zb6n
title: Occurrence Download

description: A dataset containing 117545 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is TUR.7_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 117545 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049814-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cjq45s
title: Occurrence Download

description: A dataset containing 1938 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium cerinthoides L."
 ]
}

 The dataset includes 1938 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049817-241126133413365/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.28099458
title: <i>Moringa stenopetala</i> leaf extract improves the efficacy of doxorubicin in the breast cancer therapy by suppressing the expression of MDR-1, Raf-1, and Top-II

description: The aim of this work was to explore the bioactive properties of <i>Moringa stenopetala</i> leaves (Baker f.) Cufod. Methanol and ethanol extracts showed the highest antioxidant activity with the lowest IC<sub>50</sub> values. MS leaves were found to be a good supplement for K, Fe and Ca. The obtained results indicated that ethanolic leaf extract exhibits growth inhibition of MDA-MB-231 cell line, and induction of apoptosis as well as cell cycle arrest. Also, there was a significant effect on cytotoxicity against a breast cell line when the ethanolic extract was combined with doxorubicin. At the molecular level, changes in gene expression were detected <i>via</i> qPCR. Thirty-two compounds were identified in the ethanolic extract using HPLC ESI-MS/MS and classified into: hydroxycinnamic acid derivatives, flavonoids, fatty acids, and other miscellaneous compounds. Molecular docking predicted that the main component in the ethanolic extract (apigenin-7-O-rutinoside) has multiple inhibitory effects on MDR-1, Raf-1 and Top-II proteins.
DOI: 10.6084/m9.figshare.28099458.v1
title: <i>Moringa stenopetala</i> leaf extract improves the efficacy of doxorubicin in the breast cancer therapy by suppressing the expression of MDR-1, Raf-1, and Top-II

description: The aim of this work was to explore the bioactive properties of <i>Moringa stenopetala</i> leaves (Baker f.) Cufod. Methanol and ethanol extracts showed the highest antioxidant activity with the lowest IC<sub>50</sub> values. MS leaves were found to be a good supplement for K, Fe and Ca. The obtained results indicated that ethanolic leaf extract exhibits growth inhibition of MDA-MB-231 cell line, and induction of apoptosis as well as cell cycle arrest. Also, there was a significant effect on cytotoxicity against a breast cell line when the ethanolic extract was combined with doxorubicin. At the molecular level, changes in gene expression were detected <i>via</i> qPCR. Thirty-two compounds were identified in the ethanolic extract using HPLC ESI-MS/MS and classified into: hydroxycinnamic acid derivatives, flavonoids, fatty acids, and other miscellaneous compounds. Molecular docking predicted that the main component in the ethanolic extract (apigenin-7-O-rutinoside) has multiple inhibitory effects on MDR-1, Raf-1 and Top-II proteins.
DOI: 10.5281/zenodo.14561114
title: Zebrafish Pathway Metabolite MetFrag Local CSV

description: This is a local CSV file of Zebrafish metabolites for MetFrag (https://msbi.ipb-halle.de/MetFrag/) extracted from PubChem, based partially on previous data extracted from Wikipathways, KEGG and literature (DOI: 10.1371/journal.pone.0213661), combined in previous versions of this record (DOI: 10.5281/zenodo.3541624).

This file was created as documented on the ECI GitLab. 

This file is designed for identification using MetFrag CL workflows (offline), this file will be integrated into MetFrag online; please use the file in the dropdown menu rather than uploading this one.

 
description: File is created using automated extraction and mapping (see code), with no additional experimental verification
DOI: 10.5281/zenodo.3457553
title: Zebrafish Pathway Metabolite MetFrag Local CSV

description: This is a local CSV file of Zebrafish metabolites for MetFrag (https://msbi.ipb-halle.de/MetFrag/) extracted from PubChem, based partially on previous data extracted from Wikipathways, KEGG and literature (DOI: 10.1371/journal.pone.0213661), combined in previous versions of this record (DOI: 10.5281/zenodo.3541624).

This file was created as documented on the ECI GitLab. 

This file is designed for identification using MetFrag CL workflows (offline), this file will be integrated into MetFrag online; please use the file in the dropdown menu rather than uploading this one.

 
description: File is created using automated extraction and mapping (see code), with no additional experimental verification
DOI: 10.17632/rv4m76tpvk.1
title: The effects of GAI on learning outcomes

description: A meta-analysis
DOI: 10.17632/z6hv6fk4b9.1
title: Susceptibility to Digital arrest

description: It is 10 item scale measures vulnerability to digital arrest.