cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive120588.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57745/bdn24i
title: slice00968.tif

description: :unav
DOI: 10.57745/dibbsg
title: slice01105.tif

description: :unav
DOI: 10.57745/hu6nv8
title: slice00449.tif

description: :unav
DOI: 10.57745/jwnh2t
title: slice00571.tif

description: :unav
DOI: 10.13145/bacdive120589.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57745/dn41db
title: slice00992.tif

description: :unav
DOI: 10.57745/hypam2
title: slice01291.tif

description: :unav
DOI: 10.57745/lrjorf
title: slice01234.tif

description: :unav
DOI: 10.13145/bacdive120590.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57745/fmkgbu
title: slice01020.tif

description: :unav
DOI: 10.57745/liyotz
title: slice00210.tif

description: :unav
DOI: 10.57745/oryxi3
title: slice01252.tif

description: :unav
DOI: 10.13145/bacdive120591.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57745/mrgywy
title: slice01322.tif

description: :unav
DOI: 10.57745/nooljc
title: slice00315.tif

description: :unav
DOI: 10.57745/ulma0k
title: slice01080.tif

description: :unav
DOI: 10.57745/6k9at6
title: slice00475.tif

description: :unav
DOI: 10.57745/gdecd1
title: slice01179.tif

description: :unav
DOI: 10.57745/okmbwt
title: slice01471.tif

description: :unav
DOI: 10.13145/bacdive120592.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57745/2zh9qt
title: slice01524.tif

description: :unav
DOI: 10.57745/dmqe10
title: slice01988.tif

description: :unav
DOI: 10.57745/h8w39f
title: slice00689.tif

description: :unav
DOI: 10.13145/bacdive120593.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57745/a9fhoi
title: slice01376.tif

description: :unav
DOI: 10.57745/f3ulm7
title: slice00939.tif

description: :unav
DOI: 10.57745/igr6id
title: slice01520.tif

description: :unav
DOI: 10.57745/ue3ysa
title: slice00933.tif

description: :unav
DOI: 10.13145/bacdive120594.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57745/gtomqc
title: slice01331.tif

description: :unav
DOI: 10.57745/q23bb9
title: slice01194.tif

description: :unav
DOI: 10.57745/tjjp5c
title: slice00696.tif

description: :unav
DOI: 10.13145/bacdive120595.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57745/7uwhiw
title: slice01471.tif

description: :unav
DOI: 10.57745/jmtnds
title: slice00487.tif

description: :unav
DOI: 10.57745/rpacv7
title: slice01370.tif

description: :unav
DOI: 10.13145/bacdive120596.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57745/etrv8g
title: slice00917.tif

description: :unav
DOI: 10.57745/p78oza
title: slice01203.tif

description: :unav
DOI: 10.57745/wndkch
title: slice00907.tif

description: :unav
DOI: 10.13145/bacdive120597.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57745/4qbkho
title: slice01412.tif

description: :unav
DOI: 10.57745/ahtxxm
title: slice00453.tif

description: :unav
DOI: 10.57745/lxmrpu
title: slice01809.tif

description: :unav
DOI: 10.13145/bacdive120598.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57745/7nxeze
title: slice01173.tif

description: :unav
DOI: 10.57745/ejdttx
title: slice00686.tif

description: :unav
DOI: 10.57745/l5jaxd
title: slice00397.tif

description: :unav
DOI: 10.57745/tmnt6e
title: slice01259.tif

description: :unav
DOI: 10.57745/x05m8j
title: slice01198.tif

description: :unav
DOI: 10.13145/bacdive120599.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57745/4vg5hl
title: slice01504.tif

description: :unav
DOI: 10.57745/oye9m8
title: slice01174.tif

description: :unav
DOI: 10.57745/iby23f
title: slice01314.tif

description: :unav
DOI: 10.57745/ih2uza
title: slice00052.tif

description: :unav
DOI: 10.57745/k6rwoi
title: slice01529.tif

description: :unav
DOI: 10.57745/lxsl8h
title: slice00747.tif

description: :unav
DOI: 10.57745/qkcygc
title: slice01472.tif

description: :unav
DOI: 10.13145/bacdive120600.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57745/6xzifp
title: slice01435.tif

description: :unav
DOI: 10.57745/z1iiqd
title: slice01791.tif

description: :unav
DOI: 10.57745/zxgmrz
title: slice00073.tif

description: :unav
DOI: 10.13145/bacdive120601.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.jrmkt5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Afrixalus fornasini (Bianconi, 1849)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030313-250525065834625/datasets/export for details.
DOI: 10.15468/dl.xkv2wk
title: Occurrence Download

description: A dataset containing 356315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EBCC Atlas of European Breeding Birds",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 356315 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017097-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kf5dh2
title: Occurrence Download

description: A dataset containing 18161 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Delphinium ajacis L."
 ]
}

 The dataset includes 18161 records from 738 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017181-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ft63e
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Boana stellae (Kwet, 2008)"
 ]
}

 The dataset includes 58 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017183-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13939015
title: Multilevel irreversibility reveals higher-order organisation of non-equilibrium interactions in human brain dynamics

description: This dataset is used in the paper:

R.Nartallo-Kaluarachchi et al. Multilevel irreversibility reveals higher-order organisation of non-equilibrium interactions in human brain dynamics

The code for the analysis of the MEG data is made available at https://github.com/rnartallo/multilevelirreversibility

The in-house code used for MEG pre-processing is available at https://github.com/leonardob92/LBPD-1.0.

The data is provided after pre-processing (Maxfilter, ICA for removing eye blink and heart beat, co-registration with the individual MRI T1) and epoching.

This dataset contains data for 51 participants with 15 trials per participant.

The data is provided as the MEG_DataRNK2024.mat file which contains a nested MATLAB structure

MEG_Data:    1 x 51 Cell:        Cell: 6 x 1024 x 15 Double

This represent the activity from 6 brain regions at 1024 time-points for 15 trials.

Abstract

Information processing in the human brain can be modelled as a complex dynamical system operating out of equilibrium with multiple regions interacting nonlinearly. Yet, despite extensive study of the global level of non-equilibrium in the brain, quantifying the irreversibility of interactions among brain regions at multiple levels remains an unresolved challenge. Here, we present the Directed Multiplex Visibility Graph Irreversibility framework, a method for analysing neural recordings using network analysis of time-series. Our approach constructs directed multi-layer graphs from multivariate time-series where information about irreversibility can be decoded from the marginal degree distributions across the layers, which each represents a variable. This framework is able to quantify the irreversibility of every interaction in the complex system. Applying the method to magnetoencephalography recordings during a long-term memory recognition task, we quantify the multivariate irreversibility of interactions between brain regions and identify the combinations of regions which showed higher levels of non-equilibrium in their interactions. For individual regions, we find higher irreversibility in cognitive versus sensorial brain regions whilst for pairs, strong relationships are uncovered between cognitive and sensorial pairs in the same hemisphere. For triplets and quadruplets, the most non-equilibrium interactions are between cognitive-sensorial pairs alongside medial regions. Finally, for quintuplets, our analysis finds higher irreversibility when the prefrontal cortex is included in the interaction. Combining these results, we show that multilevel irreversibility offers unique insights into the higher-order, hierarchical organisation of neural dynamics and presents a new perspective on the analysis of brain network dynamics.
DOI: 10.5281/zenodo.13939016
title: Multilevel irreversibility reveals higher-order organisation of non-equilibrium interactions in human brain dynamics

description: This dataset is used in the paper:

R.Nartallo-Kaluarachchi et al. Multilevel irreversibility reveals higher-order organisation of non-equilibrium interactions in human brain dynamics

The code for the analysis of the MEG data is made available at https://github.com/rnartallo/multilevelirreversibility

The in-house code used for MEG pre-processing is available at https://github.com/leonardob92/LBPD-1.0.

The data is provided after pre-processing (Maxfilter, ICA for removing eye blink and heart beat, co-registration with the individual MRI T1) and epoching.

This dataset contains data for 51 participants with 15 trials per participant.

The data is provided as the MEG_DataRNK2024.mat file which contains a nested MATLAB structure

MEG_Data:    1 x 51 Cell:        Cell: 6 x 1024 x 15 Double

This represent the activity from 6 brain regions at 1024 time-points for 15 trials.

Abstract

Information processing in the human brain can be modelled as a complex dynamical system operating out of equilibrium with multiple regions interacting nonlinearly. Yet, despite extensive study of the global level of non-equilibrium in the brain, quantifying the irreversibility of interactions among brain regions at multiple levels remains an unresolved challenge. Here, we present the Directed Multiplex Visibility Graph Irreversibility framework, a method for analysing neural recordings using network analysis of time-series. Our approach constructs directed multi-layer graphs from multivariate time-series where information about irreversibility can be decoded from the marginal degree distributions across the layers, which each represents a variable. This framework is able to quantify the irreversibility of every interaction in the complex system. Applying the method to magnetoencephalography recordings during a long-term memory recognition task, we quantify the multivariate irreversibility of interactions between brain regions and identify the combinations of regions which showed higher levels of non-equilibrium in their interactions. For individual regions, we find higher irreversibility in cognitive versus sensorial brain regions whilst for pairs, strong relationships are uncovered between cognitive and sensorial pairs in the same hemisphere. For triplets and quadruplets, the most non-equilibrium interactions are between cognitive-sensorial pairs alongside medial regions. Finally, for quintuplets, our analysis finds higher irreversibility when the prefrontal cortex is included in the interaction. Combining these results, we show that multilevel irreversibility offers unique insights into the higher-order, hierarchical organisation of neural dynamics and presents a new perspective on the analysis of brain network dynamics.
DOI: 10.5281/zenodo.13904498
title: Development of in silico methodologies to predict the toxicity of novel proteins in the context of food and feed risk assessment - Annexes

description: EU; en; xlsx; NIF@efsa.europa.eu
DOI: 10.5281/zenodo.13904499
title: Development of in silico methodologies to predict the toxicity of novel proteins in the context of food and feed risk assessment - Annexes

description: EU; en; xlsx; NIF@efsa.europa.eu
DOI: 10.5281/zenodo.12634070
title: Weather- and climate-driven power supply and demand time series for European countries

description: This repository contains times series of of wind power generation, solar power generation, hydropower inflow, heating demand, and cooling demand that uses both historical and projected climate variables. Historical climate data are from the ERA5 reanalysis (1940-2023), while projected climate variables are from three climate models of the CMIP5 EURO-CORDEX (2006-2100) and three representative concentration pathways (RCP 2.6, RCP 4.5 and RCP 8.5). The time series are at country level for the EU27 countries, Balkan countries, the United Kingdom, Norway, and Switzerland.

Each country has the following files for the historical period, where ** is the country’s ISO Alpha-2 code:

1)    **__ERA5__wind__capacity_factor_time_series__onshore.nc2)    **__ERA5__wind__capacity_factor_time_series__offshore.nc3)    **__ERA5__solar__capacity_factor_time_series.nc4)    **__ERA5__hydropower__inflow_time_series__conventional_and_pumped_storage.nc5)    **__ERA5__hydropower__inflow_time_series__run_of_river.nc6)    **__ERA5__heating__demand_time_series__residential_space.nc7)    **__ERA5__heating__demand_time_series__services_space.nc8)    **__ERA5__cooling__demand_time_series.nc

Each country has also the following files for the climate projections, where ** is the country’s ISO Alpha-2 code, #_# is the value of the RCP scenario (e.g., 2_6 is RCP 2.6), ££££__&&&& is the name of the combination of global-regional climate models (e.g., CNRM_CERFACS_CM5__CNRM_ALADIN63):

9)    **__CORDEX__RCP_#_#__££££__&&&&__wind__capacity_factor_time_series__onshore.nc10)    **__CORDEX__RCP_#_#__££££__&&&&__wind__capacity_factor_time_series__offshore.nc11)    **__CORDEX__RCP_#_#__££££__&&&&__solar__capacity_factor_time_series.nc12)    **__CORDEX__RCP_#_#__££££__&&&&__hydropower__inflow_time_series__conventional_and_pumped_storage.nc13)    **__CORDEX__RCP_#_#__££££__&&&&__hydropower__inflow_time_series__run_of_river.nc14)    **__CORDEX__RCP_#_#__££££__&&&&__heating__demand_time_series__residential_space.nc15)    **__CORDEX__RCP_#_#__££££__&&&&__heating__demand_time_series__services_space.nc16)    **__CORDEX__RCP_#_#__££££__&&&&__cooling__demand_time_series.nc

The repository also contains the caliration coefficients that resulted from the calibration procedure for the countries in which data were available.
DOI: 10.15468/dl.vf4vjd
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Boana tetete (Caminer & Ron, 2014)"
 ]
}

 The dataset includes 31 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017184-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13933144
title: MD simulations of TOCL(TMA/Na) and TLCL(Na) in CHARMM36

description: Simulation of TLCL and TOCL is done in GROMACS 2024.x in fully hydrated states using standrad CHARMM-GUI protocol over 500 ns after 100 ns of pre-equilibration (not deposited). Trajectory is saved every 100 ps with velocities. Temperature 303K (v-rescale), pressure semi-isotropic 1bar (parrinello-rahman). Three systems are deposited:



TLCL (33/33), NaCl (66*2+15), H2O (~45 w/P)

TOCL (33/33), TMACl (66*2+11), H2O (~32 w/P)

TOCL (33/33), NaCl (66*2+11), H2O (~40 w/P)
DOI: 10.5281/zenodo.13933145
title: MD simulations of TOCL(TMA/Na) and TLCL(Na) in CHARMM36

description: Simulation of TLCL and TOCL is done in GROMACS 2024.x in fully hydrated states using standrad CHARMM-GUI protocol over 500 ns after 100 ns of pre-equilibration (not deposited). Trajectory is saved every 100 ps with velocities. Temperature 303K (v-rescale), pressure semi-isotropic 1bar (parrinello-rahman). Three systems are deposited:



TLCL (33/33), NaCl (66*2+15), H2O (~45 w/P)

TOCL (33/33), TMACl (66*2+11), H2O (~32 w/P)

TOCL (33/33), NaCl (66*2+11), H2O (~40 w/P)
DOI: 10.15468/dl.ve83bk
title: Occurrence Download

description: A dataset containing 267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nassella trichotoma (Nees) Hack. & Arechav.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900",
 "BasisOfRecord is one of (Specimen)",
 "Country is one of (Australia)",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 20000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 267 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017188-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6uugzm
title: Occurrence Download

description: A dataset containing 1532041 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lathyrus L.",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1532041 records from 3863 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017110-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pukg5c
title: Occurrence Download

description: A dataset containing 238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Romulea arnaudii Moret",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 238 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0416557-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m386c3
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-73.9394427999999948 41.6903830999999983, -73.9394427999999948 41.6916632499999977, -73.9394427999999948 41.6923033300000014, -73.9394427999999948 41.6932388299999985, -73.9394427999999948 41.6938296699999995, -73.9394427999999948 41.6946666899999983, -73.9394427999999948 41.6953560099999976, -73.9394427999999948 41.6960945599999988, -73.9394427999999948 41.6974239500000010, -73.9394427999999948 41.6981625000000022, -73.9394427999999948 41.6993441799999971, -73.9394427999999948 41.7000334900000027, -73.9394427999999948 41.7010674599999973, -73.9394427999999948 41.7018060099999985, -73.9394427999999948 41.7028892200000030, -73.9394427999999948 41.7035292999999996, -73.9394427999999948 41.7043663199999983, -73.9394427999999948 41.7050064000000020, -73.9380652300000065 41.7050064000000020, -73.9370812500000056 41.7050064000000020, -73.9360972700000048 41.7050064000000020, -73.9345229000000046 41.7050064000000020, -73.9345229000000046 41.7036770099999998, -73.9345229000000046 41.7029877000000013, -73.9345229000000046 41.7022491399999993, -73.9345229000000046 41.7014121200000005, -73.9345229000000046 41.7008212799999995, -73.9345229000000046 41.6998365500000006, -73.9345229000000046 41.6989010500000035, -73.9345229000000046 41.6976701299999988, -73.9345229000000046 41.6965869200000014, -73.9345229000000046 41.6955529499999997, -73.9345229000000046 41.6943712699999978, -73.9345229000000046 41.6936819599999993, -73.9345229000000046 41.6926479899999975, -73.9345229000000046 41.6916632499999977, -73.9345229000000046 41.6903830999999983, -73.9361956700000036 41.6903830999999983, -73.9375732400000061 41.6903830999999983, -73.9384096200000016 41.6903830999999983, -73.9394427999999948 41.6903830999999983))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 87 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095646-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpmj43
title: Occurrence Download

description: A dataset containing 757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lagostomus maximus (Desmarest, 1817)"
 ]
}

 The dataset includes 757 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0135328-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.