cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18712/nsd-nsd2387-v2
title: Russias Defence Industry - An Engine for Economic Growth? 2017

description: Within a decade, starting from 2011 Russia is planning to spend roughly one and a half federal budget (22,000 billion roubles) on modernization of the country's military-industrial complex and a full-scale rearmament of the Armed Forces. The investments are supposed to improve both Russia's military capabilities, and Russia's economic performance. The main aim of the project was to investigate the potential effects on the overall Russian economy of the large defence outlays – in particular the ongoing rearmament program. The main finding was that while those who have rejected almost any positive effects on the overall economy of the high defence spending have been too dismissive, there is little to suggest that the defence industry will become a locomotive for the economy in the ways suggested by Russian officials. Data on the Russian population attitudes towards defense spending were collected, in addition to data on the Russian defense industry's production capacity and export of military equipment.

For further information about "Russias Defence Industry - An Engine for Economic Growth? 2017", please contact the principal investigator.
DOI: 10.15468/dl.3ukfcj
title: Occurrence Download

description: A dataset containing 2382 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Ficus lutea Vahl",
 "Continent is Africa"
 ]
}

 The dataset includes 2382 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014868-240906103802322/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.24114249
title: GenBank and voucher accession numbers of sequences included in the phylogenetic analyses

description: GenBank and voucher accession numbers of sequences included in the phylogenetic analyses
DOI: 10.6084/m9.figshare.24114249.v1
title: GenBank and voucher accession numbers of sequences included in the phylogenetic analyses

description: GenBank and voucher accession numbers of sequences included in the phylogenetic analyses
DOI: 10.5281/zenodo.1172960
title: Belmont Forum Open Data Survey 2014

description: Belmont Forum Open Data Survey, September -- November 2014, by the Open Data working group of the E-Infrastructure and Data Management Collaborative Research Action (http://www.bfe-inf.org/).


For the publication of the survey data free text answers have either be lightly edited (question 4, other), or are provided in separate files (questions 8, 15, 16, 17). 


Publication of the results is under preparation (manuscript submitted).
DOI: 10.5281/zenodo.16384
title: Belmont Forum Open Data Survey 2014

description: Belmont Forum Open Data Survey, September -- November 2014, by the Open Data working group of the E-Infrastructure and Data Management Collaborative Research Action (http://www.bfe-inf.org/).

For the publication of the survey data free text answers have either be lightly edited (question 4, other), or are provided in separate files (questions 8, 15, 16, 17). 

Publication of the results is under preparation (manuscript submitted).
DOI: 10.5281/zenodo.608984
title: Belmont Forum Open Data Survey 2014

description: Belmont Forum Open Data Survey, September -- November 2014, by the Open Data working group of the E-Infrastructure and Data Management Collaborative Research Action (http://www.bfe-inf.org/).


For the publication of the survey data free text answers have either be lightly edited (question 4, other), or are provided in separate files (questions 8, 15, 16, 17). 


Publication of the results is under preparation (manuscript submitted).
DOI: 10.5281/zenodo.13759566
title: Global natural and planted forests dataset (added tiles 300-400)
DOI: 10.5281/zenodo.13759567
title: Global natural and planted forests dataset (added tiles 300-400)
DOI: 10.15468/dl.fa9t5q
title: Occurrence Download

description: A dataset containing 662 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Ficus mucuso Welw. ex Ficalho",
 "Continent is Africa"
 ]
}

 The dataset includes 662 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014869-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13759698
title: Characterization of Neutrophil Functional Responses to SARS-CoV-2 Infection in a Translational Feline Model for COVID-19
DOI: 10.5281/zenodo.13759699
title: Characterization of Neutrophil Functional Responses to SARS-CoV-2 Infection in a Translational Feline Model for COVID-19
DOI: 10.25592/uhhfdm.15162
title: Papers of Ernst Leumann (165): [Āvaśyaka] "Zu den Āvaśyaka-Erzählungen?"

description: <strong>[Āvaśyaka] "Zu den Āvaśyaka-Erzählungen?"</strong>Katalognummer: 165Medium/Umfang: many unbound leavesLokale Notation: Schu.: 1.B.3.Projektmetadaten:<pre>20 : [Āvaśyaka] "Zu den Āvaśyaka-Erzählungen?"
30b: Schu.: 1.B.3.
77 : many unbound leaves
90 : 165
</pre>
description: Reference: Plutat, Birte: Catalogue of the papers of Ernst Leumann in the Institute for the Culture and History of India and Tibet, University of Hamburg. Stuttgart: Steiner, 1998. Copybook 165, p. resp fol. [No of page of leaf]
The remains belong to "Universität Hamburg - Asien-Afrika-Institut - Abteilung für Kultur und Geschichte Indiens und Tibets".
DOI: 10.25592/uhhfdm.15163
title: Papers of Ernst Leumann (165): [Āvaśyaka] "Zu den Āvaśyaka-Erzählungen?"

description: <strong>[Āvaśyaka] "Zu den Āvaśyaka-Erzählungen?"</strong>Katalognummer: 165Medium/Umfang: many unbound leavesLokale Notation: Schu.: 1.B.3.Projektmetadaten:<pre>20 : [Āvaśyaka] "Zu den Āvaśyaka-Erzählungen?"
30b: Schu.: 1.B.3.
77 : many unbound leaves
90 : 165
</pre>
description: Reference: Plutat, Birte: Catalogue of the papers of Ernst Leumann in the Institute for the Culture and History of India and Tibet, University of Hamburg. Stuttgart: Steiner, 1998. Copybook 165, p. resp fol. [No of page of leaf]
The remains belong to "Universität Hamburg - Asien-Afrika-Institut - Abteilung für Kultur und Geschichte Indiens und Tibets".
DOI: 10.25592/uhhfdm.15164
title: Papers of Ernst Leumann (166): [Āvaśyaka] "Zu Āvaśyaka-Erzählungen ? : Āv. VIII 163"

description: <strong>[Āvaśyaka] "Zu Āvaśyaka-Erzählungen ? : Āv. VIII 163"</strong>Katalognummer: 166Medium/Umfang: 2 unbound leavesLokale Notation: Schu.: 1.B.3.Projektmetadaten:<pre>20 : [Āvaśyaka] "Zu Āvaśyaka-Erzählungen ? : Āv. VIII 163"
30b: Schu.: 1.B.3.
77 : 2 unbound leaves
90 : 166
</pre>
description: Reference: Plutat, Birte: Catalogue of the papers of Ernst Leumann in the Institute for the Culture and History of India and Tibet, University of Hamburg. Stuttgart: Steiner, 1998. Copybook 166, p. resp fol. [No of page of leaf]
The remains belong to "Universität Hamburg - Asien-Afrika-Institut - Abteilung für Kultur und Geschichte Indiens und Tibets".
DOI: 10.25592/uhhfdm.15165
title: Papers of Ernst Leumann (166): [Āvaśyaka] "Zu Āvaśyaka-Erzählungen ? : Āv. VIII 163"

description: <strong>[Āvaśyaka] "Zu Āvaśyaka-Erzählungen ? : Āv. VIII 163"</strong>Katalognummer: 166Medium/Umfang: 2 unbound leavesLokale Notation: Schu.: 1.B.3.Projektmetadaten:<pre>20 : [Āvaśyaka] "Zu Āvaśyaka-Erzählungen ? : Āv. VIII 163"
30b: Schu.: 1.B.3.
77 : 2 unbound leaves
90 : 166
</pre>
description: Reference: Plutat, Birte: Catalogue of the papers of Ernst Leumann in the Institute for the Culture and History of India and Tibet, University of Hamburg. Stuttgart: Steiner, 1998. Copybook 166, p. resp fol. [No of page of leaf]
The remains belong to "Universität Hamburg - Asien-Afrika-Institut - Abteilung für Kultur und Geschichte Indiens und Tibets".
DOI: 10.15468/dl.8tyu9m
title: Occurrence Download

description: A dataset containing 1585 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Ficus natalensis Hochst.",
 "Continent is Africa"
 ]
}

 The dataset includes 1585 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014871-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ta8s5y
title: Occurrence Download

description: A dataset containing 1585 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Ficus natalensis Hochst.",
 "Continent is Africa"
 ]
}

 The dataset includes 1585 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014874-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cehh4h
title: Occurrence Download

description: A dataset containing 1585 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Ficus natalensis Hochst.",
 "Continent is Africa"
 ]
}

 The dataset includes 1585 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014876-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ekue7
title: Occurrence Download

description: A dataset containing 28162 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schizaeaceae"
 ]
}

 The dataset includes 28162 records from 457 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014872-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9384837
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.15468/dl.gr9urj
title: Occurrence Download

description: A dataset containing 1585 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Ficus natalensis Hochst.",
 "Continent is Africa"
 ]
}

 The dataset includes 1585 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014877-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13388722
title: Data and scripts used in: "Exploring Biological Neuronal Correlations with Quantum Generative Models"

description: Data and script for the manuscript "Exploring Biological Neuronal Correlations with Quantum Generative Models", by Vinicius Hernandes and Eliska Greplova.

main scripts



generate_activity_dataset.py

reshape data in neuronData.npy to 50k samples of (neurons, timesteps) shape, saved in activity_data.npy

create_target_distributions.py

based on the dataset, makes dicionary with the the target distribution for each (neurons, timesteps) pair, saved in distribution_target_dictionary.pkl

create_hyperparameters_file.py

generates hyperparameters.csv, containing:




number of neurons

number of timesteps

number of auxiliary_qubits

batch_size

learning rate of generator

learning rate of critic

number parametrized layers

number of training iterations

loss type


for each run

train_qgan.py



trains models defined models.py using activity_data.npy dataset, and for the hyperparameters defined in hyperparameters.csv


saves loss functions, and the trained models for each 10 iterations, in specific folders indexed by the run specified in the hyperparameters file

 

generate_fake_activity.py

 

uses trained models saved in output/models/run{run}/i{training_step}.pth for a specific training_step and run to generate fake data, and save them in output/generated_data/run{run}/i{training_step}.npy files

 

analyze_error.py

 

uses generated data saved in output/generated_data/run{run}/i{training_step}.npy to generate two statistical quantities (k-probs and firing rate), using the function in metrics.py, and compare the errors in those quantities between the models using k-loss and standard-loss

 

analyze_stats.py

 

uses generated data saved in output/generated_data/run{run}/i{training_step}.npy to generate:



js diverge for each training step, and final distribution of generated states, stored in distribution_target_dictionary.pkl

other statistical quantities, using the function in metrics.py file


auxiliary scripts

metrics.py

 

functions to calculate neuronal statistics

 

aux.py

 

auxiliary functions:



to generate states distribution given a dataset

custom js divergence


Data

neuronData.npy

neuronal data from Marre et al., Multi-electrode array recording from salamander retinal ganglion cells (2017)

activity_data.npy

dataset obtained from neuronData.npy, taking 50 thousand samples of shape (neurons, timesteps)

output

results obtained from train_qgan.py and generate_fake_activity.py 

contains:



losses


generator and critic loss for all training runs and steps



models


saved torch models every 10 training steps, for all training runs



generated_data


generated data for all models saved in models
DOI: 10.5281/zenodo.13388723
title: Data and scripts used in: "Exploring Biological Neuronal Correlations with Quantum Generative Models"

description: Data and script for the manuscript "Exploring Biological Neuronal Correlations with Quantum Generative Models", by Vinicius Hernandes and Eliska Greplova.

main scripts



generate_activity_dataset.py

reshape data in neuronData.npy to 50k samples of (neurons, timesteps) shape, saved in activity_data.npy

create_target_distributions.py

based on the dataset, makes dicionary with the the target distribution for each (neurons, timesteps) pair, saved in distribution_target_dictionary.pkl

create_hyperparameters_file.py

generates hyperparameters.csv, containing:




number of neurons

number of timesteps

number of auxiliary_qubits

batch_size

learning rate of generator

learning rate of critic

number parametrized layers

number of training iterations

loss type


for each run

train_qgan.py



trains models defined models.py using activity_data.npy dataset, and for the hyperparameters defined in hyperparameters.csv


saves loss functions, and the trained models for each 10 iterations, in specific folders indexed by the run specified in the hyperparameters file

 

generate_fake_activity.py

 

uses trained models saved in output/models/run{run}/i{training_step}.pth for a specific training_step and run to generate fake data, and save them in output/generated_data/run{run}/i{training_step}.npy files

 

analyze_error.py

 

uses generated data saved in output/generated_data/run{run}/i{training_step}.npy to generate two statistical quantities (k-probs and firing rate), using the function in metrics.py, and compare the errors in those quantities between the models using k-loss and standard-loss

 

analyze_stats.py

 

uses generated data saved in output/generated_data/run{run}/i{training_step}.npy to generate:



js diverge for each training step, and final distribution of generated states, stored in distribution_target_dictionary.pkl

other statistical quantities, using the function in metrics.py file


auxiliary scripts

metrics.py

 

functions to calculate neuronal statistics

 

aux.py

 

auxiliary functions:



to generate states distribution given a dataset

custom js divergence


Data

neuronData.npy

neuronal data from Marre et al., Multi-electrode array recording from salamander retinal ganglion cells (2017)

activity_data.npy

dataset obtained from neuronData.npy, taking 50 thousand samples of shape (neurons, timesteps)

output

results obtained from train_qgan.py and generate_fake_activity.py 

contains:



losses


generator and critic loss for all training runs and steps



models


saved torch models every 10 training steps, for all training runs



generated_data


generated data for all models saved in models
DOI: 10.15468/dl.efw2k2
title: Occurrence Download

description: A dataset containing 552 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Ficus ottoniifolia (Miq.) Miq.",
 "Continent is Africa"
 ]
}

 The dataset includes 552 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014878-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2u8a29
title: Occurrence Download

description: A dataset containing 749781 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Xeno-canto - Bird sounds from around the world"
 ]
}

 The dataset includes 749781 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014870-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m9jwht
title: Occurrence Download

description: A dataset containing 73587 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Marsileaceae"
 ]
}

 The dataset includes 73587 records from 1120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014873-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.76duqm
title: Occurrence Download

description: A dataset containing 1227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-79.05762 -54.62402,-61.21582 -57.7002,-56.68945 -53.34961,-60.20508 -44.0332,-43.61572 -23.31299,-60.20508 -18.19336,-67.60986 -21.24756,-67.55675 -17.40432,-70.40039 -16.61133,-79.05762 -54.62402))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Echinochloa P.Beauv."
 ]
}

 The dataset includes 1227 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0329205-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.0vdoma
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alcippe striaticollis (J.Verreaux, 1870)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001087-150831095807960/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ppcse
title: Occurrence Download

description: A dataset containing 219 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Luciosudis normani Fraser-Brunner, 1931"
 ]
}

 The dataset includes 219 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029052-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.reyzpy
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echinocodon lobophyllus D.Y.Hong"
 ]
}

 The dataset includes 17 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003093-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9nc6a
title: Occurrence Download

description: A dataset containing 84066 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chiroptera",
 "GadmGid is one of (USA)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 84066 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0187104-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5m6445
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Edgeworthia albiflora Nakai"
 ]
}

 The dataset includes 13 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003099-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhbnt2
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macroparalepis macrogeneion Post, 1973"
 ]
}

 The dataset includes 146 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029058-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ojnqvo
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mammillaria mathildae Kraehenb. & Krainz"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001087-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ndre1o
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scopelosaurus hamiltoni (Waite, 1916)"
 ]
}

 The dataset includes 117 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029056-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q6qvwq
title: Occurrence Download

description: A dataset containing 1438 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingCountry is Canada",
 "TaxonKey is one of (Prosartes trachycarpa S.Watson)"
 ]
}

 The dataset includes 1438 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003097-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cnm9rd
title: Occurrence Download

description: A dataset containing 5388 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platanthera lacera (Michx.) G.Don"
 ]
}

 The dataset includes 5388 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0187200-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.