cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive144968.20251217.10
title: Bacillus cereus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive144969.20241212.9.2
title: Corynebacterium urealyticum

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0133106.10fu
title: SH0133106.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive144969.20251217.10
title: Corynebacterium urealyticum

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0133107.10fu
title: SH0133107.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive144970.20241212.9.2
title: Sphingomonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive144970.20251217.10
title: Sphingomonas sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0133108.10fu
title: SH0133108.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive144971.20230509.8.1
title: Eikenella corrodens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive144971.20251217.10
title: Eikenella corrodens

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive144972.20241212.9.2
title: Lactobacillus rhamnosus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive144972.20251217.10
title: Lactobacillus rhamnosus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0133109.10fu
title: SH0133109.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive144973.20241212.9.2
title: Haemophilus parahaemolyticus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive144973.20251217.10
title: Haemophilus parahaemolyticus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.jexv3h
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neonothopanus gardneri (Berk.) Capelari, Desjardin, B.A.Perry, T.Asai & Stevani"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002714-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cmxxx6
title: Occurrence Download

description: A dataset containing 7113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen)",
 "Country is one of (United States of America, Mexico)",
 "TaxonKey is Callipepla californica (Shaw, 1798)"
 ]
}

 The dataset includes 7113 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002715-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w7z65k
title: Occurrence Download

description: A dataset containing 1685517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-117.15044 28.99304,-115.37925 23.15467,-109.47527 21.51467,-108.62248 22.76107,-110.45927 26.04105,-112.62406 29.58344,-117.15044 28.99304))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1685517 records from 1025 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002704-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.md4nvf
title: Occurrence Download

description: A dataset containing 671080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tyto alba (Scopoli, 1769)"
 ]
}

 The dataset includes 671080 records from 2096 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002707-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a4s8jy
title: Occurrence Download

description: A dataset containing 1514 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eupherusa cyanophrys J.S.Rowley & Orr, 1964"
 ]
}

 The dataset includes 1514 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058989-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fnaulw
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Human Observation"
 ]
 },
 "Country is Colombia",
 "HasCoordinate is true",
 "TaxonKey is Passiflora tica Gómez-Laur. & L.D.Gómez",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038104-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.max23h
title: Occurrence Download

description: A dataset containing 451 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bromus pumilio (Trin.) P.M.Sm."
 ]
}

 The dataset includes 451 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062262-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fjzhc6
title: Occurrence Download

description: A dataset containing 35325 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithobates catesbeianus (Shaw, 1802)"
 ]
}

 The dataset includes 35325 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038105-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gvsttt
title: Occurrence Download

description: A dataset containing 794369 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Pl@ntNet observations"
 ]
}

 The dataset includes 794369 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0140692-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrdutf
title: Occurrence Download

description: A dataset containing 3127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ampelodesmos mauritanicus (Poir.) T.Durand & Schinz)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3127 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045420-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t2gy3v
title: Occurrence Download

description: A dataset containing 25589 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diglossa baritula Wagler, 1832"
 ]
}

 The dataset includes 25589 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058922-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qp6yfx
title: Occurrence Download

description: A dataset containing 473 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crocus sativus L."
 ]
}

 The dataset includes 473 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038148-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfrk6g
title: Occurrence Download

description: A dataset containing 2658 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Rhincodon typus Smith, 1828)"
 ]
}

 The dataset includes 2658 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0170045-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hcqy5j
title: Occurrence Download

description: A dataset containing 492 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Euryceros prevostii Lesson, 1831"
 ]
}

 The dataset includes 492 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058915-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tlgdqz
title: Occurrence Download

description: A dataset containing 1231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stipa comata Trin. & Rupr.",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 1231 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038106-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yk2vyc
title: Occurrence Download

description: A dataset containing 20578910 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Mexico"
 ]
}

 The dataset includes 20578910 records from 3028 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0198095-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/cgswb7
title: images_12__39.tar.gz
DOI: 10.57745/d9rgvs
title: images_18__39.tar.gz
DOI: 10.57745/gogw4q
title: infos__39.txt
DOI: 10.57745/mgg3vm
title: batiments__41.prj
DOI: 10.57745/u3kvpb
title: batiments__41.shp
DOI: 10.57745/sn8zpj
title: batiments__41.dbf
DOI: 10.57745/mb3dxa
title: batiments__41.shx
DOI: 10.57745/gxgr2r
title: images_11__41.tar.gz
DOI: 10.57745/way0ij
title: batiments__41.cpg
DOI: 10.57745/htkv5y
title: images_09__41.tar.gz
DOI: 10.15468/dl.bcbpcj
title: Occurrence Download

description: A dataset containing 707 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dalbergia assamica)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 707 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005813-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/4wux3m
title: images_00__41.tar.gz
DOI: 10.57745/hfdkva
title: images_31__41.tar.gz
DOI: 10.57745/kktonv
title: images_27__41.tar.gz
DOI: 10.57745/e6wzc0
title: images_02__41.tar.gz
DOI: 10.15468/dl.m34nyp
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arianta arbustorum",
 "Country is Latvia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 264 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005814-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/mmsuaw
title: images_07__41.tar.gz
DOI: 10.57745/2yz1ai
title: images_10__41.tar.gz
DOI: 10.57745/o48vwk
title: images_04__41.tar.gz
DOI: 10.57745/qkqkz8
title: images_34__41.tar.gz
DOI: 10.57745/fp7zcg
title: images_01__41.tar.gz
DOI: 10.57745/0exi4m
title: images_23__41.tar.gz
DOI: 10.57745/lo1mca
title: images_13__41.tar.gz
DOI: 10.57745/iodq0o
title: images_12__41.tar.gz
DOI: 10.57745/hhpm6u
title: images_24__41.tar.gz
DOI: 10.57745/2hdyiv
title: images_30__41.tar.gz
DOI: 10.57745/qtlmap
title: images_25__41.tar.gz
DOI: 10.57745/nptbox
title: images_36__41.tar.gz
DOI: 10.57745/xnn7k5
title: images_17__41.tar.gz
DOI: 10.5281/zenodo.17228390
title: Predictive Coding algorithms induce brain-like responses in Artificial Neural Networks - Supplementary Data

description: This repository contains relevant the relevant models to reproduce the results reported in: Gütlin, D., & Auksztulewicz, R. (2025). Predictive Coding algorithms induce brain-like responses in Artificial Neural Networks. bioRxiv, 2025-01.

This repository contains pretrained models required to directly reproduce results mentioned in the study. All code to train the models and reproduce the results of the study can be found in: https://github.com/DiGyt/predictive_coding_algorithmsWhile the entire study can be fully replicated only using the code in the above named repository, these pretrained models can be used to directly replicate the analysis script (the MNIST-based stimulus dataset will be downloaded automatically through the code). To do so, simply direct the paths in the loading dict of the analysis file to the unzipped model folders in this repository. The correct models are:Main study:Supervised: exp_Statistical_Learning-algo_Supervised-loc_False-rec_True-gain_False-sparse_FalseUntrained: exp_Statistical_Learning-algo_Untrained-loc_False-rec_True-gain_False-sparse_FalsePredictive global: exp_Statistical_Learning-algo_Predictive_Prior-loc_False-rec_True-gain_False-sparse_FalsePredictive local: exp_Statistical_Learning-algo_Predictive_Prior-loc_True-rec_True-gain_False-sparse_FalseContrastive global: exp_Statistical_Learning-algo_Forward_Forward-loc_False-rec_True-gain_False-sparse_FalseContrastive local: exp_Statistical_Learning-algo_Forward_Forward-loc_True-rec_True-gain_False-sparse_FalseBAIR robot pushing replication:Supervised: exp_Video_Learning-algo_Supervised-loc_False-rec_True-gain_False-sparse_FalseUntrained: exp_Video_Learning-algo_Untrained-loc_True-rec_True-gain_False-sparse_FalsePredictive global: exp_Video_Learning-algo_Predictive_Prior-loc_False-rec_True-gain_False-sparse_FalsePredictive local: exp_Video_Learning-algo_Predictive_Prior-loc_True-rec_True-gain_False-sparse_FalseContrastive global: exp_Video_Learning-algo_Forward_Forward-loc_False-rec_True-gain_False-sparse_FalseContrastive local: exp_Video_Learning-algo_Forward_Forward-loc_True-rec_True-gain_False-sparse_False
DOI: 10.5281/zenodo.17228391
title: Predictive Coding algorithms induce brain-like responses in Artificial Neural Networks - Supplementary Data

description: This repository contains relevant the relevant models to reproduce the results reported in: Gütlin, D., & Auksztulewicz, R. (2025). Predictive Coding algorithms induce brain-like responses in Artificial Neural Networks. bioRxiv, 2025-01.

This repository contains pretrained models required to directly reproduce results mentioned in the study. All code to train the models and reproduce the results of the study can be found in: https://github.com/DiGyt/predictive_coding_algorithmsWhile the entire study can be fully replicated only using the code in the above named repository, these pretrained models can be used to directly replicate the analysis script (the MNIST-based stimulus dataset will be downloaded automatically through the code). To do so, simply direct the paths in the loading dict of the analysis file to the unzipped model folders in this repository. The correct models are:Main study:Supervised: exp_Statistical_Learning-algo_Supervised-loc_False-rec_True-gain_False-sparse_FalseUntrained: exp_Statistical_Learning-algo_Untrained-loc_False-rec_True-gain_False-sparse_FalsePredictive global: exp_Statistical_Learning-algo_Predictive_Prior-loc_False-rec_True-gain_False-sparse_FalsePredictive local: exp_Statistical_Learning-algo_Predictive_Prior-loc_True-rec_True-gain_False-sparse_FalseContrastive global: exp_Statistical_Learning-algo_Forward_Forward-loc_False-rec_True-gain_False-sparse_FalseContrastive local: exp_Statistical_Learning-algo_Forward_Forward-loc_True-rec_True-gain_False-sparse_FalseBAIR robot pushing replication:Supervised: exp_Video_Learning-algo_Supervised-loc_False-rec_True-gain_False-sparse_FalseUntrained: exp_Video_Learning-algo_Untrained-loc_True-rec_True-gain_False-sparse_FalsePredictive global: exp_Video_Learning-algo_Predictive_Prior-loc_False-rec_True-gain_False-sparse_FalsePredictive local: exp_Video_Learning-algo_Predictive_Prior-loc_True-rec_True-gain_False-sparse_FalseContrastive global: exp_Video_Learning-algo_Forward_Forward-loc_False-rec_True-gain_False-sparse_FalseContrastive local: exp_Video_Learning-algo_Forward_Forward-loc_True-rec_True-gain_False-sparse_False
DOI: 10.57745/iqm7tw
title: images_26__41.tar.gz
DOI: 10.15156/bio/sh1168016.10fu
title: SH1168016.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.