cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34816/ifao.archives.210463
title: FONDS SERGE SAUNERON_nb_1964_01321

description: Référence : nb_1964_01321<br />Site : Esna<br />Secteur : Salle hypostyle (Temple de Khnoum); Temple de Khnoum<br />Type : photographie<br />
DOI: 10.15468/dl.a6t7qb
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Portugal, Spain)",
 "TaxonKey is Cistus ladanifer subsp. sulcatus (Demoly) P.Monts."
 ]
}

 The dataset includes 301 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094038-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6tms6f
title: Occurrence Download

description: A dataset listing the 124 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-109.62982 23.61936,-109.69368 23.66088,-109.69643 23.69358,-109.71153 23.73758,-109.70329 23.80042,-109.83788 23.92225,-109.83788 23.99127,-109.81865 23.99378,-109.80766 24.0264,-109.82552 24.03643,-109.83101 24.06277,-109.92577 24.02891,-109.97023 24.03863,-109.98705 24.04458,-109.99529 24.10853,-109.99872 24.1289,-110.00834 24.15928,-110.01795 24.16774,-110.13571 24.23476,-110.14875 24.24884,-110.17313 24.25197,-110.18652 24.2695,-110.18377 24.28046,-110.19991 24.29673,-110.20866 24.29454,-110.24025 24.31456,-110.23064 24.34585,-110.29381 24.3546,-110.30205 24.33709,-110.32951 24.33333,-110.31441 24.31832,-110.33638 24.31331,-110.32917 24.28014,-110.30651 24.23382,-110.31269 24.22129,-110.29827 24.21754,-110.30308 24.17495,-110.27252 24.14174,-110.11871 24.00633,-110.0473 23.78032,-109.90448 23.65962,-109.71771 23.51363,-109.62982 23.61936))",
 "TaxonKey is Reptilia",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 124 records were derived from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001679-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/b00277a6-9431-47dc-9369-e9a477031e66
title: Code underlying the PhD thesis: Label Alchemy: Transforming Noisy Data into Precious Insights in Deep Learning

description: Labels are essential for training Deep Neural Networks (DNNs), guiding learning with fundamental ground truth. Label quality directly impacts DNN performance and generalization with accurate labels fostering robust predictions. Noisy labels introduce errors and hinder learning, affecting performance adversely. High-quality labels aid convergence, optimizing DNN training towards accurate data distribution representation. Ensuring label accuracy is vital for DNNs' effective learning, generalization, and real-world performance. Undoubtedly, ensuring the quality of labels is not only critical but also demanding, often entailing considerable resources in terms of time and cost. As the scale of datasets grows, methods such as crowdsourcing have gained traction to expedite the labeling process. However, this approach comes with its own set of challenges, most notably the inherent susceptibility to errors and inaccuracies. For example, it was observed that the accuracy of AlexNet in classifying CIFAR-10 images plummeted from 77\% to a mere 10\% when labels were subjected to random flips. This stark drop in accuracy exemplifies the magnitude of influence that corrupted or erroneous labels can exert on the performance of DNNs. Such instances underscore the critical relationship between accurate labels and the efficacy of DNNs in understanding and effectively leveraging data.Ensuring DNN robustness is vital, involving strategies like noise label identification, filtering, and integrating noise patterns into training for resilient models. Architectural and loss function design also combats label-related challenges, enhancing DNN adaptability across applications. This thesis investigates the pivotal role of labels in DNN training and their quality impact on model performance. Strategies spanning noise recovery, robust learning frameworks, and multi-label solutions contribute to DNN resilience against noisy labels, advancing both understanding and practical applications.<br>***This is the code repository for each chapter of the thesis. ***<br>
DOI: 10.15468/dl.8v5t8x
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bhidea fischeri Sreek. & B.V.Shetty"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094053-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/b00277a6-9431-47dc-9369-e9a477031e66.v1
title: Code underlying the PhD thesis: Label Alchemy: Transforming Noisy Data into Precious Insights in Deep Learning

description: Labels are essential for training Deep Neural Networks (DNNs), guiding learning with fundamental ground truth. Label quality directly impacts DNN performance and generalization with accurate labels fostering robust predictions. Noisy labels introduce errors and hinder learning, affecting performance adversely. High-quality labels aid convergence, optimizing DNN training towards accurate data distribution representation. Ensuring label accuracy is vital for DNNs' effective learning, generalization, and real-world performance. Undoubtedly, ensuring the quality of labels is not only critical but also demanding, often entailing considerable resources in terms of time and cost. As the scale of datasets grows, methods such as crowdsourcing have gained traction to expedite the labeling process. However, this approach comes with its own set of challenges, most notably the inherent susceptibility to errors and inaccuracies. For example, it was observed that the accuracy of AlexNet in classifying CIFAR-10 images plummeted from 77\% to a mere 10\% when labels were subjected to random flips. This stark drop in accuracy exemplifies the magnitude of influence that corrupted or erroneous labels can exert on the performance of DNNs. Such instances underscore the critical relationship between accurate labels and the efficacy of DNNs in understanding and effectively leveraging data.Ensuring DNN robustness is vital, involving strategies like noise label identification, filtering, and integrating noise patterns into training for resilient models. Architectural and loss function design also combats label-related challenges, enhancing DNN adaptability across applications. This thesis investigates the pivotal role of labels in DNN training and their quality impact on model performance. Strategies spanning noise recovery, robust learning frameworks, and multi-label solutions contribute to DNN resilience against noisy labels, advancing both understanding and practical applications.<br>***This is the code repository for each chapter of the thesis. ***<br>
DOI: 10.15468/dl.j8n98n
title: Occurrence Download

description: A dataset containing 1014 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-84.6048291999999975 38.9962046999999998, -84.6048291999999975 38.9979662300000030, -84.6048291999999975 38.9991405900000032, -84.6048291999999975 39.0011957099999975, -84.6048291999999975 39.0037401499999987, -84.6048291999999975 39.0055016800000018, -84.6048291999999975 39.0075568000000032, -84.6048291999999975 39.0087311600000035, -84.6048291999999975 39.0101991000000012, -84.6034561099999962 39.0101991000000012, -84.6008080000000007 39.0101991000000012, -84.5977675799999957 39.0101991000000012, -84.5950213999999932 39.0101991000000012, -84.5950213999999932 39.0084375699999981, -84.5950213999999932 39.0070674899999972, -84.5950213999999932 39.0054038199999979, -84.5950213999999932 39.0030551099999983, -84.5950213999999932 39.0012935700000014, -84.5950213999999932 39.0000213499999973, -84.5950213999999932 38.9980641000000006, -84.5950213999999932 38.9962046999999998, -84.5975714300000021 38.9962046999999998, -84.5992387499999978 38.9962046999999998, -84.6014945499999982 38.9962046999999998, -84.6028676399999995 38.9962046999999998, -84.6048291999999975 38.9962046999999998))",
 "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 1014 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099716-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvczzg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xylosandrus crassiusculus Wood, 1982",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Poland",
 "Country is Poland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0387141-210914110416597/datasets/export for details.
DOI: 10.15468/dl.nuj3sn
title: Occurrence Download

description: A dataset containing 939 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acanthoscelides pallidipennis (Motschulsky, 1874)"
 ]
}

 The dataset includes 939 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094072-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cg4rk3
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Callionymus marquesensis Fricke, 1989"
 ]
}

 The dataset includes 35 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062370-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3xtppv
title: Occurrence Download

description: A dataset containing 2390 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Boletus edulis Bull."
 ]
}

 The dataset includes 2390 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011720-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xf2r57
title: Occurrence Download

description: A dataset containing 10062 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Psittacus erithacus Linnaeus, 1758"
 ]
}

 The dataset includes 10062 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011721-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13748542
title: Transport chirality generated by a tunable tilt of Weyl nodes in a van der Waals topological magnet

description: The source ASCII data files for the article entitled "Transport chirality generated by a tunable tilt of Weylnodes in a van der Waals topological magnet".
DOI: 10.5281/zenodo.13748543
title: Transport chirality generated by a tunable tilt of Weyl nodes in a van der Waals topological magnet

description: The source ASCII data files for the article entitled "Transport chirality generated by a tunable tilt of Weylnodes in a van der Waals topological magnet".
DOI: 10.15468/dl.82axsp
title: Occurrence Download

description: A dataset containing 344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is China",
 "TaxonKey is Nicandra physalodes (L.) Gaertn."
 ]
}

 The dataset includes 344 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011723-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcxrxe
title: Occurrence Download

description: A dataset containing 344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is China",
 "TaxonKey is Nicandra physalodes (L.) Gaertn."
 ]
}

 The dataset includes 344 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011724-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58132/kuolir
title: Research data for article: Alignment of lyotropic liquid crystals using magnetic nanoparticles improves ionic transport through built-in peptide ion channels

description: The characteristics of the incorporation of gramicidin membrane ion channels and hFe3O4NPs in the lipidic hexagonal structure using SAXS and cryo-TEM methods is reported. The conductive characteristics of freestanding films of lipidic hexagonal mesophases, both with and without gramicidin potassium channels, utilizing a range of electrochemical techniques, including impedance spectroscopy, normal pulse voltammetry, and chronoamperometry was studied. A state-of-the-art breakthrough in enhancing ion transport in lyotropic liquid crystals as matrices for integral proteins and peptides is reported. The remarkable efficacy of membranes composed of hexagonal lipid mesophases embedded with K+transporting peptides is shown. This enhancement is achieved through doping with hFe3O4NPs and exposure to a magnetic field. The intricate interplay between the conductive properties of the lipidic hexagonal structure, hFe3O4NPs, gramicidin incorporation, and the influence of Ca2+on K+channels is presented. A new direction in ion channel studies and biomimetic membrane investigations, presenting a versatile model for biomimetic membranes with unprecedented ion transport capabilities under an appropriately oriented magnetic field is reported.
DOI: 10.15468/dl.kkgedm
title: Occurrence Download

description: A dataset containing 315 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gibellula aranearum P.Syd."
 ]
}

 The dataset includes 315 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011727-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewzaux
title: Occurrence Download

description: A dataset containing 31540 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Trichoptera)"
 ]
}

 The dataset includes 31540 records from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011726-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/4997955
title: GujaratiMovieReviews
DOI: 10.15468/dl.7mfn2y
title: Occurrence Download

description: A dataset containing 33206 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diapensiaceae"
 ]
}

 The dataset includes 33206 records from 371 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011725-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfjhfa
title: Occurrence Download

description: A dataset containing 12131959 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Ecuador"
 ]
}

 The dataset includes 12131959 records from 2259 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011708-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/trsd-u4uj
title: Measurement of Particle_number_concentration at Mauna Loa

description: Measurement of Particle_number_concentration at Mauna Loa
DOI: 10.48597/txzr-d56d
title: Measurement of Aerosol_light_scattering_coefficient at Mauna Loa

description: Measurement of Aerosol_light_scattering_coefficient at Mauna Loa
DOI: 10.48597/u9qb-fzu7
title: Measurement of Aerosol_light_scattering_coefficient at Mauna Loa

description: Measurement of Aerosol_light_scattering_coefficient at Mauna Loa
DOI: 10.48597/uhgq-5q84
title: Measurement of Potassium at Amberd

description: Measurement of Potassium at Amberd
DOI: 10.48597/uxqu-a9h3
title: Measurement of Sulphate_total at Amberd

description: Measurement of Sulphate_total at Amberd
DOI: 10.48597/vgvr-q79k
title: Measurement of Sodium at Amberd

description: Measurement of Sodium at Amberd
DOI: 10.48597/vnpz-2arr
title: Measurement of Methane at Zeppelin mountain (Ny-Ålesund)

description: Measurement of Methane at Zeppelin mountain (Ny-Ålesund)
DOI: 10.48597/vtpk-5q7s
title: Measurement of Aerosol_light_scattering_coefficient at Mauna Loa

description: Measurement of Aerosol_light_scattering_coefficient at Mauna Loa
DOI: 10.48597/w4ee-2z2j
title: Measurement of Sulphate_total at Zabljak

description: Measurement of Sulphate_total at Zabljak
DOI: 10.48597/w4j4-qdbu
title: Measurement of Chloride at Amberd

description: Measurement of Chloride at Amberd
DOI: 10.48597/wcbe-sh5m
title: Measurement of Aerosol_absorption_coefficient at Melpitz

description: Measurement of Aerosol_absorption_coefficient at Melpitz
DOI: 10.48597/wmq6-j9nh
title: Measurement of Ammonium at Zabljak

description: Measurement of Ammonium at Zabljak
DOI: 10.48597/wnv8-npj8
title: Measurement of Particle_number_concentration at Barrow

description: Measurement of Particle_number_concentration at Barrow
DOI: 10.48597/wqe9-j3k6
title: Measurement of Aerosol_absorption_coefficient at Barrow

description: Measurement of Aerosol_absorption_coefficient at Barrow
DOI: 10.48597/x8pj-aynd
title: Measurement of Particle_number_concentration at Steamboat Springs, Colorado (Storm Peak Laboratory)

description: Measurement of Particle_number_concentration at Steamboat Springs, Colorado (Storm Peak Laboratory)
DOI: 10.48597/xbqc-vsk3
title: Measurement of Sulphur_dioxide at Lazaropole

description: Measurement of Sulphur_dioxide at Lazaropole
DOI: 10.48597/xf8r-bkn3
title: Measurement of Particle_number_concentration at Mauna Loa

description: Measurement of Particle_number_concentration at Mauna Loa
DOI: 10.48597/yw8d-y5de
title: Measurement of Chloride at Zabljak

description: Measurement of Chloride at Zabljak
DOI: 10.48597/zedq-3wy5
title: Measurement of Precipitation_amount at Zabljak

description: Measurement of Precipitation_amount at Zabljak
DOI: 10.48597/zfjv-r4pu
title: Measurement of Nitrate at Amberd

description: Measurement of Nitrate at Amberd
DOI: 10.48597/2avg-69ha
title: Measurement of Aerosol_light_scattering_coefficient at South Pole

description: Measurement of Aerosol_light_scattering_coefficient at South Pole
DOI: 10.48597/2ne7-c72j
title: Measurement of Aerosol light scattering at South Pole

description: Measurement of Aerosol light scattering at South Pole
DOI: 10.48597/2nkp-d7gn
title: Measurement of Op_DDT at Alert

description: Measurement of Op_DDT at Alert
DOI: 10.48597/34cj-vzjd
title: Measurement of Trichloroveratrole at Alert

description: Measurement of Trichloroveratrole at Alert
DOI: 10.48597/3bwt-edxg
title: Measurement of Octachlorostyrene at Alert

description: Measurement of Octachlorostyrene at Alert
DOI: 10.48597/3tfg-qqng
title: Measurement of Inorganics in precipitation at Pinega

description: Measurement of Inorganics in precipitation at Pinega
DOI: 10.48597/44mk-4r3r
title: Measurement of Heptachlorepoxide at Alert

description: Measurement of Heptachlorepoxide at Alert
DOI: 10.48597/47fs-whvd
title: Measurement of Ammonium at Amberd

description: Measurement of Ammonium at Amberd
DOI: 10.48597/4ff9-rhf2
title: Measurement of Photomirex at Alert

description: Measurement of Photomirex at Alert
DOI: 10.48597/4rgm-utp7
title: Measurement of 1-2-4-5-tetrachlorobenzene at Alert

description: Measurement of 1-2-4-5-tetrachlorobenzene at Alert
DOI: 10.48597/4vj3-9b4d
title: Measurement of Op_DDE at Alert

description: Measurement of Op_DDE at Alert
DOI: 10.48597/4zvk-mxtj
title: Measurement of Trichloroveratrole at Alert

description: Measurement of Trichloroveratrole at Alert
DOI: 10.48597/5fqe-58gc
title: Measurement of Tetrachloroveratrole at Alert

description: Measurement of Tetrachloroveratrole at Alert
DOI: 10.48597/5n7n-vfqr
title: Measurement of Inorganics in precipitation at Lesnoy

description: Measurement of Inorganics in precipitation at Lesnoy
DOI: 10.48597/5pyg-uzjk
title: Measurement of Tetrachloroveratrole at Alert

description: Measurement of Tetrachloroveratrole at Alert
DOI: 10.48597/5y62-5f2e
title: Measurement of Alpha_endosulfan at Alert

description: Measurement of Alpha_endosulfan at Alert
DOI: 10.48597/62cr-eq44
title: Measurement of Alpha_HCH at Alert

description: Measurement of Alpha_HCH at Alert
DOI: 10.48597/6h6b-zuba
title: Measurement of Op_DDE at Alert

description: Measurement of Op_DDE at Alert
DOI: 10.48597/6t2r-3rf7
title: Measurement of Chloride at Amberd

description: Measurement of Chloride at Amberd
DOI: 10.48597/789t-jk4j
title: Measurement of Pp_DDT at Alert

description: Measurement of Pp_DDT at Alert
DOI: 10.48597/7g9v-sr9d
title: Measurement of Inorganics in precipitation at Danki

description: Measurement of Inorganics in precipitation at Danki
DOI: 10.48597/7nva-zq2n
title: Measurement of Trans_NO at Alert

description: Measurement of Trans_NO at Alert
DOI: 10.48597/7v7q-uks4
title: Measurement of Dieldrin at Alert

description: Measurement of Dieldrin at Alert
DOI: 10.48597/7ymh-5hh3
title: Measurement of Cis_NO at Alert

description: Measurement of Cis_NO at Alert
DOI: 10.48597/84x7-3esr
title: Measurement of Pp_DDE at Alert

description: Measurement of Pp_DDE at Alert
DOI: 10.48597/8s8h-jjae
title: Measurement of Mirex at Alert

description: Measurement of Mirex at Alert
DOI: 10.48597/9aab-qefe
title: Measurement of Cis_NO at Alert

description: Measurement of Cis_NO at Alert
DOI: 10.48597/9uvd-wzam
title: Measurement of Pp_DDT at Alert

description: Measurement of Pp_DDT at Alert
DOI: 10.48597/a65q-73rs
title: Measurement of Cis_NO at Alert

description: Measurement of Cis_NO at Alert
DOI: 10.48597/bx89-msbz
title: Measurement of Octachlorostyrene at Alert

description: Measurement of Octachlorostyrene at Alert
DOI: 10.48597/cbmt-je92
title: Measurement of Pentachloroanisole at Alert

description: Measurement of Pentachloroanisole at Alert
DOI: 10.48597/ccwm-nm6e
title: Measurement of Inorganics in precipitation at Pinega

description: Measurement of Inorganics in precipitation at Pinega
DOI: 10.48597/cxuu-ryha
title: Measurement of Oxychlordane at Alert

description: Measurement of Oxychlordane at Alert
DOI: 10.48597/cy4k-7ems
title: Measurement of Pentachlorobenzene at Alert

description: Measurement of Pentachlorobenzene at Alert
DOI: 10.48597/dapt-pa9s
title: Measurement of Chloride at Amberd

description: Measurement of Chloride at Amberd
DOI: 10.48597/dg85-8x47
title: Measurement of Photomirex at Alert

description: Measurement of Photomirex at Alert
DOI: 10.48597/dv9j-9yvj
title: Measurement of Inorganics in precipitation at Janiskoski

description: Measurement of Inorganics in precipitation at Janiskoski