cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.y6ncbz
title: Occurrence Download

description: A dataset containing 401 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 Nyctimystes papua (Boulenger, 1897)"
 ]
}

 The dataset includes 401 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046325-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11242500
title: Experimental auction to assess consumer perception and willingness to pay for ready-to-eat fresh salads with more sustainable packaging

description: The provided Excel sheet contains a dataset generated from an experiment conducted face-to-face with consumers of ready to eat fresh salads on December 19th and 20th, 2023, using a questionnaire. It was an auction aimed at understanding consumers' preferences and willingness to pay for 100% recyclable and 100% biodegradable packaging.

Each column in the table represents a particular variable, and each row corresponds to a specific record in the dataset. The dataset comprises 70 columns and 306 rows, where the first row contains the variable names and the second row describes the meaning or question associated with each variable.To enhance readability, each variable is color-coded differently. This means that as you move from one color to another, you are transitioning from one variable to the next.Most variables are derived from validated scales, such as General Shopping Behavior, General Personal Values and Attitudes, Environmental Consciousness Scale, Openness to Innovation Scale, NEP Scale, and Green Consumption Values. These scales are generally assessed using a Likert scale of 5 or 7 points for each statement or item included in the scale. Each statement is in a separate column, and the combined columns of statements form the respective variable, which is the scale in this context. Therefore, the total number of variables included in this dataset is 24.
DOI: 10.5281/zenodo.11346454
title: Experimental auction to assess consumer perception and willingness to pay for ready-to-eat fresh salads with more sustainable packaging

description: The provided Excel sheet contains a dataset generated from an experiment conducted face-to-face with consumers of ready to eat fresh salads on December 19th and 20th, 2023, using a questionnaire. It was an auction aimed at understanding consumers' preferences and willingness to pay for 100% recyclable and 100% biodegradable packaging.

Each column in the table represents a particular variable, and each row corresponds to a specific record in the dataset. The dataset comprises 70 columns and 306 rows, where the first row contains the variable names and the second row describes the meaning or question associated with each variable.To enhance readability, each variable is color-coded differently. This means that as you move from one color to another, you are transitioning from one variable to the next.Most variables are derived from validated scales, such as General Shopping Behavior, General Personal Values and Attitudes, Environmental Consciousness Scale, Openness to Innovation Scale, NEP Scale, and Green Consumption Values. These scales are generally assessed using a Likert scale of 5 or 7 points for each statement or item included in the scale. Each statement is in a separate column, and the combined columns of statements form the respective variable, which is the scale in this context. Therefore, the total number of variables included in this dataset is 24.
DOI: 10.15468/dl.em38fe
title: Occurrence Download

description: A dataset containing 28374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cortaderia selloana (Schult. & Schult.f.) Asch. & Graebn."
 ]
}

 The dataset includes 28374 records from 592 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035311-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gp52m2
title: Occurrence Download

description: A dataset containing 7692 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 Euphonia mesochrysa Salvadori, 1873"
 ]
}

 The dataset includes 7692 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053871-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oldfgl
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myotis planiceps Baker, 1955"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009954-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thj4yz
title: Occurrence Download

description: A dataset containing 791 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dryopteris peranema Li Bing Zhang"
 ]
}

 The dataset includes 791 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035395-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jgvpnd
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Benstonea ihuana (Martelli) Callm. & Buerki"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053792-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fv8k2k
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caracanthus Krøyer, 1845",
 "Country is India"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009954-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.za8sse
title: Occurrence Download

description: A dataset containing 116 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 Ducula melanochroa (P.L.Sclater, 1878)"
 ]
}

 The dataset includes 116 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035392-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3txatv
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalaria natalensis Baker f."
 ]
}

 The dataset includes 75 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012684-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gfxqzh
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Salix fragilis L."
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009535-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.93qn2f
title: Occurrence Download

description: A dataset containing 3479 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 Turdus fulviventris P.L.Sclater, 1858"
 ]
}

 The dataset includes 3479 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035391-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6p7yk
title: Occurrence Download

description: A dataset listing the 94284 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "DatasetKey is one of (NABU|naturgucker, Flora von Deutschland (Phanerogamen), VegetWeb - Repositorium von Vegetationsaufnahmen, Insekten Sachsen, iNaturalist Research-grade Observations, Harmonised freshwater fish occurrence and abundance data for 12 federal states in Germany, Observation.org, Nature data from around the World, EOD – eBird Observation Dataset, The Spider Collection at the Staatliches Museum für Naturkunde Karlsruhe, Neuropteren Deutschlands (Neuropterida of Germany), ArtenFinder, Occurrence Data of Vascular Plants collected or compiled for the Flora of Bavaria, Floristic records from survey studies of the Bayerisches Landesamt für Umwelt, Historical Vertebrate Distributions in Bavaria 1845, Biodiversity data of gravel pit lakes in Northern Germany)",
 "PublishingOrg is one of (57254bd0-8256-11d8-b7ed-b8a03c50a862, 0674aea0-a7e1-11d8-9534-b8a03c50a862, 10980920-6dad-11da-ad13-b8a03c50a862, 99ea0c90-61e5-11dc-a64c-b8a03c50a862, 463555b0-d081-11da-ae8f-b8a03c50a862, 6e1cad80-bdf5-11d8-84ea-b8a03c50a862, c76cf030-2a95-11da-9cc1-b8a03c50a862, 48490260-8fc0-11dd-be72-b8a03c50a862, 98dbab03-09e5-4ceb-988e-04f3e803decb)",
 "NetworkKey is one of (d1627240-04ab-4162-aee9-b16df6bc8308, 3aee7756-565e-4dc5-b22c-f997fbd7105c)"
 ]
 },
 "Country is Germany",
 {
 "not" : {
 "HasGeospatialIssue" : [
 "is true"
 ]
 }
 }
 ]
}

 The dataset's 94284 records were derived from 471 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021824-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4zemsg
title: Occurrence Download

description: A dataset containing 58895 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Canada",
 "TaxonKey is Sialia currucoides (Bechstein, 1798)",
 "Year 2000-2025"
 ]
}

 The dataset includes 58895 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021831-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11798493
title: SLR result_Final Stage Papers
DOI: 10.5281/zenodo.14816466
title: SLR result_Final Stage Papers
DOI: 10.5281/zenodo.14841665
title: SLR result_Final Stage Papers
DOI: 10.5281/zenodo.14841644
title: Precise Mycobacterial Species and Subspecies Identification Using the PEP-TORCH Peptidome Algorithm

description: Mycobacterial infections pose a significant global health concern, requiring precise identification for effective treatment. However, diagnosing them is challenging due to inaccurate identifications and prolonged times. In this study, we aimed to develop a novel peptidome-based method using mycobacterial growth indicator tube (MGIT) cultures for faster and more accurate identification. We created the PEPtide Taxonomy/Organism CHecking (PEP-TORCH), an algorithm that analyzes tryptic-peptide identified by mass spectrometry to diagnose species and subspecies with predominance scores. PEP-TORCH demonstrated 100% accuracy in identifying mycobacterial species, subspecies, and co-infections in 81 individuals suspected of mycobacterial infections, eliminating the need for a sub-solid culture procedure, the gold standard in clinical practice. A notable strength of PEP-TORCH is its ability to provide information on species and subspecies simultaneously, a process conventionally achieved sequentially. This capability significantly expedites pathogen identification. Furthermore, a targeted proteomics method was validated in 63 clinical samples using the taxa-specific peptides selected by PEP-TORCH, making them suitable as biomarkers in more clinically friendly settings. This comprehensive identification approach holds promise for streamlining treatment strategies in clinical practice.
DOI: 10.5281/zenodo.14841645
title: Precise Mycobacterial Species and Subspecies Identification Using the PEP-TORCH Peptidome Algorithm

description: Mycobacterial infections pose a significant global health concern, requiring precise identification for effective treatment. However, diagnosing them is challenging due to inaccurate identifications and prolonged times. In this study, we aimed to develop a novel peptidome-based method using mycobacterial growth indicator tube (MGIT) cultures for faster and more accurate identification. We created the PEPtide Taxonomy/Organism CHecking (PEP-TORCH), an algorithm that analyzes tryptic-peptide identified by mass spectrometry to diagnose species and subspecies with predominance scores. PEP-TORCH demonstrated 100% accuracy in identifying mycobacterial species, subspecies, and co-infections in 81 individuals suspected of mycobacterial infections, eliminating the need for a sub-solid culture procedure, the gold standard in clinical practice. A notable strength of PEP-TORCH is its ability to provide information on species and subspecies simultaneously, a process conventionally achieved sequentially. This capability significantly expedites pathogen identification. Furthermore, a targeted proteomics method was validated in 63 clinical samples using the taxa-specific peptides selected by PEP-TORCH, making them suitable as biomarkers in more clinically friendly settings. This comprehensive identification approach holds promise for streamlining treatment strategies in clinical practice.
DOI: 10.15468/dl.7c99cx
title: Occurrence Download

description: A dataset listing the 72 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 {
 "or" : [
 "DatasetKey is one of (NABU|naturgucker, Flora von Deutschland (Phanerogamen), VegetWeb - Repositorium von Vegetationsaufnahmen, Insekten Sachsen, iNaturalist Research-grade Observations, Harmonised freshwater fish occurrence and abundance data for 12 federal states in Germany, Observation.org, Nature data from around the World, EOD – eBird Observation Dataset, The Spider Collection at the Staatliches Museum für Naturkunde Karlsruhe, Neuropteren Deutschlands (Neuropterida of Germany), ArtenFinder, Occurrence Data of Vascular Plants collected or compiled for the Flora of Bavaria, Floristic records from survey studies of the Bayerisches Landesamt für Umwelt, Historical Vertebrate Distributions in Bavaria 1845, Biodiversity data of gravel pit lakes in Northern Germany)",
 "PublishingOrg is one of (57254bd0-8256-11d8-b7ed-b8a03c50a862, 0674aea0-a7e1-11d8-9534-b8a03c50a862, 10980920-6dad-11da-ad13-b8a03c50a862, 99ea0c90-61e5-11dc-a64c-b8a03c50a862, 463555b0-d081-11da-ae8f-b8a03c50a862, 6e1cad80-bdf5-11d8-84ea-b8a03c50a862, c76cf030-2a95-11da-9cc1-b8a03c50a862, 48490260-8fc0-11dd-be72-b8a03c50a862, 98dbab03-09e5-4ceb-988e-04f3e803decb)",
 "NetworkKey is one of (d1627240-04ab-4162-aee9-b16df6bc8308, 3aee7756-565e-4dc5-b22c-f997fbd7105c)"
 ]
 },
 "Country is Germany",
 {
 "not" : {
 "HasGeospatialIssue" : [
 "is true"
 ]
 }
 }
 ]
 },
 "DatasetKey is one of (Harmonised freshwater fish occurrence and abundance data for 12 federal states in Germany)"
 ]
}

 The dataset's 72 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021827-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pja4qx
title: Occurrence Download

description: A dataset containing 1096 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bos indicus Linnaeus, 1758"
 ]
}

 The dataset includes 1096 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021832-250127130748423/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/10706789
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.15468/dl.u5xakd
title: Occurrence Download

description: A dataset containing 3607 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Australia, Norway)",
 "TaxonKey is Orcinus orca (Linnaeus, 1758)"
 ]
}

 The dataset includes 3607 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021834-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ba8t9x
title: Occurrence Download

description: A dataset containing 120906 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alces alces (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 120906 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021829-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4pnegy
title: Occurrence Download

description: A dataset containing 120906 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alces alces (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 120906 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021826-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u97f5s
title: Occurrence Download

description: A dataset containing 40206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Canada",
 "TaxonKey is Aquila chrysaetos (Linnaeus, 1758)",
 "Year 2000-2025"
 ]
}

 The dataset includes 40206 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021836-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hwsyk6
title: Occurrence Download

description: A dataset containing 182247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Canada",
 "TaxonKey is Selasphorus rufus (J.F.Gmelin, 1788)",
 "Year 2000-2025"
 ]
}

 The dataset includes 182247 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021835-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxftdb
title: Occurrence Download

description: A dataset containing 120906 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alces alces (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 120906 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021830-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/dyxr-0321
title: DIoSC: Time series Energy Dataset

description: We introduce a dataset comprised of energy consumption data from smart meters in French households, capturing detailed, disaggregated time series for various home appliances. This dataset covers a six-month period with a one-minute sampling rate across five different households. The objective of this dataset is to support the development of models that learn disentangled representations of time series energy data, which can significantly enhance model generalization across both in-distribution and out-of-distribution scenarios. Our approach to disentangled representation learning does not assume independence among attributes, a common assumption that can lead to non-identifiability in real-world applications. Instead, we address the inherent correlations among time series attributes by employing contrastive learning and a singular autoencoder to establish a smooth bijection. This methodology, which we have named Disentanglement under Independence-Of-Support via Contrastive Learning (DIOSC), leverages l-variational inference layers with self-attention mechanisms. These layers are specifically designed to handle the complex temporal dependencies found in bottom-up and top-down network structures, enhancing the interpretability and fairness of the resulting models. Our findings indicate that DIOSC effectively improves the representation of time series electricity consumption, offering promising avenues for further research and practical applications in energy management.
DOI: 10.6084/m9.figshare.27297111
title: Livro de codigos

description: Livro de códigos
DOI: 10.6084/m9.figshare.27297111.v1
title: Livro de codigos

description: Livro de códigos
DOI: 10.15468/dl.7qg89z
title: Occurrence Download

description: A dataset containing 401955 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Coleoptera"
 ]
}

 The dataset includes 401955 records from 563 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021833-250127130748423/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.28742096
title: 3D meshes of territories, Phylloscopus trochilus, Kola Penninsula, Russia

description: The dataset summarise 5 seasons of tracking of Willow warbles of Kola Penninsula. Every point has 3D coordinates (metric system, optimized for R), year and personal name of the bird. All birds had personal combination of coloured rings on the legs.
DOI: 10.15468/dl.28hd9u
title: Occurrence Download

description: A dataset containing 9474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ESP.13_1",
 "TaxonKey is one of (Halictidae, Melittidae, Colletidae, Andrenidae, Apidae, Megachilidae)"
 ]
}

 The dataset includes 9474 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008627-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.