cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/12c-srs-9bf
title: Nummulitidae Blainville, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/slc-s5h-ntf
title: Nummulitidae Blainville, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.vc4c5q
title: Occurrence Download

description: A dataset containing 614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tritia neritea",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 614 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018266-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/005-64d-bje
title: Heteroschismoides Ludbrook, 1960

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vrb-lhl-by5
title: Nummulitidae Blainville, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/16n-5a6-bzg
title: †Lepidocyclina (Nephrolepidina) isolepidinoides van der Vlerk, 1929

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v43-t1t-t43
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8w0-vxv-bnq
title: †Nummulites javanus Verbeek, 1891

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9h3-am0-5kb
title: †Lepidorbitoides socialis (Leymerie, 1851)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xxh-vf0-752
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.9uapun
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tritia neritea",
 "Country is Spain",
 "HasCoordinate is true"
 ]
}

 The dataset includes 132 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018267-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/3v7-kl2-5gf
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/csj-qsh-dgj
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6je-2ka-xn7
title: †Spiroclypeus Douvillé, 1905

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vzl-8vx-sws
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6r5-3k1-d57
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b3e-9j3-rg0
title: †Globigerinelloides eaglefordensis (Moreman, 1927)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.ukhs8g
title: Occurrence Download

description: A dataset containing 357051 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fourth Finnish Bird Atlas 2022–2025, observations from FinBIF Notebook"
 ]
}

 The dataset includes 357051 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018248-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/5fj-9mx-ssd
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yx9-zkh-ann
title: Dentalina Risso, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8je-kqv-kxc
title: Neoeponides Reiss, 1960

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/azg-tvv-q09
title: Lithothamnion Heydrich, 1897

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1t4-cwa-t1n
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s3h-pl5-w30
title: †Hypergonia J. Donald, 1892

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5sk-eqr-1r8
title: Bathysiphon Sars, 1872

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pv8-01e-pn8
title: Nodosaria Lamarck, 1816

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8lq-351-28a
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.fm55mb
title: Occurrence Download

description: A dataset containing 810 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mastacembelus frenatus"
 ]
}

 The dataset includes 810 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018186-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.am7yrn
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "DatasetKey is one of (Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (Plantas vasculares), Digitalización y sistematización de las colecciones biológicas del INECOL (Herbario), Digitalización y sistematización de las colecciones biológicas del INECOL (Herbario))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tithonia diversifolia",
 "Year 1849-2025"
 ]
}

 The dataset includes 217 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018187-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vtcs84
title: Occurrence Download

description: A dataset containing 4594 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Festuca symei, Festuca tenuifolia, Festuca tenuifolia arenaria, Festuca tenuifolia frisia, Festuca tenuifolia glabrispicula, Festuca tenuifolia mucronata, Festuca tenuifolia mutica, Festuca tenuifolia paludosa, Festuca gautieri, Festuca abundans)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 4594 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018188-250711103210423/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.24356626
title: OpenCitations Index CSV dataset of all the citation data

description: This dataset contains all the citation data (in CSV format) included in the OpenCitation Index (https://opencitations.net/index), released on July 10, 2025. In particular, each line of the CSV file defines a citation, and includes the following information:<b>[field "oci"]</b> the Open Citation Identifier (OCI) for the citation;<b>[field "citing"]</b> the OMID of the citing entity;<b>[field "cited"]</b> the OMID of the cited entity;<b>[field "creation"]</b> the creation date of the citation (i.e. the publication date of the citing entity);<b>[field "timespan"]</b> the time span of the citation (i.e. the interval between the publication date of the cited entity and the publication date of the citing entity);<b>[field "journal_sc"]</b> it records whether the citation is a journal self-citations (i.e. the citing and the cited entities are published in the same journal);<b>[field "author_sc"]</b> it records whether the citation is an author self-citation (i.e. the citing and the cited entities have at least one author in common).<b>Note:</b> the information for each citation is sourced from OpenCitations Meta (https://opencitations.net/meta), a database that stores and delivers bibliographic metadata for all bibliographic resources included in the OpenCitations Index. The data provided in this dump is therefore based on the state of OpenCitations Meta at the time this collection was generated.This version of the dataset contains:2,216,426,689 citationsThe size of the zipped archive is 38.8 GB, while the size of the unzipped CSV file is 242 GB.
DOI: 10.6084/m9.figshare.24356626.v5
title: OpenCitations Index CSV dataset of all the citation data

description: This dataset contains all the citation data (in CSV format) included in the OpenCitation Index (https://opencitations.net/index), released on July 10, 2025. In particular, each line of the CSV file defines a citation, and includes the following information:<b>[field "oci"]</b> the Open Citation Identifier (OCI) for the citation;<b>[field "citing"]</b> the OMID of the citing entity;<b>[field "cited"]</b> the OMID of the cited entity;<b>[field "creation"]</b> the creation date of the citation (i.e. the publication date of the citing entity);<b>[field "timespan"]</b> the time span of the citation (i.e. the interval between the publication date of the cited entity and the publication date of the citing entity);<b>[field "journal_sc"]</b> it records whether the citation is a journal self-citations (i.e. the citing and the cited entities are published in the same journal);<b>[field "author_sc"]</b> it records whether the citation is an author self-citation (i.e. the citing and the cited entities have at least one author in common).<b>Note:</b> the information for each citation is sourced from OpenCitations Meta (https://opencitations.net/meta), a database that stores and delivers bibliographic metadata for all bibliographic resources included in the OpenCitations Index. The data provided in this dump is therefore based on the state of OpenCitations Meta at the time this collection was generated.This version of the dataset contains:2,216,426,689 citationsThe size of the zipped archive is 38.8 GB, while the size of the unzipped CSV file is 242 GB.
DOI: 10.6084/m9.figshare.24356626.v6
title: OpenCitations Index CSV dataset of all the citation data

description: This dataset contains all the citation data (in CSV format) included in the OpenCitation Index (https://opencitations.net/index), released on July 10, 2025. In particular, each line of the CSV file defines a citation, and includes the following information:<b>[field "oci"]</b> the Open Citation Identifier (OCI) for the citation;<b>[field "citing"]</b> the OMID of the citing entity;<b>[field "cited"]</b> the OMID of the cited entity;<b>[field "creation"]</b> the creation date of the citation (i.e. the publication date of the citing entity);<b>[field "timespan"]</b> the time span of the citation (i.e. the interval between the publication date of the cited entity and the publication date of the citing entity);<b>[field "journal_sc"]</b> it records whether the citation is a journal self-citations (i.e. the citing and the cited entities are published in the same journal);<b>[field "author_sc"]</b> it records whether the citation is an author self-citation (i.e. the citing and the cited entities have at least one author in common).<b>Note:</b> the information for each citation is sourced from OpenCitations Meta (https://opencitations.net/meta), a database that stores and delivers bibliographic metadata for all bibliographic resources included in the OpenCitations Index. The data provided in this dump is therefore based on the state of OpenCitations Meta at the time this collection was generated.This version of the dataset contains:2,216,426,689 citationsThe size of the zipped archive is 38.8 GB, while the size of the unzipped CSV file is 242 GB.
DOI: 10.15468/dl.jyekc3
title: Occurrence Download

description: A dataset containing 310316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((28.09896 -25.12746,28.575 -25.12746,28.575 -24.77412,28.09896 -24.77412,28.09896 -25.12746))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 310316 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018140-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15924702
title: Modelo digital do Terreno (DTM) da área de restauração do Cifloma UFPR

description: Condições de Uso do Material

Licença: Creative Commons Atribuição-NãoComercial 4.0 Internacional (CC BY-NC 4.0)

Este material está licenciado sob os termos da Creative Commons CC BY-NC 4.0.

Este material está disponível exclusivamente para fins educacionais, científicos e não comerciais. Seu uso é permitido desde que seja feita a devida citação da fonte original, conforme a referência indicada abaixo. Qualquer reprodução, adaptação, redistribuição ou utilização dos dados deve respeitar os princípios de uso ético e responsável da informação.

Ao utilizar este material, o(a) usuário(a) concorda em:





Citar corretamente a autora e o respectivo DOI em qualquer publicação, apresentação ou produto derivado;




Não utilizar os dados para fins comerciais, publicitários ou que envolvam monetização direta sem autorização prévia por escrito;




Preservar a integridade dos dados, não realizando alterações que possam comprometer sua precisão ou finalidade original sem a devida contextualização.



Como citar:

Dalla Corte, Ana Paula. Modelo digital do Terreno (DTM) da área de restauração do Cifloma UFPR. Curitiba, julho de 2025. DOI: 10.5281/zenodo.15924703

 

Detalhes técnicos poderão ser obtidos diretamente com o autor em: anapaulacorte@gmail.com

 

Terms of Use

License: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

This material is licensed under the Creative Commons CC BY-NC 4.0 terms.It may be used, shared, adapted, and redistributed for educational, academic, or scientific purposes, non-commercially, provided that proper credit is given and the use does not involve commercial gain.

By using this material, you must:





Give appropriate credit to the author, including full name, title, date, and DOI as shown below;




Indicate if changes were made to the material;




Not use the material for commercial purposes without explicit permission;




Preserve data integrity and context whenever possible.



How to cite:

Dalla Corte, Ana Paula. Digital Terrain Model (DTM) of the Cifloma UFPR Restoration Area. Curitiba, July 2025. DOI: 10.5281/zenodo.15924703
DOI: 10.5281/zenodo.15924703
title: Modelo digital do Terreno (DTM) da área de restauração do Cifloma UFPR

description: Condições de Uso do Material

Licença: Creative Commons Atribuição-NãoComercial 4.0 Internacional (CC BY-NC 4.0)

Este material está licenciado sob os termos da Creative Commons CC BY-NC 4.0.

Este material está disponível exclusivamente para fins educacionais, científicos e não comerciais. Seu uso é permitido desde que seja feita a devida citação da fonte original, conforme a referência indicada abaixo. Qualquer reprodução, adaptação, redistribuição ou utilização dos dados deve respeitar os princípios de uso ético e responsável da informação.

Ao utilizar este material, o(a) usuário(a) concorda em:





Citar corretamente a autora e o respectivo DOI em qualquer publicação, apresentação ou produto derivado;




Não utilizar os dados para fins comerciais, publicitários ou que envolvam monetização direta sem autorização prévia por escrito;




Preservar a integridade dos dados, não realizando alterações que possam comprometer sua precisão ou finalidade original sem a devida contextualização.



Como citar:

Dalla Corte, Ana Paula. Modelo digital do Terreno (DTM) da área de restauração do Cifloma UFPR. Curitiba, julho de 2025. DOI: 10.5281/zenodo.15924703

 

Detalhes técnicos poderão ser obtidos diretamente com o autor em: anapaulacorte@gmail.com

 

Terms of Use

License: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

This material is licensed under the Creative Commons CC BY-NC 4.0 terms.It may be used, shared, adapted, and redistributed for educational, academic, or scientific purposes, non-commercially, provided that proper credit is given and the use does not involve commercial gain.

By using this material, you must:





Give appropriate credit to the author, including full name, title, date, and DOI as shown below;




Indicate if changes were made to the material;




Not use the material for commercial purposes without explicit permission;




Preserve data integrity and context whenever possible.



How to cite:

Dalla Corte, Ana Paula. Digital Terrain Model (DTM) of the Cifloma UFPR Restoration Area. Curitiba, July 2025. DOI: 10.5281/zenodo.15924703
DOI: 10.15468/dl.hr9xp4
title: Occurrence Download

description: A dataset containing 476 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Muricaria prostrata"
 ]
}

 The dataset includes 476 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018189-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pu55bq
title: Occurrence Download

description: A dataset containing 858 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cardiocondyla nuda"
 ]
}

 The dataset includes 858 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018190-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4cptz
title: Occurrence Download

description: A dataset containing 45998 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Khaya senegalensis, Kopsia arborea, Kopsia fruticosa, Lablab purpureus, Lactuca sativa, Lagenaria siceraria, Lagerstroemia floribunda, Lagerstroemia indica, Lagerstroemia speciosa, Lantana montevidensis)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 45998 records from 827 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018191-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xj8b22
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Geometry POLYGON((-53.84407 -14.97872,-53.36516 -14.97872,-53.36516 -14.61079,-53.84407 -14.61079,-53.84407 -14.97872))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 125 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018195-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ndn7qw
title: Occurrence Download

description: A dataset containing 1814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Canoparmelia texana)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1814 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018193-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9xe8zt
title: Occurrence Download

description: A dataset containing 128447 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Desmognathus)"
 ]
}

 The dataset includes 128447 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018176-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bffwg5
title: Occurrence Download

description: A dataset listing the 679 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Betula"
 ]
}

 The dataset's 679 records were derived from 3598 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018174-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15459740
title: Data Repository for the Article "Non-reciprocal Scattering in a Microwave Frequency Comb"

description: We investigate non-reciprocal scattering within the modes of a microwave frequency comb. Adjusting the pump frequencies, amplitudes, and phases of a Josephson parametric oscillator, we control constructive interference for the m -> l  scattering processes, while concurrently achieving destructive interference for the inverse process l -> m. We outline the methodology for realizing non-reciprocity in the context of two-mode isolation and a three-mode circulation, which we extend to multiple modes. We find good agreement between the experiments and a linearized theoretical model. Nonreciprocal scattering expands the toolset for parametric control, with the potential to engineer novel quantum correlations.
DOI: 10.5281/zenodo.15459741
title: Data Repository for the Article "Non-reciprocal Scattering in a Microwave Frequency Comb"

description: We investigate non-reciprocal scattering within the modes of a microwave frequency comb. Adjusting the pump frequencies, amplitudes, and phases of a Josephson parametric oscillator, we control constructive interference for the m -> l  scattering processes, while concurrently achieving destructive interference for the inverse process l -> m. We outline the methodology for realizing non-reciprocity in the context of two-mode isolation and a three-mode circulation, which we extend to multiple modes. We find good agreement between the experiments and a linearized theoretical model. Nonreciprocal scattering expands the toolset for parametric control, with the potential to engineer novel quantum correlations.
DOI: 10.6084/m9.figshare.29643990.v4
title: Supplementary from TEX from Wild jackdaws learn to tolerate juveniles to exploit new foraging opportunities

description: This file contains supplementary material relevant to reproducibility of the field setup, analytical methods as well as supplementary analyses and model output tables for the analyses presented in the main text.
DOI: 10.5281/zenodo.12558870
title: Dataset: The Joint Corp. (JYNT) Stock Performance

description: This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.