cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30629450.v1
title: Dataset and R codes for: Global convergence and fine-scale shifts in plant–bee network structure across the honeybee’s native and non-native rangesLeandro Hachuy-Filho, Caio S. Ballarin, João Vitor de Alcantara Viana, Pedro A. Lacerda-Barbosa, Felipe W. Amorim

description: Pollinator communities are increasingly influenced by human-mediated species introductions, yet the global impacts of invasive pollinators on network structure remain poorly understood. We performed a systematic review that compiled 80 quantitative plant–bee interaction networks encompassing the native and non-native ranges of the western honeybee (<i>Apis mellifera</i>) and analyzed network organization at three hierarchical levels: the overall network architecture (macro-scale), participation in motif classes (meso-scale), and species’ structural roles (micro-scale). Macro-scale metrics (including connectance, nestedness, modularity, and robustness) did not differ between ranges, indicating broad structural similarity across the species’ global distribution. However, finer-scale analyses revealed significant range-dependent shifts. In non-native regions, <i>A. mellifera</i> exhibited a lower within-module degree, suggesting reduced integration within network compartments, and participated more frequently in fan motifs but less in core–peripheral motifs, implying altered dominance and resource-use patterns. These findings show that <i>A. mellifera</i> maintains a largely conserved structural role worldwide, but that subtle shifts in local connectivity and sub-structural organization occur outside its native range. Overall, our results reveal that while invasive generalists can promote structural convergence in mutualistic networks at macro scales, cross-scale analyses uncover hidden variations that may influence the long-term stability and resilience of pollination systems under global change.
DOI: 10.15468/dl.txx62c
title: Occurrence Download

description: A dataset containing 2544213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nymphaea, Aristolochia elegans, Merremia peltata, Cyperus, Limnoperna securis, Amaranthaceae, Neomarica caerulea, Phaius tancarvilleae, Eichhornia azurea, Eichhornia paniculata, Bambusa longispiculata, Paspalum lineare, Pennisetum polystachion, Cordia obliqua, Cleome gynandra, Hylocereus undatus, Nopalea cochenillifera, Ardisia javanica, Acacia suma, Caesalpinia bonduc)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 2544213 records from 3722 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036920-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f7benk
title: Occurrence Download

description: A dataset containing 1186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Olneya tesota A.Gray"
 ]
}

 The dataset includes 1186 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008151-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e231385
title: Replication data for: Self-Fulfilling Debt Crises: A Quantitative Analysis

description: This paper investigates the role of self-fulfilling expectations in sovereign bond markets. We consider a model of sovereign borrowing featuring endogenous debt maturity, risk-averse lenders, and self-fulfilling crises à la Cole and Kehoe (2000). In this environment, interest rate spreads are driven by both fundamental and nonfundamental risk. These two sources of risk have contrasting implications for the maturity structure of debt chosen by the government. Therefore, they can be indirectly inferred by tracking the evolution of debt maturity. We fit the model to Italian data and find that nonfundamental risk played a limited role during the 2008–2012 crisis.
DOI: 10.3886/e231385v1
title: Replication data for: Self-Fulfilling Debt Crises: A Quantitative Analysis

description: This paper investigates the role of self-fulfilling expectations in sovereign bond markets. We consider a model of sovereign borrowing featuring endogenous debt maturity, risk-averse lenders, and self-fulfilling crises à la Cole and Kehoe (2000). In this environment, interest rate spreads are driven by both fundamental and nonfundamental risk. These two sources of risk have contrasting implications for the maturity structure of debt chosen by the government. Therefore, they can be indirectly inferred by tracking the evolution of debt maturity. We fit the model to Italian data and find that nonfundamental risk played a limited role during the 2008–2012 crisis.
DOI: 10.3535/cxd-3lv-t6n
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l2m-xcs-exf
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3nm-72t-cl1
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ks6-jns-6ky
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.848xqz
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bidens pilosa",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 45 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023573-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/3ya-wem-a01
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4gk-nea-mc0
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/aby-jgr-fje
title: Octineon Moseley in Fowler, 1894

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/72y-z5z-wmj
title: Sorites Ehrenberg, 1839

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cdw-jfv-v2f
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6k6-yn5-0fn
title: †Praestorrsella roestae (Visser, 1951)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5rs-vc9-n9t
title: †Echinocorys Leske, 1778

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7p2-86y-cxn
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lzm-6v1-c12
title: Epistomaroides punctulata (d'Orbigny, 1826)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nq6-kwx-wvc
title: †Hedbergella Brönnimann & Brown, 1958

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g2a-9fa-bwe
title: †Orbitoides d'Orbigny, in Lyell, 1848

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q06-ce6-fs7
title: †Orbitoides d'Orbigny, in Lyell, 1848

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5fd-1cn-qg8
title: †Dentoglobigerina binaiensis (Koch, 1935)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/123-fnt-yy0
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9ec-v86-e5r
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vg7-y9a-xed
title: Ammodiscus Reuss, 1862

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wkn-p7q-etz
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/egt-8nc-hsv
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mrn-hpf-yaw
title: †Lepidorbitoides campaniensis van Gorsel, 1973

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z6t-01p-nmr
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/58a-rlk-qxc
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ksm-zat-t2s
title: †Cyprideis (Cyprideis) Jones, 1856

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4m3-pp8-cm8
title: Bos taurus primigenius Bojanus, 1827

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w1b-vmp-s8a
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fk4-al0-f28
title: Pseudo Berge & Vader, 2001

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cv9-xz0-4j7
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m75-8aa-z9y
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/878-nwb-l1k
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8w1-czj-fx5
title: †Fusulinidae Möller, 1878

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/82p-b96-15z
title: Amphistegina radiata (Fichtel & Moll, 1798)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s67-ekd-mhg
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/12x-vsd-3ya
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kl1-d5y-dkc
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a82-08f-rnm
title: †Nummulites irregularis Deshayes, 1838

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kzd-vjk-wbt
title: †Lepidorbitoides Silvestri, 1907

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cje-dgv-v7v
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.bp3wd9
title: Occurrence Download

description: A dataset containing 3203 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trachurus japonicus"
 ]
}

 The dataset includes 3203 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032614-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ub67xm
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trachemys scripta",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 170 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032615-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n6qt4w
title: Occurrence Download

description: A dataset containing 570 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trachemys scripta",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 570 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032616-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pd52dt
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trachemys scripta",
 "Country is Bahamas",
 "HasCoordinate is true"
 ]
}

 The dataset includes 30 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032617-250811113504898/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.29968174
title: Supplementary Information for Dominance of tectonics over 'snowball Earth' glaciation in driving the 'Great Unconformity'

description: Supplementary textSupplementary Figs. S1 to S10Supplementary Tables. S1 to S5SI References
DOI: 10.6084/m9.figshare.29968174.v1
title: Supplementary Information for Dominance of tectonics over 'snowball Earth' glaciation in driving the 'Great Unconformity'

description: Supplementary textSupplementary Figs. S1 to S10Supplementary Tables. S1 to S5SI References
DOI: 10.15482/usda.adc/29452583
title: Data and Code from: Smart vision-based monitoring system for AI-driven moth population estimation using camera-equipped trap imaging

description: Real-time, image-based monitoring for stored product insect pests could increase timely treatments and protection for postharvest products throughout the supply chain. Artificial intelligence (AI) and machine learning can provide the models necessary for accurate identification and population-counting within a trap-based system. This study presents the development of a smart vision-based monitoring system for moth population estimation using sticky traps with automated camera imaging. The proposed system integrates advanced image processing techniques with a Convolutional Neural Network (CNN) to accurately detect and classify moths and non-moth insects captured on sticky traps. Sticky traps, widely employed in integrated pest management (IPM) systems, often require manual inspection, which is labor-intensive and prone to human error. To address this, the developed system automates the detection process, reducing reliance on manual counting while improving classification precision. The dataset, consisting of 1,739 high-resolution images, was divided into training and testing subsets with a 70–30% split. Each image was preprocessed and annotated with ground-truth labels for accurate performance evaluation. The model demonstrated a high overall classification accuracy of 95.8%, with precision, recall, and F1-scores consistently exceeding 90%. These results highlight the effectiveness of the CNN in managing complex scenarios such as insect overlap, varied environmental conditions, and trap orientations, offering a scalable and efficient solution for real-time insect population monitoring in storage environments. The findings suggest that the proposed system provides a reliable and automated alternative for pest management, significantly reducing labor and enhancing decision-making in storage facilities and postharvest agriculture. In addition, field validation demonstrated the system’s feasibility in real-world storage environments, offering an effective and scalable alternative to traditional inspection practices while minimizing labor and enhancing precision pest control decisions.This dataset features a subset of the images captured every hour in a sticky trap baited with a Plodia interpunctella pheromone lure. The images were processed for classificaiton of Indian meal moths and for population counting over time. A read me on image file naming convention, meta data, and conversion code for MatLab are included in the data files.This research used resources provided by the SCINet project and/or the AI Center of Excellence of the USDA Agricultural Research Service, ARS project numbers 0201-88888-003-000D and 0201-88888-002-000D.
DOI: 10.15482/usda.adc/29452583.v1
title: Data and Code from: Smart vision-based monitoring system for AI-driven moth population estimation using camera-equipped trap imaging

description: Real-time, image-based monitoring for stored product insect pests could increase timely treatments and protection for postharvest products throughout the supply chain. Artificial intelligence (AI) and machine learning can provide the models necessary for accurate identification and population-counting within a trap-based system. This study presents the development of a smart vision-based monitoring system for moth population estimation using sticky traps with automated camera imaging. The proposed system integrates advanced image processing techniques with a Convolutional Neural Network (CNN) to accurately detect and classify moths and non-moth insects captured on sticky traps. Sticky traps, widely employed in integrated pest management (IPM) systems, often require manual inspection, which is labor-intensive and prone to human error. To address this, the developed system automates the detection process, reducing reliance on manual counting while improving classification precision. The dataset, consisting of 1,739 high-resolution images, was divided into training and testing subsets with a 70–30% split. Each image was preprocessed and annotated with ground-truth labels for accurate performance evaluation. The model demonstrated a high overall classification accuracy of 95.8%, with precision, recall, and F1-scores consistently exceeding 90%. These results highlight the effectiveness of the CNN in managing complex scenarios such as insect overlap, varied environmental conditions, and trap orientations, offering a scalable and efficient solution for real-time insect population monitoring in storage environments. The findings suggest that the proposed system provides a reliable and automated alternative for pest management, significantly reducing labor and enhancing decision-making in storage facilities and postharvest agriculture. In addition, field validation demonstrated the system’s feasibility in real-world storage environments, offering an effective and scalable alternative to traditional inspection practices while minimizing labor and enhancing precision pest control decisions.This dataset features a subset of the images captured every hour in a sticky trap baited with a Plodia interpunctella pheromone lure. The images were processed for classificaiton of Indian meal moths and for population counting over time. A read me on image file naming convention, meta data, and conversion code for MatLab are included in the data files.This research used resources provided by the SCINet project and/or the AI Center of Excellence of the USDA Agricultural Research Service, ARS project numbers 0201-88888-003-000D and 0201-88888-002-000D.
DOI: 10.15468/dl.qgrqxw
title: Occurrence Download

description: A dataset containing 9677 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-53.45657 -19.64278,-52.01147 -19.64278,-52.01147 -18.58769,-53.45657 -18.58769,-53.45657 -19.64278))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9677 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032618-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34894/kxea7q
title: Publication Package 'Familiarity and Audience Effects on Giving: A Functional Magnetic Resonance Imaging Study': raw data

description: This is a publication package for the article 'Familiarity and Audience Effects on Giving: A Functional Magnetic Resonance Imaging Study', which can be found here: &lt;br&gt;&lt;a href="https://www-mitpressjournals-org.eur.idm.oclc.org/doi/abs/10.1162/jocn_a_01568"&gt;https://www-mitpressjournals-org.eur.idm.oclc.org/doi/abs/10.1162/jocn_a_01568&lt;/a&gt;&lt;br&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;This publication package contains: the raw data (except raw MRI data due to the size)&lt;/div&gt;
description: This entry is a ninety-nine-file data package totaling 22.0 MB, containing files in .sav, .edat2, .csv, .txt and .xml formats.If you use this dataset, please cite: van de Groep, Suzanne; Zanolie, Kiki; Crone, Eveline (2020). Publication Package 'Familiarity and Audience Effects on Giving: A Functional Magnetic Resonance Imaging Study': raw data. Erasmus University Rotterdam (EUR). Dataset. https://doi.org/10.25397/eur.12998930
DOI: 10.18141/2575065
title: olca-tools

description: A GitHub repository with Python modules and notebooks that utilize, demonstrate, or support work for openLCA.
DOI: 10.15468/dl.yhw4sy
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Procyon lotor"
 ]
}

 The dataset includes 42 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032620-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bv25yc
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Labeotropheus fuelleborni)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 46 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032621-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sgyppb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trachemys scripta",
 "Country is Bahrain",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032623-250811113504898/datasets/export for details.