cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/32d-hd5-zve
title: Nucella lapillus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bf7-asq-763
title: Nassarius pullus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/37y-xle-2v2
title: Nassarius graphiterus (Hombron & Jacquinot, 1848)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bwa-xtm-wx9
title: Nassarius festivus (Powys, 1835)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/054-bmh-wzv
title: Pseudopeas Putzeys, 1899

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b35-6gl-px5
title: Nassarius olivaceus (Bruguière, 1789)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gr9-vg2-mgp
title: Nassarius horridus (Dunker, 1847)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mce-tb9-5r7
title: Turbonilla hamata F. Nordsieck, 1972

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tt9-edm-526
title: Nassarius trinodosus (E. A. Smith, 1876)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jr5-f7g-y43
title: Lindholmiola corcyrensis (Rossmässler, 1838)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lk2-169-z9n
title: Nassarius coronatus (Bruguière, 1789)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/15h-ba9-j8f
title: Tritia gibbosula (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ece-9gx-mlt
title: Phrontis pagoda (Reeve, 1844)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/78e-jhp-fer
title: Nassarius bimaculosus (A. Adams, 1852)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ww5-p2y-1s3
title: Tritia elongata (Bucquoy, Dautzenberg & Dollfus, 1882)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0k1-6fm-dbf
title: Tritia elongata (Bucquoy, Dautzenberg & Dollfus, 1882)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xqm-tdn-snt
title: Nassarius deepakaptei Nerurkar, 2021

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jnr-t5c-6qy
title: Pyrgiscus jeffreysii (Jeffreys, 1848)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w10-eed-mpj
title: Phrontis tiarula (Kiener, 1841)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.6084/m9.figshare.31376544
title: Assistance or Distraction? A Cognitive Ergonomics Perspective on Cognitive Load During AI-Assisted Post-Editing

description: The integration of generative artificial intelligence (GenAI) into professional workflows is reshaping human-computer interaction (HCI), requiring a deeper understanding of how these systems affect human cognition from a cognitive ergonomics perspective. This study examines AI-assisted post-editing (AIPE), a translation workflow utilizing large language models to provide suggestions and accompanying rationales. Drawing on Cognitive Load Theory, we investigated the impact of AIPE on cognitive load across varying task conditions using a mixed-methods approach of eye-tracking, key-logging, subjective ratings, and retrospective interviews. Results demonstrate a cognitive paradox in AI assistance: although AIPE reduces overall cognitive load—especially in L1–L2 translation and light PE scenarios—it concurrently increases localized cognitive engagement. These findings characterize AIPE as a form of human-AI collaboration that can offload routine diagnostic work while reconfiguring users’ effort at decision-making, and they highlight the importance of task context when designing cognitively ergonomic, human-centered AI support for expert workflows.
DOI: 10.6084/m9.figshare.31376544.v1
title: Assistance or Distraction? A Cognitive Ergonomics Perspective on Cognitive Load During AI-Assisted Post-Editing

description: The integration of generative artificial intelligence (GenAI) into professional workflows is reshaping human-computer interaction (HCI), requiring a deeper understanding of how these systems affect human cognition from a cognitive ergonomics perspective. This study examines AI-assisted post-editing (AIPE), a translation workflow utilizing large language models to provide suggestions and accompanying rationales. Drawing on Cognitive Load Theory, we investigated the impact of AIPE on cognitive load across varying task conditions using a mixed-methods approach of eye-tracking, key-logging, subjective ratings, and retrospective interviews. Results demonstrate a cognitive paradox in AI assistance: although AIPE reduces overall cognitive load—especially in L1–L2 translation and light PE scenarios—it concurrently increases localized cognitive engagement. These findings characterize AIPE as a form of human-AI collaboration that can offload routine diagnostic work while reconfiguring users’ effort at decision-making, and they highlight the importance of task context when designing cognitively ergonomic, human-centered AI support for expert workflows.
DOI: 10.3535/4zl-aa1-pa5
title: Nassarius arcularia (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vz4-41h-cbd
title: Nassarius velatus (A. Gould, 1850)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jmh-3pj-63t
title: Nassarius Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ryr-tmj-n3g
title: Turbonilla pusilla (R. A. Philippi, 1844)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x73-n13-tg4
title: Nassarius Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ar6-s6x-xwx
title: Phrontis hotessieriana (A. d'Orbigny, 1842)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e37-44j-8ts
title: Tritia corniculum (Olivi, 1792)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/myv-sx0-1vc
title: Nassarius Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vtk-8cx-jn9
title: Nassarius subtranslucidus (E. A. Smith, 1903)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f4m-k5g-mcf
title: Nassarius obvelatus (Deshayes, 1833)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q7s-x0w-r7c
title: Nassarius multigranosus (Dunker, 1847)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/18g-a7b-gmq
title: Cyllene pulchella A. Adams & Reeve, 1850

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dev-xz2-pqs
title: Bullia vittata (Linnaeus, 1767)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/34z-qae-6vy
title: Nassarius oneratus (Deshayes, 1863)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/etd-yw9-q3l
title: Nassarius radians H. H. Kool & Galindo, 2014

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qys-p5w-5cr
title: Nassarius Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p73-4x6-gc9
title: Nassarius gruneri (Dunker, 1846)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/swy-mdr-9zf
title: Nassarius javanus (Schepman, 1891)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lc5-syk-7zx
title: Nassarius succinctus (A. Adams, 1852)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z63-lbt-lbe
title: Nassarius fidus (Reeve, 1853)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/aq8-3xd-4s0
title: Nassarius enzoi Bozzetti, 2007

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kvy-m6j-96e
title: Nassarius Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.57702/2vaq2avo
title: sexton-2025-1

description: IsSupplementTo: https://doi.org/10.1007/s10980-025-02062-8; IsSourceOf: [TODO]
DOI: 10.15468/dl.f27w8y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brasilocaenis septentrionalis",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031903-260208012135463/datasets/export for details.
DOI: 10.3535/3f4-8vh-mey
title: Jujubinus gravinae (Dautzenberg, 1881)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.25921/gr26-1742
title: Conductivity-Temperature-Depth (CTD) profile data taken from the research vessel Endeavor on the Scotian Shelf and in Gulf of Maine during the Maritimes Region Atlantic Zone Monitoring Program (AZMP) 2025 spring survey, March 29 to April 18, 2025 (NCEI Accession 0310405)

description: Dataset contains water temperature, salinity, and other parameters of downcast CTD data collected at 96 CTD stations from the research vessel Endeavor, cruise EN728, on the Scotian Shelf and in Gulf of Maine during the Maritimes Region Atlantic Zone Monitoring Program (AZMP) 2025 spring survey. This dataset is U.S. State Department MSR U2024-025 as part of the World Data Service for Oceanography. Data are in netCDF.
DOI: 10.3535/xs1-pnn-agt
title: Varicospira crispata (G. B. Sowerby II, 1842)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.18708961
title: Replication Package for "The Air Quality Effects of Uber"

description: Replication package for "The Air Quality Effects of Uber" (Sarmiento & Kim, 2025, Journal of Urban Economics). Contains all R code and data to reproduce the 64 exhibits (tables and figures) in the paper. Five sequential modules run end-to-end via a master script: data construction, main regressions, appendix regressions, main exhibits, and appendix exhibits. Total size ~14 GB.
DOI: 10.5281/zenodo.18708962
title: Replication Package for "The Air Quality Effects of Uber"

description: Replication package for "The Air Quality Effects of Uber" (Sarmiento & Kim, 2025, Journal of Urban Economics). Contains all R code and data to reproduce the 64 exhibits (tables and figures) in the paper. Five sequential modules run end-to-end via a master script: data construction, main regressions, appendix regressions, main exhibits, and appendix exhibits. Total size ~14 GB.
DOI: 10.6084/m9.figshare.30329180
title: Analysis and forecasting of daily global gold price: an SARIMA-LSTM approach with Random Forest technique

description: Forecasting gold prices remains vital in financial markets, given gold’s dual role as both a hedge against inflation and a safe-haven asset during economic uncertainty. This study proposes a hybrid model integrating SARIMA, LSTM, and RF to improve predictive accuracy by capturing both linear and nonlinear dependencies in historical gold price data. SARIMA models linear trends and seasonal components, LSTM captures nonlinear patterns from SARIMA residuals, and RF refines predictions using macroeconomic indicators such as the USD Index, Federal Interest Rate, US CPI, Oil Prices, S&P 500 Index, and Bond Yields. Utilizing real-world data, the model effectively tracks market trends with reduced forecasting errors, indicating continued price fluctuations and potential long-term growth. The findings provide valuable insights for investors and policymakers, with future research focusing on additional macroeconomic factors and advanced hybrid forecasting techniques. This study introduces a hybrid SARIMA–LSTM–RF model that enhances the accuracy of gold price forecasting by capturing both linear and nonlinear market dynamics. By integrating macroeconomic indicators such as the USD Index, Federal Interest Rate, CPI, Oil Prices, S&P 500 Index, and Bond Yields, the model effectively reflects real-world financial interactions influencing gold prices. The results demonstrate reduced prediction errors and improved tracking of short-term fluctuations as well as long-term growth trends. These findings provide valuable implications for investors and policymakers in managing financial risk and optimizing investment portfolios, while contributing to the advancement of hybrid forecasting frameworks for complex financial time series.
DOI: 10.6084/m9.figshare.30329180.v1
title: Analysis and forecasting of daily global gold price: an SARIMA-LSTM approach with Random Forest technique

description: Forecasting gold prices remains vital in financial markets, given gold’s dual role as both a hedge against inflation and a safe-haven asset during economic uncertainty. This study proposes a hybrid model integrating SARIMA, LSTM, and RF to improve predictive accuracy by capturing both linear and nonlinear dependencies in historical gold price data. SARIMA models linear trends and seasonal components, LSTM captures nonlinear patterns from SARIMA residuals, and RF refines predictions using macroeconomic indicators such as the USD Index, Federal Interest Rate, US CPI, Oil Prices, S&P 500 Index, and Bond Yields. Utilizing real-world data, the model effectively tracks market trends with reduced forecasting errors, indicating continued price fluctuations and potential long-term growth. The findings provide valuable insights for investors and policymakers, with future research focusing on additional macroeconomic factors and advanced hybrid forecasting techniques. This study introduces a hybrid SARIMA–LSTM–RF model that enhances the accuracy of gold price forecasting by capturing both linear and nonlinear market dynamics. By integrating macroeconomic indicators such as the USD Index, Federal Interest Rate, CPI, Oil Prices, S&P 500 Index, and Bond Yields, the model effectively reflects real-world financial interactions influencing gold prices. The results demonstrate reduced prediction errors and improved tracking of short-term fluctuations as well as long-term growth trends. These findings provide valuable implications for investors and policymakers in managing financial risk and optimizing investment portfolios, while contributing to the advancement of hybrid forecasting frameworks for complex financial time series.
DOI: 10.6084/m9.figshare.28573082
title: Imperfect competition and asymmetric welfare effects of global price and productivity shocks: a CGE model analysis for Senegal

description: This article investigates the asymmetric effects of global price and productivity shocks on welfare in the context of imperfect competition. The primary objective is to understand how market concentration affects the transmission of economic shocks and their impacts on various households. A CGE model, calibrated on a 2014 social accounting matrix for Senegal, is used. The model features a trading sector operating under a Cournot oligopoly with increasing returns to scale. Two scenarios are simulated: a 15% increase in global import prices and a 10% increase in agricultural productivity, each considering different levels of market concentration. The findings reveal that higher global import prices reduce household well-being, a situation exacerbated by low market competition. In contrast, agricultural productivity gains enhance well-being, with these benefits amplified by greater competition. However, the wealthiest households in Dakar benefit from low competition due to their positions in oligopolistic companies. To maximize household well-being, economic policies should focus on strengthening market competition, particularly in the trading sector. Actions such as reducing entry barriers for new businesses and regulating anti-competitive practices can help mitigate the adverse effects of global price increases and amplify the benefits of agricultural productivity gains. This study examines the asymmetric welfare effects of global price and productivity shocks in the context of imperfect competition, using a computable general equilibrium (CGE) model for Senegal. Our findings reveal that increased market concentration amplifies the adverse effects of global import price hikes while dampening the benefits of agricultural productivity gains, with significant distributional consequences. In particular, low market competition disproportionately benefits the wealthiest households in Dakar while exacerbating welfare losses for other groups. These insights underscore the critical role of competitive market structures in mitigating economic shocks and enhancing household well-being. The study provides valuable policy implications, highlighting the need for pro-competition policies such as reducing entry barriers and regulating anti-competitive practices in the trading sector. Strengthening market competition can help shield consumers from external price shocks and ensure broader welfare gains from productivity improvements.
DOI: 10.6084/m9.figshare.28573082.v1
title: Imperfect competition and asymmetric welfare effects of global price and productivity shocks: a CGE model analysis for Senegal

description: This article investigates the asymmetric effects of global price and productivity shocks on welfare in the context of imperfect competition. The primary objective is to understand how market concentration affects the transmission of economic shocks and their impacts on various households. A CGE model, calibrated on a 2014 social accounting matrix for Senegal, is used. The model features a trading sector operating under a Cournot oligopoly with increasing returns to scale. Two scenarios are simulated: a 15% increase in global import prices and a 10% increase in agricultural productivity, each considering different levels of market concentration. The findings reveal that higher global import prices reduce household well-being, a situation exacerbated by low market competition. In contrast, agricultural productivity gains enhance well-being, with these benefits amplified by greater competition. However, the wealthiest households in Dakar benefit from low competition due to their positions in oligopolistic companies. To maximize household well-being, economic policies should focus on strengthening market competition, particularly in the trading sector. Actions such as reducing entry barriers for new businesses and regulating anti-competitive practices can help mitigate the adverse effects of global price increases and amplify the benefits of agricultural productivity gains. This study examines the asymmetric welfare effects of global price and productivity shocks in the context of imperfect competition, using a computable general equilibrium (CGE) model for Senegal. Our findings reveal that increased market concentration amplifies the adverse effects of global import price hikes while dampening the benefits of agricultural productivity gains, with significant distributional consequences. In particular, low market competition disproportionately benefits the wealthiest households in Dakar while exacerbating welfare losses for other groups. These insights underscore the critical role of competitive market structures in mitigating economic shocks and enhancing household well-being. The study provides valuable policy implications, highlighting the need for pro-competition policies such as reducing entry barriers and regulating anti-competitive practices in the trading sector. Strengthening market competition can help shield consumers from external price shocks and ensure broader welfare gains from productivity improvements.
DOI: 10.25921/kdsh-8b04
title: Partial mortality, size, presence, and density of Endangered Species Act-listed Acropora globiceps and Isopora crateriformis coral colonies in Tutuila, American Samoa from 2025-02-07 to 2025-03-22 (NCEI Accession 0312067)

description: This record describes Acropora globiceps and Isopora crateriformis raw density at the site level as well as colony-level partial mortality, size, and bleaching for each species. Surveys were conducted by SCUBA divers from February 4-26, 2025 and and March 10-27, 2025 in Tutuila, American Samoa by scientists of the Ecosystem Sciences division at the Pacific Islands Fisheries Science Center, and this project was funded by the Inflation Reduction Act (NA24NMFX405C0005-T1-01).

Related datasets include benthic fixed site photogrammetric imagery, an AI image classifier, genomics, thermal tolerance data, subsurface water temperature data, and will be described and accessible on the InPort metadata record https://www.fisheries.noaa.gov/inport/item/76360.