cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.stdwt9
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Naturalis Biodiversity Center (NL) - Hemiptera",
 "Country is Croatia"
 ]
}

 The dataset includes 16 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002964-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2167190141
title: XMCD on Fe0.15Ga2Te3

description: We would like to measure the XMCD at the Fe K-edge of magnetic semiconductor.
DOI: 10.6084/m9.figshare.29149088
title: Toward better public genomic resources: two standardized datasets for <i>L. monocytogenes</i> and <i>V. parahaemolyticus</i>

description: <i>Listeria monocytogenes</i> is responsible for listeriosis, a serious disease affecting both humans and animals. <i>Vibrio parahaemolyticus, </i>found in various aqueous environments including marine, coastal, and freshwater, is associated with seafood-related illnesses.<i> </i>These food-borne pathogens have been frequently involved in disease outbreaks worldwide. While the NCBI Pathogen Detection database contains tens of thousands of sequences for these bacteria, challenges such as inconsistent quality, redundancy and non-standardized metadata limit their reuse. We present here two curated genomic datasets of 37,993 <i>L. monocytogenes</i> and 7,963 <i>V. parahaemolyticus</i> selected through rigorous quality control, deduplication, and annotation with harmonized contextual metadata, including standardized descriptors of isolation source, location, and isolation date. These datasets cover many diverse sources (animal, human, food, and environment) over a large time-period, and encompass multiple geographical regions. These datasets adhere to FAIR principles and can be used by the scientific community, within a “One Health” context, to improve our understanding of their ecology, to facilitate the epidemiological surveillance, and to identify genetic traits related to source attribution.
DOI: 10.34740/kaggle/dsv/11967358
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.zgrtnc
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes Meigen, 1818",
 "Country is Zambia"
 ]
}

 The dataset includes 24 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002967-250525065834625/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.29093022
title: Specialty disrespect in the medical learning environment: What is known and how can we intervene? A scoping review: BEME review no. 93

description: Specialty disrespect or badmouthing is an aspect of the hidden curriculum that can inappropriately affect medical student specialty choice. The authors sought to map the breadth and depth of knowledge on this topic and identify existing interventions. A scoping review was conducted by systematically searching several databases, grey literature, and hand-searching reference lists. English-language reports were included from any country through September 2024. Two authors screened each record for eligibility, coded and extracted data. Eighty-three reports were included in further analysis. Many terms were used to describe specialty disrespect, with badmouthing being the most common. Clinical faculty and non-primary care specialties were common sources of badmouthing and medical students were the most frequent recipients. Learners often encountered specialty shaming and perceived specialty hierarchies. Causes of disrespect included bias and stereotyping. Specialty disrespect was one of many factors impacting specialty choice. Few reports included implemented interventions. Specialty disrespect is a worldwide phenomenon negatively impacting the learning environment and specialty choice. It is experienced by trainees in many fields, though it disproportionately impacts primary care specialties. Given the dearth of published interventions, future work should identify and assess responses to this issue.
DOI: 10.6084/m9.figshare.29093022.v1
title: Specialty disrespect in the medical learning environment: What is known and how can we intervene? A scoping review: BEME review no. 93

description: Specialty disrespect or badmouthing is an aspect of the hidden curriculum that can inappropriately affect medical student specialty choice. The authors sought to map the breadth and depth of knowledge on this topic and identify existing interventions. A scoping review was conducted by systematically searching several databases, grey literature, and hand-searching reference lists. English-language reports were included from any country through September 2024. Two authors screened each record for eligibility, coded and extracted data. Eighty-three reports were included in further analysis. Many terms were used to describe specialty disrespect, with badmouthing being the most common. Clinical faculty and non-primary care specialties were common sources of badmouthing and medical students were the most frequent recipients. Learners often encountered specialty shaming and perceived specialty hierarchies. Causes of disrespect included bias and stereotyping. Specialty disrespect was one of many factors impacting specialty choice. Few reports included implemented interventions. Specialty disrespect is a worldwide phenomenon negatively impacting the learning environment and specialty choice. It is experienced by trainees in many fields, though it disproportionately impacts primary care specialties. Given the dearth of published interventions, future work should identify and assess responses to this issue.
DOI: 10.15468/dl.9ukj3x
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Worms (Luomus)",
 "Country is Croatia"
 ]
}

 The dataset includes 91 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002968-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27w24m
title: Occurrence Download

description: A dataset containing 726977 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "OccurrenceStatus is Present",
 "TaxonKey is Erinaceus europaeus Linnaeus, 1758"
 ]
}

 The dataset includes 726977 records from 2051 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002966-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/9np-4xc-pb6
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/srn-etl-y4w
title: Escharoides Milne Edwards, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1ps-n1f-pbq
title: †Miogypsina Sacco, 1893

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tmw-mha-0ca
title: Pasythea Lamouroux, 1812

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.3kfb3e
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Botswana",
 "OccurrenceStatus is Present",
 "TaxonKey is Gonimbrasia belina"
 ]
}

 The dataset includes 96 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018398-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/9kk-m8l-qyt
title: †Lepidocyclina Gümbel, 1870

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6rl-kqx-9td
title: Onychocella angulosa (Reuss, 1848)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yy7-tbw-7w4
title: Cupuladria Canu & Bassler, 1919

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g19-0c8-a0r
title: Virgulinella pertusa (Reuss, 1861)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zpk-a95-er5
title: Aegocrioceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g6r-jnq-00l
title: †Hornera striata Milne Edwards, 1838

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l8g-t1d-55w
title: Sorex (Sorex) minutus Linnaeus, 1766

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9zv-anm-650
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6zj-thl-3xq
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e6q-fmb-778
title: Biflustra savartii (Audouin, 1826)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3qy-sjh-svs
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ans-l8g-dsr
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gwa-4ty-z5b
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/91l-zlb-nxj
title: †Petalopora Lonsdale, 1850

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a0c-c7e-zlz
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1mw-k3s-tsw
title: Sorex Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5kb-n8q-tt2
title: Maianthemum F.H.Wigg.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/799-e37-rx6
title: †Miogypsina Sacco, 1893

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sd2-ebn-8ga
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vab-9n1-76d
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q1l-dpz-3lc
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t4d-efq-gdm
title: Pycnodonte Fischer von Waldheim, 1835

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dap-vp6-46r
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/09s-m56-k8k
title: Trypostega venusta (Norman, 1864)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lre-kgm-0ln
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3xt-fv3-kbv
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h63-bsg-pht
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tbc-6wz-g5w
title: Sorex (Sorex) minutus Linnaeus, 1766

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wg4-chg-6se
title: Discoporella umbellata (Defrance, 1823)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/87m-6lv-nka
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fgj-8b3-crz
title: Reteporella Busk, 1884

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kyv-4kc-31k
title: Crisia elongata Milne Edwards, 1838

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/92b-ep0-v2b
title: Phylloceras

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ww4-bzq-bjv
title: †Miogypsina Sacco, 1893

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

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hucho hucho",
 "GadmGid is DEU.2_1"
 ]
}

 The dataset includes 39 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018399-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/dn2-qwz-a1q
title: Muscardinus Kaup, 1829

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6zc-s91-bdl
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a99-65h-zkg
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3te-q3w-4gx
title: Entalophora Lamouroux, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.21227/6bvx-xg72
title: "Federal University Lafia {FULafia}, 2025\/2026 Admission List (1st & 2nd) is Out\u260e07081101151)(07081101151 DR Lilian Ojukwu for Ad"

description: "Federal University Lafia {FULafia}, 2025\/2026 Admission List (1st & 2nd) is Out\u260e07081101151)(07081101151 DR Lilian Ojukwu for Admission Help into Third and Final Batch Call Registrar :07081101151 To check your admission status on the Admission List, Processing Of Admission Into Any Department And Purchasing Of 2025\/2026 Last Supplementary Form For New Student Into Any Program, call the School's Admissions Office now on 07081101151."
DOI: 10.6084/m9.figshare.30546194
title: Volatility Forecasting in Cryptocurrencies and Traditional Financial Assets: Comparative Analysis of ARIMA, GARCH (1,1), and XGBoost Models

description: This paper presents a comparative analysis of volatility forecasting models applied to both cryptocurrency markets, specifically Bitcoin and Ethereum, and traditional financial assets including the S&P 500 and gold. The study evaluates the forecasting accuracy of two econometric models, ARIMA and GARCH(1,1), alongside a machine learning model, XGBoost. Forecast performance is assessed using Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE). Results show that cryptocurrency markets display heavier-tailed return distributions, greater unconditional volatility, and more frequent price jumps than traditional assets, which presents challenges for models relying on stationarity assumptions. XGBoost outperforms traditional methods in capturing nonlinear patterns and regime shifts in crypto markets, while ARIMA-GARCH models remain competitive in more stable environments such as equities and commodities. The inclusion of exogenous factors, such as macroeconomic indicators and regulatory developments, improves forecasting accuracy, especially for digital assets. Furthermore, hybrid models that integrate outputs from econometric frameworks into machine learning architectures yield additional performance gains. These findings emphasize the importance of selecting models that align with asset-specific characteristics and market structures. The study contributes to financial forecasting literature by demonstrating the complementary strengths of statistical and machine learning methods across heterogeneous asset classes.
DOI: 10.6084/m9.figshare.30546194.v1
title: Volatility Forecasting in Cryptocurrencies and Traditional Financial Assets: Comparative Analysis of ARIMA, GARCH (1,1), and XGBoost Models

description: This paper presents a comparative analysis of volatility forecasting models applied to both cryptocurrency markets, specifically Bitcoin and Ethereum, and traditional financial assets including the S&P 500 and gold. The study evaluates the forecasting accuracy of two econometric models, ARIMA and GARCH(1,1), alongside a machine learning model, XGBoost. Forecast performance is assessed using Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE). Results show that cryptocurrency markets display heavier-tailed return distributions, greater unconditional volatility, and more frequent price jumps than traditional assets, which presents challenges for models relying on stationarity assumptions. XGBoost outperforms traditional methods in capturing nonlinear patterns and regime shifts in crypto markets, while ARIMA-GARCH models remain competitive in more stable environments such as equities and commodities. The inclusion of exogenous factors, such as macroeconomic indicators and regulatory developments, improves forecasting accuracy, especially for digital assets. Furthermore, hybrid models that integrate outputs from econometric frameworks into machine learning architectures yield additional performance gains. These findings emphasize the importance of selecting models that align with asset-specific characteristics and market structures. The study contributes to financial forecasting literature by demonstrating the complementary strengths of statistical and machine learning methods across heterogeneous asset classes.
DOI: 10.15472/qk4u8k
title: Colección de Platelmintos del Museo de Historia Natural Marina de Colombia - Makuriwa

description: El Museo de Historia Natural Marina de Colombia - MHNMC que hace parte del Instituto de Investigaciones Marinas y Costeras Invemar, custodia entre su material biológico la Colección de Platelmintos. Esta fue creada en el año 2002 a partir de los ejemplares obtenidos en el litoral rocoso durante el proyecto Platelmintos Santa Marta desarrollado por los investigadores Marcela Bolaños y Sigmer Quiroga. Como parte de ese material, el Museo custodia el holotipo y el paratipo de la especie Armatoplana colombiana Bolaños, Quiroga y Litvaitis, 2006. Actualmente la colección catalogada cuenta con 92 lotes del Caribe colombiano, obtenidos entre los 0 y 85 m de profundidad recolectados en diferentes ambientes de la plataforma continental, mayoritariamente de los dpartamentos de La Guajira y Magdalena. Este recurso presenta los registros biológicos correspondientes a todo el material catalogado que fue documentado a partir del proceso de curaduría y catalogación efectuado entre 2022 y 2023 durante el desarrollo del proyecto BID-CA2020-055-NAC.The Marine Natural History Museum of Colombia - MHNMC, which is part of the Marine and Coastal Research Institute Invemar, holds among its biological material the Collection of Flatworms. This was created in 2002 from specimens obtained from the rocky coastline during the Santa Marta Flatworms project developed by researchers Marcela Bolaños and Sigmer Quiroga. As part of this material, the Museum holds the holotype and paratype of the species Armatoplana colombiana Bolaños, Quiroga and Litvaitis, 2006. Currently, the catalogued collection has 92 lots from the Colombian Caribbean, obtained between 0 and 85 m depth, collected in different environments of the continental shelf, mostly from the departments of La Guajira and Magdalena. This resource presents the biological records corresponding to all the catalogued material that was documented from the curatorial and cataloguing process carried out between 2022 and 2023 during the development of the project BID-CA2020-055-NAC.
DOI: 10.5281/zenodo.17536320
title: Input and parameter files for SynthFirm - a national-scale firm synthesizer and supply chain simulator

description: The V1 dataset contains input and parameter files to support SynthFirm implementations in multiple regions, including freight demand generation for the entire U.S., San Francisco Bay Area and Seattle, Washington Area. To access the tool, please visit this public repository and follow the user guide: https://github.com/LBNL-UCB-STI/SynthFirm/tree/main. 

The V2 dataset contains input and parameter files to support SynthFirm implementations in PSRC (Puget Sound Regional Council) region, including input data from regional travel demand model. To access the tool, please visit this public repository and follow the user guide: https://github.com/LBNL-UCB-STI/SynthFirm/tree/PSRC_application

The V3 dataset contains input and parameter files to support SynthFirm implementations in multiple regions, with Austin region inputs added. To access the tool, please visit this public repository and follow the user guide: https://github.com/LBNL-UCB-STI/SynthFirm/tree/main.
DOI: 10.15468/dl.zmham2
title: Occurrence Download

description: A dataset containing 3134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "Country is Kosovo",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Pl@ntNet automatically identified occurrences, A global database for the distributions of crop wild relatives, NABU|naturgucker, Royal Botanic Gardens, Kew - Herbarium Specimens, EURISCO, The European Genetic Resources Search Catalogue, Observation.org, Nature data from around the World, Distributional data on high altitude endemic taxa of vascular plants from western Balkans, Pl@ntNet observations, Podujeva WWTP Project Biodiversity Survey Results)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 3134 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018588-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9s3gnc
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cosmos mcvaughii"
 ]
}

 The dataset includes 31 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018589-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/4bqt-xx97
title: "Federal University Lokoja {FUL}, 2025\/2026 Admission List (1st & 2nd) is Out\u260e07081101151)(07081101151 DR Lilian Ojukwu for Admis"

description: "Federal University Lokoja {FUL}, 2025\/2026 Admission List (1st & 2nd) is Out\u260e07081101151)(07081101151 DR Lilian Ojukwu for Admission Help into Third and Final Batch Call Registrar :07081101151 To check your admission status on the Admission List, Processing Of Admission Into Any Department And Purchasing Of 2025\/2026 Last Supplementary Form For New Student Into Any Program, call the School's Admissions Office now on 07081101151."