cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/ctb-dk3-cdr
title: Eupsilia transversa Hufnagel, 1766

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-zc5-6c94
title: Een Schlitzgrube in Sittard
title: ARCHOL 52

description: &lt;p&gt;onderzoeksrapport&lt;/p&gt;
description: &lt;p&gt;inventariserend veldonderzoek te Sittard Rijksweg Zuid, gem. Sittard-Geleen&lt;/p&gt;
description: &lt;p&gt;ARCHOL 52&lt;/p&gt;
DOI: 10.3535/2mg-pj9-nhf
title: Agrochola (Anchoscelis) helvola Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6jp-bkr-glx
title: Xylena vetusta Hübner, 1813

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p59-e5e-zbj
title: Conistra (Conistra) vaccinii (Linnaeus, 1761)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-zc5-87zt
title: PAN-00077137 - round bullet (small arm)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00077137&lt;/p&gt;
description: Modified: 2020-08-14T14:52:06+02:00
DOI: 10.3535/ctw-bna-zda
title: Parastichtis suspecta Hübner, 1809

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rt7-avh-0ev
title: Senta flammea Curtis, 1828

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/843-act-7sy
title: Eupsilia transversa Hufnagel, 1766

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-zc5-8fep
title: PAN-00086369 - military button, Napoleonic: Navy type 2 (Equipage de Hautbord)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00086369&lt;/p&gt;
description: Modified: 2022-08-10T08:52:43+02:00
DOI: 10.3535/b0x-zmb-sy1
title: Agrochola (Anchoscelis) helvola Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tew-gff-fx3
title: Ammoconia caecimacula [Denis & Schiffermüller], 1775

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3fj-mn1-2hh
title: Xylena exsoleta Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yxz-vts-lnr
title: Cosmia (Calymnia) trapezina (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-zc5-8nj9
title: Prins Willem Alexanderplein, Benthuizen, gemeente Rijnwoude: een bureauonderzoek

description: &lt;p&gt;Bureau voor Archeologie heeft een bureauonderzoek uitgevoerd voor de verbouw van winkelcentrum De Korf aan het Prins Willem Alexanderplein te Benthuizen.&lt;/p&gt;&lt;p&gt;Het onderzoek is uitgevoerd conform de richtlijnen van de KNA, protocol 4002. In het kader van het onderzoek zijn kaarten, databases en literatuur geraadpleegd, om te komen tot een gespecificeerde archeologische verwachting van het gebied. Het plangebied ligt in een woonwijk uit de jaren zestig ten zuiden van de historische kern van Benthuizen. Het voornemen is om het winkelcentrum De Korf te verbouwen waarbij het vloeroppervlak wordt uitgebreid van circa 1420 m2 naar 1920 m2. Het winkelcentrum en de omringende woonwijk zijn gebouwd in een droogmakerij uit de 18e eeuw. In het gebied lag oorspronkelijk een dik veenpakket in de Middeleeuwen is ontgonnen en later – tussen de 16e en de 18e eeuw – is afgegraven. Heden liggen afzettingen van het Laagpakket van Wormer aan het oppervlak. In de top hiervan kunnen potentieel archeologische resten uit het Neolithicum worden aangetroffen. Echter, naar verwachting is het archeologische niveau geroerd door de vervening, landbouwactiviteiten na de droogmaking en de bouw van het bestaande winkelcentrum in de jaren zestig. Bureau voor Archeologie adviseert het plangebied vrij te geven voor de voorgenomen ontwikkeling. Ondanks dat dit onderzoek met de grootst mogelijke zorgvuldigheid is uitgevoerd, is het echter nooit uit te sluiten dat toch archeologische resten worden aangetroffen bij de graafwerkzaamheden. Bureau voor Archeologie wijst er in dat geval op dat men bij bodemverstorende activiteiten verplicht is om eventuele vondsten en grondsporen te melden bij de Minister van OCW conform artikel 53 van de Monumentenwet uit 1988. In dit geval wordt aangeraden om contact op te nemen met de gemeente Rijnwoude.&lt;/p&gt;
DOI: 10.3535/dkf-bcd-z0t
title: Conistra (Conistra) ligula (Esper, 1791)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ytj-pl1-50t
title: Agrochola (Sunira) circellaris Hufnagel, 1766

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rey-jam-we6
title: Agrochola (Leptologia) lota Clerck, 1759

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vwb-ngv-s23
title: Conistra (Conistra) vaccinii (Linnaeus, 1761)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-zc5-92g8
title: Een inventariserend archeologisch veldonderzoek aan de Rengersweg te Oentsjerk, Gemeente Tytsjerksteradiel

description: &lt;p&gt;onderzoeksrapport&lt;/p&gt;
DOI: 10.6084/m9.figshare.28731221
title: Electoral Preferences and Regional Economies in Romania’s 2024 Presidential Elections: Local-Level Results, Sectoral Indicators, and Spatial Models

description: <b>Abstract: </b>This repository contains the full dataset and model implementation for the analysis of voting patterns in Romania's 2024 presidential elections, focusing on the relationship between territorial economic structures and electoral preferences. The models estimate vote dominance at LAU level using sectoral, demographic, and regional predictors, including spatial autoregression. Particular attention is given to the overrepresentation of Bucharest in national-level FDI statistics, which is corrected through a GDP-based imputation model. For reproducibility, the repository includes: Cleaned and structured input data (LAU, NUTS3), all modelling scripts in R, Tableau maps for visual analysis and public presentation.<br><b>File Descriptions</b><b>LAU.csv</b>This dataset contains the local-level electoral and socio-economic data for all Romanian LAU2 units used in the spatial and statistical analyses. The file is used as the base for all models and includes identifiers for merging with the shapefile or spatial weights. It includes:- Electoral results by presidential candidate (2024, simulated),- Dominant vote type per locality,- Sectoral employment categories,- Demographic variables (ethnicity, education, age),- Regional and metropolitan classifications,- Weights for modelling.<b>NUTS3.csv</b>This dataset provides county-level economic indicators (GDP and FDI) over the period 2011–2022. The file supports the construction of regional indicators such as FDI-to-GDP ratios and export structure. Notably, the file includes both original and corrected values of FDI for Bucharest, following the imputation procedure described in the model script.<b>model.R</b>This R script contains the full modelling pipeline. The script includes both a model variant with Bucharest excluded and an alternative version using corrected FDI values, confirming the robustness of coefficients across specifications. It includes:- Pre-processing of LAU and NUTS3 data,- Imputation of Bucharest FDI using a linear model on GDP,- Survey-weighted logistic regression models for vote dominance per candidate,- Multinomial and hierarchical logistic models,- Seemingly Unrelated Regressions (SUR),- Spatial error models (SEM),- Principal Component Analysis on SEM residuals,- Latent dominance prediction using softmax transformation,- Export of predicted latent vote maps.<br><b>Maps.twbx</b>This Tableau workbook contains all final cartographic representations.The workbook uses a consistent colour palette based on candidate-typified economic structures (industry, services, agriculture, shrinking).- Choropleth maps of dominant vote by candidate,- Gradients reflecting latent probabilities from spatial models,- Maps of residuals and ideological factor scores (PCA-derived),- Sectoral economic geographies per county and per locality,- Overlay of dominant vote and sectoral transformation types.
DOI: 10.82144/f3b5323e
title: TOPP Albatrosses 2002-06

description: Original provider:
Scott Shaffer

Dataset credits:
Scott Shaffer, Michelle Kappes, Bill Henry, Yann Tremblay, Melinda Conners, Dan Costa, and the TOPP program

Abstract:
Laysan (&lt;i&gt;Phoebastria immutabilis&lt;/i&gt;) and black-footed (&lt;i&gt;P. nigripes&lt;/i&gt;) albatrosses were studied using Microwave Pico-100 and Wildlife Computers SPOT 4 satellite transmitters. Birds were studied at Tern Island, French Frigate Shoals, Northwest Hawaiian Islands (23.872 N, 166.272 W) from December 2002 to March 2009. The primary tracking period covers the incubation and chick-brooding phases during each year. In nearly all cases, albatrosses were equipped with a tag for a single trip to sea. Trip durations range from 1-32 days in duration and some albatrosses traveled over 15,000 km in a single trip.
DOI: 10.6084/m9.figshare.29204687
title: Replication package for "The Pursuit of Diversity: Multi-Objective Testing of Deep Reinforcement Learning Agents"

description: Replication package for "The Pursuit of Diversity: Multi-Objective Testing of Deep Reinforcement Learning Agents"<sub>Software available to re-use under the MIT license.</sub>Paper to be presented at the SSBSE'25 Workshop, please cite the paper based on those proceedings.
DOI: 10.6084/m9.figshare.29204687.v1
title: Replication package for "The Pursuit of Diversity: Multi-Objective Testing of Deep Reinforcement Learning Agents"

description: Replication package for "The Pursuit of Diversity: Multi-Objective Testing of Deep Reinforcement Learning Agents"<sub>Software available to re-use under the MIT license.</sub>Paper to be presented at the SSBSE'25 Workshop, please cite the paper based on those proceedings.
DOI: 10.15468/dl.q3jw6y
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clitoria ternatea",
 "Country is Nepal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005332-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y676c8
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005333-251009101135966/datasets/export for details.
DOI: 10.15468/dl.nv2a7b
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clitoria ternatea",
 "Country is Panama",
 "HasCoordinate is true"
 ]
}

 The dataset includes 61 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005334-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17309969
title: Non-targeted metabolomics profiling of plasma from intestinal Bmal1 knockout and control mice

description: This dataset comprises non-targeted metabolomics profiling of plasma from intestinal Bmal1 knockout mice (Bmal1-ciKO) and their littermate controls. The experiments aimed to assess the regulatory effects of intestinal clock on diurnal plasma metabolome.

Experimental Design:



Organism: Mus musculus (mouse)

Genotype: Bmal1-ciKO vs. control

Sample Type: Plasma

Time Points: Samples were collected every 4 hours over a 24-hour cycle under a 12h:12h Light:Dark schedule (ZT0: lights on, ZT12: lights off).

Biological Replicates: n = 3 biologically independent mice were used for each genotype at each time point.

Data Acquisition: Liquid Chromatography coupled with High-Resolution Mass Spectrometry in both positive and negative ionization modes.

Data Processing: Rhythmicity was assessed using the JTK_CYCLE algorithm.
DOI: 10.5281/zenodo.17309968
title: Non-targeted metabolomics profiling of plasma from intestinal Bmal1 knockout and control mice

description: This dataset comprises non-targeted metabolomics profiling of plasma from intestinal Bmal1 knockout mice (Bmal1-ciKO) and their littermate controls. The experiments aimed to assess the regulatory effects of intestinal clock on diurnal plasma metabolome.

Experimental Design:



Organism: Mus musculus (mouse)

Genotype: Bmal1-ciKO vs. control

Sample Type: Plasma

Time Points: Samples were collected every 4 hours over a 24-hour cycle under a 12h:12h Light:Dark schedule (ZT0: lights on, ZT12: lights off).

Biological Replicates: n = 3 biologically independent mice were used for each genotype at each time point.

Data Acquisition: Liquid Chromatography coupled with High-Resolution Mass Spectrometry in both positive and negative ionization modes.

Data Processing: Rhythmicity was assessed using the JTK_CYCLE algorithm.
DOI: 10.15156/bio/sh1146482.10fu
title: SH1146482.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1146485.10fu
title: SH1146485.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1146486.10fu
title: SH1146486.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1146490.10fu
title: SH1146490.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1146494.10fu
title: SH1146494.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1146497.10fu
title: SH1146497.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1146502.10fu
title: SH1146502.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1146504.10fu
title: SH1146504.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1146507.10fu
title: SH1146507.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.