cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/ar/tnz4qm
title: Plangebied theater Lampegiet in Veenendaal, gemeente Veenendaal .
title: Archeologisch vooronderzoek: een bureauonderzoek.
title: RAAP RAPPORT 7899

description: &lt;/p&gt;
In opdracht van de gemeente Veenendaal heeft RAAP in mei-juni 2025 een archeologisch vooronderzoek in de vorm van een bureauonderzoek uitgevoerd voor het plangebied Theater Lampegiet in Veenendaal, gemeente Veenendaal (figuur 1). Het onderzoek vond plaats in het kader van de aanvraag van een omgevingsvergunning. Het onderzoek volgt op een eerder door RAAP uitgevoerd onderzoek, dat een groot deel van het huidige plangebied omvatte.
&lt;/p&gt;&lt;/p&gt;
Uit het bureauonderzoek, waarin ook de resultaten van het eerder door RAAP uitgevoerde onderzoek zijn meegenomen, blijkt dat het plangebied een lage verwachting heeft voor archeologische resten. Enerzijds omdat het gebied niet geschikt is geweest voor bewoning (te nat) en anderzijds omdat potentiële archeologische niveaus zijn verdwenen (veen) of verstoord (ten dele verspoelde dekzanden). Uit de periode na de ontginning in de late 16e eeuw worden op basis van historische bronnen ook geen bewoningssporen verwacht. Wel zou er onder de Kerkewijk nog een bruggenhoofd van een brug over de gedempte turfvaart Kerkewijk aanwezig kunnen zijn.
&lt;/p&gt;&lt;/p&gt;
Gezien de lage verwachting adviseert RAAP om het overgrote deel van het plangebied vrij te geven voor bodemroerende werkzaamheden.
&lt;/p&gt;&lt;/p&gt;
Alleen voor het deel dat nog een hoge verwachting heeft voor het aantreffen van resten van een bruggenhoofd uit de nieuwe tijd, is mogelijk vervolgonderzoek noodzakelijk. Als hier bij de toekomstige ontwikkelingen graafwerkzaamheden worden uitgevoerd, dan adviseren wij om hier een opgraving, variant
archeologische begeleiding uit te voeren. Dit onderzoek heeft tot doel archeologische resten te documenteren en eventueel te bergen. Een dergelijk onderzoek moet worden uitgevoerd op basis van een door de gemeente Veenendaal goedgekeurd Programma van Eisen (PvE).
&lt;/p&gt;&lt;/p&gt;
Dit rapport geeft (selectie)adviezen. Het is aan de bevoegde overheid, de gemeente Veenendaal, deze al dan niet over te nemen in de vorm van een (selectie)besluit.
Als het plangebied nu of in de toekomst door de gemeente Veenendaal wordt vrijgegeven voor bodemroerende werkzaamheden, dan blijft er, volgens artikel 5.10 van de Erfgoedwet uit juli 2016, een meldingsplicht bestaan. Eventuele archeologische resten die bij werkzaamheden worden aangetroffen moeten worden gemeld bij het Ministerie van Onderwijs, Cultuur en Wetenschap, c.q. de Rijksdienst voor het Cultureel Erfgoed.
&lt;/p&gt;
DOI: 10.5517/cc5xnsh
title: CCDC 176507: Experimental Crystal Structure Determination

description: Related Article: B.Walfort, T.Auth, B.Degel, H.Helten, D.Stalke|2002|Organometallics|21|2208|doi:10.1021/om020032q
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc5xntj
title: CCDC 176508: Experimental Crystal Structure Determination

description: Related Article: B.Walfort, T.Auth, B.Degel, H.Helten, D.Stalke|2002|Organometallics|21|2208|doi:10.1021/om020032q
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc603s2
title: CCDC 178863: Experimental Crystal Structure Determination

description: Related Article: D.Kost, V.Kingston, B.Gostevskii, A.Ellern, D.Stalke, B.Walfort, I.Kalikhman|2002|Organometallics|21|2293|doi:10.1021/om020068i
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc603t3
title: CCDC 178864: Experimental Crystal Structure Determination

description: Related Article: D.Kost, V.Kingston, B.Gostevskii, A.Ellern, D.Stalke, B.Walfort, I.Kalikhman|2002|Organometallics|21|2293|doi:10.1021/om020068i
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15156/bio/sh1382038.10fu
title: SH1382038.10FU

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/sh1382039.10fu
title: SH1382039.10FU

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: 10.13016/vc0x-b7bc
title: CrabFormer: RGB-D Segmentation and Pose Estimation for Front-End Loading of Piled Chesapeake Blue Crabs

description: CrabFormer is a multitasking transformer model developed to tackle the challenges of front-end loading in the automated processing of Chesapeake blue crabs. Existing methods often struggle to accurately identify crabs in chaotic, piled configurations, where occlusions and overlapping are common. CrabFormer addresses this by combining instance segmentation and keypoint prediction using RGB-D inputs to detect crabs and estimate their orientation. Utilizing a dual-patch Swin-T backbone, the model processes RGB and depth data separately, effectively capturing visual and geometric features. CrabFormer is evaluated on a custom dataset comprising discrete, overlapping, and piled crabs. It achieves a segmentation Average Precision (AP) of 67.84 and Average Recall (AR) of 76.29, while its keypoint prediction AP and AR are 62.43 and 77.23, respectively. The model outperforms state-of-the-art transformer-based segmentation and keypoint prediction models, particularly in the most complex piled cases, demonstrating improvements in both AP and AR. It excels in identifying the topmost crab in a pile, a key task for automated processing. Additionally, CrabFormer achieves competitive inference times while maintaining superior multitasking performance. These results highlight CrabFormer’s potential to enhance the automation of front-end loading in the seafood industry, reducing labor reliance and improving operational efficiency. Future work will expand the dataset and explore the model’s applicability to other crustaceans with similar morphological complexities.
DOI: 10.15156/bio/sh1382040.10fu
title: SH1382040.10FU

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/sh1382041.10fu
title: SH1382041.10FU

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/sh1382046.10fu
title: SH1382046.10FU

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/sh1382047.10fu
title: SH1382047.10FU

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/sh1382049.10fu
title: SH1382049.10FU

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/sh1382051.10fu
title: SH1382051.10FU

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/sh1382052.10fu
title: SH1382052.10FU

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/sh1382053.10fu
title: SH1382053.10FU

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: 10.17028/rd.lboro.28911305
title: Supplementary information files for "Extreme electron–hole drag and negative mobility in the Dirac plasma of graphene"

description: Supplementary files for article "Extreme electron–hole drag and negative mobility in the Dirac plasma of graphene"<br><br>Coulomb drag between adjacent electron and hole gases has attracted considerable attention, being studied in various two-dimensional systems, including semiconductor and graphene heterostructures. Here we report measurements of electron–hole drag in the Planckian plasma that develops in monolayer graphene in the vicinity of its Dirac point above liquid-nitrogen temperatures. The frequent electron–hole scattering forces minority carriers to move against the applied electric field due to the drag induced by majority carriers. This unidirectional transport of electrons and holes results in nominally negative mobility for the minority carriers. The electron–hole drag is found to be strongest near room temperature, despite being notably affected by phonon scattering. Our findings provide better understanding of the transport properties of charge-neutral graphene, reveal limits on its hydrodynamic description, and also offer insight into quantum-critical systems in general.<br><br>© The Author(s), CC BY-4.0
DOI: 10.17632/zg2268xzwv.1
title: Replication Package for "The Impact of Prices on Analyst Cash Flow Expectations: Reconciling Subjective Beliefs Data with Rational Discount Rate Variation"

description: Replication Package for "The Impact of Prices on Analyst Cash Flow Expectations: Reconciling Subjective Beliefs Data with Rational Discount Rate Variation" by Aditya Chaudhry.
DOI: 10.6084/m9.figshare.28911293
title: Transcripts of Interviews Conducted for I-WASH case

description: Transcripts of interviews conducted for collaborating actors on a water and sanitation management case in Nigeria.
DOI: 10.15468/dl.zqzaap
title: Occurrence Download

description: A dataset containing 7234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Urtica urens L."
 ]
}

 The dataset includes 7234 records from 345 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009517-250426092105405/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.28911338
title: Probing Molecular Mechanisms of Emulsifier-Modulated Lipid Crystallization via Ultrasonic Phase Velocity

description: Lipid crystallization critically influences food quality, yet its molecular mechanisms remain poorly understood. This study employs ultrasonic phase velocity, integrated with differential scanning calorimetry (DSC) and small-angle X-ray scattering (SAXS), to elucidate sucrose fatty acid ester (SFE) modulation of hydrogenated coconut oil (HCO) crystallization. Compressibility, not density, dominates acoustic responses during phase transitions, with compressibility changes 2.3 times greater than density changes.
DOI: 10.6084/m9.figshare.28898690
title: Biomimetic Signal Generators in Epilepsy Neuromodulation with Reservoir Computing

description: Preprocessed, multi-site extracellular electrical recordings from neuronal cell cultures developing <i>ex vivo</i> on substrate-integrated microelectrode arrays (MEAs)
DOI: 10.15468/dl.naae9t
title: Occurrence Download

description: A dataset containing 7621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Seladonia tumulorum (Linnaeus, 1758)"
 ]
}

 The dataset includes 7621 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009518-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hzsdkh
title: Occurrence Download

description: A dataset containing 3509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Limnephilus lunatus Curtis, 1834"
 ]
}

 The dataset includes 3509 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009519-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.