cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1238176.10fu
title: SH1238176.10FU

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/sh1238179.10fu
title: SH1238179.10FU

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: 10.57760/sciencedb.30445
title: A long-term and high-resolution hourly photosynthetically active radiation dataset in China using a Transformer-based deep learning model (2005-2023)
title: A long-term and high-resolution hourly photosynthetically active radiation dataset in China using a Transformer-based deep learning model (2005-2023)

description: This hourly full coverage photosynthetically active radiation dataset at 0.1° × 0.1° resolution in China during 2005–2023 was generated using multi-source data (e.g., ground-based measurements, ERA5 reanalysis datasets, satellite products, etc.) through a Transformer-based deep learning model.
description: This hourly full coverage photosynthetically active radiation dataset at 0.1° × 0.1° resolution in China during 2005–2023 was generated using multi-source data (e.g., ground-based measurements, ERA5 reanalysis datasets, satellite products, etc.) through a Transformer-based deep learning model.
DOI: 10.15156/bio/sh1238180.10fu
title: SH1238180.10FU

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/sh1238182.10fu
title: SH1238182.10FU

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: 10.57760/sciencedb.30443
title: A long-term and high-resolution hourly ultraviolet radiation dataset in China using a Transformer-based deep learning model (2005-2023)
title: A long-term and high-resolution hourly ultraviolet radiation dataset in China using a Transformer-based deep learning model (2005-2023)

description: This hourly full coverage ultraviolet radiation dataset at 0.1° × 0.1° resolution in China during 2005–2023 was generated using multi-source data (e.g., ground-based measurements, ERA5 reanalysis datasets, satellite products, etc.) through a Transformer-based deep learning model.
description: This hourly full coverage ultraviolet radiation dataset at 0.1° × 0.1° resolution in China during 2005–2023 was generated using multi-source data (e.g., ground-based measurements, ERA5 reanalysis datasets, satellite products, etc.) through a Transformer-based deep learning model.
DOI: 10.17026/ar/a2taew
title: Archeologisch bureauonderzoek Thailandlaan 6, Aalsmeer Gemeente Aalsmeer

description: IDDS Archeologie heeft in februari 2024 een archeologisch bureauonderzoek uitgevoerd voor de Thailandlaan 6 in Aalsmeer, gemeente Aalsmeer. De doel- en vraagstelling van het bureauonderzoek is het opstellen van een gespecificeerde archeologische verwachting voor het plangebied.
Uit het bureauonderzoek blijkt dat het plangebied is gelegen in een afgegraven veenvlakte waardoor getijdenafzettingen direct aan het maaiveld worden verwacht (Laagpakket van Wormer van de Formatie van Naaldwijk). Op basis van het historische kaartmateriaal is het gebied in het begin van de 17e eeuw nog een vlakte en is deze in het begin van de 19e eeuw een meer (De Poel), welke in de laat 19e eeuw wordt drooggelegd (Oosteinderpoelpolder) en in gebruik genomen voor akker en tuinbouw. Al deze afzettingen hebben een lage archeologische verwachting. 
Eventuele archeologische resten uit het Paleolithicum en Mesolithicum kunnen aangetroffen worden op de Pleistocene dekzand afzettingen (ca. -10 tot -12 m NAP; 6 tot 8 m -mv). De archeologische verwachting voor het aantreffen van dergelijke resten is niet bekend. Echter gezien de huidige bouwplannen zullen deze lagen niet verstoord worden.
IDDS Archeologie adviseert om het plangebied, voor wat betreft aspect archeologie, vrij te geven voor de voorgenomen civieltechnische werkzaamheden.
DOI: 10.57760/sciencedb.30442
title: A long-term and high-resolution hourly downward surface solar radiation dataset in China using a Transformer-based deep learning model (2005-2023)
title: A long-term and high-resolution hourly downward surface solar radiation dataset in China using a Transformer-based deep learning model (2005-2023)

description: This hourly full coverage downward surface solar radiation dataset at 0.1° × 0.1° resolution in China during 2005–2023 was generated using multi-source data (e.g., ground-based measurements, ERA5 reanalysis datasets, satellite products, etc.) through a Transformer-based deep learning model.
description: This hourly full coverage downward surface solar radiation dataset at 0.1° × 0.1° resolution in China during 2005–2023 was generated using multi-source data (e.g., ground-based measurements, ERA5 reanalysis datasets, satellite products, etc.) through a Transformer-based deep learning model.
DOI: 10.17026/ar/1wdtmw
title: Archeologisch bureauonderzoek Park de Vosse & Cerespark, Hillegom Gemeente Hillegom

description: IDDS Archeologie heeft in februari 2024 een archeologisch bureauonderzoek uitgevoerd voor Park de Vosse en het Cerespark in Hillegom, gemeente Hillegom. De doel- en vraagstelling van het bureauonderzoek is het opstellen van een gespecificeerde archeologische verwachting voor het plangebied.
Uit het bureauonderzoek blijkt dat het plangebied is gelegen op een ontgonnen veenvlakte. Naar verwachting bestaat de ondergrond uit getijdeafzettingen, bedekt met (een restant) veen, en aan het maaiveld een zandpakket dat deels ingestoven kan zijn vanaf de ten westen gelegen strandwal en deels opgebracht. De getijdeafzettingen en het veen hebben een lage archeologische verwachting. Indien sprake is van een natuurlijke zandlaag op het veen dan kan hierop bewoning hebben plaatsgevonden. De kans is echter zeer groot dat deze zandlaag is omgewerkt door het gebruik van het plangebied voor de bloembollenteelt en door de inrichting tot park. Bij alle eerdere archeologische onderzoeken die in de (directe) omgeving van het plangebied zijn uitgevoerd, was dit zandpakket verstoord.
Het historisch kaartmateriaal onderbouwt de lage verwachting voor het plangebied voor wat betreft de periode Nieuwe tijd, met uitzondering van de zuidoostpunt van het plangebied waar vanaf het einde van de 16e eeuw (waarschijnlijk 1566 of 1581) een molen heeft gestaan. Deze molen is in 2012 gesloopt. Het is niet bekend of de sloop alleen de bovenbouw betrof of dat ook de funderingen zijn verwijderd. De molenlocatie krijgt daarmee een hoge archeologische verwachting. Er kunnen niet alleen resten van de molen zelf worden aangetroffen maar ook van bijbehorende sporen zoals waterputten, afvalkuilen, schuren en dergelijke.
IDDS Archeologie adviseert om, indien bodemingrepen gepland zijn ter plaatse van de voormalige molenlocatie (bijlage 3), vervolgonderzoek uit te laten voeren. Dit vervolgonderzoek kan het beste bestaan uit het graven van enkele proefsleuven om vast te stellen of er nog resten van de molen of eventuele bijbehorende sporen en structuren in de ondergrond aanwezig zijn.
IDDS Archeologie adviseert om de rest van het plangebied, voor wat betreft het aspect archeologie, vrij te geven voor de voorgenomen civieltechnische werkzaamheden.
DOI: 10.17026/ar/urtypu
title: Archeologisch bureauonderzoek Beltpark, Hillegom Gemeente Hillegom

description: IDDS Archeologie heeft in februari 2024 een archeologisch bureauonderzoek uitgevoerd voor de het Beltpark in Hillegom, gemeente Hillegom. De doel- en vraagstelling van het bureauonderzoek is het opstellen van een gespecificeerde archeologische verwachting voor het plangebied.
Uit het bureauonderzoek blijkt dat het plangebied is gelegen op een ontgonnen veenvlakte. Naar verwachting bestaat de ondergrond uit getijdeafzettingen bedekt met veen. In de 20e eeuw is het plangebied gebruikt als stortplaats waardoor het veen tot een diepte van 2,0 m -mv uiterst huisvuilhoudend is. Op het veen bevindt zich een zandlaag van 1,0 m dik die is opgebracht als leeflaag om de stortplaats af te dekken.
De getijdeafzettingen hebben een lage archeologische verwachting. Door de diepe omwerkingen bij het gebruik van het plangebied als stortplaats heeft het veen een zeer lage archeologische verwachting. De zandige leeflaag is afkomstig van elders, waardoor deze geen archeologische verwachting heeft.
IDDS Archeologie adviseert om het plangebied, voor wat betreft het aspect archeologie, vrij te geven voor de voorgenomen civieltechnische werkzaamheden.
DOI: 10.17026/ar/9iuqfc
title: Archeologisch bureauonderzoek & Inventariserend Veldonderzoek, verkennende fase Ridderbuurt 85a, Alphen aan den Rijn Gemeente Alphen aan den Rijn

description: IDDS Archeologie heeft in oktober 2025 een archeologisch bureauonderzoek en een inventariserend veldonderzoek (IVO), verkennende fase, uitgevoerd aan de Ridderbuurt 85A in Alphen aan den Rijn, gemeente Alphen aan den Rijn. De doel- en vraagstelling van het bureauonderzoek is het opstellen van een gespecificeerde archeologische verwachting voor het plangebied. Met het inventariserend veldonderzoek wordt deze verwachting getoetst en zo nodig aangevuld. 
Uit het onderzoek blijkt dat het plangebied achtereenvolgens heeft gelegen in een kweldergebied, een veenmoeras en een laatmiddeleeuws ontginningslint. De bodem in het plangebied is verstoord tot een diepte tussen 1,1 en 2,1 m -mv, tot in de top van het Hollandveen. Het plangebied heeft hierdoor een (zeer) lage archeologische verwachting. Alleen ter plekke van de intacte kade zouden nog archeologische resten uit de Late Middeleeuwen aanwezig kunnen zijn.
IDDS Archeologie adviseert om het plangebied, voor wat betreft het aspect archeologie, vrij te geven voor de voorgenomen civieltechnische werkzaamheden. Een uitzondering geldt voor de kade: daarvoor wordt geadviseerd om de huidige archeologische dubbelbestemming te behouden.
DOI: 10.11588/duerer.online.6964c0a00a37b
title: Der neue Chor von St. Gertrudis in Bergen op Zoom, https://d-nb.info/gnd/1195238398
DOI: 10.15156/bio/sh1238183.10fu
title: SH1238183.10FU

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/sh1238184.10fu
title: SH1238184.10FU

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: 10.57760/sciencedb.33511
title: Computational principles of first impressions: Distinct codes for typicality and attractiveness
title: Computational principles of first impressions: Distinct codes for typicality and attractiveness

description: Humans spontaneously form first impressions of others, ranging from recognizing who is typical to evaluating who is attractive. We show these judgments arise from correlated but distinct coding principles. Using 3D body perception as a model domain, participants from the United States and China rated bodies sampled from a continuous statistical space. Typicality tracked proximity to the population prototype, consistent with norm-based coding. Attractiveness departed from this norm, favoring bodies with greater curvature or muscularity, consistent with dimension-prioritization coding that amplifies specific features. In a follow-up experiment, we created exaggerated versions of typical and attractive bodies to accentuate these differences. Results showed that bodies were judged as more attractive the farther they moved away from the typical caricature. These findings show that first impressions rely on distinct principles within a shared representational space, explaining how people judge fundamental traits that guide social interactions.
description: Humans spontaneously form first impressions of others, ranging from recognizing who is typical to evaluating who is attractive. We show these judgments arise from correlated but distinct coding principles. Using 3D body perception as a model domain, participants from the United States and China rated bodies sampled from a continuous statistical space. Typicality tracked proximity to the population prototype, consistent with norm-based coding. Attractiveness departed from this norm, favoring bodies with greater curvature or muscularity, consistent with dimension-prioritization coding that amplifies specific features. In a follow-up experiment, we created exaggerated versions of typical and attractive bodies to accentuate these differences. Results showed that bodies were judged as more attractive the farther they moved away from the typical caricature. These findings show that first impressions rely on distinct principles within a shared representational space, explaining how people judge fundamental traits that guide social interactions.
DOI: 10.15156/bio/sh1238185.10fu
title: SH1238185.10FU

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/sh1238187.10fu
title: SH1238187.10FU

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/sh1238191.10fu
title: SH1238191.10FU

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.