cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.h695vh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((7.68366 45.06434,7.69571 45.06434,7.69571 45.06905,7.68366 45.06905,7.68366 45.06434))",
 "HasGeospatialIssue is false",
 "Month is July",
 "OccurrenceStatus is Present",
 "TaxonKey is Cydalima perspectalis",
 "Year 2025-2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058604-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111153075
title: Record, KTU 4.18

description: [Text or Publication Number Note:] KTU 4.18, CTA 151, KTU2 4.18, KTU3 4.18, CTU 4.18, CAT 4.18 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.25549/inscriptifact-ouc111152672
title: Letter, KTU 2.62

description: [Text or Publication Number Note:] KTU 2.62, KTU2 2.62, KTU3 2.62, CTU 2.62, CAT 2.62 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.15468/dl.ddr5jy
title: Occurrence Download

description: A dataset containing 7728 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amazona oratrix Ridgway, 1887"
 ]
}

 The dataset includes 7728 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0191941-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111153079
title: Record, KTU 4.42

description: [Text or Publication Number Note:] KTU 4.42, CTA 153, KTU2 4.42, KTU3 4.42, CTU 4.42, CAT 4.42 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.25549/inscriptifact-ouc111152606
title: Letter, KTU 2.67

description: [Text or Publication Number Note:] KTU 2.67, KTU 2.66, KTU2 2.67, KTU2 2.66, KTU3 2.67, KTU3 2.66, CTU 2.67, CTU 2.66, CAT 2.67, CAT 2.66 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.15468/dl.sherpp
title: Occurrence Download

description: A dataset containing 32276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Turdus fuscater Orbigny & Lafresnaye, 1837"
 ]
}

 The dataset includes 32276 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103081-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111152695
title: Letter, KTU 2.68

description: [Text or Publication Number Note:] KTU 2.68, KTU2 2.68, KTU3 2.68, CTU 2.68, CAT 2.68 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.15468/dl.4uznkf
title: Occurrence Download

description: A dataset containing 200028 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eleocharis acicularis (L.) Roem. & Schult., Eleocharis palustris (L.) Roem. & Schult., Eleocharis uniglumis (Link) Schult.)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 200028 records from 488 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0160063-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111152724
title: Letter, KTU 2.70

description: [Text or Publication Number Note:] KTU 2.70, KTU2 2.70, KTU3 2.70, CTU 2.70, CAT 2.70 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.25549/inscriptifact-ouc111152765
title: Letter, KTU 2.68

description: [Text or Publication Number Note:] KTU 2.68, KTU2 2.68, KTU3 2.68, CTU 2.68, CAT 2.68 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.15468/dl.f7zr6u
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plesiops thysanopterus Mooi, 1995"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060954-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111152653
title: Letter; scribal exercise?, KTU 2.71

description: [Text or Publication Number Note:] KTU 2.71, KTU2 2.71, KTU3 2.71, CTU 2.71, CAT 2.71 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.25549/inscriptifact-ouc111153077
title: List (PNs), KTU 4.37

description: [Text or Publication Number Note:] KTU 4.37, CTA 105, KTU2 4.37, KTU3 4.37, CTU 4.37, CAT 4.37 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.15468/dl.m4czsj
title: Occurrence Download

description: A dataset containing 973137 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 973137 records from 1731 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0191967-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8kg3eb
title: Occurrence Download

description: A dataset containing 8074 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hericium erinaceus (Bull.) Pers.",
 "Year 2015-2025"
 ]
}

 The dataset includes 8074 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008248-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2jcewc
title: Occurrence Download

description: A dataset containing 24603 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panicum capillare L.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 24603 records from 413 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008249-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/vdm4-k186
title: Replication Data for: Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking

description: Integrating multiple (sub-)systems is essential to create advanced Information Systems. Difficulties mainly arise when integrating dynamic environments, e.g., the integration at design time of not yet existing services. This has been traditionally addressed using a registry that provides the API documentation of the endpoints. Large Language Models (LLMs) have shown to be capable of automatically creating system integrations (e.g., as service composition) based on this documentation but require concise input due to input token limitations, especially regarding comprehensive API descriptions. Currently, it is unknown how best to preprocess these API descriptions. In the present work, we (i) analyze the usage of Retrieval Augmented Generation (RAG) for endpoint discovery and the chunking, i.e., preprocessing, of state-of-practice OpenAPIs to reduce the input token length while preserving the most relevant information. To further reduce the input token length for the composition prompt and improve endpoint retrieval, we propose (ii) a Discovery Agent that only receives a summary of the most relevant endpoints and retrieves specification details on demand. We evaluate RAG for endpoint discovery using (iii) a proposed novel service discovery benchmark SOCBench-D representing a general setting across numerous domains and the real-world RestBench benchmark, first, for the different chunking possibilities and parameters measuring the endpoint retrieval accuracy. Then, we assess the Discovery Agent using the same test data set. The prototype shows how to successfully employ RAG for endpoint discovery to reduce the token count. Our experiments show that endpoint-based approaches outperform naive chunking methods for preprocessing. Relying on an agent significantly improves precision while being prone to decrease recall, disclosing the need for further reasoning capabilities.
DOI: 10.6084/m9.figshare.28557374
title: Data484.sav

description: This data is related to a study modelling the relationship between ideal L2 self and classroom social climate as exogenous variables and foreign language enjoyment as a mediator, with sociability functioning as a moderator in the context of Iranian high school students.
DOI: 10.6084/m9.figshare.28557374.v1
title: Data484.sav

description: This data is related to a study modelling the relationship between ideal L2 self and classroom social climate as exogenous variables and foreign language enjoyment as a mediator, with sociability functioning as a moderator in the context of Iranian high school students.
DOI: 10.15468/dl.72qbqg
title: Occurrence Download

description: A dataset containing 109641 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hydrocharis morsus-ranae L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 109641 records from 503 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008316-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbnrgh
title: Occurrence Download

description: A dataset containing 150631541 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Oceania",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 150631541 records from 2991 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008244-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0062163.10fu
title: SH0062163.10FU

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/sh0062164.10fu
title: SH0062164.10FU

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/sh0062165.10fu
title: SH0062165.10FU

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/sh0062166.10fu
title: SH0062166.10FU

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/sh0062167.10fu
title: SH0062167.10FU

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/sh0062168.10fu
title: SH0062168.10FU

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/sh0062169.10fu
title: SH0062169.10FU

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/sh0062170.10fu
title: SH0062170.10FU

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/sh0062171.10fu
title: SH0062171.10FU

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/sh0062172.10fu
title: SH0062172.10FU

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.