cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc111154943
title: Record (persons, transfer of land holdings), KTU 4.222

description: [Text or Publication Number Note:] KTU 4.222, KTU2 4.222, KTU3 4.222, CTU 4.222, CAT 4.222 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.25549/inscriptifact-ouc111156120
title: Record (quantities of copper owed by craftsmen and individuals), KTU 4.310

description: [Text or Publication Number Note:] KTU 4.310, KTU2 4.310, KTU3 4.310, CTU 4.310, CAT 4.310 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.15468/dl.qz3vs4
title: Occurrence Download

description: A dataset containing 84111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Costa Rica",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 84111 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0192354-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111156083
title: List (persons, some of them with their respective heirs), KTU 4.311

description: [Text or Publication Number Note:] KTU 4.311, KTU2 4.311, KTU3 4.311, CTU 4.311, CAT 4.311 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.25549/inscriptifact-ouc111156455
title: List (towns owning large landed estates), KTU 4.348

description: [Text or Publication Number Note:] KTU 4.348, KTU2 4.348, KTU3 4.348, CTU 4.348, CAT 4.348 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.15468/dl.cgfyaf
title: Occurrence Download

description: A dataset containing 266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tamias bulleri J.A.Allen, 1889",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 266 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009533-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111156121
title: List (persons, some of them with their respective heirs), KTU 4.311

description: [Text or Publication Number Note:] KTU 4.311, KTU2 4.311, KTU3 4.311, CTU 4.311, CAT 4.311 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.15468/dl.c4bqyr
title: Occurrence Download

description: A dataset containing 11532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Calycanthus floridus L., Elymus hispidus (Opiz) Melderis, Spartina versicolor E.Fabre, Bowlesia incana Ruiz & Pav.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11532 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0192358-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111156127
title: Record, KTU 4.312

description: [Text or Publication Number Note:] KTU 4.312, KTU2 4.312, KTU3 4.312, CTU 4.312, CAT 4.312 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.25549/inscriptifact-ouc111154386
title: Record (royal servicemen), KTU 4.173

description: [Text or Publication Number Note:] KTU 4.173, KTU2 4.173, KTU3 4.173, CTU 4.173, CAT 4.173 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.15468/dl.grfc7a
title: Occurrence Download

description: A dataset containing 11250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bowlesia incana Ruiz & Pav., Persicaria bistorta Linnaeus, 1753, Fatoua villosa (Thunb.) Nakai, Onopordum illyricum L.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11250 records from 243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0192361-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111154307
title: Record (royal servicemen), KTU 4.174

description: [Text or Publication Number Note:] KTU 4.174, KTU2 4.174, KTU3 4.174, CTU 4.174, CAT 4.174 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.25549/inscriptifact-ouc111154256
title: Record (quantities of barley[?] for individuals/workers), KTU 4.175

description: [Text or Publication Number Note:] KTU 4.175, KTU2 4.175, KTU3 4.175, CTU 4.175, CAT 4.175 ❧ [Excavation Description:] Found during excavations at Ras Shamra. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧
DOI: 10.15468/dl.tcbusx
title: Occurrence Download

description: A dataset containing 24364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-170 -57,-32 -57,-32 70,-170 70,-170 -57))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chiroptera",
 "Year 2018-2022"
 ]
}

 The dataset includes 24364 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0192368-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1061578.10fu
title: SH1061578.10FU

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/sh1061579.10fu
title: SH1061579.10FU

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/sh1061582.10fu
title: SH1061582.10FU

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/sh1061584.10fu
title: SH1061584.10FU

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/sh1061585.10fu
title: SH1061585.10FU

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/sh1061586.10fu
title: SH1061586.10FU

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/sh1061587.10fu
title: SH1061587.10FU

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: 10.15468/dl.a82nys
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Occurrence evidence",
 "TaxonKey is Hydrangea aspera Buch.-Ham. ex D.Don"
 ]
}

 The dataset includes 65 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005442-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5khz2h
title: Occurrence Download

description: A dataset containing 487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Viburnum furcatum Blume ex Hook.fil. & Thomson",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 487 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005443-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25850/nioz/7b.b.ug
title: SIBES dataset

description: Here, we present SIBES-data on median grain size (micrometer) and mud content (%) of sediment, and abundances (#) and biomass (g) of benthic invertebrate found at sampling stations on intertidal mudflats of the Dutch Wadden Sea. SIBES stands for Synoptic Intertidal BEnthic Survey and is a long-term ecological time-series performed by NIOZ. It is aimed at understanding ecological processes and sediment dynamics of intertidal mudflats related to benthic invertebrates. Details of the sampling method, laboratory protocols and data curation can be found in the accompanying paper in the journal "Scientific Data" (https://doi.org/10.1038/s41597-025-04540-9). In summary, roughly 4,500 stations are sampled yearly from 2008 and onwards. The most recent 3 years are under embargo, but available upon request to the corresponding author. Samples were collected on a 500 m grid and on randomly located stations in the months June to October. Stations were not sampled at the same dates across years. Sampling stations were visited by foot during low tide and by boat during high tide. At each site sampled by boat, two cores were taken to a depth of ~25 cm (combined area of 0.0173 m2). Samples were sieved on a 1 mm round mesh in the field. After sieving, large bivalves were separated from the other species and frozen at -20 degrees Celsius to allow for easier process in subsequent laboratory analysis. From the remaining sample, all benthic invertebrates were collected and preserved at a 4% formaldehyde solution. Sediment samples were taken with a small core with a diameter of 33 mm from the surface of the inter-tidal flats to a depth of 4 cm and then frozen at -20 degrees C. In the laboratory, organisms were identified and counted and their biomass determined as ash-free dry-mass (AFDM). Sediment samples were freeze-dried and grain size distributions measured with a particle size analyser. For further details concerning methods, processing, data curation, analyses and R-scripts, we refer to the accompanying paper. When using these data, please cite that paper (https://doi.org/10.1038/s41597-025-04540-9). An R-library with examples of analysing and plotting the data is provided online at https://github.com/allertbijleveld/sibes. In sharing these data, we hope to enhance collaborations and understanding of the impact of various pressures on macrozoobenthic invertebrates, sediment composition, food webs, the ecosystem, and biodiversity in the Wadden Sea and other intertidal habitats.
DOI: 10.15468/dl.fhdh27
title: Occurrence Download

description: A dataset containing 122035 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is BLS Lichen Database: Wales 1650-2016"
 ]
}

 The dataset includes 122035 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020657-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twpm76
title: Occurrence Download

description: A dataset containing 121501 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is MSB Fish Collection (Arctos)"
 ]
}

 The dataset includes 121501 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020654-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3mcemz
title: Occurrence Download

description: A dataset containing 122464 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Michigan State University"
 ]
}

 The dataset includes 122464 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020656-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/g69dctrybk.1
title: EEG Data for Condition Classification: Social Media Content and Pauli Test as Stimuli

description: EEG data comes from stimulation using three different conditions, namely relaxation, focus and distraction. This condition is stimulated by the activity of watching social media content and taking cognitive tests, this is a condition that is related to the current situation where the use of social media is massive. The research we conducted on 5 respondents using Muse 2 Headband Sensing EEG for recording for 3 minutes with a sampling rate of 256 Hz was to find out how the stimulus affected changes in the respondent's condition and could be classified based on their condition.
DOI: 10.15468/dl.adarer
title: Occurrence Download

description: A dataset containing 3176 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Erigeron humilis Graham)"
 ]
}

 The dataset includes 3176 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011689-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/s3s6dfg56k.1
title: Data for: SOCIOBIOECONOMY AND SOCIAL TECHNOLOGY IN THE AMAZON REGION: AN INTEGRATED FRAMEWORK PROPOSITION published by RAC-Revista de Administração Contemporânea

description: Objective: to propose an analytical framework that integrates the social technology approach into the concept of sociobioeconomy, as its compatible technological aspect, based on the concept of social technological system. Theoretical approach: The articulation of sociobioeconomy concept with that of social technological system is developed. The concept of sociobioeconomy is discussed in light of the three predominant views of bioeconomy (biotechnological, bioresources and bioecological), with the proposition of a conceptual-analytical framework. The social technological system concept is revised to integrate, in a transversal way, with sociobioeconomy. The framework combines dimensions of the social technological system (sociopolitical-cognitive; territorial and socioeconomic sustainability) with the dimensions of sociobioeconomy (social, bio-territorial and economic). Method: The proposed framework was applied in a case study of a potential social technological system in sociobioeconomy activities in the rubber production chain in the Amazon. Data collection included documentary research, interviews and a technical visit. Results: The case study presented the integration of three solutions based on social technology, constituting several properties of a social technological system. The social technological system demonstrated dialogued with the dimensions proposed for sociobioeconomy, proving to be compatible with it. The identification of evidence in the case of several properties of the framework allowed us to consider an initial analytical feasibility for the proposed framework. Conclusions: In conceptual terms, the framework has advanced the analytical detailing of the sociobioeconomy, including its technological aspect, proposing its approximation with social technology. In practical terms, the framework can assist in the development of sociobioeconomy initiatives.
DOI: 10.15468/dl.bmscqg
title: Occurrence Download

description: A dataset containing 5108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "TaxonKey is Castanopsis (D.Don) Spach"
 ]
}

 The dataset includes 5108 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011693-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/665ktwc9bt.1
title: tokyodatasets

description: Time-series datasets for assessing short-term association between ambient temperature and influenza incidence in Tokyo, Japan
DOI: 10.17632/t32vp6ysn3.1
title: 16S rDNA amplicon sequencing raw data

description: 16S rDNA amplicon sequencing machine raw data
DOI: 10.17632/665ktwc9bt.2
title: tokyodatasets

description: Time-series datasets for assessing short-term association between ambient temperature and influenza incidence in Tokyo, Japan
DOI: 10.15468/dl.m7w3mq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Theragra finnmarchica Koefoed, 1956",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011694-241126133413365/datasets/export for details.