cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0095718.10fu
title: SH0095718.10FU

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: 10.13145/bacdive103649.20241212.9.2
title: Rhodococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive103649.20251217.10
title: Rhodococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0095719.10fu
title: SH0095719.10FU

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: 10.13145/bacdive103650.20241212.9.2
title: Rhodococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive103650.20251217.10
title: Rhodococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0095720.10fu
title: SH0095720.10FU

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: 10.13145/bacdive103651.20241212.9.2
title: Rhodococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0095721.10fu
title: SH0095721.10FU

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: 10.13145/bacdive103651.20251217.10
title: Rhodococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive103652.20241212.9.2
title: Rhodococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0095722.10fu
title: SH0095722.10FU

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: 10.13145/bacdive103652.20251217.10
title: Rhodococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive103653.20241212.9.2
title: Rhodococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0095723.10fu
title: SH0095723.10FU

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: 10.13145/bacdive103653.20251217.10
title: Rhodococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive103654.20241212.9.2
title: Rhodococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0095724.10fu
title: SH0095724.10FU

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: 10.25549/inscriptifact-ouc111292345
title: Psalm 11:1-4, DSS F.199

description: [Text Description:] DSS F.199; gratitude for safety provided by the Lord ❧ [Text or Publication Number Note:] MOTB.SCR.000121; DSS F.Ps3; DSS F.199 ❧ [Medium:] Parchment ❧ [Script Note:] Jewish ❧ [Physical Object Description:] Two pieces slightly attached below the substrate. Leather appears dark brown and black with some lighter patches. ❧ [Physical Object Note:] Fragment measures 2.3 x 1.38cm. ❧ [Physical Object Note:] Letters are still visible in natural light. Parts of four lines preserved. ❧
DOI: 10.15468/dl.f7w7fj
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heremites septemtaeniatus (Reuss, 1834)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 62 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063170-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ykmzpn
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "MediaType is Image",
 "Geometry POLYGON((-127 23,-44 23,-44 52,-127 52,-127 23))",
 "HasCoordinate is true",
 "TaxonKey is Ilex cassine L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 159 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065139-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111292392
title: Psalm 11:1-4, DSS F.199

description: [Text Description:] DSS F.199; gratitude for safety provided by the Lord ❧ [Text or Publication Number Note:] MOTB.SCR.000121; DSS F.Ps3; DSS F.199 ❧ [Medium:] Parchment ❧ [Script Note:] Jewish ❧ [Physical Object Description:] Two pieces slightly attached below the substrate. Leather appears dark brown and black with some lighter patches. ❧ [Physical Object Note:] Fragment measures 2.3 x 1.38cm. ❧ [Physical Object Note:] Letters are still visible in natural light. Parts of four lines preserved. ❧
DOI: 10.25549/inscriptifact-ouc111293472
title: Daniel 10:18-20, DSS F.200

description: [Text Description:] DSS F.200; cosmic battle between angelic figures ❧ [Text or Publication Number Note:] MOTB.SCR.003170; DSS F.Dan6; DSS F.200 ❧ [Medium:] Parchment ❧ [Script Note:] Jewish ❧ [Physical Object Description:] Dark brown fragment with rough surface, lighter parts where wear has occurred. ❧ [Physical Object Note:] Fragment measures 2.5 x 1.9cm. ❧ [Physical Object Note:] Remnants of three lines. ❧
DOI: 10.15468/dl.gassu9
title: Occurrence Download

description: A dataset containing 7980000 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Japan"
 ]
}

 The dataset includes 7980000 records from 2039 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070862-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.9a3fb0
title: FAIRsharing record for: Archive of Formal Proofs
title: AFP

description: This FAIRsharing record describes:  The Archive of Formal Proofs is a collection of proof libraries, examples, and larger scientific developments, mechanically checked in the theorem prover Isabelle. It is organized in the way of a scientific journal. Submissions are refereed.
The archive repository is hosted on Heptapod to provide easy free access to archive entries. The entries are tested and maintained continuously against the current stable release of Isabelle. Older versions of archive entries will remain available.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.15468/dl.j5g7h7
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Edraianthus graminifolius (L.) A.DC. ex Meisn., Edraianthus kitaibelii var. mediterraneus Wettst., Hedreanthus croaticus Wettst., Edraianthus albanicus subsp. ic, Edraianthus jugoslavicus Lakušic, Edraianthus graminifolius subsp. coeruleus Janch., Edraianthus kitaibelii var. alpinus Wettst., Edraianthus graminifolius var. elatus Wettst., Edraianthus graminifolius subsp. albanicus Degen & Kümmerle, Protoedraianthus vesovicii subsp. ic, Campanula graminifolia L., Edraianthus graminifolius subsp. caeruleus Janch., Edraianthus kitaibelii var. subalpinus Wettst., Edraianthus vesovicii Lakušic, Hedreanthus graminfolius Wettst., Edraianthus zogovicii subsp. ic, Edraianthus vesovicii subsp. ic, Edraianthus montenegrinus Horák, Edraianthus kitaibelii f. grandis H.Lindb., Wahlenbergia kitaibelii A.DC., Edraianthus zogovicii Lakušic, Edraianthus graminifolius f. baldaccii Janch., Edraianthus graminifolius f. ginzbergeri H.Lindb., Edraianthus graminifolius f. longibracteata Malos, 1972, Edraianthus croaticus A.Kern., Edraianthus graminifolius var. pusillus Wettst., Edraianthus jugoslavicus subsp. ic, Campanula graminifolia var. setifolia Vuk., Hedreanthus kitaibelii Wettst., Edraianthus siculus Strobl, Campanula graminifolia var. minor Roth, Edraianthus graminifolius f. mediterraneus (Wettst.) Hayek, Edraianthus graminifolius f. alpinus (Wettst.) Janch., Edraianthus albanicus (Degen & Kümmerle) Lakušic, Wahlenbergia graminifolia (L.) A.DC., Campanopsis graminifolia (L.) Kuntze, Pilorea graminifolia (L.) Raf., Edraianthus graminifolius (L.) A.DC., Edraianthus graminifolius f. subalpinus (Wettst.) Janch., Protoedraianthus vesovicii (Lakušic) Lakušic, Edraianthus graminifolius f. montenegrinus (Horák) Hayek, Edraianthus kitaibelii (A.DC.) A.DC., Campanopsis kitaibelii (A.DC.) Kuntze, Edraianthus graminifolius var. ginzbergeri (H.Lindb.) Hayek, Wahlenbergia croatica (A.Kern.) Vatke, Campanula croatica (A.Kern.) A.Kern., Edraianthus kitaibelii subsp. croaticus (A.Kern.) Nyman, Edraianthus graminifolius subsp. siculus (Strobl) Lakušic ex Greuter & Burdet, Edraianthus graminifolius var. siculus (Strobl) Nyman, Edraianthus graminifolius subsp. siculus (Strobl) Laku)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 196 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028093-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.d95ece
title: FAIRsharing record for: Encyclopedia of Graphs
title: null

description: This FAIRsharing record describes:  Encyclopedia of Graphs is an online encyclopedia of graph collections aiming to help researchers find and use data about different families of graphs. It has been created as a part of the ESF funded GReGAS project combining 16 top scientific teams from all over the world trying to develop a coherent theory of graph representations.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.15468/dl.84pyvf
title: Occurrence Download

description: A dataset containing 304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Terminalia chebula Retz."
 ]
}

 The dataset includes 304 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028094-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20348/storedb/1191/1280
title: Social Discount Rate model
title: Social Discount Rate model

description: This research systematically identifies, examines and compares two primary methodologies for the social discount rate (SDR) calculation: the social rate of time preference (SRTP) and the social opportunity cost (SOC). The SRTP, grounded in the Ramsey formula, emerges as an advantageous approach for assessing 
infrastructure with a long useful life. Indeed, its effective integration of economic and societal indicators contributes to more reliable long-term estimations by governmental bodies. However, challenges in SRTP implementation exist, primarily due to a lack of consensus on input values, leading to potential inconsistencies in practical applications. In contrast, the SOC methodology faces drawbacks; it lacks a welldefined estimation protocol and fails to account for consumption displacement, which hampers its 
recommendation within guidelines. Particular concerns about the applicability of SOC arise from the several differences between public and private sectors, undermining its reliability.
This research enriches the understanding of the SDR, enhancing clarity about its estimations and providing valuable insights for practitioners and policymakers. By presenting the advantages and disadvantages of 
each method, it can facilitate the improvement of current methods or the development of new frameworks. Ultimately, this research fosters more informed decision-making and strategic practice within the realm of SDR computation.
description: null
DOI: 10.25504/fairsharing.1d5aa1
title: FAIRsharing record for: FindStat
title: null

description: This FAIRsharing record describes:  This collaborative project is a database of combinatorial statistics and maps on combinatorial collections and a search engine, identifying your data as the composition of known maps and statistics.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.34820/fk2/oc9u5m/ovb4jc
title: M8 - SEO Startegy.pdf

description: website perguruan tinggi perlu melakukan strategi seo yang baik, agar semua informasi umum dapat selalu terindeks dengan baik oleh mesin pencari, sehingga pengguna yang sedang mencari data selalu bisa mendapatkan informasi dari website perguruan tinggi
DOI: 10.34820/fk2/oc9u5m/gyn3u7
title: google-analytics-acquisition-alltraffic-sourceMedium-googleOrganic-Discover.png

description: hasil pengelolaan website yang baik, maka semua konten di domain website kita, akan terindeks dengan baik oleh semua subdomain TDL negara berbeda dari Google
DOI: 10.15468/dl.r5p77r
title: Occurrence Download

description: A dataset containing 3420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Nassella pulchra (Hitchc.) Barkworth"
 ]
}

 The dataset includes 3420 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028095-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25504/fairsharing.39b485
title: FAIRsharing record for: Network Repository
title: null

description: This FAIRsharing record describes:  The first interactive data and network data repository with real-time visual analytics. Network repository is not only the first interactive repository, but also the largest network repository with thousands of donations in 30+ domains (from biological to social network data). This large comprehensive collection of network graph data is useful for making significant research findings as well as benchmark network data sets for a wide variety of applications and domains (e.g., network science, bioinformatics, machine learning, data mining, physics, and social science) and includes relational, attributed, heterogeneous, streaming, spatial, and time series network data as well as non-relational machine learning data. All graph data sets are easily downloaded into a standard consistent format. We also have built a multi-level interactive graph analytics engine that allows users to visualize the structure of the network data as well as macro-level graph data statistics as well as important micro-level network properties of the nodes and edges.

description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.