cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34740/kaggle/dsv/10377256
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.15468/dl.653wky
title: Occurrence Download

description: A dataset containing 47891 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Portuguese Moth Recording Scheme"
 ]
}

 The dataset includes 47891 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056900-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14601221
title: LLM-Evaluated Dataset of PubMed Abstracts for Relevance to Semantic Search in Medical Literature Reviews

description: This dataset contains structured insights from 16,128 PubMed abstracts, evaluated by a large language model (LLM) to assess their relevance to a research question and hypothesis exploring the impact of LLM-enhanced semantic searches on medical literature reviews. The dataset was created using the code available at https://doi.org/10.5281/zenodo.14601207, leveraging OpenAI's API Structured Output functionality to generate detailed and consistent evaluations.

The dataset was generated using PubMed titles and abstracts retrieved via the PubMed API. Details of the API endpoints and usage can be found in the referenced code repository at https://doi.org/10.5281/zenodo.14601207.

Evaluation Framework





Research Question:"How would the outcomes or insights of selected medical publications have been influenced if LLM-enhanced semantic search had been used to expand search terms and capture broader semantic matches during their literature reviews?"




Research Hypothesis:"LLM-enhanced semantic search will uncover more semantically relevant and contextually appropriate studies than traditional lexical search methods in medical literature reviews, thereby providing deeper insights and potentially altering the conclusions of previous research."



Given the inherent variability of LLM responses, future analyses using the provided code and methodology may yield different results.



Dataset Details





Fields Included:



Search Term: Manually defined search terms used in PubMed.

PMID: Unique identifier for each PubMed article (retrieved from the PubMed API).

Is Relevant: Boolean field indicating the relevance of the abstract to the research question (determined by the LLM).

Estimated Percent Relevant: A percentage estimate of the abstract's relevance (determined by the LLM).

Relevance Reason: A detailed explanation of the relevance assessment (determined by the LLM).

Article URL: Direct link to the PubMed article (retrieved from the PubMed API).





Creation Date: 2024/08/30





Methodology



PubMed article titles and abstracts were concatenated and processed by OpenAI GPT-4o via the Structured Output functionality.

The LLM was prompted with the research question, hypothesis, and the article title and abstract text to evaluate each abstract for relevance and generate structured outputs for the dataset.




Use Cases

This dataset can be used to:



Analyze the role of LLM-enhanced semantic searches in biomedical literature reviews.

Validate AI-generated relevance assessments against traditional methods.

Train and evaluate other AI models using structured biomedical data.




Acknowledgments

This dataset demonstrates the utility of LLMs in evaluating biomedical literature while highlighting the potential variability in AI-generated insights. By combining open code and data, it supports reproducibility, transparency, and collaboration in open science.
DOI: 10.5281/zenodo.14601222
title: LLM-Evaluated Dataset of PubMed Abstracts for Relevance to Semantic Search in Medical Literature Reviews

description: This dataset contains structured insights from 16,128 PubMed abstracts, evaluated by a large language model (LLM) to assess their relevance to a research question and hypothesis exploring the impact of LLM-enhanced semantic searches on medical literature reviews. The dataset was created using the code available at https://doi.org/10.5281/zenodo.14601207, leveraging OpenAI's API Structured Output functionality to generate detailed and consistent evaluations.

The dataset was generated using PubMed titles and abstracts retrieved via the PubMed API. Details of the API endpoints and usage can be found in the referenced code repository at https://doi.org/10.5281/zenodo.14601207.

Evaluation Framework





Research Question:"How would the outcomes or insights of selected medical publications have been influenced if LLM-enhanced semantic search had been used to expand search terms and capture broader semantic matches during their literature reviews?"




Research Hypothesis:"LLM-enhanced semantic search will uncover more semantically relevant and contextually appropriate studies than traditional lexical search methods in medical literature reviews, thereby providing deeper insights and potentially altering the conclusions of previous research."



Given the inherent variability of LLM responses, future analyses using the provided code and methodology may yield different results.



Dataset Details





Fields Included:



Search Term: Manually defined search terms used in PubMed.

PMID: Unique identifier for each PubMed article (retrieved from the PubMed API).

Is Relevant: Boolean field indicating the relevance of the abstract to the research question (determined by the LLM).

Estimated Percent Relevant: A percentage estimate of the abstract's relevance (determined by the LLM).

Relevance Reason: A detailed explanation of the relevance assessment (determined by the LLM).

Article URL: Direct link to the PubMed article (retrieved from the PubMed API).





Creation Date: 2024/08/30





Methodology



PubMed article titles and abstracts were concatenated and processed by OpenAI GPT-4o via the Structured Output functionality.

The LLM was prompted with the research question, hypothesis, and the article title and abstract text to evaluate each abstract for relevance and generate structured outputs for the dataset.




Use Cases

This dataset can be used to:



Analyze the role of LLM-enhanced semantic searches in biomedical literature reviews.

Validate AI-generated relevance assessments against traditional methods.

Train and evaluate other AI models using structured biomedical data.




Acknowledgments

This dataset demonstrates the utility of LLMs in evaluating biomedical literature while highlighting the potential variability in AI-generated insights. By combining open code and data, it supports reproducibility, transparency, and collaboration in open science.
DOI: 10.5281/zenodo.13913756
title: Neogene

description: Files contain data used in a paper "Matrix bandwidth reduction for interpolation with splines in tension", where a node numbering scheme to reduce a bandwidth is described. Each file S_nxxny.m contains a square matrix S with n = (nx+4)*(ny+4) rows and columns that was created to calculate a 2D grid with nx columns and ny rows. Matrix is a left side of a system of linear equations that arises in Smith and Wessel method [1] when a tension parameter is equal to 0. Each file p_nxxny.m contains a permutation vector p with 1 row and n columns such that S(p, p) has its elements closer to the diagonal than S.

Repository contains a program generating a node numbering for different nx, ny.

1. Smith, Walter & Wessel, Paul. (1990). Gridding with Continuous Curvature Splines in Tension. Geophysics. 55. 293-305.
DOI: 10.5281/zenodo.13913757
title: Neogene

description: Files contain data used in a paper "Matrix bandwidth reduction for interpolation with splines in tension", where a node numbering scheme to reduce a bandwidth is described. Each file S_nxxny.m contains a square matrix S with n = (nx+4)*(ny+4) rows and columns that was created to calculate a 2D grid with nx columns and ny rows. Matrix is a left side of a system of linear equations that arises in Smith and Wessel method [1] when a tension parameter is equal to 0. Each file p_nxxny.m contains a permutation vector p with 1 row and n columns such that S(p, p) has its elements closer to the diagonal than S.

Repository contains a program generating a node numbering for different nx, ny.

1. Smith, Walter & Wessel, Paul. (1990). Gridding with Continuous Curvature Splines in Tension. Geophysics. 55. 293-305.
DOI: 10.5281/zenodo.14601271
title: gfs20250105v1
DOI: 10.5281/zenodo.14601272
title: gfs20250105v1
DOI: 10.15468/dl.u95cjs
title: Occurrence Download

description: A dataset containing 112177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-10.01677 43.19901,-8.97407 42.06369,-6.76355 41.62871,-8.22333 38.76217,-7.97308 36.8511,-7.0555 36.04593,-4.34449 35.77569,3.03782 38.95704,3.87198 42.77186,0.07656 42.89421,-2.71788 44.07436,-9.34944 44.43284,-10.01677 43.19901))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Eucalyptus globulus subsp. globulus, Eucalyptus camaldulensis Denham, Eucalyptus goniocalyx var. nitens H.Deane & Maiden, Eucalyptus viminalis Hook., Eucalyptus gomphocephala A.Cunn., Ailanthus altissima (Mill.) Swingle, Pseudotsuga menziesii (Mirb.) Franco, Robinia pseudoacacia L., Gleditsia triacanthos L., Acacia dealbata Link, Sophora japonica L., Quercus rubra L., Acer negundo L., Cupressus arizonica Greene, Elaeagnus angustifolia L., Aesculus hippocastanum L., Platanus ×hispanica Mill. ex Münchh., Pinus radiata D.Don, Chamaecyparis lawsoniana (A.Murray bis) Parl., Ligustrum lucidum W.T.Aiton, Populus ×canadensis Moench, Ulmus pumila L., Acacia melanoxylon R.Br., Cedrus atlantica (Endl.) Manetti ex Carriere, Cupressus sempervirens L., Cedrus deodara (Lamb.) G.Don, Cedrus libani A.Rich., Hesperocyparis lusitanica (Mill.) Bartel, Hesperocyparis macrocarpa (Hartw. ex Gordon) Bartel, Larix decidua Mill., Larix leptolepis (Siebold & Zucc.) Endl., Larix ×eurolepis A.Henry, Picea abies Degen, Salix babylonica L.)"
 ]
}

 The dataset includes 112177 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056901-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14036176
title: Supplementary data for: "Emergence of Potential Anadromous Arctic Charr (Salvelinus alpinus) Habitats in the Svalbard Archipelago after the End of the Little Ice Age"

description: Supplementary data for: “Emergence of Potential Anadromous Arctic Charr (Salvelinus alpinus) Habitats in the Svalbard Archipelago after the End of the Little Ice Age” 

https://doi.org/10.1029/2024JG008367

 

Abstract: Glaciers in the Svalbard Archipelago are retreating rapidly in response to climate change. The retreat of glaciers leads to alteration of the hydrological and thermal regimes of the freshwater ecosystems. In this delicate context, existing anadromous Arctic charr (Salvelinus alpinus) populations are at severe risk and might disappear from the archipelago. However, the retreat of glaciers also promotes the formation of new lake systems that might be suitable for colonization by anadromous Arctic charr. These systems may provide a substantial opportunity for the establishment of new populations of anadromous charr, potentially buffering the decline in existing systems. To date, there is a lack of information on the number of recently deglaciated lake systems that have emerged since the end of the Little Ice Age (ca. 1920) that might be suitable for charr colonization. Therefore, the goal of this paper is to provide an initial assessment of the number of these lakes. To this end, and in accordance with previously published research, this study assesses whether a recently deglaciated lake system is potentially open to colonization based on gradient, river length, and lake surface area. Depending on the applied threshold (four in total), up to 24 lake systems are classified as potentially open to colonization by anadromous Arctic charr, with Spitsbergen emerging as a colonization hotspot. The findings of this paper might serve as basis for new studies and for implementing proactive management and conservation strategies to protect anadromous charr populations.

 

Data description:

 

Recently_Deglaciated_Systems [EPGS: 25833] - Shapefile containing the information of 168 lake systems that emerged between 1936/1938 and 2020 in the Svalbard Archipelago

ID: Identification number

X: Easting

Y: Northing

Fall?: Presence of the lake system in fall (with dates when the lake was visible in satellite images)

Spring?: Presence of the lake system in spring (with dates when the lake was visible in satellite images)

Info: information regarding the type of system (i.e., larger lake surrounded by lakes and ponds or system of multiple lakes and ponds). If blank, lake is considered single.

 

Analysis [EPGS: 25833] - Shapefile containing the analysis of 125 lake systems with connection to the ocean.

ID: Identification number

X: Easting

Y: Northing

Surface (km2): Surface of the connected recently deglaciated lake system (km2)

Elevation (m): Elevation of the outlet (m)

Length (m): River length (m)

Slope (%): Slope of the river (%)

SV1: Result of the classification with SV1

SV2: Result of the classification with SV2

HY: Result of the classification with HY

NO: Result of the classification with NO
DOI: 10.5281/zenodo.14036175
title: Supplementary data for: "Emergence of Potential Anadromous Arctic Charr (Salvelinus alpinus) Habitats in the Svalbard Archipelago after the End of the Little Ice Age"

description: Supplementary data for: “Emergence of Potential Anadromous Arctic Charr (Salvelinus alpinus) Habitats in the Svalbard Archipelago after the End of the Little Ice Age” 

https://doi.org/10.1029/2024JG008367

 

Abstract: Glaciers in the Svalbard Archipelago are retreating rapidly in response to climate change. The retreat of glaciers leads to alteration of the hydrological and thermal regimes of the freshwater ecosystems. In this delicate context, existing anadromous Arctic charr (Salvelinus alpinus) populations are at severe risk and might disappear from the archipelago. However, the retreat of glaciers also promotes the formation of new lake systems that might be suitable for colonization by anadromous Arctic charr. These systems may provide a substantial opportunity for the establishment of new populations of anadromous charr, potentially buffering the decline in existing systems. To date, there is a lack of information on the number of recently deglaciated lake systems that have emerged since the end of the Little Ice Age (ca. 1920) that might be suitable for charr colonization. Therefore, the goal of this paper is to provide an initial assessment of the number of these lakes. To this end, and in accordance with previously published research, this study assesses whether a recently deglaciated lake system is potentially open to colonization based on gradient, river length, and lake surface area. Depending on the applied threshold (four in total), up to 24 lake systems are classified as potentially open to colonization by anadromous Arctic charr, with Spitsbergen emerging as a colonization hotspot. The findings of this paper might serve as basis for new studies and for implementing proactive management and conservation strategies to protect anadromous charr populations.

 

Data description:

 

Recently_Deglaciated_Systems [EPGS: 25833] - Shapefile containing the information of 168 lake systems that emerged between 1936/1938 and 2020 in the Svalbard Archipelago

ID: Identification number

X: Easting

Y: Northing

Fall?: Presence of the lake system in fall (with dates when the lake was visible in satellite images)

Spring?: Presence of the lake system in spring (with dates when the lake was visible in satellite images)

Info: information regarding the type of system (i.e., larger lake surrounded by lakes and ponds or system of multiple lakes and ponds). If blank, lake is considered single.

 

Analysis [EPGS: 25833] - Shapefile containing the analysis of 125 lake systems with connection to the ocean.

ID: Identification number

X: Easting

Y: Northing

Surface (km2): Surface of the connected recently deglaciated lake system (km2)

Elevation (m): Elevation of the outlet (m)

Length (m): River length (m)

Slope (%): Slope of the river (%)

SV1: Result of the classification with SV1

SV2: Result of the classification with SV2

HY: Result of the classification with HY

NO: Result of the classification with NO
DOI: 10.15468/dl.ayjzhs
title: Occurrence Download

description: A dataset containing 5090 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Peganum harmala L."
 ]
}

 The dataset includes 5090 records from 185 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056902-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4bemwg
title: Occurrence Download

description: A dataset containing 316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Senegal",
 "OccurrenceStatus is Present",
 "TaxonKey is Adansonia digitata L."
 ]
}

 The dataset includes 316 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056903-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pc5fwj
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Krascheninnikovia ceratoides (L.) Gueldenst."
 ]
}

 The dataset includes 136 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056904-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ssrtc
title: Occurrence Download

description: A dataset containing 5622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Xanthium occidentale Bertol., Xanthium chinense Mill.)"
 ]
}

 The dataset includes 5622 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056905-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9mvdv7
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "TaxonKey is Clerodendrum inerme (L.) Gaertn.",
 "Year 1970-2025"
 ]
}

 The dataset includes 150 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056907-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9prac
title: Occurrence Download

description: A dataset containing 50325 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Gastropoda",
 "Country is Italy",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 5000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 50325 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056906-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10377399
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.5281/zenodo.14601282
title: ItAnt Bibliography

description: A bibliography of the languages of Ancient Italy, with particular reference to the languages analysed by the ItAnt Project, released in TEI format, to make it compatible with the EpiDoc standard. For the LOD release, the bibliography is also released in  TTL format, mapped according to FRBRoo/LRMoo, the conceptual model(s) developed by the International Federation of Library Associations and Institutions (IFLA)  and harmonised with CIDOC CRM to provide a semi-formal representation of bibliographical information (see Murano 2024).

This work was carried out in the context of the Project of National Interest "Languages and Cultures of Ancient Italy. Historical Linguistics and Digital Models" (PRIN 2017XJLE8J) funded by the Italian Ministry for Universities and Research (MUR).
DOI: 10.5281/zenodo.14601283
title: ItAnt Bibliography

description: A bibliography of the languages of Ancient Italy, with particular reference to the languages analysed by the ItAnt Project, released in TEI format, to make it compatible with the EpiDoc standard. For the LOD release, the bibliography is also released in  TTL format, mapped according to FRBRoo/LRMoo, the conceptual model(s) developed by the International Federation of Library Associations and Institutions (IFLA)  and harmonised with CIDOC CRM to provide a semi-formal representation of bibliographical information (see Murano 2024).

This work was carried out in the context of the Project of National Interest "Languages and Cultures of Ancient Italy. Historical Linguistics and Digital Models" (PRIN 2017XJLE8J) funded by the Italian Ministry for Universities and Research (MUR).
DOI: 10.15468/dl.3usde3
title: Occurrence Download

description: A dataset containing 51116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Xanthium orientale L."
 ]
}

 The dataset includes 51116 records from 887 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056908-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15245438
title: yTop1-Rpc82 Interaction
DOI: 10.5281/zenodo.15245439
title: yTop1-Rpc82 Interaction
DOI: 10.3535/t6q-cl8-za0
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/606-pkd-nzs
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wz1-zs4-pjz
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pkp-fyy-zth
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jpz-kt8-2h1
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tm0-cm5-qpk
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.egz9qn
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Barbronia weberi (Blanchard, 1897)"
 ]
}

 The dataset's 3 records were derived from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0102364-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/6c9-v6c-fa8
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.