cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5egzze
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cephalopoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-20 -90,-10 -90,-10 -80,-20 -80,-20 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016127-251009101135966/datasets/export for details.
DOI: 10.15468/dl.u6jmah
title: Occurrence Download

description: A dataset containing 30639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-105.10188 25.33084,-103.55396 25.33084,-103.55396 25.95001,-105.10188 25.95001,-105.10188 25.33084))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 30639 records from 256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016129-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.em5qv6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cephalopoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-10 -90,0 -90,0 -80,-10 -80,-10 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016131-251009101135966/datasets/export for details.
DOI: 10.5281/zenodo.17345337
title: LLM4Weather Dataset (Bundle Batch 26) LatBins[85.00~89.00]

description: This dataset contains experimental results from the paper 'LLM4Weather: Global 10-min Meteorological Temporal Super-Resolution via Large Language Models for Data Gap Filling'.

The data includes global meteorological gap-filling outputs at 10-minute resolution. Files are archived per latitude as .tar.gz bundles.
DOI: 10.5281/zenodo.17345338
title: LLM4Weather Dataset (Bundle Batch 26) LatBins[85.00~89.00]

description: This dataset contains experimental results from the paper 'LLM4Weather: Global 10-min Meteorological Temporal Super-Resolution via Large Language Models for Data Gap Filling'.

The data includes global meteorological gap-filling outputs at 10-minute resolution. Files are archived per latitude as .tar.gz bundles.
DOI: 10.15468/dl.ptsqa2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solenogastres)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-90 80,-80 80,-80 90,-90 90,-90 80))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016132-251009101135966/datasets/export for details.
DOI: 10.15468/dl.7x598v
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solenogastres)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-100 80,-90 80,-90 90,-100 90,-100 80))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016133-251009101135966/datasets/export for details.
DOI: 10.15468/dl.suxvex
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cephalopoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((0 -90,10 -90,10 -80,0 -80,0 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016134-251009101135966/datasets/export for details.
DOI: 10.15468/dl.mpeewf
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eriocaulon willdenovianum",
 "Country is Singapore",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016136-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jwyyb8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solenogastres)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-110 80,-100 80,-100 90,-110 90,-110 80))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016135-251009101135966/datasets/export for details.
DOI: 10.15468/dl.kpzgef
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cephalopoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((10 -90,20 -90,20 -80,10 -80,10 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016137-251009101135966/datasets/export for details.
DOI: 10.15468/dl.3t95tt
title: Occurrence Download

description: A dataset listing the 228882 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-130 -24,-30 -24,-30 24,-130 24,-130 -24))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta"
 ]
}

 The dataset's 228882 records were derived from 2730 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016112-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/v8536j99r5.3
title: Qualitative analysis of the reflection of the mathematical dimension of gambling in gaming online content

description: Mathematics is strongly connected to gambling through the mathematical models underlying any game of chance. Mathematics is reflected not only in games’ design/characteristics and their outcomes, but also in gamblers’ perception and knowledge of the mathematics-related facts of gambling – which influence their gambling behavior. The math-indispensability principle applies not only in problem-gambling research, but also in the gambling industry. The structural, informative, strategic, psychological, pathological, and ethical aspects of gambling have been identified to be grounded in the mathematics of games and gambling. In this theoretical framework, research is able to derive concrete norms and criteria to adequately reflect the mathematical dimension of gambling in the communication and texts associated with the gambling industry. These norms and criteria of adequacy will be further communicated to policy and decision makers in both governmental and private sectors, with the recommendation for implementation. Our study aims to evaluate qualitatively the reflection of the mathematical dimension of gambling in the content of gambling websites. This analysis is necessary in order to have an objective and concrete image of the actual state of this matter in the online industry and of the challenges that such research and application would face in the real world of gambling. A minimum number of 600 gambling websites will be reviewed annually for their content in that respect. A statistical analysis will record the presence of the mathematical dimension of gambling and its forms in the content of participating websites, and a qualitative research will analyze and assess the quality of the content with respect to that dimension..
DOI: 10.17632/ckhmn7ytjv
title: MTFormer

description: MTFormer: A Multi-Task Transformer Framework for Robust Cultivated Land Parcel Segmentation across Multi-Source Remote Sensing Scenes.

The complete code will be made available upon the paper's acceptance. The training code has been provided and can be directly run on Windows systems.

The pre-trained weight file (epoch100.pt) has been provided.
DOI: 10.17632/ckhmn7ytjv.1
title: MTFormer

description: MTFormer: A Multi-Task Transformer Framework for Robust Cultivated Land Parcel Segmentation across Multi-Source Remote Sensing Scenes.

The complete code will be made available upon the paper's acceptance. The training code has been provided and can be directly run on Windows systems.

The pre-trained weight file (epoch100.pt) has been provided.
DOI: 10.17632/r6rxpnmzzs
title: Robinia pseudoacacia nectar measurements near Debrecen, Hungary (2023-2024)

description: This dataset contains 24-hour nectar sampling data and corresponding environmental measurements collected from individual flowers of black locust trees (Robinia pseudoacacia L.) between 2023 and 2024 in Hungary.

File name: Robinia_Nectar_23-24_HUN.xlsx

Main Components:

Timestamp & Location
- Date: Exact date and time of sampling (YYYY.mm.dd HH:MM:SS).
- Location: The study site (e.g., "Debrecen, Nagycsere").
- Tree_n: Tree ID being observed.
- Cluster_n: Flower cluster ID.
- Flowernum: Number of flowers on that cluster.
- Flower_n: Flower ID.
- Receptacle: Receptacle colour (Z = Green, P = Red).

Nectar measurements
- Nectarmg: Amount of nectar in mg measured per flower.
- Sugarconc: Sugar concentration of nectar in % (e.g., "35%") per flower.
- Sugarcontent: Estimated sugar value per flower.

Environmental parameters
- Temp: Temperature in °C (e.g., 22.9).
- Hum: Humidity in % (e.g., 51.1).
- Solarrad: Solar radiation in W/m².
- Okta: Cloud cover in oktas (0 = clear).
- Pressure: Atmospheric pressure in hPa.
- Winddir: Wind direction in degrees.
- Windspeed: Wind speed in m/s.
- Synop: Synoptic weather code (NOSIG = No significant change).
- Notes: Hungarian text — e.g., "sok virág" = "many flowers".
- S: Sky condition (e.g., sunny).
- R24, H_R24: Rainfall over past 24h (R24 = near the study site, H_R24 = nearest meteorological station).

Additional information
Nearest meteorological station WMO number: 64711.
Meteorological measurements were recorded by a local micrometeorological station located at the experimental site in Debrecen, Nagycsere.


This work has been implemented by the National Multidisciplinary Laboratory for Climate Change (RRF-2.3.1-21-2022-00014) project within the framework of Hungary's National Recovery and Resilience Plan supported by the Recovery and Resilience Facility of the European Union.
DOI: 10.17632/r6rxpnmzzs.1
title: Robinia pseudoacacia nectar measurements near Debrecen, Hungary (2023-2024)

description: This dataset contains 24-hour nectar sampling data and corresponding environmental measurements collected from individual flowers of black locust trees (Robinia pseudoacacia L.) between 2023 and 2024 in Hungary.

File name: Robinia_Nectar_23-24_HUN.xlsx

Main Components:

Timestamp & Location
- Date: Exact date and time of sampling (YYYY.mm.dd HH:MM:SS).
- Location: The study site (e.g., "Debrecen, Nagycsere").
- Tree_n: Tree ID being observed.
- Cluster_n: Flower cluster ID.
- Flowernum: Number of flowers on that cluster.
- Flower_n: Flower ID.
- Receptacle: Receptacle colour (Z = Green, P = Red).

Nectar measurements
- Nectarmg: Amount of nectar in mg measured per flower.
- Sugarconc: Sugar concentration of nectar in % (e.g., "35%") per flower.
- Sugarcontent: Estimated sugar value per flower.

Environmental parameters
- Temp: Temperature in °C (e.g., 22.9).
- Hum: Humidity in % (e.g., 51.1).
- Solarrad: Solar radiation in W/m².
- Okta: Cloud cover in oktas (0 = clear).
- Pressure: Atmospheric pressure in hPa.
- Winddir: Wind direction in degrees.
- Windspeed: Wind speed in m/s.
- Synop: Synoptic weather code (NOSIG = No significant change).
- Notes: Hungarian text — e.g., "sok virág" = "many flowers".
- S: Sky condition (e.g., sunny).
- R24, H_R24: Rainfall over past 24h (R24 = near the study site, H_R24 = nearest meteorological station).

Additional information
Nearest meteorological station WMO number: 64711.
Meteorological measurements were recorded by a local micrometeorological station located at the experimental site in Debrecen, Nagycsere.


This work has been implemented by the National Multidisciplinary Laboratory for Climate Change (RRF-2.3.1-21-2022-00014) project within the framework of Hungary's National Recovery and Resilience Plan supported by the Recovery and Resilience Facility of the European Union.
DOI: 10.15468/dl.b9ndnz
title: Occurrence Download

description: A dataset containing 1613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Specimen)",
 "Country is United States of America",
 "Geometry POLYGON((-86.45894 23.75732,-74.82469 23.75732,-74.82469 29.42321,-86.45894 29.42321,-86.45894 23.75732))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eucinostomus harengulus",
 "Year 2010-2025"
 ]
}

 The dataset includes 1613 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024257-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17182550
title: Bacterial and diatom communities collected from James Ross Archipelago and South Shetland Island waterbodies

description: Three files are included here: "Ant_env.csv", "Ant_diatom_counts.csv", and "Ant_bacteria_ASVs_rarefied.csv". Ant_env.csv is a metadata file, whereas Ant_diatom_counts.csv contains diatom count data [enumerated to 300 valves] and Ant_bacteria_ASVs_rarefied.csv contains a rarefied ASV table [rarefied to 19,922 reads].

In Ant_env.csv, column names include Site_ID [abbreviation of waterbody name], Waterbody [waterbody name written in full], Island [island name written in full], Region [James_Ross or South_Shetlands], Island_group [James Ross Archipelago, JRA; South Shetland Islands, SSI], latitude [decimal degrees], longitude [decimal degrees], altitude [waterbody m above sea level], area [waterbody area, m2], perimeter [waterbody perimeter, m], pH, cond [conductivity, μS/cm], water_temp [waterbody temperature, degrees C], org_C [percent organic carbon], and PRC_slide_id [accession number for permanent slide stored at the Charles University herbarium].

In Ant_diatom_counts.csv, the first two column names include Morph_number [morphotype number] and id [morphotype genus_species abbreviation]. The next 15 columns are waterbody abbreviations that correspond to full waterbody names given in Ant_env.csv. The final two columns provide taxonomic information for diatom morphotypes including Genus and Species.

In Ant_bacteria_ASVs_rarefied.csv, the first two columns include ASV_number and id [ASV identification code]. The next 15 columns are waterbody abbreviations that correspond to full waterbody names given in Ant_env.csv. The final seven columns provide taxonomic information for ASVs including Domain, Phylum, Class, Order, Family, Genus, and Species.
DOI: 10.5281/zenodo.17182549
title: Bacterial and diatom communities collected from James Ross Archipelago and South Shetland Island waterbodies

description: Three files are included here: "Ant_env.csv", "Ant_diatom_counts.csv", and "Ant_bacteria_ASVs_rarefied.csv". Ant_env.csv is a metadata file, whereas Ant_diatom_counts.csv contains diatom count data [enumerated to 300 valves] and Ant_bacteria_ASVs_rarefied.csv contains a rarefied ASV table [rarefied to 19,922 reads].

In Ant_env.csv, column names include Site_ID [abbreviation of waterbody name], Waterbody [waterbody name written in full], Island [island name written in full], Region [James_Ross or South_Shetlands], Island_group [James Ross Archipelago, JRA; South Shetland Islands, SSI], latitude [decimal degrees], longitude [decimal degrees], altitude [waterbody m above sea level], area [waterbody area, m2], perimeter [waterbody perimeter, m], pH, cond [conductivity, μS/cm], water_temp [waterbody temperature, degrees C], org_C [percent organic carbon], and PRC_slide_id [accession number for permanent slide stored at the Charles University herbarium].

In Ant_diatom_counts.csv, the first two column names include Morph_number [morphotype number] and id [morphotype genus_species abbreviation]. The next 15 columns are waterbody abbreviations that correspond to full waterbody names given in Ant_env.csv. The final two columns provide taxonomic information for diatom morphotypes including Genus and Species.

In Ant_bacteria_ASVs_rarefied.csv, the first two columns include ASV_number and id [ASV identification code]. The next 15 columns are waterbody abbreviations that correspond to full waterbody names given in Ant_env.csv. The final seven columns provide taxonomic information for ASVs including Domain, Phylum, Class, Order, Family, Genus, and Species.
DOI: 10.5281/zenodo.17359881
title: SInAS: A global dataset of native and alien distributions of alien species

description: The SInAS dataset represents a collection of regional lists of alien (also called non-native or non-indigenous) species and includes information about their native ranges, alien ranges, invasion status for alien ranges, habitats and year of first record. This dataset has been generated by standardising and integrating large global databases of alien species occurrences using the SInAS workflow version 2.0. 

The SInAS dataset is described in more detail in the following scientific article, which need to be cited when using this dataset:

Gómez-Suárez, M., Laeseke, P., and Seebens, H. (submitted) A global dataset of native and alien distributions of alien species 

The code to generate the dataset is stored on Github (https://github.com/hseebens/SInAS) with releases available on Zenodo (https://doi.org/10.5281/zenodo.3763221).
description: Version 3.1: Revised code to generate the dataset; improved documentation; new version of GloNAF dataset
DOI: 10.15468/dl.87qgh6
title: Occurrence Download

description: A dataset containing 1306217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carduus acanthoides L., Carduus acicularis Bertol., Carduus defloratus L., Carduus candicans Waldst. & Kit., Carduus carduelis (L.) Gren., Carduus chrysacanthus Ten., Carduus carlinoides Gouan, Carduus carpetanus Boiss. & Reut., Carduus collinus Waldst. & Kit., Carduus crispus L., Carduus hamulosus Ehrh., Carduus nutans L., Carduus personata (L.) Jacq., Carduus pycnocephalus L., Carduus tenuiflorus Curtis, Carex acuta L., Carex acutiformis Ehrh., Carex alba Scop., Carex appropinquata Schumach., Carex ×rotae De Not., Carex aquatilis Wahlenb., Carex arenaria L., Carex aterrima Hoppe, Carex atherodes Spreng., Carex atrata L., Carex atrofusca Schkuhr, Carex austroalpina Bech., Carex baldensis L., Carex bicolor Bellardi ex All., Carex bigelowii Torr. ex Schwein.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1306217 records from 3006 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003516-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1397658.10fu
title: SH1397658.10FU

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/sh1397659.10fu
title: SH1397659.10FU

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/sh1397663.10fu
title: SH1397663.10FU

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.