cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.azn4ck
title: Occurrence Download

description: A dataset containing 3542 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Columba livia",
 "Country is Jordan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3542 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017820-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3r26w
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Piper nigrum",
 "Country is Sao Tome and Principe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017821-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15882265
title: EnergAIze: Empirical statistical downscaling with EPISODES

description: For the purpose of the EnergAIze project (FFG grant No. FO999899927, AI for Green - Call 2022) empirical statistical downscaling was carried out via the EPISODES method (Kreienkamp et al., 2019, Wetter und Klima - Deutscher Wetterdienst - EPISODES). The EPISODES method was initialized by Deutscher Wetterdienst (DWD) and is under current development in cooperation of DWD and GeoSphere Austria.

Empirical-statistical climate methods use statistical methods to analyze and predict climate behavior based on observational data. These methods focus on identifying patterns, correlations and trends in historical climate data (such as temperature and precipitation) in order to make predictions about future climate conditions. 




EPISODES establishes a statistical relationship between coarse-scale atmospheric patterns (comparable to large-scale weather patterns) and their regional effects using historical data. This relationship is applied to the future, taking future trends into account. Compared to RCMs (i.e. dynamical regional climate models), the method is simple and not very computationally intensive. Nevertheless, multivariate projections can be calculated for selected meteorological parameters, the output format of which is similar to that of RCMs. A prerequisite for high-quality climate projections with EPISODES is a long time series of observations that describe as many different weather situations from the past as possible.  




For EnergAIze, the CERRA reanalysis data set (5.5km resolution) serves as reference for the past and also provides the target grid for EPISODES. Instead of using the whole European domain an Alpine area was selected for ESD. Here you have access to a test data set, driven with ERA5 for the period 1991-2020, with the CERRA grid (Alpine section) as the target grid.
DOI: 10.5281/zenodo.15882266
title: EnergAIze: Empirical statistical downscaling with EPISODES

description: For the purpose of the EnergAIze project (FFG grant No. FO999899927, AI for Green - Call 2022) empirical statistical downscaling was carried out via the EPISODES method (Kreienkamp et al., 2019, Wetter und Klima - Deutscher Wetterdienst - EPISODES). The EPISODES method was initialized by Deutscher Wetterdienst (DWD) and is under current development in cooperation of DWD and GeoSphere Austria.

Empirical-statistical climate methods use statistical methods to analyze and predict climate behavior based on observational data. These methods focus on identifying patterns, correlations and trends in historical climate data (such as temperature and precipitation) in order to make predictions about future climate conditions. 




EPISODES establishes a statistical relationship between coarse-scale atmospheric patterns (comparable to large-scale weather patterns) and their regional effects using historical data. This relationship is applied to the future, taking future trends into account. Compared to RCMs (i.e. dynamical regional climate models), the method is simple and not very computationally intensive. Nevertheless, multivariate projections can be calculated for selected meteorological parameters, the output format of which is similar to that of RCMs. A prerequisite for high-quality climate projections with EPISODES is a long time series of observations that describe as many different weather situations from the past as possible.  




For EnergAIze, the CERRA reanalysis data set (5.5km resolution) serves as reference for the past and also provides the target grid for EPISODES. Instead of using the whole European domain an Alpine area was selected for ESD. Here you have access to a test data set, driven with ERA5 for the period 1991-2020, with the CERRA grid (Alpine section) as the target grid.
DOI: 10.5281/zenodo.15921717
title: SenWiCh: Sense-Annotated Sentences for WSD and WiC in Low-Resource Languages

description: SenWiCh is a multilingual dataset of sense-annotated sentences designed to support research in Word Sense Disambiguation (WSD) and Word-in-Context (WiC) tasks for low-resource languages. It covers ten typologically and geographically diverse languages: Azerbaijani, Kannada, Korean, Marathi, Polish, Punjabi, Swahili, Telugu, Urdu and Vietnamese. Each dataset contains sentences featuring polysemous words, annotated for word senses using a semi-automatic method that combines embedding-based clustering with interactive manual annotation. This approach ensures broad semantic coverage and efficient sense labeling across diverse linguistic contexts. 

The release includes three main components:





wic_files.zip: Contains WiC-formatted JSON files ({lang}_train.data, {lang}_dev.data, {lang}_test.data) for each language, suitable for binary classification-based training and evaluation.




wsd_files.zip: Provides full sets of sense-annotated sentences for each language in CSV format ({lang}.csv), supporting fine-grained WSD tasks.




sense_lists.zip: Includes CSV files ({lang}.csv) listing the polysemous lemmas, their associated senses, and unique sense IDs, useful for lexical resource analysis and alignment.



The dataset creation process is described in our paper "SenWiCh: Sense-Annotation of Sentences in Low-Resource Languages for WiC using Hybrid Methods" (SIGTYP 2025, ACL). [arXiv link]A link to the ACL Anthology version will be provided as soon as it becomes available. For now, please cite the arXiv version.

To support dataset creation and adaptation to new languages, we also release the interactive annotation tool used in this process: projecting_sentences.

This work was partially supported by the research program Change is Key!, funded by Riksbankens Jubileumsfond (grant number M21-0021).
DOI: 10.15468/dl.e3hfcu
title: Occurrence Download

description: A dataset containing 2019 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Maytenus senegalensis",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 2019 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017824-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.23nj5w
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mastacembelus alboguttatus"
 ]
}

 The dataset includes 24 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017822-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15907606
title: Reinventing Participatory Democracy? Lessons from 25 years of experiments in Ghent

description: REINVENTING PARTICIPATORY DEMOCARCY?

Lessons from 25 years of experiments in Ghent

Why look to Ghent to rethink participatory democracy?

Because this city is a reference point in Europe: progressive governance, 25 years of experience, and international recognition in citizen participation.

At the end of 2023 , Ghent set itself a challenge: to draw lessons from 25 years of participatory practices in order to reinvent the future of participation.

The goal? An unfiltered review of successes and failures to imagine the next decade:

· Better understand those who feel excluded,

· Make the impact tangible for everyone,

· Define a clear participation contract,

· Strengthen a capacity for action among citizens and public services

· Map engagement neighborhood by neighborhood,

· Etc.

The result of a year of collective assessment and experimentation, this publication goes beyond a simple overview: it offers concrete proposals to strengthen participation, on the side of both citizens and institutions. An inspiring book for any city seeking a more inclusive and effective democratic model.
DOI: 10.5281/zenodo.15907607
title: Reinventing Participatory Democracy? Lessons from 25 years of experiments in Ghent

description: REINVENTING PARTICIPATORY DEMOCARCY?

Lessons from 25 years of experiments in Ghent

Why look to Ghent to rethink participatory democracy?

Because this city is a reference point in Europe: progressive governance, 25 years of experience, and international recognition in citizen participation.

At the end of 2023 , Ghent set itself a challenge: to draw lessons from 25 years of participatory practices in order to reinvent the future of participation.

The goal? An unfiltered review of successes and failures to imagine the next decade:

· Better understand those who feel excluded,

· Make the impact tangible for everyone,

· Define a clear participation contract,

· Strengthen a capacity for action among citizens and public services

· Map engagement neighborhood by neighborhood,

· Etc.

The result of a year of collective assessment and experimentation, this publication goes beyond a simple overview: it offers concrete proposals to strengthen participation, on the side of both citizens and institutions. An inspiring book for any city seeking a more inclusive and effective democratic model.
DOI: 10.15468/dl.cw7hup
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bromus hordeaceus glabrescens, Bromus hordeaceus leiostachys, Bromus hordeaceus leptostachys, Bromus hordeaceus racemosus, Bromus leptostachys, Bromus lusitanicus, Bromus mollis leiostachys, Bromus mollis leptostachys, Bromus mollis leptostachys, Bromus mollis leptostachys)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 9 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017823-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jpansf
title: Occurrence Download

description: A dataset containing 17084 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cardamine enneaphyllos"
 ]
}

 The dataset includes 17084 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017825-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7yuu7n
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Poa sylvatica, Poa sylvatica subaristata, Poa trinervata, Schedonorus alpinus, Schedonorus altissimus, Schedonorus deciduus, Schedonorus latifolius, Schedonorus sylvaticus, Festuca brachyphylla, Festuca brachyphylla flavida)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 61 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017826-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rydybz
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orconectes limosus",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 42 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017827-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xkktvt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orconectes limosus",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017829-250711103210423/datasets/export for details.
DOI: 10.15468/dl.tadv53
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orconectes limosus",
 "Country is Belarus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017828-250711103210423/datasets/export for details.
DOI: 10.15468/dl.ahmqad
title: Occurrence Download

description: A dataset containing 119689 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tilia platyphyllos"
 ]
}

 The dataset includes 119689 records from 1449 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017723-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9u2x76
title: Occurrence Download

description: A dataset containing 38840 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 (Oxalis nidulans, Oxalis pachyrrhiza, Oxalis smithiana, Oxalis virgosa, Oxalis violacella, Oxalis laxicaulis, Oxalis marlothii, Oxalis crispula, Oxalis gracilis, Oxalis extensa, Selaginella delicatissima, Tetramerium fruticosum, Triglochin compacta, Biscutella lyrata, Calligonum calvescens, Geissorhiza lithicola, Goodenia caerulea, Goodenia claytoniacea, Goodenia stobbsiana, Rubus andegavensis, Rubus muricatus, Rubus phaeocarpus, Rubus platyacanthus, Rubus ramosus, Dianthus namaensis, Eryngium constancei, Eryngium depressum, Prangos ilanae, Aphelia gracilis, Erythronium howellii, Geissorhiza purpureolutea, Glyceria pedicellata, Onobrychis paucijuga, Oxalis ricardii, Oxalis robinsonii, Selaginella arizonica, Phylica ampliata, Pilostyles hamiltonii, Dianthus siculus, Dianthus siphonocalyx, Geissorhiza sufflava, Rubus sempernitens, Rubus serpens, Spiraea douglasii, Bunium sayae, Claytonia parviflora, Eryngium expansum, Oxalis novemfoliolata, Acalypha dregei, Najas major, Trisetum velutinum, Hysterobaeckea petraea, Sedum maurum, Sedum obtusatum, Phylica laevigata, Geissorhiza bolusii, Goodenia filiformis, Goodenia modesta, Coopernookia georgei, Dianthus libanotis, Rubus immodicus, Rubus iricus, Oxalis canaliculata, Sedum creticum, Eryngium pinnatisectum, Asyneuma ilgazense, Oxalis mira, Oxalis virginea, Oxalis viscosa, Oxalis livida, Oxalis flava, Littorella australis, Biscutella maritima, Bunchosia praecox, Bunchosia sonorensis, Dianthus cintranus, Dianthus deserti, Dianthus floribundus, Rubus moorei, Rubus muridens, Rubus rilstonei, Rubus rivularis, Rubus alterniflorus, Onobrychis stenostachya, Claytonia peirsonii, Biscutella sclerocarpa, Aphelia pumilio, Geissorhiza pseudinaequalis, Casuarina glauca, Onobrychis quadrijuga, Oxalis pocockiae, Oxalis namaquana, Oxalis adenophylla, Oxalis lanata, Rubus sulcatus, Phylica debilis, Phylica wittebergensis, Phylica mundii, Phylica propinqua, Bauera sessiliflora)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 38840 records from 468 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017646-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z84ymm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cerebratulus validus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017650-251025141854904/datasets/export for details.
DOI: 10.57745/gntoa8
title: AA_v5.2.2.1_TARGET.vcf.gz

description: :unav
DOI: 10.57745/uiswpy
title: AA_v5.2.2.1_DENOVO.vcf.gz

description: :unav
DOI: 10.57745/y2fcb8
title: AA_v5.2.2.1_COMBINED.vcf.gz

description: :unav
DOI: 10.57745/654iav
title: PC_v5.2.2.1_COMBINED.vcf.gz

description: :unav
DOI: 10.57745/tql8iq
title: PC_v5.2.2.1_TARGET.vcf.gz

description: :unav
DOI: 10.57745/jmuv2y
title: PH_v5.2.2.1_DENOVO.vcf.gz

description: :unav
DOI: 10.57745/t0ycuj
title: TB_v5.2.2.1_TARGET.vcf.gz

description: :unav
DOI: 10.57745/tk639e
title: PH_v5.2.2.1_COMBINED.vcf.gz

description: :unav
DOI: 10.57745/kxkk9v
title: PC_v5.2.2.1_DENOVO.vcf.gz

description: :unav
DOI: 10.57745/fzfw4b
title: PN_v5.2.2.1_TARGET.vcf.gz

description: :unav
DOI: 10.57745/84hqvd
title: PH_v5.2.2.1_TARGET.vcf.gz

description: :unav
DOI: 10.57745/7wusfc
title: PN_v5.2.2.1_COMBINED.vcf.gz

description: :unav
DOI: 10.57745/k3eipm
title: TB_v5.2.2.1_DENOVO.vcf.gz

description: :unav
DOI: 10.57745/qz6mdf
title: TB_v5.2.2.1_COMBINED.vcf.gz

description: :unav
DOI: 10.57745/ntfu4m
title: PN_v5.2.2.1_DENOVO.vcf.gz

description: :unav
DOI: 10.57745/yvnlak
title: GenTree consortium.pdf

description: List of people who contributed to sampling, DNA extraction and genotyping as part of EU project GenTree
DOI: 10.57745/yhqwrw
title: Single-nucleotide polymorphism (SNP) data for 1,085 adult individuals from 54 range-wide populations of 5 European conifer species

description: General description This dataset contains the Single Primer Enrichment Technology (SPET) data (variant call format -vcf- files) of five conifer species used in the manuscript "Genome-wide data to assist conservation in five European conifer species". The SNPs were selected based on DNA regions containing loci with a known adaptive function or putatively under selection, sequences of orthologous gene families with functions of interest, and genes with unknown functions and presumably neutral loci. For each species, between 161 and 371 genotyped trees are included, sampled across their European range in 9 to 15 locations. Three different datasets are provided for each species: (1) target SNPs (TARGET), (2) de novo SNPs - detected within 100 base pair (bp) distance from each targeted SNP (DENOVO) and (3) target and de novo SNPs combined (COMBINED), resulting in three vcf files per species, built as [species tag]_v5.2.2.1_[TARGET/DENOVO/COMBINED].vcf.gz. The vcf files can be opened and analyzed using the following custom-made pipeline: https://github.com/amfarsakoglou/GenTree_SPET_Pipeline_short_version. The file "GenTree consortium" lists all authors involved in DNA sampling and extraction. Species included: Abies alba Mill. (tag: AA), Pinus cembra L.(tag: PC), Pinus halepensis Mill.(tag: PH), Pinus nigra J.F.Arnold (tag: PN), and Taxus baccata L. (tag: TB)
DOI: 10.6084/m9.figshare.30540446
title: Research data

description: Nill
DOI: 10.6084/m9.figshare.30540446.v1
title: Research data

description: Nill
DOI: 10.15468/dl.rdexup
title: Occurrence Download

description: A dataset containing 332156 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 (Eryngium wanaturi, Eryngium wiegandii, Maranta arundinacea, Geissorhiza louisabolusiae, Geissorhiza malmesburiensis, Geissorhiza silenoides, Onobrychis nitida, Oxalis polyphylla, Oxalis callosa, Oxalis tomentosa, Onobrychis lassenii, Phylica stokoei, Phylica salteri, Phylica willdenowiana, Dianthus ancyrensis, Dianthus canescens, Rubus boraeanus, Rubus couchii, Rubus franconicus, Rubus horridicaulis, Rubus peninsulae, Berkheya bergiana, Berkheya armata, Eryngium racemosum, Jasminum fluminense, Sedum caroli-henrici, Sedum derbezii, Sedum barcense, Phylica galpinii, Phylica excelsa, Phylica floccosa, Phylica cylindrica, Goodenia quadrilocularis, Dianthus multisquamatus, Hermas capitata, Rubus euchloos, Rubus grabowskii, Rubus saxatilis, Sedum modestum, Polyarrhena prostrata, Eryngium paniculatum, Salvinia auriculata, Acalypha petiolaris, Flagellaria indica, Loasa nitida, Oxalis kamiesbergensis, Oxalis leptocalyx, Selaginella hoffmannii, Biscutella ambigua, Biscutella cichoriifolia, Biscutella sempervirens, Goodenia arachnoidea, Dianthus cyri, Dianthus deltoides, Dianthus desideratus, Dianthus engleri, Dianthus giganteus, Onobrychis germanicopolitana, Onobrychis gracilis, Bunium pestalozzae, Dimeresia howellii, Eucomis bicolor, Geissorhiza tulbaghensis, Paspalum tenellum, Onobrychis fallax, Phylica villosa, Phylica pustulata, Grewia robusta, Dianthus raddeanus, Dianthus sphacioticus, Rubus bifrons, Rubus brunneri, Rubus hilsianus, Rubus moluccanus, Rubus lesdainii, Berkheya francisci, Berkheya umbellata, Berkheya viscosa, Thaminophyllum multiflorum, Rubus evagatus, Vigna triodiophila, Dianthus varankii, Acalypha alopecuroidea, Jasminum dallachyi, Rubus cryptopetalus, Rubus leptodytus, Dianthus ichnusae, Phylica karroica, Goodenia forestii, Goodenia lancifolia, Rubus condensatus, Rubus coronatus, Rubus ignoratus, Rubus juvenis, Rubus splendidus, Rubus urbionicus, Triglochin mexicana, Loasa elongata, Loasa arnottiana, Onobrychis ebenoides)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 332156 records from 1241 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017625-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.