cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14643133
title: Reindeer pasture inventory data from northernmost Finland

description: The reindeer pasture inventory field data collected by Natural Resources Institute Finland contains 617 permanent field sites located in 20 northernmost reindeer herding co-operatives in Finland and studied during two pasture inventories during summers 2006-2008 and 2016-2018. These permanent field sites are placed in the nutrient poor dry or semi-dry lichen (Cladina spp.) type winter pastures by the semi-domesticated reindeer located in the areas grazed by reindeer either only in winter or in summer, or then in both seasons. Depending on the area, the ground lichen pastures are in pine or mountain birch forests or then in open mountain heaths. During both inventories, the same straight line containing 10 ground plants squares (size 0.25 m2) and 10 vegetation and tree circles (radius 3.99 m) were studied in each site. Coverages and heights of different lichens and dwarf shrubs as well as coverage mosses were evaluated in each vegetation square. The vegetation and forest type and tree canopy cover in each field site were evaluated estimating it either in the whole site area or separately in each circle.

Climate variables were calculated from the Finnish Meteorological Institutes gridded daily climatology data set (https://doi.org/10.1002/2015JD024651).
DOI: 10.5281/zenodo.14718611
title: Combining observational and experimental data to estimate environmental and species drivers of fungal metacommunity dynamics
title: Fungi presence-absence datasets
title: Metacommunity model

description: This dataset contains data from two studies that surveyed the presence or absence of wood-decay fruit bodies on a total of 1379 dead Norway spruce (Picea abies) logs. The logs were surveyed twice, 6 years apart. The study sites were composed of old-growth unmanaged forests where we studied naturally fallen logs. In Brattiken nature reserve (Sweden, 65°25"N, 16°06´E), 843 logs were inventoried in autumn of 1997 and 2003 (Edman & Jonsson, 2001; Berglund et al., 2005; Jönsson et al., 2008). In Rörstrand nature reserve (Finland, 60°27"N, 25°11´E), 536 logs were inventoried in autumn of 2002 and 2008 (Ovaskainen et al., 2010; Ottosson et al., 2014). Among a total of 210 fungal species, we chose 12 species that were present at both study sites in sufficient numbers and were expected to interact based on the literature. We used additional repeat visit data to account for imperfect detection (as Moor et al., 2021). Dead fruit bodies were excluded from the analysis. We included two log-level variables that are well-known to explain species occurrences: log decay stage and log diameter (cm). All environmental variables were transformed to mean zero and unit standard deviation (subtracting the mean and dividing each value by the standard deviation). We also included the decay stage variable squared, as some species are most frequent (in terms of occupancy, i.e.  number of presences divided by number of logs) in logs of intermediate decay.
DOI: 10.5281/zenodo.14718612
title: Combining observational and experimental data to estimate environmental and species drivers of fungal metacommunity dynamics
title: Fungi presence-absence datasets
title: Metacommunity model

description: This dataset contains data from two studies that surveyed the presence or absence of wood-decay fruit bodies on a total of 1379 dead Norway spruce (Picea abies) logs. The logs were surveyed twice, 6 years apart. The study sites were composed of old-growth unmanaged forests where we studied naturally fallen logs. In Brattiken nature reserve (Sweden, 65°25"N, 16°06´E), 843 logs were inventoried in autumn of 1997 and 2003 (Edman & Jonsson, 2001; Berglund et al., 2005; Jönsson et al., 2008). In Rörstrand nature reserve (Finland, 60°27"N, 25°11´E), 536 logs were inventoried in autumn of 2002 and 2008 (Ovaskainen et al., 2010; Ottosson et al., 2014). Among a total of 210 fungal species, we chose 12 species that were present at both study sites in sufficient numbers and were expected to interact based on the literature. We used additional repeat visit data to account for imperfect detection (as Moor et al., 2021). Dead fruit bodies were excluded from the analysis. We included two log-level variables that are well-known to explain species occurrences: log decay stage and log diameter (cm). All environmental variables were transformed to mean zero and unit standard deviation (subtracting the mean and dividing each value by the standard deviation). We also included the decay stage variable squared, as some species are most frequent (in terms of occupancy, i.e.  number of presences divided by number of logs) in logs of intermediate decay.
DOI: 10.15468/dl.sgvhv2
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.4_1",
 "TaxonKey is Polygonatum cyrtonema Hua"
 ]
}

 The dataset includes 22 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001233-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9arxd3
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Gaultheria (Ericaceae) of Myanmar: an updated species list for the country, a new species, and a new species combination"
 ]
}

 The dataset includes 124 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001234-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28254818
title: A Fair and Safe Usage Drug Recommendation System in Medical Emergencies by a Stacked ANN

description: The importance of online recommender systems for drugs, medical professionals, and hospitals is growing. Today, the majority of people use online consultations for drug recommendations for all types of health issues. Emergencies such as pandemics, floods, or cyclones can be helped by the medical recommender system. In the era of machine learning (ML), recommender systems produce more accurate, quick, and reliable clinical predictions with minimal costs. As a result, these systems maintain better performance, integrity, and privacy of patient data in the decision-making process and provide precise information at any time. Therefore, we present drug recommender systems with a stacked artificial neural network (ANN) model to improve the fairness and safety of treatment for infectious diseases. To reduce side effects, drugs are recommended based on a patient’s previous health profile, lifestyle, and habits. The proposed system produced results with 97.5% accuracy. A system such as this could be useful in recommending safe medicines to patients, especially during health emergencies.
DOI: 10.15468/dl.5xqv77
title: Occurrence Download

description: A dataset containing 2136 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peumus boldus Molina"
 ]
}

 The dataset includes 2136 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001235-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28254818.v1
title: A Fair and Safe Usage Drug Recommendation System in Medical Emergencies by a Stacked ANN

description: The importance of online recommender systems for drugs, medical professionals, and hospitals is growing. Today, the majority of people use online consultations for drug recommendations for all types of health issues. Emergencies such as pandemics, floods, or cyclones can be helped by the medical recommender system. In the era of machine learning (ML), recommender systems produce more accurate, quick, and reliable clinical predictions with minimal costs. As a result, these systems maintain better performance, integrity, and privacy of patient data in the decision-making process and provide precise information at any time. Therefore, we present drug recommender systems with a stacked artificial neural network (ANN) model to improve the fairness and safety of treatment for infectious diseases. To reduce side effects, drugs are recommended based on a patient’s previous health profile, lifestyle, and habits. The proposed system produced results with 97.5% accuracy. A system such as this could be useful in recommending safe medicines to patients, especially during health emergencies.
DOI: 10.5281/zenodo.14718690
title: Closing the gender wage gap in the boardroom: the role of compliance with governance codes - DATASET
DOI: 10.5281/zenodo.14718691
title: Closing the gender wage gap in the boardroom: the role of compliance with governance codes - DATASET
DOI: 10.15161/oar.it/212050
title: Carta Geologica d'Italia alla scala 1:50.000, F. 273 Pisa

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 2003 e il 2006) comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.15161/oar.it/212051
title: Carta Geologica d'Italia alla scala 1:50.000, F. 273 Pisa

description: Foglio geologico alla scala 1:50.000 basato su rilevamenti alla scala 1:10.000 (eseguiti tra il 2003 e il 2006) comprensivo di legenda, schemi a cornice, sezioni geologiche.
DOI: 10.23695/jjnh-w133
title: SweLL original
title: SweLL original
DOI: 10.5281/zenodo.14718614
title: Data relating to publication: Salmon cage wastes increase kelp growth in commercial scale open coast integrated multi-trophic aquaculture system

description: Kelp growth data: length, width, weight of S. latissima grown at Bantry Marine Research Station in 2023 (no salmon farm) and 2024 (salmon farm). 

Isotope data: C, N d13C, d15N measurements for S. latissima grown at Bantry Marine Research Station in 2023 (no salmon farm) and 2024 (salmon farm). 

WQ data: Nitrogen water quality measurements for the kelp farm at Bantry Marine Research Station in 2023 (no salmon farm) and 2024 (salmon farm).
DOI: 10.23695/wmtb-7w33
title: SweLL target
title: SweLL target
DOI: 10.23695/a8tf-rf34
title: SweLL v1 original
title: SweLL v1 original
DOI: 10.5281/zenodo.10820960
title: DIPROMATS 2024 - Shared Task 2: few-shot training data for narrative identification

description: Narratives are causally connected sequences of events that are selected and evaluated as meaningful for a particular audience. They make sense of the world by identifying the significance of people, places, objects, and events in time. In international relations, international actors create strategic narratives to “construct a shared meaning of the past, present, and future of international politics to shape the behavior of domestic and international actors”

DIPROMATS 2024 Task 2 is a multiclass multilabel classification problem. Given a series of predefined narratives of each international actor, systems must determine which narrative the tweets belong to. Systems will receive the description of each narrative and a few examples of tweets in both languages (English and Spanish) that belong to each of them (few-shot learning). A tweet may be associated with one, several or none of the narratives.

These are the few-shot training datasets for Englsih and Spanish.

These files don't contain the narratives description. You can find them in the testing dataset:

Peñas, A., Fraile-Hernández, J. M., Moral, P., Rodrigo, Á., Deriu, J., Sharma, R., Centeno, R., Rodríguez-García, R., Giedemann, P., & Reyes-Montesinos, J. (2024). DIPROMATS 2024 - Shared Task 2: testing data for narrative identification (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.12663310
DOI: 10.5281/zenodo.10820961
title: DIPROMATS 2024 - Shared Task 2: few-shot training data for narrative identification

description: Narratives are causally connected sequences of events that are selected and evaluated as meaningful for a particular audience. They make sense of the world by identifying the significance of people, places, objects, and events in time. In international relations, international actors create strategic narratives to “construct a shared meaning of the past, present, and future of international politics to shape the behavior of domestic and international actors”

DIPROMATS 2024 Task 2 is a multiclass multilabel classification problem. Given a series of predefined narratives of each international actor, systems must determine which narrative the tweets belong to. Systems will receive the description of each narrative and a few examples of tweets in both languages (English and Spanish) that belong to each of them (few-shot learning). A tweet may be associated with one, several or none of the narratives.

These are the few-shot training datasets for Englsih and Spanish.

These files don't contain the narratives description. You can find them in the testing dataset:

Peñas, A., Fraile-Hernández, J. M., Moral, P., Rodrigo, Á., Deriu, J., Sharma, R., Centeno, R., Rodríguez-García, R., Giedemann, P., & Reyes-Montesinos, J. (2024). DIPROMATS 2024 - Shared Task 2: testing data for narrative identification (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.12663310
DOI: 10.23695/5f79-ws89
title: SweLL v1 target
title: SweLL v1 target
DOI: 10.15468/dl.j58682
title: Occurrence Download

description: A dataset listing the 1817 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "Geometry POLYGON((-58.39701 -31.53323,-57.87469 -31.53323,-57.87469 -31.32439,-58.39701 -31.32439,-58.39701 -31.53323))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 1817 records were derived from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001223-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.juj782
title: Occurrence Download

description: A dataset containing 1108834 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Heracleum L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1108834 records from 3088 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001230-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfqfly
title: Occurrence Download

description: A dataset containing 47220 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Month is June",
 "Month is July"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Geothlypis tolmiei (J.K.Townsend, 1839)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 47220 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006470-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.83v5et
title: Occurrence Download

description: A dataset containing 72166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicranum scoparium Hedw.",
 "HasCoordinate is true",
 "Year 1990-2022",
 "Geometry POLYGON((-13 35,48 35,48 72,-13 72,-13 35))",
 {
 "or" : [
 {
 "not" : {
 "CoordinateUncertaintyInMeters" : [
 "is not null"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 250"
 ]
 }
 ]
}

 The dataset includes 72166 records from 221 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019234-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fj9a4m
title: Occurrence Download

description: A dataset containing 3218 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FIOCRUZ | Levantamento de flebotomíneos da Terra Indígena Wajãpi, Amazônia Oriental, Brasil"
 ]
}

 The dataset includes 3218 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0176838-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzjtev
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amolops panhai Matsui & Nabhitabhata, 2006)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 75 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056792-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpphhv
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Distichodus schenga Peters, 1852"
 ]
}

 The dataset includes 120 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0326462-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5z6r4c
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllotis bonariensis Crespo, 1964"
 ]
}

 The dataset includes 30 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0353278-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gat7v3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Xenorhina subcrocea (Menzies & Tyler, 1977))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056791-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xv6py7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aphyosemion hofmanni Radda, 1980"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0326461-210914110416597/datasets/export for details.
DOI: 10.15468/dl.5uzkab
title: Occurrence Download

description: A dataset containing 272390 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rosa arensii Juz. & Galushko, Rosa vardensis Rouy, 1900, Rosa canina L., Rosa anthina Lindl., Rosa ×pennina De la Soie ex Christ, Rosa xanthina Lindl., Rosa corymbiflora Rydb., Rossia elliptica M.Voigt, 1960)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 272390 records from 551 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0326442-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vvxtgm
title: Occurrence Download

description: A dataset containing 2146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fejervarya cancrivora (Gravenhorst, 1829))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2146 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056834-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e9hkm4
title: Occurrence Download

description: A dataset containing 1083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dendrolimus superans (Butler, 1877)"
 ]
}

 The dataset includes 1083 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013632-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwsfuf
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phaecadophora acutana Walsingham, 1900",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0210080-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ja9634
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scutiger pingwuensis Liu & Tian, 1978, Scutiger pinwuensis Liu & Tian, 1978)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 41 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056780-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5wnwh9
title: Occurrence Download

description: A dataset listing the 136 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "TaxonKey is Palaemonidae"
 ]
}

 The dataset's 136 records were derived from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0266609-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.