cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vg5xe8
title: Occurrence Download

description: A dataset containing 1488 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chamaecrista rotundifolia",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1488 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030630-250827131500795/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.28547042.v2
title: CSympData: An Expert-Annotated Dataset of Symptoms and Demographics for Clinical Recommendations

description: Access to timely and accurate healthcare guidance remains a challenge, particularly in Low- and Middle-Income Countries (LMICs). To help bridge this gap, AI-powered symptom checkers can provide preliminary guidance, helping individuals make a critical decision: whether to seek professional medical care or if self-management with over-the-counter (OTC) medication is appropriate.To support the development and validation of these AI-driven clinical triage tools, we introduce CSympData, a large-scale, expert-annotated dataset. Crucially, this dataset does not contain real patient records. Instead, it consists of 130,637 synthetically generated, clinically plausible patient profiles. Each profile was meticulously crafted by combining symptoms, demographic attributes (age group, gender), symptom duration, and overall severity to represent a realistic medical scenario. These profiles were then validated and labeled by teams of medical experts, who provided a final recommendation: either OTC Drug or Doctor Consultation. The process was informed by disease prevalence data and symptom knowledge from sources like the International Classification of Diseases, 11th Revision (ICD-11), ensuring the scenarios are relevant and aligned with global healthcare standards.<br><br>List of Dataset Attributes:<br>Symptoms: (String) A list of symptoms presented in the profile.Gender: (Categorical) The patient's gender (Male, Female).Age_Group: (Categorical) The patient's binned age group, categorized based on clinical and public health relevance (Below 5 years, 6-15 years, 16-45 years (Female), 16-60 years (Male), Above 45 years (Female), Above 60 years (Male)).Duration: (Categorical) Binned duration of symptoms (&lt;= 3 days, &gt; 3 days).Severity: (Categorical) The holistic severity of the case as assessed by an expert (Mild, Moderate, Severe).Final_Recommendation (Target Label): (Categorical) The expert-validated triage recommendation (OTC Drug or Doctor Consultation).
DOI: 10.15468/dl.jkuw6w
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030631-250827131500795/datasets/export for details.
DOI: 10.15468/dl.xp5ydz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Limnocaridina latipes, Limnocaridina parvula, Limnocaridina retarius, Limnocaridina similis, Limnocaridina socius, Limnocaridina spinipes, Limnocaridina tanganyikae, Macrobrachium australe, Macrobrachium chevalieri, Macrobrachium dolichodactylus, Macrobrachium dux, Macrobrachium equidens, Macrobrachium felicinum, Macrobrachium foai, Macrobrachium hirtimanus, Macrobrachium idae, Macrobrachium idella, Macrobrachium idella idella, Macrobrachium lar, Macrobrachium lepidactylus, Macrobrachium lujae, Macrobrachium macrobrachion, Macrobrachium moorei, Macrobrachium niloticum, Macrobrachium patsa, Macrobrachium petersii, Macrobrachium raridens, Macrobrachium rude, Macrobrachium scabriculum, Macrobrachium scorteccii, Macrobrachium sollaudii, Macrobrachium therezieni, Macrobrachium thysi, Macrobrachium vollenhovenii, Macrobrachium zariquieyi, Madagapotamon humberti, Malagasya antongilensis, Maritimonautes calcaratus, Maritimonautes choloensis, Maritimonautes namuliensis, Maritimonautes obesus, Marojejy longimerus, Monsamnis carpolongus, Namibcypris costata, Orconectes limosus, Palaemon capensis, Palaemonetes mesogenitor, Parisia dentata, Parisia edentata, Parisia macrophthalma, Parisia microphthalma, Platythelphusa armata, Platythelphusa conculcata, Platythelphusa denticulata, Platythelphusa echinata, Platythelphusa immaculata, Platythelphusa maculata, Platythelphusa polita, Platythelphusa praelongata, Platythelphusa tuberculata, Potamalpheops haugi, Potamalpheops monodi, Potamon algeriense, Potamon potamios, Potamonautes acristatus, Potamonautes alluaudi, Potamonautes amalerensis, Potamonautes anchietae, Potamonautes ballayi, Potamonautes barbarai, Potamonautes barnardi, Potamonautes bayonianus, Potamonautes baziya, Potamonautes berardi, Rotundopotamonautes berardi, Potamonautes brincki, Potamonautes clarus, Potamonautes congoensis, Acanthothelphusa congoensis, Potamonautes danielsi, Potamonautes dentatus, Potamonautes depressus, Potamonautes didieri, Acanthothelphusa didieri, Potamonautes dubius, Potamonautes dybowskii, Acanthothelphusa dybowskii, Potamonautes ecorssei, Occidensonautes ecorssei, Potamonautes emini, Rotundopotamonautes emini, Potamonautes flavusjo, Potamonautes gerdalensis, Arcopotamonautes gerdalensis, Potamonautes gonocristatus, Rotundopotamonautes gonocristatus, Potamonautes granularis, Potamonautes idjwiensis, Potamonautes ignestii, Rotundopotamonautes ignestii)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((19.1382 29.0599,10.1382 29.0599,10.1382 20.0599,19.1382 20.0599,19.1382 29.0599))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030632-250827131500795/datasets/export for details.
DOI: 10.5281/zenodo.17062684
title: Multi-Criteria Spatial Assessment of Urban Open Spaces for Promoting Physical Activity and Spatial Justice

description: This dataset accompanies the study “Multi-Criteria Spatial Assessment of Urban Open Spaces for Promoting Physical Activity and Spatial Justice: A Case Study of Tehran Metropolitan”. It contains both the input and output data used in the spatial multi-criteria decision analysis (SMCDA) of urban open spaces in Tehran.

The dataset includes:



Processed spatial layers: normalized environmental and accessibility/infrastructure criteria (20 in total).



Weighting results: criterion weights derived using a hybrid Best-Worst Method (BWM) and Criteria Importance Through Intercriteria Correlation (CRITIC).


Output maps and spatial analyses: results of the Weighted Linear Combination (WLC) integration, hot spot analysis (Getis-Ord Gi*), Local Moran’s I clusters, and spatial justice measures (Lorenz curve and Gini coefficient).


These datasets provide the basis for assessing the spatial distribution of open space quality in Tehran and for examining inequalities in access to urban open spaces that support physical activity. Researchers and practitioners can use this resource to replicate the study, test alternative criteria weights, or adapt the framework to other urban contexts.
DOI: 10.15468/dl.dd5e56
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chamaecrista rotundifolia",
 "Country is Zimbabwe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030633-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15489430
title: Sample data to "Soil development, mineralogy and organic matter stocks in a West Greenlandic tundra landscape"

description: Data used to describe soil profiles in Kuup Ilua, Disko Island. The dataset contains the following variables:

Transect, Site, Profile, Horizon, Depth [cm], Dryweight, WEight of the coarse fraction, gravimetric water content, 15N, 13C, C content, N content, C/N ratio, Bulk density of the fine soil, cumulative C stock, pH in H2O, soil texture, exchangeable cations (H, As, Ca, Fe, K, Mg, Mn, Na) extracted in BaCl, Soil color, Hydroxylamine extractable iron, sodiumdithionite extractable iron, Al and Si determined by X-ray fluorescence, NaOH-extractable Si
DOI: 10.5281/zenodo.15489431
title: Sample data to "Soil development, mineralogy and organic matter stocks in a West Greenlandic tundra landscape"

description: Data used to describe soil profiles in Kuup Ilua, Disko Island. The dataset contains the following variables:

Transect, Site, Profile, Horizon, Depth [cm], Dryweight, WEight of the coarse fraction, gravimetric water content, 15N, 13C, C content, N content, C/N ratio, Bulk density of the fine soil, cumulative C stock, pH in H2O, soil texture, exchangeable cations (H, As, Ca, Fe, K, Mg, Mn, Na) extracted in BaCl, Soil color, Hydroxylamine extractable iron, sodiumdithionite extractable iron, Al and Si determined by X-ray fluorescence, NaOH-extractable Si
DOI: 10.15468/dl.d7dw65
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Perdicula manipurensis",
 "Country is one of (Myanmar, Thailand, Lao People’s Democratic Republic, Cambodia, Viet Nam, Malaysia)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030634-250827131500795/datasets/export for details.
DOI: 10.15468/dl.s2rc9g
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marphysa sanguinea",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030635-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/dans-xy7-s2rh
title: Velddriel Voorstraat 51 (gemeente Maasdriel) Velddriel, Voorstraat 51 gemeente Maasdriel

description: &lt;p&gt;ADC ArcheoProjecten heeft een Inventariserend Veldonderzoek (IVO) in de vorm van proefsleuven uitgevoerd voor het plangebied Voorstraat 51 te Velddriel in de gemeente Maasdriel. In het plangebied zullen woningen worden gebouwd waarbij eventuele archeologische resten worden vernietigt of ernstig beschadigd.&lt;br&gt;Tijdens het proefsleuvenonderzoek zijn echter geen archeologische sporen of vondsten aangetroffen. De sporen die werden aangetroffen bestaan uit recente sloten, recente greppels en een kuil met recent huisafval.&lt;br&gt;Door het ontbreken van een vindplaats in het plangebied kan en behoeft er geen waardering te worden opgesteld. Dit gebeurt immers alleen wanneer er archeologische resten worden aangetroffen.&lt;br&gt;Vanwege het ontbreken van een vindplaats luidt het advies voor dit gebied dan ook om het vrij te geven voor verdere ontwikkeling.&lt;br&gt;Wij wijzen u erop dat de bevoegde overheid op basis van dit advies een selectiebesluit moet nemen. De mogelijkheid bestaat dat dit selectiebesluit afwijkt van het door ons opgestelde advies.&lt;br&gt;Het is niet geheel uit te sluiten dat buiten het huidige onderzochte gebied toch nog archeologische resten voorkomen. Daarom merken wij op dat het aanbeveling verdient om de uitvoerder van het grondwerk te wijzen op de plicht archeologische vondsten te melden bij de bevoegde overheid, zoals aangegeven in de Erfgoedwet 2016, artikel 5.10.&lt;/p&gt;
DOI: 10.15468/dl.uzd26s
title: Occurrence Download

description: A dataset containing 693 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Luxilus albeolus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 693 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030638-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11588/portal.gsi.68bac37c9469f
title: J. M. Heberle, Bonn
DOI: 10.15468/dl.dx7n2b
title: Occurrence Download

description: A dataset containing 1075647 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carassius auratus, Carassius carassius, Ctenopharyngodon idella, Cyprinus carpio, Esox lucius)",
 "HasCoordinate is true",
 "DecimalLatitude is less than 90",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is less than 180",
 "DecimalLongitude is greater than -180"
 ]
}

 The dataset includes 1075647 records from 1169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030601-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/dans-xu8-9rsq
title: Heerde Veessen Hoogwatergeul Hoogwatergeul Veessen-Wapenveld

description: &lt;p&gt;Bij het proefsleuvenonderzoek zijn in deelgebied 2 twee vondststrooingen aangetroffen met aardewerk, vuursteen, natuursteen en dierlijk botmateriaal. Op basis van het aardewerk zijn deze in de Late Bronstijd te dateren. Tussen beide strooiingen in is een zone aangetroffen met meerdere paalkuilen langs een geul.&lt;br&gt;Deze sporen wordt op basis van twee 14C-dateringen in de Middeleeuwen-Nieuwe tijd gedateerd.&lt;br&gt;In deelgebied 10A zijn sporen uit verschillende perioden aangetroffen. Sporen en vondsten zijn gedaan op de top en op de flank van een rivierduin. Op basis van de analyse van het aardewerk blijkt dat de sporen in werkput 1 en 2 dateren uit de (Laat-)Romeinse tijd, Vroege, Volle en Late Middeleeuwen.&lt;br&gt;Paalkuilen en een mogelijke waterput duiden op een erf of nederzetting in de directe omgeving en verschillende greppels kunnen samenhangen met de inrichting van het landschap (ontginning, verkaveling, erf- of perceelsgrens). In hoeverre er sprake is van bewoningscontinuïteit vanaf de Romeinse tijd tot en met de Late Middeleeuwen is op basis van de huidige resultaten niet te zeggen.&lt;br&gt;Deze gegevens kunnen in het licht van de middeleeuwse kern van het gehucht Vorchten een bijzonder belangrijke bijdrage leveren aan de bewoningsgeschiedenis van dit deel van het IJsseldal.&lt;br&gt;Daarnaast lijkt er in werkput 3 op de flank van het rivierduin een vindplaats uit de prehistorie aanwezig.&lt;br&gt;Het aardewerk uit de zeefvakken kan gedateerd worden in de late prehistorie (einde van de Bronstijd), maar (een deel van) de vuurstenen artefacten zouden ook veel vroeger kunnen zijn gemaakt; in de Midden- of Late Steentijd.&lt;/p&gt;
DOI: 10.6084/m9.figshare.28547042
title: SYNAPSE: An Expert-Annotated Dataset of Symptoms and Demographics for Triage Recommendations

description: Access to timely and accurate healthcare guidance remains a challenge, particularly in Low- and Middle-Income Countries (LMICs). To help bridge this gap, AI-powered symptom checkers can provide preliminary guidance, helping individuals make a critical decision: whether to seek professional medical care or if self-management with over-the-counter (OTC) medication is appropriate.To support the development and validation of these AI-driven clinical triage tools, we introduce SYNAPSE, a large-scale, expert-annotated dataset. Crucially, this dataset does not contain real patient records. Instead, it consists of 130,637 synthetically generated, clinically plausible patient profiles. Each profile was meticulously crafted by combining symptoms, demographic attributes (age group, gender), symptom duration, and overall severity to represent a realistic medical scenario. These profiles were then validated and labeled by teams of medical experts, who provided a final recommendation: either OTC Drug or Doctor Consultation. The process was informed by disease prevalence data and symptom knowledge from sources like the International Classification of Diseases, 11th Revision (ICD-11), ensuring the scenarios are relevant and aligned with global healthcare standards.<br><br>List of Dataset Attributes:<br>Symptoms: (String) A list of symptoms presented in the profile.Gender: (Categorical) The patient's gender (Male, Female).Age_Group: (Categorical) The patient's binned age group, categorized based on clinical and public health relevance (Below 5 years, 6-15 years, 16-45 years (Female), 16-60 years (Male), Above 45 years (Female), Above 60 years (Male)).Duration: (Categorical) Binned duration of symptoms (&lt;= 3 days, &gt; 3 days).Severity: (Categorical) The holistic severity of the case as assessed by an expert (Mild, Moderate, Severe).Final_Recommendation (Target Label): (Categorical) The expert-validated triage recommendation (OTC Drug or Doctor Consultation).<br>
DOI: 10.6084/m9.figshare.28547042.v4
title: SYNAPSE: An Expert-Annotated Dataset of Symptoms and Demographics for Triage Recommendations

description: Access to timely and accurate healthcare guidance remains a challenge, particularly in Low- and Middle-Income Countries (LMICs). To help bridge this gap, AI-powered symptom checkers can provide preliminary guidance, helping individuals make a critical decision: whether to seek professional medical care or if self-management with over-the-counter (OTC) medication is appropriate.To support the development and validation of these AI-driven clinical triage tools, we introduce SYNAPSE, a large-scale, expert-annotated dataset. Crucially, this dataset does not contain real patient records. Instead, it consists of 130,637 synthetically generated, clinically plausible patient profiles. Each profile was meticulously crafted by combining symptoms, demographic attributes (age group, gender), symptom duration, and overall severity to represent a realistic medical scenario. These profiles were then validated and labeled by teams of medical experts, who provided a final recommendation: either OTC Drug or Doctor Consultation. The process was informed by disease prevalence data and symptom knowledge from sources like the International Classification of Diseases, 11th Revision (ICD-11), ensuring the scenarios are relevant and aligned with global healthcare standards.<br><br>List of Dataset Attributes:<br>Symptoms: (String) A list of symptoms presented in the profile.Gender: (Categorical) The patient's gender (Male, Female).Age_Group: (Categorical) The patient's binned age group, categorized based on clinical and public health relevance (Below 5 years, 6-15 years, 16-45 years (Female), 16-60 years (Male), Above 45 years (Female), Above 60 years (Male)).Duration: (Categorical) Binned duration of symptoms (&lt;= 3 days, &gt; 3 days).Severity: (Categorical) The holistic severity of the case as assessed by an expert (Mild, Moderate, Severe).Final_Recommendation (Target Label): (Categorical) The expert-validated triage recommendation (OTC Drug or Doctor Consultation).<br>
DOI: 10.6084/m9.figshare.28547042.v3
title: SYNAPSE: An Expert-Annotated Dataset of Symptoms and Demographics for Triage Recommendations

description: Access to timely and accurate healthcare guidance remains a challenge, particularly in Low- and Middle-Income Countries (LMICs). To help bridge this gap, AI-powered symptom checkers can provide preliminary guidance, helping individuals make a critical decision: whether to seek professional medical care or if self-management with over-the-counter (OTC) medication is appropriate.To support the development and validation of these AI-driven clinical triage tools, we introduce SYNAPSE, a large-scale, expert-annotated dataset. Crucially, this dataset does not contain real patient records. Instead, it consists of 130,637 synthetically generated, clinically plausible patient profiles. Each profile was meticulously crafted by combining symptoms, demographic attributes (age group, gender), symptom duration, and overall severity to represent a realistic medical scenario. These profiles were then validated and labeled by teams of medical experts, who provided a final recommendation: either OTC Drug or Doctor Consultation. The process was informed by disease prevalence data and symptom knowledge from sources like the International Classification of Diseases, 11th Revision (ICD-11), ensuring the scenarios are relevant and aligned with global healthcare standards.<br><br>List of Dataset Attributes:<br>Symptoms: (String) A list of symptoms presented in the profile.Gender: (Categorical) The patient's gender (Male, Female).Age_Group: (Categorical) The patient's binned age group, categorized based on clinical and public health relevance (Below 5 years, 6-15 years, 16-45 years (Female), 16-60 years (Male), Above 45 years (Female), Above 60 years (Male)).Duration: (Categorical) Binned duration of symptoms (&lt;= 3 days, &gt; 3 days).Severity: (Categorical) The holistic severity of the case as assessed by an expert (Mild, Moderate, Severe).Final_Recommendation (Target Label): (Categorical) The expert-validated triage recommendation (OTC Drug or Doctor Consultation).<br>
DOI: 10.15468/dl.cqg2xm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pternistis hartlaubi",
 "Country is one of (Myanmar, Thailand, Lao People’s Democratic Republic, Cambodia, Viet Nam, Malaysia)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030639-250827131500795/datasets/export for details.
DOI: 10.15468/dl.pmpf84
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clitoria laurifolia",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030640-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pms88v
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clitoria laurifolia",
 "Country is Malaysia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030641-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d4a8dh
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clitoria laurifolia",
 "Country is Singapore",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030642-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.