cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.u3cnfc
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bromus plurinodis Keng",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 23 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263176-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pv3kp3
title: Occurrence Download

description: A dataset containing 238 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cleistoblechnum eburneum (Christ) Gasper & Salino"
 ]
}

 The dataset includes 238 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0252279-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xsryw8
title: Occurrence Download

description: A dataset containing 503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tapirus pinchaque (Roulin, 1829)"
 ]
}

 The dataset includes 503 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0249019-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwy4d8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bulbophyllum chondriophorum (Gagnep.) Seidenf.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263185-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2pqcxj
title: Occurrence Download

description: A dataset containing 1067 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Aloidendron (A.Berger) Klopper & Gideon F.Sm."
 ]
}

 The dataset includes 1067 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0252280-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m9dh7n
title: Occurrence Download

description: A dataset containing 288 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Macroinvertebrate abundance in montane tropical streams of varying land-use, Ecuador"
 ]
}

 The dataset includes 288 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0248346-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9w22g
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mactra grandis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 37 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002189-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vey6fn
title: Occurrence Download

description: A dataset containing 70312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cuculiformes)",
 "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 -60,30 -60,30 -30,0 -30,0 -60))"
 ]
}

 The dataset includes 70312 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002138-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/pee4z6
title: G20 subnational legislatures

description: This dataset gathers several information related to subnational legislatures of G20 countries. It lists subnational lower and upper house seats, population, subnational population per subnational seat and area in km². 
The dataset holds textual data (national and subnational unit names) and quantitative and discret numerical data. All data are raw besides population per subnational seat that simply divides total subnational seats by subnational unit population and this displays minimal processing. 
This dataset aims at making comparative political studies possible thus improving studies on subnational legislatures that have been largely ignored by relevant literature, possibly due to the lack of centrally located data. 
Further details such as guides and sources can be found in the READ_ME documents attached.
description: 2 READ_ME .txt files
19 excel files for per country subnational legislatures
1 excel file for a general overview of all subnational legislatures ranked by population size from least to most populous
DOI: 10.15468/dl.x5ec39
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rinodina interpolata",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 22 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023319-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z8ayyj
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Glossocardia bosvallia"
 ]
}

 The dataset includes 27 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023320-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z6znez
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rinodina teichophila",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023321-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/cycsf5
title: KUO Mollusca collections

description: Dried and liquid preserved specimens
DOI: 10.15468/hm6zdb
title: KUO Lepidoptera collections (world)

description: Scientifically arranged Lepidoptera collection of the world
DOI: 10.15468/sq4vxv
title: KUO Crustacea collections

description: Dried and liquid preserved specimens
DOI: 10.15468/9zhg3m
title: KUO Orthoptera collections

description: Dried specimens
DOI: 10.15468/zgac4c
title: ZMUO Coll. Saalas

description: Data on beetles (Coleoptera) in the collection of professor Uunio Saalas (1882-1969, known as Unio Sahlberg until 1906). Most of the specimens have been collected in Finland and the regions ceded by Finland to Soviet Union after World War II. In addition to specimens collected by Saalas himself, his collection includes material collected by his father John Sahlberg and various contemporary colleagues.
DOI: 10.15468/dl.vyptap
title: Occurrence Download

description: A dataset containing 211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Gomphrena affinis"
 ]
}

 The dataset includes 211 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023323-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2fnjdq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rinodina metaboliza",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023324-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hagehg
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rinodina parasitica",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023325-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6q9xet
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Gomphrena brachystylis"
 ]
}

 The dataset includes 157 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023326-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3s9r22
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rinodina laevigata",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023327-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/h19b-ve35
title: "Automatic descriptive answer evaluator using machine learning."

description: "Automating the evaluation of descriptive answers would be beneficial for academic institutions to efficiently manage the online exam results of their students. Our project involves designing an algorithm to automatically evaluate descriptive answers consisting of multiple sentences. Our approach involves representing the student's answer and comparing it with pre-defined answers created by the staff. To evaluate the answer, we use a pattern-matching algorithm and various modules to achieve efficient evaluation without manual labor. This pattern can be used by many organizations to reduce manpower and save time. Natural Language Processing (NLP) aims to interpret human language in a meaningful way and typically involves machine learning techniques. Evaluating the objective function involves assessing candidate solutions against a portion of the training dataset, usually measured by an error score or loss. While the objective function is easy to define, evaluating it can be costly."
DOI: 10.15468/dl.72mer6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rinodina orculata",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023328-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.25gdv9
title: Occurrence Download

description: A dataset containing 318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Gomphrena caespitosa"
 ]
}

 The dataset includes 318 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023329-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18666103
title: Automatic descriptive answer evaluator using machine learning.

description: Automating the evaluation of descriptive answers would be beneficial for academic institutions to

efficiently manage the online exam results of their students. Our project involves designing an

algorithm to automatically evaluate descriptive answers consisting of multiple sentences. Our

approach involves representing the student's answer and comparing it with pre-defined answers

created by the staff. To evaluate the answer, we use a pattern-matching algorithm and various

modules to achieve efficient evaluation without manual labor. This pattern can be used by many

organizations to reduce manpower and save time. Natural Language Processing (NLP) aims to

interpret human language in a meaningful way and typically involves machine learning techniques.

Evaluating the objective function involves assessing candidate solutions against a portion of the

training dataset, usually measured by an error score or loss. While the objective function is easy to

define, evaluating it can be costly.
DOI: 10.5281/zenodo.18666102
title: Automatic descriptive answer evaluator using machine learning.

description: Automating the evaluation of descriptive answers would be beneficial for academic institutions to

efficiently manage the online exam results of their students. Our project involves designing an

algorithm to automatically evaluate descriptive answers consisting of multiple sentences. Our

approach involves representing the student's answer and comparing it with pre-defined answers

created by the staff. To evaluate the answer, we use a pattern-matching algorithm and various

modules to achieve efficient evaluation without manual labor. This pattern can be used by many

organizations to reduce manpower and save time. Natural Language Processing (NLP) aims to

interpret human language in a meaningful way and typically involves machine learning techniques.

Evaluating the objective function involves assessing candidate solutions against a portion of the

training dataset, usually measured by an error score or loss. While the objective function is easy to

define, evaluating it can be costly.
DOI: 10.15468/dl.c7jgxf
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rinodina sophodes",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 30 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023330-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxsb2s
title: Occurrence Download

description: A dataset containing 13609 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 "TaxonKey is one of (Dryophytes cinereus [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 13609 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023332-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a892wk
title: Occurrence Download

description: A dataset containing 1696 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Gomphrena canescens"
 ]
}

 The dataset includes 1696 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023334-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14863590
title: Automatic descriptive answer evaluator using ML.
DOI: 10.15468/dl.k5udvs
title: Occurrence Download

description: A dataset containing 689 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Material sample, Specimen, Material citation)",
 "Continent is one of (North America, South America)",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Country derived from coordinates, Continent derived from coordinates, The scientific name ID was not found in the checklist, The taxon ID was not found in the checklist, Occurrence status inferred from individual count)",
 "OccurrenceStatus is Present",
 "TaxonKey is Herpailurus yagouaroundi"
 ]
}

 The dataset includes 689 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023333-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18665986
title: Supplementary materials for: Spatiotemporal variability of precipitation isotopes in Colombia inferred with machine learning: Caribbean, Pacific and Andean regions

description: This Zenodo record contains the supplementary files associated with the manuscript:“Spatiotemporal variability of precipitation isotopes in Colombia inferred with machine learning: Caribbean, Pacific and Andeanregions”.

Contents:1) Supplementary_Information.zip   - Figure S1: Station-level boxplots used for exploratory QC   - Figure S2: Regional distribution of station-wise RMSE   - Figure S3: Station-wise RMSE versus elevation   - Table S1: Predictor inventory   - Table S2: Station-level performance metrics   - Table S3: Regional summaries of station-wise RMSE

2) Supplementary_Data_Isoscapes.zip   - Monthly isoscapes (GeoTIFF) for δ18O, δ2H and d-excess (dxs), 1971–2024 (0.5°×0.5°)   - Supplementary Video S1 (animation)

3) Supplementary_Methods_Scripts.zip   - R scripts used to compile predictors, prepare observations, train models, and generate gridded and point-based outputs.   - README describing workflow structure and provenance (adapted from the Piso.AI workflow; Nelson et al., 2021).

Note: Climate predictors and teleconnection indices used as inputs are publicly available from their official providers; isotope observations were compiled from GNIP (IAEA/WMO) and national/regional sources, preserving station-level provenance.

Contact: bsbenavidesb@unal.edu.co
DOI: 10.5281/zenodo.18665985
title: Supplementary materials for: Spatiotemporal variability of precipitation isotopes in Colombia inferred with machine learning: Caribbean, Pacific and Andean regions

description: This Zenodo record contains the supplementary files associated with the manuscript:“Spatiotemporal variability of precipitation isotopes in Colombia inferred with machine learning: Caribbean, Pacific and Andeanregions”.

Contents:1) Supplementary_Information.zip   - Figure S1: Station-level boxplots used for exploratory QC   - Figure S2: Regional distribution of station-wise RMSE   - Figure S3: Station-wise RMSE versus elevation   - Table S1: Predictor inventory   - Table S2: Station-level performance metrics   - Table S3: Regional summaries of station-wise RMSE

2) Supplementary_Data_Isoscapes.zip   - Monthly isoscapes (GeoTIFF) for δ18O, δ2H and d-excess (dxs), 1971–2024 (0.5°×0.5°)   - Supplementary Video S1 (animation)

3) Supplementary_Methods_Scripts.zip   - R scripts used to compile predictors, prepare observations, train models, and generate gridded and point-based outputs.   - README describing workflow structure and provenance (adapted from the Piso.AI workflow; Nelson et al., 2021).

Note: Climate predictors and teleconnection indices used as inputs are publicly available from their official providers; isotope observations were compiled from GNIP (IAEA/WMO) and national/regional sources, preserving station-level provenance.

Contact: bsbenavidesb@unal.edu.co