cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jbv6my
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panthea furcilla Packard, 1864",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Switzerland",
 "Country is Switzerland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0396236-210914110416597/datasets/export for details.
DOI: 10.15468/dl.74g5cq
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Elaphurus davidianus Milne-Edwards, 1866"
 ]
}

 The dataset includes 97 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0100996-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ym6f6
title: Occurrence Download

description: A dataset containing 4515 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Tanakia koreensis (Kim & Kim, 1990))"
 ]
}

 The dataset includes 4515 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014450-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ueka3
title: Occurrence Download

description: A dataset containing 5853 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 5853 records from 212 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293242-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxejj4
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bromus tunicatus Phil."
 ]
}

 The dataset includes 72 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0101040-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ean647
title: Occurrence Download

description: A dataset containing 16052 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bromus squarrosus L."
 ]
}

 The dataset includes 16052 records from 417 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0100995-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/3u8vf7
title: Coral and sponge observations in deep sea canyons and on seamounts in the Northwest Atlantic

description: Observations of porifera and cnidarian on the New England Seamount Chain and in deep sea canyons in the Northwestern Atlantic continental margin. Observations were made using underwater video footage collected by the Okeanos Explorers’ ROV Deep Discoverer on cruise legs EX1404L1, EX1404L2 and EX1404L3. Individuals were classified to the lowest possible taxonomic unit and matched to equal or lowest level of taxon in the World Register of Marine Species (WoRMS). This dataset describes the site and identifies the location and depth of taxonomic observations. Funding to standardize these data to the Darwin Core for sharing through the Ocean Biodiversity Information System was from NOAA grant NA15NOA4000200. This dataset provides 1749 machine-readable observations of deep sea sponges and corals.
DOI: 10.15468/dl.s9c9eg
title: Occurrence Download

description: A dataset containing 10658 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ophiorrhiza L."
 ]
}

 The dataset includes 10658 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293260-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cs3tnn
title: Occurrence Download

description: A dataset containing 142648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea nigra L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 142648 records from 410 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293228-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.53nv2h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Microcebus bongolavensis Olivieri, Zimmermann, Randrianambinina, Rassoloharijaona, Rakotondravony, Gsuchanski et al., 2006",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029328-250525065834625/datasets/export for details.
DOI: 10.7910/dvn/lp3dat
title: Replication Data for: What Patents on AI Derived Drugs Reveal

description: This dataset supports replication for an article entitled "What Patents on AI-Derived Drugs Reveal."
DOI: 10.15468/dl.zg7gph
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Microcebus boraha Hotaling, Foley, Lawrence, Bocanegra, Blanco et al., 2016",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029329-250525065834625/datasets/export for details.
DOI: 10.15468/dl.pzwhvq
title: Occurrence Download

description: A dataset containing 6950 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Juniperus excelsa M.-Bieb., Juniperus foetidissima Willd., Juniperus formosana Hayata, Juniperus gaussenii W.C.Cheng, Juniperus indica Bertol., Juniperus komarovii Florin, Juniperus macrocarpa Sibth. & Sm., Juniperus mairei Lemée & Lév., Juniperus microsperma (W.C.Cheng & L.K.Fu) R.P.Adams, Juniperus morrisonicola Hayata)",
 "HasCoordinate is true",
 "Year is greater than 1900"
 ]
}

 The dataset includes 6950 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029330-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddtyvt
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is da86174a-a605-43a4-a5e8-53d484152cd3",
 "TaxonKey is Plantago rugelii Decne."
 ]
}

 The dataset includes 39 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029331-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jbkrye
title: Occurrence Download

description: A dataset containing 129516 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acer rubrum L."
 ]
}

 The dataset includes 129516 records from 433 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029326-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/7g61-g612
title: "Comparisons of ALNS, IGwS, and MPGA"

description: "Comparisons of ALNS, IGwS, and MPGA"
DOI: 10.15468/dl.ymdmuj
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Microcebus danfossi Olivieri, Zimmermann, Randrianambinina, Rassoloharijaona, Rakotondravony, Gsuchanski et al., 2006",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029332-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-2170111752
title: The Netherlands BAG

description: The Netherlands BAG comprises structural biology and enzymology groups at five dutch universities (Utrecht, Groningen, Leiden, Eindhoven and Wageningen) and at the Netherlands Cancer Institute in Amsterdam, with a total of thirteen PIs. The research projects carried out in these groups can be largely classified into two major themes: (i) research on proteins and systems with a strong biomedical relevance and (ii) research concerning the design of new biocatalysts for green chemistry and new-to-nature reactions. Projects deal with prokaryotic and eukaryotic proteins, membrane and soluble proteins, cell surface receptors, and protein-protein, protein-ribonucleotide, protein-drug and enzyme-ligand complexes.
DOI: 10.6084/m9.figshare.29264705
title: Desmitis of the palmar or plantar ligaments of the proximal interphalangeal joint: a descriptive case series. .xlsx

description: Data set from the article Desmitis of the palmar or plantar ligaments of the proximal interphalangeal joint: a descriptive case series, published in the Equine Veterinary Journal Special edition.
DOI: 10.6084/m9.figshare.29264705.v1
title: Desmitis of the palmar or plantar ligaments of the proximal interphalangeal joint: a descriptive case series. .xlsx

description: Data set from the article Desmitis of the palmar or plantar ligaments of the proximal interphalangeal joint: a descriptive case series, published in the Equine Veterinary Journal Special edition.
DOI: 10.15468/dl.57q796
title: Occurrence Download

description: A dataset containing 12268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Carollia perspicillata (Linnaeus, 1758)"
 ]
}

 The dataset includes 12268 records from 284 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029333-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sbtmcv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Microcebus ganzhorni Hotaling, Foley, Lawrence, Bocanegra, Blanco et al., 2016",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029334-250525065834625/datasets/export for details.
DOI: 10.15468/dl.mdks72
title: Occurrence Download

description: A dataset containing 490026 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((5.60646 50.73556,6.09777 50.73556,6.09777 50.90652,5.60646 50.90652,5.60646 50.73556))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2020-2025"
 ]
}

 The dataset includes 490026 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029300-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gncn3t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Microcebus gerpi Radespiel, Ratsimbazafy, Rasoloharijaona, Raveloson, Andriaholinirina, Rakotondravony et al., 2011",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029336-250525065834625/datasets/export for details.
DOI: 10.15468/dl.tjzf2u
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Microcebus griseorufus Kollman, 1910",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 20 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029337-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fbk34m
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Microcebus jollyae Louis Jr., Coles, Andriantompohavana, Sommer, Engberg, Zaonarivelo, Mayor & Brenneman, 2006",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 110 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029339-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15103504
title: Data for the training section of "Differentiating Emigration from Return Migration of Scholars Using Name-Based Nationality Detection Models" paper

description: This repository includes the dataset for the training section of "Differentiating Emigration from Return Migration of Scholars Using Name-Based Nationality Detection Models."

 

 

Article title: Differentiating Emigration from Return Migration of Scholars Using Name-Based Nationality Detection Models

Published in: ICWSM 2025

Manuscript authors: Faeze Ghorbanpour, Thiago Zordan Malaguth, and Aliakbar Akbaritabar

Article DOI: https://doi.org/10.1609/icwsm.v19i1.35836

Abstract: Most web and digital trace data do not include information about an individual's nationality due to privacy concerns. The lack of data on nationality can create challenges for migration research. It can lead to a left-censoring issue since we are uncertain about the migrant's country of origin. Once we observe an emigration event, if we know the nationality, we can differentiate it from return migration. We propose methods to detect the nationality with the least available data, i.e., full names. We use the detected nationality in comparison with the country of academic origin, which is a common approach in studying the migration of researchers. We gathered 2.6 million unique name-nationality pairs from Wikipedia and categorized them into families of nationalities with three granularity levels to use as our training data. Using a character-based machine learning model, we achieved a weighted F1 score of 84% for the broadest- and 67%, for the most granular, country-level categorization. In our empirical study, we used the trained and tested model to assign nationality to 8+ million scholars' full names in Scopus data. Our results show that using the country of first publication as a proxy for nationality underestimates the size of return flows, especially for countries with a more diverse academic workforce, such as the USA, Australia, and Canada. We found that around 48% of emigration from the USA was return migration once we used the country of name origin in contrast to 33% based on academic origin. In the most recent period, 79% of scholars whose affiliation has consistently changed from the USA to China, and are considered emigrants, have Chinese names in contrast to 41% with a Chinese academic origin. Our proposed methods in addressing left-censoring issues are beneficial for other research that uses digital trace data to study migration.
DOI: 10.5281/zenodo.15103505
title: Data for the training section of "Differentiating Emigration from Return Migration of Scholars Using Name-Based Nationality Detection Models" paper

description: This repository includes the dataset for the training section of "Differentiating Emigration from Return Migration of Scholars Using Name-Based Nationality Detection Models."

 

 

Article title: Differentiating Emigration from Return Migration of Scholars Using Name-Based Nationality Detection Models

Published in: ICWSM 2025

Manuscript authors: Faeze Ghorbanpour, Thiago Zordan Malaguth, and Aliakbar Akbaritabar

Article DOI: https://doi.org/10.1609/icwsm.v19i1.35836

Abstract: Most web and digital trace data do not include information about an individual's nationality due to privacy concerns. The lack of data on nationality can create challenges for migration research. It can lead to a left-censoring issue since we are uncertain about the migrant's country of origin. Once we observe an emigration event, if we know the nationality, we can differentiate it from return migration. We propose methods to detect the nationality with the least available data, i.e., full names. We use the detected nationality in comparison with the country of academic origin, which is a common approach in studying the migration of researchers. We gathered 2.6 million unique name-nationality pairs from Wikipedia and categorized them into families of nationalities with three granularity levels to use as our training data. Using a character-based machine learning model, we achieved a weighted F1 score of 84% for the broadest- and 67%, for the most granular, country-level categorization. In our empirical study, we used the trained and tested model to assign nationality to 8+ million scholars' full names in Scopus data. Our results show that using the country of first publication as a proxy for nationality underestimates the size of return flows, especially for countries with a more diverse academic workforce, such as the USA, Australia, and Canada. We found that around 48% of emigration from the USA was return migration once we used the country of name origin in contrast to 33% based on academic origin. In the most recent period, 79% of scholars whose affiliation has consistently changed from the USA to China, and are considered emigrants, have Chinese names in contrast to 41% with a Chinese academic origin. Our proposed methods in addressing left-censoring issues are beneficial for other research that uses digital trace data to study migration.
DOI: 10.15468/dl.vmebze
title: Occurrence Download

description: A dataset containing 103526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Juniperus oxycedrus L., Juniperus pingii W.C.Cheng, Juniperus polycarpos K.Koch, Juniperus procera Hochst. ex Endl., Juniperus procumbens (Siebold ex Endl.) Miq., Juniperus przewalskii Kom., Juniperus pseudosabina Fisch. & C.A.Mey., Juniperus recurva Buch.-Ham. ex D.Don, Juniperus rigida Siebold & Zucc., Juniperus sabina L.)",
 "HasCoordinate is true",
 "Year is greater than 1900"
 ]
}

 The dataset includes 103526 records from 682 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029335-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ayffm7
title: Occurrence Download

description: A dataset containing 2550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "DatasetKey is Pl@ntNet observations",
 "OccurrenceStatus is Present",
 "PublishingOrg is da86174a-a605-43a4-a5e8-53d484152cd3",
 "TaxonKey is Brassica napus L.",
 "Year 2018-2024"
 ]
}

 The dataset includes 2550 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029340-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6nhrn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Microcebus jonahi Schüssler, Blanco, Salmona, Poelstra, Andriambeloson, Miller, Randrianambinina et al., 2020",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029341-250525065834625/datasets/export for details.
DOI: 10.21979/n9/i74zp1
title: Replication Data for: Topologically Enhanced Harmonic Generation in a Nonlinear Transmission Line Metamaterial

description: Data and computer code used to produce the experiment and theory plots in the paper "Topologically Enhanced Harmonic Generation in a Nonlinear Transmission Line Metamaterial" by Y. Wang, L.-J. Lang, C. H. Lee, B. Zhang, and Y. D. Chong.
DOI: 10.21979/n9/nirxof
title: Replication Data for: Non-Hermitian Dirac Cones

description: data for the paper "Non-Hermitian Dirac Cones".
DOI: 10.21979/n9/to2hbx
title: Related Data for COMET: Convolutional Dimension Interaction for Collaborative Filtering

description: Latent factor models play a dominant role among recommendation techniques. However, most of the existing latent factor models assume both historical interactions and embedding dimensions are independent of each other, and thus regrettably ignore the high-order interaction information among historical interactions and embedding dimensions. In this paper, we propose a novel latent factor model called COMET (COnvolutional diMEnsion inTeraction), which simultaneously model the high-order interaction patterns among historical interactions and embedding dimensions. To be specific, COMET stacks the embeddings of historical interactions horizontally at first, which results in two "embedding maps". In this way, internal interactions and dimensional interactions can be exploited by convolutional neural networks with kernels of different sizes simultaneously. A fully-connected multi-layer perceptron is then applied to obtain two interaction vectors. Lastly, the representations of users and items are enriched by the learnt interaction vectors, which can further be used to produce the final prediction. Extensive experiments and ablation studies on various public implicit feedback datasets clearly demonstrate the effectiveness and the rationality of our proposed method.