cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e148342
title: Code for Production Clustering and Offshoring

description: I introduce a model of international production that allows the production chain to be of any length or number of sourcing countries, while imposing only weak assumptions on the structure of production and trade costs. The production process does not have to be perfectly sequential, and the final goods can be made from any number of independent subchains. I show that in this model, allocation decisions at different stages of production are interdependent, which generates a new channel of proximity-concentration trade-off. The presence of trade costs makes firms cluster their production in certain countries while trade liberalization allows firms to fragment their production more and exploit productivity differences between countries more efficiently. Clustering patterns depend on the characteristics of the production structure, with stronger clustering associated with longer and less connected structures. Clustering intensity in upstream stages of production is generally higher and less affected by exogenous changes in production structure.
DOI: 10.3886/e148342v1
title: Code for Production Clustering and Offshoring

description: I introduce a model of international production that allows the production chain to be of any length or number of sourcing countries, while imposing only weak assumptions on the structure of production and trade costs. The production process does not have to be perfectly sequential, and the final goods can be made from any number of independent subchains. I show that in this model, allocation decisions at different stages of production are interdependent, which generates a new channel of proximity-concentration trade-off. The presence of trade costs makes firms cluster their production in certain countries while trade liberalization allows firms to fragment their production more and exploit productivity differences between countries more efficiently. Clustering patterns depend on the characteristics of the production structure, with stronger clustering associated with longer and less connected structures. Clustering intensity in upstream stages of production is generally higher and less affected by exogenous changes in production structure.
DOI: 10.3886/e137882
title: Replication data and code for: Trade and Urbanization: Evidence from Hungary

description: This depository contains a set of data files and codes that allow for the replication of all results in the paper Trade and Urbanization: Evidence from Hungary.
DOI: 10.3886/e137882v1
title: Replication data and code for: Trade and Urbanization: Evidence from Hungary

description: This depository contains a set of data files and codes that allow for the replication of all results in the paper Trade and Urbanization: Evidence from Hungary.
DOI: 10.3886/e140601
title: Data and Code for: "Fairness through the lens of cooperative game theory: an experimental approach"

description: Data and analysis from "Fairness through the lens of cooperative game theory: an experimental approach"
DOI: 10.3886/e140601v1
title: Data and Code for: "Fairness through the lens of cooperative game theory: an experimental approach"

description: Data and analysis from "Fairness through the lens of cooperative game theory: an experimental approach"
DOI: 10.3886/e120839
title: Data and Code for: "Belief Elicitation When More Than Money Matters: Controlling for Control"

description: Incentive compatible mechanisms for eliciting beliefs typically presume that the<br>utility of money is state independent or that money is the only argument in utility<br>functions. However, subjects may have non-monetary objectives that confound these<br>mechanisms. In particular, psychologists have argued that people favour bets where<br>their ability is involved over equivalent random bets, a so-called preference for control.<br>We propose a new belief elicitation method that mitigates the control preference. Using<br>this method, we determine that under the ostensibly incentive compatible matching<br>probabilities method, subjects report self-beliefs 18% higher than their true beliefs in<br>order to increase control. Non-monetary objectives account for at least 68% of what<br>would normally be measured as overcon fidence. We also find that control manifests<br>itself only as a desire for betting on doing well; betting on doing badly is perceived<br>as a negative. Our mechanism can be used to yield better measurements of beliefs in<br>contexts beyond the study of overcon fidence.<br><br><br>
description: <br>No weighting<br> was used<br>
description: Response Rates: <br>For data collected in Fall 2016, the completion rate was 100%: The totality of participants who showed up in the Lab completed the experiment.<br>For data collected in Spring 2020, the completion rate was 98.6%: 9 subjects (over 619 subjects in total) started but did not complete the experiment.<br><br>
description: Presence of Common Scales: No scales were used<br>
description: The sampling followed the standard protocol for experimental studies conducted with a population of university students:- Participants belong to a database (i.e., subject-pool) of active students interested in participating in experiments.- Invitations indicating the time and date of the session were sent to the database and students could sign up for the sessions until seats were filled.<br>- Only students who signed-up could take part in the study at the selected time.<br><br>
description: - Students at the University of Amsterdam (for both the Fall 2016 and the Spring 2020 dataset) belonging to the subject pool of the CREED Lab.<br><br>- Students at the Ludwig-Maximilians University in Munich (for the Spring 2020 dataset) belonging to the subject pool of the MELESSA Lab.<br><br><br>.
description: computer-assisted personal interview (CAPI); on-site questionnaire;
DOI: 10.5281/zenodo.6863351
title: Pogonocichla stellata decontaminated gx

description: .
DOI: 10.5281/zenodo.6863350
title: Pogonocichla stellata decontaminated gx

description: .
DOI: 10.6084/m9.figshare.20310684
title: Neural and behavioral data from Warriner et al., 2022

description: Neural (silicon probe recording) and behavioral (EMG, 1D kinematics) data from alternation and cocontraction paradigm
DOI: 10.5281/zenodo.6863504
title: Phycis chesteri decontaminated gx

description: .
DOI: 10.5281/zenodo.6863503
title: Phycis chesteri decontaminated gx

description: .
DOI: 10.5281/zenodo.6863514
title: Erythroxylum gonoclados decontaminated gx

description: .
DOI: 10.5281/zenodo.6863513
title: Erythroxylum gonoclados decontaminated gx

description: .
DOI: 10.5281/zenodo.6863540
title: Papilio helenus decontaminated gx

description: .
DOI: 10.5281/zenodo.6863539
title: Papilio helenus decontaminated gx

description: .
DOI: 10.6084/m9.figshare.20334756
title: Predicting Admissions from Triage at a Paediatric Emergency Department - Dataset

description: The final nine variable de-identified dataset used in the paper ‘Development of a low-dimensional model to predict admissions from triage at a paediatric emergency department’ has been provided (outcome and eight predictors). <strong>Any research that makes use of this dataset must reference the original study:</strong> Leonard, F, Gilligan, J, Barrett, MJ. Development of a low-dimensional model to predict admissions from triage at a pediatric emergency department. <em>JACEP Open</em>. 2022; 3:e12779. https://doi.org/10.1002/emp2.12779
DOI: 10.5281/zenodo.6863588
title: Erythroxylum bequaertii decontaminated gx

description: .
DOI: 10.5281/zenodo.6863587
title: Erythroxylum bequaertii decontaminated gx

description: .
DOI: 10.5281/zenodo.6863603
title: Muscicapa adusta decontaminated gx

description: .
DOI: 10.5281/zenodo.6863602
title: Muscicapa adusta decontaminated gx

description: .
DOI: 10.6084/m9.figshare.20341098
title: COVID-19 Knowledge and symptoms July 13th.xlsx

description: The dataset is on knowledge, attitude and practices of young adolescents in a Nigerian university.
DOI: 10.6084/m9.figshare.19099745
title: Included Primary Studies of "Metrics to Estimate Model Comprehension Quality: Insights from a Systematic Literature Review"

description: Conceptual models are an effective and unparalleled means to communicate complicated information with a broad variety of stakeholders in a short period of time. However, in practice, conceptual models often vary in clarity, employed features, communicated content, and overall quality. This potentially impacts model comprehension to a point where models are factually useless. To counter this, guidelines to create “good” conceptual models have been suggested. However, these guidelines are often abstract, hard to operationalize in different modeling languages, partly overlap, or even contradict one another. In addition, no comparative study of proposed guidelines exists so far. This is issue is exacerbated as no established metrics to measure or estimate model comprehension for a given conceptual model exist. In this paper, we present the results of a literature survey investigating 109 publications in the field and discuss metrics to measure model comprehension, their quantification, and their empirical substantiation. Results show that albeit several concrete quantifiable metrics and guidelines have been proposed, concrete evaluative recommendations are largely missing. Moreover, some suggested guidelines are contradictory, and few metrics exist that allow instantiating common frameworks for model quality in a specific way.
DOI: 10.6084/m9.figshare.19099745.v3
title: Included Primary Studies of "Metrics to Estimate Model Comprehension Quality: Insights from a Systematic Literature Review"

description: Conceptual models are an effective and unparalleled means to communicate complicated information with a broad variety of stakeholders in a short period of time. However, in practice, conceptual models often vary in clarity, employed features, communicated content, and overall quality. This potentially impacts model comprehension to a point where models are factually useless. To counter this, guidelines to create “good” conceptual models have been suggested. However, these guidelines are often abstract, hard to operationalize in different modeling languages, partly overlap, or even contradict one another. In addition, no comparative study of proposed guidelines exists so far. This is issue is exacerbated as no established metrics to measure or estimate model comprehension for a given conceptual model exist. In this paper, we present the results of a literature survey investigating 109 publications in the field and discuss metrics to measure model comprehension, their quantification, and their empirical substantiation. Results show that albeit several concrete quantifiable metrics and guidelines have been proposed, concrete evaluative recommendations are largely missing. Moreover, some suggested guidelines are contradictory, and few metrics exist that allow instantiating common frameworks for model quality in a specific way.
DOI: 10.6084/m9.figshare.16763054.v1
title: DNA barcoding evaluation of geophytes: Comparative efficiency of three barcode loci for <i>Anemone (Ranunculaceae)</i> and <i>Gladiolus (Iridaceae)</i>

description: <i>Anemone</i> and <i>Gladiolus</i> are economically important geophyte genera due to their usage as ornamental plants. However, species identification is still under debate. Recently, DNA barcoding has become an efficient alternative tool for species identification. Here, candidate DNA barcode regions, <i>rbcL</i>, <i>rpoB</i>, and <i>trnH-psbA</i> were analyzed as potential DNA barcodes in 248 accessions of these geophyte genera using pair-wise distance-based, sequence similarity (best match and best close match) and tree-based (neighbor joining, maximum likelihood, and Bayesian tree) methods. Among all barcoding single or combination loci, <i>trnH-psbA</i> had the highest interspecific genetic variation in <i>Anemone</i>, and the region was the most promising candidate for barcoding gap analysis. However, none of the barcode regions showed a clear barcode gap for identification. The internal spacer, <i>trnH-psbA</i>, also showed the highest correct identification rate in <i>Anemone</i>, while <i>rbcL</i> showed the best performance in <i>Gladiolus</i> using the sequence similarity method. In the single barcode approach, <i>rpoB</i> had the best discrimination rate for both genera when using tree-based methods. Therefore, we recommend a tree-based method because it was clear that all tested loci had specific performance degrees depending on the methods. This is the first application of <i>rpoB</i> in terms of DNA barcoding criteria in geophyte taxa.
DOI: 10.6084/m9.figshare.16763054
title: DNA barcoding evaluation of geophytes: Comparative efficiency of three barcode loci for <i>Anemone (Ranunculaceae)</i> and <i>Gladiolus (Iridaceae)</i>

description: <i>Anemone</i> and <i>Gladiolus</i> are economically important geophyte genera due to their usage as ornamental plants. However, species identification is still under debate. Recently, DNA barcoding has become an efficient alternative tool for species identification. Here, candidate DNA barcode regions, <i>rbcL</i>, <i>rpoB</i>, and <i>trnH-psbA</i> were analyzed as potential DNA barcodes in 248 accessions of these geophyte genera using pair-wise distance-based, sequence similarity (best match and best close match) and tree-based (neighbor joining, maximum likelihood, and Bayesian tree) methods. Among all barcoding single or combination loci, <i>trnH-psbA</i> had the highest interspecific genetic variation in <i>Anemone</i>, and the region was the most promising candidate for barcoding gap analysis. However, none of the barcode regions showed a clear barcode gap for identification. The internal spacer, <i>trnH-psbA</i>, also showed the highest correct identification rate in <i>Anemone</i>, while <i>rbcL</i> showed the best performance in <i>Gladiolus</i> using the sequence similarity method. In the single barcode approach, <i>rpoB</i> had the best discrimination rate for both genera when using tree-based methods. Therefore, we recommend a tree-based method because it was clear that all tested loci had specific performance degrees depending on the methods. This is the first application of <i>rpoB</i> in terms of DNA barcoding criteria in geophyte taxa.
DOI: 10.15144/s43w2c
title: MITgcm_ACC_AABW experiments, for the study of AABW dynamics in the ACC
DOI: 10.15468/dl.e2cx8k
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009627-250827131500795/datasets/export for details.
DOI: 10.15468/dl.gry79z
title: Occurrence Download

description: A dataset containing 286 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gladiolus undulatus",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 286 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009628-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ekuhwc
title: Occurrence Download

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

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009629-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6vn89
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Haplochromis bullatus, Haplochromis bwathondii, Haplochromis cassius, Haplochromis cavifrons, Haplochromis chilotes, Haplochromis chlorochrous, Haplochromis chromogynos, Haplochromis chrysogynaion, Haplochromis cinctus, Haplochromis cinereus, Haplochromis cnester, Haplochromis commutabilis, Haplochromis coprologus, Haplochromis crassilabris, Haplochromis crebridens, Haplochromis crocopeplus, Haplochromis cronus, Haplochromis cryptodon, Haplochromis cryptogramma, Haplochromis decticostoma, Haplochromis degeni, Haplochromis demeusii, Thoracochromis demeusii, Haplochromis dentex, Haplochromis desfontainii, Haplochromis dichrourus, Haplochromis diplotaenia, Haplochromis dolichorhynchus, Haplochromis dolorosus, Haplochromis eduardianus, Haplochromis eduardii, Haplochromis elegans, Haplochromis empodisma, Haplochromis engystoma, Haplochromis erythrocephalus, Haplochromis erythromaculatus, Haplochromis estor, Haplochromis eutaenia, Haplochromis exspectatus, Haplochromis fasciatus, Thoracochromis fasciatus, Haplochromis fischeri, Haplochromis flavipinnis, Haplochromis flavus, Haplochromis fuscus, Haplochromis fusiformis, Haplochromis gigas, Haplochromis gilberti, Haplochromis goldschmidti, Haplochromis gowersii, Haplochromis gracilior, Haplochromis granti, Haplochromis graueri, Haplochromis greenwoodi, Haplochromis guiarti, Haplochromis harpakteridion, Haplochromis heusinkveldi, Haplochromis hiatus, Haplochromis howesi, Haplochromis humilior, Haplochromis igneopinnis, Haplochromis insidiae, Haplochromis iris, Haplochromis ishmaeli, Haplochromis kamiranzovu, Haplochromis katavi, Haplochromis katonga, Haplochromis katunzii, Haplochromis kujunjui, Haplochromis labiatus, Haplochromis labriformis, Haplochromis lacrimosus, Haplochromis laparogramma, Haplochromis latifasciatus, Haplochromis limax, Haplochromis lividus, Haplochromis loati, Haplochromis longirostris, Haplochromis lucullae, Thoracochromis lucullae, Haplochromis luluae, Haplochromis luteus, Haplochromis macconneli, Haplochromis macrocephalus, Haplochromis macrognathus, Haplochromis macropsoides, Haplochromis maculipinna, Haplochromis mahagiensis, Haplochromis maisomei, Haplochromis malacophagus, Haplochromis mandibularis, Haplochromis martini, Haplochromis maxillaris, Haplochromis mbipi, Haplochromis megalops, Haplochromis melanopterus, Haplochromis melanopus, Haplochromis melichrous, Haplochromis mentatus, Haplochromis mento)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((46.8392 -11.8033,47.0739 -12.037,47.4888 -12.0535,47.8142 -11.7664,47.8606 -11.3694,47.5422 -11.0403,47.0944 -11.1109,46.8389 -11.3512,46.8392 -11.8033))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009630-250827131500795/datasets/export for details.
DOI: 10.3535/47d-ln7-7v5
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g86-vw0-8mq
title: Sphingidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/slg-afy-syx
title: Nymphalidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/d0z-nhm-8lk
title: Nymphalidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pcg-he0-y5t
title: Nymphalidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bab-g1b-r3h
title: Nymphalidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ah1-kty-exx
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ah2-8jd-j88
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hyq-m8f-zde
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k3r-738-kv6
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ake-r04-bk0
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k9c-dg5-qft
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q6q-b6x-xw8
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gt4-5w4-7xd
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pca-ble-h87
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pgt-nsq-8ky
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v13-mjf-xsr
title: Danainae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vvd-gbn-har
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zv7-pf3-075
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/429-ahh-7eh
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e3j-2h0-yk9
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p4s-qvp-yp9
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wbd-16m-34v
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/243-h2l-bhd
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pnd-7p1-tsg
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vs2-adz-nnw
title: Lithosiini Billberg, 1820

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/31e-y4m-qj9
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3gd-d5n-1en
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5bd-knt-r6a
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5rq-qqt-ta5
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a07-gfv-6qk
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lgn-7yt-bte
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.