cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/4svjer
title: Psychological Resilience, Optimism-Pessimism, Meaning in Life, SEM + Machine Learning

description: Bu veri seti çalışma başlığında yer alan değişkenlere ilişkin verileri içermektedir.
DOI: 10.5255/ukda-sn-858163
title: Modelling the Cross-Linguistic Pattern of Verb-Marking Deficits in Children With Developmental Language Disorder, 2019-2025

description: WP1.3 - Modelling the cross-linguistic pattern of verb-marking deficits in children with developmental language disorder Daniel Freudenthal, Fernand Gobet, Larry Leonard and Julian Pine (Lead) 


This work package is a modelling project, which uses existing publicly available corpora of naturalistic speech to test different hypotheses about the way typically developing children and children with DLD acquire language (and in particular) verb inflection. Since no behavioural data were collected, there are no spreadsheets of behavioural data to upload. However, where possible, we provide relevant scripts and output and analysis files for the 4 studies that make up the work package.

These files are organised into three folders as follows:

1. Language Learning Paper contains files relating to a study of the effect of adding a defaulting mechanism to MOSAIC – a computational model of the cross-linguistic pattern of verb-marking error. A paper describing this model has been published in Language Learning: 
https://onlinelibrary.wiley.com/doi/10.1111/lang.12580

2. Rescorla Paper contains files relating to a study that uses a modified version of the classic Rescorla-Wagner model to simulate differences in the ease with which both TD children and children with DLD master English and Spanish verb inflection. The simulations show that these differences can be understood in terms of the interaction between a deficit in sequential learning ability and the structure and statistics of English and Spanish child-directed speech. A paper describing this work has been published in Cognitive Science.
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/cogs.12945

3. Deep learning contains files relating to a series of studies in which we investigated the suitability of modern Generative AI models to simulate aspects of language acquistion in both typically developing children and in children with DLD. This work has been published in the proceedings of the Annual Conference of the Cognitive Science society and can be found at the following links:
https://escholarship.org/content/qt9gr4v5rb/qt9gr4v5rb.pdf
https://escholarship.org/content/qt3pg3q39r/qt3pg3q39r.pdf
DOI: 10.5281/zenodo.17708324
title: Code for "Artificial intelligence-driven genome-wide cfDNA promoter profiling from non-invasive prenatal testing for early risk stratification of placenta accreta spectrum: a multicenter study"
DOI: 10.5281/zenodo.17713501
title: Interview guide
title: Interview guide_CIDISTEP
DOI: 10.5281/zenodo.17713498
title: Interview guide
title: Interview guide_CIDISTEP
DOI: 10.25625/n8mvsp/zaiqvf
title: treespecies_ger_entropy_2018.tif
DOI: 10.25625/n8mvsp/gmieh1
title: treespecies_ger_entropy_2019.tif
DOI: 10.25625/n8mvsp/kuzig7
title: treespecies_ger_entropy_2020.tif
DOI: 10.25625/n8mvsp/oyyfck
title: treespecies_ger_entropy_2021.tif
DOI: 10.25625/n8mvsp/0zwkkb
title: treespecies_ger_entropy_2022.tif
DOI: 10.25625/n8mvsp/itdn5x
title: treespecies_ger_entropy_2023.tif
DOI: 10.25625/n8mvsp/sqw2ay
title: treespecies_ger_entropy_2024.tif
DOI: 10.25625/n8mvsp
title: Tree Species Maps Germany - Entropy

description: These maps represent the entropy of the probability maps in arbitrary units. Higher values mean that there is no clear classification, which can indicate a mix of several species or degraded classification performance.
DOI: 10.6084/m9.figshare.30712493
title: Table S3

description: The list of common microbial contaminants is part of the BBTools package developed by Brian Bushnell at the JGI
DOI: 10.6084/m9.figshare.30712493.v1
title: Table S3

description: The list of common microbial contaminants is part of the BBTools package developed by Brian Bushnell at the JGI
DOI: 10.15468/dl.4qzhtq
title: Occurrence Download

description: A dataset containing 1403 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.52883 40.4544,-3.20053 40.4544,-3.20053 40.62567,-3.52883 40.62567,-3.52883 40.4544))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Otis tarda"
 ]
}

 The dataset includes 1403 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007991-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.en2r66
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.52883 40.4544,-3.20053 40.4544,-3.20053 40.62567,-3.52883 40.62567,-3.52883 40.4544))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coracias garrulus"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007994-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17708118
title: Simulated Data
DOI: 10.5281/zenodo.17708117
title: Simulated Data
DOI: 10.6084/m9.figshare.30712484
title: Salmon feed ingridients

description: Economic Returns of Ingredient Substitution in Salmon Feed, 1996–2024.<br>This study quantifies the economic impact of the salmon aquaculture industry's transition from marine-based to plant-based feed ingredients over nearly three decades. We construct a Feed Cost Index for Norwegian salmon aquaculture that explicitly accounts for time-varying feed composition, using monthly commodity price data and documented formulation changes.Key findings:<br>- Maintaining the traditional 1990 formulation (89% marine ingredients) would have increased feed costs by 59% on average during 2015–2023- The transition generated industry savings exceeding 850 million USD annually at current Norwegian production levels<br>- Plant-based formulations reduced feed cost volatility by 28%, improving cost predictability for producers.The dataset contains annual ingredient prices (fish meal, fish oil, soybean meal, rapeseed oil), feed composition shares, and calculated feed costs under actual and counterfactual formulation scenarios. Data sources include World Bank Commodity Markets, Statistics Norway, and published feed composition studies.This research demonstrates that economic incentives have strongly reinforced sustainability-driven changes in salmon feed formulation, with implications for evaluating novel ingredients as they enter commercial production.
DOI: 10.6084/m9.figshare.30712484.v1
title: Salmon feed ingridients

description: Economic Returns of Ingredient Substitution in Salmon Feed, 1996–2024.<br>This study quantifies the economic impact of the salmon aquaculture industry's transition from marine-based to plant-based feed ingredients over nearly three decades. We construct a Feed Cost Index for Norwegian salmon aquaculture that explicitly accounts for time-varying feed composition, using monthly commodity price data and documented formulation changes.Key findings:<br>- Maintaining the traditional 1990 formulation (89% marine ingredients) would have increased feed costs by 59% on average during 2015–2023- The transition generated industry savings exceeding 850 million USD annually at current Norwegian production levels<br>- Plant-based formulations reduced feed cost volatility by 28%, improving cost predictability for producers.The dataset contains annual ingredient prices (fish meal, fish oil, soybean meal, rapeseed oil), feed composition shares, and calculated feed costs under actual and counterfactual formulation scenarios. Data sources include World Bank Commodity Markets, Statistics Norway, and published feed composition studies.This research demonstrates that economic incentives have strongly reinforced sustainability-driven changes in salmon feed formulation, with implications for evaluating novel ingredients as they enter commercial production.
DOI: 10.15468/dl.uj6924
title: Occurrence Download

description: A dataset containing 531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.52883 40.4544,-3.20053 40.4544,-3.20053 40.62567,-3.52883 40.62567,-3.52883 40.4544))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Athene noctua"
 ]
}

 The dataset includes 531 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007995-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wm6bp
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.52883 40.4544,-3.20053 40.4544,-3.20053 40.62567,-3.52883 40.62567,-3.52883 40.4544))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Circus pygargus"
 ]
}

 The dataset includes 170 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007997-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yw6hk9
title: Occurrence Download

description: A dataset containing 974 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros de vertebrados durante el convenio 105- 2017 entre Panthera y la CVC"
 ]
}

 The dataset includes 974 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007996-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17668746
title: Excel Dataset – v1.1.2

description: Automatically uploaded from GitHub release v1.1.2 of repository mwerning/test_zenodo_link.
DOI: 10.5281/zenodo.17708406
title: Data and code for: Islands on the brink: Mapping global threat exposure in a changing world

description: This repository contains the data and code necessary to reproduce the analyses described in the paper "Islands on the brink: Mapping global threat exposure in a changing world." The objective of this study is to assess the exposure of worldwide islands to global change, encompassing three main threats to biodiversity: climate change, biological invasions, and land-use change. This repository contains:



the input dataset (Dataset S1), which includes all markers collected at the island level for the three threats;

the output dataset (Dataset S2), comprising individual threat exposure and cumulative exposure to global change for all 16,578 islands by 2050 under the SSP3 scenario;

the scripts to reproduce the figures and perform the statistical analyses.


The input dataset (Dataset_S1_Markers_3_threats_all_islands.xlsx) contains, for each island from the Weigelt et al. (2013) island list, its identifier, name, biogeographic information, and marker values for three global threats (i.e., CC: climate change, LU: land-use change, BI: biological invasions). Column names and descriptions are detailed in the "METADATA" sheet, and data are displayed in the "Input_Markers_all_isl" sheet. Raw data of the markers were obtained from the sources listed in the "Data collection" section of the Methods. They were freely accessible, and we followed the conditions to access them.

The script to standardize the markers across all islands, calculate exposure values, and derive descriptive statistics is Script1_calculate_exposure.R. It sources the functions that are all enclosed in the script FUN_calculate_global_exposure.R. The input file for this script is based on Dataset S1. However, the Dataset_S1_Markers_3_threats_all_islands.rds file can be used directly to run this script. Then, one can run the scripts Script2_Assess_threat_relative_contribution.R and Script3_characterize_hotspots.R, which perform the relative contribution analysis of each threat within the hotspots and characterize exposure hotpots, respectively. 

The output dataset (Dataset_S2_Exposure_values_all_islands.xlsx) contains the identifier, name, latitude, longitude, individual threat exposure values, and cumulative exposure of each island, calculated under the SSP3 scenario for 2050 (see Methods). Column names and descriptions are detailed in the "METADATA" sheet, and data are displayed in the "Output_Exposure_values" sheet.
DOI: 10.5281/zenodo.17708407
title: Data and code for: Islands on the brink: Mapping global threat exposure in a changing world

description: This repository contains the data and code necessary to reproduce the analyses described in the paper "Islands on the brink: Mapping global threat exposure in a changing world." The objective of this study is to assess the exposure of worldwide islands to global change, encompassing three main threats to biodiversity: climate change, biological invasions, and land-use change. This repository contains:



the input dataset (Dataset S1), which includes all markers collected at the island level for the three threats;

the output dataset (Dataset S2), comprising individual threat exposure and cumulative exposure to global change for all 16,578 islands by 2050 under the SSP3 scenario;

the scripts to reproduce the figures and perform the statistical analyses.


The input dataset (Dataset_S1_Markers_3_threats_all_islands.xlsx) contains, for each island from the Weigelt et al. (2013) island list, its identifier, name, biogeographic information, and marker values for three global threats (i.e., CC: climate change, LU: land-use change, BI: biological invasions). Column names and descriptions are detailed in the "METADATA" sheet, and data are displayed in the "Input_Markers_all_isl" sheet. Raw data of the markers were obtained from the sources listed in the "Data collection" section of the Methods. They were freely accessible, and we followed the conditions to access them.

The script to standardize the markers across all islands, calculate exposure values, and derive descriptive statistics is Script1_calculate_exposure.R. It sources the functions that are all enclosed in the script FUN_calculate_global_exposure.R. The input file for this script is based on Dataset S1. However, the Dataset_S1_Markers_3_threats_all_islands.rds file can be used directly to run this script. Then, one can run the scripts Script2_Assess_threat_relative_contribution.R and Script3_characterize_hotspots.R, which perform the relative contribution analysis of each threat within the hotspots and characterize exposure hotpots, respectively. 

The output dataset (Dataset_S2_Exposure_values_all_islands.xlsx) contains the identifier, name, latitude, longitude, individual threat exposure values, and cumulative exposure of each island, calculated under the SSP3 scenario for 2050 (see Methods). Column names and descriptions are detailed in the "METADATA" sheet, and data are displayed in the "Output_Exposure_values" sheet.
DOI: 10.7910/dvn/nvepou
title: Psychometric Network Analysis

description: Dataset Description: This dataset comprises cross-sectional survey data collected from 966 adolescents (aged 13–19) to investigate the interaction between family functioning and social media addiction. The data was gathered using a random sampling method from high schools.

The dataset includes:

Demographic Variables: Gender, age, grade level, and family characteristics.

Social Media Addiction: Item-level raw scores from the specific scale used to measure addiction symptoms.

Family Functioning: Item-level raw scores representing sub-dimensions (e.g., Problem Solving, Communication, Affective Involvement) of the Family Assessment Device.

Scope and Utility: The data has been screened for outliers and missing values. It is formatted to support Psychometric Network Analysis (PNA), Gaussian Graphical Models (GGM), and Network Comparison Tests (NCT). This dataset allows researchers to replicate the findings regarding gender-specific pathways in adolescent addiction or to conduct secondary analyses on family dynamics.
DOI: 10.15468/dl.cvmmtz
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((94.96626 5.92499,94.29736 4.90197,95.6745 3.80026,97.62217 2.12802,99.23538 -0.40985,102.08803 -4.61996,104.27178 -6.80371,105.8063 -6.23318,107.20312 -2.65262,105.23577 -0.7443,103.99635 0.49512,102.36346 1.28206,100.2584 3.13136,97.18935 5.96433,94.96626 5.92499))",
 "TaxonKey is Sterculia"
 ]
}

 The dataset includes 131 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007998-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48702/3fam8kngjkwq5wtj
title: Argumentationsstrukturanalyse von Erörterungstexten (ARGUE!)

description: Für die Weiterentwicklung eines teilautomatisierten Verfahrens für die qualitative Argumentationsstrukturanalyse von dialektischen Erörterungen (QASA) wurden zu drei verschiedenen Messzeitpunkten (s.u.) insgesamt 48 Erörterungstexte von BA-Studierenden erhoben. Einerseits dienen diese Texte dem Trainieren des QASA-Analysetools. Andererseits soll mithilfe des Textkorpus der Frage nachgegangen werden, auf welcher Qualitätsstufe BA-Studierende eine dialektische Erörterung schreiben, welche eine obligatorische Textsorte in den Deutsch-Prüfungen am Ende der Klassenstufe 10 (Erlangung des mittleren Schulabschlusses) darstellt.
description: Anonymisierte Texterhebung
description: Export aus Gorilla über Excel in Text-Dateien
DOI: 10.15468/dl.ej24tu
title: Occurrence Download

description: A dataset containing 481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.52883 40.4544,-3.20053 40.4544,-3.20053 40.62567,-3.52883 40.62567,-3.52883 40.4544))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Melanocorypha calandra"
 ]
}

 The dataset includes 481 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007999-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17713523
title: Syncretic Research Synthesis Bibliography - Arranged By Date

description: This is a PDF version of my Syncretic Research Synthesis Bibliography - Arranged By Date.  A standard research synthesis and its associated bibliography are curated before research begins, narrowing the field by eliminating irrelevant or poorly structured research from its purview.  A syncretic research synthesis eliminates nothing since its aim is to look for patterns that will emerge from the uncurated collection.  In this sense, it is structured like an LLM running Transformer or RoFormer pattern-recognition algorithms seeking meaning from the chaos.
DOI: 10.5281/zenodo.17713524
title: Syncretic Research Synthesis Bibliography - Arranged By Date

description: This is a PDF version of my Syncretic Research Synthesis Bibliography - Arranged By Date.  A standard research synthesis and its associated bibliography are curated before research begins, narrowing the field by eliminating irrelevant or poorly structured research from its purview.  A syncretic research synthesis eliminates nothing since its aim is to look for patterns that will emerge from the uncurated collection.  In this sense, it is structured like an LLM running Transformer or RoFormer pattern-recognition algorithms seeking meaning from the chaos.
DOI: 10.15468/dl.bfahsj
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample)",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cochliomyia"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008000-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpskzt
title: Occurrence Download

description: A dataset containing 135378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "Geometry POLYGON((-89.69915 7.52736,-78.94285 7.52736,-78.94285 11.82804,-89.69915 11.82804,-89.69915 7.52736))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2025-2025"
 ]
}

 The dataset includes 135378 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007985-251120083545085/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/13866494
title: BOS Kemdikbud
DOI: 10.15468/dl.vjx66d
title: Occurrence Download

description: A dataset containing 41305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 41305 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007013-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48573/ngt4-ze02
title: Surface Groups Antigua and Barbuda 1984-2023
DOI: 10.48573/p8eq-se09
title: Surface Groups Antigua and Barbuda 1984-2023
DOI: 10.48573/12nn-w932
title: Surface Groups Uganda 1984-2021
DOI: 10.48573/844k-2609
title: Surface Groups Uganda 1984-2021
DOI: 10.15468/dl.zqnh3a
title: Occurrence Download

description: A dataset containing 66 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)"
 ]
 }
 },
 "TaxonKey is Allium mongolicum Regel",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 66 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010725-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nj9b95
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenodermichthys Günther, 1878",
 "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 ((8.6827 2.71,8.9648 2.8113,8.9648 10.8496,-0.0352 10.8496,-0.0352 5.0957,0.3816 5.278,1.1532 5.3393,1.5603 5.6976,3.8925 5.9309,4.2618 5.8773,4.5416 5.6356,5.1549 4.4105,5.7546 3.8683,6.2396 3.7859,8.2757 4.0386,7.9361 3.4903,8.1439 2.8795,8.6827 2.71))"
 ]
}

 The dataset includes 53 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010726-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.