cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.cvvm5n
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",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Tyrannus tyrannus)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008067-250711103210423/datasets/export for details.
DOI: 10.15468/dl.sepwz3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parietaria floridana",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008068-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.drg4we
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACF2784"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008069-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3dgnhv
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Tyrannus tyrannus)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008070-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29554583
title: Mapping Impact: Leverage Socioeconomic Data to Address Food Insecurity

description: Files from my presentation at the 2025 ESRI User Conference<br>Advocacy is crucial for food banks to raise awareness about food insecurity and their role in combating it. Often working behind the scenes, food banks must share their impact with the public and policymakers. Data can provide measurable evidence of the scope and disparities of food insecurity. The Food Bank Council of Michigan's interactive map, featuring built-in infographics, summarizes food insecurity and socioeconomic data for Michigan's 87 counties, serving as a powerful advocacy and educational tool, highlighting the collective efforts to alleviate food insecurity statewide.Files from my presentation at the 2025 ESRI User Conference<br>Advocacy is crucial for food banks to raise awareness about food insecurity and their role in combating it. Often working behind the scenes, food banks must share their impact with the public and policymakers. Data can provide measurable evidence of the scope and disparities of food insecurity. The Food Bank Council of Michigan's interactive map, featuring built-in infographics, summarizes food insecurity and socioeconomic data for Michigan's 87 counties, serving as a powerful advocacy and educational tool, highlighting the collective efforts to alleviate food insecurity statewide.Link to the StoryMapContains 3 Files:The Infographic template from ESRI's Business Analyst (.brpt)The Excel File with Metadata Tab (data sources and notes on calculations specific to the infographic) (.xlxs)Enriched Shapefile used to create the Infographic (.zip)<br>
DOI: 10.6084/m9.figshare.29554583.v1
title: Mapping Impact: Leverage Socioeconomic Data to Address Food Insecurity

description: Files from my presentation at the 2025 ESRI User Conference<br>Advocacy is crucial for food banks to raise awareness about food insecurity and their role in combating it. Often working behind the scenes, food banks must share their impact with the public and policymakers. Data can provide measurable evidence of the scope and disparities of food insecurity. The Food Bank Council of Michigan's interactive map, featuring built-in infographics, summarizes food insecurity and socioeconomic data for Michigan's 87 counties, serving as a powerful advocacy and educational tool, highlighting the collective efforts to alleviate food insecurity statewide.Files from my presentation at the 2025 ESRI User Conference<br>Advocacy is crucial for food banks to raise awareness about food insecurity and their role in combating it. Often working behind the scenes, food banks must share their impact with the public and policymakers. Data can provide measurable evidence of the scope and disparities of food insecurity. The Food Bank Council of Michigan's interactive map, featuring built-in infographics, summarizes food insecurity and socioeconomic data for Michigan's 87 counties, serving as a powerful advocacy and educational tool, highlighting the collective efforts to alleviate food insecurity statewide.Link to the StoryMapContains 3 Files:The Infographic template from ESRI's Business Analyst (.brpt)The Excel File with Metadata Tab (data sources and notes on calculations specific to the infographic) (.xlxs)Enriched Shapefile used to create the Infographic (.zip)<br>
DOI: 10.15468/dl.9q7ned
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urtica urens",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 33 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008072-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3qjde5
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Etheostoma blennioides gutselli"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008073-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aus468
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",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Turdus migratorius)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008076-250711103210423/datasets/export for details.
DOI: 10.15468/dl.gkdqrk
title: Occurrence Download

description: A dataset listing the 310 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-89.21892 43.23097,-88.59979 43.23097,-88.61036 43.59651,-89.21258 43.60238,-89.21892 43.50387,-89.21892 43.23097))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 310 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008064-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t3beuc
title: Occurrence Download

description: A dataset containing 47923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Turdus migratorius)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 47923 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008075-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.juu4gx
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poecilichthys gutselli"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008077-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y5t7v3
title: Occurrence Download

description: A dataset containing 233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Azadirachta indica",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 233 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008078-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.djscun
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",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Turdus migratorius)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008079-250711103210423/datasets/export for details.
DOI: 10.15468/dl.z3rtpn
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chinapotamon depressum"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008080-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9py5nm
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",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Turdus migratorius)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008082-250711103210423/datasets/export for details.
DOI: 10.15468/dl.nhrbjj
title: Occurrence Download

description: A dataset containing 679 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Etheostoma jessiae"
 ]
}

 The dataset includes 679 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008081-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z5xd9c
title: Occurrence Download

description: A dataset containing 634 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melia azedarach",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 634 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008083-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n8ndvz
title: Occurrence Download

description: A dataset containing 1037 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, June, May, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Clitellata",
 "Year 1045-2025"
 ]
}

 The dataset includes 1037 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008084-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e93epz
title: Occurrence Download

description: A dataset containing 293347 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Helianthemum nummularium"
 ]
}

 The dataset includes 293347 records from 1467 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008028-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cfnbtn
title: Occurrence Download

description: A dataset containing 386050 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Europe, Asia)",
 "Month is one of (April, May, June, August, September, October, July)",
 "TaxonKey is Calidris minuta"
 ]
}

 The dataset includes 386050 records from 507 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014514-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/vne2-vj93
title: "Cancer Cell Line Drug Knowledge Graph"

description: "In our study, the CCD-KG comprises 87069 relationships, encompassing interactions among drugs, carriers, enzymes, genes, transporters, and diseases, as well as interactions between cells, genes, and diseases."
DOI: 10.5281/zenodo.17519206
title: Temporal Resonance Mapping (TRM): A Dynamical Systems Framework for Mental Health Crisis Prediction

description: Temporal Resonance Mapping (TRM) is a novel mathematical framework that models human behavioral patterns as coupled oscillatory systems to predict mental health crises 7-14 days before clinical manifestation. Unlike existing subjective assessment tools, TRM analyzes objective temporal patterns in routine behaviors; sleep, activity, social interaction, and device usage; to detect characteristic "phase coherence collapse" that precedes psychological deterioration. Our theoretical framework, grounded in nonlinear dynamics and coupled oscillator theory, establishes the Temporal Resonance Index (TRI), a quantitative metric that captures the synchronization state of behavioral rhythms. Retrospective validation on 127 anonymized clinical cases from Kenyan mental health services demonstrated 84.3% sensitivity and 78.9% specificity in predicting crisis events, with a median lead time of 11.2 days. Prospective monitoring of 63 participants over six months achieved 81.0% prediction accuracy with zero false negatives for severe crisis events. TRM operates on passively collected smartphone metadata, requiring no active user input, making it deployable in resource-constrained settings. This work represents the first application of dynamical systems theory to real-time mental health prediction and establishes a new paradigm for computational clinical psychology with immediate implications for suicide prevention, early intervention, and scalable mental health infrastructure in low-resource environments.

Keywords: Mental health prediction, Dynamical systems, Coupled oscillators, Digital phenotyping, Crisis intervention, Behavioral rhythms, Computational psychiatry, Cognitive science
DOI: 10.5281/zenodo.17512202
title: Data and code from: Habitat permanency shapes the temperature-size rule in tropical anurans

description: Material and methods

Experimental set up

We studied the pond breeder anuran species Agalychnis callidryas and Allophryne ruthveni, and the stream breeder anuran species Espadarana prosoblepon, and Boana picturata. Tadpoles used for this study were captive bred specimens, obtained as freshly laid eggs or early embryos from European captive-breeding facilities (Table S1). Tadpoles were reared in 24 × 24 × 30 cm aquaria (12 L water, GH 1–2) in a climate-controlled room (12 h light:12 h dark). Aquaria contained washed gravel, volcanic rocks (for bacterial colonization; Bagchi et al., 2014), a bio sponge filter, and an aquarium heater. Tanks were separated by Styrofoam to prevent temperature and behavioral interactions. Water temperature was maintained at 17°C (acclimation) and then adjusted to one of five target temperatures using aquarium heaters and thermometers. Each tank received cacao leaves and bacterial balls (“Pure Pond”) to stabilize water quality. All tanks were cycled for two weeks before starting the experiments (Giller & Malmqvist, 1998; Bagchi et al., 2014).

 

Temperature treatments and maintenance

Clutches were initially reared at 24°C. After hatching (Gosner stage 25), tadpoles were randomly assigned to one of five temperature treatments per species (20, 23, 26, 28, 30°C). Each aquarium represented a single temperature treatment. Tadpoles were checked daily and fed ad libitum with a mixture of commercial fish food (40%, Hikari Sinking Cichlid Gold) and boiled rucola/beet salad (60%). Water levels were topped up with demi water every two days, and key parameters (GH, pH, nitrate, nitrite, ammonium) were monitored weekly and maintained within optimal ranges (GH 1–4, pH 6–7, nitrate <15 mg/L, nitrite/ammonium ~0). Water was changed (50%) when needed to maintain water quality within these parameters. 

 

Developmental monitoring and data analysis

The date of emergence (Gosner stage 42–44) and completion of tail absorption (stage 46) were recorded for each individual. Body mass was measured in milligrams (mg) after completion of stage 46, once the tail was fully absorbed. Each froglet was weighed in a petri dish; the mass of the empty dish was subtracted from the combined mass to determine individual body mass. Then, we analyzed the effects of temperature and breeding habitat on development time and body size at metamorphosis. For this purpose, we fitted linear models to predict development time and log10-transformed body mass as response of breeding group, species (nested within group), and a quadratic term for temperature, including its interaction with group. Partial residuals from fitted models were used to assess the effect of predictors and to further study the relationship between development time and body mass within each habitat type. Model assumptions were checked via diagnostic plots. All analyses were conducted in R (R-Core Team 2025).