cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gg28ww
title: Occurrence Download

description: A dataset containing 101 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 Amomyrtella Kausel"
 ]
}

 The dataset includes 101 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011301-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110600316
title: Persepolis Fortification Aramaic Text 404, PFAT 404

description: [Text Description:] Administrative text with seals PFATS 0077, illegible seal ❧ [Text or Publication Number Note:] PFAT 404, Bowman 404 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink inscription. Seal impression PFATS 0077 on obverse, reverse. Illegible seal impression on flat edge. ❧ [Physical Object Note:] Damage on round edge.
DOI: 10.15468/dl.7p3rvw
title: Occurrence Download

description: A dataset containing 6485695 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bacillariophyceae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 6485695 records from 1978 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027254-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17954422
title: EUROPEAN SOIL NUTRIENT IMBALANCES

description: Europe has a serious imbalance in terms of availability of nutrients for agriculture. Climatic and orographic conditions have led to the separation of agriculture and livestock production. The need to reduce food production costs has led to the centralization of livestock and agricultural production systems, leading to geographic nutrient imbalances; while areas with low crop yield potential have transitioned to intensive livestock farming relying on food imports, high yielding crop areas in many cases have not introduced livestock in the agro-system. Thus, Europe has been zoned, with areas with nutrient excess (high livestock areas, areas close to the coast, orographically complicated areas, etc.) and areas of high nutrient demand (areas where intensive cropping has depleted soil nutrients, soil organic matter, caused decreases in microbiological diversity, etc.). The project SEA2LAND identifies the areas with excesses or deficits of nutrients, and quantifies these nutrient imbalances. Depending on the needs of the pilot study areas, the recovered wastes will be transformed to optimize their use in agriculture (local use to minimize transport). This knowledge will be combined with results obtained in the different pilot areas to develop a framework for the diagnosis of territorial nutrient imbalances and identification of possible solutions. The results are available to be consulted on a especific tool created under the SEA2LAND project framework called Map Visor https://sea2landgisviewer.eu/

This publication on Zenodo is a dataset built collecting the published information from various sources: official statistics institutes, research centres, associations of producers, etc. This information will include main crops, soil characteristics, “waste” streams, orographic and climatic conditions, facilities in the area, etc. Territorial difficulties (road network, technological ecosystem, legal issues, administrative oversight, etc.) will be taken into account. The inventory/map has been developed at nut 3 calculating the imbalances (nut 3) for N, P, K, organic matter and micronutrients.
DOI: 10.5281/zenodo.17954423
title: EUROPEAN SOIL NUTRIENT IMBALANCES

description: Europe has a serious imbalance in terms of availability of nutrients for agriculture. Climatic and orographic conditions have led to the separation of agriculture and livestock production. The need to reduce food production costs has led to the centralization of livestock and agricultural production systems, leading to geographic nutrient imbalances; while areas with low crop yield potential have transitioned to intensive livestock farming relying on food imports, high yielding crop areas in many cases have not introduced livestock in the agro-system. Thus, Europe has been zoned, with areas with nutrient excess (high livestock areas, areas close to the coast, orographically complicated areas, etc.) and areas of high nutrient demand (areas where intensive cropping has depleted soil nutrients, soil organic matter, caused decreases in microbiological diversity, etc.). The project SEA2LAND identifies the areas with excesses or deficits of nutrients, and quantifies these nutrient imbalances. Depending on the needs of the pilot study areas, the recovered wastes will be transformed to optimize their use in agriculture (local use to minimize transport). This knowledge will be combined with results obtained in the different pilot areas to develop a framework for the diagnosis of territorial nutrient imbalances and identification of possible solutions. The results are available to be consulted on a especific tool created under the SEA2LAND project framework called Map Visor https://sea2landgisviewer.eu/

This publication on Zenodo is a dataset built collecting the published information from various sources: official statistics institutes, research centres, associations of producers, etc. This information will include main crops, soil characteristics, “waste” streams, orographic and climatic conditions, facilities in the area, etc. Territorial difficulties (road network, technological ecosystem, legal issues, administrative oversight, etc.) will be taken into account. The inventory/map has been developed at nut 3 calculating the imbalances (nut 3) for N, P, K, organic matter and micronutrients.
DOI: 10.15468/dl.f23sax
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"TUR.41.7_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006960-260108223611665/datasets/export for details.
DOI: 10.15468/dl.cdy4f9
title: Occurrence Download

description: A dataset containing 347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-101.04281762378086 18.331993506143775,-98.15202533256031 18.331993506143775,-98.15202533256031 21.22278579736433,-101.04281762378086 21.22278579736433,-101.04281762378086 18.331993506143775))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plumeria"
 ]
}

 The dataset includes 347 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026150-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5radb3
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 (Tregellasia capito)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026153-250802193616735/datasets/export for details.
DOI: 10.15468/dl.u43hak
title: Occurrence Download

description: A dataset containing 8811 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 (Tregellasia capito)",
 "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 8811 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026152-250802193616735/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.29704574
title: Delete.docx

description: Delete item
DOI: 10.6084/m9.figshare.29704574.v1
title: Appendix.docx

description: behavioural control and technology finance
DOI: 10.6084/m9.figshare.29704574.v2
title: Delete.docx

description: Delete item
DOI: 10.34740/kaggle/dsv/12704130
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.yhnua2
title: Occurrence Download

description: A dataset containing 345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhipidura cockerelli)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 345 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026154-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dr7nm3
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 (Tregellasia capito)",
 "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/0026155-250802193616735/datasets/export for details.
DOI: 10.15468/dl.k8qkz4
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhipidura coultasi)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026156-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6pu9m5
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.91095 63.11031,-81.45185 62.5563,-81.09222 55.29966,-81.90976 45.72632,-80.68345 44.76704,-79.50042 43.31936,-77.29893 43.37185,-76.82977 43.65974,-74.88092 44.97654,-71.56065 44.97654,-70.47795 45.7625,-69.15569 46.77355,-63.95448 47.41176,-62.57775 46.72892,-61.45737 46.89977,-60.18031 47.47372,-59.61517 48.42782,-56.16487 51.63573,-53.4832 53.95156,-62.08612 60.22671,-67.15384 61.26671,-72.12021 62.8802,-78.91095 63.11031))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Stratiotes aloides"
 ]
}

 The dataset includes 36 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026157-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5q8s7
title: Occurrence Download

description: A dataset containing 1920 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.91095 63.11031,-81.45185 62.5563,-81.09222 55.29966,-81.90976 45.72632,-80.68345 44.76704,-79.50042 43.31936,-77.29893 43.37185,-76.82977 43.65974,-74.88092 44.97654,-71.56065 44.97654,-70.47795 45.7625,-69.15569 46.77355,-63.95448 47.41176,-62.57775 46.72892,-61.45737 46.89977,-60.18031 47.47372,-59.61517 48.42782,-56.16487 51.63573,-53.4832 53.95156,-62.08612 60.22671,-67.15384 61.26671,-72.12021 62.8802,-78.91095 63.11031))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aegopodium podagraria"
 ]
}

 The dataset includes 1920 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026160-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16116069
title: Example data for 'lacunr: Efficient 3-D lacunarity for voxelized LiDAR data from forested ecosystems'

description: This repository contains data and code for reproducing the results of the worked example in Smeds et al. 2025 "lacunr: Efficient 3-D lacunarity for voxelized LiDAR data from forested ecosystems", published in Methods in Ecology and Evolution (https://doi.org/10.1111/2041-210X.70126).

The worked example analyzes terrestrial LiDAR scans of two forest stands at the Saddle Mountain Open Space Preserve in Sonoma County, California, which were burned in the 2020 Glass Fire. The first of these scans, Plot 1, in included in the 'lacunr' software package as an example dataset, while the second plot is archived here. The included R script allows users to reproduce the lacunarity curves displayed in Figure 2 and Figure S1 of Smeds et al.

The deposited zip archive, lacunr_example.zip, can be decompressed into a corresponding folder with the following contents:



data/ - a data folder which contains two height-normalized terrestrial LiDAR point clouds in .laz format:



c6_tls_p6_prefire.laz - 24*24m forest stand before wildfire

c10_tls_p6_postfire.laz - the same forest stand after wildfire



lacunr_example_data.R - R script for replicating the lacunarity curves presented in the publication

lacunr_example.Rproj - the R project file which allows users to open the R script in a self-contained environment. This file should be opened in RStudio prior to executing the R script

output/ - the folder where external image files are exported by the R script

README.txt - a text file containing instructions for opening the R project and running the associated code
DOI: 10.5281/zenodo.16116068
title: Example data for 'lacunr: Efficient 3-D lacunarity for voxelized LiDAR data from forested ecosystems'

description: This repository contains data and code for reproducing the results of the worked example in Smeds et al. 2025 "lacunr: Efficient 3-D lacunarity for voxelized LiDAR data from forested ecosystems", published in Methods in Ecology and Evolution (https://doi.org/10.1111/2041-210X.70126).

The worked example analyzes terrestrial LiDAR scans of two forest stands at the Saddle Mountain Open Space Preserve in Sonoma County, California, which were burned in the 2020 Glass Fire. The first of these scans, Plot 1, in included in the 'lacunr' software package as an example dataset, while the second plot is archived here. The included R script allows users to reproduce the lacunarity curves displayed in Figure 2 and Figure S1 of Smeds et al.

The deposited zip archive, lacunr_example.zip, can be decompressed into a corresponding folder with the following contents:



data/ - a data folder which contains two height-normalized terrestrial LiDAR point clouds in .laz format:



c6_tls_p6_prefire.laz - 24*24m forest stand before wildfire

c10_tls_p6_postfire.laz - the same forest stand after wildfire



lacunr_example_data.R - R script for replicating the lacunarity curves presented in the publication

lacunr_example.Rproj - the R project file which allows users to open the R script in a self-contained environment. This file should be opened in RStudio prior to executing the R script

output/ - the folder where external image files are exported by the R script

README.txt - a text file containing instructions for opening the R project and running the associated code
DOI: 10.15468/dl.vjq3ak
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.91095 63.11031,-81.45185 62.5563,-81.09222 55.29966,-81.90976 45.72632,-80.68345 44.76704,-79.50042 43.31936,-77.29893 43.37185,-76.82977 43.65974,-74.88092 44.97654,-71.56065 44.97654,-70.47795 45.7625,-69.15569 46.77355,-63.95448 47.41176,-62.57775 46.72892,-61.45737 46.89977,-60.18031 47.47372,-59.61517 48.42782,-56.16487 51.63573,-53.4832 53.95156,-62.08612 60.22671,-67.15384 61.26671,-72.12021 62.8802,-78.91095 63.11031))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Trapa natans"
 ]
}

 The dataset includes 155 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026158-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nuwt5v
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pareiorhina rosai)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026161-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c9g2qd
title: Occurrence Download

description: A dataset containing 389 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Rattus norvegicus"
 ]
}

 The dataset includes 389 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026162-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8msxmu
title: Occurrence Download

description: A dataset containing 2 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 (Meliphaga lewinii)",
 "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 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026164-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.759fhx
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 (Meliphaga lewinii)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026163-250802193616735/datasets/export for details.
DOI: 10.15468/dl.8wbgxc
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 (Meliphaga lewinii)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026165-250802193616735/datasets/export for details.