dataset_doi	dataset_key	dataset_title	dataset_citation	number_records
10.15468/ab3s5x	50c9509d-22c7-4a22-a47d-8c48425ef4a7	iNaturalist Research-grade Observations		97735
10.15468/5nilie	8a863029-f435-446a-821e-275f4f641165	Observation.org, Nature data from around the World		518
10.15468/uc1apo	6ac3f774-d9fb-4796-b3e9-92bf6c81c084	NABU|naturgucker		62
10.15468/bxaps8	35db6844-23dd-43c0-a247-9f4fa1c9faf0	Inventario multitaxonómico del ANP Médanos de Samalayuca	'Gatica-Colima A., J. M. Martínez-Calderas, L. de León-Pesqueira, D. A. Ramírez-Castorena y D. M. Cuevas-Ortalejo. 2019. Inventario multitaxonómico del ANP Médanos de Samalayuca. Universidad Autónoma de Ciudad Juárez. Bases de datos SNIB-CONABIO, proyecto PJ018. Ciudad de México'	43
10.15468/e8dbiq	80d3003c-f762-11e1-a439-00145eb45e9a	Actualización de la base de datos del Atlas Mastozoológico de México	'Ceballos G. 2002. Actualización de la base de datos del Atlas Mastozoológico de México. Instituto de Ecología. Universidad Nacional Autónoma de México. Bases de datos SNIB-CONABIO, proyectos T009 y A003. México, D. F.'	24
10.15468/jfqhiu	bb5b30b4-827e-4d5e-a86a-825d65cb6583	Paleobiology Database	You can cite the Paleobiology Database in several ways. First, you can cite the specific e- publication that you used (see above). Second, you can refer to a specific download from the PaleoBioDB, giving the date and parameters of the download. Here is an example: The data were downloaded from the Paleobiology Database on 31 December, 2013, using the group name 'marine' and the following parameters: time intervals = Eocene and Oligocene, region = Europe, paleoenvironment = marine, Order = Cetacea. In such a case, you may want to cite or acknowledge the people who contributed the bulk of the data to the database. We also strongly encourage that you create a secondary bibliography for work that uses large data sets. You can easily download all of the references that contributed to a dataset for this secondary bibliography. Many journals will accept a secondary bibliography as a supplementary material file, and this type of citation helps ensure that the hard work performed by members of our community collecting and describing fossil organisms gets acknowledged properly.	20
10.15468/ckcdpy	7f6dd0f7-9ed4-49c0-bb71-b2a9c7fed9f1	Macaulay Library Audio and Video Collection	Scholes III, Ph.D. E (2015). Macaulay Library Audio and Video Collection. Cornell Lab of Ornithology. Occurrence Dataset https://doi.org/10.15468/ckcdpy accessed via GBIF.org on 2017-05-31.	15
10.15468/b666q8	18374978-1b04-4c13-9593-44d9e06d28da	Canada British Columbia Cape Scott Wind Observations	None	13
10.15468/rchosl	84faa3a4-f762-11e1-a439-00145eb45e9a	CNMA/Colección Nacional de mamíferos	UNIBIO, IBUNAM. CNMA/Colección Nacional de mamíferos. Occurrence Dataset https://doi.org/10.15468/rchosl accessed via GBIF.org on 2018-03-06.	9
10.15468/inygc6	040c5662-da76-4782-a48e-cdea1892d14c	International Barcode of Life project (iBOL)	International Barcode of Life project (iBOL)	3
10.15468/ccwj8u	053d3e84-a440-42ae-a8ab-acda381469bb	Roadkill Reports - Powered by Anecdata.org	Disney J, Bailey C, Anecdata.org Contributors, Taylor A, Garretson A (2025). Roadkill Reports - Powered by Anecdata.org. Version 1.2. The Community Environmental Health Laboratory at MDI Biological Laboratory. Occurrence dataset. https://ipt.gbif.us/resource?r=roadkill-109&v=1.2	2
10.15468/hkfvyx	31a35af0-c997-4f76-b045-9942bc14b896	USGS GAP - Alaska - Vertebrates - 1867-2009	Gotthardt T, McKerrow A, Simpson A (2020). USGS GAP - Alaska - Vertebrates - 1867-2009. Version 1.3. United States Geological Survey. Occurrence dataset https://doi.org/10.15468/hkfvyx accessed via GBIF.org on 2023-03-01.	1
10.15472/dvufuk	5c111283-1ace-416c-9f55-e5e7e1298dea	Monitoreo pasivo de fauna silvestre con cámaras trampa en el Río Tillavá, Meta, Colombia - Proyecto FIBRAS	Ecopetrol, S.A., Asociación GAICA, Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (2023): Monitoreo pasivo de fauna silvestre con cámaras trampa en el Río Tillavá, Meta, Colombia - Proyecto FIBRAS. v3.1. Ecopetrol S.A.. Dataset/Samplingevent. https://doi.org/10.15472/dvufuk	1
10.15468/9j2avl	80241018-f762-11e1-a439-00145eb45e9a	Inventario nacional de especies vegetales y animales de uso artesanal	'Bravo-Marentes C. 1999. Inventario nacional de especies vegetales y animales de uso artesanal. Asociación Mexicana de Arte y Cultura Popular A. C. Bases de datos SNIB-CONABIO, proyecto J002. México, D. F.'	1
10.15468/phza67	c0dfa17b-c08c-4d99-aaa7-1bea9ca8c9e3	Colección de Tejidos, Centro Interdisciplinario de Investigación para el Desarrollo Integral Regional, Unidad Durango, Instituto Politécnico Nacional (TD).	López-González, C. and D. F. García Mendoza.  La colección de tejidos del CIIDIR Unidad Durango, Instituto Politécnico Nacional (TD), México. Centro Interdisciplinario de Investigación para el Desarrollo Integral Regional, Unidad Durango, Instituto Politécnico Nacional, México y Bases de datos SNIB-CONABIO.	1
10.15468/9ll2gz	e1beb83c-9b83-4d17-ac5e-d24e09507ec5	BoBO - Botanic Garden and Botanical Museum Berlin Observations	Droege, G., Güntsch, A., Holetschek, J., Kusber, W.-H. (eds.) 2003 - (continuously updated): BoBO - Botanic Garden and Botanical Museum Berlin-Dahlem Observations	1
10.15468/ee6ps6	e6c97f6e-e952-11e2-961f-00145eb45e9a	Anymals+plants - Citizen Science Data	(see website)	1