This dataset contains 43645 association records for 3787 butterfly species and 6870 host-plant taxa from Encyclopedia of Life (EOL), Biodiversity Heritage Library (BHL), Wikipedia, Butterflies of America (BoA) and the HOSTS database at the Natural History Museum in London (HOSTS DB). Records where extracted using different techniques such as html-scraping, API requests, and text-mining (keyword and taxonomic name matching, see details in http://papilionoidea.myspecies.info/content/data-extraction-protocol). Butterfly and plant names where validated with current taxonomic checklists and web services (http://www.ucl.ac.uk/taxome/gbn/, ftp://ftp.funet.fi/pub/sci/bio/life/intro.html, http://www.theplantlist.org/). A subset of the data was validated manually to check for error in names or in the association, some records were excluded, but there are still several dubious or unvetted records in the dataset. Please use the links provided to check the sources, some might contain citations to the original references. This dataset complements data available at higher taxonomic levels (Ferrer-Paris et al. 2013) This work was supported by a 2013 EOL Rubenstein Research Fellowship Award. References: Ferrer-Paris JR, Sánchez-Mercado A, Viloria ÁL, Donaldson J (2013) Congruence and Diversity of Butterfly-Host Plant Associations at Higher Taxonomic Levels. PLoS ONE 8(5): e63570. doi:10.1371/journal.pone.0063570

Abstract

This multi-country harmonized dataset concerning forcibly displaced populations (FDPs) and their host communities was produced by the World Bank’s Poverty and Equity Global Practice. It incorporates representative surveys conducted in 10 countries across five regions that hosted FDPs in the period 2015 to 2020. The goal of this harmonization exercise is to provide researchers and policymakers with a valuable input for comparative analyses of forced displacement across key developing country settings.

Geographic coverage

The datasets included in the harmonization effort cover key recent displacement contexts: the Venezuelan influx in Latin America’s Andean states; the Syrian crisis in the Mashreq; the Rohingya displacement in Bangladesh; and forcible displacement in Sub-Saharan Africa (Sahel and East Africa). The harmonization exercise encompasses 10 different surveys. These include nationally representative surveys with a separate representative stratum for displaced populations; sub-national representative surveys covering displaced populations and their host communities; and surveys designed specifically to provide insights on displacement contexts. Most of the surveys were collected between 2015 and 2020.

Analysis unit

Household

Universe

Forcibly displaced populations and their hosts communities.

Kind of data

Sample survey data [ssd]

Mode of data collection

Computer Assisted Personal Interview [capi]

Ecological associations between hosts and parasites are influenced by host exposure and susceptibility to parasites, and by parasite traits, such as transmission mode. Advances in network analysis allow us to answer questions about the causes and consequences of traits in ecological networks in ways that could not be addressed in the past.

We used a network-based framework (exponential random graph models, or ERGMs) to investigate the biogeographic, phylogenetic, and ecological characteristics of hosts and parasites characteristics that affect the probability of interactions among nonhuman primates and their parasites. Parasites included arthropods, bacteria, fungi, protozoa, viruses, and helminths.

We investigated existing hypotheses, along with new predictors and an expanded host-parasite database that included 213 primate nodes, 763 parasite nodes, and 2,319 edges among them. Analyses also investigated phylogenetic relatedness, sampling effort, and spatial overlap among hosts.

In addition to supporting some previous findings, our ERGM approach demonstrated that more threatened hosts had fewer parasites, and notably, that this effect was independent of threatened hosts also having a smaller geographic range. Despite having fewer parasites, threatened host species shared more parasites with other hosts, consistent with the loss of specialist parasites and threats arising from generalist parasites that can be maintained in other, non-threatened hosts. Viruses, protozoa, and helminths had broader host ranges than bacteria or fungi, and parasites that infect non-primates had a higher probability of infecting more primate species.

The value of the ERGM approach for investigating the processes structuring host-parasite networks provided a more complete view of the biogeographic, phylogenetic, and ecological traits that influence parasite species richness and parasite sharing among hosts. The results supported some previous analyses and revealed new associations that warrant future research, thus revealing how hosts and parasites interact to form ecological networks.

PHI-base is an online database (available at phi-base.org) that catalogues experimentally verified pathogenicity, virulence and effector genes from fungal, oomycete and bacterial pathogens, which infect animal, plant, fungal and insect hosts. PHI-base is a valuable resource in the discovery of genes in medically and agronomically important pathogens, which may be potential targets for chemical intervention.

Each entry in PHI-base is curated by domain experts and is supported by strong experimental evidence (for example, gene disruption and gene complementation experiments), as well as literature references in which the original experiments are described. Each gene in PHI-base is presented with its nucleotide sequence and deduced amino acid sequence (available in a FASTA file), as well as a detailed description of the predicted protein's function during the host infection process. To facilitate data interoperability, we have annotated genes using ontologies, controlled vocabularies, and links to external sources (including UniProt, Gene Ontology, Enzyme Commission, NCBI Taxonomy, EMBL, PubMed and FRAC).

This PHI-base dataset is a Frictionless Data Package that contains an export of the PHI-base database in CSV format (comma-separated values), plus a FASTA file with sequences for each gene in the database. This version of the dataset, version 4.16, contains 5,301 publications, covering 21,676 pathogen–host interactions and 9,666 pathogen genes across 294 pathogen species and 244 host species.

Erratum

Please note that the funding information included in the readme file for this dataset (specifically README.md and README.html) is incorrect. The correct funding sources are Growing Health [BB/X010953/1; BBS/E/RH/230003A] and Delivering Sustainable Wheat [BB/X011003/1; BBS/E/RH/230001B], both ultimately funded by the Biotechnology and Biological Sciences Research Council (BBSRC). The metadata for this dataset has been amended to use the correct funding sources (updated 16 September 2024).

This is the dataset of the submitted manuscript titled "Establishing a comprehensive host-parasite stable isotope database to unravel trophic relationships". The dataset represents the complete stable isotope and elemental composition, including carbon, nitrogen and sulphur stable isotopes and elemental contents from a wide range of hosts and parasites collected across the globe. For detailed information on the methods used in sampling and analysis, please refer to the Methods section of the paper itself.

A dataset containing the contents of the US National Fungus Collections Fungus-Host-Location database with citations. Searchable version available at https://nt.ars-grin.gov/fungaldatabases. Dataset current as of 2021 Nov. 05. Resources in this dataset:Resource Title: United States National Fungus Collections Fungus-Host Dataset. File Name: Fungus-Host-Data_20211105.csvResource Description: Snapshot of Fungus-Host-Location-Reference dataset as of 2021 Nov. 05.Resource Software Recommended: Microsoft Excel 365,url: https://www.microsoft.com/en-us/microsoft-365/microsoft-office

jats:titleAbstract/jats:title jats:pThe pathogen–host interactions database (PHI-base) is available at www.phi-base.org. PHI-base contains expertly curated molecular and biological information on genes proven to affect the outcome of pathogen–host interactions reported in peer reviewed research articles. PHI-base also curates literature describing specific gene alterations that did not affect the disease interaction phenotype, in order to provide complete datasets for comparative purposes. Viruses are not included, due to their extensive coverage in other databases. In this article, we describe the increased data content of PHI-base, plus new database features and further integration with complementary databases. The release of PHI-base version 4.8 (September 2019) contains 3454 manually curated references, and provides information on 6780 genes from 268 pathogens, tested on 210 hosts in 13,801 interactions. Prokaryotic and eukaryotic pathogens are represented in almost equal numbers. Host species consist of approximately 60% plants (split 50:50 between cereal and non-cereal plants), and 40% other species of medical and/or environmental importance. The information available on pathogen effectors has risen by more than a third, and the entries for pathogens that infect crop species of global importance has dramatically increased in this release. We also briefly describe the future direction of the PHI-base project, and some existing problems with the PHI-base curation process./jats:p

Insects tend to feed on related hosts. Coevolution tends to be dominated by interactions resulting from plant chemistry in defense strategies, and evolution of secondary metabolisms being in response to insect herbivory remains a classic explanation of coevolution. The present study examines whether evolutionary constraints existing in host associations of economically important fruit flies in the species-rich tribe Dacini (Diptera: Tephritidae) and to what extent these species have evolved specialized dietary patterns. We found a strong effect of host phylogeny on associations on the 37 fruit flies tested, although the fruit fly species feeding on ripe commercially grown fruits that lost the toxic compounds after long domestication are mostly polyphagous. We assessed the phylogenetic signal of host breadth across the fruit fly species, showing that the results were substantially different depending on partition levels. Further, we mapped main host family associations onto the fruit fly...

Comprehensive dataset of 41 Host clubs in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

EntomoFun 1.0: A global database of entomopathogenic fungi and associations with their hosts

Dryad dataset DOI: https://doi.org/10.5061/dryad.1zcrjdg17

Related article DOI: https://doi.org/10.1038/s41597-024-04103-4

Description of the data and file structure

The EntomoFun 1.0 database consists of six different files.

• File one concerns the full database and presents all validated records.
• File two presents summaries of hosts infected per EF species.
• Similarly, a third file shows summaries of EF species affecting per host species. Note that the information presented in files 2 and 3 is also available from file 1; we present the data in these alternative formats for user convenience.
• File four presents records that are deemed doubtful, providing details for each to support this classification.
• File five presents a raw version of the database before removal of duplicate records, but is identical in all other respects to the ...

The Hopkins U.S. System Index (HUSSI) is an information resource for forest entomologists, systematic entomologists, pest management specialists, foresters, and students. It is a collection of notes on thousands of insect and damage specimens from forests or wood products taken mainly in the United States, with some from Canada, Mexico, Central America, South America and other regions. Specimens related to the records are in collections at several USDA Forest Service installations; at the U.S. National Museum, Smithsonian Institution, Washington, DC; and at several universities. The paper-based system, conceptualized by Dr. A.D. Hopkins in 1894 and formally initiated by the USDA in 1902, now contains over 160,000 written records. Some of these records have been digitized as follows. The database includes information on location, date, taxon, insect and plant host association; other searches, measurements, and quantitative data; and other information in tabular or narrative form. The original database file was designed for importing into dBase, Access, FoxBase, RBase, Paradox, and other XBase-type programs. The data dictionary describes information entered in the 16 fields abstracted from the Hopkins U.S. System records. Then you can structure specific queries and reports that show:

Plant hosts Insect hosts Parasites & predators Geographic distribution Collection dates and collectors Location of original written notes Location of insect or damage specimens Resources in this dataset:Resource Title: Data files rezipped October 2015. File Name: allwest2.zipResource Description: The original allwest.exe data package offered by U.S. Forest Service was opened using WinZip 15 (Windows 7) and saved as a zip archive suitable for opening with typical archive utilities on both Windows and Macintosh. Downloaded in October 2015 from http://www.fs.fed.us/pnw/mdr/past/bmnri/research/database/hussi.shtml.

Includes:

README.TXT : Instructions from http://www.fs.fed.us/pnw/mdr/past/bmnri/research/database/hussi.shtml

TITLPAGE.TXT : Title page.

HUSINTRO.TXT : Background information on the Hopkins U.S. System and the Hopkins U.S. System Index (HUSSI).

HUSSTAT.TXT : Description of HUSSI files at each repository.

HUSREPOS.TXT : List of repositories (as of 1986) for Hopkins U.S. System records described in HUSSI.

HUSDTDIC.TXT : Data dictionary for HUSSI records.

DBDESAW2.TXT : Description of ALLWEST2 database.

ALLWEST2.DBF : HUSSI records from all western USDA Forest Service repositories (as of 1986), except PSWNB records from notebooks at the Pacific Southwest Experiment Station, Berkeley, CA. PSWNB records are in a seperate archive.Resource Title: Flat version of the HUSSI database. File Name: ALLWEST2.csvResource Description: The file ALLWEST2.DBF from ALLWEST.EXE was converted to a comma separated values file using LibreOffice 5.0.2.2. This appears to include all 37,198 records with 16 columns as described in the data dictionary. Suitable for use with most applications that can handle CSV input.Resource Title: Original text version of HUSSI data dictionary. File Name: HUSDTDIC.TXTResource Description: Included in ALLWEST archive downloaded from http://www.fs.fed.us/pnw/mdr/past/bmnri/research/database/hussi.shtml Title: Original list of repositories (as of 1986) for Hopkins U.S. System records described in HUSSI.. File Name: HUSREPOS.TXTResource Description: Included in ALLWEST2 archive downloaded from http://www.fs.fed.us/pnw/mdr/past/bmnri/research/database/hussi.shtml

Expands all the acronyms of the repositories holding physical cards represented in the database.Resource Title: Original README.TXT from the ALLWEST archive. File Name: README.TXTResource Description: Original README.TXT from the ALLWEST archive. The explanations appear in the zipped archive, and have been used as a basis for this dataset description. Includes obsolete instructions for using self-extracting archive on Windows 95 and Windows 3.x operating systems.Resource Title: Original Database Description from ALLWEST2 archive. File Name: DBDESAW2.TXTResource Description: Included in ALLWEST2 archive downloaded in October 2015 from http://www.fs.fed.us/pnw/mdr/past/bmnri/research/database/hussi.shtml. Title: Original introductory text from ALLWEST2 archive. File Name: HUSINTRO.TXTResource Description: Included in ALLWEST archive downloaded in October 2015 from http://www.fs.fed.us/pnw/mdr/past/bmnri/research/database/hussi.shtml Title: Original title page for HUSSI. File Name: TITLPAGE.TXTResource Description: Included in ALLWEST archive downloaded from http://www.fs.fed.us/pnw/mdr/past/bmnri/research/database/hussi.shtml Title: Original statistics file for HUSSI records . File Name: HUSSTAT.TXTResource Description: A description of record types for Hopkins U.S. System files and number of HUSSI records for each repository as of March 1991. Part of the ALLWEST2 archive downloaded October 2015 from http://www.fs.fed.us/pnw/mdr/past/bmnri/research/database/hussi.shtml

This database contains a manually curated set of human, animal and plant pathogens, annotated with their confirmed host range and relevant sources. In addition to that, we include additional sets of plant-associated fungi (which may include non-pathogens), as well as fungi with an automatically assigned, putative human, animal or plant host. The labelled fungal species are linked to their representative GenBank genomes wherever possible. Genomes that were screened, but no label was found, are also included.

[Last update on: 11 Dec 2022]
[Home page: https://dacs-hpi.gitlab.io/pathogenic-fungi/]

The database is stored in a flat-file format. All metadata are stored in all_data_[date].csv, and all_data_[date].rds contains the same data in a compressed format that can be easily loaded in R. The database was first compiled on 9 Oct 2021 (v1.0), and then updated on 2 Jan 2022 (v1.1) and 11 Dec 2022 (v1.2).

The core database is limited to manually confirmed human, animal and plant pathogens with available genomes as of 9 Oct 2021. Those data are a subset of all_data, and are stored in core_fungal_pathogens.csv and core_fungal_pathogens.rds.

The temporal-test subset contains confirmed pathogens with genomes added to GenBank between 9 Oct 2021 and 2 Jan 2022.

You may also be interested in trained neural network models predicting pathogenic potentials of novel fungi from DNA sequences (https://zenodo.org/record/5711877) and simulated Illumina read sets used to train them (https://zenodo.org/record/5846397).

See also the preprint: https://www.biorxiv.org/content/10.1101/2021.11.30.470625 and the paper presented at ECCB '22 and published in Bioinformatics: https://doi.org/10.1093/bioinformatics/btac495.

One explanation for the widespread host specialization of insect herbivores is the "Jack of all trades-master of none" principle, which states that genotypes with high performance on one host will perform poorly on other hosts. This principle predicts that cross-host correlation in performance of genotypes will be negative. In this study we experimentally explored cross-host correlations and performance among families in four species (two generalist and two specialist) of leaf beetles (Cephaloleia spp.) that are currently expanding their diets from native to exotic plants. All four species displayed similar responses in body size, developmental rates and mortality rates to experimentally controlled diets. When raised on novel hosts, body size of larvae, pupae and adults were reduced. Development times were longer and larval mortality was higher on novel hosts. Genotype × host plant interactions were not detected for most traits. All significant cross-host correlations were positive. These results indicate very different ecological and evolutionary dynamics than those predicted by the “Jack of all trades-master of none” principle.

** Static Data Set ** This table shows Homeless Outreach Street Team (HOST) data for Fiscal Year 2016-17

.HOST Whois Database, discover comprehensive ownership details, registration dates, and more for .HOST TLD with Whois Data Center.

Biological pest control relies on interactions between herbivores and their natural enemies. Maintaining this ecosystem service requires considering herbivore and natural enemy interactions and their response to anthropogenic change at multiple scales. In this study, we use ecological networks to quantify the network structure of interactions between herbivorous insects and their parasitoids. We examine how herbivore host abundance, parasitism rates, and shifts in network structure relate to changes in local habitat management and landscape context. We sampled herbivores and parasitoids in Brassica oleracea plants at 22 urban gardens on the California central coast. At each site, we measured local management characteristics (e.g. vegetation, ground cover, canopy cover) and quantified surrounding landscape composition (e.g. urban, natural, open, and agricultural cover). For the eight sites with large enough networks, we calculated three network structure metrics (interaction richness, vu...

Comprehensive dataset of 1 Host clubs in Sweden as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The MSB Division of Parasitology maintains data on the host organisms of parasites in the MSB Parasite Collection. These are mostly observations rather than specimen records, and taxonomic determinations are often based upon the parasitologist's notation. Hosts with specimen vouchers in other Arctos collections are related to the records in those collections.

Diuraphis noxia, the Russian wheat aphid, has become a major pest of wheat and barley since first being detected in the western USA in 1986. However, it is rarely a pest in Eurasia, its area of origin, and research has shown that natural enemies can limit its abundance there. Among the most important of natural enemies of D. noxia in Eurasia are parasitoids in the genus Aphelinus. These data are results of laboratory experiments on host specificity of ten populations of seven species from two species complexes in the genus Aphelinus. Host specificity was not related to host plant species or the phylogenetic relatedness of the aphids or the parasitoids. While some species had very broad host ranges and others had intermediate host ranges, Aphelinus hordei had a very narrow host range, being restricted primarily to species in the genus Diuraphis, and especially D. noxia. We also report the results of experiments on the mechanisms of this host specificity. Most of the host specificity of A. hordei can be explained by differences in the behavior of females when they encountered different aphid species. Females of A. hordei rarely approach, sting, oviposit or host feed on aphids outside the genus Diuraphis, and they oviposit most frequently in D. noxia. From these results, we conclude that A. hordei is an excellent candidate for introduction into the USA to control D. noxia.

Comprehensive dataset of 1 Host clubs in North Carolina, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.