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zenodo44/100

Invasive snakes on islands: dataset and species vignettes

This dataset describes known introductions of snakes to islands outside of their respective historical, native ranges as of May, 2022. It was created during the preparation of the chapter "Welcome to paradise: snake invasions on islands" for the upcoming book Islands and Snakes, Vol. II. Details for this accompanying summary text will be provided upon final publication. It contains a spreadsheet/database of individual documented introductions (Island_Snakes_data_cleaned), and vignettes organized by species that summarize introductions and provide references.   Island_Snakes_data_cleaned Database Details The database contains several categories of information; categories are listed in bold below. <ul> <li>General Introduction information</li> </ul> Introduced Country = the country authority over the geographic location of introduction event Introduced to Island = the name of the island where a snake was introduced Island Group Name = the name of the island grouping, if any exists Introduced Ocean of Sea = the name of the body(ies) of water surrounding the island where a snake was introduced Native Range = a general description of where the snake is native to, if known Date Introduced Note = any details in addition to the year provided in Date Introduced column Date Introduced = the date a snake was considered or recorded as introduced to an island. These dates are often approximate of based on year of publication. Established = a binary variable where 1 indicates a snake has established a population on that island, and 0 indicates it has not established or there is not enough evidence to determine this status. Currently Present on island = a binary variable where 1 indicates a snake is present on that island, and 0 indicates it is not present or there is not enough evidence to determine this status.   <ul> <li>Pathway information - these variables describe known pathways of introduction to an island. All variables are binary; 1 indicates the pathway likely contributed to the introduction of the snake, 0 indicates it likely did not or there is not evidence to support that pathway.</li> </ul> Nursery Trade - introduced as a result of nursery or plant trade Cargo - introduced as a result of cargo that is not specifically associated with nursery or plant trade Pet Trade - introduced as a result of importation for eventual keeping as a pet or in captive hobby herpetoculture, or escape Intentional - introduced intentionally to the wild by a person intending to establish a population or releasing an animal for non-religious purposes Industrial - introduced as a result of an industry not described  in other pathways; e.g. entertainment industry, skin trade Research - introduced as a result of escape or release from captive animals used for research purposes Medicinal - introduced as a result of medicinal trade in animals Food - introduced as a result animals traded or imported for consumption Pathway comment - additional details about the pathway associated with the introduction event   <ul> <li>Introduced island characteristics - attributes of the ecology and geography where snakes have been introduced. Binary variables 1 indicate there is evidence for the category, 0 indicates there is not evidence for that category. *Note*: we did not consider fully-aquatic sea-snakes in our determination of island ecology characteristics</li> </ul> introduced to historically snake-free - 1 indicates that prior to the snake's introduction, no other snakes were present on the island. introduced to island with native snakes already there - 1 indicates that prior to the snake's introduction, native snakes were already present introduced to island with ecologically similar snake - 1 indicates that prior to the snake's introduction, a snake with similar ecotype was already present (native or non-native). introduced island with same family - 1 indicates that prior to the snake's introduction, another snake of the same family was already present (native or non-native). introduced island with same genus - 1 indicates that prior to the snake's introduction, another snake of the same genus was already present (native or non-native). island area km2 - a rough estimate of the island's total geographic area in km2 nearest large landmass (>10000km2) - the name of the nearest landmass (greater than 10,000 km2  in area) to the island where a snake was introduced (as determined by linear distance). distance to nearest large landmass/mainland (km) - an estimate of the linear distance from the island where a snake was introduced to the nearest landmass greater than 10,000 km2   in area. distance to native origin (rough km) - a rough estimate of the linear distance from the snake's native range (and source of non-native introduction, if known) to the island where the snake has been introduced.  Native_to_nearest_large_landmass - a binary variable where 1 indicates the snake is native to the nearest large landmass names in the nearest large landmass (>10000km2) column. island status comment - any additional information about the ecology of geography of the island where a snake was introduced.   <ul> <li>Snake characteristics - Attributes associated with the ecotype and diet of the snakes introduced to islands. Binary variables indicate whether there is evidence to support a snake's membership to a specific category.</li> </ul> Constrictor - 1 indicates the snake can be classified as a constrictor- using strangulation and squeezing to subdue prey. Venomous - 1 indicates the snake can be classified as venomous. Fossorial - 1 indicates the snake can be classified as fossorial; dwelling on ground in soil or leaf litter Terrestrial - 1 indicates the snake can be classified as terrestrial; living on the ground but generally not in soil or leaf litter Aquatic - 1 indicates the snake can be classified as aquatic, living at the water's edge or near the water. Arboreal - 1 indicates the snake can be classified as arboreal; living mostly in trees Cave-dwelling (troglodytic) - 1 indicates the snake can be classified as Cave-dwelling or troglodytic max SVL in mm (estimate) - the maximum snout-to-vent length recorded for the introduced snake species; this information may be derived from either native or introduced ranges Generalist - 1 indicates the snake can be classified as having a generalist diet Specialist - 1 indicates the snake can be classified as having a specialist diet Mammals - 1 indicates the snake is documented as consuming mammals Birds - 1 indicates the snake is documented as consuming birds Amphibs - 1 indicates the snake is documented as consuming amphibians Reptiles - 1 indicates the snake is documented as consuming reptiles Inverts - 1 indicates the snake is documented as consuming invertebrates   <ul> <li>Impacts of introduction -  a summary of any documented impacts associated with the introduction of the snake to the island. </li> </ul> Ecological Impacts - 1 indicates there is documentation to support an impact of the snake's introduction to the island's ecology Health Impacts - 1 indicates there is documentation to support an impact of the snake's introduction to human health on the island Economic Impacts - 1 indicates there is documentation to support an impact of the snake's introduction to the local economy of the island Impacts not measured - 1 indicates there is no formal documentation of impacts of the snake to any of the previous categories Impact Comment - any details about impacts, or speculated impacts   <ul> <li>Management </li> </ul> Previous eradication Efforts - 1 indicates there have been measures taken in the past to attempt to remove the snake species from the island Current eradication effort - 1 indicates that as of May 2022, attempts to remove the snake species from the island are ongoing.   Cool Stuff! - a category with comments on introductions that do not fit neatly elsewhere   Vignette details Vignettes are organized by species, using the most up-to-date accepted species name according to the Reptile Database in May, 2022. The vignette describes documented introductions to islands, which includes multiple locations for some species. All vignettes follow a similar format. Species name and any relevant synonyms or colloquial names are given. Where native- describes the native range of the snake, if known. Where introduced, when - describes the islands where a snake has been documented as introduced, and the associated dates of introduction (if they differ from the publication date) Introduced Island characteristics - gives any relevant information about the ecology or geography of the island(s) where the species has been introduced Pathways of introduction - gives information about pathway(s) relevant to introductions Why successful introduction - if the introduction was successful (i.e. established), what factors may have played a role in this success Any failed island introductions elsewhere, why? - If introductions are recorded as not established or failed, any information that may help understand the failure of the introduction to establish. Documented impacts of introduction (Ecological, Economic, Social, Human Health) - any impacts documented from the introduction of the species to the island(s) Speculated impacts - any potential impacts of the species' introduction to the island(s), whether unrecorded, unexamined, or estimated to have a lag time before apparent References - References cited within the vignette

opencc-by-4.0Jun 2022View details →

zenodo44/100

The InvL Dataset of Invasive Species from drones in a Land Environment

Summary An original dataset for semantic segmentation, InvL, is introduced, which to the best of the authors' knowledge, is the first dataset of its kind with pixel-level annotations pertaining to invasive species (Himalayan balsam) in a land environment from drones with height 10-30 m (GSD 3-13 mm) using optical imaging and having diverse outdoor blur, noise and contrast. Objectives Automated detection and quantification of invasive species from drones would enable more efficient mapping using simple low-cost technologies. This would help to remove invasive and later protect species. However, it is difficult to distinguish invasive species from common ones from higher altitudes using drone images.  Training a machine learning algorithm to accurately detect a given invasive species from images taken in the field requires a massive amount of human-generated training data. Objective is to encourage people to open share images that can be used to develop technology. We are interested expand database and add author for every 1 GB added to the new version InvL or every 200 hours spent to improve annotation quality or annotation type. Objective is to expand establish a reference dataset for automatic extraction using gold standard training sets to gain Intersection over Union (IoU) over 0.8 from drone height over 30 meters with least GSD using low cost drones. Data description This data set contains images of Himalayan balsam (Impatiens glandulifera) taken mostly with the DJI Mavic 2 PRO in Finland from heights 10, 15, 20 and 30 meters, low speed 1- 2 m/s, no filters, 90 degrees angle, still images, GSD varying from 3-13mm, image size ~15 MB, between July (usually no flowers) and August (flowers).     Table 1. Drone images of invasive species <table> <tbody> <tr> <td> Label </td> <td> Name of data file/set   </td> <td> Dataset size (GB) </td> <td> File type (extension)   </td> <td> Data repository and identifier </td> <td> IoU estimate - model </td> <td> Comment </td> </tr> <tr> <td> Himalayan_balsam </td> <td> InvL/Himalayan_balsam ../ann – contains annotations …/ann/H10m_Lahti_Peitsikatu_H10m_10072020 <ul> <li>H10 = 10 m UAV heigth</li> <li>Lahti = city</li> <li>10072020 (last) = date of fligth</li> </ul> …/original – orginal UAV images, folder structure same as for “ann” </td> <td> 2 </td> <td> InvL.zip (folder structure with annotations and original images)   </td> <td>   </td> <td> Himalayan balsam IoU = 0.53, FCN, 15 m with augmentation  IoU=0.37, FCN, 30 m </td> <td> Himalayan balsam, green Elevation varies in area +- 5m, so actual UAV flight height varies Each image around 15 MB </td> </tr> </tbody> </table> Limitations Annotations do not indicate width or margins. <ul> <li>There is no indication of confidence of annotations.</li> <li>Blur, noise or contrast values are not calculated.</li> <li>Mostly species are easily visible and images with bright sunlight have been removed in selection of images.</li> <li>Annotator needs good and tested instruction to annotate images. Annotator needs to do work for tens of hours with developed and tested instructions to guarantee good quality. After image annotator each image should be checked by an “expert” and reannotated if necessary (silver standard, if this is done twice it is gold standard). If expert is used each image should be annotated once (silver standard) and twice (gold standard).</li> <li>Annotation time for each 15 MB image should be around one hour.</li> <li>Image GSD should be around 5 mm and less for smaller species.</li> <li>In different field areas species color and size varies and mixed vegetation may cause problems.</li> <li>In images there are flowers and non-flowers.</li> </ul> Abbreviations FCN: a fully convolutional neural network.

opencc-by-4.0Jul 2022View details →

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Dataset of the paper "Vermicomposting as a sustainable option for the management of the biomass of the invasive tree Acacia dealbata Link."

Data generated during an experiment of vermicomposting of Acacia dealbata fresh biomass. Four files are included: "vermicompost_and_earthworm_data.csv" and "readme.csv" are the raw data of different parameters measured in vermicompost samples during the vermicomposting of Acacia dealbata by the earthworm Eisenia andrei and an explanation of each parameter and the unit in which the parameter is expressed.  "germination test.csv" and "radicle_length.csv" are the results of an ecotoxicological test on the effect of A. dealbata biomass and vermicompost on the germination and radicle elongation in Lepidium sativum.

opencc-by-4.0Aug 2022View details →

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Supplementary material 2 from: Bayliss H, Stewart G, Wilcox A, Randall N (2013) A perceived gap between invasive species research and stakeholder priorities. NeoBiota 19: 67-82. https://doi.org/10.3897/neobiota.19.4897

Journal article classifications (doi: 10.3897/neobiota.19.4897.app2) File format: Comma Separated Value File (csv).:

opencc-by-4.0Oct 2013View details →

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Supplementary material 3 from: Bongard C, Butler K, Fulthorpe R (2013) Investigation of fungal root colonizers of the invasive plant Vincetoxicum rossicum and co-occurring local native plants in a field and woodland area in Southern Ontario. Nature Conservation 4: 55-76. https://doi.org/10.3897/natureconservation.4.3578

Supplementary material 3 from: Bongard C, Butler K, Fulthorpe R (2013) Investigation of fungal root colonizers of the invasive plant Vincetoxicum rossicum and co-occurring local native plants in a field and woodland area in Southern Ontario. Nature Conservation 4: 55-76. https://doi.org/10.3897/natureconservation.4.3578

opencc-by-4.0Jun 2013View details →

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Supplementary material 1 from: Bayliss H, Stewart G, Wilcox A, Randall N (2013) A perceived gap between invasive species research and stakeholder priorities. NeoBiota 19: 67-82. https://doi.org/10.3897/neobiota.19.4897

Stakeholder priorities. (doi: 10.3897/neobiota.19.4897.app1) File format: Micrisoft Comma Separated Value File (csv).:

opencc-by-4.0Oct 2013View details →

zenodo44/100

The expression level of microRNA in invasive and nonivasive gonadotrph pituitary tumors

The data include the normalized read counts from smallRNA sequencing of 20 RNA samples from gonadotroph pituitary tumors The quality of small RNA fractions was assessed using Agilent 2100 Bioanalyzer with Small RNA Kit Chip (Agilent) and measured with Qubit RNA HS Assay Kits (Thermo Fisher Scientific). One μg of total RNA was used for sequencing library construction with an Ion Total RNA-Seq Kit v2 (Thermo Fisher Scientific), according to the manufacturer’s protocol. Ion Xpress™ RNA-Seq Barcode Kit was used for hybridization and ligation of RNA adapters that allows for multiplexed sequencing. RNA reverse transcription and subsequent cDNA purification and library size selection were performed using Nucleic Acid Binding Beads. cDNA was PCR-amplified, followed by DNA purification and size selection. The amount and size distribution of the amplified DNA was determined using Bioanalyzer 2100 using a High Sensitivity DNA Kit (Agilent). The length of miRNA ligation products in barcoded libraries ranged between 94 and114 bp. Template preparation for clonal amplification of up to four miRNA libraries at a concentration of 18pM and loading of the PI chip were performed using Ion Chef Instrument, with Ion PI™ Hi-Q™ Chef Kit (Thermo Fisher Scientific). Ion Proton Sequencer (Thermo Fisher Scientific) was used for sequencing. Unmapped bam files were converted into fastq files with a bamToFastq script from bedtools. Read mapping to known human miRNAs (according to miRBase v.22) and reads quantification were performed using miRDeep2.14. Data normalization was performed using DESeq2.

opencc-by-4.0May 2024View details →

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Supplementary Material for "Invasive plants are associated with increased fire frequency but decreased burn severity in Southern California shrubland ecosystems"

This Zenodo repository contains all data, scripts, and supplementary materials for the manuscript entitled, "Invasive plants are associated with increased fire frequency but decreased burn severity in Southern California shrubland ecosystems".

opencc-by-4.0Jun 2024View details →

zenodo44/100

Ecological Drivers of Invasive Lionfish (Pterois volitans and Pterois miles) Distribution Across Mesophotic Reefs in Bermuda

The data and code in this document were obtained using diver-led visual surveys of mesophotic reef sites to examine how variations in potential ecological drivers may affect lionfish distribution on mesophotic reefs in Bermuda. These data and code were used for analysis and figure preparation in association with publication in Frontiers in Marine Science (Goodbody-Gringley et al. 2019).

opencc-by-4.0Mar 2019View details →

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Dataset of Horizon scanning to identify invasion risk of ornamental plants marketed in Spain

Full dataset for the research entitled "Horizon scanning to identify invasion risk of ornamental plants marketed in Spain". We classified non-native species into six different lists based on their invasion status in Spain and elsewhere, their climatic suitability in Spain, and their potential environmental and socioeconomic impacts.

opencc-by-4.0Aug 2019View details →

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Projected distribution of invasive plant species in the tropical Andes under climate change

Distribution maps of 11 invasive species now and in the future (2040-70). The projections were the result of the assembly of three algorithms: Adaptive Boosting (AdaBoost), Boosted Regression Trees (BRT), and Extreme Gradient Boosting (XGBoost). Future projections were made for three global circulation models and three climate change scenarios, each with low (SSP126), medium (SSP370), and high (SSP585) levels of carbon emission. Habitat suitability and presence/absence maps are also included. The threshold for establishing a species as present was determined to be the value that maximized the TSS.  For more information, see the article accompanying the dataset by González-Trujillo et al. Mapping the threat: Projecting invasive plant distribution in the tropical Andes under climate change List of modeled invasive plant species and their known impacts in the tropics. <table> <tbody> <tr> <td> Species </td> <td> Biogeographic origin </td> <td> Impacts </td> <td> References </td> <td> GBIF data (DOIs) </td> </tr> <tr> <td> Acacia decurrens </td> <td> Australian </td> <td> Create regular layers of litter on the ground, inhibit or redirect successional processes, inhibit the expression of seed banks, and limit resource supply, leading to displacement of native plants and animals and increasing the frequency of fires. </td> <td>  (Cárdenas López et al., 2017; Le Maitre et al., 2011) </td> <td> https://doi.org/10.15468/dl.mjyxhw </td> </tr> <tr> <td> Acacia melanoxylon </td> <td> Australian </td> <td> Alter the structure and function of their ecosystems, thereby displacing their native flora. It also causes soil erosion and alters hydrological cycles, negatively affecting agriculture. </td> <td> (Kumschick and Jansen, 2023; Le Maitre et al., 2011)   </td> <td> https://doi.org/10.15468/dl.4cugnk </td> </tr> <tr> <td> Arundo donax   </td> <td> Holarctic </td> <td> Alter the natural vegetation structure, outcompete native plant species and diminish the diversity and abundance of animals such as arthropods and birds. It also drives out soil, fuels forest fires, displaces native species, and increases the invasion of ticks that affect livestock. </td> <td> (Cárdenas López et al., 2017; Girotto et al., 2021; Lambert et al., 2010) </td> <td> https://doi.org/10.15468/dl.bfep4t </td> </tr> <tr> <td> Genista monspessulana </td> <td> Holarctic </td> <td> Alter fire regime and nutrient cycling displace native species and decrease native diversity by forming dense monospecific stands. It also facilitates the establishment of other invasive species and produces seeds that are toxic to livestock and humans. </td> <td> (Cárdenas López et al., 2017; Herrera et al., 2016; Pauchard et al., 2008) </td> <td> https://doi.org/10.15468/dl.gyhnxh </td> </tr> <tr> <td> Hedychium coronarium </td> <td> Indo-Malesian </td> <td> Alter hydrological and nutrient cycles in soil. It forms thickets that suppress the successional and regeneration processes of native species, thus affecting the native flora and crops. </td> <td> (Cárdenas López et al., 2017; Costa et al., 2019) </td> <td> https://doi.org/10.15468/dl.6z2jgb </td> </tr> <tr> <td> Melinis minutiflora </td> <td> African </td> <td> Increases the occurrence of fires, displaces native species, and alters soil properties and decomposition. It also inhibits the growth of native species. </td> <td> (Cárdenas López et al., 2017; Nogueira et al., 2019; Sandoval et al., 2022) </td> <td> https://doi.org/10.15468/dl.fsqwsv </td> </tr> <tr> <td> Pteridium aquilinum </td> <td> Holarctic </td> <td> Alter vegetation success processes affect crops and cause livestock poisoning.  It also produces acids that inhibit root growth in native and cultivated species. </td> <td>  (Berget et al., 2015; Cárdenas López et al., 2017; Valdez-Ramírez et al., 2020)   </td> <td> https://doi.org/10.15468/dl.sp4uuv </td> </tr> <tr> <td> Ricinus communis </td> <td> African </td> <td> Alter vegetation success processes affect crops and cause livestock poisoning. It also produces acids that inhibit root growth in native and cultivated species. </td> <td> (Cárdenas López et al., 2017; Sandoval et al., 2022; Silva and Fabricante, 2022) </td> <td> https://doi.org/10.15468/dl.dhbphb </td> </tr> <tr> <td> Senecio madagascariensis </td> <td> African </td> <td> Alter soil nutrient cycles, damage to agricultural crops, and outcompete native species. It also contains substances that are toxic to both animals and humans.  </td> <td> (Wijayabandara et al., 2021) </td> <td> https://doi.org/10.15468/dl.7e8eyx </td> </tr> <tr> <td> Thunbergia alata </td> <td> African </td> <td> Displace native species and reduce habitat heterogeneity, thereby affecting the structure and function of native ecosystems. </td> <td> (Cárdenas López et al., 2017; Quijano-Abril et al., 2021) </td> <td> https://doi.org/10.15468/dl.g9zybc </td> </tr> <tr> <td> Ulex europeaus </td> <td> Holarctic </td> <td> Dry soil and increase the occurrence of fires. Inhibits vegetative growth, including pastures in agricultural and livestock lands. </td> <td> (Anderson and Anderson, 2009; Cárdenas López et al., 2017) </td> <td> https://doi.org/10.15468/dl.6642q9 </td> </tr> </tbody> </table>

opencc-by-4.0Apr 2024View details →

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First spectral Reflectance Dataset of Equisetum hyemale (Snake grass) Invasive Alien Plant

This repository contains the first spectral reflectance dataset of snakegrass (Equisetum hyemale) invasive alien species recorded in South Africa. Spectral reflectance measurements were collected under lab conditions using the Spectral Evolution PSR-300 full-range spectrometer. Spectral pre-processing was performed in R statistical software to remove noisy spectra and regions and perform averaging per sample (code accessible: https://github.com/mkganyago/SpectralEvolutionFileReader).

opencc-by-4.0Aug 2024View details →

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Data and code for "Negative effects of allelopathic plant invasion intensify as the growth season progresses"

Initial release for TT23_ms_data. Repository contains data and code for "Negative effects of allelopathic plant invasion intensify as the growth season progresses" by Perkowski et al. (in prep). Manuscript plots and tables are also included in release.

opencc-by-4.0Sep 2024View details →

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Data from: Efficacy of labile carbon addition to reduce fast-growing, invasive non-native plants: A review and meta-analysis

Data and analysis in R for the publication "Efficacy of labile carbon addition to reduce fast-growing, invasive non-native plants: A review and meta-analysis" by Ossanna & Gornish (2023), Journal of Applied Ecology, 60(2), 218-228. <a href="http://doi.org/10.1111/1365-2664.14324">https://doi.org/10.1111/1365-2664.14324</a>.

opencc-by-4.0Oct 2022View details →

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Statistical analysis and dataset for: Invasive ant learning is not affected by seven potential neuroactive chemicals

Linked to the journal article published in Current Zoology (<a href="https://doi.org/10.1093/cz/zoad001">https://doi.org/10.1093/cz/zoad001</a>). Abstract Argentine ants (Linepithema humile) are one of the most damaging invasive alien species worldwide. Enhancing or disrupting cognitive abilities, such as learning, has the potential to improve management efforts, for example by increasing preference for a bait, or improving ants’ ability to learn its characteristics or location. Nectar-feeding insects are often the victims of psychoactive manipulation, with plants lacing their nectar with secondary metabolites such as alkaloids and non-protein amino acids which often alter learning, foraging, or recruitment. However, the effect of neuroactive chemicals has seldomly been explored in ants. Here, we test the effects of seven potential neuroactive chemicals - two alkaloids: caffeine and nicotine; two biogenic amines: dopamine and octopamine, and three non-protein amino acids: β-alanine, GABA and taurine - on the cognitive abilities of invasive L. humile using bifurcation mazes. Our results confirm that these ants are strong associative learners, requiring as little as one experience to develop an association. However, we show no short-term effect of any of the chemicals tested on spatial learning, and in addition no effect of caffeine on short-term olfactory learning. This lack of effect is surprising, given the extensive reports of the tested chemicals affecting learning and foraging in bees. This mismatch could be due to the heavy bias towards bees in the literature, a positive result publication bias, or differences in methodology.

opencc-by-4.0Oct 2022View details →

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Mitochondrial genome sequencing and analysis of the invasive Microstegium vimineum: a resource for systematics, invasion history, and management

Table S1: Accession data for Microstegium samples included in this study. File S1: Alignment of Mitochondrial CDS for Poales mitochondrial sequences. File S2: SNP data for Microstegium vimineum mitochondrial variants. Figure S1: Transposable element content in the Microstegium vimineum mitogenome. Figure S2: Summary of Kraken2 output.

opencc-by-4.0Feb 2023View details →

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Belgian baseline distribution of invasive alien species of Union concern (Regulation (EU) 1143/2014)

Aims and scope The European Alien Species Information Network team (EASIN, http://easin.jrc.ec.europa.eu) of the Joint Research Centre (JRC) requests the European member states to provide and verify the baseline distribution data of invasive alien species of Union Concern (Tsiamis et al. 2017) as provided by the EASIN mapping system (Katsanevakis et al. 2012). These are species with documented biodiversity impacts sensu the European Union Regulation on the prevention and management of the introduction and spread of Invasive Alien Species in Europe (IAS Regulation No 1143/2014) (European Union 2014). The purpose of this baseline is to set a representative geographic account of the distribution of these species at (i) country and (ii) 10km2 grid level before the entry into force of the Regulation (and the listing of species through implementing regulations). This distribution provides the baseline for subsequent reporting by the member states as required by the IAS Regulation. The dataset provides a shapefile on the baseline distribution of the invasive species of EU concern in Belgium based on an aggregated dataset (ias_belgium_t0_xxxx). Data were compiled from various datasets holding invasive species observations such as data from research institutes and research projects (76%), citizen science observatories (23%) and a range of other sources (1%) such as governmental agencies, water managers, invasive species control companies, angling and hunting organizations etc. Data were normalized using a custom mapping of the original data files to Darwin Core (Wieczorek et al. 2012) where possible. Species names were mapped to the GBIF Backbone Taxonomy (GBIF 2016) using the species API (http://www.gbif.org/developer/species). Appropriate selection of records was performed based on predefined cut-off dates (see data range) and record content validation (see validation procedure). Data were then joined with GRID10k layer Belgium based on GRID10k cellcodes (ETRS_1989_LAEA). File description The dataset contains two types of data: <ol> <li> Shapefiles (ias_belgium_t0_2016.zip, ias_belgium_t0_2018.zip, ias_belgium_t0_2020.zip and ias_belgium_t0_2023.zip) providing the presence of the species of EU concern at 10km2 (European Terrestrial Reference System projection - 1989 ETRS_1989_LAEA) level (resp. for 1st, 2nd, 3rd and 4th batch of species added to the Union List). The attributes table field “ACCEPTED” provides coded information on the distribution validation: correct squares (Y) represent data overlapping between the collated baseline data for Belgium and the EASIN maps. Incorrect data (N) can represent records mapped on wrong 10km2 squares, non-validated records or records that fall outside of the date range applied. New squares (New) represent previously unpublished data that were absent from EASIN. The work was supervised and validated by the Belgian national scientific council on invasive alien species, an official consultative structure coordinating scientific input and data aggregation between Belgian regions and institutions with regards to technical implementation of the Regulation No 1143/2014 on invasive alien species. </li> <li> A geojson version of the same shapefiles (ias_belgium_t0_2016.geojson, ias_belgium_t0_2018.geojson, ias_belgium_t0_2020.geojson, ias_belgium_t0_2023.geojson), in WGS84 projection. </li> </ol> Date range The baseline distribution reflects the current status and situation of the IAS of Union concern in Belgium at 10km2 grid level. Historical records were not taken into consideration for the baseline. The choice of cut-off date was based on an analysis of the relative contribution of a year in defining the total distribution of the species at 1km2 grid level (calculated as [the sum of unique UTM 1km2 grid squares year-1/total number of unique UTM  1km2 grid squares for that species]) based on the complete dataset.  The dataset comprises observations of Union List invasive species from 2000 until the entry into force for every species, hence between January 2000 (2000-01-01) and February 2016 (2016-01-31) for the species of the first batch (ias_belgium_t0_2016.zip), between January 2000 (2000-01-01) and August 2017 (2017-08-31) for the species of the first update of the Union List (ias_belgium_t0_2018.zip), between January 2000 (2000-01-01) and August 2019 (2019-08-31) for the species of the second update of the Union List (ias_belgium_t0_2020.zip), between January 2000 (2000-01-01) and August 2022 (2022-08-2) for the species of the third update (ias_belgium_t0_2023.zip). For raccoon dog (Nyctereutes procyonoides), included in the second update (ias_belgium_t0_2020.zip) the date cut-off is 01/01/2000 to 31/01/2019. Note that Pistia stratiotes, Xenopus laevis and Fundulus heteroclitus enter into force only as from 2 August 2024, Celastrus orbiculatus on 2 August 2027 because of prolonged transitionary measures. However, these species are already included in the baseline now with a cut-off date set on August 2022. The data include both casual records as well as established populations and also comprise data from eradicated populations for the period 2000-2022. Validation procedure Record validation was performed to exclude dubious records, wrong identifications etc. This was done based on the IdentificationVerificationStatus field (to which validation information from original data were mapped) if available. In general, non-validated data were not considered for ias_belgium_t0_xxxx. Data were validated in the original datasets based on evidence (e.g. pictures), on the observer’s experience, or based on a set of predefined rules (e.g. automated validation based on geographic filtering). Data from research institutes were generally considered validated. A few casual records of EU list species that were clearly planted were discarded manually. When the original dataset did not mention any validation status, records were not considered validated and therefore not taken into account for ias_belgium_t0_xxxx, unless for Chinese mitten crab Eriocheir sinensis, ruddy duck Oxyura jamaicensis, raccoon Procyon lotor, Siberian ground squirrel Tamias sibiricus, sacred ibis Threskiornis aethiopicus, and red-eared slider Trachemys spp. For these species, we assumed all records were correct as they originate from dedicated sampling (E. sinensis) within research projects or represent species that are readily recognizable by people in the field. Likewise, for the second batch species, all records of Egyptian goose Alopochen aegyptiaca, Himalayan balsam Impatiens glandulifera, giant hogweed Heracleum mantegazzianum and muskrat Ondatra zibethicus (mostly derived from public eradication services) were considered validated and taken into account. For the third batch species, records of the widespread tree of heaven Ailanthus altissima and pumpkinseed Lepomis gibbosus were also considered validated. For species with less than 10 records (Salvinia molesta, Acridotheres tristis), every record was manually checked. A visual check was performed on the resulting distribution maps by representatives of the Belgian scientific council on IAS and the Belgian Comittee on IAS, two official bodies created in response to the EU Regulation within the framework of a cooperation agreement between the Belgian regions and the Federal Authority. Data in the distribution maps provided by EASIN but not present in ias_belgium_t0_xxxx were carefully checked and kept/rejected accordingly. Data providers The providers of the invasive species data for this exercise (individuals and their respective organizations) are listed in the "data providers" section of the dataset metadata. Much of the primary occurrence data that formed the basis for this aggregated dataset will be published as open data on the Global Biodiversity Information Facility (GBIF) within the framework of the Tracking Invasive Alien Species project (TrIAS, https://osf.io/7dpgr/, 2017-2020).

opencc-zeroMar 2023View details →

zenodo44/100

Repeatability of energy metabolism and resistance to dehydration in the invasive slug Limax maximus

Dataset from the paper "Repeatability of energy metabolism and resistance to dehydration in the invasive slug Limax maximus" It contains metabolic rates and body mass assessed on 30 individuals of L. maximus in three different trials. Metabolic rates are in CO2 ml/m

opencc-by-4.0Jan 2012View details →

zenodo44/100

Assessment of current and future invasive plants in protected dune habitats of the Atlantic coastal region for the LIFE DUNIAS project (LIFE20 NAT/BE/001442)

This .csv file contains the raw data from the risk screening supplementing the LIFE DUNIAS horizon scan for (invasive) alien species in protected habitats of Atlantic coastal dune ecosystems (<a href="https://doi.org/10.21436/inbor.86703335">Adriaens et al. 2022</a>). We gladly refer to the annexes and methods section in this report for more explanation about the fields and their contained values. The file contains the following fields: TaxonName: original taxonomic name of the considered alien species WorkName: taxonomic name of the considered alien species after lumping of subspecies, closely related species of a complex, functionally similar species of the same genus (see chapter 3.1) hab_xxxx (1110, 1130, 1140, 1210, 1230, 1310, 1320, 1330, 2110, 2120, 2130, 2140, 21A0, 2150, 2190, 2160, 2170, 2180): susceptibility of habitat for the alien species (4-digit code refering to the Annex I habitat under the Habitats Directive)  occ_XX (BE, FR, IE, NL, ES, UK, DK, DE, PT, ALL): occupancy of the alien species in different countries of the Atlantic European region (as the number of 10km2 squares per country). Country codes: BE = Belgium, FR = France, IE = Ireland, NL = Netherlands, ES = Spain, UK = United Kingdom, DK = Denmark, DE = Germany, PT = Portugal, ALL = total for all countries. scor_XXX_xxxx: score of the assessment per criterium (INT = introduction, EST = establishment, SPR = spread, IMP = ecological impact, ALL = overall score) and per habitat group (salt = salties, sand = sandies, shru = shrubbies) conf_XXX_xxxx: confidence on the scores of the assessment per criterium (INT = introduction, EST = establishment, SPR = spread, IMP = ecological impact, ALL = overall score) and per habitat group (salt = salties, sand = sandies, shru = shrubbies) scor_ALL_MAX: maximum ecological impact score of the alien taxon across all habitats

opencc-zeroApr 2023View details →

zenodo44/100

Data from: Non-invasive Assessment of Cartilage Damage of the Human Knee using Acoustic Emission Monitoring: a Pilot Cadaver Study

This dataset accompanies the following article: "Non-invasive Assessment of Cartilage Damage of the Human Knee using Acoustic Emission Monitoring: a Pilot Cadaver Study," in IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2023.3263388. Knee acoustic emissions (AE) recorded in the 100-450 kHz and 15-200kHz frequency ranges from a cadaver specimen knee in flexion/extension. Four stages of artificially inflicted cartilage damage and two sensor positions were investigated.  Stages of artificially inflicted cartilage damage: the cartilage surface damage on the medial compartment, KL III; the cartilage surface damage on the medial compartment plus patellofemoral surface, KL III; the cartilage surface damage on the medial compartment plus on the patellofemoral surface KL IV; the cartilage surface damage on the medial compartment plus on the patellofemoral surface and lateral compartment. Sensor positions: medial and lateral  knee

opencc-by-4.0Mar 2023View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas

neuroscienceopenDocumentation, web resources, and API references are available online.

Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage

behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.

Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb

electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.

Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl

behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.

Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro

neuroscienceopenPublished datasets are available on demand over the internet.

Last verified 2026-04-29Open record