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Figure 12 from: Jochum A, Slapnik R, Klussmann-Kolb A, Páll-Gergely B, Kampschulte M, Martels G, Vrabec M, Nesselhauf C, Weigand AM (2015) Groping through the black box of variability: An integrative taxonomic and nomenclatural re-evaluation of Zospeum isselianum Pollonera, 1887 and allied species using new imaging technology (Nano-CT, SEM), conchological, histological and molecular data (Ellobioidea, Carychiidae). Subterranean Biology 16: 123-165. https://doi.org/10.3897/subtbiol.16.5758
Figure 12 - Light micrograph showing histological overview of the digestive system of Zospeum sp. (Konečka zijalka) (CSR SASA 21675). A Mouth and buccal apparatus. Mouth slit between oral lappets (m), crescent-shaped jaw (j), radula (r), pharynx (ph), digestive gland (dg), intestine (i), kidney (k), columellar muscle (cm), and pedal ganglia (peg) B Mantle gland (mag), sigmoid intestine (si), radular sac (rs), cerebral ganglion (cg), mucus glands (mg), kidney (k), heart showing auricle and ventricle (h), digestive gland (dg), columellar muscle (cm), oesophagus (oe) and salivary glands (sg).
Figure 7 from: Jochum A, Slapnik R, Klussmann-Kolb A, Páll-Gergely B, Kampschulte M, Martels G, Vrabec M, Nesselhauf C, Weigand AM (2015) Groping through the black box of variability: An integrative taxonomic and nomenclatural re-evaluation of Zospeum isselianum Pollonera, 1887 and allied species using new imaging technology (Nano-CT, SEM), conchological, histological and molecular data (Ellobioidea, Carychiidae). Subterranean Biology 16: 123-165. https://doi.org/10.3897/subtbiol.16.5758
Figure 7 - Kimura−2-parameter (K2P) genetic distance table in %. Delineated species are marked with boxes. For each individual specimen, its morphospecies designation and genetic distance data to all remaining specimens are given.
Figure 11 from: Jochum A, Slapnik R, Klussmann-Kolb A, Páll-Gergely B, Kampschulte M, Martels G, Vrabec M, Nesselhauf C, Weigand AM (2015) Groping through the black box of variability: An integrative taxonomic and nomenclatural re-evaluation of Zospeum isselianum Pollonera, 1887 and allied species using new imaging technology (Nano-CT, SEM), conchological, histological and molecular data (Ellobioidea, Carychiidae). Subterranean Biology 16: 123-165. https://doi.org/10.3897/subtbiol.16.5758
Figure 11 - Type and shell images Plate 5: A–E Zospeum kupitzense holotype: (SMF 256354) F–H Zospeum kupitzense (SMNH 3291), Ložekarjeva zijalka I–M Zospeum amoenum (RS59), Potočka zijalka.
Figure 10 from: Jochum A, Slapnik R, Klussmann-Kolb A, Páll-Gergely B, Kampschulte M, Martels G, Vrabec M, Nesselhauf C, Weigand AM (2015) Groping through the black box of variability: An integrative taxonomic and nomenclatural re-evaluation of Zospeum isselianum Pollonera, 1887 and allied species using new imaging technology (Nano-CT, SEM), conchological, histological and molecular data (Ellobioidea, Carychiidae). Subterranean Biology 16: 123-165. https://doi.org/10.3897/subtbiol.16.5758
Figure 10 - NanoCT−SEM Plate 4. A–F Zospeum kupitzense (RS3291), Ložekarjeva zijalka G. Zospeum alpestre (SMNH 2216), Kamniška jama H, I−L Zospeum isselianum Ihanščica cave J−K Zospeum amoenum (RS59), Potočka zijalka.
Figure 1 from: Jochum A, Slapnik R, Klussmann-Kolb A, Páll-Gergely B, Kampschulte M, Martels G, Vrabec M, Nesselhauf C, Weigand AM (2015) Groping through the black box of variability: An integrative taxonomic and nomenclatural re-evaluation of Zospeum isselianum Pollonera, 1887 and allied species using new imaging technology (Nano-CT, SEM), conchological, histological and molecular data (Ellobioidea, Carychiidae). Subterranean Biology 16: 123-165. https://doi.org/10.3897/subtbiol.16.5758
Figure 1 - Zospeum isselianum potential distribution collated from the literature and museum collections (I. Sajko, CSR SASA).
Figure 15 from: Jochum A, Slapnik R, Klussmann-Kolb A, Páll-Gergely B, Kampschulte M, Martels G, Vrabec M, Nesselhauf C, Weigand AM (2015) Groping through the black box of variability: An integrative taxonomic and nomenclatural re-evaluation of Zospeum isselianum Pollonera, 1887 and allied species using new imaging technology (Nano-CT, SEM), conchological, histological and molecular data (Ellobioidea, Carychiidae). Subterranean Biology 16: 123-165. https://doi.org/10.3897/subtbiol.16.5758
Figure 15 - Light micrograph showing histological appearance of the radular complex of Zospeum sp. (Konečka zijalka) (CSR SASA 21675). A Odontoblasts (odb) grouped in lower posterior section of radular sheath, radular teeth (rt), odontophore (od), and collostyle (col) B Section through an acinus of the ovotestis showing some stages of development of sustentacular cells (Sertoli cells) (sc) with spermatogonia (spg), spermatids (sp) and oogonia (og).
Figure 3 from: Jochum A, Slapnik R, Klussmann-Kolb A, Páll-Gergely B, Kampschulte M, Martels G, Vrabec M, Nesselhauf C, Weigand AM (2015) Groping through the black box of variability: An integrative taxonomic and nomenclatural re-evaluation of Zospeum isselianum Pollonera, 1887 and allied species using new imaging technology (Nano-CT, SEM), conchological, histological and molecular data (Ellobioidea, Carychiidae). Subterranean Biology 16: 123-165. https://doi.org/10.3897/subtbiol.16.5758
Figure 3 - Geographical position and river drainage systems of the Julian Alps and the Kamnik Savinja Alps range. Sampling sites: 1 Turjeva jama 2 Ložekarjeva jama 3 Konečka zijalka 4 Potočka zijalka 5 Jama na Zgornjih Brsnikih 6 Tomažičeva zijalka 7 Kamniška jama 8 Ihanščica cave. Digital terrain model from Jarvis et al., 2008. River network data courtesy of Public Information of Slovenia, the Surveying and Mapping Authority of the Republic of Slovenia, DPK1000V (2008).
Figure 9 from: Jochum A, Slapnik R, Klussmann-Kolb A, Páll-Gergely B, Kampschulte M, Martels G, Vrabec M, Nesselhauf C, Weigand AM (2015) Groping through the black box of variability: An integrative taxonomic and nomenclatural re-evaluation of Zospeum isselianum Pollonera, 1887 and allied species using new imaging technology (Nano-CT, SEM), conchological, histological and molecular data (Ellobioidea, Carychiidae). Subterranean Biology 16: 123-165. https://doi.org/10.3897/subtbiol.16.5758
Figure 9 - SEM Microstructures Plate 3. A−F Zospeum isselianum (CSR SASA 37013 conspecific), Turjeva jama G−H Zospeum sp. (CSR SASA 21675), Konečka zijalka I−L Zospeum kupitzense (SMNH 3291), Ložekarjeva jama M−O Zospeum amoenum (RS103), Ihanščica cave.
New Technologies to Determine Carotid Plaque Vulnerability in Patients With Significant Carotid Plaques
ClinicalTrials.gov study NCT03335033. IPD Sharing: NO. Countries: 1. Publications: 0.
Refinement and Assessment of New MRI Technologies for Cardiovascular Exams Using the Phillips CMR Patch
ClinicalTrials.gov study NCT06331507. IPD Sharing: NO. Countries: 1. Publications: 0.
A New Adaptive Physical Activity Technology in Older Adults
ClinicalTrials.gov study NCT02467491. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of New Fitting Characteristics for Extended Wear Hearing Aid Technology
ClinicalTrials.gov study NCT05274165. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluating Astaxanthin Bioavailability, and a New Technology for Improving it, Using Natural Food Materials Only
ClinicalTrials.gov study NCT04583722. IPD Sharing: NO. Countries: 1. Publications: 0.
Prospective Case Collection Study for New Mammography Technologies
ClinicalTrials.gov study NCT05199701. IPD Sharing: NO. Countries: 1. Publications: 0.
New Technologies to Help Manage ADHD
ClinicalTrials.gov study NCT02390791. IPD Sharing: NO. Countries: 1. Publications: 0.
To Explore the Value of New MR Technology in Non-invasive Quantitative Assessment of Systemic Metabolism, Disease Status and Prognosis in Patients With Metabolic-Associated Fatty Liver Disease
ClinicalTrials.gov study NCT07149571. IPD Sharing: NO. Countries: 1. Publications: 0.
New Biomarkers and Therapeutic Targets in Osteoporosis Via Omics Technologies
ClinicalTrials.gov study NCT06525688. IPD Sharing: NO. Countries: 1. Publications: 0.
LEARN: Learning Environment for Artificial Intelligence in Radiotherapy New Technology
ClinicalTrials.gov study NCT05184790. IPD Sharing: YES. Countries: 1. Publications: 0.
Evaluation of Efficiency in Cancerology of New Technologies as Telemedicine and Conected Objects (e-DomSanté)
ClinicalTrials.gov study NCT03359759. IPD Sharing: NO. Countries: 1. Publications: 0.
Exploring New Technologies to Manage Cancer Pain in the Community
ClinicalTrials.gov study NCT02341846. IPD Sharing: Not stated. Countries: 0. Publications: 1.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.
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.
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.
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.
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.