cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/qqza5e/nydxc1
title: J1218+1107_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/pkzbku
title: J1246+1834_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/yantv3
title: J1530+0926_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/z40zf0
title: J1432+0811_tc.fits

description: :unav
DOI: 10.17632/482vfknzy4.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP12S0918T section 3-4)
DOI: 10.17632/53twrxjsb3.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP12S0918T section 3-2)
DOI: 10.17632/82s2kn89tg.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP12S0918T section 2)
DOI: 10.17632/fh9f85s2g5.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP12S0918T section 1)
DOI: 10.17632/sv55jvrchm.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP12S0918T section 3-1)
DOI: 10.17632/t9g7p2v4tg.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP12S0918T section 3-3)
DOI: 10.7910/dvn/qqza5e/cpynpy
title: J1112+0338_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/hpxn0k
title: J0858+1945b_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/hztskw
title: J1005+1703_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/jqdabe
title: J1153+0659_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/lbyxke
title: J0752+1612_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/sdqo82
title: J1240+1946_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/tvaqug
title: J0917+5601_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/wbhjd3
title: J0858+1945a_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/x4wji5
title: J0858+1943_tc.fits

description: :unav
DOI: 10.17632/23nsgmvzys.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR521T section 2-2)
DOI: 10.17632/8s3v5jj3bj.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample KB170T section 2-4)
DOI: 10.17632/jhhs4rjn68.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR521T section 1-2 & section 2-1)
DOI: 10.17632/kdv3b2j9cf.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample KB170T section 2-5)
DOI: 10.17632/rs37hjx46b.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR521T section 1-1)
DOI: 10.21227/1ne0-7004
title: The USyd Campus Dataset

description: Vision and lidar are complementary sensors that are incorporated into many applications of intelligent transportation systems. These sensors have been used to great effect in research related to perception, navigation and deep-learning applications. Despite this success, the validation of algorithm robustness has recently been recognised as a major challenge for the massive deployment of these new technologies. It is well known that algorithms and models trained or tested with a particular dataset tend not to generalise well for other scenarios. For certain applications, autonomous vehicles in particular, algorithm failures can lead to potentially catastrophic consequences. To minimise this risk, it is essential to evaluate the robustness and reliability of algorithms before deploying them in real life applications. This paper presents a long-term, large-scale dataset collected over the period of 1.5 years on a weekly basis over the University of Sydney campus and surrounds. The USyd Campus Dataset has been designed to aid in the development, validation and testing of algorithm robustness under a wide variety of conditions. It includes multiple sensor modalities and covers various environmental conditions as well as diverse changes to illumination, scene structure, and pedestrian/vehicle traffic volumes. The dataset also includes a semantic segmentation dataset with different illumination conditions and camera perspectives, and a ‘Road’ class image dataset which is automatically generated using lidar. To facilitate the dataset use by researchers and practitioners, we also provide a set of development tools for the analysis and visualisation of the dataset.
DOI: 10.21227/5kby-xc72
title: Magnetic resonance spectroscopy data for GABA quantification using MEGAPRESS pulse sequence

description: Magnetic resonance spectroscopy (MRS) data for a series of GABA phantoms specifically designed to provide ground truth data for GABA quantification based on MRS data. The spectra were obtained using the WIP Siemens implementation svs-edit of the common edited spectroscopy MEGAPRESS sequence on a 3T Siemens Magnetom Skyra system installed in the Clinical Imaging Unit at Swansea University (UK).
DOI: 10.5281/zenodo.3369544
title: Supplementary dataset for journal article "AC Characteristics of Low Ohmic Foil Shunts Influenced by Eddy Currents in the Mounting Body"

description: This is the complete simulation environment for all simulations and plots done for the paper 'AC Characteristics of Low Ohmic Foil Shunts Influenced by Eddy Currents in the Mounting Body'. The entire simulation is based on fully free software: Linux GNU Octave Fast Field Solver: Fast Henry All scripts and models have been copied together in one zip-archive.
DOI: 10.5281/zenodo.3369545
title: Supplementary dataset for journal article "AC Characteristics of Low Ohmic Foil Shunts Influenced by Eddy Currents in the Mounting Body"

description: This is the complete simulation environment for all simulations and plots done for the paper 'AC Characteristics of Low Ohmic Foil Shunts Influenced by Eddy Currents in the Mounting Body'. The entire simulation is based on fully free software: Linux GNU Octave Fast Field Solver: Fast Henry All scripts and models have been copied together in one zip-archive.
DOI: 10.7910/dvn/qqza5e/a4kseo
title: J1422+2352_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/dlsztl
title: J1409+4138_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/hzlgbh
title: LP731-76_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/l1xw5s
title: J1348+2336_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/qdewlu
title: J1332+3059_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/r5eu62
title: J1259+3558_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/rb7p4c
title: J1531+2851_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/suxqma
title: J1241+1905_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/udolds
title: J0738+1829_tc.fits

description: :unav
DOI: 10.17632/5fn3xw2bhv.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample JB197T section 3-6)
DOI: 10.17632/5k3f8mw22y.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample KB170T section 2-1)
DOI: 10.17632/9945b5fhk6.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample KB170T section 1)
DOI: 10.17632/b2mknzsd94.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample KB170T section 2-3)
DOI: 10.17632/fbm7h4fyhn.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample KB170T section 2-2)
DOI: 10.17632/pwrwdyy375.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample JB197T section 3-5)
DOI: 10.17632/z82b3599tn.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample JB197T section 3-4)
DOI: 10.21227/mbcw-6q46
title: Magnetic resonance spectroscopy data for GABA quantification using MEGAPRESS pulse sequence

description: Magnetic resonance spectroscopy (MRS) data for a series of GABA phantoms specifically designed to provide ground truth data for GABA quantification based on MRS data. The spectra were obtained using the WIP Siemens implementation svs-edit of the common edited spectroscopy MEGAPRESS sequence on a 3T Siemens Magnetom Skyra system installed in the Clinical Imaging Unit at Swansea University (UK).
DOI: 10.7910/dvn/qqza5e/97e7ry
title: J0811+0846_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/9ig5mj
title: J1142+2642_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/dmcioy
title: J0958+0558_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/hhuqux
title: J1020+0814_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/kpolop
title: J1200+2050_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/n3vdic
title: J1128+1010_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/rkmnnm
title: J0837+0333_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/x8cy7s
title: J1013+0000E_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/xigzsz
title: J0903+0540_tc.fits

description: :unav
DOI: 10.17632/6576ynbtvc.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB568T section 2)
DOI: 10.17632/f5nwfyhxk9.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample JB197T section 2 & section 3-1)
DOI: 10.17632/jr7fk92bb2.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample IB483T section 1)
DOI: 10.17632/n4d7mymn5c.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample JB197T section 1)
DOI: 10.17632/nktv5xy357.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample JB197T section 3-2)
DOI: 10.17632/r3srrxnpkm.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB568T section 1)
DOI: 10.17632/s6ypnpxk72.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample JB197T section 3-3)
DOI: 10.17632/xs5p5npjzz.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB207T section 3-4)
DOI: 10.17632/xt4hn459fp.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB483T section 2)
DOI: 10.5281/zenodo.3369895
title: InVEST model inputs and key outputs for the SESMO journal manuscript "Where should livestock graze?"

description: Archives of InVEST model data related to optimization of livestock- and water-related ecosystem services. (SESMO journal manuscript "Where should livestock graze?") 1. InVEST inputs: Includes all the inputs to run the open source models InVEST (Seasonal Water Yield and Sediment Delivery Ratio) 2. InVEST marginal values: key outputs derived from the InVEST models that are used in the optimizer (cf. manuscript). Includes baseflow marginal values (MV_SWY) and sediment marginal values (MV_SDR) 3. InVEST outputs figures: key outputs derived from the InVEST models and optimizer that were used to create the figures in the manuscript
DOI: 10.5281/zenodo.3369896
title: InVEST model inputs and key outputs for the SESMO journal manuscript "Where should livestock graze?"

description: Archives of InVEST model data related to optimization of livestock- and water-related ecosystem services. (SESMO journal manuscript "Where should livestock graze?") 1. InVEST inputs: Includes all the inputs to run the open source models InVEST (Seasonal Water Yield and Sediment Delivery Ratio) 2. InVEST marginal values: key outputs derived from the InVEST models that are used in the optimizer (cf. manuscript). Includes baseflow marginal values (MV_SWY) and sediment marginal values (MV_SDR) 3. InVEST outputs figures: key outputs derived from the InVEST models and optimizer that were used to create the figures in the manuscript
DOI: 10.7910/dvn/qqza5e/gf0jwv
title: J0736+0704_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/itcqgk
title: J0546+0112_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/rbotpq
title: J0737+0554_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/rsvsle
title: J0455+0440W_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/s5etjk
title: J2342+3049_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/vjj8gv
title: J0727+0513_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/xsa06x
title: J0802+0320_tc.fits

description: :unav
DOI: 10.17632/by5tpsf7yj.1
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB207T section 3-3)
DOI: 10.17632/c7cfhyd2p3.1
title: Data for: Microarray data on the comparison of transcript expression between normal and Pt-ptc + Pt-dpp double RNAi embryos in the common house spider Parasteatoda tepidariorum

description: A custom oligonucleotide, two-color microarray experiment was conducted to detect the differences in the transcript expression levels between untreated (normal) and Pt-patched (Pt-ptc) + Pt-decapentaplegic (Pt-dpp) double RNA interference (RNAi) embryos at late stage 5 in the common house spider Parasteatoda tepidariorum. The array probes were designed based on accumulated EST and cDNA sequences. The microarray dataset has been deposited in the Gene Expression Omnibus (GEO) Database at the National Center for Biotechnology Information (NCBI) under the accession GSE112435. Array spots that showed the intensity ratio of [Pt-ptc + Pt-dpp double RNAi]/[normal] &lt;0.6 were categorized as positive. The expressions of some of the transcripts related to the positive array spots were examined in embryos by whole-mount in situ hybridization.
DOI: 10.17632/df6vx9nzzm.3
title: Data Set of Living As Commuter and Quality of Live

description: Data is presented in the form of .xls which is divided into 2 files. The first file (TABLE. The Brief Data of The Relationship of Living As Commuter and Quality of Live) consists of sheets: 1) Perception Regarding Quality of Life, 2) Descriptive Statistics and 3) Quality of Life among Commuters and Its Antecedents. The second file (APPENDIX. The Brief Data of The Relationship of Living As Commuter and Quality of Live) consists of sheets: 1) Questionnaire, 2) Raw Data, 3) Validity and Reliability and 4) Sample Distribution. Data was taken from 384 respondents (commuter) from 30 entrances to Medan City.
DOI: 10.17632/w9jtszpmst.1
title: Associated data on the physicochemical properties of pedosediments, climatic and dendrochronological indicators for palaeogeographic reconstructions

description: Determination of the gross composition of soils in general and particles &lt;1 mm, the values of geochemical ratios and coefficients, as well as their distribution along the profile of pedosediments, a system of most information-rich pedogenetic indicators for palaeogeographic reconstruction. Data on the annual amount of precipitation and tree-ring growth of the oak-tree that were used for climate reconstruction are presented.
DOI: 10.7910/dvn/qqza5e/0epnel
title: J0158+4049_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/bx91un
title: J2110+4657S_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/e7rr9r
title: J2317+1936_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/euvz5s
title: J1907+2053_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/ro9mwd
title: J2335+3100W_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/umhsdv
title: J0035+5241S_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/zhcxtd
title: J2349+1005_tc.fits

description: :unav
DOI: 10.17632/3w2wxwnn5k.1
title: UQ_SA_NCAR_CAM5

description: This folder is consist of four sub-folder (namely, DJF, JJA, ANN, and Script). The DJF, JJA and ANN folder contain NCAR-CAM5 simulated dataset, used for uncertainty quantification based cloud parameterization sensitivity analysis. The data sub-folder DJF, JJA, and ANN can be read as the December – February, June – August, and the annual mean of simulated data. The script sub-folder contains the script required to analyse the sensitivity analysis. Note: The data and scripts in sub-folders are the part of my recently submitted manuscript titled “Uncertainty Quantification Based Cloud Parameterization Sensitivity Analysis in the NCAR Community Atmosphere Model” to the Journal of Advances in Modeling Earth Systems (JAMES).
DOI: 10.17632/5xwnypb2c3.1
title: Dr. Assistant Professor

description: The study included 30 donors and 30 simultaneous recipients who underwent OLT procedure from living donors between 2018 and 2019. The age range of the patients was 19 to 65 years. Participants who had oncological and hematological diseases, coronary or kidney failure, malnutrition, diabetes, traumatic brain injury or cadaveric LT, and who were using psychoactive medicines, having a respiratory system or CNS diseases were excluded from the study. Demographic data of patients, accompanying diseases, ASA classification, main etiology, the recent MELD, and CTP scores were recorded together with laboratory results routinely taken before the operations. During the operations; anesthetic medicines, duration of the operations, anesthesia, prehepatic, anhepatic, post hepatic phases, graft warm ischemia and graft cold ischemia times, initial pulmonary artery pressures, volume replacement treatment features, blood component transfusions, corticosteroid and immunosuppressive medicines administered were recorded. While routine laboratory results were recorded for the patients one day before the operation, plasma ammonia levels were obtained through enzymatic ultraviolet- assay (Randox, VK). Complete blood count (CBS) was performed on an auto-analyzer (Siemens® Advia 2120). Serum biochemical parameters were assayed by standard kit methods using an auto-analyzer (Siemens® Advia 2400). Activated partial thromboplastin time (APTT) and International Normalized Ratio (INR) was determined by an auto-analyzer (Siemens® BCS-XP). Blood samples from patients for NSE and S100β analysis were taken during the preoperative period, in the first and sixth months of the postoperative period. Serum NSE and S100β levels were measured by enzyme-linked immunosorbent assay (ELISA) (LifeSpan BioSciences, Inc. Catalog No. LS-F5575 and Cusabio® Catalog No. CSB-E08065h, respectively). A total of 56 patients with related records have been classified under three groups according to certain criteria. Group 1, healthy donors (group D): 26 patients were recruited as healthy donors. Group 2, end-stage liver failure patients (recipient, group R): 21 recipient patients diagnosed with liver failure. Group 3 (group HE): 9 recipient patients diagnosed with liver failure along with hepatic encephalopathy. Cirrhosis diagnosis was confirmed through MELD and CTP scoring, via biopsy, laboratory findings, and imaging techniques. HE diagnosis, on the other hand, was confirmed by clinical practice and West Haven criteria grading.
DOI: 10.17632/gx9jcchdkk.1
title: LiSep LSTM Evaluation Data

description: ROC and HBO data extracted for the test and training sets using the LiSep LSTM model. A more detailed description can be found in README.md.
DOI: 10.17632/tt8tmb4tbf.1
title: Base information for a local scale Species Distribution Model of Baccharis halimifolia and Juncus maritimus in the Oyambre estuary, Spain

description: The data includes the presences and pseudoabsences used for building a Species Distribution Model for the species Baccharis halimifolia and Juncus maritimus, at local scale in the Oyambre estuary, in the northern coast of Spain. It also includes the environmental rasters used for the models, both a dataset with the training conditions in 2005 and the evaluation conditions in 2014. The rasters include statistic values of hydrodynamic variables, salinity and other information used to build the models at a resolution of approaximately 10x10 m. The presences are spatial points indicating the location of known occurrences of the species in the years 2005 and 2014 in the estuary. The pseudo-absences are points generated randomly with a 20 m buffer around the presences. Readme file inside the folder with more information.
DOI: 10.17632/zv6xrjxftw.1
title: The landscape of somatic mutation in normal colorectal epithelial cells

description: Data to support the manuscript "The landscape of somatic mutation in normal colorectal epithelial cells", published in Nature in 2019. Abstract: The colorectal adenoma-carcinoma sequence has provided a paradigmatic framework for understanding the successive somatic genetic changes and consequent clonal expansions leading to cancer. As for most cancer types, however, understanding of the earliest phases of colorectal neoplastic change, which may occur in morphologically normal tissue, is comparatively limited. Here, we whole genome sequenced hundreds of normal crypts from 42 individuals. Signatures of multiple mutational processes were revealed, some ubiquitous and continuous, others only found in some individuals, in some crypts or during certain periods of life. Likely driver mutations were present in ~1% of normal colorectal crypts in middle-aged individuals, indicating that adenomas and carcinomas are rare outcomes of a pervasive process of neoplastic change across morphologically normal colorectal epithelium. Colorectal cancers exhibit substantially elevated mutation burdens relative to normal cells. Sequencing normal colorectal cells provides quantitative insights into the genomic and clonal evolution of cancer.
DOI: 10.7910/dvn/qqza5e/0rhhak
title: J2010+0632_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/cfqcdl
title: J2043+0445_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/igrsvh
title: J1953+4424W_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/skfl8k
title: J1935+3746_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/v0dinw
title: J1945+4043_tc.fits

description: :unav
DOI: 10.7910/dvn/qqza5e/wqa4ki
title: J1921+2052_tc.fits

description: :unav
DOI: 10.17632/42t8v8x8kh.1
title: Multi-marker study of the responses of the Unio tumidus from the areas of small and micro hydropower plants at the Dniester River basin, Ukraine

description: The aim of this study was to evaluate the environmental impact of the hydropower plants (HPPs) utilizing the bivalve mollusk Unio tumidus. The upstream and downstream of the dam sites of small HPPs and micro HPPs were examined. The indices of stress and toxicity were determined in the digestive gland, hemocytes (lysosomal integrity) and honads (alkali-labile phosphates, ALP). The mollusks from the reservoirs of small HPPs show the depletion of the cholinesterase, the highest glutathione S-transferase, ALP (by ~5 times) and metallothionein levels, low concentration of glutathione, the highest extralysosomal activity of the cathepsin D (CTD), the loss of the lysosomal integrity and a high copper concentration, indicating pollution from agricultural and municipal wastes. The specimens from the micro HPP area had the highest level of glutathione and lipid peroxidation and a low Cu,Zn-SOD activity and low morphological indexes.
DOI: 10.17632/42t8v8x8kh.2
title: Multi-marker study of the responses of the Unio tumidus from the areas of small and micro hydropower plants at the Dniester River basin, Ukraine

description: The aim of this study was to evaluate the environmental impact of the hydropower plants (HPPs) utilizing the bivalve mollusk Unio tumidus. The upstream and downstream of the dam sites of small HPPs and micro HPPs were examined. The indices of stress and toxicity were determined in the digestive gland, hemocytes (lysosomal integrity) and honads (alkali-labile phosphates, ALP). The mollusks from the reservoirs of small HPPs show the depletion of the cholinesterase, the highest glutathione S-transferase, ALP (by ~5 times) and metallothionein levels, low concentration of glutathione, the highest extralysosomal activity of the cathepsin D (CTD), the loss of the lysosomal integrity and a high copper concentration, indicating pollution from agricultural and municipal wastes. The specimens from the micro HPP area had the highest level of glutathione and lipid peroxidation and a low Cu,Zn-SOD activity and low morphological indexes.