cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57907/mirri/yx5p4l
title: MIRRI0079761

description: Organism type: Filamentous Fungi ; Taxon name: Hyaloscypha ; Collection: CBS 126282 ; Country: Finland
DOI: 10.3535/mzw-mq0-rlg
title: Poa alpina L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/s4w-zn4-l6w
title: Heliotropium ophioglossum Stocks ex Aitch.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.57907/mirri/2lt6sw/uf1t1c
title: MIRRI0080327.json

description: Strain json file
DOI: 10.57907/mirri/2x7l0p
title: MIRRI0079730

description: Organism type: Filamentous Fungi ; Taxon name: Cladosporium myrtacearum ; Collection: CBS 126350 ; Country: Australia
DOI: 10.57907/mirri/55sdh2
title: MIRRI0080282

description: Organism type: Filamentous Fungi ; Taxon name: Cladobotryum cubitense ; Collection: CBS 127528 ; Country: Madagascar
DOI: 10.57907/mirri/9os9mh/eqqkyt
title: MIRRI0080577.json

description: Strain json file
DOI: 10.57907/mirri/eux4lk/j84u0c
title: MIRRI0080245.json

description: Strain json file
DOI: 10.57907/mirri/eyi1yv
title: MIRRI0079724

description: Organism type: Filamentous Fungi ; Taxon name: Cladosporium delicatulum ; Collection: CBS 126344 ; Country: Germany
DOI: 10.57907/mirri/fqvodp/niegkf
title: MIRRI0080576.json

description: Strain json file
DOI: 10.57907/mirri/hdcczy
title: MIRRI0080322

description: Organism type: Filamentous Fungi ; Taxon name: Quambalaria cyanescens ; Collection: CBS 127351 ; Country: Russia
DOI: 10.57907/mirri/hpynid/habdov
title: MIRRI0079746.json

description: Strain json file
DOI: 10.57907/mirri/mk0lte/sflu3o
title: MIRRI0079810.json

description: Strain json file
DOI: 10.57907/mirri/mngze5
title: MIRRI0080237

description: Organism type: Filamentous Fungi ; Taxon name: Calonectria crousiana ; Collection: CBS 127203 ; Country: China
DOI: 10.57907/mirri/pkzp0t/jt0omz
title: MIRRI0080281.json

description: Strain json file
DOI: 10.57907/mirri/pnxsg3/3lqnhl
title: MIRRI0080316.json

description: Strain json file
DOI: 10.57907/mirri/qxgouv
title: MIRRI0080340

description: Organism type: Filamentous Fungi ; Taxon name: Thyronectria berolinensis ; Collection: CBS 127382 ; Country: Austria
DOI: 10.57907/mirri/tkpufs/8zbxaj
title: MIRRI0080394.json

description: Strain json file
DOI: 10.57907/mirri/uy0ytp/ajtpd1
title: MIRRI0080258.json

description: Strain json file
DOI: 10.57907/mirri/z32jse/nzptbw
title: MIRRI0079789.json

description: Strain json file
DOI: 10.57907/mirri/zjddzn/mve1gq
title: MIRRI0080253.json

description: Strain json file
DOI: 10.3535/cag-7ft-1sf
title: Scirpus sylvaticus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.57907/mirri/57ank5
title: MIRRI0080230

description: Organism type: Filamentous Fungi ; Taxon name: Calonectria pseudocolhounii ; Collection: CBS 127196 ; Country: China
DOI: 10.57907/mirri/5u6r30
title: MIRRI0080244

description: Organism type: Filamentous Fungi ; Taxon name: Celoporthe syzygii ; Collection: CBS 127218 ; Country: China
DOI: 10.57907/mirri/75e1b0
title: MIRRI0080583

description: Organism type: Filamentous Fungi ; Taxon name: Ceratosporella novae-zelandiae ; Collection: CBS 128007 ; Country: Spain
DOI: 10.57907/mirri/8u4sl5
title: MIRRI0080585

description: Organism type: Filamentous Fungi ; Taxon name: Mortierella camargensis ; Collection: CBS 128005 ; Country: Netherlands
DOI: 10.57907/mirri/akotbl/mud9qy
title: MIRRI0080301.json

description: Strain json file
DOI: 10.57907/mirri/cmjq7f/aocm2d
title: MIRRI0080396.json

description: Strain json file
DOI: 10.57907/mirri/cz3g8o
title: MIRRI0080324

description: Organism type: Filamentous Fungi ; Taxon name: Quambalaria cyanescens ; Collection: CBS 127353 ; Country: Russia
DOI: 10.57907/mirri/fg7j3d/vlmovw
title: MIRRI0080293.json

description: Strain json file
DOI: 10.57907/mirri/haywjs
title: MIRRI0080307

description: Organism type: Filamentous Fungi ; Taxon name: Diaporthe longicolla ; Collection: CBS 127267 ; Country: Croatia
DOI: 10.57907/mirri/igf3et
title: MIRRI0080338

description: Organism type: Filamentous Fungi ; Taxon name: Cladosporium halotolerans ; Collection: CBS 127371 ; Country: Cuba
DOI: 10.57907/mirri/khfu7y
title: MIRRI0080559

description: Organism type: Filamentous Fungi ; Taxon name: Pseudallescheria boydii ; Collection: CBS 127829 ; Country: China
DOI: 10.57907/mirri/kxmgws
title: MIRRI0080269

description: Organism type: Yeast ; Taxon name: Debaryomyces psychrosporus ; Collection: CBS 11845 ; Country: Venezuela
DOI: 10.57907/mirri/nqm787
title: MIRRI0080291

description: Organism type: Filamentous Fungi ; Taxon name: Tubakia seoraksanensis ; Collection: CBS 127492 ; Country: South Korea
DOI: 10.57907/mirri/o1wbqu/iyqxa8
title: MIRRI0080437.json

description: Strain json file
DOI: 10.57907/mirri/pnxsg3
title: MIRRI0080316

description: Organism type: Filamentous Fungi ; Taxon name: Humicola degenerans ; Collection: CBS 127324 ; Country: United States of America
DOI: 10.57907/mirri/s7kxzh
title: MIRRI0080310

description: Organism type: Filamentous Fungi ; Taxon name: Diaporthe novem ; Collection: CBS 127270 ; Country: Croatia
DOI: 10.57907/mirri/svdozx
title: MIRRI0080318

description: Organism type: Filamentous Fungi ; Taxon name: Albifimbria viridis ; Collection: CBS 127346 ; Country: United States of America
DOI: 10.57907/mirri/tscj7s
title: MIRRI0080246

description: Organism type: Filamentous Fungi ; Taxon name: Bipolaris incurvata ; Collection: CBS 127221
DOI: 10.57907/mirri/u8hyan
title: MIRRI0080323

description: Organism type: Filamentous Fungi ; Taxon name: Quambalaria cyanescens ; Collection: CBS 127352 ; Country: Russia
DOI: 10.57907/mirri/v3bylf/et6w36
title: MIRRI0080557.json

description: Strain json file
DOI: 10.57907/mirri/vxjody/coohhb
title: MIRRI0080570.json

description: Strain json file
DOI: 10.57907/mirri/wqgsra/k7rezf
title: MIRRI0080305.json

description: Strain json file
DOI: 10.57907/mirri/x3jbyv/lhu5nq
title: MIRRI0080554.json

description: Strain json file
DOI: 10.57907/mirri/yockno/1vlndn
title: MIRRI0080336.json

description: Strain json file
DOI: 10.57907/mirri/z9d3hv/xlqoyl
title: MIRRI0080254.json

description: Strain json file
DOI: 10.57907/mirri/zk0dq5
title: MIRRI0080573

description: Organism type: Filamentous Fungi ; Taxon name: Bionectria ralfsii ; Collection: CBS 127880 ; Country: Portugal
DOI: 10.57907/mirri/zxsu4c
title: MIRRI0080376

description: Organism type: Filamentous Fungi ; Taxon name: Phyllosticta citricarpa ; Collection: CBS 127455 ; Country: Australia
DOI: 10.3535/e2a-ar3-4da
title: Carthamus persicus Desf. ex Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/w0t-yjc-x1m
title: Agrostis alpina Scop.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.57907/mirri/95p0rj
title: MIRRI0080248

description: Organism type: Filamentous Fungi ; Taxon name: Curvularia arcana ; Collection: CBS 127224
DOI: 10.57907/mirri/arggvr/xut0zi
title: MIRRI0080610.json

description: Strain json file
DOI: 10.57907/mirri/d2h1dq
title: MIRRI0080532

description: Organism type: Filamentous Fungi ; Taxon name: Curvularia tropicalis ; Collection: CBS 127718 ; Country: India
DOI: 10.57907/mirri/deplbi
title: MIRRI0080612

description: Organism type: Filamentous Fungi ; Taxon name: Drechslera fugax ; Collection: CBS 127935
DOI: 10.57907/mirri/h11blx
title: MIRRI0080596

description: Organism type: Filamentous Fungi ; Taxon name: Drechslera biseptata ; Collection: CBS 127911
DOI: 10.57907/mirri/h11blx/wtuwyy
title: MIRRI0080596.json

description: Strain json file
DOI: 10.57907/mirri/jaxg8r/egqga1
title: MIRRI0080575.json

description: Strain json file
DOI: 10.57907/mirri/kf7c4r/rd3tle
title: MIRRI0080581.json

description: Strain json file
DOI: 10.57907/mirri/l8qoaa
title: MIRRI0080609

description: Organism type: Filamentous Fungi ; Taxon name: Pyrenophora graminea ; Collection: CBS 127932
DOI: 10.57907/mirri/luwzsq
title: MIRRI0080578

description: Organism type: Filamentous Fungi ; Taxon name: Phytophthora gregata ; Collection: CBS 127952 ; Country: Australia
DOI: 10.57907/mirri/mhkixd/chcjcs
title: MIRRI0080531.json

description: Strain json file
DOI: 10.57907/mirri/pkbaji
title: MIRRI0080590

description: Organism type: Filamentous Fungi ; Taxon name: Lagenidium ; Collection: CBS 127277 ; Country: Taiwan
DOI: 10.57907/mirri/pkbaji/aqgeme
title: MIRRI0080590.json

description: Strain json file
DOI: 10.57907/mirri/rfl2w7/o378c7
title: MIRRI0080625.json

description: Strain json file
DOI: 10.57907/mirri/rofjba/io3z5w
title: MIRRI0080627.json

description: Strain json file
DOI: 10.57907/mirri/rvswcy
title: MIRRI0080633

description: Organism type: Yeast ; Taxon name: Cryptococcus neoformans ; Collection: CBS 11973 ; Country: Croatia
DOI: 10.57907/mirri/t1wxnr
title: MIRRI0080640

description: Organism type: Yeast ; Taxon name: Cryptococcus neoformans ; Collection: CBS 11980 ; Country: Croatia
DOI: 10.57907/mirri/tef83h
title: MIRRI0080538

description: Organism type: Filamentous Fungi ; Taxon name: Bipolaris sorokiniana ; Collection: CBS 127724
DOI: 10.57907/mirri/tef83h/ublxyn
title: MIRRI0080538.json

description: Strain json file
DOI: 10.57907/mirri/tt1azi
title: MIRRI0079776

description: Organism type: Filamentous Fungi ; Taxon name: Hyaloscypha aureliella ; Collection: CBS 126297 ; Country: Finland
DOI: 10.57907/mirri/vcyjna/cgeek9
title: MIRRI0080700.json

description: Strain json file
DOI: 10.57907/mirri/zk0dq5/7y78ow
title: MIRRI0080573.json

description: Strain json file
DOI: 10.3535/2w0-hxd-bj9
title: Anthemis edumea Eig

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/76x-mgg-qsf
title: Eleocharis palustris (L.) Roem. & Schult.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.57907/mirri/362rla
title: MIRRI0080240

description: Organism type: Filamentous Fungi ; Taxon name: Ophiostoma tasmaniense ; Collection: CBS 127213 ; Country: Australia
DOI: 10.57907/mirri/382ljt
title: MIRRI0080582

description: Organism type: Filamentous Fungi ; Taxon name: Virgaria nigra ; Collection: CBS 128006 ; Country: Spain
DOI: 10.57907/mirri/382ljt/d7rmet
title: MIRRI0080582.json

description: Strain json file
DOI: 10.57907/mirri/49lkjt
title: MIRRI0080256

description: Organism type: Filamentous Fungi ; Taxon name: Drechslera multiformis ; Collection: CBS 127239
DOI: 10.57907/mirri/c4qtsu/dztidc
title: MIRRI0080588.json

description: Strain json file
DOI: 10.57907/mirri/cmjq7f
title: MIRRI0080396

description: Organism type: Filamentous Fungi ; Taxon name: Ceratocystis platani ; Collection: CBS 127660 ; Country: Greece
DOI: 10.57907/mirri/cyorjx/gyjjoj
title: MIRRI0080614.json

description: Strain json file
DOI: 10.57907/mirri/e3whu1/zq0n57
title: MIRRI0079779.json

description: Strain json file
DOI: 10.57907/mirri/fmmlzi/kj6wut
title: MIRRI0080387.json

description: Strain json file
DOI: 10.57907/mirri/kc4qnh/cmwdsf
title: MIRRI0079791.json

description: Strain json file
DOI: 10.57907/mirri/kmxhio
title: MIRRI0080360

description: Organism type: Filamentous Fungi ; Taxon name: Colletotrichum godetiae ; Collection: CBS 127561 ; Country: Chile
DOI: 10.57907/mirri/mmz9vx
title: MIRRI0080259

description: Organism type: Filamentous Fungi ; Taxon name: Bipolaris oryzae ; Collection: CBS 127242
DOI: 10.57907/mirri/nrsg4o
title: MIRRI0079757

description: Organism type: Filamentous Fungi ; Taxon name: Epibryon bryophilum ; Collection: CBS 126278 ; Country: Finland
DOI: 10.57907/mirri/obwsau/kiigdw
title: MIRRI0080247.json

description: Strain json file
DOI: 10.57907/mirri/prjsos
title: MIRRI0080267

description: Organism type: Yeast ; Taxon name: Wickerhamomyces ochangensis ; Collection: CBS 11843
DOI: 10.57907/mirri/rpl56y
title: MIRRI0080359

description: Organism type: Filamentous Fungi ; Taxon name: Colletotrichum musicola ; Collection: CBS 127557 ; Country: Mexico
DOI: 10.57907/mirri/rszj9w
title: MIRRI0080635

description: Organism type: Yeast ; Taxon name: Cryptococcus neoformans ; Collection: CBS 11975 ; Country: Croatia
DOI: 10.57907/mirri/rszj9w/7hphyh
title: MIRRI0080635.json

description: Strain json file
DOI: 10.57907/mirri/thvt2x/lwpkuc
title: MIRRI0080280.json

description: Strain json file
DOI: 10.57907/mirri/tonrei
title: MIRRI0080632

description: Organism type: Yeast ; Taxon name: Cryptococcus neoformans ; Collection: CBS 11972 ; Country: Croatia
DOI: 10.6084/m9.figshare.11968905.v1
title: Responsible Dog Ownership Workshop Evaluation Data

description: Randomised controlled trial data collected as part of an impact assessment for Responsible Dog Ownership workshops aiming to increase children's attitudes towards responsible ownership.<br>Data coded as 0/1: 0= No, 1= Yes
DOI: 10.6084/m9.figshare.6020153.v2
title: Using imaging spectroscopy to detect variation in terrestrial ecosystem productivity across a water-stressed landscape

description: Supporting documentation for Using imaging spectroscopy to detect variation in terrestrial ecosystem productivity across a water-stressed landscape.<br>This fileset contains the R code for creating NDSI values for AVIRIS imagery, R code for running the PLSR model, and output for the PLSR GPP model. <br>The PLSR model used NDSI values from AVIRIS imagery and eddy covariance estimated GPP, and averaged 1000 simulations to predict GPP. This dataset includes the flux tower metadata for each site at each overflight, and includes the output from the 1000 simulations and summary statistics.
DOI: 10.6084/m9.figshare.28389005.v1
title: Diaozotroph MAGs recovered from global marine ecosystems

description: For each environment, clean reads were co-assembled using MEGAHIT v1.2.9 (parameters: --k-min 27 --k-max 147 --k-step 12) and then mapped to their assembly using Bowtie2 v2.4.4 (default parameters) to obtain the contigs coverage. The assembled metagenomic sequences were binned using MetaBAT2 v2.12.1 and CONCOCT v1.1.0 with 1.5 kb as contig length cut-offs. The two bin sets for each assembly were refined using the metaWRAP Bin_refinement module (parameters: -c 50). The identification of diazotroph MAGs was performed using the Diaiden pipeline (https://github.com/jchenek/Diaiden).
DOI: 10.6084/m9.figshare.11879760.v1
title: NS-BNF and crop residue

description: Raw data of a paper entitled "Agriculture by non-symbiotic biological nitrogen fixation requires not much crop residue application".
DOI: 10.6084/m9.figshare.15147642.v1
title: The genetic structure of the Turkish population reveals high levels of variation and admixture

description: Turkish Variome contains allele frequencies of 46,739,479 variants of 3,362 unrelated Turkish individuals.<br>Turkish reference panel for imputation contains phased haplotypes of 773 whole-genome sequenced unrelated Turkish individuals.
DOI: 10.6084/m9.figshare.9784883.v1
title: Supplementary Material for: Outcomes after Application of Active Bone Conducting Implants

description: <b><i>Background:</i></b> A bone conducting implant is a treatment option for individuals with conductive or mixed hearing loss (CHL, MHL) who do not tolerate regular hearing aids, and for individuals with single-sided deafness (SSD). An active bone conducting implant (ABCI) was introduced in 2012 with indication in CHL, MHL, and SSD, and it is still the only ABCI available. With complete implantation of the active transducer and consequent intact skin, a decrease in infections, skin overgrowth, and implant losses, all common disadvantages with earlier passive bone conducting implants, could be expected. Our Ear, Nose and Throat Department, a secondary care center for otosurgery that covers a population of approximately 365,000 inhabitants, was approved to implant ABCIs in 2012. <b><i>Objectives:</i></b> Our aim was to conduct an evaluation of audiological and subjective outcomes after ABCIs. <b><i>Method:</i></b> A cohort study with retrospective and prospective data collection was performed.<b><i></i></b>The first 20 consecutive patients operated with an ABCI were asked for informed consent. The main outcome measures were<b><i></i></b>pure tone and speech audiometry and the Glasgow Benefit Inventory (GBI). <b><i>Results:</i></b> Seventeen patients accepted to participate and 15 were able to complete all parts. Six patients had CHL or MHL. In this group the pure tone audiometry tests are comparable with an average functional hearing gain of 29.8 dB HL. With bilateral hearing, the mean Word Recognition Score (WRS) in noise was 35.7% unaided and 62.7% aided. Ten patients had the indication SSD. With the hearing ear blocked, the pure tone average was &gt;101 dB HL, compared to 29.3 dB HL in sound field aided. With bilateral hearing, the mean WRS in noise was 59.7% unaided and 72.8% aided. The mean of the total GBI score was 42.1 in the group with CHL or MHL and 20.6 in the group with SSD. <b><i>Conclusions:</i></b> The patients benefit from their implants in terms of quality of life, and there is a substantial hearing gain from the implant for patients with conductive or MHL. Patients with SSD benefit less from the implant than other diagnoses but the positive outcomes are comparable to other options for this group.
DOI: 10.6084/m9.figshare.3515072.v1
title: Appendix H. Estimated densities (individuals/km²) for primary periods for the European pond turtle at Tour du Valat, France, 1997–2006.

description: Estimated densities (individuals/km²) for primary periods for the European pond turtle at Tour du Valat, France, 1997–2006.
DOI: 10.6084/m9.figshare.19727047.v1
title: Ancient Building Data.rar

description: This dataset includes point clouds from two ancient buildings: the Qingyuan Palace and the Manjusri Hall. The aerial point clouds are reconstructed by optical images collected by Phantom 4 Pro, and the ground point clouds are produced by the LiDAR scanners. The average point density of them is 0.05m. The trial single scans are part of all views of buildings.
DOI: 10.6084/m9.figshare.13949703.v1
title: Data of occurrences of disasters from Climate change affected the spatio-temporal occurrence of disasters in China over the past five centuries

description: Climate change may contribute to the spatio-temporal occurrence of disasters. Long-term studies of either homogeneous or heterogeneous responses of historical disasters to climate change are, however, limited by the quality and quantity of the available proxy data. Here we reconstruct spatio-temporal patterns of five types of disasters in China during the period AD 1368–1911. Our analyses of these time series reveal that warmer temperatures decreased the occurrence of disasters in the monsoon-affected parts of central-east China, but it increased the frequency and intensity of disasters along the boundary of arid and humid conditions in parts of southwest and northeast China, likely driven by the interplay among monsoon, westerlies, polar vortex and variation of temperature. Moreover, we show that drought and flood events had cascading effects on the occurrences of locust outbreaks, famine and human epidemics. Our findings suggest that climate can contribute to the spatio-temporal occurrence of disasters, and therefore may contribute to an improvement of China's regional to national risk management of future climate and environmental change.
DOI: 10.6084/m9.figshare.24715626.v1
title: The 50 slides of dataset and trained models

description: Binary semantic segmentation for detection of prostate adenocarcinoma using an ensemble with attention and residual U-Net architecturesAn accurate determination of the Gleason Score or Gleason Pattern (GP) is crucial in the diagnosis of prostate cancer (PCa) because it is one of the criterion used to guide treatment decisions for prognostic-risk groups. However, the manually designation of GP by a pathologist using a microscope is prone to error and subject to significant inter-observer variability. Deep learning has been used to automatically differentiate GP on digitized slides, aiding pathologists and reducing inter-observer variability, especially in the early GP of cancer. This paper presents a binary semantic segmentation for the GP of prostate adenocarcinoma. The segmentation separates benign and malignant tissues, with the malignant class consisting of adenocarcinoma GP3 and GP4 tissues annotated from 50 unique digitized whole slide images (WSIs) of prostate needle core biopsy specimens stained with hematoxylin and eosin. The pyramidal digitized WSIs were extracted into image patches with a size of 256 x 256 pixels at a magnification of 20X. An ensemble approach is proposed combining U-Net-based architectures, including traditional U-Net, attention-based U-Net, and residual attention-based U-Net. This work initially considers a PCa tissue analysis using a combination of attention gate units with residual convolution units. The performance evaluation revealed a mean Intersection-over-Union of 0.79 for the two classes, 0.88 for the benign class, and 0.70 for the malignant class. The proposed method was then used to produce pixel-level segmentation maps of PCa adenocarcinoma tissue slides in the testing set. We developed a screening tool to discriminate between benign and malignant prostate tissue in digitized images of needle biopsy samples using an AI approach. We aimed to identify malignant adenocarcinoma tissues from our own collected, annotated, and organized dataset. Our approach returned the performance which was accepted by the pathologists.
DOI: 10.6084/m9.figshare.28652075.v1
title: Behavioral scores.xlsx

description: Behavioral data (Rating scores to videos from questionnaire) to public speakings
DOI: 10.6084/m9.figshare.3522773.v1
title: Supplement 1. The Corrigan and the Nile Creek data sets and the S-PLUS functions for fitting the piecewise-regression models used in the paper.

description: File List<i>All files at once</i> pw_regression.zip <i>Data files</i> corrigan_data.txt - tab-delimited ASCII file of presence/absence data at the Corrigan site. nile_creek_data.txt - tab-delimited ASCII file of presence/absence data at the Nile Creek site. <i>S-PLUS files</i> pwreg_fns.txt - ASCII file of S-PLUS functions for fitting the piecewise regression models fn_calls.txt - ASCII file of example function calls (will recreate most of the results in the paper) DescriptionThe files corrigan_data.txt and nile_creek_data.txt are tab-delimited ASCII files of the data used. Tree species are split into height categories (height &gt;1.3 m, or &lt;1.3 m). In both files, columns 2–13 are from transect #1, columns 14–25 are from transect #2, and columns 26–37 are from transect #3. S-PLUS functions for fitting all piecewise-regression models in the paper (sharp, hyperbolic-tangent, bent-hyperbola, and bent-cable piecewise-regression models) are available in pwreg_fns.txt. The file also contains additional functions for deriving and plotting confidence intervals for an estimate of the breakpoint. Import these functions into a S-PLUS session using the internal S-PLUS function source. The functions are known to work in S-PLUS version 4.5 and 6.1 for Windows. The results for the case study can then be recreated using the commands listed in fn_calls.txt. As written, the function calls assume that the first PCA axis for the Corrigan data has been extracted and called corpapca.df, that the first PCA axis for the Nile Creek data has been extracted and called nilpapca.df, and that a vector of distances from edge has been created and called distance.