01	DynamicDance	33	Big Bippler	65	Slip Zips	97	Telemetricon
02	Panatrobic	34	Bubbler IX	66	Pons Bass	98	Sciocon Keys
03	Padule Pons	35	Waah Anchors	67	String Keys	99	Spotics
04	PorticosX	36	Polar X	68	Zing Keys	100	Spoincaloinc
05	Hydro Pads	37	WaveBoosters	69	Pelo Tonics	101	Indios Lead
06	Pentel Attax	38	Square Tile	70	Biggup Bass	102	Spak Attak
07	Ponsmatic	39	Scimi Lead	71	Biggly Bass	103	Tonic Sonic
08	Punchalog	40	Punch Zone	72	Indian Perc	104	Pentel Plugs
09	Digimate Bs 1	41	Fast Fuzzer	73	Slice Sliders	105	Quadratic Keys
10	Digimate Bs 2	42	PonsSimplates	74	India Bottle	106	Spotican Lead
11	Paddlaxis	43	SynthSymph	75	Beauty Pads	107	Ice Crashers
12	Paddle Pads	44	Squirky Lead	76	Fatt Smacks	108	Polar Pole
13	70's Tronics	45	7th Bass	77	ScyntarGruve	109	Speed Racer
14	Pad Syn Keys	46	Slicematic	78	ScynpleBrPads	110	Q Matrix
15	Squishies	47	Rush Push	79	Diggler Zip	111	Pentacular R
16	Bling Synths	48	Block Cutter	80	Tech Tokax	112	Cosmixx
17	Rush Waves	49	RoboZonik	81	Diggate Tone	113	Polar Cut
18	Pharc Pad	50	Rubby Bass	82	Stark Indian	114	Thimple Pad
19	Cuttitose	51	MG Plug	83	Talky Lead	115	Squashates
20	Symph Strobe	52	Q Swerve	84	Depth Pads	116	Swigglate XR
21	Quadra Zone	53	Elo Grunge	85	Diggo Bass	117	SmekAttax
22	Indian Y	54	El Squiggo	86	CompuBass	118	TechTonex
23	Syn Podules	55	Chiff Tonal	87	SynElemence	119	Wavicular X
24	PhannaTix	56	Pantrax	88	Pannica X	120	Wegtrons
25	Digitose Keys	57	Cutter Slice	89	Ana Amp Bass	121	Telemetrix
26	Pelio Hydras	58	Portacle Pod	90	Quaver Keys	122	Tonal Cuts
27	Battlax Bass	59	Pungent Bass	91	Quadricosis	123	Porticos X
28	Bright PWN	60	Portico Bass	92	Ponnika Lead	124	Digi Drone
29	Bumper Bass	61	Stabucon XS	93	Hard Herd	125	Teknik
30	Syn Pantels	62	Slippy Zippy	94	Squegmire	126	Scutter IX
31	Digitonnix	63	Squiggly	95	PhaselWahs	127	Brethy Lead
32	Pluggo Bass	64	Ping Poing	96	WaahPaddlers	128	Q Matrix Zed

01	Digital Death	05	Pantax Zone	09	Demon Zone	13	Portal Quigs
02	Dance Drone	06	Indian Zone	10	Spoincates	14	Pelon Trance
03	Q Simplates	07	QX Portals	11	Scion Portal	15	Squiggates
04	Indian Joe	08	Bing Bong	12	Panterics	16	Pan Pontane

01	Tek Tekka	33	BlowSwarth	65	Digix	97	Asiamatron
02	Wavicular Pad	34	Scio Sticker	66	Bass Bump	98	ScionControl
03	Zio Keys	35	Dark Dance	67	Peggiotron 2	99	Metallicon
04	Smatticle X	36	HaloScanBs	68	Swarthates	100	Buy Buzz
05	Orcatix	37	Slice Cut	69	Swash Bass	101	Squarky Bs
06	Phasic Pad	38	PumpDynamic	70	Muddlex	102	Cuttrix 3
07	DigiScansPad	39	X Factors	71	Bell Chiffer	103	Q Panic
08	DynoSynBass	40	SynVoxBells	72	Stakmatic	104	Digicon X
09	Portical Glow	41	Scionix	73	Pekkatron	105	Psychotrope
10	Dynam Keys	42	Poinclates	74	Brush Pads	106	Polar Coax
11	Thick SynPads	43	Cuttrix	75	Quotron Bass	107	Wonders
12	PulserProx	44	Ming Ling	76	Light Panels	108	Plak Attack
13	70sDigitones	45	Asia Pluck	77	Stabutron	109	Polar Tech
14	Big Trobic	46	Slippy Slide	78	Polar Bass	110	Phendrix
15	Portatrobe	47	Japanimater	79	Stakkatron	111	Sparc Lead
16	Reso Slider	48	Wackattack	80	Pons Smack	112	Alien Swerve
17	ReversePsycho	49	Jupiter Pads	81	Sync Tonc	113	Spatticus X
18	Panabrights	50	Beller Pads	82	Portico Control	114	X Swisher
19	Big n Phat	51	Drummo	83	Pan Ponic	115	Centauris
20	Zen Ba 7	52	CuttriX	84	Palletine Bs	116	Trong Tong
21	SynDynate	53	Phazhon Bass	85	Tek Kontrol	117	Pubblexicon
22	BellEscapes	54	PantonicPads	86	Spoincs	118	Spork Attack
23	DynoRvrsBas	55	Chiff Tonal	87	Square Tech	119	Mute Plucker
24	Pantabulate	56	Qtoid Bass	88	Zongoes	120	Zoneatrobe
25	Porticular	57	Whakattack	89	Crystalline	121	Porticulate
26	ScioZips	58	Plax Bass	90	Fat Cuttrix	122	Squiggates
27	Panescence	59	Dark Lord	91	Swerve Waah	123	Q Portix
28	PantaliaPad	60	Poly Q Tron	92	Tek Kontrol 2	124	Spottacle
29	Spinnacles	61	Tonal Cutter	93	Pon Portal	125	Stabmatic
30	Pendlites	62	Pleno Bass	94	Bottlexicon	126	Softest Qs
31	Holy Tablet	63	Peggiotron	95	TelemetreX	127	Swarthates
32	SymphAttax	64	Scintillions	98	Phat Smack	128	Scix

01	Phalanx	05	DigixZone	09	Dance Haven	13	Metallicon
02	Mega-Stabs	06	Scin Advent	10	PhaseRockers	14	Mettrix
03	Quotronix	07	Heliocon	11	80's Plug	15	Hydrotopia
04	Spin Slicer	08	Pad Scimi	12	Panatropic	16	DigitalPlug

Ntsys Pc 2.02 Software Guide

NTSYS-PC 2.02 offers a robust library of coefficients. This is critical in biological research where standard Euclidean distance is often insufficient. The software handles binary data (presence/absence of bands) seamlessly, which is vital for molecular marker analysis.

Originally, NTSYS pc 2.02 software was distributed on 3.5-inch floppy disks. Its requirements are modest:

Input: A correlation or covariance matrix. Command: EIGEN /MATRIX CORR.DAT /VECTORS /EIGENVALUES Output: Eigenvectors for plotting ordination diagrams.

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NTSYS-pc 2.02 was a pioneering and highly capable multivariate statistics package that brought numerical taxonomy to the personal computer. Its rich set of similarity coefficients, clustering algorithms, and ordination techniques made it a standard tool in systematics and ecology for over a decade. However, due to its 16-bit architecture, lack of updates, and limited scalability, it is now a legacy system. Modern researchers should use it only for historical reproducibility or educational context, while adopting current software for new projects.

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Report prepared by: [Assistant]
Date: [Current date]
Version: Final

The NTSYS PC 2.02 Software: A Comprehensive Review

The NTSYS PC 2.02 software is a powerful and versatile tool used for fingerprint identification and analysis. Developed by the National Institute of Standards and Technology (NIST), this software has become a widely accepted standard in the field of forensic science. In this article, we will provide an in-depth review of the NTSYS PC 2.02 software, its features, applications, and benefits.

Introduction to NTSYS PC 2.02 Software

The NTSYS PC 2.02 software is a Windows-based program designed to analyze and compare fingerprints. The software uses advanced algorithms to extract features from fingerprints and perform comparisons between them. The NTSYS PC 2.02 software is an updated version of the original NTSYS (Neural Network System) software, which was first released in the 1980s.

Key Features of NTSYS PC 2.02 Software

The NTSYS PC 2.02 software offers a range of features that make it a valuable tool for fingerprint analysis. Some of the key features include:

Applications of NTSYS PC 2.02 Software

The NTSYS PC 2.02 software has a range of applications in various fields, including:

Benefits of NTSYS PC 2.02 Software

The NTSYS PC 2.02 software offers several benefits, including:

Technical Requirements for NTSYS PC 2.02 Software

The NTSYS PC 2.02 software requires the following technical specifications:

Conclusion

The NTSYS PC 2.02 software is a powerful and versatile tool for fingerprint identification and analysis. With its advanced algorithms and user-friendly interface, the software has become a widely accepted standard in the field of forensic science. The software's applications range from forensic science to security, and its benefits include high accuracy, ease of use, flexibility, and cost-effectiveness. If you are looking for a reliable and effective solution for fingerprint analysis and identification, the NTSYS PC 2.02 software is definitely worth considering.

Frequently Asked Questions

Additional Resources

For more information on the NTSYS PC 2.02 software, you can visit the following resources:

By providing a comprehensive review of the NTSYS PC 2.02 software, we hope to have provided valuable information for those interested in fingerprint identification and analysis. Whether you are a forensic scientist, law enforcement professional, or security expert, the NTSYS PC 2.02 software is a powerful tool that can help you achieve your goals.

NTSYS-pc 2.02 (Numerical Taxonomy System) is a widely used software suite for discovering and visualizing patterns in multivariate data, particularly in biological and ecological research. Core Workflow

The software is typically used to create genetic similarity matrices and dendrograms from raw data, such as molecular markers (SSR, ISSR, RAPD) or morphological traits.

Data Scoring: Raw lab data (e.g., DNA bands) is recorded in a binary matrix, where '1' indicates the presence and '0' indicates the absence of a trait.

Similarity Analysis: The software calculates similarity coefficients (like Jaccard’s or Nei and Li) to determine how closely related different samples are.

Clustering: It uses algorithms like UPGMA (Unweighted Pair Group Method with Arithmetic Mean) or SAHN (Sequential, Agglomerative, Hierarchical, and Nested clustering) to group related data points.

Visualization: The final output is a dendrogram (tree diagram) that visually represents these genetic or phenotypic relationships. Common Use Cases

Genetic Diversity Studies: Assessing variation within germplasm or crop varieties. ntsys pc 2.02 software

Phylogenetic Mapping: Understanding the evolutionary relationships between different species or strains.

Morphological Characterization: Analyzing physical traits to group plants or organisms. Advanced Features

Ordination Methods: Includes Principal Components Analysis (PCA) and Principal Coordinates Analysis (PCOORDA) to identify major factors contributing to variation.

Matrix Manipulation: Tools for comparing different similarity matrices to check for correlation (e.g., Mantel tests). Agricultural Research Communication Centre | ARCC Journals

For assessment of genetic diversity in elite cultivars, genotypes and breeding lines, various approaches are used based on morpho- ARCC Journals

NTSYSpc 2.02 (Numerical Taxonomy System) is a widely used software package developed by F. James Rohlf for finding and displaying structure in multivariate data ResearchGate

. It is primarily applied in biology for numerical taxonomy, morphometrics, and molecular genetic qualitative data analysis ResearchGate Core Functionality

The software operates through several interconnected modules to process biological data ResearchGate Similarity/Dissimilarity Matrices : Computes coefficients such as Jaccard’s Simple Matching (SM) to estimate genetic distance between samples ResearchGate Clustering (SAHN)

: Uses the "Sequential Agglomerative Hierarchical Nested" module to perform

(unweighted pair group method with arithmetic means) clustering Indian Academy of Sciences Ordination (PCA/PCO)

: Performs Principal Coordinates Analysis (PCO) and Principal Components Analysis (PCA) to visualize high-dimensional data in 2D or 3D scatter diagrams ResearchGate Graphics & Visualization : Includes tools like for generating dendrograms and for scatter diagrams ResearchGate Workflow for Genetic Diversity Analysis Based on user guides from ResearchGate , the typical workflow includes:

20 questions with answers in NTSYS | Science topic - ResearchGate

NTSYS-pc 2.02 is a specialized software package designed for multivariate data analysis, specifically focusing on phenetic and phylogenetic relationships. Developed by F. James Rohlf, it has been a staple in biological sciences for decades, helping researchers understand structural patterns within complex datasets. Overview of NTSYS-pc 2.02

The name stands for "Numerical Taxonomy System," reflecting its core purpose: providing a mathematical framework for classifying organisms or objects based on measurable traits. While modern genomics has shifted many researchers toward sequence-specific tools, NTSYS-pc remains highly relevant for analyzing morphological data, ecological surveys, and molecular markers like AFLP, RAPD, and SSR. Core Functionality and Workflow

The software operates through a series of modules that allow for a structured, step-by-step analysis. This modular approach ensures that users can customize their workflow based on their specific research goals.

Data Entry: Supports various input formats, primarily focusing on rectangular matrices (rows and columns).

Similarity and Dissimilarity: Calculates coefficients (such as Jaccard, Dice, or Euclidean distance) to determine how closely related two entities are.

Clustering: Performs UPGMA, Neighbor-Joining, and various hierarchical clustering methods to produce phenograms or dendrograms.

Ordination: Executes Principal Component Analysis (PCA), Principal Coordinates Analysis (PCO), and Non-metric Multidimensional Scaling (NMDS) to visualize data in 2D or 3D space.

Graphics: Generates high-quality plots, including tree diagrams and scatter plots, for publication. Why Version 2.02?

Version 2.02 is widely regarded as one of the most stable and compatible iterations of the software. Many laboratories continue to use this specific version because it balances advanced features with a lightweight interface that runs efficiently on Windows environments. It is particularly valued for its "Matrix Comparison" feature (Mantel Test), which is essential for testing the correlation between two independent distance matrices. Key Applications

Biodiversity Studies: Estimating genetic diversity within and between populations using molecular markers.

Taxonomy: Classifying new species based on morphological measurements.

Agriculture: Mapping trait distributions in crop varieties to assist in breeding programs.

Ecology: Analyzing community structures and how species distribution correlates with environmental factors. Pros and Cons Pros: Extremely robust for hierarchical clustering. Includes a wide variety of similarity coefficients. Small footprint; doesn't require heavy computing power.

Clear, logical progression from raw data to final visualization. Cons:

The user interface (UI) feels dated compared to modern software.

Steep learning curve for those unfamiliar with numerical taxonomy.

Limited support for direct DNA sequence alignment compared to tools like MEGA or BEAST. Conclusion NTSYS-PC 2

NTSYS-pc 2.02 remains a powerhouse for researchers who need reliable, mathematically sound multivariate analysis. Whether you are building a dendrogram to show genetic relationships or using PCA to find patterns in ecological data, this software provides the precision required for high-level scientific inquiry. To help you get the most out of your analysis,

Which similarity coefficient (Jaccard vs. Dice) is best for your specific data type? How to perform a Mantel Test to compare two matrices?

NTSYS-pc (Numerical Taxonomy System for personal computer) version 2.02 is a highly specialized statistical software suite primarily used in biological research to discover patterns and structures in multivariate data . Developed by Applied Biostatistics Inc. and spearheaded by F. James Rohlf

, this software has become a standard tool for scientists studying biodiversity, genetics, and morphometrics. Core Purpose and Origins

The software was originally designed to support the field of numerical taxonomy

, which involves classifying organisms based on overall similarity rather than just evolutionary lineage. By using mathematical algorithms, researchers can group biological entities (referred to as "Operational Taxonomic Units" or OTUs) into hierarchical structures that reflect their physical or genetic relationships. Key Features of Version 2.02

NTSYS-pc 2.02 is valued for its ability to handle large datasets and its specific modules for various statistical tasks: Cluster Analysis : Using algorithms like

(Unweighted Pair Group Method with Arithmetic Mean) and Neighbor-Joining, it generates dendrograms (tree-like diagrams) to visualize genetic similarities. Ordination Analysis : It provides tools like Principal Components Analysis (PCA) Principal Coordinates Analysis (PCoA)

to map relationships among samples in a multi-dimensional space. Geometric Morphometrics

: Version 2.02 includes specialized methods for analyzing the variation in shapes of physical objects, which is critical in zoology and botany. Data Integration

: It often works in tandem with Microsoft Excel for initial data entry (such as binary "0" and "1" scoring for presence/absence of DNA bands) and for file conversion into the proprietary Significance in Modern Science

Though newer software and R-based packages (like those found in

) are available, NTSYS-pc 2.02 remains popular due to its user-friendly interface for researchers who may not be proficient in coding. It is frequently cited in studies involving: Genetic Diversity

: Estimating relationships between breeds of animals or varieties of plants using molecular markers. Molecular Biodata Analysis

: Screening large populations to select unique individuals for expensive further testing like DNA sequencing.

: Identifying structure within complex environmental datasets.

Agronomic, Physiological, Genetic and Phytochemical ... - MDPI 17 Mar 2023 —

Understanding NTSYSpc 2.02: The Gold Standard for Numerical Taxonomy and Multivariate Analysis

In the world of biological sciences, particularly in genetics, ecology, and phylogenetics, the ability to organize vast amounts of data into meaningful patterns is crucial. For decades, NTSYSpc (Numerical Taxonomy System for Personal Computers), specifically version 2.02, has been one of the most widely cited software packages for performing multivariate statistical analyses.

Whether you are a graduate student working on molecular markers or a seasoned researcher analyzing morphological variations, NTSYSpc 2.02 provides a robust suite of tools to help you visualize relationships between organisms or samples. What is NTSYSpc 2.02?

Developed by F. James Rohlf, NTSYSpc is a system of programs used to find and display patterns in multivariate data. The "pc" indicates it was designed for the Windows environment, and version 2.02 is often favored for its stability and comprehensive feature set.

The software is primarily used for Numerical Taxonomy, which is the practice of grouping individuals into taxa based on overall similarity. Unlike purely evolutionary approaches, numerical taxonomy uses mathematical algorithms to calculate coefficients of similarity or distance. Key Functions and Features

NTSYSpc 2.02 is organized into several modules that follow a logical workflow: from raw data to a finished visual representation like a dendrogram. 1. Data Input and Transformation

The software accepts data in a variety of formats, usually starting with a rectangular data matrix (objects x variables). It can handle:

Qualitative data (presence/absence, like AFLP or RAPD markers).

Quantitative data (measurements like height, weight, or leaf length).

Data Standardization: It can transform data to ensure that variables with different scales (e.g., millimeters vs. grams) don't unfairly bias the results. 2. Similarity and Dissimilarity Coefficients

This is the "heart" of the software. NTSYSpc 2.02 can calculate dozens of different coefficients, including:

Jaccard’s Coefficient: Popular for DNA marker analysis because it ignores "double negatives." specifically within taxonomy and ecology

Dice Coefficient: Similar to Jaccard but gives more weight to matches.

Euclidean Distance: Standard for continuous, physical measurements. 3. Clustering Methods (SAHN)

The SAHN (Sequential, Agglomerative, Hierarchical, and Nested) module is the most frequently used. It includes:

UPGMA (Unweighted Pair Group Method with Arithmetic Mean): The most common method for creating phenograms. Neighbor-Joining: Often used for phylogenetic studies.

Single/Complete Linkage: For different types of cluster sensitivity. 4. Ordination Techniques

Sometimes a tree isn't the best way to show data. NTSYSpc allows for Ordination, which plots samples in a multi-dimensional space:

PCA (Principal Component Analysis): Reduces high-dimensional data into 2D or 3D plots.

PCO (Principal Coordinates Analysis): Ideal for distance matrices. Why Version 2.02?

While newer versions and open-source R packages exist, NTSYSpc 2.02 remains a staple in academic literature for several reasons:

Ease of Use: It features a "point-and-click" interface that is much more accessible to biologists than coding in R or Python.

Repeatability: Because it has been used in thousands of peer-reviewed papers, using version 2.02 allows researchers to easily compare their results with historical data.

Graphics: The software includes TREE plot and MOD3D modules that generate publication-ready visuals of clusters and three-dimensional scatter plots. Common Applications

Genetic Diversity Studies: Analyzing SSR, ISSR, or SNP data to see how closely related different crop varieties or wild populations are.

Systematics: Deciding if a group of specimens belongs to a single species or multiple sub-species based on physical traits.

Ecology: Comparing different sampling sites based on the abundance of various species found there. Conclusion

NTSYSpc 2.02 is more than just a statistical tool; for many researchers, it is the bridge between raw biological observations and scientific discovery. Its ability to take complex, multi-layered data and condense it into a clear, visual story makes it an enduring favorite in the scientific community.

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Bridging Biology and Mathematics: An Overview of NTSYS pc 2.02

In the realm of biological sciences, specifically within taxonomy and ecology, the interpretation of complex data sets requires robust statistical tools. For decades, NTSYS pc (Numerical Taxonomy System) has served as a standard software application for multivariate analysis. Specifically, version 2.02 represents a classic iteration of this software, providing researchers with the necessary computational power to transform raw biological data into meaningful classification systems. By facilitating the analysis of similarity and dissimilarity among organisms, NTSYS pc 2.02 bridges the gap between raw mathematical data and biological understanding.

At its core, NTSYS pc is designed to perform numerical taxonomy—a classification system based on quantifiable similarities rather than subjective observation. The name itself stands for "Numerical Taxonomy and Multivariate Analysis System." The software was primarily developed by F. James Rohlf to accompany methodologies often discussed in his seminal textbook, Biometry. The 2.02 version, while older, is historically significant as it established a stable, Windows-compatible interface that replaced older DOS-based command-line inputs, making complex statistics more accessible to biologists who were not necessarily expert programmers.

The functionality of NTSYS pc 2.02 is centered around multivariate statistical methods. Its most prominent feature is the ability to perform Cluster Analysis. In this process, the software takes a matrix of data—often morphological measurements or genetic markers—and calculates coefficients of similarity or distance (such as Jaccard or Dice coefficients for binary data, or Euclidean distance for continuous data). It then uses clustering algorithms, most notably the Unweighted Pair Group Method with Arithmetic Mean (UPGMA), to generate phenograms or dendrograms. These tree-like diagrams visually represent the taxonomic relationships between species or populations, allowing researchers to visually identify distinct groups or clades.

Beyond clustering, NTSYS pc 2.02 is widely renowned for its implementation of Principal Component Analysis (PCA). In biological datasets with numerous variables (e.g., measuring 50 different traits on a single insect), dimensionality can be overwhelming. PCA reduces these variables into principal components—new, uncorrelated variables that maximize the variance. By plotting these components, researchers can visualize the scatter of individuals in a multi-dimensional space. This is crucial for identifying subtle morphological variations that might not be apparent through simple observation, helping to differentiate cryptic species or understand evolutionary gradients.

Another key strength of the software is its versatility in data handling. It supports various data types, including binary data (presence/absence), qualitative data, and quantitative continuous data. This flexibility has made NTSYS pc 2.02 a staple in agricultural research, microbiology, and botany. For instance, plant breeders frequently use the software to analyze genetic diversity among crop varieties, determining which distinct genotypes are best suited for breeding programs to avoid inbreeding and enhance yield.

Despite the emergence of modern software like R and Python packages which offer open-source alternatives, NTSYS pc 2.02 holds a unique place in the history of biological statistics. Its user interface, characterized by a series of modular windows for different statistical tasks, provided a straightforward workflow that guided the user from data import to final graphical output. While it may lack the customization of modern coding environments, its "black box" reliability—where standard algorithms produce standard, reproducible results—remains valuable for standardized testing and educational purposes.

In conclusion, NTSYS pc 2.02 is more than just outdated software; it is a foundational tool that democratized multivariate analysis for biologists. By simplifying complex procedures like cluster analysis and PCA

Understanding NTSYSpc 2.02: The Go-To Tool for Numerical Taxonomy

If you’ve spent any time in the fields of biology, ecology, or morphometrics, you’ve likely encountered NTSYSpc (Numerical Taxonomy System for personal computers). Developed by F. James Rohlf, this suite of programs is a staple for scientists looking to find and display structure in multivariate data.

Version 2.02 remains a frequently cited version in academic research, particularly for its implementation in molecular biodata analysis. What is NTSYSpc 2.02 Used For?

Originally designed for biology, the software’s flexibility has made it popular across engineering and the humanities. Its primary functions include:

01	LushLandscape	05	Rhetorics	09	Wine Waters	13	Relaxants
02	New Age Padules	06	Water Mix	10	Micro Darks	14	Syn Divers
03	Crystallates	07	Spectral Oasis	11	Micro Nights	15	Layerifics
04	SoftSweeps	08	MicroCosmics	12	Mix Levels	16	PWM Softs

01	Robomatrix	33	Light Wash	65	Holodeck V	97	Space Entry
02	Space Window	34	Fortex Ray	66	Sidewinders	98	Crash Antics
03	Planescape	35	Portal Control	67	Fomation	99	Patients Lab
04	Phantamates	36	Scronnix	68	Metalix Pad	100	Sporx
05	Toinklez	37	Sonic Silence	69	Mysteriment	101	Empty Pulse
06	SpaceControl	38	Space Walk	70	Pluggerz	102	Crazy Cove
07	DarkPatrol	39	Emphasis	71	SpectralBreath	103	Phageonics
08	SpaceAstrals	40	Waterphone	72	Sponnix	104	Beep Blips
09	DigiBots	41	Pelemates	73	Space Uvule	105	X Centralis
10	Comingus	42	Migdalix	74	Swish Swipe	106	Space Phase
11	Deep Breath	43	Vizhun Time	75	Empty Cavern	107	Breather
12	Space Bass	44	Mortal Breath	76	Beam Bombs	108	Breatherz
13	Space Tremor	45	Televocule	77	Hyper Sphere	109	Hole Closing
14	Vibegers	46	Surrovocals	78	Talkiez	110	Telemates
15	Troglodyte	47	Vortex Rays	79	Time Tremble	111	Misenthrope
16	Asian Landerz	48	Portax EQ	80	Swuggers	112	Cyberdrone
17	Terranics	49	Moonbase	81	Cuttrix	113	Spannicles
18	Scan Contain	50	Spacebots	82	Wet Wonder	114	Robo Walker
19	Alien Syntax	51	TemporalPortal	83	Radio In	115	Plazzma
20	Span Ray	52	Synthetics	84	Time Crinkle	116	Trubblez
21	Porticon	53	Time Base	85	Telemeter	117	Rockattax
22	Chimericon	54	Breathless	86	Space Breakup	118	Mortal Coil
23	SpaceGoers	55	Stargate X	87	Space Mixup	119	Vortecs
24	Hollow Teps	56	Fomations	88	Moonbase Z	120	Mysteries
25	Holy Noise	57	Immortal	89	Monoculix	121	Bubble Vex
26	Telemicon	58	Slither Scien	90	Atmospheric	122	Chronix
27	Phaserz	59	Phaseattax	91	Space Monger	123	Sparkx
28	Microbix	60	Turbulents	92	Phase Phantasm	124	Spacetacle
29	Phase Amber	61	Spokaxis	93	Alien Voce	125	Space Entry
30	Cracklerz	62	Talk Miggles	94	Pirate Cove	126	Perim Blam
31	Wonder Dark	63	Immortal Zone	95	Spiderz	127	Dark Rover
32	Local Mists	64	Asia Hose	98	Telemisere	128	Pantixx

01	Robo Mix	05	Mysticals	09	Macrobes	13	Synthetics
02	Holodrome	06	Asia Darkness	10	Somnambule	14	HollowSphere
03	WaterPhone	07	Fome Risers	11	Space Ventax	15	PlugCentrals
04	Scan Zone	08	Terra Formers	12	Temple Wonder	16	MindWarning