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00:01 OK, so I've got the recorder , it's on lips. OK.

00:13 , um, this is what you're do with the chart. The first

00:16 is make that uh water depth chart rather than uh read about this,

00:25 , I'll let you read it, I'll show you what the chart is

00:28 a minute. And the other thing you have to do, which is

00:30 little bit different. You're gonna do , uh you're gonna look at simple

00:37 in depth or by sample number down and I try to make it really

00:41 . Um And uh and then in uh plank to benic ratio, you're

00:49 do a chart and I'll show you example of that and uh, and

00:52 do a uh four M benthic calcareous for m benthic, a glutin ratio

01:00 down hole too. And, and addition to doing uh what I'm gonna

01:06 you, you could also do a . Uh I think you might all

01:11 uh when uh when we had a well plot, there was a,

01:19 there was a channel that had uh the letter designations for the pathy

01:25 , excuse me, not the be pale Hyett zones and uh and they

01:30 kind of color coded but uh you have to color code them, but

01:33 could have like, you know, for marginal marine, a little column

01:38 marginal marine, a column for uh neuritic, middle neuritic, outer

01:43 upper middle and lower bale and then sort of like little channels and you

01:48 plot where you think it best fits it may fit in two of

01:52 It may fit halfway into one and into another things like that. But

01:57 way you could have something that's a that looks like it. And that's

02:00 you could do extra, but you have to do it and that would

02:03 out of item number one. And and then when you do uh items

02:09 two, you can kind of compare you see in terms of diversity and

02:14 benthic, uh the, the calcareous Glutin Benthic Forum uh rat uh ratio

02:21 the simple diversity. So this, way you're gonna be looking at specific

02:27 generic markers and you're gonna be looking assemblage uh structure, especially the

02:37 And then uh briefly describe, and could briefly describe this interpretation, but

02:41 you did one of those columns uh just uh put next to one

02:47 you know, the diversity is very like you would expect in this watered

02:51 zone or something like that. That be helpful too. But uh this

02:55 your look up table chart. I think the uh the bio stratigraphic charts

03:02 here really add anything to it. again, you may have uh,

03:07 that, uh I can see here by gene riders look good. I

03:12 know if you'll even see one of , but uh uh you may not

03:16 the species but you will see some the genre. And if you see

03:20 genre, go ahead and, and plot those on the chart and

03:25 chart that I am talking about is be a blank that looks something like

03:30 . Uh that's in, I think blank is gonna be on the uh

03:35 that at the last part of the lecture? You have a blank

03:41 Yeah, you can plot it out you, or you can make a

03:43 and do it. And what I talking about is sometimes these columns are

03:50 uh squeeze down really close and just like nmmmin kind of like that.

03:57 , and then, then you'll have a few columns in a row like

04:01 . And then you can kinda show you're like here, for example,

04:05 can see you, you've gone from shallow to deep on this one.

04:09 is from a different data set, you should be close to this.

04:14 , uh, and then, and I think this persons discriminating

04:18 um, ah the gluttons and the ones in here and, uh,

04:26 blue and green and the agglutinates are ones out here, I think.

04:32 , uh, but also you might be looking, you can see here

04:36 a big stretch in depth range. lot of times when we do

04:41 uh, this, we'd call an . Uh, but when it's a

04:45 water outlier, I don't like to it an outlier. It was,

04:48 was a outlier on the upper then I might drop it. But

04:54 take a look at like if you a pattern like this, you would

04:57 something in here. I'm not sure this person was doing with this over

05:01 . I'm not sure what that Um But I just wanted to show

05:05 , you'll, you know, if , if you can find 10 genera

05:09 species that fit in this in sample , plot them up like this.

05:17 uh and then in all the other , it just kind of shows you

05:20 it's gonna look like when you do , right? OK. And um

05:26 but then at the end, you make something that looks like compressed channels

05:30 these columns so that you can kind see a real quick like things going

05:34 this shallow, to deep, to deep like that. And uh

05:39 that would be extra, that's how get extra credit. And here uh

05:44 uh this shows you the abundance codes this is gonna be really important.

05:50 This is b the data for the for M for the tin samples.

05:54 uh you can see here and some them there, there are none

06:00 And um here, there's also none . And um, so one of

06:08 things that you can sort out is uh heres A V and what V

06:16 and here is very rare. So one. So when you're doing your

06:22 to come up with, uh your , that would be one specimen rare

06:27 the R would be 22 to So what I would say is use

06:31 middle number. So you see rare three if you see an S it's

06:37 on here. But if you see s for several, um,

06:43 um, if you want, you use 7.5 and for frequent, here's

06:51 to 22 that would be somewhere between or 16. But whatever you

06:57 it'll come out pretty much. The common would be uh 21 to 40

07:02 would be these numbers. I don't we get uh anything like that.

07:06 don't even, let's see, we don't even get, yeah,

07:10 don't even get common in the Ok. And so here don't get

07:19 when you don't see anything. just leave it blank. It could

07:22 a mistake if someone's trying to come with something but uh in the plant

07:29 ratio here, uh there's a lot benthic and there's no plankton forums in

07:37 . Make sure uh if it was other way around, for example,

07:43 there were um a lot of planks no bnhi, it would be 100%

07:50 and these samples are 100% benic. it might be worthwhile to uh to

07:56 that out over here that uh this 100% benthic. And if, if

08:02 was to get 100% benthic, would be deep or shallow? Ok.

08:12 could be either. So you have look at your other markers, you're

08:17 have a lot of ben to do with. So, um this is

08:24 trying to make sure uh you don't any mistakes and you, you kind

08:29 understand it. Why would this, would this be deep? Go

08:39 dude, that's here. I don't . What about the abundance? Oh

08:51 . There's, there's no forums, plank forums, but why would there

08:54 no plank forums? Because it's OK. It would, it could

09:01 deep. Why, uh why would be no Plank forums in the deep

09:11 ? There's a good reason. Uh reason there would probably be none in

09:14 is if that it was deeper than C CD and they would dissolve.

09:21 . If you see this and it like it's shallower water, then it's

09:25 away from open ocean. It's probably marine. That would be a strong

09:31 marine indicator because they don't like They don't even wanna get near,

09:35 don't even wanna get near 30 parts 1000. OK. And so,

09:42 so sometimes samples that look like I can get really strange interpretations,

09:46 there's a reason for it. And is because if, if I had

09:49 lot of uh gluten its in for example, and a lot of

09:53 gluten that's in here and nothing else would be very deep because the agglutinates

09:58 dissolve in the deep butter. All calcareous things would. So that's why

10:04 kind of. So if you just the benthic ratios, you might get

10:08 by this. This would be a that would fool you. But if

10:11 do the calcareous gluten ones that can you whether, oh this, this

10:17 , this is shallow water and this is deep water or vice versa.

10:21 . So having a different tool to the same problem is how we come

10:27 with uh a good ana, analytical logical uh conclusion on terms of a

10:33 of an interpretation. OK. So wanna make sure everybody does that.

10:40 uh this was, I think this done with uh with Excel. And

10:46 you don't have to go overboard like if you don't have time. I

10:48 , you drew this, like I with crayons, it would work.

10:53 And the final report on this is deadline is not really March. The

11:00 is whenever you can get it done to March. And if you start

11:06 on it now, it might get the way of you studying for the

11:09 . I want you to focus on exam. I think, I think

11:13 whole team both online and here if can communicate with each other, uh

11:19 can kind of help yourselves get through , the data crunching part. Uh

11:25 um graphic correlation exercise is really If you understand it, if you

11:31 understand it, it may take a time. Anybody that thinks they understand

11:36 , be sure you listen to other in case you're wrong. But I

11:41 everybody should try to communicate to make that you all are on the same

11:45 before you waste time spotting it wrong then realizing you did it wrong.

11:50 . I think, I think these perfect exercises for teamwork. This would

11:55 really good if, if we had lot of classroom time to sit and

11:59 on it in the classroom, like we had a lab, a separate

12:02 component and then uh and the other that's, that's for the graphic correlation

12:08 . And then for this one, the same thing you've got these counts

12:11 do and you have to look at charts for the look up chart.

12:15 If everybody would split the task of certain samples. Um, if there's

12:23 samples that have absolutely nothing in don't pick those, make sure everybody

12:28 to do one that has things in to be picked out. Ok.

12:37 , uh, and of course, the first is by noon. The

12:41 it's by noon is because at one you have to start taking the next

12:45 the next, uh, professor will in here the next part of

12:47 And I wanna get you done before . But if anybody has issues,

12:52 me know if anybody, uh, like to contact somebody, um,

12:58 can always email them and ask them , if, uh, they'll let

13:02 share your email. I think you everybody's emails already. So,

13:07 try to be kind to each other work together on it and it'll go

13:12 and, and hopefully everybody will get and you'll go into the exam with

13:18 points or so close to 50 uh, in your pocket.

13:27 And, uh, the, the next part of this is gonna

13:33 , uh, less time and it be a little bit more difficult.

13:37 , um, although, uh, , I don't know, maybe everybody's

13:44 a hard time with this class but hope you didn't. It, it's

13:49 lot of stuff that geologists tend to . Most geologists don't like any kind

13:54 thing that has to do with living like biologists. But I had this

13:59 out they, like, they like better than anything. It's my trail

14:04 . Ok. Thank you. Just , not, no, I'm gonna

14:13 , I'll have all the tables on . Um, well, here's all

14:18 tables. Uh, these, these , this is the data set and

14:24 the, ah, look up table there. Everything that you need is

14:27 here. But, ah, the sheets, ah, on the other

14:32 . Ok. So where do we access to this exercise? I didn't

14:38 it posted. Ok. If you , if you go to the,

14:42 the end of, uh, lecture , there's a blank for it.

14:45 think there's a little bit. it looks like I got it.

14:53 . Well, I'll, I'll go and post the blank forms if they're

14:56 there. And if, if they're else, I'll let you know where

14:59 are, I'll check my files and , I'll let you know by,

15:03 , uh, sometime this evening, think just in case you wanted to

15:06 on it this evening. But my is you're gonna want to take a

15:10 and, uh, ok. I'm sorry, and, and where

15:15 the, uh, the data tables ? Uh, this, this is

15:20 data table for this one. but do we have access to this

15:25 deck? I'm, I'm gonna go , I'm gonna go load this online

15:29 the other stuff when I get back my office. Awesome. Ok.

15:33 you. I put this together this because I, because I thought I

15:38 something that was, uh, simpler what I'd already showed you. Sounds

15:44 . Thank you. Sure. And with that, I think,

15:53 , it's not quite five o'clock, I think it won't hurt if we

15:56 a little bit early. Is it up already? Hey, we're,

16:08 getting up to 70 degrees here We were down to 65.

16:16 anyway, I'm gonna stop the recorder

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