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  • *Pseudofossils ( Inorganic objects , markings, or impressions that resemble fossils.)

Found 1,277 results

  1. Extinct Sharks

    Hi everyone. Here i will show two genus of extinct Sharks such as 1.Squalicorax and 2.Cretoxyrhina. If someone is interested,let know Thanks for your time, Darko
  2. Primitive Elephants

    Hi everyone. With these drawings i wanted to represent the extinct species of Prehistoric Elephants which have been found in Serbia. 1.Zygolophodon turicensis 2.Anancus arvernensis 3.Deinotherium giganteum 4.Gomphotherium angustidens The pics are maybe not so dark with shades as they have to be,that's because of my camera. If someone is maybe interested ,let me know. Enjoy Darko
  3. Another place to avoid - Bartow

    Well, don't waste your time with the northern Peace around Bartow. We put in a Heritage Peace River Landing and paddled upstream for two hours - searching for karst features, gravel, or any other sign of fossils. In short, nothing. Not a darn thing. No rapids. Very little exposed limestone. We only found one area of small gravel and it contained nothing big or worth taking home. Just some tiny teeth and some small bone fragments, a few turtle scutes, etc. This area was heavily mined by the phosphate industry in the 1960's and 1970's before environmental regulations were put into place. This entire area looked like a moonscape until the 1980's when reclamation took place. Having said that, the scenery was nice and it was a pleasant paddle. But I wouldn't go there again looking for fossils.
  4. Ameropiltonia Lauradanae

    From the album Trilobites

    Another lovely Ameropiltonia Lauradanae. I recently this past week just traded this one to another fellow forum member @hrguy54. Well worth it! Hope he likes it as much as I did. Trilobite's origins is the Chouteau Formation, Sedalia MO. Around .6 inches in length.
  5. Is this a opalized vertebra?

    Is this opalized wood or possibly bone? Anyone seen this before?
  6. ID if you dare

    Found a lot of bones at a dry site today. These are the three I’m most curious about. Can anyone ID these?
  7. Has anyone tried Shell Creek?

    Just curious if anyone has tried hunting for fossils on Shell Creek in Punta Gorda! Not shell fossils It’s pretty close to me but I’ve heard mixed reviews on it.
  8. Hi everyone! It has been a while since i have been here.Mostly i have a lot of things around the Faculty to do, so i didn't have much time for fossils sadly. I want to ask if anyone is maybe maybe interested in some of my drawings? I would like to hear ya! I started collecting Pleistocene fossils,mostly mammal teeth ,so i'm looking for that. As you know, i am doing all kinds of prehistoric animals and also modern ones. If anyone is interested,let me know via PM Regards, Darko
  9. Hey fellow TFF Members! Back again with another video and I'll get straight to it. I found one of the nicest megs I have found here in Florida! The way this thing was found is just amazing as well. Give it a watch when you get some time
  10. Ive been slowly getting ready for my next fossil hunting trip. Takes me about 3 weeks to get ready. Going to meet my texas buddy Kris and his sons and freinds and also my 3 sons and some other buddy's and dig for fish. Took me some phone calls but found a quarry that wants all the bottom cap of the 18 inch layer removed but even may have a chance at some 18 inch. Most folks do not like the bottom cap stuff cause it takes a heck of alot of time for prep, and some serious equipment too, But the rock is hard and the preservtion of the fish bones can be quite nice to say the least! I got tired of the split fish stuff many years ago even though some of that can be quite nice. I wont be doing much digging but I will be the camp cook. Bringing all the kitchen stuff and all the food for me and 3 sons and one of there buddy's. I make a mean breakfast too! It will be a lot of cooking for 5 of us but it will give me something to do. and of course I will be watching everyone finding lots of fossil fish and when I can and when the time is right I will be causing trouble. "Get out of my spot, thats my fish". "Move over, your in my spot". "Thanks for lifting all that heavy rock, now get out of the way so I can get this fish you just exsposed". "youve got a nice stack of fish there, im going to take my half now. Thanks". "Thanks for saving my spot, now get out, and thanks for revieling a nice fish for me". These guys are gunna be hatin me by the end of the trip. Ha!!
  11. Hello, I was always interested if it is possible to buy land on formation (e.g. Morrison, Hell Creek) and excavate fossils legally. Please answer if you know any land for sale in this area. P.S. Sorry for my bad english, it is not my spoken language
  12. M&M Ranch in Nebraska

    My younger son Mel just led his first fossil trip of the year on our Oligocene M&M Ranch in Nebraska last week. My sons, Mel and Marco Jr., are starting to get back from their prepper some of the fossils that they found on our ranch in 2018. Not all fossils go to the prepper. Mel preps some of the specimens himself. Below is a picture of the specimens Mel found in 2018 that he will prep. Here are a few pictures of 2018 specimens just back from the prepper. Mel found another saber cat in 2018 that is in prep. Below are a saber cat skull found by Mel and saber cat skeleton found by Marco Jr. (the skeleton was still in prep in this picture and I can't find the finished picture right now) in previous years on the ranch. They have found seven or eight so far on the ranch. I'll probably be going out to the ranch a couple of times this year. However, I spend most of my time at the ranch taking matrix that contains micro squamate, bird, amphibian, and mammal specimens. I'm currently working with seven researchers on this micro material. Marco Sr.
  13. Upcoming Trip to Summerville

    Hello friends! I am going on a trip to Summerville to go find some fossils! The problem is that I had no idea where to look. Can anyone please comment or send me some specific locations where you have had luck finding sharks teeth (megalodon specifically)? I would really appreciate it if you all would help me out! Thanks!
  14. Hi there, The kids had a nice few little finds today at Walton On The Naze, Essex (UK). We got there just as the tide was revealing the beach so had some nice fresh cliff fall and stoney sand to sort through. Rest assured that any help advising what their finds may be will be greeted with great enthusiasm and excitement! (They are 5 and 8 - and very excited to post this here!). Thank you, G.
  15. What could these be?

    Hello! I found these two (nearly) identical pieces in an area west of Albuquerque, New Mexico, that would have been the eastern shoreline of the Laramidia continent during the cretaceous. I checked on a geologic map, and the exposed area is all cretaceous sediments. These samples are very hard, despite their seemingly brittle shape, and do not break or disintegrate even when I apply a lot of force to them. They have no other remarkable markings other than their very unusual shape. Do you have any ideas what they could be? Thank you!
  16. One of my favorite fossil types. Dinosaur eggs come in all shapes and sizes — from an oval as small as a thumb, to a sphere as big as a basketball. These fossils are often faked by the hundreds, if not thousands, in Chinese factories (China is also the world's richest source of true dinosaur eggs). However, there are also many natural-occurring objects mistaken as dinosaur eggs such as concretions or even fortuitously-shaped rocks. Despite these hurdles, dinosaur eggs remain one of the most desirable of all fossils. NOTE: Dinosaur egg and eggshells, by their nature as an ichnofossil, are challenging for private collectors to identify. None of the IDs I provide here are acceptable on a scientific level as I lack the tools to examine the cross section slices of my eggshells. However, for the sake of documentation I will still provide accurate names and locality here to the best of my ability. First up are my Oviraptorid eggs "Common" Name: Oviraptor egg Elongatoolithus sp. 71 - 66 mya | late Cretaceous Nanxiong Basin, Guangdong "Common" Name: Citipati egg Macroolithus yaotunensis 71 - 66 mya | late Cretaceous Nanxiong Basin, Guangdong Length: 8.78 inches (Note: Has composited eggshells) "Common" Name: Oviraptorid(small type) Nest Elongatoolithus sp. 71 - 66 mya | late Cretaceous Nanxiong Formation Guangdong
  17. Went fossil hunting near Chuckanut BC Canada. These species are I believe Sassafras, Alder, Sabalites Campbelli And for the fern someone said Cyathea But I feel its Neuropteris Flexuosa
  18. G'day everyone! I have become increasingly interested in finding conodont fossils and have found a locality near where I live that is rich in paleozoic vertebrate micro fossils, including conodont teeth. The locality is apart of the Coopers Creek Limestone formation, early Devonian in age and rich in carbonate. I have checked out this locality before and the rock is very, very hard (It has no layering and takes a few hard hits from a hammer to smash the rocks open). My question is what is the best way to dissolve these rocks and once dissolved what should I do next to find the micro fossils? I have read some where that hard rocks are soaked in kerosene for 24 hours to break them down but I don't really think it would be safe to use kerosoene and also expensive to buy enough kerosene to soak the rocks. Here is a link to a paper on the site: http://paleoitalia.org/media/u/archives/28___Basden_1999_BSPI_37_527-541.pdf Thanks, Dan
  19. INSANE Megalodon Shark Tooth Hunt

    Hey TFF Members! Got another insane video for you here! We had some friends join us for some shark tooth hunting and we struck pure gold! It was great to share the passion with good folks, and hopefully inspire their kids to be future fossil enthusiasts! Give the video a watch when you can. I'll also post a photo of some of the best teeth below!
  20. Importing fossils

    Hello all I recently saw a cool tooth on an American website. It's pretty expensive so I don't want to take too much risks. When I look up how much shipping and import costs to Europe would be it would be as much as half the price of the tooth itself. Is this normal or did I do something wrong? Anyone has any experience with this? The fossil is not illegal or anything, it comes from a perfectly legal location. I just think it's weird to pay like 1,5 times the price for a tooth. Looking forward to your answers and help. Greetings and thanks already.
  21. My family and I will be at Disney World Florida August 1-8, 2019. I would like to take a day trip to go looking for shark teeth and fossils. I have no idea where to go and am looking for someone who knows where to go and wouldn’t mind showing me the ropes. Anyone interested?
  22. Good Websites to ID Fossils.

    I was wondering if theirs any good websites to identify a wide range of things (shark teeth, bones, cephalopod, fish, ray teeth, coral, etc). individual website will be helpful to but preferably one with a lot of fossil ID.
  23. Chesapeake Fossils

    Thanks for advice in previous post. Here are some of the other items we could not identify. Any help is appreciated.
  24. Hello Fellow Forum-Goers, Lately I have been somewhat inactive on the forum, and also have not had the opportunity to go fossil hunting in New Jersey since I am at college. But those things do not deter me though. I am here today to tell you about a project I have been doing with fossil classification, specifically classification of some fossil species from the Cretaceous of New Jersey. The goal is to be able to give my computer of a fossil and have it tell me with a certain degree of confidence the probability that it is any one of several New Jersey Cretaceous fossil species. For this project, I began by taking photos of some of my fossils. Here are some examples of the what the photos looked like: Anomoeodus phaseolus Ischyodus bifurcatus Brachyrhizodus wichitaensis The data consisted of around 150 photos, spanning across 6 fossil species. Not represented in the photos above were: Belemnitella americana Enchodus petrosus Ischyrhiza mira To later label this data, I wrote a csv file with labels. From the contents of this file, you can see how many of each specie there were. Note how the common name for these species are used as the labels. id,species IMG_4749,Belemnite-1 IMG_4780,Belemnite-2 IMG_4812,Ray-1 IMG_4813,Ray-2 IMG_4814,Ray-3 IMG_4815,Ray-4 IMG_4816,Ray-5 IMG_4817,Ray-6 IMG_4818,Ray-7 IMG_4819,Ray-8 IMG_4820,Ray-9 IMG_4821,Ray-10 IMG_4822,Ray-11 IMG_4823,Ray-12 IMG_4824,Ray-13 IMG_4825,Ray-14 IMG_4826,Ray-15 IMG_4827,Ray-16 IMG_4828,Ray-17 IMG_4829,Ray-18 IMG_4830,Ray-19 IMG_4831,Ray-20 IMG_4832,Ray-21 IMG_4833,Ray-22 IMG_4834,Ratfish-1 IMG_4835,Ratfish-2 IMG_4836,Ratfish-3 IMG_4837,Ratfish-4 IMG_4838,Ratfish-5 IMG_4839,Ratfish-6 IMG_4840,Ratfish-7 IMG_4841,Ratfish-8 IMG_4842,Ratfish-9 IMG_4843,Ratfish-10 IMG_4844,Ratfish-11 IMG_4845,Ratfish-12 IMG_4846,Ratfish-13 IMG_4847,Ratfish-14 IMG_4848,Ratfish-15 IMG_4849,Ratfish-16 IMG_4850,Ratfish-17 IMG_4851,Ratfish-18 IMG_4852,Ratfish-19 IMG_4853,Ratfish-20 IMG_4854,Ratfish-21 IMG_4855,Ratfish-22 IMG_4856,Ratfish-23 IMG_4857,Ratfish-24 IMG_4858,Ratfish-25 IMG_4859,Ratfish-26 IMG_4860,Ratfish-27 IMG_4861,Ratfish-28 IMG_4862,Ratfish-29 IMG_4863,Ratfish-30 IMG_4864,Ratfish-31 IMG_4865,Ratfish-32 IMG_4866,Ratfish-33 IMG_4867,Ratfish-34 IMG_4868,Enchodus-1 IMG_4869,Enchodus-2 IMG_4870,Enchodus-3 IMG_4871,Enchodus-4 IMG_4872,Enchodus-5 IMG_4873,Enchodus-6 IMG_4875,Enchodus-7 IMG_4876,Enchodus-8 IMG_4877,Enchodus-9 IMG_4878,Enchodus-10 IMG_4879,Enchodus-11 IMG_4888,Enchodus-12 IMG_4889,Enchodus-13 IMG_4890,Enchodus-14 IMG_4891,Enchodus-15 IMG_4892,Enchodus-16 IMG_4903,Pychodont-1 IMG_4905,Pychodont-2 IMG_4906,Pychodont-3 IMG_4907,Pychodont-4 IMG_4908,Pychodont-5 IMG_4909,Pychodont-6 IMG_4910,Pychodont-7 IMG_4911,Pychodont-8 Now, with the labels and data. I began to make a program that fed in the images and then used Keras ( a machine learning library that has the tools for something called a convolutional neural network) in the programming language Python. Here is the beginning of the code: import numpy <- This gets me NumPy, which allows for easy use of vectors and matrices to work with data import collections <- This allows me to make better data structures called "dictionaries" import os <- This allows me to get the path of the image in my computer import imageio <- This allows me to write edited images to other folders from PIL import Image <- This allows me to manipulate the images, in way such as flipping or rotating. from random import shuffle <- This allows me to randomly shuffle the training data. This code puts each fossil image and its label into something like a container together, this "container" is called a dictionary species_dictionary = collections.OrderedDict() our_file = open("fossil_labels.csv","r") file_contents = our_file.read() file_contents = file_contents.split('\n') for iteration in range(1,len(file_contents)): file_contents[iteration] = file_contents[iteration].split(',') species_dictionary[file_contents[iteration][0]] = file_contents[iteration][1] I will skip the other code and now discuss convolutional neural networks, which are used in image classification So, right now I have all the fossil image with their label. The network can now use these to find clusters of pixels in a given photos that correspond to a particular fossil species. Overtime, the network letters that this or that cluster of pixels is common to one a single fossil species. Then, it can recognize that cluster in a new or novel image that it has not been trained on. Here are the convolutional layers: model = Sequential() model.add(Conv2D(32, kernel_size = (3, 3), activation='relu', input_shape=(IMG_SIZE, IMG_SIZE, 1))) model.add(MaxPooling2D(pool_size=(2,2))) model.add(BatchNormalization()) model.add(Conv2D(64, kernel_size=(3,3), activation='relu')) model.add(MaxPooling2D(pool_size=(2,2))) model.add(BatchNormalization()) model.add(Conv2D(64, kernel_size=(3,3), activation='relu')) model.add(MaxPooling2D(pool_size=(2,2))) model.add(BatchNormalization()) model.add(Conv2D(96, kernel_size=(3,3), activation='relu')) model.add(MaxPooling2D(pool_size=(2,2))) model.add(BatchNormalization()) model.add(Conv2D(32, kernel_size=(3,3), activation='relu')) model.add(MaxPooling2D(pool_size=(2,2))) model.add(BatchNormalization()) model.add(Dropout(0.2)) model.add(Flatten()) model.add(Dense(128, activation='relu')) model.add(Dense(5, activation = 'softmax')) model.compile(loss='binary_crossentropy', optimizer='adam', metrics = ['accuracy']) model.fit(training_images, training_labels, batch_size = 50, epochs = 10, verbose = 1) I do not expect this code to be fully understood.The network uses weights or sensitivities to different pixel clusters. Then as it learns how its predictions for a photo compares to the actual training photo I gave it, it updates the weights to reflect this. By the end this "error loss" should reach towards 0, and when it does, we know that its predictions correspond very close with the actual photo, now allowing it to classify fossil images for these six species well. If it were training on 10 species it would classify all 10 well. Here is the output of the training: # Epoch 1/10 # 164/164 [==============================] - 497s 3s/step - loss: 0.3975 - acc: 0.8329 # Epoch 2/10 # 164/164 [==============================] - 139s 846ms/step - loss: 0.1026 - acc: 0.9610 # Epoch 3/10 # 164/164 [==============================] - 139s 848ms/step - loss: 0.0427 - acc: 0.9902 # Epoch 4/10 # 164/164 [==============================] - 126s 771ms/step - loss: 0.0232 - acc: 0.9939 # Epoch 5/10 # 164/164 [==============================] - 119s 728ms/step - loss: 0.0153 - acc: 0.9963 # Epoch 6/10 # 164/164 [==============================] - 2258s 14s/step - loss: 0.0066 - acc: 0.9976 # Epoch 7/10 # 164/164 [==============================] - 141s 861ms/step - loss: 0.0047 - acc: 1.0000 # Epoch 8/10 # 164/164 [==============================] - 135s 824ms/step - loss: 0.0048 - acc: 1.0000 # Epoch 9/10 # 164/164 [==============================] - 132s 803ms/step - loss: 0.0027 - acc: 1.0000 # Epoch 10/10 # 164/164 [==============================] - 122s 746ms/step - loss: 0.0043 - acc: 1.0000 You can see that the loss keeps going down with more and more training. For the future, I definitely need to take more photos to get more data and allow it to train on a graphical processing unit (GPU) as opposed to the normal CPU that you use on a laptop. The GPU is better at parallel processing and can train the network in seconds (on my computer it took 15 minutes). Well that is the current state of the project. I still need to do more but thank you for staying here till the end. I hope you have a nice day. -Trevor
  25. Hello Everyone, My friends and I are visiting New Orleans this weekend and I was wondering if there are any places nearby that we could find any shark teeth? Thank you you for any help!
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