https://en.wikipedia.org/wiki/George_MacDonald

Jacques Barzun on Reading the “Classics” by [[Arthur Hippler]]

A ‘Science of Reading’ Revolt Takes on the Education Establishment by [[Sarah Mervosh]]

Yurcaba, Jo. “Alabama Library Flagged a Children’s Book Because the Author’s Last Name Is ‘Gay.’” NBC News, October 10, 2023. https://www.nbcnews.com/nbc-out/out-news/alabama-library-flagged-childrens-book-authors-last-name-gay-rcna119747.

https://history.uchicago.edu/directory/Adrian-Johns

https://en.wikipedia.org/wiki/Matthew_effect

The Matthew effect of accumulated advantage, sometimes called the Matthew principle, is the tendency of individuals to accrue social or economic success in proportion to their initial level of popularity, friends, and wealth. It is sometimes summarized by the adage or platitude "the rich get richer and the poor get poorer". The term was coined by sociologists Robert K. Merton and Harriet Zuckerman in 1968 and takes its name from the Parable of the Talents in the biblical Gospel of Matthew.

related somehow to the [[Lindy effect]]?

A critique on the Mass Media... The problem is that they want the Mass Media system to operate on the code of "True/False" rather than "Known/Unknown"... But if it were to be so, it would not be Mass Media anymore, but rather the Science System.

For Mass Media to be Mass Media it needs to be concerned with selection and filtering, to condense and make known, not to present "all the facts". Sure, they need to be concerned with truth to a certain degree, but it's not the primary priority.

This is a reflection based on my knowledge of Luhmann's theory of society as functionally differentiated systems; as explained by Hans-Georg Moeller (Carefree Wandering) on YouTube.

Today while listening to the song I am reminded, through reflection, upon the fact that it takes quite some self-awareness and intellectual humility to prevent the rigorous defense of uneducated opinion, especially in online intellectual communities.

"Real knowledge is to know the extent of one's ignorance." -- Confucius

Something that intellectuals must be aware of. We must be flexible in opinion and not defend that which we actually have no knowledge of.

We can debate for Socratic sakes; to deepen our understanding, but not to persuade... Pitfall is one might come to believe beyond doubts that which one debates for.

Key is to becoming more aware of our debate behavior and stop ourselves when we realize we can't actually prove that which we think.

This is especially critical for someone in position of teacher or great advisor; he who is looken up to. People are easier to take their opinion for granted based on "authority". As an ethical intellectual we must not abuse this, either on purpose or by accident. With great power comes great responsibility.

Interesting thread about Paris Hilton.

Main takeaway: Don't be quick to judge. Only form an opinion based on education; thorough research, evidence-based. If you don't want to invest the effort, then don't form an opinion. Simple as that.

Similar to "Patience" by Nas & Damian Marley.

Also Charlie Munger: "I never allow myself to have [express] an opinion about anything that I don't know the opponent side's argument better than they do."

test c 01

They anticipate suicide or feelings of suicide as a common behavior during adolescence that teens will come across at one point of their life. It can be compared to inevitable urges like sexual desires or peer pressure.

As I mentioned before, this type of practice is contradictory to personal connections that are crucial to sustainable well-being. It is ironic that in these hotline services "callers" are expected to share deep, personal thoughts yet still volunteers still place boundaries as a strategy to address these problems, which doesn't represent a fully safe space.

It is important to understand one to fulfill the other. We need experience a valuable life to learn that death is not something to fear as it is inevitable.

I believe this could be contradictory to feelings of loneliness and need for meaningful relationships. It is different being heard as a friend or family member than a professional.

I agree with this statement because children are not fully developed to understand their emotions. Parents are supposed to guide them and observe their behaviors to rectify them.

Even just talking about suicide is enough concern to prove how much they are mental suffering to seek immediate treatment before their triggers are exacerbated

Welcome back. In this lesson, I want to introduce another core AWS service, the simple storage service known as S3. If you use AWS in production, you need to understand S3. This lesson will give you the very basics because I'll be deep diving into a specific S3 section later in the course, and the product will feature constantly as we go. Pretty much every other AWS service has some kind of interaction with S3. So let's jump in and get started.

S3 is a global storage platform. It's global because it runs from all of the AWS regions and can be accessed from anywhere with an internet connection. It's a public service. It's regional based because your data is stored in a specific AWS region at rest. So when it's not being used, it's stored in a specific region. And it never leaves that region unless you explicitly configure it to. S3 is regionally resilient, meaning the data is replicated across availability zones in that region. S3 can tolerate the failure of an AZ, and it also has some ability to replicate data between regions, but more on that in the S3 section of the course.

Now S3 might initially appear confusing. If you utilize it from the UI, you appear not to have to select a region. Instead, you select the region when you create things inside S3, which I'll talk about soon. S3 is a public service, so it can be accessed from anywhere as long as you have an internet connection. The service itself runs from the AWS public zone. It can cope with unlimited data amounts and it's designed for multi-user usage of that data. So millions of users could be accessing cute cat pictures added by the Animals for Life Rescue Officers. S3 is perfect for hosting large amounts of data. So think movies or audio distribution, large scale photo storage like stock images, large textual data or big data sets. It could be just as easily used for millions or billions of IOT devices or to store images for a blog. It scales from nothing to near unlimited levels.

Now S3 is economical, it's a great value service for storing and allowing access to data. And it can be accessed using a variety of methods. There's the GUI, you can use the command line, the AWS APIs or even standard methods such as HTTP. I want you to think of S3 as the default storage service in AWS. It should be your default starting point unless your requirement isn't delivered by S3. And I'll talk more about the limitations and use cases later in this lesson.

S3 has two main things that it delivers: Objects and Buckets. Objects are the data the S3 stores, your cat picture, the latest episode of Game of Thrones, which you have stored legally, of course, or it could be large scale datasets showing the migration of the koala population in Australia after a major bushfire. Buckets are containers for objects. It's buckets and objects that I want to cover in this lesson as an introduction to the service.

So first, let's talk about objects. An object in S3 is made up of two main components and some associated metadata. First, there is the object key. And for now you can think of the object key, similar to a file name. The key identifies the object in a bucket. So if you know the object key and the bucket, then you can uniquely access the object, assuming that you have permissions. Remember by default, even for public services, there is no access in AWS initially, except for the account root user.

Now, the other main component of an object is its value. And the value is the data or the contents of the object. In this case, a sequence of binary data, which represents a koala in his house. In this course, I want to avoid suggesting that you remember pointless values. Sometimes though, there are things that you do need to commit to memory. And this is one of those times. The value of an object, in essence, how large the object is, can range from zero bytes up to five terabytes in size. So you can have an empty object or you can have one that is a huge five TB. This is one of the reasons why S3 is so scalable and so useful in a wide range of situations because of this range of sizes for objects.

Now, the other components of an object, aren't that important to know at this stage, but just so you hear the terms that I'll use later, objects also have a version ID, metadata, some access control, as well as sub resources. Now don't worry about what they do for now, I'll be covering them all later. For this lesson, just try to commit to memory what an object is, what components it has and the size range for an object.

So now that we've talked about objects, let's move on and look at buckets. Buckets are created in a specific AWS region. And let's use Sydney or ap-southeast-2 as an example. This has two main impacts. Firstly, your data that's inside a bucket has a primary home region. And it never leaves that region, unless you as an architect or one of your system admins configures that data to leave that region. That means that S3 has stable and controlled data sovereignty. By creating a bucket in a region, you can control what laws and rules apply to that data. What it also means is that the blast radius of a failure is that region.

Now this might be a new term. What I mean by blast radius is that if a major failure occurs, say a natural disaster or a large scale data corruption, the effect of that will be contained within the region. Now a bucket is identified by its name, the bucket name in this case, koala data. A bucket name needs to be globally unique. So that's across all regions and all accounts of AWS. If I pick a bucket name, in this case, koala data, nobody else can use it in any AWS account. Now making a point of stressing this as it often comes up in the exam. Most AWS things are often unique in a region or unique in your account. For example, I can have an IAM user called Fred and you can also have an IAM user called Fred. Buckets though are different, with buckets, the name has to be totally unique, and that's across all regions and all AWS accounts. I've seen it come up in the exam a few times. So this is definitely a point to remember.

Now buckets can hold an unlimited number of objects. And because objects can range from zero to five TB in size, that essentially means that a bucket can hold from zero to unlimited bytes of data. It's an infinitely scalable storage system. Now one of the most important things that I want to say in this lesson is that as an object storage system, an S3 bucket has no complex structure. It's flat, it has flat structure. All objects stored within the bucket at the same level. So this isn't like a file system where you can truly have files within folders, within folders. Everything is stored in the bucket at the root level.

But, if you do a listing on an S3 bucket, you will see what you think are folders. Even the UI presents this as folders. But it is important for you to know at this stage that that's not how it actually is. Imagine a bucket where you see three image files, koala one, two and three dot JPEG. The first thing is that inside S3, there's no concept of file type based on the name. These are just three objects where the object key is koala1.JPEG, koala2.JPEG and koala3.JPEG. Now folders in S3 are represented when we have object names that are structured like these. So the objects have a key, a forward slash old forward slash koala one, two and three dot JPEG. When we create object names like this, then S3 presents them in the UI as a folder called old. So because we've got object names that begin with slash old, then S3 presents this as a folder called old. And then inside that folder, we've got koala one, two, and three dot JPEG.

Now nine out of 10 times, this detail doesn't matter, but I want to make sure that you understand how it actually works. Folders are often referred to as prefixes in S3 because they're part of the object names. They prefix the object names. As you move through the various stages of your AWS learnings, this is gonna make more and more sense. And I'm gonna demonstrate this in the next lesson, which is a demo lesson.

Now to summarize buckets are just containers, they're stored in a region, and for S3, they're generally where a lot of permissions and options are set. So remember that buckets are generally the default place where you should go to, to configure the way the S3 works.

Now, I want to cover a few summary items and then step through some patterns and anti-patterns for S3, before we move to the demo. But first an exam powerup. These are things that you should try to remember and they will really help in the exam. First bucket names are globally unique. Remember that one because it will really help in the exam. I've seen a lot of times where AWS have included trick questions, which test your knowledge of this one. If you get any errors, you can't create a bucket a lot of the time it's because somebody else already has that bucket name.

Now bucket names do have some restrictions. They need to be between three and 63 characters, all lower case and no underscores. They have to start with a lowercase letter or a number, and they can't be formatted like IP addresses. So you can't have one.one.one.one as your bucket name. Now there are some limits in terms of buckets. Now limits are often things that you don't need to remember for the exam, but this is one of the things that you do. There is a limit of a hundred buckets that you can have in an AWS account. So this is not per region, it's for the entire account. There's a soft limit of 100 and a hard limit so you can increase all the way up to this hard limit using support requests, and this hard limit is a thousand.

Now this matters for architectural reasons. It's not just an arbitrary number. If you're designing a system which uses S3 and users of that system store data inside S3, you can implement a solution that has one bucket per user if you have anywhere near this number of users. So if you have anywhere from a hundred to a thousand users or more of a system, then you're not gonna be able to have one bucket per user because you'll hit this hard limit. You tend to find this in the exam quite often, it'll ask you how to structure a system, which has potentially thousands of users. What you can do is take a single bucket and divide it up using prefixes, so those folders that aren't really folders, and then in that way, you can have multiple users using one bucket. Remember the 100/1000, it's a 100 soft limit and a 1000 hard limit.

You aren't limited in terms of objects in a bucket, you can have zero to an infinite number of objects in a bucket. And each object can range in size from zero bytes to five TB in size. And then finally, in terms of the object structure, an object consists of a key, which is its name and then the value, which is the data. And there are other elements to an object which I'll discuss later in the course, but for now, just remember the two main components, the key and the value. Now, all of these points are worth noting down, maybe make them into a set of flashcards and you can use them later on during your studies.

S3 is pretty straightforward and that there tend to be a number of things that it's really good at and a fairly small set of things that it's not suitable for. So let's take a look. S3 is an object storage system. It's not a file storage system, and it's not a block storage system, which are the other main types. What this means is that if you have a requirement where you're accessing the whole of these entities, so the whole of an object, so an image, an audio file, and you're doing all of that at once, then it's a candidate for object storage. If you have a Window server which needs to access a network file system, then it's not S3 that needs to be file-based storage. S3 has no file system, it's flat. So you can't browse to an S3 bucket like you would a file share in Windows. Likewise, it's not block storage, which means you can't mount it as a mount point or a volume on the Linux or Windows. When you're dealing with virtual machines or instances, you mount block storage to them. Block storage is basically virtual hard disks. In EC2, you have EBS, which is block storage. Block storage is generally limited to one thing accessing it at a time, one instance in the case of EBS. S3 doesn't have that single user limitation and it's not block storage, but that means you can't mount it as a drive.

S3 is great for large scale data storage or distribution. Many examples I'll show you throughout the course will fit into that category. And it's also good for offloading things. If you have a blog with lots of posts and lots of images or audio or movies, instead of storing that data on an expensive compute instance, you can move it to an S3 bucket and configure your blog software to point your users at S3 directly. You can often shrink your instance by offloading data onto S3. And don't worry, I'll be demoing this later in the course. Finally, S3 should be your default thought for any input to AWS services or output from AWS services. Most services which consume data and or output data can have S3 as an option to take data from or put data to when it's finished. So if you're faced with any exam questions and there's a number of options on where to store data, S3 should be your default. There are plenty of AWS services which can output large quantities of data or ingest large quantities of data. And most of the time, it's S3, which is an ideal storage platform for that service.

Okay time for a quick demo. And in this demo, we're just gonna run through the process of creating a simple S3 bucket, uploading some objects to that bucket, and demonstrating exactly how the folder functionality works inside S3. And I'm also gonna demonstrate a number of elements of how access and permissions work with S3. So go ahead and complete this video, and when you're ready join me in the next, which is gonna be a demo of S3.

I find this interesting and a little tricky to understand how exactly they graph brain activity and if the sleep spindles are always completely accurate.

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I find this very surprising that we spend so much of our time on this earth sleeping and is a fact I never though about before.

Social welfare is linked to one's overall well-being. The system should focus more on spending these programs to avoid detrimental effects. Suicide may "die by their own hand," but to put it into perspective: the U.S. holds the gun while these individuals pull the trigger.

This makes sense as lack of resources and difficulty of living can lead to mental health issues and unhealthy ways of coping.

When you have power, you are greedy to prove you can get more than what you already have. Poverty builds humility and resilience as they tolerate more suffering and manage to survive in other ways without such resources.

The individual in this type of suicide perceives themselves as abnormal part that disrupts flow or functioning of society.

In other words, does this mean that family functioning affects the intensity of people affected? The energy that one or a few individuals possess affect others like a domino effect?

The intrusive symptoms are contradicting to one's mental state and makes it difficult to live a sustainable life. It seems it is difficult to predict events to prepare for appropriate responses.

Can constant discomfort from physiological symptoms trigger mental urges to perform suicide?

This fact is surprising, because it is weird to think that our body naturally gets tired and ready for bed based on the intake of light.

Logos is used here to show the facts of his success with the ability to show us exactly the rate of his success and to inform the audience.

Logos and ethos is clearly used here immediately because as soon as you read this you recognize that there's credibility and its based on the facts whether you like him or not he's created quite the accomplishment.

This chapter seems to deal with genetics, the brain, the nervous system, and the endocrine system. It also seems to be how all of these affect people and how that can be studied through psychology. The most important sections were: Charles Darwin: He is known as the father of evolution, which is important when studying how humans act and make decisions Genetics and Behavior: behavior is the main focus of psychology so this seems central Neurotransmitters and drugs: drugs heavily impair the decisions a person makes Parts of the nervous system: this system is important in how we feel and perceive our environment, which is important for psychology brain imaging: studying the medical aspect of psychology

DOI: 10.1016/j.celrep.2021.108862

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What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_28145

Curator: @AniH

SciCrunch record: RRID:BDSC_28145

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_28144

Curator: @AniH

SciCrunch record: RRID:BDSC_28144

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_28143

Curator: @AniH

SciCrunch record: RRID:BDSC_28143

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_28142

Curator: @AniH

SciCrunch record: RRID:BDSC_28142

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_28141

Curator: @AniH

SciCrunch record: RRID:BDSC_28141

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_28140

Curator: @AniH

SciCrunch record: RRID:BDSC_28140

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_28139

Curator: @AniH

SciCrunch record: RRID:BDSC_28139

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_28138

Curator: @AniH

SciCrunch record: RRID:BDSC_28138

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_55017

Curator: @AniH

SciCrunch record: RRID:BDSC_55017

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_28137

Curator: @AniH

SciCrunch record: RRID:BDSC_28137

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_28136

Curator: @AniH

SciCrunch record: RRID:BDSC_28136

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_28135

Curator: @AniH

SciCrunch record: RRID:BDSC_28135

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_28274

Curator: @AniH

SciCrunch record: RRID:BDSC_28274

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_28134

Curator: @AniH

SciCrunch record: RRID:BDSC_28134

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_28132

Curator: @AniH

SciCrunch record: RRID:BDSC_28132

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_28131

Curator: @AniH

SciCrunch record: RRID:BDSC_28131

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_28130

Curator: @AniH

SciCrunch record: RRID:BDSC_28130

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_28129

Curator: @AniH

SciCrunch record: RRID:BDSC_28129

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_29652

Curator: @AniH

SciCrunch record: RRID:BDSC_29652

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_55016

Curator: @AniH

SciCrunch record: RRID:BDSC_55016

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_28128

Curator: @AniH

SciCrunch record: RRID:BDSC_28128

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_28127

Curator: @AniH

SciCrunch record: RRID:BDSC_28127

What is this?

DOI: 10.1371/journal.pgen.1008887

Resource: RRID:BDSC_28126

Curator: @AniH

SciCrunch record: RRID:BDSC_28126

What is this?

DOI: 10.1371/journal.pbio.3002332

Resource: RRID:BDSC_68301

Curator: @mpairish

SciCrunch record: RRID:BDSC_68301

What is this?

DOI: 10.1038/s44319-024-00147-0

Resource: (Alomone Labs Cat# ACC-002, RRID:AB_2039766)

Curator: @vtello

SciCrunch record: RRID:AB_2039766

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_54223

Curator: @bandrow

SciCrunch record: RRID:BDSC_54223

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_69507

Curator: @bandrow

SciCrunch record: RRID:BDSC_69507

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_70567

Curator: @bandrow

SciCrunch record: RRID:BDSC_70567

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_70602

Curator: @bandrow

SciCrunch record: RRID:BDSC_70602

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_71136

Curator: @bandrow

SciCrunch record: RRID:BDSC_71136

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_41305

Curator: @bandrow

SciCrunch record: RRID:BDSC_41305

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_48233

Curator: @bandrow

SciCrunch record: RRID:BDSC_48233

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_38750

Curator: @bandrow

SciCrunch record: RRID:BDSC_38750

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_38764

Curator: @bandrow

SciCrunch record: RRID:BDSC_38764

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_49034

Curator: @bandrow

SciCrunch record: RRID:BDSC_49034

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_6793

Curator: @bandrow

SciCrunch record: RRID:BDSC_6793

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_51974

Curator: @bandrow

SciCrunch record: RRID:BDSC_51974

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_9998

Curator: @bandrow

SciCrunch record: RRID:BDSC_9998

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_66696

Curator: @bandrow

SciCrunch record: RRID:BDSC_66696

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_37516

Curator: @bandrow

SciCrunch record: RRID:BDSC_37516

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_57670

Curator: @bandrow

SciCrunch record: RRID:BDSC_57670

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_57622

Curator: @bandrow

SciCrunch record: RRID:BDSC_57622

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_66685

Curator: @bandrow

SciCrunch record: RRID:BDSC_66685

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_7010

Curator: @bandrow

SciCrunch record: RRID:BDSC_7010

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_51630

Curator: @bandrow

SciCrunch record: RRID:BDSC_51630

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_38388

Curator: @bandrow

SciCrunch record: RRID:BDSC_38388

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_26263

Curator: @bandrow

SciCrunch record: RRID:BDSC_26263

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_6596

Curator: @bandrow

SciCrunch record: RRID:BDSC_6596

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_24650

Curator: @bandrow

SciCrunch record: RRID:BDSC_24650

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_31286

Curator: @bandrow

SciCrunch record: RRID:BDSC_31286

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_34715

Curator: @bandrow

SciCrunch record: RRID:BDSC_34715

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_28061

Curator: @bandrow

SciCrunch record: RRID:BDSC_28061

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_58244

Curator: @bandrow

SciCrunch record: RRID:BDSC_58244

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_40858

Curator: @bandrow

SciCrunch record: RRID:BDSC_40858

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_34675

Curator: @bandrow

SciCrunch record: RRID:BDSC_34675

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_40859

Curator: @bandrow

SciCrunch record: RRID:BDSC_40859

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_28055

Curator: @bandrow

SciCrunch record: RRID:BDSC_28055

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_27554

Curator: @bandrow

SciCrunch record: RRID:BDSC_27554

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_27707

Curator: @bandrow

SciCrunch record: RRID:BDSC_27707

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_28060

Curator: @bandrow

SciCrunch record: RRID:BDSC_28060

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_27551

Curator: @bandrow

SciCrunch record: RRID:BDSC_27551

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_44421

Curator: @bandrow

SciCrunch record: RRID:BDSC_44421

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_28367

Curator: @bandrow

SciCrunch record: RRID:BDSC_28367

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_27706

Curator: @bandrow

SciCrunch record: RRID:BDSC_27706

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_58309

Curator: @bandrow

SciCrunch record: RRID:BDSC_58309

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_28989

Curator: @bandrow

SciCrunch record: RRID:BDSC_28989

What is this?

DOI: 10.1016/j.cub.2023.08.034

Resource: RRID:BDSC_8730

Curator: @bandrow

SciCrunch record: RRID:BDSC_8730

What is this?

DOI: 10.1016/j.micinf.2024.105398

Resource: (IMSR Cat# JAX_021301,RRID:IMSR_JAX:021301)

Curator: @vtello

SciCrunch record: RRID:IMSR_JAX:021301

What is this?

DOI: 10.1016/j.isci.2024.110482

Resource: NCBITaxon_2850

Curator: @vtello

SciCrunch record: RRID:NCBITaxon_2850

What is this?

DOI: 10.1016/j.isci.2024.110508

Resource: (RRID:CVCL_KS47)

Curator: @vtello

SciCrunch record: RRID:CVCL_KS47

What is this?

DOI: 10.1016/j.isci.2024.110505

Resource: (CCLV Cat# CCLV-RIE 1018, RRID:CVCL_0063)

Curator: @vtello

SciCrunch record: RRID:CVCL_0063

What is this?

DOI: 10.1016/j.isci.2024.110505

Resource: (KCB Cat# KCB 200732YJ, RRID:CVCL_1379)

Curator: @vtello

SciCrunch record: RRID:CVCL_1379

What is this?

DOI: 10.1016/j.isci.2024.110505

Resource: (CLS Cat# 300168/p708_DU-145, RRID:CVCL_0105)

Curator: @vtello

SciCrunch record: RRID:CVCL_0105

What is this?

DOI: 10.1016/j.isci.2024.110505

Resource: (ECACC Cat# 90112714, RRID:CVCL_0035)

Curator: @vtello

SciCrunch record: RRID:CVCL_0035

What is this?

DOI: 10.1016/j.isci.2024.110490

Resource: FreeSurfer (RRID:SCR_001847)

Curator: @vtello

SciCrunch record: RRID:SCR_001847

What is this?

DOI: 10.1016/j.isci.2024.110490

Resource: Python Programming Language (RRID:SCR_008394)

Curator: @vtello

SciCrunch record: RRID:SCR_008394

What is this?

DOI: 10.1016/j.isci.2024.110490

Resource: R Project for Statistical Computing (RRID:SCR_001905)

Curator: @vtello

SciCrunch record: RRID:SCR_001905

What is this?

DOI: 10.1016/j.isci.2024.110490

Resource: MATLAB (RRID:SCR_001622)

Curator: @vtello

SciCrunch record: RRID:SCR_001622

What is this?

DOI: 10.1016/j.celrep.2024.114473

Resource: (ATCC Cat# PTA-5077, RRID:CVCL_6911)

Curator: @vtello

SciCrunch record: RRID:CVCL_6911

What is this?

DOI: 10.1016/j.celrep.2024.114473

Resource: (ATCC Cat# CRL-4000, RRID:CVCL_4388)

Curator: @vtello

SciCrunch record: RRID:CVCL_4388

What is this?

DOI: 10.1016/j.celrep.2024.114473

Resource: (BCRC Cat# 60005, RRID:CVCL_0030)

Curator: @vtello

SciCrunch record: RRID:CVCL_0030

What is this?

DOI: 10.1016/j.celrep.2024.114473

Resource: (CCLV Cat# CCLV-RIE 1018, RRID:CVCL_0063)

Curator: @vtello

SciCrunch record: RRID:CVCL_0063

What is this?

DOI: 10.1016/j.cub.2024.06.049

Resource: RRID:ZFIN_ZDB-GENO-960809-7

Curator: @vtello

SciCrunch record: RRID:ZFIN_ZDB-GENO-960809-7

What is this?

DOI: 10.1016/j.isci.2024.110533

Resource: (Proteintech Cat# 66009-1-Ig, RRID:AB_2687938)

Curator: @vtello

SciCrunch record: RRID:AB_2687938

What is this?

DOI: 10.1016/j.isci.2024.110533

Resource: (Proteintech Cat# 67763-1-Ig, RRID:AB_2909469)

Curator: @vtello

SciCrunch record: RRID:AB_2909469

What is this?

DOI: 10.3390/ijms25137168

Resource: IBM SPSS Statistics (RRID:SCR_016479)

Curator: @dhovakimyan1

SciCrunch record: RRID:SCR_016479

What is this?

DOI: 10.3390/ijms25137168

Resource: (SeraCare KPL Cat# 5220-0341, RRID:AB_2891080)

Curator: @dhovakimyan1

SciCrunch record: RRID:AB_2891080

What is this?

DOI: 10.3390/ijms25137168

Resource: (Cell Signaling Technology Cat# 4904, RRID:AB_331269)

Curator: @dhovakimyan1

SciCrunch record: RRID:AB_331269

What is this?

DOI: 10.1101/2024.07.22.24310806

Resource: Parkinson's Progression Markers Initiative (RRID:SCR_006431)

Curator: @dhovakimyan1

SciCrunch record: RRID:SCR_006431

What is this?

DOI: 10.1038/jhg.2010.140

Resource: GraphPad Prism (RRID:SCR_002798)

Curator: @dhovakimyan1

SciCrunch record: RRID:SCR_002798

What is this?

DOI: 10.1038/jhg.2010.140

Resource: TopScan Lite (RRID:SCR_014494)

Curator: @dhovakimyan1

SciCrunch record: RRID:SCR_014494

What is this?

DOI: 10.1038/jhg.2010.140

Resource: GraphPad Prism (RRID:SCR_002798)

Curator: @dhovakimyan1

SciCrunch record: RRID:SCR_002798

What is this?

DOI: 10.1101/2024.07.18.604025

Resource: R Project for Statistical Computing (RRID:SCR_001905)

Curator: @dhovakimyan1

SciCrunch record: RRID:SCR_001905

What is this?

DOI: 10.1101/2024.07.18.604025

Resource: BEDTools (RRID:SCR_006646)

Curator: @dhovakimyan1

SciCrunch record: RRID:SCR_006646

What is this?

DOI: 10.1101/2024.07.18.604025

Resource: LASTZ (RRID:SCR_018556)

Curator: @dhovakimyan1

SciCrunch record: RRID:SCR_018556

What is this?

DOI: 10.1101/2024.07.18.604025

Resource: sambamba (RRID:SCR_024328)

Curator: @dhovakimyan1

SciCrunch record: RRID:SCR_024328

What is this?

DOI: 10.1101/2024.07.18.603996

Resource: (IMSR Cat# JAX_002609,RRID:IMSR_JAX:002609)

Curator: @dhovakimyan1

SciCrunch record: RRID:IMSR_JAX:002609

What is this?

DOI: 10.1101/2024.07.18.603996

Resource: (IMSR Cat# JAX_000664,RRID:IMSR_JAX:000664)

Curator: @dhovakimyan1

SciCrunch record: RRID:IMSR_JAX:000664

What is this?

DOI: 10.1101/2024.07.18.604161

Resource: (IMSR Cat# JAX_021301,RRID:IMSR_JAX:021301)

Curator: @dhovakimyan1

SciCrunch record: RRID:IMSR_JAX:021301

What is this?

DOI: 10.1101/2024.07.18.604161

Resource: (IMSR Cat# JAX_000664,RRID:IMSR_JAX:000664)

Curator: @dhovakimyan1

SciCrunch record: RRID:IMSR_JAX:000664

What is this?

DOI: 10.1038/s41467-024-50429-3

Resource: Penn State Hershey College of Medicine Flow Cytometry and Cell Sorting Core Facility (RRID:SCR_021134)

Curator: @dhovakimyan1

SciCrunch record: RRID:SCR_021134

What is this?

DOI: 10.1038/s41596-024-01019-6

Resource: (ATCC Cat# CRL-2539, RRID:CVCL_0125)

Curator: @dhovakimyan1

SciCrunch record: RRID:CVCL_0125

What is this?

DOI: 10.1186/s13059-020-02193-y

Resource: RRID:BDSC_25710

Curator: @anisehay

SciCrunch record: RRID:BDSC_25710

What is this?

DOI: 10.1186/s13059-020-02193-y

Resource: RRID:BDSC_25709

Curator: @anisehay

SciCrunch record: RRID:BDSC_25709

What is this?

DOI: 10.1186/s13059-020-02193-y

Resource: RRID:BDSC_2208

Curator: @anisehay

SciCrunch record: RRID:BDSC_2208

What is this?

DOI: 10.1186/s13059-020-02193-y

Resource: RRID:BDSC_2776

Curator: @anisehay

SciCrunch record: RRID:BDSC_2776

What is this?

DOI: 10.1186/s13059-020-02193-y

Resource: RRID:BDSC_3605

Curator: @anisehay

SciCrunch record: RRID:BDSC_3605

What is this?