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Note: this photo was published in an undated (Jan 8, 2011) Everyblock NYC zipcodes blog titled "10036." It was also published in a Feb 24, 2012 blog titled "Using Body Heat to Recharge Cellphone, Laptop."
Moving into 2013, the photo was published in a Mar 21, 2013 blog titled "Dude, where’s my data? Life after Google Reader."
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As I noted in this Flickr set a year ago, no New Yorker in his right mind goes to Times Square on New Year's Eve. Nobody from Manhattan, anyway -- you can never tell about those crazy people in the remote boroughs of Brooklyn, Queens, Staten Island, or the Bronx (and we won't even try to imagine what those crazy folks in New Jersey might do). Actually, even some residents of Manhattan have experienced the New Year's Eve count-down once in their lives, if only so they can speak with some authority about the subject. In my case, it was back in 1969; and it was only because I had had a pleasant dinner at a fancy restaurant a couple blocks from Times Square, and had to walk to the subway when no taxis could be found. There I was, in the midst of it all ... and once was more than enough.
Why do New Yorkers do their best to stay away from Times Square on New Year's Eve? Well, have you ever looked at a TV report from Times Square in the midst of all that mayhem? There are a gazillion other people out there, jammed against each other, shoulder to shoulder — and they're all drunk (or at least they look that way), and they're all screaming at the top of their lungs. You can't just drive to a nearby corner and park your car, with a plan of getting back in your car and fleeing after you've seen what a crazy idea it was. And you can't take a taxi right to the middle of Times Square — at least, not after mid-afternoon on New Year's Eve. Even worse, there are no public bathrooms anywhere to be found, so you're in trouble if you drink too much beer ... except that the cops do their best, quite understandably, to make sure nobody in the Times Square area (which, on this special night, is broadly defined to cover the area from 34th Street to 59th Street, and from Sixth Avenue to Eighth Avenue) is drinking or doing anything that might look dangerous. Or carrying a backpack that might contain dangerous things.
Consequently, it often seems that most of the crowd has chosen to get roaring drunk before they arrive on the scene. All of which might be great fun if the weather is clear, and the temperature is somewhere above the freezing mark. But if it's 30 degrees or lower, and it's drizzling or raining or snowing, this is not a place where you want to spend six or eight hours standing around with two million of your best (drunken) friends...
Thus, it should not surprise you to hear that I was not in Times Square to watch the ball drop at midnight on New Year's Eve of 2010 (or, for that matter, any other year going back to 1969). However, I remembered that my visit to Times Square in the early afternoon of Dec 31, 2009 had been somewhat interesting, and since the weather forecasters were predicting mild, mostly-sunny skies this year, I thought it might be interesting to try it again.
I took the IRT subway down to Times Square, and then spent the next two hours wandering north up Broadway to about 49th Street, and then back toward 42nd St. again. Even at 1:30 PM, the streets were already crowded with families and tourists, and what seemed to be an even larger number of police. It also seemed like almost everyone was wearing a party hat, or a set of "2011" fake eyeglasses, or some other kind of celebratory costume or adornment. There were also gazillions of digital cameras, and an equal number of Blackberries and cellphones. I wonder how many millions and millions of digital images and video clips were shot during the course of the afternoon.
Perhaps the funniest sight during the afternoon was the frequent appearance of delivery guys wearing bright, colorful, and instantly recognizable Domino's Pizza uniforms, wandering through the crowds with large, insulated "thermal" bags that probably carried half a dozen pizzas. In a couple cases, they were peering anxiously at individuals at a specific street corner; my assumption was that someone had called Domino's from their cell phone, requesting delivery to that exact spot. But in other cases, it looked far more likely that the delivery guys were just wandering around, looking for hungry people that were probably willing to pay a premium price for a good hot slice of pizza ... or the whole darn pie.
Around 2:45 PM, I was wandering south on Broadway once again, but when I got as far as 44th Street, I could see that the cops had completely closed off the next two blocks, and that even the sidewalks were impassable. I knew that they were cordoning the crowd into fenced-in rectangular areas, and that (a) each person allowed into such a rectangular area was first searched by a cop for booze, weapons or other contraband, and (b) once inside the fenced-in area, you weren't allowed out unless you left for good.
As more people arrived, the cops kept moving northwards, filling up one rectangular area after another. The obvious strategy for me, then, was to turn around and head north -- toward the local IRT subway stop at Broadway and 50th Street. But I got no further than 46th Street before everything stopped, and I could make no further progress along the sidewalk, even though I had been hugging the sides of the buildings along the way to avoid the throngs everywhere else. Fortunately, I was only about 10 feet from the corner of Broadway and 46th; but it took a good, solid 15 minutes to actually reach the corner -- at which point I heard the cops yelling to the crowd that they were closing everything down, and that anyone who wanted to go elsewhere would have to take the "side street" (i.e., 46th Street) over to 8th Avenue, in order to navigate further northward.
There were more barricades at 8th Avenue and 46th Street, and the narrow passageways onto 8th Avenue itself were being closed down. I managed to squeeze through, got onto 8th Avenue, and then easily walked up to 50th Street. Back over to Broadway, and I could look down the avenue all the way to the tower on 42nd Street where the ball would drop later tonight. And turning around, I could look several blocks north up Broadway, and see that (a) they were all empty, and (b) the cops had cordoned them off, too. By now, it was about 3:15 PM, and I got the sense that it wouldn't be long before the fenced-in crowds would be all the way up to where I was, and then further north, perhaps all the way up to Central Park at 59th Street.
In any case, it was clearly time to go home. I uploaded the 800+ photos that I had taken during the afternoon, enjoyed a delicious New Year's Eve dinner at home, and then settled down to watch the revelry on television as the countdown came to an end. As I noted at the end of last year's Flickr set of Times Square images, the TV coverage was obviously far more extensive than what I could accomplish with just one DSLR camera; and it was also infinitely more sophisticated, with high-end TV cameras located on strategic vantage points all around the square. On the other hand, the TV images appear, and then disappear, often leaving no lasting impression. By contrast, these still images will hopefully be interesting to look at months, if not years, from now. For better or worse, they'll be here whenever you'd like to see them...
The overflowing of digital data in all sizes and shapes.
Cyberspace must be overclogged with all of this.
Quick-Look Hill-shaded Colour Relief Image of 2014 25cm LIDAR Composite Digital Surface Model (DSM).
Data supplied by Environment Agency under the Open Government License agreement. For details please go to: www.nationalarchives.gov.uk/doc/open-government-licence/v...
For full raster dataset go to: environment.data.gov.uk/ds/survey
We may need to connect directly to our computers in the future to get our data fixes!
Strobist:
-SB600 CL into silver umbrella
-SB600 CR into silver umbrella
-SB800 on camera into ring flash adapter
-triggered via SB800
User contributed photo of a recent data center "Construction Kit" campaign. knowledge.digitalrealtytrust.com/2009/09/construction-kit...
It’s a great idea but the whole point having a lifeboat archive of all your photos is affordability to get that lifeboat. Images are great and I have 19000 of them from 20 years on the platform. It’s. A great idea. Looks good but in practice no one’s using it as a full backup as intended because it’s so damn expensive. Bear in mind the price may be USD (it’s unclear but it’s Flickr so almost surely USD) Making a full backup to a data vault may be nearly $500 aud.
Great idea that no one will use for its intended purpose due to the costs.
Fascinating as Flickr’s own backup tools are rather capricious and unpleasant to use.
Buy hey pay us money you get your photos.
It’s another way smugmug is trying to make money off the business and as usual it’s expensive and boutique. And useless because of the arbitrary tiers and high cost of what’s obviously an automated product. So money for jam for smugmug
Rolls-Royce has launched R² Data Labs, to act as an acceleration hub for data innovation. Using advanced data analytics, industrial Artificial Intelligence and machine learning techniques, R² Data Labs develops data applications that unlock design, manufacturing and operational efficiencies within Rolls-Royce and creates new service propositions for customers.
This map displays bloom data collected during harmful algal bloom sampling in the Indian River Lagoon in June 2014.
This image: For more than a century, astronomers have categorized galaxies near and far, both by comparing their shapes by eye and precisely measuring their properties with data known as spectra. For example, Edwin Hubble created the Hubble Tuning Fork in 1926 to begin to sort the shapes and sizes of nearby galaxies, showing that many are spirals and ellipticals.
As telescopes’ instruments have become increasingly more sensitive, it is easier to more accurately classify their shapes. New data from the James Webb Space Telescope have added nuances to astronomers’ classifications. Since Webb observes in infrared light, many more extremely distant galaxies appear in its images. Plus, the images are finely detailed, allowing researchers to identify if there are additional areas of star formation – or confirm they aren’t present.
A team led by Viraj Pandya, a NASA Hubble Fellow at Columbia University in New York, recently analyzed hundreds of distant galaxies in Webb’s Cosmic Evolution Early Release Science (CEERS) Survey. CEERS intentionally covers much of the same area as the Hubble Space Telescope’s Extended Groth Strip, which was one of the five fields used to create the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey (CANDELS). This allowed them to double-check Webb’s results where the telescopes’ observations overlap.
“Our analysis of Webb’s galaxies was very consistent with galaxies in the Hubble Space Telescope catalog,” Pandya confirmed. “Two sets of data allowed us to fully vet our models as we ran our analysis, and better understand and categorize galaxies that only Webb detected.” The team began their analysis by sorting the galaxies into broad classes based on similar characteristics. (They did not classify each galaxy’s individual appearance since that would require detailed information from data known as spectra.)
They found an array of odd shapes when the universe was 600 million to 6 billion years old. The galaxy shapes that dominate look flat and elongated, like pool noodles or surfboards. These two galaxy types make up approximately 50 to 80% of all the distant galaxies they studied – a surprise, since these shapes are rare closer to home.
Other galaxies Webb detected appear round but also flattened, like frisbees. The least populated category is made up of galaxies that are shaped like spheres or volleyballs.
Webb’s data also resolved a riddle that was introduced by the Hubble Space Telescope’s observations decades ago. Why do so many distant galaxies appear like long lines? Was there more to the galaxies that didn’t appear in its images? Webb answered this in short order: Hubble hasn’t missed anything.
“Webb confirmed what Hubble has long shown us, but in greater detail in infrared light,” Pandya said. “Their combined observations show that in the early universe, many more galaxies appear flat and elongated. This has profound implications, since we usually assume that galaxies like our own Milky Way started out as disks, but that may not be the case.”
Why do galaxies have such different shapes early in the history of the universe? This question remains unanswered for now, but research is underway to better understand how galaxies evolved over all of cosmic time.
Read more: www.nasa.gov/missions/webb/webb-shows-many-early-galaxies...
Credits: NASA, ESA, CSA, STScI, Steve Finkelstein (UT Austin), Micaela Bagley (UT Austin), Rebecca Larson (UT Austin)
Image description: In the far-left column are two galaxies that have been magnified. The top left galaxy appears circular and light pink with a slightly whiter central region, taking up less than one-sixth of the box. The bottom galaxy is elongated, stretching almost from top left to bottom right. It has a white line at the center that has a pink outline that transitions into bluish edges at far left and right. Thin lines from each magnified galaxy point to their appearances in the broader field. The top galaxy appears as a tiny dot at the upper center, and the bottom galaxy toward the left. Thousands of galaxies appear across most of this view, which is set against the black background of space. There are many overlapping objects at various distances. They include large, blue foreground stars, with Webb’s signature eight-pointed diffraction spikes, and white and pink spiral and elliptical galaxies. Numerous tiny red dots appear throughout the scene. This is a portion of a vast survey known as CEERS.
Quick-Look Hill-shaded Colour Relief Image of 2014 0.50m LIDAR Composite Digital Terrain Model (DSM).
Data supplied by Environment Agency under the Open Government License agreement. For details please go to: www.nationalarchives.gov.uk/doc/open-government-licence/v...
For full raster dataset go to: environment.data.gov.uk/ds/survey