Nightsky 40M Dataset

~40 million posts from the Bluesky Firehose API, reasonably anonymized. Licensed under CC0 and completely independently sourced to avoid licensing issues. Use it as you wish! Very little preprocessing.

  Request data deletion

A user may request removal of their data by e-mailing nightsky-rm@proton.me with a subject line of "Delete My Data".As I don't collect usernames/DIDs, you must specify the position of every individual row you would like to be… See the full description on the dataset page: https://huggingface.co/datasets/Aranym/40-million-bluesky-posts.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Forcing. The data include parameters of paleoceanography with a geographic location of North Atlantic Ocean. The time period coverage is from 38490000 to 20000 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

Revolut experienced significant customer growth between 2018 and 2024, reaching ** million customers in December 2024. If the neobank maintains its current growth trajectory, projections suggest it could expand to over ** million customers by December 2025. While the United Kingdom remains its primary market with approximately ** million users, Revolut download figures indicate strong popularity in Romania, France, and Poland. Scaling up: Revolut's journey to ** million users In February 2018, the London-based neobank Revolut reported 1.5 million customers, a number that grew to three million by November of the same year. By September 2019, Revolut had reached eight million customers, a figure that more than tripled to over 25 million by November 2022. The company's rapid expansion continued, with its customer base increasing by 10 million in just 11 months between November 2022 and October 2023, reaching ** million customers. By March 2024, Revolut's customer base had grown to ** million, and by December 2024, the company celebrated hitting the ** million customer milestone. Parallel to this explosive customer growth, Revolut also experienced significant financial improvement, with its revenue nearly doubling in 2023 ad 2024. Funding of banking fintechs For several years, fintech banking startup investments surged, with funding often doubling annually - a trend particularly evident in 2017 and 2021. However, 2022 marked a dramatic shift, marking the first investment decline since 2016. The downturn continued into 2023, with funding plummeting to 2.2 billion U.S. dollars, the lowest level in seven years.

This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Paleoceanography. The data include parameters of climate reconstructions|paleoceanography with a geographic location of Global. The time period coverage is from 40195000 to 0 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

Among member countries of the Organization of Economic Co-operation and Development (OECD), Japan has the highest density of magnetic resonance imaging (MRI) units. Almost 60 such units are available per every million of its population. Greece and South Korea both follow with rates of around 39 per million inhabitants. Compared to these countries, Mexico had around three MRI units per every million. The density of diagnostic imaging units can be one measurement to define the quality of a country’s health care infrastructure. Why and when MRI is usedThe invention of MRI scanners revolutionized diagnostic imaging as it doesn’t use radiation, but a magnetic field and radio waves. Since ionized radiation as used in CT-scans and X-rays is potentially harmful for the patient, this includes a significant advantage for MRIs. MRI scans are principally used for imaging organs, soft tissues, ligaments, and other parts of the body which are difficult to see. While on the other hand, computer tomography (CT) scanners are more frequently used to show bony structures. Among the global top manufacturers of MRI scanners are General Electric, Siemens, Hitachi, and Philips. The costs of MRIA single scan per MRI could cost up to 4,000 U.S. dollars, and thus double the cost of a scan with CT. The purchase of an MRI scanner could be a major investment for a practice or a hospital, with prices ranging from 150 thousand dollars up to several million dollars. Of course, there are installation and maintenance costs to be taken into account as well. With nearly 40 million MRI scans performed annually in the United States, it’s clear that diagnostic imaging costs are substantial.

Mutation enables evolution, but the idea that adaptation is also shaped by mutational variation is controversial. Simple evolutionary hypotheses predict such a relationship if the supply of mutations constrains evolution, but it is not clear that constraints exist, and, even if they do, they may be overcome by long-term natural selection. Quantification of the relationship between mutation and phenotypic divergence among species will help to resolve these issues. Here we use precise data on over 50,000 Drosophilid fly wings to demonstrate unexpectedly strong positive relationships between variation produced by mutation, standing genetic variation, and the rate of evolution over the last 40 million years. Our results are inconsistent with simple constraint hypotheses because the rate of evolution is very low relative to what both mutational and standing variation could allow. In principle, the constraint hypothesis could be rescued if the vast majority of mutations are so deleterious tha...

Dataset description:

The Encyclopedia of Domains (TED) is a joint effort by CATH (Orengo group) and the Jones group at University College London to identify and classify protein domains in AlphaFold2 models from AlphaFold Database version 4, covering over 188 million unique sequences and 365 million domain assignments.

In this data release, we will be making available to the community a table of domain boundaries and additional metadata on quality (pLDDT, globularity, number of secondary structures), taxonomy, and putative CATH SuperFamily or Fold assignments, for all 365 million domains (~324 million domains in TED100 and ~40 million domains in TED-redundant).

For all chains in the chain-level TED-redundant files, the file contains boundary predictions, consensus level and information on the TED100 representative.

For both TED100 and TED-redundant we provide domain boundary predictions outputted by each of the three methods employed in the project (Chainsaw, Merizo, UniDoc).

We are making available 7,427 PDB files for potentially novel folds identified during the TED classification process, with an annotation table sorted by novelty, as well as 6,433 highly symmetrical folds representatives.

Please use the gunzip command to extract files with a '.gz' extension and "tar -xzvf file.tar.gz" to open .tar.gz files .

CATH annotations have been assigned using the Foldseek algorithm applied in various modes, and the Foldclass algorithm, both of which are used to report significant structural similarity to a known CATH domain.

Note: The TED protocol differs from that of the standard CATH Assignment protocol for superfamily assignment, which also involves HMM-based protocols and manual curation for classification into superfamilies.

Changelog Version 5:

• Add: ted_365m.domain_summary.cath.globularity.taxid.tsv.tar.gz - This table, in the same format as the previous ted_100_324m.domain_summary.cath.globularity.taxid.tsv.tar.gz, contains per-domain annotations for the whole of TED, including metadata on domain quality metrics such as secondary structure elements counts, globularity scores, average pLDDT and taxonomical assignments.
• Add: high_symmetry_folds_set.domain_summary.tsv.gz - subset of ted_365m.domain_summary.cath.globularity.taxid.tsv containing information on 6,433 high symmetry folds in TED. The entries are sorted in descending order by Z-score obtained from SymD.
• Add: high_symmetry_folds_set_models.tar.gz - TED domain models in PDB format for 6,433 high symmetry folds in TED.
• Add: ISP_data.tar.gz - Raw data for Interacting SuperFamily Pairs calculations used in the manuscript. A more detailed description of the ISP data is available below as well as within the tar.gz file.
• Add: ted_redundant_40m_domain_id.list.gz - list of TED_domain_ID in TED redundant
• Add: ted_100_324m_domain_id.list.gz - list of TED_domain_ID in TED100
• Fix/Replace: A domain-level summary of TED, now consolidated into ted_365m.domain_summary.cath.globularity.taxid.tsv, is consistent with the protocol used in the manuscript. As Foldclass and Foldseek T-level hits provide all 4 CATH digits, we removed the H portion of the CATH code from each prediction at the T-level.
  Previously, the following columns
  14. cath_label - CATH superfamily code if predicted, either a C.A.T.H. homologous superfamily or C.A.T. fold assignment. i.e. 3.40.50.300
  15. cath_assignment_level - H for homologous superfamily assignment, T for fold level assignment.
  16. cath_assignment_method - Method used to assign a CATH label, either Foldseek or Foldclass
  sometimes showed an additional label with a T-level prediction by Foldclass in the case of T-level assignments obtained by Foldseek, e.g.
  3.40.30,3.40.30 T foldseek,foldclass
  This has now been corrected to reflect the TED protocol, with Foldclass T-level assignments applied only to domains where a T-level assignment could not be applied using Foldseek, e.g.
  domain-x 3.40.30 T foldseek
  domain-y 3.20.20 T foldclass
  
  Thus, in the current version of the data, CATH assignments label can only be
  H-level assignment by Foldseek (i.e. 3.40.50.300 H foldseek)
  T-level assignment by Foldseek (i.e. 3.40.30 T foldseek)
  T-level assignment by Foldclass (i.e. 3.40.30 T foldclass)
  or no assignment (- - - )

This dataset contains:

• ted_214m_per_chain_segmentation.tsv
  The file contains all 214M protein chains in TED with consensus domain boundaries and proteome information in the following columns.
  1. AFDB_model_ID: chain identifier from AFDB in the format AF-
• ted_365m_domain_boundaries_consensus_level.tsv.gz
  The file contains all domain assignments in TED100 and TED-redundant (365M) in the format:
  1. TED_ID: TED domain identifier in the format AF-
• ted_100_324m_domain_id.list.gz - list of ~324 million domain identifiers in TED100, one per line in the format AF-
• ted_redundant_40m_domain_id.list.gz - list of ~40 million domain identifiers in TED redundant, one per line in the format AF-
• ted_365m.domain_summary.cath.globularity.taxid.tsv, novel_folds_set.domain_summary.tsv and high_symmetry_folds_set.domain_summary.tsv are header-less with the following columns separated by tabs (.tsv). novel_folds_set.domain_summary.tsv is sorted by novelty
  Note: The TED protocol differs from that of the standard CATH Assignment protocol for superfamily assignment, which also involves HMM-based protocols and manual curation for classification into superfamilies.
  
  1. ted_id - TED domain identifier in the format AF-
• ted_324m_seq_clustering.cathlabels.tsv.gz
  The file contains the results of the domain sequences clustering with MMseqs2.
  Columns:
  1. Cluster_representative
  2. Cluster_member
  3. CATH code assignment if available i.e. 3.40.50.300 for a domain with a homologous match or 3.20.20 for a domain matching at the fold level in the CATH classification
  4. CATH assignment type - either Foldseek-T, Foldseek-H or Foldclass
  
  
• Domain assignments for TED redundant using single-chain and multi-chain consensus in ted_redundant_39m.multichain.consensus_domain_summary.taxid.tsv.gz and ted_redundant_39m.singlechain.consensus_domain_summary.taxid.tsv.gz
• The file ted_redundant_39m.multichain.consensus_domain_summary.taxid.tsv.gz contains a header with the

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Content

This data is an extract from a bigger reddit dataset (All reddit comments from May 2019, 157Gb or data uncompressed) that contains both more comments and more associated informations (timestamps, author, flairs etc...).

For ease of use, I picked the first 25 000 comments for each of the 40 most frequented subreddits (May 2019), this was if anyone wants to us the subreddit as categorical data, the volumes are balanced.

I also excluded any removed comments / comments whose author got deleted and comments deemed too short (less than 4 tokens) and changed the format (json -> csv).

This is primarily a NLP dataset, but in addition to the comments I added the 3 features I deemed the most important, I also aimed for feature type variety.

The information kept here is:

• subreddit (categorical): on which subreddit the comment was posted
• body (str): comment content
• controversiality (binary): a reddit aggregated metric
• score (scalar): upvotes minus downvotes

Acknowledgements

The data is but a small extract of what is being collected by pushshift.io on a monthly basis. You easily find the full information if you want to work with more features and more data.

What can I do with that?

Have fun! The variety of feature types should allow you to gain a few interesting insights or build some simple models.

Note

If you think the License (CC0: Public Domain) should be different, contact me

According to data from February 2022, **** million people in the United States were said to listen to podcasts on Spotify that year, while Apple had **** million podcast listeners. Spotify's and Apple's figures were projected to add up to **** million and **** million by 2025, respectively.

Plantain imports reached a peak of 40K tons in 2013 but declined in the following years. By 2023, plantain imports had a surge in value to $40M.

During the review period, Illuminated Sign exports peaked in 2024 and are anticipated to continue growing in the near future. The export value decreased to $40M in 2024.

Project Overview The Project aims to promote structural transformation of the Japanese economy by supporting the challenges of Small and Medium-Sized Enterprises and other countries that are eager to undertake drastic business restructuring in order to respond to social and economic changes in the post-COVID-19 era, such as entering new markets (Development of new fields and business transformation), changing businesses and industries, business restructuring, returning to Japan, maintaining and strengthening regional supply chains, or expanding scale through these initiatives. The 13 Call will continue to focus on supporting the efforts of businesses that are rebuilding their businesses in response to the post-COVID-19 pandemic.

O Subsidy Amount [Growth Area Entry Quota (Normal Type)] Small and Medium-Sized Enterprises, etc, Both Leading Medium-Sized Enterprises, etc. 【 No more than 20 employees 】1 million JPY to 15 million JPY (20 million JPY) 【 No more than 21~50 employees 】1 million JPY to 30 million JPY (40 million JPY) 【 No more than 51~100 employees 】1 million JPY to 40 million JPY (50 million Small and Medium-Sized Enterprises) 【 No more than 101 employees 】1 million JPY to 60 million JPY (70 million JPY) ※() indicates large-scale Wage Increases in a short period of time [Expansion into Growth Fields (GX Expansion Type)] Small and Medium-Sized Enterprises, etc. 【 No more than 20 employees 】1 million JPY to 30 million JPY (40 million JPY) 【 No more than 21~50 employees 】1 million JPY to 50 million JPY (60 million JPY) 【 No more than 51~100 employees 】1 million JPY to 70 million JPY (80 million JPY) 【 No more than 101 employees 】1 million JPY to 80 million JPY (1 million JPY) JPY, etc. 15 million JPY ~20 million Small and Medium-Sized Enterprises (21~50 Leading Medium-Sized Enterprises) * () indicates large-scale JPY projects in a short period [COVID-19 Recovery Acceleration Framework (Minimum Wage Type)] JPY, etc, Both in JPY, etc. [Employees JPY or Less] 1 million JPY to 30 million JPY [Employees JPY] 40 million JPY to 51~100 Small and Medium-Sized Enterprises [Employees 1 million or More] 20 Leading Medium-Sized Enterprises to 1 million JPY [Additional Measures to Promote Graduation] Based on the maximum subsidy amount for each business type [Additional Measures to Promote Medium- to Large-Scale Wage Increases] 15 million JPY to 20 million Wage Increases

Yes Subsidy Rate [Limited Entry into Growth Fields (Normal Type)] Small and Medium-Sized Enterprises, etc. 1/2 (2/3) JPY, etc. 1/3 (1/2) ※ Figures in () indicate large-scale JPY in the short term [Limited Entry into Growth Fields (GX Entry Type)] JPY, etc. 1/2 (2/3) JPY, etc. 1/3 (1/2) * () indicates short-term large-scale Small and Medium-Sized Enterprises [Framework for Accelerating COVID-19 Recovery (Minimum Wage Type)] Leading Medium-Sized Enterprises, etc. 3/4 (2/3) JPY, etc. 1/2 (2/3) * () indicates persons who have not refinanced their debts incurred due to COVID-19 [Additional Measures to Promote Graduation] JPY, etc. 1/3 JPY, etc. 1/2 [Additional Measures to Promote Medium- to Large-Scale Wage Increases] JPY, etc. 1/2 JPY, etc. 2/3

O Requirements for Subsidies All of the following must be met: (JPY), (JPY), and (JPY). (* 1) (1) The business meets the definition of "business restructuring" in the Business Restructuring Guidelines. (2) A business plan must be formulated with a financial institution, etc. (Banks, shinkin banks, funds, etc.) or an approved business innovation support organization and confirmed. (* 2) (3) Increase value added at an average annual growth rate of 3.0% to 4.0% (depending on the type of business) in 3 to 5 years after completion of the subsidy. or increase the value added per employee at an average annual growth rate of 3.0% to 4.0% or more (depending on the type of business). (* 3) (* 1) Each business type has its own eligibility requirements. For more information, see 4. Requirements for subsidized projects. (* 2) When implementing a subsidiary project funded by a financial institution, it is necessary to obtain confirmation of the project plan from the financial institution that provided the funding. For more information, see 4. Requirements for Subsidy Projects (2) [Requirements for Financial Institutions]. (3) Compound Annual Growth Rate (CAGR) is based on compounding. The same is true for other subsidy requirements.

[Open Period] Open: Friday, January 10, 2025 Application Accepted: Under Adjustment Application Deadline: Wednesday, March 26, 2025 18:00

In 2019, Cotton Embroidery exports reached a peak of 1.8K tons. From 2020 to 2023, exports remained at a lower level. In terms of value, Cotton Embroidery exports decreased slightly to $40M in 2023.

Global DHA Algae Oil 40 50 market size 2021 was recorded $479.1 Million whereas by the end of 2025 it will reach $621 Million. According to the author, by 2033 DHA Algae Oil 40 50 market size will become $1043.3. DHA Algae Oil 40 50 market will be growing at a CAGR of 6.7% during 2025 to 2033.

During the period analyzed, Prepared Binders exports reached a peak of 29K tons in 2022, but declined in the subsequent year. In terms of value, exports of Prepared Binders decreased to $40M in 2023.

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According to Cognitive Market Research, the global Color Resists market size will be USD 3514.6 million in 2024. It will expand at a compound annual growth rate (CAGR) of 4.00% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 1405.84 million in 2024 and will grow at a compound annual growth rate (CAGR) of 2.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 1054.38 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 808.36 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 175.73 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 70.29 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.7% from 2024 to 2031.
The color resist materials for LCD category is the fastest growing segment of the Color Resists industry

Market Dynamics of Color Resists Market

Key Drivers for Color Resists Market

Growth in the Semiconductor Industry to Boost Market Growth

Color resists play a vital role in the photolithography process, a cornerstone technology in semiconductor manufacturing. In 2020, global semiconductor sales reached a robust $440.4 billion. By 2021, sales surged by a record 26.2% to $555.9 billion, largely driven by increased demand fueled by the COVID-19 pandemic. Projections from industry sources, including the World Semiconductor Trade Statistics (WSTS), estimate that global semiconductor sales will rise significantly to between $618 billion and $633 billion in 2022. The growing demand for advanced electronics and miniaturized devices, such as smartphones, wearable technology, and IoT applications, is driving semiconductor production and, consequently, increasing the reliance on high-performance color resists.

Growth of the Electric Vehicle (EV) Industry to Drive Market Growth

Electric vehicles (EVs) depend significantly on advanced infotainment systems, head-up displays (HUDs), and digital dashboards, driving increased demand for color resists in automotive applications. In 2023, global electric car sales approached 14 million, with 95% occurring in China, Europe, and the United States. The total number of electric cars on the roads rose to 40 million in 2023, aligning closely with the projections of the Global EV Outlook (GEVO-2023). Sales in 2023 exceeded 2022 figures by 3.5 million, marking a 35% year-on-year growth and reflecting a sixfold increase compared to 2018. Weekly registrations in 2023 surpassed 250,000—a figure higher than the entire annual total a decade earlier in 2013. Electric cars accounted for 18% of total car sales in 2023, up from 14% in 2022 and just 2% in 2018. The global shift toward EVs, fueled by environmental regulations and growing consumer demand, offers significant long-term opportunities for color-resist manufacturers.

Restraint Factor for the Color Resists Market

High Production Costs Will Limit Market Growth

The production of high-quality color resists requires advanced equipment and stringent process controls, resulting in elevated production costs. Specialized chemicals and photoactive compounds used in manufacturing color resists often come with high costs, which can impact profitability and market growth. Continuous research and development to improve the performance of color resists adds to the overall expenditure, especially for small and medium-sized manufacturers. Many countries have strict regulations regarding volatile organic compounds (VOCs), which are commonly emitted during the production and use of color resists. Compliance with these regulations can increase costs and complexity. The disposal of chemical waste generated during manufacturing must adhere to stringent environmental laws, requiring additional investment in sustainable practices.

Impact of Covid-19 on the Color Resists Market

Global lockdowns and restrictions disrupted the supply chain for raw materials essential for color resists production, leading to production delays and increased costs. In the early phases of the pandemic,...

Venezuela: Arms exports, million constant U.S. dollars: The latest value from 2009 is 40 million U.S. dollars, an increase from 3 million U.S. dollars in 2008. In comparison, the world average is 540.87 million U.S. dollars, based on data from 45 countries. Historically, the average for Venezuela from 1969 to 2009 is 11.57 million U.S. dollars. The minimum value, 0 million U.S. dollars, was reached in 1987 while the maximum of 40 million U.S. dollars was recorded in 2009.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

The files in this collection consist of the improved genomic sequences, gene annotations, and evidence tracks that were used in the analyses described in the manuscript “Drosophilia Muller F Elements Maintain a Distinct Set of Genomic Properties Over 40 Million Years of Evolution” (doi: 10.1534/g3.114.015966). The improved genomic sequences and gene annotations were produced by students participating in the Genomics Education Partnership (GEP; http://gep.wustl.edu) during 2007–2012. This study seeks to understand the evolution of the Muller F element through the comparative analysis of Drosophila melanogaster, Drosophila erecta, Drosophila mojavensis, and Drosophila grimshawi. As part of this analysis, we have improved the genomic scaffolds from the D. mojavensis and D. grimshawi assemblies, and produced manual gene annotations for D. erecta, D. mojavensis, and D. grimshawi. The digital assets include the improved sequences and annotations in GenBank ASN.1 format, and the files required to create the UCSC Genome Browser instances for D. melanogaster, D. erecta, D. mojavensis, and D. grimshawi. The Genome Browser instances include the improved genomic sequences, gene annotations, and the results of the bioinformatics analyses described in the manuscript.