Existing Home Sales in the United States decreased to 3930 Thousand in June from 4040 Thousand in May of 2025. This dataset provides the latest reported value for - United States Existing Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

New Home Sales in the United States increased to 627 Thousand units in June from 623 Thousand units in May of 2025. This dataset provides the latest reported value for - United States New Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q2 2025 about sales, median, housing, and USA.

Pending Home Sales in the United States decreased 2.80 percent in June of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Pending Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Interest Rates, High Prices, and Inventory Shortage to Slow Down Housing Market

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

New Home Sales in Norway decreased to 11561 Units in June from 11701 Units in May of 2025. This dataset provides - Norway New Home Sales- actual values, historical data, forecast, chart, statistics, economic calendar and news.

As evidenced by recent survey results, the majority of asteroids are slow rotators (spin periods longer than 12h), but lack spin and shape models because of selection bias. This bias is skewing our overall understanding of the spins, shapes, and sizes of asteroids, as well as of their other properties. Also, diameter determinations for large (>60km) and medium-sized asteroids (between 30 and 60km) often vary by over 30% for multiple reasons. Our long-term project is focused on a few tens of slow rotators with periods of up to 60 h. We aim to obtain their full light curves and reconstruct their spins and shapes. We also precisely scale the models, typically with an accuracy of a few percent. We used wide sets of dense light curves for spin and shape reconstructions via light-curve inversion. Precisely scaling them with thermal data was not possible here because of poor infrared datasets: large bodies tend to saturate in WISE mission detectors. Therefore, we recently also launched a special campaign among stellar occultation observers, both in order to scale these models and to verify the shape solutions, often allowing us to break the mirror pole ambiguity. The presented scheme resulted in shape models for 16 slow rotators, most of them for the first time. Fitting them to chords from stellar occultation timings resolved previous inconsistencies in size determinations. For around half of the targets, this fitting also allowed us to identify a clearly preferred pole solution from the pair of two mirror pole solutions, thus removing the ambiguity inherent to light-curve inversion. We also address the influence of the uncertainty of the shape models on the derived diameters. Overall, our project has already provided reliable models for around 50 slow rotators. Such well-determined and scaled asteroid shapes will, for example, constitute a solid basis for precise density determinations when coupled with mass information. Spin and shape models in general continue to fill the gaps caused by various biases.

Key information about House Prices Growth

• US house prices grew 5.2% YoY in Dec 2024, following an increase of 5.4% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 1992 to Dec 2024, with an average growth rate of 5.4%.
• House price data reached an all-time high of 17.7% in Sep 2021 and a record low of -12.4% in Dec 2008.

These National Statistics provide monthly estimates of the number of residential and non-residential property transactions in the UK and its constituent countries. National Statistics are accredited official statistics.

England and Northern Ireland statistics are based on information submitted to the HM Revenue and Customs (HMRC) Stamp Duty Land Tax (SDLT) database by taxpayers on SDLT returns.

Land and Buildings Transaction Tax (LBTT) replaced SDLT in Scotland from 1 April 2015 and this data is provided to HMRC by https://www.revenue.scot/" class="govuk-link">Revenue Scotland to continue the time series.

Land Transaction Tax (LTT) replaced SDLT in Wales from 1 April 2018. To continue the time series, the https://gov.wales/welsh-revenue-authority" class="govuk-link">Welsh Revenue Authority (WRA) have provided HMRC with a monthly data feed of LTT transactions since July 2021.

LTT figures for the latest month are estimated using a grossing factor based on data for the most recent and complete financial year. Until June 2021, LTT transactions for the latest month were estimated by HMRC based upon year on year growth in line with other UK nations.

LTT transactions up to the penultimate month are aligned with LTT statistics.

Go to Stamp Duty Land Tax guidance for the latest rates and information.

Go to Stamp Duty Land Tax rates from 1 December 2003 to 22 September 2022 and Stamp Duty: rates on land transfers before December 2003 for historic rates.

The latest release was published 09:30 31 July 2025 and was updated with provisional data from completed transactions during June 2025.

The next release will be published 09:30 29 August 2025 and will be updated with provisional data from completed transactions during July 2025.

https://webarchive.nationalarchives.gov.uk/ukgwa/20240320184933/https://www.gov.uk/government/statistics/monthly-property-transactions-completed-in-the-uk-with-value-40000-or-above" class="govuk-link">Archive versions of the Monthly property transactions completed in the UK with value of £40,000 or above are available via the UK Government Web Archive, from the National Archives.

Average House Prices in the United States decreased to 501000 USD in June from 522200 USD in May of 2025. This dataset includes a chart with historical data for the United States New Home Average Sales Price.

In recent years, there has been a push to understand how chemical composition affects the magnetic activity levels of main sequence low-mass stars. Results indicate that more metal-rich stars are more magnetically active for a given stellar mass and rotation period. This metallicity dependence has implications for how the rotation periods and activity levels of low-mass stars evolve over their lifetimes. Numerical modelling suggests that at late ages more metal-rich stars should be rotating more slowly and be more magnetically active. In this work, we study the rotation and activity evolution of low-mass stars using a sample of Kepler field stars. We use the gyro-kinematic age dating technique to estimate ages for our sample and use the photometric activity index as our proxy for magnetic activity. We find clear evidence that, at late ages, more metal-rich stars have spun down to slower rotation in agreement with the theoretical modeling. However, further investigation is required to definitively determine whether the magnetic activity evolution occurs in a metallicity dependent way.

We present an analysis of the light curve (LC) decline rates ({DELTA}m_15_) of 407 normal and peculiar supernovae (SNe) Ia and global parameters of their host galaxies. As previously known, there is a significant correlation between the {DELTA}m_15_ of normal SNe Ia and global ages (morphologies, colours, and masses) of their hosts. On average, those normal SNe Ia that are in galaxies from the Red Sequence (early-type, massive, old hosts) have faster declining LCs in comparison with those from the Blue Cloud (late-type, less massive, younger hosts) of the colour-mass diagram. The observed correlations between the {DELTA}m_15_ of normal SNe Ia and hosts' parameters appear to be due to the superposition of at least two distinct populations of faster and slower declining normal SNe Ia from older and younger stellar components. We show, for the first time, that the {DELTA}m_15_ of 91bg- and 91T-like SNe is independent of host morphology and colour. The distribution of hosts on the colour-mass diagram confirms the known tendency for 91bg-like SNe to occur in globally red/old galaxies, while 91T-like events prefer blue/younger hosts. On average, the youngest global ages of 02cx-like SNe hosts and their positions in the colour-mass diagram hint that these events likely originate from young population, but they differ from 91T-like events in the LC decline rate. Finally, we discuss the possible explosion channels and present our favoured SN Ia models that have the potential to explain the observed SN-host relations.

Through their delivery of water and organics, near-Earth objects (NEOs) played an important role in the emergence of life on our planet. However, they also pose a hazard to the Earth, as asteroid impacts could significantly affect our civilization. Potentially hazardous asteroids (PHAs) are those that, in principle, could possibly impact the Earth within the next century, producing major damage. About 1600 PHAs are currently known, from an estimated population of 4700+/-1450. However, a comprehensive characterization of the PHA physical properties is still missing. Here we present spectroscopic observations of 14 PHAs, which we have used to derive their taxonomy, meteorite analogs, and mineralogy. Combining our results with the literature, we investigated how PHAs are distributed as a function of their dynamical and physical properties. In general, the ''carbonaceous'' PHAs seem to be particularly threatening, because of their high porosity (limiting the effectiveness of the main deflection techniques that could be used in space) and low inclination and minimum orbit intersection distance (MOID) with the Earth (favoring more frequent close approaches). V-type PHAs also present low MOID values, which can produce frequent close approaches (as confirmed by the recent discovery of a limited space weathering on their surfaces). We also identified those specific objects that deserve particular attention because of their extreme rotational properties, internal strength, or possible cometary nature. For PHAs and NEOs in general, we identified a possible anti-correlation between the elongation and the rotational period, in the range of P_rot_~5-80hr. This would be compatible with the behavior of gravity-dominated aggregates in rotational equilibrium. For periods >~80-90hr, such a trend stops, possibly under the influence of the YORP effect and collisions. However, the statistics is very low, and further observational and theoretical work is required to characterize such slow rotators.

In 2019 a new soil core initiative focusing on carbon and nitrogen pools was implemented in the GeoBasis Zackenberg program. Two plots of 10 by 10 meters were allocated for the sampling of 20cm soil cores + aboveground biomass, one on the heath and one in the fen. From each plot five soil cores were taken and labelled according to the system: location (Fen/Heath) + number of core (1-10, were 1-5 were sampled in the Fen and 6-10 on the heath). The aboveground biomass samples, where 10 by 10cm. In the fen the diameter of the soil cores was 5.2cm and on the heath 2.7cm. The diameter of the cores were a compromise between what was practically possible and a wish for minimum impact, as these arctic ecosystems have a relatively slow recovery. The cores were kept intact and immediately frozen. The cores were brought to the lab at Department of Geosciences and Natural Management, where they were defrosted and separated into 8 different pools: Leaf, Litter, Stem, Moss, Roots from 0-5cm (0 being Soil properties:Soil properties GeoBasis Zackenberg:The GeoBasis monitoring programme focuses on selected abiotic characteristics in order to describe the state of Greenlandic terrestrial environments and their potential feedback effects in a changing climate. Monitored plot data is up-scaled to a landscape level and is used to improve ecosystem models to be able to quantify these feedback mechanisms. The GeoBasis programme provides an active response to recommendations in international assessments such as ACIA and SWIPA; and is continuously being adapted based on AMAP and other international founded recommendations. Furthermore, the GeoBasis programme is directly involved in several international networks and research projects (e.g. the Circumpolar Active Layer Monitoring (CALM) programme, the Nordic Centre of Excellence DEFROST, the Danish Centre of Excellence CENPERM, the EU-projects PAGE21 and INTERACT, and the Arctic Research Centre at Aarhus University). The GeoBasis programme is divided into a number of sub-groups, including:

House Price Index YoY in the United States decreased to 2.80 percent in May from 3.20 percent in April of 2025. This dataset includes a chart with historical data for the United States FHFA House Price Index YoY.

This statistic depicts the sales of the H&M Group worldwide from 2006 to 2024. In the fiscal year 2024, global net sales of the H&M Group amounted to about 234 billion Swedish kronor. H&MH&M offers a broad and varied range of fashion including collections for women, men, teenagers and children. The range also includes sportswear, underwear, shoes, accessories and cosmetics, as well as home textiles and decorations from H&M Home.Germany is H&M's largest market. In 2024, over 35 billion Swedish kronor were generated from that country alone. The company operates roughly 4,253 stores worldwide and employs approximately 97,710 people. H&M dropped out of the top ten most valuable apparel brands in the world as of 2023.H&M aims to be a more sustainable choice for today’s increasingly aware customers. To this end, H&M’s investments in social improvements and reduced environmental impact extend throughout the product life cycle – from responsible use of natural resources to ensuring good working conditions at suppliers’ factories. Sustainability work is thoroughly integrated into the business, not only because it is an investment in the customer offering,but also because it is vital to the group’s long-term growth and development. However, there have been questions raised as to how effective and trustworthy H&M's sustainability practices really are.

The fact that the rotation periods of Ap stars span five to six orders of magnitude and that the longest ones reach several hundred years represents one of the main unsolved challenges of stellar physics. Our goal is to gain better understanding of the occurrence and properties of the longest period Ap stars. We obtained high resolution spectra of a sample of super-slowly rotating Ap (ssrAp) star candidates identified by a TESS photometric survey to confirm that they are indeed Ap stars, to check that their projected equatorial velocities are compatible with super-slow rotation, and to obtain a first estimate of their magnetic field strengths. For the confirmed Ap stars, we determined whenever possible their mean magnetic field modulus, their mean quadratic magnetic field, and an upper limit of their projected equatorial velocities. Eighteen of the 27 stars studied are typical Ap stars; most of the other nine appear to be misclassified. One of the Ap stars is not a slow rotator; it must be seen nearly pole-on. The properties of the remaining 17 are compatible with moderately to extremely long rotation periods. Eight new stars with resolved magnetically split lines in the visible range were discovered; their mean magnetic field modulus and their mean quadratic magnetic field were measured. The mean quadratic field could also be determined in five more stars. Five spectroscopic binaries containing an Ap star, which were not previously known, were identified. Among the misclassified stars, one double-lined spectroscopic binary with two similar, sharp-lined Am components was also discovered. The technique that we used to carry out a search for ssrAp star candidates using TESS data is validated. Its main limitation appears to arise from uncertainties in the spectral classification of Ap stars. The new magnetic field measurements obtained as part of this study lend further support to the tentative conclusions of our previous studies: the absence of periods P_rot_>~150d in stars with B_0_>~7.5kG, the lower rate of occurrence of super-slow rotation for field strengths B_0_<~2kG than in the range ~3kG<B_0_<~7.5kG, and the deficiency of slowly rotating Ap stars with (phase-averaged) field strengths between ~2 and ~3kG.

Plan name

D1.2_POLIS_MSCA-IF-661429_DMP

ID

D1.2

Grant number

661429 - POLIS - H2020-MSCA-IF-2014

Project number

661429

Project acronym

POLIS

Project title

Studying the bricks of microbial cities: characterization and structural properties of exopolysaccharides and their interaction with proteins and cations in anammox granular sludge

Call (part) identifier

H2020-MSCA-IF-2014

Topic

MSCA-IF-2014-EF

Marie Skłodowska-Curie Individual Fellowships (IF-EF)

Fixed EC Keywords

Environmental biotechnology, bioremediation, biodegradation

Free keywords

anammox, granular sludge, biofilm, exopolymeric substances, exopolysaccharides, EPS, rheology, exopolymeric proteins, mono-divalent cations

Beneficiary

Polytechnic University of Milan (PIC: 999879881)

Department

Department of Civil and Environmental Engineering (DICA)

Supervisor

Prof. Francesca Malpei

Principal Investigator/Researcher

Ing. Tommaso Lotti, PhD

Principal Investigator/Researcher ID

http://orcid.org/0000-0003-0379-4822

Plan data contact

tommaso.lotti@polimi.it; francesca.malpei@polimi.it

Project description

This research project is in the context of environmental engineering, in particular in the field of wastewater treatment, more specifically focused on biofilm-based innovative technologies for nitrogen removal. The anaerobic ammonium oxidation (anammox) bacteria are recently discovered players of the biogeochemical nitrogen cycle. The bioprocess based on anammox metabolism is an innovative technology for the removal of nitrogen from municipal and industrial wastewaters allowing important savings on operational costs due to the requirement of 60% less oxygen (aeration), no need for organic carbon and the production of 90% less excess sludge, compared with conventional nitrogen removal technologies. Its potential application to municipal wastewater (sewage) would allow a complete redesign of the present energy-consuming into an energy-yielding sewage treatment plant. Due to the slow growth rate of anammox bacteria, their retention in the system is one of the main concern for process stability. This is the reason why in most of the different anammox-based technologies currently applied, anammox bacteria are cultivated in the form of biofilm and in particular in the form of self-aggregating biofilm (i.e. granular sludge). Biofilm stability is closely related to the properties of the extracellular polymeric substances (EPS) constituting the matrix in which microorganisms live and grow. EPS are high-molecular weight compounds secreted by microorganisms establishing the functional and structural integrity of biofilms, and are considered the fundamental component that determines the physiochemical properties of a biofilm. EPS are mostly composed of polysaccharides and proteins, but also include other macro-molecules such as DNA, lipids and humic substances. The aim of the present research was to investigate the structural components of anammox EPS matrix unrevealing the mechanisms involved in anammox biofilm (specifically granular sludge) formation and stability. Several extraction methods were tested to evaluate the extraction yield and the total carbohydrates/protein content. Mass spectrometry (e.g. MALDI MS) was used to investigate functional EPS and their fine structures, with special focus on hydrogel and film forming components. Rheometric analysis were used to evaluate the viscoelastic characteristics of anammox granular sludge in comparison with the hydrogel (potentially) formed by extracted EPS and their interaction with mono/divalent-cations. Microscopy techniques (mainly AFM, SEM) were used to image the morphology of the extracted biopolymer and the film structure.

Considering that excess sludge is currently one of the main waste products of wastewater treatment facilities, the recovery of a bio-based polymer and its application in other industrial sectors would contribute to the transition towards a circular economy fostering sustainable economic growth. The results of the present research could identify the potential applications of a bio-based polymer recovered from excess biofilm sludge based on its properties.

Open access to scientific publications and underlying data

Scientific peer-reviewed publications such as journal articles will be deposited upon publication in Zenodo repository (https://zenodo.org/), an OpenAIRE/CERN repository. The deposition of the research data needed to validate the results presented in the deposited scientific publications ('underlying data') will be evaluated from time to time by the Researcher (Ing.Tommaso Lotti, PhD) and the Supervisor (Prof.Francesca Malpei) along the project development according to the approach of the European Commission “as open as possible, as closed as necessary”. The research data decided to be open up will be organized in separate data sets. For the description of each data set and the relative depositing procedure, the reader is referred to the “DATA SETS” section below. The list of openly shared data sets will be updated and/or modified whether necessary during the time course of the project.

DATA SETS

Data set name

POLIS_MSCA-IF-661429_DATASET-1

Data set description

Different protocols used to extract structural EPS from anammox sludge.

EPSs were extracted from freeze-dried anammox granules (originating from the full-scale anammox reactor of the wastewater treatment plant of Rotterdam, Sluisjesdijk-Dokhaven) by the following methods: ultrasonication, heating with Na₂CO₃, cations exchange resin, ethylenediaminetetraacetic acid (EDTA), NaOH, formamide with NaOH, formaldehyde with NaOH, sulfuric acid.

The extraction efficiency of each protocol was evaluated by the following parameters:

- Extraction yield evaluated by gravimetric analysis

- Carbohydrates and protein equivalent content of the EPS resulting from different extraction protocols

Tests were conducted in triplicates. Dataset will be presented in the form of tables and saved in pdf format with the name “POLIS_MSCA-IF-661429_DATASET-1.pdf”.

Standards and metadata

Extraction protocols were derived from biofilm literature and in particular from biofilm systems applied in the field of wastewater treatment.

Gravimetric analysis according to American Public Health Association (APHA), Standard Methods for the Examination of water and Wastewater (2005). Data are expressed as milligrams of extracted-EPS dry weight per gram of volatile suspended solids (VSS) of the original biofilm (mg-EPS/g-VSS).

Total carbohydrate content was determined by a phenol-sulphuric acid assay with D-glucose used as standard (Dubois et al., 1956). Data are expressed as milligram of total carbohydrates as D-glucose equivalent per gram of extracted-EPS dry weight (mg/g-EPS).

Protein content was measured by the biconchoninic acid (BCA) protein assay with bovine serum albumin (BSA) used as standard (Interchim Uptima BC assay quantitation kit). Data are expressed as milligram of total proteins as BSA equivalent per gram of extracted-EPS dry weight (mg/g-EPS).

To the best of author knowledge Metadata standards are missing in this particular field. Therefore, our results were reported using acronym and units of measurements according to the most renowned journals in the field (e.g. Water Research, Environmental Science and Technology, Bioresource Technology, etc.). In order to facilitate data sharing and use, metadata describing the nomenclature used for the storage of research data is given in a separate text file named "DATASET-1_metadata" in .pdf format. The file " DATASET-1_metadata" contains the list of acronyms and symbols used for data presentation as well as the description of the materials and methods used during the experimental phase.

Data sharing

A selection of research data will be deposited, upon publication of the scientific publication reporting the elaborated research data, in Zenodo repository (https://zenodo.org/), an OpenAIRE/CERN repository. Zenodo provides to each data set a persistent identifier (DOI).

Peer-reviewed scientific publications will be deposited in self archiving/green "OA" repositories such as Tommaso Lotti's page on ResearchGate (https://www.researchgate.net/profile/Tommaso_Lotti) and Polytechnic University of Milan institutional self-archiving system (https://re.public.polimi.it/).

Research data as well as scientific publications and conference papers are available upon request via e-mail.

Data set name

POLIS_MSCA-IF-661429_DATASET-2

Data set description

Matrix-assisted laser desorption/ionization (MALDI) is a soft ionization technique used in mass spectrometry, allowing the analysis of biomolecules such as biopolymers. MALDI methodology is a three-step process. First, the sample is solubilized in a solvent, mixed with a suitable matrix material and applied to a metal plate. Second, a pulsed laser irradiates the sample, triggering ablation and desorption of the sample and matrix material. Finally, the analyte molecules are ionized

This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Prince Edward Island; Nova Scotia; Newfoundland and Labrador ...), Housing estimates (3 items: Housing starts; Housing under construction; Housing completions ...), Type of unit (6 items: Total units; Semi-detached; Single-detached; Multiples ...).