Gold rose to 3,885.77 USD/t.oz on October 3, 2025, up 0.77% from the previous day. Over the past month, Gold's price has risen 9.55%, and is up 46.48% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on October of 2025.

Silver rose to 47.97 USD/t.oz on October 3, 2025, up 2.08% from the previous day. Over the past month, Silver's price has risen 17.95%, and is up 49.05% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Silver - values, historical data, forecasts and news - updated on October of 2025.

Copper rose to 5.03 USD/Lbs on October 3, 2025, up 2.52% from the previous day. Over the past month, Copper's price has risen 11.76%, and is up 11.47% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Copper - values, historical data, forecasts and news - updated on October of 2025.

Rhodium fell to 7,075 USD/t oz. on October 3, 2025, down 0.35% from the previous day. Over the past month, Rhodium's price has fallen 2.08%, but it is still 49.74% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Rhodium - values, historical data, forecasts and news - updated on October of 2025.

Dataset of historical annual silver prices from 1970 to 2022, including significant events and acts that impacted silver prices.

Rhodium price data, historical values, forecasts, and news provided by Money Metals Exchange. Rhodium prices and trends updated regularly to provide accurate market insights.

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Second-Hand Fashion Dataset

Update Sep. 19th, 2024

• Some problematic and duplicate images have been removed from version 2.- All "gold dataset" data from station1 and station3 has been moved to a single test100 folder.- JSON errors have been fixed - all JSON files should be parsed correctly now.

The new dataset has 31,638 items (+ about 100 items in test100 folder) instead of the 31,997 items in version 2.

Overview

The dataset originates from projects focused on the sorting of used clothes within a sorting facility. The primary objective is to classify each garment into one of several categories to determine its ultimate destination: reuse, reuse outside Sweden (export), recycling, repair, remake, or thermal waste.

The dataset has 31,638 clothing items, a massive update from the 3,000 items in version 1. The dataset collection started under the Vinnova funded project "AI for resource-efficient circular fashion" in Spring, 2022 and involves collaboration among three institutions: RISE Research Institutes of Sweden AB, Wargön Innovation AB, and Myrorna AB. The dataset has received further support through the EU project, CISUTAC (cisutac.eu).

Project page

• Webpage: second-hand-fashion- Contact: farrukh.nauman@ri.se

Dataset Details

• The dataset contains 31,638 clothing items, each with a unique item ID in a datetime format. The items are divided into three stations: station1, station2, and station3. The station1 and station2 folders contain images and annotations from Wargön Innovation AB, while the station3 folder contains data from Myrorna AB. Each clothing item has three images and a JSON file containing annotations.

• Three images are provided for each clothing item: 1. Front view. 2. Back view. 3. Brand label close-up. About 4000-5000 brand images are missing because of privacy concerns: people's hands, faces, etc. Some clothing items did not have a brand label to begin with.

• Image resolutions are primarily in two sizes: 1280x720 and 1920x1080. The background of the images is a table that used a measuring tape prior to January 2023, but later images have a square grid pattern with each square measuring 10x10 cm.

• Each JSON file contains a list of annotations, some of which require nuanced interpretation (see labels.py for the options): - usage: Arguably the most critical label, usage indicates the garment's intended pathway. Options include 'Reuse,' 'Repair,' 'Remake,' 'Recycle,' 'Export' (reuse outside Sweden), and 'Energy recovery' (thermal waste). About 99% of the garments fall into the 'Reuse,' 'Export,' or 'Recycle' categories. - trend: This field refers to the general style of the garment, not a time-dependent trend as in some other datasets (e.g., Visuelle 2.0). It might be more accurately labeled as 'style.' - material: Material annotations are mostly based on the readings from a Near Infrared (NIR) scanner and in some cases from the garment's brand label. - Damage-related attributes include: - condition (1-5 scale, 5 being the best) - pilling (1-5 scale, 5 meaning no pilling) - stains, holes, smell (each with options 'None,' 'Minor,' 'Major'). Note: 'holes' and 'smell' were introduced after November 17th, 2022, and stains previously only had 'Yes'/'No' options. For station1 and station2, we introduced additional damage location labels to assist in damage detection:

    "damageimage": "back",
    "damageloc": "bottom left",
    "damage": "stain ",
    "damage2image": "front",
    "damage2loc": "None",
    "damage2": "",
    "damage3image": "back",
    "damage3loc": "bottom right",
    "damage3": "stain"
  
  Taken from `labels_2024_04_05_08_47_35.json` file. Additionally, we annotated a few hundred images with bounding box annotations that we aim to release at a later date.  - `comments`: The comments field is mostly empty, but sometimes contains important information about the garment, such as a detailed text description of the damage. 
  

• Whenever possible, ISO standards have been followed to define these attributes on a 1-5 scale (e.g., pilling).

• Gold dataset: 100 garments were annotated multiple times by different annotators for annotator agreement comparisons. These 100 garments are placed inside a separate folder test100.

• The data has been annotated by a group of expert second-hand sorters at Wargön Innovation AB and Myrorna AB.

• Some attributes, such as price, should be considered with caution. Many distinct pricing models exist in the second-hand industry: - Price by weight - Price by brand and demand (similar to first-hand fashion) - Generic pricing at a fixed value (e.g., 1 Euro or 10 SEK) Wargön Innovation AB does not set the prices in practice and their prices are suggestive only (station1 and station2). Myrorna AB (station3), in contrast, does resale and sets the prices.

Comments

• We received feedback on our version 1 that some images were too blurry or had poor lighting. The image quality has slightly improved, but largely remains similar to release 1. - Some users did not prefer a tar.gz format that we uploaded in version 1 of the dataset. We have now switched to .zip for convenience.- Extra care was taken not to leak personal information. This is why you will not see any entries for annotator attribute in the JSON files in station1/sep2023 since people used their real names. Since then, we used internally assigned IDs. - Many brand images contained people's hands, faces, or other personal information. We have removed about 4000-5000 brand images for privacy reasons. - Please inform us immediately if you find any personal information revelations in the dataset: - Farrukh Nauman (RISE AB): farrukh.nauman@ri.se, - Susanne Eriksson (Wargön Innovation AB): susanne.eriksson@wargoninnovation.se, - Gabriella Engstrom (Wargön Innovation AB): gabriella.engstrom@wargoninnovation.se.

We went through 100k images four times to ensure no personal information is leaked, but we are human and can make mistakes.

Partners

The data collection for this dataset has been carried out in collaboration with the following partners:

1. RISE Research Institutes of Sweden AB: RISE is a leading research institute dedicated to advancing innovation and sustainability across various sectors, including fashion and textiles.

2. Wargön Innovation AB: Wargön Innovation is an expert in sustainable and circular fashion solutions, contributing valuable insights and expertise to the dataset creation.

3. Myrorna AB: Myrorna is Sweden's oldest chain of stores for collecting clothes and furnishings that can be reused.

License

CC-BY 4.0. Please refer to the LICENSE file for more details.

Acknowledgments

This dataset was made possible through the collaborative efforts of RISE Research Institutes of Sweden AB, Wargön Innovation AB, and Myrorna AB, with funding from Vinnova and support from the EU project CISUTAC. We extend our gratitude to all the expert second-hand sorters and annotators who contributed their expertise to this project.

Abstract copyright UK Data Service and data collection copyright owner. The Going for Gold: the Intangible Effects of the 2012 Olympic Games in London, Paris and Berlin, 2011-2013 project measured the intangible impact of the 2012 Olympic Games in London, Paris and Berlin. It achieved this by gathering primary longitudinal data from individuals living in each of the three cities over the period 2011-2013 to see what effect, if any, the Olympics had on a comprehensive set of subjective well-being (SWB) outcomes. In particular, it uniquely showed how these outcomes relate to one another and change over time. Importantly for public policy, it also sheded light on the degree to which different components of SWB are predictive of changes in behaviour that policy-makers are concerned with (e.g. diet and physical activity). The survey research comprised three main elements: In Year 1 (2011): A mixed methodology approach (online/telephone), with a total 26,142 interviews achieved; In Year 2 (2012): A mixed methodology approach (online/telephone) following up all individuals interviewed in Wave 1 with a total of 14,838 interviews achieved; In Year 3 (2013): A mixed methodology approach (online/telephone) following up all individuals interviewed in in Wave 2 with a total of 9,282 interviews achieved. Individuals were interviewed using the same mode (either online or telephone) for each of the Waves they took part in. The sample consisted of individuals who live within the three metropolitan areas of London, Paris and Berlin. In order to maximise sample sizes, surrounding suburbs and region were included. The areas included in our sample are defined as follows: Greater London region, Paris Zone Urbaine and Berlin and Umland. The online survey was conducted using the Ipsos Interactive Services Panel (IIS). In London and Berlin, this was topped up with sample from other panel providers to maximise the sample size. The online sample was released on a rolling weekly basis in order to sustain a good level of response over time (equivalent to before, during and after the Olympic period in 2012). The study was designed to measure change in individuals living in each city, so the key consideration was maximising the number of successful interviews at each wave. Therefore no quotas were set for the online survey at Wave 1, or in subsequent waves. The online panel recruitment was supplemented with telephone interviews. For the three cities, the telephone sample was generated via random digit dialling (RDD). Loose quotas (+/- 30%) on age, gender and work status were set according to the population profile. Given that the quotas set were fairly broad, it should be noted that the survey cannot be considered as representative of the population. In London, the quotas were set according to the London broadband population whilst in Paris and Berlin they were set according to the general population. The online survey for the three cities was managed centrally by Ipsos MORI Interactive Services (based in London). The telephone fieldwork was managed by local agencies based in each city. The London telephone survey was conducted by Ipsos MORI Telephone Surveys which is a member of the Interviewer Quality Control Scheme (IQCS) and has Market Research Quality Standards Association (MRQSA) quality accreditation. In accordance with this, the field supervisor listened in to at least 10% of the interviews and checked the data entry on screen. The telephone fieldwork for Paris and Berlin was managed by local agencies: Ipsos France conducted the Paris telephone fieldwork and Social and Market Research (SMR) managed the fieldwork in Berlin. Our partner agencies locally abide by strict quality standards, with field supervisors listening in to calls and also back checking a number of interviews by calling a proportion of respondents immediately after the interview to check the data. Within Ipsos France, supervisors typically listen to 10% of the calls and back-check 10% of interviews. Our German partner also conducts these checks although they do not use a fixed proportion. All interviews were conducted using Computer Assisted Telephone Interviewing system (CATI). This project is innovative on a number of general scientific fronts. It is the first attempt to establish the impact of experiencing large-scale events on stated preferences from the same individuals over a number of time points and determine the direction of causality from the Olympics to intangible outcomes. Additionally, it is the first panel dataset across Europe, which includes both evaluative and experience measures of subjective well-being and health data. Further information about this project can be found on its' Gateway to Research webpage. Main Topics: Main topics covered include diet, physical activity, sports participation, and demographics. Multi-stage stratified random sample Telephone interview Web-based survey.

Gold Reserves in China increased to 2298.53 Tonnes in the second quarter of 2025 from 2292.31 Tonnes in the first quarter of 2025. This dataset provides - China Gold Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Brent rose to 64.35 USD/Bbl on October 3, 2025, up 0.37% from the previous day. Over the past month, Brent's price has fallen 3.94%, and is down 17.55% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Brent crude oil - values, historical data, forecasts and news - updated on October of 2025.

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Lithium traded flat at 73,550 CNY/T on September 30, 2025. Over the past month, Lithium's price has fallen 7.67%, and is down 3.86% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lithium - values, historical data, forecasts and news - updated on October of 2025.

LME Index rose to 4,462.20 Index Points on October 2, 2025, up 0.98% from the previous day. Over the past month, LME Index's price has risen 4.62%, and is up 3.96% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. LME Index - values, historical data, forecasts and news - updated on October of 2025.

Uranium fell to 81.20 USD/Lbs on October 2, 2025, down 2.29% from the previous day. Over the past month, Uranium's price has risen 6.07%, but it is still 1.22% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Uranium - values, historical data, forecasts and news - updated on October of 2025.

Gold Reserves in the United States remained unchanged at 8133.46 Tonnes in the second quarter of 2025 from 8133.46 Tonnes in the first quarter of 2025. This dataset provides - United States Gold Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Titanium fell to 48 CNY/KG on September 30, 2025, down 1.03% from the previous day. Over the past month, Titanium's price has fallen 2.02%, but it is still 9.09% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Titanium.

Gold Reserves in India increased to 880 Tonnes in the second quarter of 2025 from 879.60 Tonnes in the first quarter of 2025. This dataset provides - India Gold Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.