Paleoclimatology is the study of ancient climates, prior to the widespread availability of instrumental records. Paleoclimatologists study several different types of environmental proxy evidence to understand what the Earth’s past climate was like and why.
Paleoclimate proxies and reconstructions used to understand the Earth’s past climate.
Finding the paleoclimate data you need among the greater than thirteen thousand studies, covering the globe and freely available online, just got easier. With our new web service, you can search for data across a wide range of proxy types and climate reconstructions. The new service integrates all of the capabilities of our previous search mechanisms, allowing them to be used together in new and powerful ways, and in conjunction with logical operators.
Geographic coverage of World Data Service for Paleoclimatology data.
There are multiple ways to search for relevant data: input a search term into the general search text box, select a data type from the menu, narrow your selections in the advanced search feature, or use all these capabilities together. The search automatically builds an application programming interface for you based on your search criteria that you can then reuse in the future. After inputting your search criteria, the results will be populated with all relevant studies, as well as providing an overview of the metadata that links to any additional data and information.
A new feature is a section of the site that hosts predefined searches paleoclimatology scientists have found most useful in the past. You'll be able to select one or multiple data types, such as ice cores or corals, from the list assembled by scientists, and the search will produce the most relevant and noteworthy studies related to that topic. In addition, the predefined searches page enables you to jointly query by location and data type. You’ll also be able to search through every study related to a specific data type, with user-friendly columns that allow you to easily sort through the studies.
Using the new web service can help you discover information on topics such as: • Finding common years of great drought or wetness across specific regions • Coral records related to El Niño occurrences • Air temperature reconstructions
The World Data Service for Paleoclimatology archives and distributes data contributed by thousands of scientists around the world. We highly appreciate their long-lasting contributions of data submission, and our collaborations with them. To contact the World Data Service for Paleoclimatology, please email: firstname.lastname@example.org.
Changes in glaciers provide some of the clearest evidence of climate change, and as such they constitute key indicators and unique demonstration objects of ongoing climate change. Beside this scientific aspect, glacier changes have an impact on local hazard situations, regional water cycles, and global sea level.
The Global Terrestrial Network for Glaciers (GTN-G) is the framework for the internationally coordinated monitoring of glaciers in support of the United Nations Framework Convention on Climate Change. Within GTN-G, the World Glacier Monitoring Service affiliated at the University of Zurich, Switzerland (WGMS, WDS Regular Member)—which celebrated its 30th anniversary last year—is responsible for the collection and documentation of glacier fluctuations such as annual mass balances and length changes.
Figure 1: Mean annual mass balance of reference glaciers.
Latest mass balance data of the hydrological period 2014/15 and preliminary estimates for 2015/16 indicate continued strong ice losses. In fact, after 2002/03, 2014/15 is the second most negative year since the beginning of the monitoring program at WGMS (as shown in Fig. 1 for glaciers with long, continuous measurement programmes; the so-called 'reference glaciers'). This value is negative despite most of the glaciers in Norway and Iceland, as well as the few that are monitored in New Zealand and Antarctica, showing positive balances in the corresponding year (see Table 3 on this page). Since 1999/00, WGMS has already documented four years with a global mean ice thickness loss of more than 1000 millimetre water equivalent (mm w.e.). These new data show a continuation in the global trend of strong ice losses over the past few decades, and bring the cumulative average thickness loss since 1980 of the reference glaciers to almost 20.000 mm w.e.
Figure 2. Training course on glacier mass balance in La Paz, Bolivia (Photo: M. Zemp)
Upcoming challenges in glacier monitoring are very much related to the disintegration and vanishing of glaciers. Some of the glaciers under monitoring programmes disintegrate into several parts, while others—such as the Lewis Glacier on Mount Kenya—completely disappear. These issues demand continuous adaptation of monitoring strategies on both a local and global level. This is one reason why WGMS organizes training courses for Principal Investigators who perform glacier measurements and deliver their glacier data to WGMS. The last training course was held in 2016, with participants from Latin America (Mexico, Colombia, Ecuador, Peru, Bolivia, Chile, and Argentina) joining who are involved in ongoing mass balance programmes in their region (see Fig. 2). These participants were trained in both fieldwork and data analysis by an international team of experts in glacier monitoring and capacity building.
Our work relies on the cooperation and help of many scientists and observers throughout the world. We highly appreciate their long-lasting contributions in collaboration with our National Correspondents coordinating the collection of data in their country for submission to WGMS.
A Blog post by Lorrie Apple Johnson (WorldWideScience Alliance Operating Agent)
The WorldWideScience Alliance is a strategic partnership between national and international libraries and data and information centres from around the world. The ICSU World Data System and the WorldWideScience Alliance share reciprocal Associate Memberships, and both organizations are committed to eliminating barriers associated with finding and sharing scientific and technical information, including scientific research data. The Alliance provides the governance structure for the global science gateway, WorldWideScience.org (WWS.org), which facilitates federated searching across over 100 scientific and technical databases from more than 70 countries. The WDS Data Portal is among the data collections searched by WWS.org, along with 14 other resources focussed on data, and the Alliance is actively seeking new data resources and partners.
The federated search technology employed by WWS.org offers users a number of distinct advantages, including the ability to perform a real-time, simultaneous search of multiple databases, some of which may not be indexed by typical search engines. Users receive a consolidated, relevance-ranked results list incorporating information in textual, multimedia, and scientific data formats. Multilingual translations capabilities are automatically performed in ten languages, which makes scholarly material, including scientific data, more accessible to a worldwide audience.
The ability to search data collections within WWS.org also addresses many of the challenges associated with discoverability of research data. For example, unless a user is familiar with a particular data centre, or knows that a specific dataset exists, it can be difficult to identify and locate scientific data; especially those outside of the researcher’s own discipline or speciality. WWS.org enables users to receive data results in a separate results tab, and upon selecting a specific result, users will be directed to the landing page at the originating source, which in turn makes the data accessible for viewing or downloading. The inclusion of data collections in WWS.org, particularly as part of the broader public access movement among government research funders in many countries, further expands access to Research and Development results during the full research lifecycle, and ultimately contributes to increased scientific collaboration and progress.
The WorldWideScience Alliance is eager to include new resources in WWS.org, and feedback is always welcome.
A Blog post by Guoqing Li (WDS Scientific Committee member)
On 25–26 August of 2016—two weeks before SciDataCon 2016 took place in Denver, USA—the Third China Scientific Data Conference was held in Shanghai, China. As can be understood from its abbreviation of SciDataCon-China, this Chinese-speaking conference is the national-level platform for communication about scientific data; just as SciDataCon, hosted by ICSU’s World Data System (ICSU-WDS) and Committee on Data for Science and Technology (CODATA), is at the international level.
2016 SciDataCon-China was co-hosted by Fudan University, which houses the first Data Science Laboratory to be set up in China. Greater than 380 experts, scholars, and students from universities, institutes, companies, and governmental agencies gathered in the Zhangjiang Campus of Fudan University to attend in excess of 20 breakout sessions over the two days. Although the number of participants was slightly fewer than the 400 who attended the Second SciDataCon-China in 2015, oral reports significantly increased to more than 160 from around 100 last time, making it the leading scientific data conference in China.
Different from the Information Sciences approach, SciDataCon-China has kept a domain-oriented emphasis as a primary principle from its beginnings. Breakout sessions mostly served the multidisciplinary community, covering such diverse fields as Materials Science, Astronomy, Space Science, Geography, Ecology, Earth Observation Science, Marine Science, Smart Cities, Precision Medicine, and Agriculture, as well as the management, analysis, and visualization of scientific Big Data.
SciDataCon-China is not only a communication platform for domain scientists and information scientists, but also a dialogue platform for scientific communities and decision-makers. Consecutive sessions on data policy, funding policy, and large-grant programme management were jointly held by the Ministry of Science and Technology and the Chinese Academy of Sciences. An important conclusion of the conference was that the opening and sharing of scientific data should be supported mainly through national finances; in particular, because scientific data can help to accelerate the construction of national innovation capacity.
A session by WDS-China has been a regular and popular feature of each SciDataCon-China since its conception. On this occasion, greater than 40 experts from 7 Chinese WDS Members were at the WDS-China session alongside numerous attendees from local data centres. Discussions and reports focussed on the topics of the maintenance and future development of Chinese WDS Member Organizations, the sustainability of national scientific data centres, creating a uniform metadata service within WDS-China, the long-term preservation of published data, and so on.
Under the oversight of the WDS Scientific Committee, and supported by the WDS International Programme Office, WDS-China and WDS-Japan are now working together to realize the inaugural WDS Asia-Pacific Symposium: a regional communication platform for scientific data. Thus, there will be a seamless transition of WDS communications from the national, through the regional, to the international level.
Researchers who specialize in a particular Earth Science discipline (seismology, geomagnetism, gravimetry, geochemistry, geology, etc.) cannot fully describe the history and crustal structure of a region of the globe using ONLY their specific research field. They often need to consult a large number of references and databases from other research domains. Interdisciplinary studies are still hampered by the necessity for researchers to document themselves effectively with many ‘external/foreign’ contributions, and to have colleagues in these fields who are willing to collaborate.
Of course, many efforts have been made to group datasets, mainly by discipline, and make them available to the greatest number in a trusted database. However, interdisciplinary approaches still remain a matter of exception. Good ideas are sometimes dismissed simply because of life: difficulty in easily finding a reliable data source understandable to a non-specialist, trouble in speaking the same language as the scientific colleague of the other discipline, lack of time,…
The greatest advances in Earth sciences were made using transdisciplinary collaborations. We say often that ‘the data noise of one proves to be useful information to another’ and vice versa. This is true even within the same discipline; indeed in geomagnetism: for one magnetic field measurement, the inner part interests the main-field modeller, while its ‘noise’ contains the ionospheric field studied by an ionospheric physicist.
Over the last decades, considerable advances in information technology have made an integrated approach possible, easing access to the tremendous amount of data and products available across the Earth Sciences and related fields. Large multidisciplinary projects are initiated to facilitate integrated use of data, data products, and tools from distributed research infrastructures for Solid-Earth science in Europe.
In this matter, EPOS—the European Plate Observing System1—is currently one of the most exciting under-development, long-term integration project in Europe. EPOS strategy is not to erase all that was previously done, but to integrate existing national or transnational structures (e.g., seismic and magnetic permanent monitoring networks, and analytical laboratories) and to develop a new interoperabillity layer that will be seen as a common interface.
Long-standing existing structures (National, European, or International services and data centres), together with newly developed databases (for less centralized/organized disciplines), will be virtually gathered into a central hub of which the key functions will be: an Application Programming Interface, a metadata catalogue, a system manager, and services that will enable data discovery, interactions with users, as well as access, download and integrate data2.
Data will be made available from the Solid-Earth Science disciplines that each community deals with, such as seismology, geomagnetism, geodesy, volcanology, geology and surface dynamics, analytical and experimental laboratory research, rock physics and petrology, and satellite information. Available data will be quality controlled according to the appropriate standards as defined by each of the disciplinary data providers.
For pre-existing entities, their visibility will be enhanced. For new structures, their creation will help the community to consolidate scattered data that are hidden and distribute them in a uniform database. For researchers in the Solid-Earth Sciences, EPOS will facilitate innovative cross-disciplinary approaches for a better understanding of the physical processes and the driving forces involved (a seismologist will get access to trusted magnetic anomaly maps; a gravimetrician will be able to use reliable strain rate maps from the Global Navigation Satellite System community to compare with their own results). From a societal point of view, EPOS will enable scientists to better inform governments and society on natural hazards, such as earthquakes, volcanic events, tsunamis, and major land movements.
EPOS is in its implementation phase. By 2018, EPOS is expected to be a legal entity: the EPOS ERIC (European Research Infrastructure Consortium).
Hello! I am a Professor in a School of Public Health who directs an Institute in Risk Analyses and Risk Communication, and in that role I am frequently asked questions on current health risks. The recent Zika epidemic is a significant example of such a request, and provides an opportunity to illustrate use of databases to answer risk assessment questions for this emergent issue.
In risk assessment for Zika virus, we are interested in identifying specific health impacts—including potential birth defects—that may be associated with exposure. We are also interested in the potency of the virus, duration of infection, and whether the duration of the infection relates to the severity of the health impacts. In this post, we pose the question: what databases and data sources exist for us to examine this epidemic but also to be prepared for potential future epidemics? I share with you example databases that I used to answer these questions in a recent journal club. I have also included a series of comments and conclusions about the utility of these databases for risk assessment questions.
Background on Zika Virus
I’d like to start by providing a little background on Zika virus, as one critical step in risk assessment is hazard identification and characterization. Though Zika virus was first discovered in 1947 in Africa, the first large epidemic was not reported until 2007 in the Pacific Island of Yap (Al- Qahtani et al. 2016). Since then, outbreaks have been reported in French Polynesia (2013), and Brazil and surrounding countries (Chang et al. 2016). The first case of Zika virus in Brazil was reported in May of 2015. Currently, 30 countries in the Americas have reported active cases of Zika virus. Though Zika is usually transmitted through the bite of a mosquito from the Aedes genera (Aedes albopictus and Aedes aegypti), it can also be spread through sexual activities and intravenous infection, such as blood transfusions. For most healthy individuals, infection can lead to mild flu-like symptoms or even be asymptomatic. However, infection (both symptomatic and asymptomatic) during pregnancy can lead to irreparable birth defects that severely impair child development (Kleber de Oliveira et al. 2016).
The most common birth defect associated with Zika virus exposure during pregnancy is microcephaly (Rasmussen et al. 2016). The basic definition of microcephaly is 'the clinical finding of a small head compared with infants of the same sex and gestational age' (CDC 2016). Problematically, there is no universally accepted definition of microcephaly; thus, when tracking cases of microcephaly and Zika viruses across healthcare providers, provinces, states, countries, and regions, the criteria employed can be drastically different. Inconsistencies in data collection techniques frequently limit the ability of Public Health professionals to accurately identify and predict Zika-induced microcephaly cases. To add further complications, microcephaly is not unique to Zika infection, but can be caused by a number of environmental and viral exposures, such as toxicoplasmosis, rubella, cytomegalovirus, herpes, HIV, Syphilis, mercury, alcohol, radiation, as well as genetic and maternal health conditions including poorly controlled material diabetes and hyperphenylalaninemia (CDC 2016).
Figure 1: Visual representation of microcephaly (CDC 2016)
This fast spreading epidemic demonstrates the need for access to global databases tracking the spread of mosquito species, infections, and birth defects, both under current and future climate conditions. Next, I will describe databases and data sources relevant to tackling this multifaceted global health risk.
Mosquitos: Because Zika virus is a vector-born infection, tracking the distribution of both Aedes albopictus and Aedes aegypti under current and future climate conditions will be critical to combating seasonal outbreaks, preventing the geographical spread of current outbreaks, and developing long-term strategic interventions to interrupt the vector-host pathway. HealthMap provides an excellent resource for tracking and predicting the spread of Zika virus with up-to-date interactive maps that show the distributions of both mosquito species and Zika infections on a global scale. Through an automated system, HealthMap updates distributions on a daily basis and provides convenient interfaces in nine different languages. Because the Zika epidemic has spread at such an alarming rate, the availability of data in real-time is critical. In addition to Zika cases, HealthMap also tracks Yellow Fever, West Nile Virus, and Chikungunya, which are related to Zika virus. By co-tracking these better characterized viruses, we may be able to translate lessons learned into Zika research and prevention. The Centers for Disease Control and Prevention (CDC) also tracks mosquito distributions in the United States. These ranges show that while Aedes aegypti distributions are primarily in the southern region of the United States, the Aedes Allopictus distribution reaches as far north as New Hampshire, and extends into the mid-west, reaching Minnesota. While this does not mean that Zika will spread in all of these areas, knowing mosquito distribution patterns can help communities prepare and mitigate risks.
Figure 2: HealthMap shows the distribution of Zika (purple dots) along with the distribution of Aedes aegypti, available here.
As the global climate changes, mosquito distributions are predicted to expand. Many options exist for predicting mosquito distribution changes alongside increased temperatures and changes in global precipitation patterns (see resources below). Many of these programs have been optimized to describe the changes in malaria infections (e.g., Medlock et al. 2015). By translating lessons learned from malaria surveillance programs that predict changes in disease related to climate change, this will be relevant for Zika epidemic prediction.
Zika Infections: Both the World Health Organization (WHO) and CDC are actively tracking global cases of Zika virus. However, because infection can be mild or asymptomatic, it is expected that these may be underestimates. Additionally, Zika infections occurring in underserved communities may go unreported due to lack of access to healthcare.
Figure 3: Distribution of Zika infections in the United States from CDC found here.
Birth Defects Registries: Both CDC and WHO track incidents of microcephaly at national and global scales, respectively. Generally, birth defects are identified by active or passive surveillance systems. Under active surveillance, Public Health or healthcare professionals seek out birth defect information. For example, the expert goes to hospitals and reviews medical reports to find babies with birth defects. Passive surveillance, on the other hand, relies on doctors or hospitals to send reports to the Public Health Department responsible for tracking birth defects. In this model, doctors and healthcare providers must be able to accurately diagnosis birth defects and report them to the proper Public Health Department. Hybrid approaches are also used, in which the surveillance is passive; however, Public Health professionals will follow-up to confirm birth defect reports. For microcephaly, it is particularly complicated due to discrepancies in how the condition is diagnosed. Comparing countries with active and passive surveillance systems is complex and often introduces biases into the analyses. Additionally, depending on the legal and healthcare environment, women carrying fetuses with known birth defects may terminate their pregnancies before a birth defect can be reported, leading to an underestimation of birth defects. These complexities make international comparisons of birth defects complicated.
Dysmorphology: Efforts to standardize the definitions of congenital abnormalities, including microcephaly, are important in harmonizing data collection at national and international levels. CDC uses the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) ontology as a controlled vocabulary for describing congenital abnormalities. Additionally, SNOMED CT has compiled an extensive database of known causes of microcephaly, including genetic abnormalities.
Databases were available that answered all of these questions, and which provided additional details on potential challenges related to data collection. However, separate databases need to be consulted to track microcephaly and Zika cases alongside mosquito populations under current and projected climate scenarios. Some of these databases are automatically updated consistently; however, others have to be manually updated and can become out-of-date relatively quickly. Current projections are what are being accessed to answer questions about the global and local risks associated with the upcoming Olympic Games.
The available databases enabled decision-makers to craft location-specific risk communication advice and also to make predictions of vector spread. As with many emerging risks, more information is always needed, and hence the frequency of database updates directly correlated with the increasing frequency of revised messages. Information sources differed in detail and were dynamic. In particular, with birth defects, getting the message wrong or having access to inaccurate data can result in serious healthcare actions. Most of the databases we accessed to make these assessments were government- and/or agency-based databases, best used for population level predictions rather than for use in individual patient-based decisions. At the population level, these databases were exceptionally helpful.
All in all, we found a wide variety of databases available that are relevant to understanding and predicting risks associated with Zika virus. Some weaknesses include: lack of international standards for diagnosing microcephaly, and difficulties in quantifying prevalence of Zika virus in rural and underserved communities; infrequently updated databases; and 'lack of one-stop shopping'. However, there are many promising tools such as HealthMap, which contains information on both mosquitos and Zika cases and is frequently updated.
Special thanks for M. Smith and D. Pyle with the Institute for Risk Analysis and Risk Communication for their contributions to this blog post.
Climate change models for mosquito spread: – Medlock, J. M. and S. A. Leach (2015) 'Effect of climate change on vector-borne disease risk in the UK.' The Lancet Infectious Diseases 15(6): 721-730. – Paz, S. and J. C. Semenza (2016) 'El Niño and climate change-contributing factors in the dispersal of Zika virus in the Americas?' The Lancet 387(10020): 745. – Sucaet, Y., J. V. Hemert, B. Tucker and L. Bartholomay (2008). 'A Web-based Relational Database for Monitoring and Analyzing Mosquito Population Dynamics.' Journal of Medical Entomology 45(4): 775-784. – Vector Map