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Raw pollen counts and full pollen diagram from the RZ section, Nangqian Basin, Tibet, China
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This database compiles five indicators regarding working conditions: fatal occupational injuries, non-fatal occupational injuries, forced labour, part-time employment and temporary employment. Each of the five indicators is provided for 44 regions according to WIOD Release 2016 regional structure and is disaggregated by economic activity according to the International Standard Industrial Classification of All Economic Activities (ISIC) Rev. 3. Therefore, this dataset is suitable to be introduced as a social satellite account in a multi-regional input-output model. Data has been compiled from official sources as ILOSTAT, EUROSTAT or OECD Data among others. Data coming from different databases have been homogenized, and in some cases estimation has been required. Main sources are specified in the dataset. For further information about the generation process of the dataset, please check García-Alaminos Á, Monsalve F, Zafrilla J, Cadarso MA (2020) Unmasking social distant damage of developed regions’ lifestyle: A decoupling analysis of the indecent labour footprint. PLOS ONE 15(4): e0228649. https://doi.org/10.1371/journal.pone.0228649. For any question, you can contact the author at angela.garcia@uclm.es.
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Modification of nighttime light levels by artificial illumination (artificial light at night; ALAN) is a rapidly increasing form of human disturbance that affects natural environments worldwide. Light in natural environments influences a variety of physiological and ecological processes directly and indirectly and, as a result, the effects of light pollution on species, communities and ecosystems are emerging as significant. Small prey species may be particularly susceptible to ALAN as it makes them more conspicuous and thus more vulnerable to predation by visually oriented predators. Understanding the effects of disturbance like ALAN is especially important for threatened or endangered species as impacts have the potential to impede recovery, but due to low population numbers inherent to at-risk species, disturbance is rarely studied. The endangered Stephens’ kangaroo rat (SKR), Dipodomys stephensi, is a nocturnal rodent threatened by habitat destruction from urban expansion. The degree to which ALAN impacts their recovery is unknown. In this study, we examined the effects of ALAN on SKR foraging decisions across a gradient of light intensity for two types of ALAN, flood and bug lights (756 vs 300 lumen, respectfully) during full and new moon conditions. We found that ALAN decreased probability of resource patch depletion compared to controls. Moreover, lunar illumination, distance from the light source and light type interacted to alter SKR foraging. Under the new moon, SKR were consistently more likely to deplete patches under control conditions, but there was an increasing probability of patch depletion with distance from the source of artificial light. The full moon dampened SKR foraging activity and the effect of artificial lights. Our study underscores that ALAN reduces habitat suitability, and raises the possibility that ALAN may impede the recovery of at-risk nocturnal rodents. Main conclusion: Artificial light source, moon phase and distance to light interact to negatively impact foraging energetics of endangered kangaroo rats, which has implications for management and recovery of nocturnal prey species.
Data Types:
  • Tabular Data
  • Dataset
Major element compositions of minerals (Ol, Opx, Cpx and Spl), whole-rock major- trace- and Re-Os isotopic compositions of the Yunzhug ophiolitic peridotites
Data Types:
  • Tabular Data
  • Dataset
The Quality of Nationality Index (QNI) Settlement Freedom dataset contains the settlement freedom of virtually all nationalities in the world over the last 10 years (2010–2019). Settlement freedom is defined as the freedom of the holder of a particular nationality to have “full access” (that is, being able to freely work and live) to other territories than the one with which the nationality is associated, without being subject to substantive immigration requirements. For measuring Settlement Freedom, settlement in a particular country is considered possible if an adult holder of a nationality is allowed to work there without having to obtain a visa or with a visa acquired on arrival. Permission to work in that country is either not required or virtually automatic. The following factors are not considered in determining the freedom to settle in another country: entitlement to public pension systems; entitlement to health care; entitlement to social security benefits; ability of family members to join the person in question; specific skill qualifications that are required to perform certain professions, particularly of a qualitative nature, such as bar qualifications to practice as a lawyer, medical qualifications to practice as a doctor, or construction-worker qualifications. We also do not take into account any settlement freedom that is based on factors other than nationality itself, such as being in possession of a higher education diploma. We distinguish between Diversity of Settlement Freedom and Weight of Settlement Freedom. Diversity and Weight of Settlement Freedom each account for 15% of the overall score of a nationality in the QNI General Ranking (see Kälin and Kochenov’s Quality of Nationality Index (D. Kochenov and J. Lindeboom eds., 2020)). Diversity of Settlement Freedom refers to the number of destinations to which the holder of a nationality has full access as defined above. Data is gathered through extensive research into the legal requirements for settlement throughout the world, complemented with expert consultation in all regions of the world. The more countries giving full-access settlement to the holder of a nationality, the higher that nationality’s score is on Diversity of Settlement Freedom. All data is converted and normalized on the 0–15 scale. Weight of Settlement Freedom refers to the aggregate value of the destinations to which the holder of a nationality has full access. This aggregate value is based on the sum of weighted scores of those destinations on the QNI’s “Human Development” and “Economic Strength” parameters (see in more detail, Kälin and Kochenov’s Quality of Nationality Index 2020, p. 52–67). Each parameter accounts for 50% of the “destination value” of each destination. The sum of all these destination values becomes the Weight of Settlement Freedom for a given nationality. This sum is normalized on a 0–15 scale. For the Quality of Nationality Index dataset, see 10.17632/53zr7cfyrs.1.
Data Types:
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Dados para análise fatorial exploratória para a composição do modelo de dados.
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Palynomorph assemblages and palynofacies analysis have been performed on several core samples from the Devonian–Carboniferous deposits identified in five wells located in the eastern part of the Moesian Platform. The investigated sections include, in ascending stratigraphic order, the Ţăndărei, Smirna, Călăraşi and Vlaşin formations. Based on stratigraphic distribution of key taxa identified (miospores, chitinozoans, acritarchs), seven biozone intervals (four for Devonian and three for Carboniferous) have been recognized. The oldest samples were dated as being part of the micrornatus-newportense (MN) – lower part of breconensis-zavallatus (BZ) interval zones (early Devonian), while the younger ones are assigned to the kosankei-varioreticulatus (KV) – nobilis-junior (NJ) interval zones (late Carboniferous). Palynofacies observations suggest a more distal depositional environment during the period between Lochkovian and Pragian times, followed by some proximal/fluvio-deltaic conditions in Emsian–early Eifelian (the top of Ţăndărei Formation). The upper Tournaisian to Serpukhovian sedimentary rocks of the Călăraşi and lower part of Vlaşin formations were deposited in inner neritic environments. Mud-dominated dysoxic/anoxic conditions prevailed in the Bashkirian, which were quickly succeeded by a deltaic deposition and oxidizing environments which persisted up to Moscovian. The lower Devonian terrestrial palynoflora is dominated by trilete spores which belong to the lowland vegetation of a non-forest mire palaeoecological group. The Carboniferous deposits yielded only terrestrial palynomorphs of various types of arborescent and herbaceous lycopsids and ferns, suggesting different habitats such as non-flooded wetlands or swamps within coastal plain and continental interiors. These assemblages of Carboniferous miospores are an indication of the neutral-humid climatic conditions which existed at the time of deposition.
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Data for three experiments
Data Types:
  • Tabular Data
  • Dataset
Selected companies in Russia investing in intellectual capital. Designed VAIC components for companies: CEE, HCE, SCE.
Data Types:
  • Tabular Data
  • Dataset
The research question for this dataset was: How will climate change impact the growth of spring wheat in Fairbanks, Alaska? The DSSAT CERES-Wheat crop simulation model was used to answer this research question. Data consists of DSSAT V4.7.0.0 Files and Field Data. Data in the Field Data files were collected at the University of Alaska Fairbanks small grains variety trial plot in Fairbanks, AK. This field data was input into DSSAT. DSSAT Files were used to calibrate, validate, and apply the DSSAT CERES-Wheat crop simulation model for simulating spring wheat growth (cultivar Ingal) in projected climate change scenarios. These DSSAT files are ready for a modeler to use.
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