scholarly journals The BernClim plant phenological data set from the canton of Bern (Switzerland) 1970–2018

2019 ◽  
Vol 11 (4) ◽  
pp. 1645-1654 ◽  
Author(s):  
This Rutishauser ◽  
François Jeanneret ◽  
Robert Brügger ◽  
Yuri Brugnara ◽  
Christian Röthlisberger ◽  
...  
Keyword(s):  
Growing Season ◽  
Data Set ◽  
Urban And Regional Planning ◽  
Phenological Data ◽  
Observation Network ◽  
Good Internal Consistency ◽  
Change Impact ◽  
University Of Bern ◽  
The University

Abstract. In 1970, the Institute of Geography of the University of Bern initiated the phenological observation network BernClim. Seasonality information from plants, fog and snow was originally available for applications in urban and regional planning and agricultural and touristic suitability and is now a valuable data set for climate change impact studies. Covering the growing season, volunteer observers record the dates of key development stages of hazel (Corylus avellana), dandelion (Taraxacum officinale), apple tree (Pyrus malus) and beech (Fagus sylvatica). All observations consist of detailed site information, including location, altitude, exposition (aspect) and inclination, that makes BernClim unique in its richness in detail on decadal timescales. Quality control (QC) by experts and statistical analyses of the data have been performed to flag impossible dates, dates outside the biologically plausible range, repeated dates in the same year, stretches of consecutive identical dates and statistically inconsistent dates (outliers in time or in space). Here, we report BernClim data of 7414 plant phenological observations from 1970 to 2018 from 1304 sites at 110 stations, the QC procedure and selected applications (Rutishauser et al., 2019: https://doi.org/10.1594/PANGAEA.900102). The QC points to very good internal consistency (only 0.2 % were flagged as internally inconsistent) and likely high quality of the data. BernClim data indicate a trend towards an extended growing season. They also track the regime shift in the late 1980s well to pronounced earlier dates like numerous other phenological records across the Northern Hemisphere.

scholarly journals The BernClim plant phenological data set from the Canton of Bern (Switzerland) 1970–2018

2019 ◽  
Author(s):  
This Rutishauser ◽  
Francois Jeanneret ◽  
Robert Brügger ◽  
Yuri Brugnara ◽  
Christian Röthlisberger ◽  
...  
Keyword(s):  
Regime Shift ◽  
Climate Change Impacts ◽  
Growing Season ◽  
Data Set ◽  
Urban And Regional Planning ◽  
Phenological Data ◽  
Observation Network ◽  
Good Internal Consistency ◽  
The University

Abstract. In 1970, the Institute of Geography of the University of Berne initiated the phenological observation network BernClim. Seasonality information from plants, fog and snow originally served for applications in urban and regional planning, agricultural and touristic suitability and are now a valuable data set for climate change impacts studies. Covering the growing season volunteer observers record the dates of key development stages of hazel (Coryllus avellana), dandelion (Taraxacum officinale), apple tree (Pyrus malus) and beech (Fagus sylvatica). All observations consist of detailed site information including location, altitude, exposition and inclination that make BernClim unique in detail-richness on decadal time-scales. Quality control (QC) by experts and statistical analyses of the data has been performed to flag impossible dates, dates outside the biologically plausible range, repeated dates in the same year, stretches of consecutive identical dates, and statistically inconsistent dates (outliers in time or in space). Here, we report BernClim data of 7414 plant phenological observations from 1970 to 2018 from 1304 sites at 110 stations, the QC procedure and selected applications (Rutishauser et al., 2019, https://doi.org/10.1594/PANGAEA.900103). The QC points to a very good internal consistency (only 0.2 % were flagged as internally inconsistent) and likely a high quality of the data. BernClim data indicate a trend towards an extended growing season. They also well track the regime shift in the late 1980s.

Penerapan Metode K-Means Clustering Dalam Menentukan Predikat Kelulusan Mahasiswa Untuk Menganalisa Kualitas Lulusan

JURTEKSI ◽  
2018 ◽  
Vol 4 (2) ◽  
pp. 133-140
Author(s):  
Venny Novita Sari ◽  
Yupianti Yupianti ◽  
Dewi Maharani
Keyword(s):  
Data Mining ◽  
Graduate Students ◽  
Clustering Method ◽  
Study Program ◽  
Data Set ◽  
Study Programs ◽  
Group A ◽  
The University ◽  
Program Graduate

Abstract: The increasing number of students who graduated each year causes a lot of student data that need to be processed, causing difficulties in grouping the data. In this research apply Data Mining by using Clustering method to classify the quality of graduate students of Faculty of Computer Science Dehasen University of Bengkulu based on GPA and Study Program. The algorithm used is K-Means Clustering, where the data are grouped based on the same characteristics will be entered into the same group and the data set entered into the group does not overlap. Information displayed in the form of group ?? a group of graduate students who dominate the Study Program, so it is known to the group that has the best graduate quality. The results of this study will assist the University in analyzing the quality of graduated students and the most potential study programs. Software used to help this grouping is Rapid Miner. Keywords: K-Means Clustering, Study Program, Graduate Quality, Rapid Miner Abstrak: Semakin meningkatnya jumlah mahasiswa yang diluluskan setiap tahunnya menyebabkan banyaknya data mahasiswa yang perlu diolah sehingga menyebabkan kesulitan dalam pengelompokan data tersebut. Pada penelitian ini menerapkan Data Mining dengan menggunakan metode Clustering untuk mengelompokkan kualitas lulusan mahasiswa Fakultas Ilmu Komputer Universitas Dehasen Bengkulu berdasarkan IPK dan Program Studi. Algoritma yang digunakan yaitu K-Means Clustering, dimana data dikelompokkan berdasarkan karakteristik yang sama akan dimasukkan ke dalam kelompok yang sama dan set data yang dimasukkan ke dalam kelompok tidak tumpang tindih. Informasi yang ditampilkan berupa kelompok � kelompok lulusan mahasiswa yang mendominasi Program Studi, sehingga diketahui kelompok yang memiliki kualitas lulusan terbaik. Hasil penelitian ini akan membantu pihak Universitas dalam menganalisa kualitas mahasiswa yang diluluskan dan program studi yang paling berpotensi diminati. Software yang digunakan untuk membantu pengelompokan ini adalah Rapid Miner. Keyword: K-Means Clustering, Program Studi, Kualitas Lulusan, Rapid Miner

scholarly journals 14C Analysis and Sample Preparation at the New Bern Laboratory for the Analysis of Radiocarbon with AMS (LARA)

Radiocarbon ◽  
2014 ◽  
Vol 56 (02) ◽  
pp. 561-566 ◽  
Author(s):  
Sönke Szidat ◽  
Gary A Salazar ◽  
Edith Vogel ◽  
Michael Battaglia ◽  
Lukas Wacker ◽  
...  
Keyword(s):  
Sample Preparation ◽  
Ion Source ◽  
Carbon Dating ◽  
Climate Research ◽  
Accelerator Mass Spectrometer ◽  
History Of ◽  
Set Up ◽  
University Of Bern ◽  
The University

The University of Bern has set up the new Laboratory for the Analysis of Radiocarbon with AMS (LARA) equipped with an accelerator mass spectrometer (AMS) MICADAS (MIni CArbon Dating System) to continue its long history of14C analysis based on conventional counting. The new laboratory is designated to provide routine14C dating for archaeology, climate research, and other disciplines at the University of Bern and to develop new analytical systems coupled to the gas ion source for14C analysis of specific compounds or compound classes with specific physical properties. Measurements of reference standards and wood samples dated by dendrochronology demonstrate the quality of the14C analyses performed at the new laboratory.

scholarly journals 14C Analysis and Sample Preparation at the New Bern Laboratory for the Analysis of Radiocarbon with AMS (LARA)

Radiocarbon ◽  
2014 ◽  
Vol 56 (2) ◽  
pp. 561-566 ◽  
Author(s):  
Sönke Szidat ◽  
Gary A Salazar ◽  
Edith Vogel ◽  
Michael Battaglia ◽  
Lukas Wacker ◽  
...  
Keyword(s):  
Sample Preparation ◽  
Ion Source ◽  
Carbon Dating ◽  
Climate Research ◽  
Accelerator Mass Spectrometer ◽  
History Of ◽  
Set Up ◽  
University Of Bern ◽  
The University

The University of Bern has set up the new Laboratory for the Analysis of Radiocarbon with AMS (LARA) equipped with an accelerator mass spectrometer (AMS) MICADAS (MIni CArbon Dating System) to continue its long history of 14C analysis based on conventional counting. The new laboratory is designated to provide routine 14C dating for archaeology, climate research, and other disciplines at the University of Bern and to develop new analytical systems coupled to the gas ion source for 14C analysis of specific compounds or compound classes with specific physical properties. Measurements of reference standards and wood samples dated by dendrochronology demonstrate the quality of the 14C analyses performed at the new laboratory.

Preferential flows and the legacy of Peter F. Germann (1944-2020)

2021 ◽  
Author(s):  
Majdi R. Abou Najm ◽  
Keith Beven
Keyword(s):  
Soil Water ◽  
Water Flow ◽  
Preferential Flow ◽  
Research Work ◽  
Soil Physics ◽  
Data Set ◽  
Wide Range ◽  
University Of Bern ◽  
The University ◽  
Preferential Flows

<p>Peter Germann died on December 6<sup>th</sup> 2020 in Bern, Switzerland. Known for a wide range of contributions to the physics of soil-water interactions and flow, his name (along with Keith Beven, his career-long collaborator and fiend) is recognized by an entire generation of soil physicists and hydrologists who studies macropore and preferential flows. They both co-authored the classic, and highly cited 1982 review paper in Water Resources Research on Macropores and Water Flow in Soils. Peter’s PhD work between 1976-1980 was a study of soil-water relations based on maintaining a network of 35 nests of tensiometers at 10 different depths down to 3m. At that time, these were still manual tensiometers coupled to mercury manometers that were read every 2 to 3 days for 3 years. One of the features that this remarkable data set revealed was that during infiltration, wetting in some cases occurred at depths, apparently by-passing the tensiometers above. This is what we all now know as preferential flow. Another was the large heterogeneity in responses between sites and between wetting events. For the major part of his research career, Peter was a strong advocate for a reconsideration of the physics of water flow through soils and, in particular, for the limitations of the Darcy-Buckingham-Richards flow theory. Peter later developed the kinematic wave approach into a theory of viscosity (rather than capillarity) dominated film flows subject to Stokes’ law during infiltration. He summarised his research work in his 2013 book on the subject published by the University of Bern. Peter held academic positions at the University of Virginia in Charlottesville, at Rutgers University, and at the University of Bern back in Switzerland where he stayed until he retired in 2009, and held an Emeritus position until 2015.   He continued to publish papers until shortly before his death which followed 2 major strokes. In this talk, we will go over Peter’s main contribution and research highlights in the area of macropores and preferential flows. Peter was no stranger to EGU, and many know him and have met him in this session or others. For those who knew Peter, they will miss his enthusiasm, his critical mind, his genuine care for the state of soil physics, his thoughtful responses, and his humour. He was a great source of inspiration to us and many others. Peter will be missed by many in soil science.</p>

Radiocarbon Dating of Bones at the LARA Laboratory in Bern, Switzerland

Radiocarbon ◽  
2016 ◽  
Vol 59 (3) ◽  
pp. 831-842 ◽  
Author(s):  
Sönke Szidat ◽  
Edith Vogel ◽  
Regula Gubler ◽  
Sandra Lösch
Keyword(s):  
Acid Treatment ◽  
Radiocarbon Dating ◽  
Sample Pretreatment ◽  
Bulk Sediment ◽  
Acid Base ◽  
The Holocene ◽  
Plant Remains ◽  
University Of Bern ◽  
The University

AbstractThe Laboratory for the Analysis of Radiocarbon with AMS (LARA) was established at the University of Bern in 2013. Since then, the quality of sample preparation and radiocarbon measurement procedures have been validated for different materials such as plant remains, macrofossils, bulk sediment, charcoals, and wood. This article presents the optimization of sample pretreatment of bones based on protocols described in the literature. The extraction of collagen was performed with an acid-base-acid treatment, gelatinization, coarse filtration, lyophilization, and graphitization. Dating results were validated as satisfactory for the Holocene by investigation of 36 individual samples previously dated by other 14C laboratories including VIRI/SIRI materials and from well-known archaeological contexts. An additional blank contribution for bone treatment was determined by comparison with the preparation of other sample materials. The cases of two outliers from the Holocene were studied in detail.

scholarly journals Atmospheric CO<sub>2</sub>, δ(O<sub>2</sub>/N<sub>2</sub>) and δ<sup>13</sup>CO<sub>2</sub> measurements at Jungfraujoch, Switzerland: results from a flask sampling intercomparison program

2013 ◽  
Vol 6 (7) ◽  
pp. 1805-1815 ◽  
Author(s):  
I. T. van der Laan-Luijkx ◽  
S. van der Laan ◽  
C. Uglietti ◽  
M. F. Schibig ◽  
R. E. M. Neubert ◽  
...  
Keyword(s):  
Research Station ◽  
Average Difference ◽  
Max Planck ◽  
Atmospheric Measurements ◽  
Weekly Basis ◽  
The World ◽  
Intercomparison Exercises ◽  
University Of Bern ◽  
The University

Abstract. We present results from an intercomparison program of CO2, δ(O2/N2) and δ13CO2 measurements from atmospheric flask samples. Flask samples are collected on a bi-weekly basis at the High Altitude Research Station Jungfraujoch in Switzerland for three European laboratories: the University of Bern, Switzerland, the University of Groningen, the Netherlands and the Max Planck Institute for Biogeochemistry in Jena, Germany. Almost 4 years of measurements of CO2, δ(O2/N2) and δ13CO2 are compared in this paper to assess the measurement compatibility of the three laboratories. While the average difference for the CO2 measurements between the laboratories in Bern and Jena meets the required compatibility goal as defined by the World Meteorological Organization, the standard deviation of the average differences between all laboratories is not within the required goal. However, the obtained annual trend and seasonalities are the same within their estimated uncertainties. For δ(O2/N2) significant differences are observed between the three laboratories. The comparison for δ13CO2 yields the least compatible results and the required goals are not met between the three laboratories. Our study shows the importance of regular intercomparison exercises to identify potential biases between laboratories and the need to improve the quality of atmospheric measurements.

Development and initial validation of the Latinx well-being scale

2019 ◽  
Author(s):  
◽  
Oscar Fernando Rojas Perez
Keyword(s):  
Well Being ◽  
The United States ◽  
Subjective Experiences ◽  
University Of Missouri ◽  
Factors Analysis ◽  
Strength Based ◽  
Spiritual Well Being ◽  
Good Internal Consistency ◽  
The University

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] In 2000, the conceptualization and operationalization of psychological well-being shifted to a science of positive subjective experiences to improve quality of life. Although this new model was a more positive way of conceptualizing well-being compared to prior methods, this new approach fell short because it was based on non-Latinx Whites and excluded other racial and ethnic groups (i.e. Latinxs). To better assess the well-being of Latinxs, I developed the Latinx Well-being Scale (LWBS), a culturally grounded, strength-based, and holistic measure based on the lived experiences of Latinxs in the United States. With a total of 239 Latinxs primarily from the West Coast, the results of an exploratory factors analysis (EFA) suggested a 55-item, 4-factor solution: (a) Familial Well-being, (b) Spiritual Well-being, (c) Community Well-being, and (d) Physical well-being. The LWBS showed good internal consistency along with evidence to support convergent, discriminant, and construct validity. Directions for future use of the scale in Latinx psychology research and practice are provided.

scholarly journals Atmospheric CO<sub>2</sub>, δ(O<sub>2</sub>/N<sub>2</sub>) and δ<sup>13</sup>CO<sub>2</sub> measurements at Jungfraujoch, Switzerland: results from a flask sampling intercomparison program

2012 ◽  
Vol 5 (5) ◽  
pp. 7293-7322 ◽  
Author(s):  
I. T. van der Laan-Luijkx ◽  
S. van der Laan ◽  
C. Uglietti ◽  
M. F. Schibig ◽  
R. E. M. Neubert ◽  
...  
Keyword(s):  
Research Station ◽  
Average Difference ◽  
Max Planck ◽  
Atmospheric Measurements ◽  
Weekly Basis ◽  
The World ◽  
Intercomparison Exercises ◽  
University Of Bern ◽  
The University

Abstract. We present results from an intercomparison program of CO2, δ(O2/N2) and δ13CO2 measurements from atmospheric flask samples. Flask samples are collected on a bi-weekly basis at the High Altitude Research Station Jungfraujoch in Switzerland for three European laboratories: the University of Bern, Switzerland, the University of Groningen, the Netherlands and the Max Planck Institute for Biogeochemistry in Jena, Germany. Almost 4 yr of measurements of CO2, δ(O2/N2) and δ13CO2 are compared in this paper to assess the measurement compatibility of the three laboratories. While the average difference for the CO2 measurements between the laboratories in Bern and Jena meets the required compatibility goal as defined by the World Meteorological Organisation, the standard deviation of the average differences between all laboratories is not within the required goal. However, the obtained annual trend and seasonalities are the same within their estimated uncertainties. For δ(O2/N2) significant differences are observed between the three laboratories. The comparison for δ13CO2 yields the least compatible results and the required goals are not met between the three laboratories. Our study shows the importance of regular intercomparison exercises to identify potential biases between laboratories and the need to improve the quality of atmospheric measurements.

Epistemic and relational conflicts in sharing identical vs. complementary information during cooperative learning

2002 ◽  
Vol 61 (3) ◽  
pp. 139-151 ◽  
Author(s):  
Céline Darnon ◽  
Céline Buchs ◽  
Fabrizio Butera
Keyword(s):  
Cooperative Learning ◽  
Social Comparison ◽  
Positive Relationship ◽  
Learning Task ◽  
Control Group ◽  
Complementary Information ◽  
Relational Conflict ◽  
The Social ◽  
The University

When interacting on a learning task, which is typical of several academic situations, individuals may experience two different motives: Understanding the problem, or showing their competences. When a conflict (confrontation of divergent propositions) emerges from this interaction, it can be solved either in an epistemic way (focused on the task) or in a relational way (focused on the social comparison of competences). The latter is believed to be detrimental for learning. Moreover, research on cooperative learning shows that when they share identical information, partners are led to compare to each other, and are less encouraged to cooperate than when they share complementary information. An epistemic vs. relational conflict vs. no conflict was provoked in dyads composed by a participant and a confederate, working either on identical or on complementary information (N = 122). Results showed that, if relational and epistemic conflicts both entailed more perceived interactions and divergence than the control group, only relational conflict entailed more perceived comparison activities and a less positive relationship than the control group. Epistemic conflict resulted in a more positive perceived relationship than the control group. As far as performance is concerned, relational conflict led to a worse learning than epistemic conflict, and - after a delay - than the control group. An interaction between the two variables on delayed performance showed that epistemic and relational conflicts were different only when working with complementary information. This study shows the importance of the quality of relationship when sharing information during cooperative learning, a crucial factor to be taken into account when planning educational settings at the university.

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