cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e131181
title: Fiscal capacity in late medieval Siena

description: After the 1348 Black Death, the Republic of Siena went through a period of recurrent plagues, military threats and famines. During this phase the city moved from the oligarchic system to a coalition formed by the participation of social groups previously excluded from politics, an institutional path almost unique among the other contemporary Italian states. Did the city maintain its fiscal capacity? And, if so, how? I answer these questions through a quantitative analysis of a new dataset compiled from the fiscal archives of the city of Siena, and I show two main results. First, despite the increasing external threats, the coalitions were able to maintain fiscal capacity until the second half of the 15th century. Second, they did so adopting progressive fiscal instruments that allowed the city to raise the resources needed to support the increasing fiscal pressure. However, these instruments ultimately linked the fiscal capacity of Siena to the economic trend of northern and central Italy. When in the second half of the 15th century the region entered into an economic downturn, the fiscal capacity of Siena plummeted and the city lost its independence.
DOI: 10.3886/e131181v1
title: Fiscal capacity in late medieval Siena

description: After the 1348 Black Death, the Republic of Siena went through a period of recurrent plagues, military threats and famines. During this phase the city moved from the oligarchic system to a coalition formed by the participation of social groups previously excluded from politics, an institutional path almost unique among the other contemporary Italian states. Did the city maintain its fiscal capacity? And, if so, how? I answer these questions through a quantitative analysis of a new dataset compiled from the fiscal archives of the city of Siena, and I show two main results. First, despite the increasing external threats, the coalitions were able to maintain fiscal capacity until the second half of the 15th century. Second, they did so adopting progressive fiscal instruments that allowed the city to raise the resources needed to support the increasing fiscal pressure. However, these instruments ultimately linked the fiscal capacity of Siena to the economic trend of northern and central Italy. When in the second half of the 15th century the region entered into an economic downturn, the fiscal capacity of Siena plummeted and the city lost its independence.
DOI: 10.3886/e112322v1-74200
title: Replication data for: Matching and Sorting in Online Dating

description: Using data on user attributes and interactions from an online dating site, we estimate mate preferences, and use the Gale-Shapley algorithm to predict stable matches. The predicted matches are similar to the actual matches achieved by the dating site, and the actual matches are approximately efficient. Out-of- sample predictions of offline matches, i.e., marriages, exhibit assortative mating patterns similar to those observed in actual marriages. Thus, mate preferences, without resort to search frictions, can generate sorting in marriages. However, we underpredict some of the correlation patterns; search frictions may play a role in explaining the discrepancy. (JEL C78, J12)
DOI: 10.5281/zenodo.4482846
title: Digitalizacja dziedzictwa (Digitisation of Heritage)

description: M. Filiciak, A. Tarkowski, A. Jałosińska, A. Klimczuk, M. Rynarzewski, J.M. Seweryn, G.D. Stunża, M. Wilkowski, A. Orlik, Digitalizacja dziedzictwa (Digitisation of Heritage), Fundacja Ortus, Warszawa 2010.
DOI: 10.5281/zenodo.4482845
title: Digitalizacja dziedzictwa (Digitisation of Heritage)

description: M. Filiciak, A. Tarkowski, A. Jałosińska, A. Klimczuk, M. Rynarzewski, J.M. Seweryn, G.D. Stunża, M. Wilkowski, A. Orlik, Digitalizacja dziedzictwa (Digitisation of Heritage), Fundacja Ortus, Warszawa 2010.
DOI: 10.5281/zenodo.4482848
title: Obóz Kultury 2.0 (Culture 2.0 Camp)

description: Obóz Kultury 2.0 Mirosław Filiciak, Alek Tarkowski, Agata Jałosińska, Andrzej Klimczuk, Maciej Rynarzewski, Jacek Seweryn, Stunża M., D. Grzegorz, Marcin Wilkowski & Anna Orlik Fundacja Ortus (2010)
DOI: 10.5281/zenodo.4482847
title: Obóz Kultury 2.0 (Culture 2.0 Camp)

description: Obóz Kultury 2.0 Mirosław Filiciak, Alek Tarkowski, Agata Jałosińska, Andrzej Klimczuk, Maciej Rynarzewski, Jacek Seweryn, Stunża M., D. Grzegorz, Marcin Wilkowski & Anna Orlik Fundacja Ortus (2010)
DOI: 10.5281/zenodo.4482860
title: Obóz Kultury 2.0 (Culture 2.0 Camp)

description: Obóz Kultury 2.0
DOI: 10.5281/zenodo.4482859
title: Obóz Kultury 2.0 (Culture 2.0 Camp)

description: Obóz Kultury 2.0
DOI: 10.5281/zenodo.4482862
title: Digitalizacja dziedzictwa (Digitisation of Heritage)

description: Digitalizacja dziedzictwa
DOI: 10.5281/zenodo.4482861
title: Digitalizacja dziedzictwa (Digitisation of Heritage)

description: Digitalizacja dziedzictwa
DOI: 10.6084/m9.figshare.13669178
title: HHI_raw_data.zip

description: This repo contains all of the data used for:<br>Trends in Haptic Communication of Human-Human Dyads: Towards Natural Human-Robot Co-manipulationAuthors: Spencer W. Jensen, John Salmon, and Marc D. KillpackPublished in Frontiers in Neurorobotics<br>Contents:- Sensor_Data\- Survey Data<br>-------------------------------------------------------------------Sensor_data contains a single .mat file for every trial conducted. All directions indicated are in the table frame unless otherwise specified. The units are SI (N,Nm,m,rad,etc) The following variables correspond the following metrics:<br>MOTION DATA:p_x = Position of center of board in x-directionp_y = Position of center of board in y-directionp_z = Position of center of board in z-directionth_x = Orientation of board about x-axis (global frame)th_y = Orientation of board about y-axis (global frame)th_z = Orientation of board about z-axis (global frame)v_x = Linear velocity of center of board in x-directionv_y = Linear velocity of center of board in y-directionv_z = Linear velocity of center of board in z-directionw_x = Angular velocity of board about x-directionw_y = Angular velocity of board about y-directionw_z = Angular velocity of board about z-directiona_x = linear acceleration of center of board in x-directiona_y = linear acceleration of center of board in y-directiona_z = linear acceleration of center of board in z-directionalpha_x = angular acceleration of board about x-directionalpha_y = angular acceleration of board about y-directionalpha_z = angular acceleration of board about z-direction<br>FORCE/TORQUE DATA:ff_x = Force of follower in x-directionff_y = Force of follower in y-directionff_z = Force of follower in z-directionfl_x = Force of leader in x-directionfl_y = Force of leader in y-directionfl_z = Force of leader in z-directionfg_x = Force of gravity in x-directionfg_y = Force of gravity in y-directionfg_z = Force of gravity in z-directiontauf_x = Torque of follower in x-directiontauf_y = Torque of follower in y-directiontauf_z = Torque of follower in z-directiontaul_x = Torque of leader in x-directiontaul_y = Torque of leader in y-directiontaul_z = Torque of leader in z-direction<br>TIME DATA:time = time stamps of data<br>Other variables are derivatives of these or not used in paper------------------------------------------------------------------------survey_data contains the Likert scale survey reponses in a .mat file. Once loaded a table variable T holds all data.See paper for actual survey questions and scale.
DOI: 10.6084/m9.figshare.13669178.v1
title: HHI_raw_data.zip

description: This repo contains all of the data used for:<br>Trends in Haptic Communication of Human-Human Dyads: Towards Natural Human-Robot Co-manipulationAuthors: Spencer W. Jensen, John Salmon, and Marc D. KillpackPublished in Frontiers in Neurorobotics<br>Contents:- Sensor_Data\- Survey Data<br>-------------------------------------------------------------------Sensor_data contains a single .mat file for every trial conducted. All directions indicated are in the table frame unless otherwise specified. The units are SI (N,Nm,m,rad,etc) The following variables correspond the following metrics:<br>MOTION DATA:p_x = Position of center of board in x-directionp_y = Position of center of board in y-directionp_z = Position of center of board in z-directionth_x = Orientation of board about x-axis (global frame)th_y = Orientation of board about y-axis (global frame)th_z = Orientation of board about z-axis (global frame)v_x = Linear velocity of center of board in x-directionv_y = Linear velocity of center of board in y-directionv_z = Linear velocity of center of board in z-directionw_x = Angular velocity of board about x-directionw_y = Angular velocity of board about y-directionw_z = Angular velocity of board about z-directiona_x = linear acceleration of center of board in x-directiona_y = linear acceleration of center of board in y-directiona_z = linear acceleration of center of board in z-directionalpha_x = angular acceleration of board about x-directionalpha_y = angular acceleration of board about y-directionalpha_z = angular acceleration of board about z-direction<br>FORCE/TORQUE DATA:ff_x = Force of follower in x-directionff_y = Force of follower in y-directionff_z = Force of follower in z-directionfl_x = Force of leader in x-directionfl_y = Force of leader in y-directionfl_z = Force of leader in z-directionfg_x = Force of gravity in x-directionfg_y = Force of gravity in y-directionfg_z = Force of gravity in z-directiontauf_x = Torque of follower in x-directiontauf_y = Torque of follower in y-directiontauf_z = Torque of follower in z-directiontaul_x = Torque of leader in x-directiontaul_y = Torque of leader in y-directiontaul_z = Torque of leader in z-direction<br>TIME DATA:time = time stamps of data<br>Other variables are derivatives of these or not used in paper------------------------------------------------------------------------survey_data contains the Likert scale survey reponses in a .mat file. Once loaded a table variable T holds all data.See paper for actual survey questions and scale.
DOI: 10.5281/zenodo.4479716
title: Global dataset for evaluating impact of topographic factors on hydrologic response to climate variability

description: The dataset contained here was used to document the biomes in the world that show high sensitivity in their hydrologic response to interannual changes in climatic forcing during the 2001-2016 period, while evaluating the role of major topoclimatic factors in modulating these responses. To do this we generated a hydrologic sensitivity index (HSi). HSi evaluates the absolute ratio between the changes of the climatic conditions (dryness index, DI) and hydrologic response (evaporative index, EI<sub>R</sub>) between consecutive years (e.g. HSi= |∆ EI<sub>R</sub> /∆ DI|). HSi was computed for every successive pair of years from 2001 to 2016. A total of 15 HSi maps were obtained representing the HSi for each consecutive pair of years. For each map, where HSi &gt;1, regions are classified as <strong><em>Sensitive</em></strong> and for HSi ≤1, <strong><em>Resilient</em></strong>. To provide a synthesis of the general trend of global hydrologic sensitivity, we display the frequency of HSi, showing the recurrence of HSi &gt;1 for every non-ocean location with a range of 0 (low frequency) to 15 (high frequency). Regions where frequency HSi≥7 are considered highly recurring and as such are deemed as the most hydrologically sensitive. <strong>This dataset includes the code and raster data to evaluate the effect of the topography on HSi to plot the average frequency HSi for all elevations, aspects, and slope steepness against latitudinal change.</strong> We used global digital elevation models (DEMS) from the Shuttle Radar Topography Mission (SRTM) data (90 m resolution; version 4, for latitudes &lt; 60◦ N and GTOPO30 (1◦ resolution; http://lta.cr.usgs.gov/GTOPO30) for latitudes &gt; 60◦ N. Slope and aspect maps were derived from the DEMs using standard GIS-based methods in ArcMap 10.7.Elevation range used is [0,7000] meters above sea level (m.a.s.l), aspect (N, NE, E, SE, S, SW, W, NW) specifically above slope values greater than 10-degrees (no flat areas used), and slope [0,90] degrees. <strong>Contents:</strong> 1 MATLAB with the code ready to use 1 PDF file with the same code 27 geotiff files for elevation (dem#1-27.tif) 27 geotiff files for frequency HSi (freq#1-27.tif) Note: the following files of slope and aspect could not upload in repository due to exceedance in storage limit: 50MG. The DEM files must be run in ArcMap using slope and aspect tool to produce the following files with the following names. 27 geotiff files for slope (slope#1-27.tif) 27 geotiff files for aspect (aspect#1-27.tif)
description: {"references": ["Jarvis, A., Reuter, H. I., Nelson, A., & Guevara, E. Hole-filled SRTM for the Globe Version 4. available from the CGIAR-CSI SRTM 90m Database (http://srtm.csi.cgiar.org), 15, 25-54\u00a0 (2008).", "Burrough, P. A., McDonnell, R., McDonnell, R. A., & Lloyd, C. D. Principles of Geographical Information Systems. (Oxford university press, New York, 2015)"]}
DOI: 10.5281/zenodo.4479715
title: Global dataset for evaluating impact of topographic factors on hydrologic response to climate variability

description: The dataset contained here was used to document the biomes in the world that show high sensitivity in their hydrologic response to interannual changes in climatic forcing during the 2001-2016 period, while evaluating the role of major topoclimatic factors in modulating these responses. To do this we generated a hydrologic sensitivity index (HSi). HSi evaluates the absolute ratio between the changes of the climatic conditions (dryness index, DI) and hydrologic response (evaporative index, EI<sub>R</sub>) between consecutive years (e.g. HSi= |∆ EI<sub>R</sub> /∆ DI|). HSi was computed for every successive pair of years from 2001 to 2016. A total of 15 HSi maps were obtained representing the HSi for each consecutive pair of years. For each map, where HSi &gt;1, regions are classified as <strong><em>Sensitive</em></strong> and for HSi ≤1, <strong><em>Resilient</em></strong>. To provide a synthesis of the general trend of global hydrologic sensitivity, we display the frequency of HSi, showing the recurrence of HSi &gt;1 for every non-ocean location with a range of 0 (low frequency) to 15 (high frequency). Regions where frequency HSi≥7 are considered highly recurring and as such are deemed as the most hydrologically sensitive. <strong>This dataset includes the code and raster data to evaluate the effect of the topography on HSi to plot the average frequency HSi for all elevations, aspects, and slope steepness against latitudinal change.</strong> We used global digital elevation models (DEMS) from the Shuttle Radar Topography Mission (SRTM) data (90 m resolution; version 4, for latitudes &lt; 60◦ N and GTOPO30 (1◦ resolution; http://lta.cr.usgs.gov/GTOPO30) for latitudes &gt; 60◦ N. Slope and aspect maps were derived from the DEMs using standard GIS-based methods in ArcMap 10.7.Elevation range used is [0,7000] meters above sea level (m.a.s.l), aspect (N, NE, E, SE, S, SW, W, NW) specifically above slope values greater than 10-degrees (no flat areas used), and slope [0,90] degrees. <strong>Contents:</strong> 1 MATLAB with the code ready to use 1 PDF file with the same code 27 geotiff files for elevation (dem#1-27.tif) 27 geotiff files for frequency HSi (freq#1-27.tif) Note: the following files of slope and aspect could not upload in repository due to exceedance in storage limit: 50MG. The DEM files must be run in ArcMap using slope and aspect tool to produce the following files with the following names. 27 geotiff files for slope (slope#1-27.tif) 27 geotiff files for aspect (aspect#1-27.tif)
description: {"references": ["Jarvis, A., Reuter, H. I., Nelson, A., & Guevara, E. Hole-filled SRTM for the Globe Version 4. available from the CGIAR-CSI SRTM 90m Database (http://srtm.csi.cgiar.org), 15, 25-54\u00a0 (2008).", "Burrough, P. A., McDonnell, R., McDonnell, R. A., & Lloyd, C. D. Principles of Geographical Information Systems. (Oxford university press, New York, 2015)"]}
DOI: 10.25345/c55n5h
title: MassIVE MSV000086780 - Exosome miRNA protein interactions in brown adipocytes
title: We have identified several nucleotide motifs (caug, cgggag=S2) that promote exosome sorting of miRNA in different cell types including brown adipocytes. In order to identify which proteins might recognize and bind to these motifs, we have performed co-precipitations of proteins binding biotinylated forms of miRNAs containing the aforementioned motifs or none - using streptavidin beads incubated with brown adipocytes cell lysates. We have included two types of controls: negative poly-A control and a scramble miRNA.
DOI: 10.21227/mxb3-7j48
title: 3DLSC-COVID

description: The 3DLSC-COVID datset includesa total of 1,805 3D chest CT scans with more than 570,000 CT slices were collected from 2 standard CT scanners of Liyuan Hospital, i.e., UIH uCT 510 and GE Optima CT600.Among all CT scans, there were 794 positive cases of COVID-19, which were further confirmed by clinical symptoms and RT-PCR from January 16 to April 16, 2020. Additionally, 540 positive cases of CAP, 471 non-pneumonia cases were randomly selected from the same hospital between November 5, 2016 and April 28, 2020. Part of the CT scans (including 100 COVID-19 and 32 CAP cases) along with the corresponding lesion annotations have already passed the open source approval process and are now available. For obtaining the extra data, please contact xfwang@buaa.edu.cn. Note that the data can only used for academic purpose.
DOI: 10.5281/zenodo.3690739
title: Extended Gassmann equation ( accepted by Geophysics)

description: accepted by Geophysics
DOI: 10.5281/zenodo.3690738
title: Extended Gassmann equation ( accepted by Geophysics)

description: accepted by Geophysics
DOI: 10.5281/zenodo.4482899
title: Recurrent aphthous stomatitis: proteomics database (2020)

description: Recurrent aphthous stomatitis: proteomics database (2020)
DOI: 10.34740/kaggle/dsv/1891348
title: CEEC Mexico
DOI: 10.6084/m9.figshare.13669205
title: Meta-Analysis of Probiotic

description: A meta-analysis was conducted to determine relationship between lactic acid bacteria and yeast as probiotic to broiler diets on the growth performance, relative organ weight, blood parameters, and immune response of the broiler. A database was designed based on published data that reported the use of probiotic on the broiler. The method used for selecting articles was based on the SYRCLE's method. The final database consists of 49 in vivo articles, 93 studies, and 225 treatments. The analysis statement in the system was a PROC MIXED procedure of SAS software. The level of probiotic increased (p &lt;0.001) body weight, body weight gain, and feed intake of broiler. There was a reduction (p &lt;0.01) on FCR and mortality on the level probiotic given to broiler. Supplementation of probiotics in broiler diet increased (p &lt;0.001) the weight of liver, spleen, gizzard, bursa of fabricius and carcass yield, while reduced (p&lt;0.001) abdominal fat weight. The probiotic given increased the total of red and white blood cells (both at p &lt; 0.001) but did not affect lymphocyte. Yeast act as supporting agent that serve lactic acid bacteria as probiotic increases the growth performance, relative organ weight, blood parameters, and immune response of the broiler.
DOI: 10.6084/m9.figshare.13669205.v1
title: Meta-Analysis of Probiotic

description: A meta-analysis was conducted to determine relationship between lactic acid bacteria and yeast as probiotic to broiler diets on the growth performance, relative organ weight, blood parameters, and immune response of the broiler. A database was designed based on published data that reported the use of probiotic on the broiler. The method used for selecting articles was based on the SYRCLE's method. The final database consists of 49 in vivo articles, 93 studies, and 225 treatments. The analysis statement in the system was a PROC MIXED procedure of SAS software. The level of probiotic increased (p &lt;0.001) body weight, body weight gain, and feed intake of broiler. There was a reduction (p &lt;0.01) on FCR and mortality on the level probiotic given to broiler. Supplementation of probiotics in broiler diet increased (p &lt;0.001) the weight of liver, spleen, gizzard, bursa of fabricius and carcass yield, while reduced (p&lt;0.001) abdominal fat weight. The probiotic given increased the total of red and white blood cells (both at p &lt; 0.001) but did not affect lymphocyte. Yeast act as supporting agent that serve lactic acid bacteria as probiotic increases the growth performance, relative organ weight, blood parameters, and immune response of the broiler.
DOI: 10.5519/qd.n72v3xsa
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.17188/1182267
title: Materials Data on ThRe2 by Materials Project

description: Re2Th is Hexagonal Laves structured and crystallizes in the hexagonal P6_3/mmc space group. The structure is three-dimensional. Th is bonded in a 12-coordinate geometry to twelve Re atoms. There are a spread of Th–Re bond distances ranging from 3.18–3.31 Å. There are two inequivalent Re sites. In the first Re site, Re is bonded to six equivalent Th and six equivalent Re atoms to form a mixture of edge, corner, and face-sharing ReTh6Re6 cuboctahedra. All Re–Re bond lengths are 2.84 Å. In the second Re site, Re is bonded to six equivalent Th and six Re atoms to form a mixture of edge, corner, and face-sharing ReTh6Re6 cuboctahedra. There are two shorter (2.66 Å) and two longer (2.75 Å) Re–Re bond lengths.
DOI: 10.17188/1182268
title: Materials Data on HfAl2 by Materials Project

description: HfAl2 is Hexagonal Laves structured and crystallizes in the hexagonal P6_3/mmc space group. The structure is three-dimensional. Hf is bonded in a 12-coordinate geometry to four equivalent Hf and twelve Al atoms. There are three shorter (3.23 Å) and one longer (3.25 Å) Hf–Hf bond lengths. There are a spread of Hf–Al bond distances ranging from 3.08–3.11 Å. There are two inequivalent Al sites. In the first Al site, Al is bonded to six equivalent Hf and six equivalent Al atoms to form a mixture of edge, face, and corner-sharing AlHf6Al6 cuboctahedra. All Al–Al bond lengths are 2.68 Å. In the second Al site, Al is bonded to six equivalent Hf and six Al atoms to form a mixture of edge, face, and corner-sharing AlHf6Al6 cuboctahedra. There are two shorter (2.56 Å) and two longer (2.69 Å) Al–Al bond lengths.
DOI: 10.17188/1182418
title: Materials Data on DyNi by Materials Project

description: DyNi crystallizes in the orthorhombic Pnma space group. The structure is three-dimensional. Dy is bonded in a 7-coordinate geometry to seven equivalent Ni atoms. There are a spread of Dy–Ni bond distances ranging from 2.86–2.93 Å. Ni is bonded in a 9-coordinate geometry to seven equivalent Dy and two equivalent Ni atoms. Both Ni–Ni bond lengths are 2.55 Å.
DOI: 10.17188/1178752
title: Materials Data on Cd3In by Materials Project

description: Cd3In is Uranium Silicide structured and crystallizes in the cubic Pm-3m space group. The structure is three-dimensional. Cd is bonded to eight equivalent Cd and four equivalent In atoms to form CdCd8In4 cuboctahedra that share corners with twelve equivalent CdCd8In4 cuboctahedra, edges with eight equivalent InCd12 cuboctahedra, edges with sixteen equivalent CdCd8In4 cuboctahedra, faces with four equivalent InCd12 cuboctahedra, and faces with fourteen equivalent CdCd8In4 cuboctahedra. All Cd–Cd bond lengths are 3.25 Å. All Cd–In bond lengths are 3.25 Å. In is bonded to twelve equivalent Cd atoms to form InCd12 cuboctahedra that share corners with twelve equivalent InCd12 cuboctahedra, edges with twenty-four equivalent CdCd8In4 cuboctahedra, faces with six equivalent InCd12 cuboctahedra, and faces with twelve equivalent CdCd8In4 cuboctahedra.