cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21994/loar8262
title: Danmark i Minecraft (543680,6348480) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (543680,6348480) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-56320 og z=-148480.
DOI: 10.21994/loar8274
title: Danmark i Minecraft (605120,6133440) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (605120,6133440) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=5120 og z=66560.
DOI: 10.21994/loar8245
title: Danmark i Minecraft (564160,6379200) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (564160,6379200) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-35840 og z=-179200.
DOI: 10.21994/loar7944
title: Danmark i Minecraft (512960,6317760) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (512960,6317760) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-87040 og z=-117760.
DOI: 10.21994/loar8311
title: Danmark i Minecraft (666560,6133440) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (666560,6133440) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=66560 og z=66560.
DOI: 10.21994/loar8422
title: Danmark i Minecraft (717760,6205120) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (717760,6205120) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=117760 og z=-5120.
DOI: 10.21994/loar8375
title: Danmark i Minecraft (697280,6082240) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (697280,6082240) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=97280 og z=117760.
DOI: 10.21994/loar8310
title: Danmark i Minecraft (666560,6143680) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (666560,6143680) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=66560 og z=56320.
DOI: 10.21994/loar8408
title: Danmark i Minecraft (707520,6225600) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (707520,6225600) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=107520 og z=-25600.
DOI: 10.21994/loar7931
title: Danmark i Minecraft (523200,6072000) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (523200,6072000) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-76800 og z=128000.
DOI: 10.21994/loar8095
title: Danmark i Minecraft (553920,6082240) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (553920,6082240) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-46080 og z=117760.
DOI: 10.21994/loar8456
title: Danmark i Minecraft (625600,6092480) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (625600,6092480) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=25600 og z=107520.
DOI: 10.21994/loar8550
title: Danmark i Minecraft (523200,6338240) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (523200,6338240) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-76800 og z=-138240.
DOI: 10.21994/loar8492
title: Danmark i Minecraft (635840,6061760) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (635840,6061760) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=35840 og z=138240.
DOI: 10.21994/loar8247
title: Danmark i Minecraft (564160,6215360) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (564160,6215360) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-35840 og z=-15360.
DOI: 10.21994/loar8425
title: Danmark i Minecraft (717760,6194880) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (717760,6194880) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=117760 og z=5120.
DOI: 10.21994/loar8382
title: Danmark i Minecraft (615360,6246080) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (615360,6246080) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=15360 og z=-46080.
DOI: 10.21994/loar8119
title: Danmark i Minecraft (461760,6235840) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (461760,6235840) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-138240 og z=-35840.
DOI: 10.21994/loar8284
title: Danmark i Minecraft (543680,6368960) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (543680,6368960) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-56320 og z=-168960.
DOI: 10.21994/loar8538
title: Danmark i Minecraft (533440,6153920) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (533440,6153920) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-66560 og z=46080.
DOI: 10.21994/loar8215
title: Danmark i Minecraft (574400,6235840) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (574400,6235840) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-25600 og z=-35840.
DOI: 10.21994/loar8288
title: Danmark i Minecraft (656320,6194880) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (656320,6194880) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=56320 og z=5120.
DOI: 10.21994/loar8530
title: Danmark i Minecraft (553920,6317760) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (553920,6317760) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-46080 og z=-117760.
DOI: 10.21994/loar8164
title: Danmark i Minecraft (584640,6266560) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (584640,6266560) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-15360 og z=-66560.
DOI: 10.21994/loar8210
title: Danmark i Minecraft (574400,6368960) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (574400,6368960) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-25600 og z=-168960.
DOI: 10.21994/loar8383
title: Danmark i Minecraft (615360,6256320) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (615360,6256320) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=15360 og z=-56320.
DOI: 10.21994/loar8477
title: Danmark i Minecraft (891840,6112960) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (891840,6112960) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=291840 og z=87040.
DOI: 10.21994/loar8545
title: Danmark i Minecraft (523200,6205120) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (523200,6205120) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-76800 og z=-5120.
DOI: 10.21994/loar8034
title: Danmark i Minecraft (492480,6338240) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (492480,6338240) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=-107520 og z=-138240.
DOI: 10.21994/loar8387
title: Danmark i Minecraft (615360,6338240) UTM32-ETRS89 (øst, nord)

description: Centrum for dette kort er (615360,6338240) i UTM32-ETRS89 (øst, nord). Disse koordinater kan du bruge på et krak-kort i din browser. Kortet er 10*10 km.Centrum for kortet i Minecraft er x=15360 og z=-138240.
DOI: 10.6084/m9.figshare.19319835
title: Improved Method for Evaluating and Specifying the Chromaticity of Light Sources

description: This article describes a method for calculating and specifying light source chromaticity using the International Commission on Illumination (CIE) 2015 10° color matching functions (CMFs), which, according to analysis of existing psychophysical experiment data, can reduce visual mismatch compared to specifications based on the traditional CIE 1931 2° CMFs in architectural lighting applications. Specifically, this work evaluates, documents, and recommends for adoption by lighting standards organizations a supporting system of measures to be used with the CIE 2015 10° CMFs: a new uniform chromaticity scale (UCS) diagram with coordinates (<i>s, t</i>), a measure of correlated color temperature (CCTst), and a measure of distance from the Planckian locus (Dst). It also presents options for updating nominal classification quadrangles. A complete method of this nature has not yet been standardized, which may be contributing to the slow uptake of the CIE 2015 CMFs. The proposed tools are analogous to <i>u, v</i>, CCT, Duv, and the American National Standards Institute (ANSI) C78.377 chromaticity specifications that are all currently defined in the CIE 1960 UCS diagram using the CIE 1931 2° CMFs. While conceptually equivalent, the differences between the current standard method and the proposed <i>st</i> system are important for reducing unintended visual mismatch in the chromaticity of light. The implications of changing chromaticity specification methods are identified by a comparison over a diverse set of real light source spectral power distributions.
DOI: 10.6084/m9.figshare.19319835.v1
title: Improved Method for Evaluating and Specifying the Chromaticity of Light Sources

description: This article describes a method for calculating and specifying light source chromaticity using the International Commission on Illumination (CIE) 2015 10° color matching functions (CMFs), which, according to analysis of existing psychophysical experiment data, can reduce visual mismatch compared to specifications based on the traditional CIE 1931 2° CMFs in architectural lighting applications. Specifically, this work evaluates, documents, and recommends for adoption by lighting standards organizations a supporting system of measures to be used with the CIE 2015 10° CMFs: a new uniform chromaticity scale (UCS) diagram with coordinates (<i>s, t</i>), a measure of correlated color temperature (CCTst), and a measure of distance from the Planckian locus (Dst). It also presents options for updating nominal classification quadrangles. A complete method of this nature has not yet been standardized, which may be contributing to the slow uptake of the CIE 2015 CMFs. The proposed tools are analogous to <i>u, v</i>, CCT, Duv, and the American National Standards Institute (ANSI) C78.377 chromaticity specifications that are all currently defined in the CIE 1960 UCS diagram using the CIE 1931 2° CMFs. While conceptually equivalent, the differences between the current standard method and the proposed <i>st</i> system are important for reducing unintended visual mismatch in the chromaticity of light. The implications of changing chromaticity specification methods are identified by a comparison over a diverse set of real light source spectral power distributions.
DOI: 10.6073/pasta/13b572e5defad924ced3b9a7a514c383
title: Fluxes project at North Temperate Lakes LTER: Random lake survey 2004

description: The overarching goal of this project is to understand carbon and nutrient cycles for a landscape on which terrestrial and freshwater systems are intimately connected in multiple and reciprocal ways. In the Northern Highlands region of Wisconsin, they are studying a spatially complex landscape in which water features make up almost half of the land area, with wetlands (27% of land surface) and lakes (13%) both prevalent throughout the region, interspersed in upland forests. Weather and limnological data from a set of 170 lakes in the NHLD samples summer 2004. The sampled lakes were from a random stratified subsample (N=300 of 7588 total) of all the lakes in the NHLD.
DOI: 10.6073/pasta/3551eec818def1fd8dc2d86d86ac5941
title: Cascade Project at North Temperate Lakes LTER cross-lakes comparison carbon Data 1988 - 2007

description: Data on dissolved organic and inorganic carbon as well as particulate organic matter and the partial pressure of CO2. Samples were collected with a Van Dorn bottle. Organic samples were collected from the epilimnion, metalimnion, and hypolimnion. Inorganic samples were collected at depths corresponding to 100%, 50%, 25%, 10%, 5%, and 1% of surface irradiance, as well as one sample from the hypolimnion. Samples for the partial pressure of CO2 were collected from two meters above the lake surface (air) and just below the lake surface (water).
DOI: 10.5281/zenodo.7406665
title: An epithelial cell-derived metabolite tunes immunoglobulin A secretion by gut resident plasma cells - Microbiome Analysis

description: Dataset and code to reproduce microbiome analysis for "An epithelial cell-derived metabolite tunes immunoglobulin A secretion by gut resident plasma cells" Abstract: Immunoglobulin A (IgA) secretion by plasma cells, terminally differentiated B cells residing in the intestinal lamina propria, assures microbiome homeostasis and protects the host against enteric infections. Exposure to diet-derived and commensal-derived signals provides immune cells with organizing cues that instruct their effector function and dynamically shape intestinal immune responses at the mucosal barrier. Recent data have described metabolic and microbial inputs controlling T cell and innate lymphoid cell activation in the gut; however, whether IgA-secreting lamina propria plasma cells are tuned by local stimuli is completely unknown. While antibody secretion is considered to be imprinted during B cell differentiation and therefore largely unaffected by environmental changes, a rapid modulation of IgA levels in response to intestinal fluctuations might be beneficial to the host. Here we showed that dietary cholesterol absorption and commensal recognition by duodenal intestinal epithelial cells lead to the production of oxysterols, evolutionarily conserved lipids with immunomodulatory functions. Using conditional CH25H deleter mouse line we demonstrated that 7a,25-HC from epithelial cells is critical to restrain IgA secretion against commensal and pathogen-derived antigens in the gut. Intestinal plasma cells sense oxysterols via the chemoattractant receptor GPR183 and couple their tissue positioning with IgA secretion. Our findings revealed a new mechanism linking dietary cholesterol and humoral immune responses centered around plasma cell localization for efficient mucosal protection.
DOI: 10.5281/zenodo.7406664
title: An epithelial cell-derived metabolite tunes immunoglobulin A secretion by gut resident plasma cells - Microbiome Analysis

description: Dataset and code to reproduce microbiome analysis for "An epithelial cell-derived metabolite tunes immunoglobulin A secretion by gut resident plasma cells" Abstract: Immunoglobulin A (IgA) secretion by plasma cells, terminally differentiated B cells residing in the intestinal lamina propria, assures microbiome homeostasis and protects the host against enteric infections. Exposure to diet-derived and commensal-derived signals provides immune cells with organizing cues that instruct their effector function and dynamically shape intestinal immune responses at the mucosal barrier. Recent data have described metabolic and microbial inputs controlling T cell and innate lymphoid cell activation in the gut; however, whether IgA-secreting lamina propria plasma cells are tuned by local stimuli is completely unknown. While antibody secretion is considered to be imprinted during B cell differentiation and therefore largely unaffected by environmental changes, a rapid modulation of IgA levels in response to intestinal fluctuations might be beneficial to the host. Here we showed that dietary cholesterol absorption and commensal recognition by duodenal intestinal epithelial cells lead to the production of oxysterols, evolutionarily conserved lipids with immunomodulatory functions. Using conditional CH25H deleter mouse line we demonstrated that 7a,25-HC from epithelial cells is critical to restrain IgA secretion against commensal and pathogen-derived antigens in the gut. Intestinal plasma cells sense oxysterols via the chemoattractant receptor GPR183 and couple their tissue positioning with IgA secretion. Our findings revealed a new mechanism linking dietary cholesterol and humoral immune responses centered around plasma cell localization for efficient mucosal protection.
DOI: 10.6073/pasta/6c33eef8fa88832030fbbcc79e02d326
title: WDNR Yahara Lakes Fisheries: Fish Lengths and Weights 1987-1998

description: These data were collected by the Wisconsin Department of Natural Resources (WDNR) from 1987-1998. Most of these data (1987-1993) precede 1995, the year that the University of Wisconsin NTL-LTER program took over sampling of the Yahara Lakes. However, WDNR data collected from 1997-1998 (unrelated to LTER sampling) is also included. In 1987 a joint project by the WDNR and the University of Wisconsin-Madison, Center for Limnology (CFL) was initiated on Lake Mendota. The project involved biomanipulation of fish communities within the lake, which was acheived by stocking game fish species (northern pike and walleye). The goal was to induce a trophic cascade that would improve the water clarity of Lake Mendota. See Lathrop et al. 2002. Stocking piscivores to improve fishing and water clarity: a synthesis of the Lake Mendota biomanipulation project. Freshwater Biology 47, 2410-2424. In collecting these data, the objective was to gather population data and monitor populations to track the progress of the biomanipulation. The data is dominated by an assesssment of the game fishery in Lake Mendota, however other Yahara Lakes and non-game fish species are also represented. A combination of gear types was used to gather the population data including boom shocking, fyke netting, mini-fyke netting, seining, and gill netting. Not every sampling year includes length and weight data from all gear types. The WDNR also carried out randomized, access-point creel surveys to estimate fishing pressure, catch rates, harvest, and exploitation rates. Five data files each include length-weight data, and are organized by the type of gear or method which was used to collect the data: 1) fyke, mini-fyke, and seine netting 2) boom shocking 3) gill netting (1993 only) 4)walleye age as determined by scale and spine analysis (1987 only), and 5) creel survey. The final data file contains creel survey information: number of anglers fishing the shoreline, and number of anglers that started and completed trips from public and private access points.
DOI: 10.21227/j6mb-ap19
title: CRAWDAD tuc/mysignals

description: Community RF Sensing via iPhones for Source Localization and Coverage MapsMySignals dataset was collected by a network of approx. 10 mobile smartphone (iPhones) users via the MySignals iPhone App (www.mysignals.gr) for a period of approximately 8 months. MySignal App records the received signal strength indicator (RSSI), in dBm, of the mobile serving cell, as well as their own location, through the GPS module of their smartphone and other contextual information (timestamp, deviceID etc.). Measurements and relevant information (e.g. c ell ID, downlink carrier frequency and mobile user location) are saved temporarily in a local sqlite DB and uploaded periodically at a central web server DB for permanent storage. The systems allowed crowdsourcing in an automated and user transparent-way. The systems allowed crowdsourcing in an automated and user transparent-way and no personal identifiers were collected. The published data contains approximately 3 million GSM measurements and they are a subset of the entire MySignals dataset, utilized primarily for RF Source (e.g. GSM Base Station) localization case study and localization algorithm developme nt. The reported measurements were collected in Chania, Greece for one central Base Stations (BS) for a major Greek Cellular provider. The massive dataset along with the novel Particle Filtering localization algorithm, allowed RF source location estimation error on the order of 50m, with the phones-sensors located in a grid of approx. 1000m x 1000m. Although the reported data were primarily used for BS localization, they were also used as mobile coverage maps; for example, cove rage holes were able to be discovered. At a glance, each of the recorded measurements contains the following fields: timestamp, iPhoneUUID, RSS1, RSS5, latitude, longitude, accuracy, cellID, lac, mac, arfcn, etc. DOI: 10.15783/c7-3bk9-9t96 http://doi.org/10.15783/c7-3bk9-9t96 Start date: 2012-09-01, end date: 2013-04-15 nickname: mysignals   date/time of measurement start: 2012-09-01date/time of measurement end: 2013-04-15Tracesettuc/mysignals/mysignals-datasetfile: mysignals_dataset.zipdescription: MySignals dataset was collected by a newtork of approximately 10 mobile smartphone (iPhones) users via the MySignals iPhone App (www.mysignals.gr) for a period of approximately 8 months. Start date: 2012-09-01 end date: 2013-04-15tuc/mysignals/mysignals-dataset Trace
DOI: 10.6073/pasta/3038657d166a8675a3e383e9a1bbd9a7
title: Rainfall at El Verde Field Station, Rio Grande, Puerto Rico since 1975

description: Rainfall has been measured at the El Verde Field Station since 1964. McDowell and Estrada-Pinto, 1988 presents a description of the collection procedures, raw data from 1964 to 1986, and some summary statistics for this period of record. Precipitation for this period showed some seasonality in monthly means, with a peak in May. Monthly averages for the period of 1975 to current chart can be found at this site. The highest values for the monthly averages for the period of 1975 to 2000 are from August to December with a low in October and November the highest. In this period the highest amount of total annual rainfall was in 1998 with 5293.61 mm and the minimum in 1994 with 1402.87 mm.