cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/zfhcti/tk6fhf
title: GY2004.tif

description: :unav
DOI: 10.7910/dvn/zfhcti/blwf23
title: GY2007.tif

description: :unav
DOI: 10.7910/dvn/zfhcti/ecx0ub
title: GY2012.tif

description: :unav
DOI: 10.7910/dvn/zfhcti/grxotu
title: GY2009.tif

description: :unav
DOI: 10.7910/dvn/zfhcti/j5xk4v
title: GY2008.tif

description: :unav
DOI: 10.7910/dvn/zfhcti/mdfvjl
title: GY2006.tif

description: :unav
DOI: 10.7910/dvn/zfhcti/nrejxh
title: GY2010.tif

description: :unav
DOI: 10.7910/dvn/zfhcti/qjqzp7
title: GY2011.tif

description: :unav
DOI: 10.7910/dvn/zfhcti/zu2w77
title: GY2013.tif

description: :unav
DOI: 10.3886/e100556
title: IMLS FY 1992-2012 Public Libraries Survey Trends

description: The Public Libraries Survey (PLS) examines when, where, and how library services are changing to meet the needs of the public. These data, supplied annually by public libraries across the country, provide information that policymakers and practitioners can use to make informed decisions about the support and strategic management of libraries.<br><br>Purpose: The survey provides statistics on the status of public libraries in the United States.<br><br>Coverage: The data are collected from approximately 9,000 public libraries with approximately 17,000 individual public library outlets (main libraries, branches, and bookmobiles) in the 50 states, the District of Columbia, and outlying territories. Content: Data includes information about library visits, circulation, size of collections, public service hours, staffing, electronic resources, operating revenues and expenditures and number of service outlets. Learn more about PLS data element definitions.
DOI: 10.3886/e100556v1-13761
title: IMLS FY 1992-2012 Public Libraries Survey Trends

description: The Public Libraries Survey (PLS) examines when, where, and how library services are changing to meet the needs of the public. These data, supplied annually by public libraries across the country, provide information that policymakers and practitioners can use to make informed decisions about the support and strategic management of libraries.<br><br>Purpose: The survey provides statistics on the status of public libraries in the United States.<br><br>Coverage: The data are collected from approximately 9,000 public libraries with approximately 17,000 individual public library outlets (main libraries, branches, and bookmobiles) in the 50 states, the District of Columbia, and outlying territories. Content: Data includes information about library visits, circulation, size of collections, public service hours, staffing, electronic resources, operating revenues and expenditures and number of service outlets. Learn more about PLS data element definitions.
DOI: 10.7910/dvn/zfhcti/7dgfwu
title: GY2015.tif

description: :unav
DOI: 10.7910/dvn/zfhcti/abydsx
title: GY2017.tif

description: :unav
DOI: 10.7910/dvn/zfhcti/bxh91f
title: GY2016.tif

description: :unav
DOI: 10.7910/dvn/zfhcti/fcpzmn
title: key_etc.txt

description: :unav
DOI: 10.7910/dvn/zfhcti/iz8jfr
title: GY2014.tif

description: :unav
DOI: 10.5281/zenodo.3468950
title: ENERIT module outcomes for the 3 pilot sites on which the module has been deployed during the HIT2GAP project

description: This dataset consists of data generated by the ENERIT module (Energy Management module) during its running on three pilot sites of the HIT2GAP project (Challenger (France), Nanogune (Spain), Wilanow (Poland)). Each dataset consists of 3 subsets: Monthly Energy Consumption Data collected from Jan 2016 to August 2019 (42 Months) Yearly Significant Energy Uses identified at the sites Yearly Improvement Opportunities identified for each site Metadata Description: 1. Monthly Energy Consumption: Type (<em>Fuel type</em>) Location <em>(Building reference)</em> Meter (<em>Meter title)</em> From (<em>Start date for reading)</em> To (<em>End date for reading)</em> Cost<em> (€)</em> Energy<em> (kWh)</em> Primary energy <em>(kWh)</em> CO2 (<em>kgCO2</em>) 2. Yearly Significant Energy Uses Name Location (<em>Building reference)</em> Year Significant Energy Use <em>(is this Energy Use considered Significant)</em> Energy Flow Entry <em>(Should it appear in the Energy Flow diagram)</em> Details Objectives<em> (Description of what is planned to save energy for this Energy Use)</em> Target <em>(Target saving - text)</em> Elec Target<em> (Target – numeric)</em> Therm Target<em> (Target – numeric)</em> Annual Elect Energy Annual Elec Cost Annual Elec CO2 Annual Therm Energy Annual Therm Cost Annual Therm CO2 Water Quantity Water Cost Linked Elect Meters (<em>Meter descriptions that data is automatically populated from)</em> Linked Therm Meters (<em>Meter descriptions that data is automatically populated from)</em> 3. Yearly Improvement Opportunities Reference: Identifier Title: Location (<em>Building reference)</em> Year Type <em>(</em><em>Type of improvement Opportunity)</em> Category Sub-Category Significant Energy Use <em>(Energy use that this Improvement Opportunity was assigned against)</em> Details Requestor (<em>user who raised the IO)</em> Energy Manager<em> (Site Energy Manager)</em> Est. Elec. Energy<em> (kWh</em>) Est. Elec. Cost <em>(€)</em> Est. Elec. CO2 (kgCO2) Est. Therm. Energy<em> (kWh)</em> Est. Therm. Cost <em>(€)</em> Est. Therm. CO2 <em>(kgCO2)</em> Actual Elec. Energy Actual Elec. Cost Actual Elec. CO2 Actual Therm. Energy Actual Therm. Cost Actual Therm. CO2 Comments Co-Benefit Details Capital Cost<em> (€)</em> Estimated Payback<em> (Years)</em> Payback <em>(Years)</em> Unit (Energy) Unit (Currency) Unit (CO2) Status Complexity EHS Energy Use Maintenance Verification Method Notes for Assignee Currently With (Person currently responsible for IO)
DOI: 10.5281/zenodo.3468951
title: ENERIT module outcomes for the 3 pilot sites on which the module has been deployed during the HIT2GAP project

description: This dataset consists of data generated by the ENERIT module (Energy Management module) during its running on three pilot sites of the HIT2GAP project (Challenger (France), Nanogune (Spain), Wilanow (Poland)). Each dataset consists of 3 subsets: Monthly Energy Consumption Data collected from Jan 2016 to August 2019 (42 Months) Yearly Significant Energy Uses identified at the sites Yearly Improvement Opportunities identified for each site Metadata Description: 1. Monthly Energy Consumption: Type (<em>Fuel type</em>) Location <em>(Building reference)</em> Meter (<em>Meter title)</em> From (<em>Start date for reading)</em> To (<em>End date for reading)</em> Cost<em> (€)</em> Energy<em> (kWh)</em> Primary energy <em>(kWh)</em> CO2 (<em>kgCO2</em>) 2. Yearly Significant Energy Uses Name Location (<em>Building reference)</em> Year Significant Energy Use <em>(is this Energy Use considered Significant)</em> Energy Flow Entry <em>(Should it appear in the Energy Flow diagram)</em> Details Objectives<em> (Description of what is planned to save energy for this Energy Use)</em> Target <em>(Target saving - text)</em> Elec Target<em> (Target – numeric)</em> Therm Target<em> (Target – numeric)</em> Annual Elect Energy Annual Elec Cost Annual Elec CO2 Annual Therm Energy Annual Therm Cost Annual Therm CO2 Water Quantity Water Cost Linked Elect Meters (<em>Meter descriptions that data is automatically populated from)</em> Linked Therm Meters (<em>Meter descriptions that data is automatically populated from)</em> 3. Yearly Improvement Opportunities Reference: Identifier Title: Location (<em>Building reference)</em> Year Type <em>(</em><em>Type of improvement Opportunity)</em> Category Sub-Category Significant Energy Use <em>(Energy use that this Improvement Opportunity was assigned against)</em> Details Requestor (<em>user who raised the IO)</em> Energy Manager<em> (Site Energy Manager)</em> Est. Elec. Energy<em> (kWh</em>) Est. Elec. Cost <em>(€)</em> Est. Elec. CO2 (kgCO2) Est. Therm. Energy<em> (kWh)</em> Est. Therm. Cost <em>(€)</em> Est. Therm. CO2 <em>(kgCO2)</em> Actual Elec. Energy Actual Elec. Cost Actual Elec. CO2 Actual Therm. Energy Actual Therm. Cost Actual Therm. CO2 Comments Co-Benefit Details Capital Cost<em> (€)</em> Estimated Payback<em> (Years)</em> Payback <em>(Years)</em> Unit (Energy) Unit (Currency) Unit (CO2) Status Complexity EHS Energy Use Maintenance Verification Method Notes for Assignee Currently With (Person currently responsible for IO)
DOI: 10.21227/35qs-7q66
title: Bug reports for learning noun-group patterns and assembling dependent bug reports

description: This data set consists of1 Data set for learning noun-group patterns (from core products)2 Data sets for the experiment assemble dependent bug reports (from Firefix product)
DOI: 10.21227/pfk0-9s47
title: Bug reports for learning noun-group patterns and assembling dependent bug reports

description: This data set consists of1 Data set for learning noun-group patterns (from core products)2 Data sets for the experiment assemble dependent bug reports (from Firefix product)
DOI: 10.3886/e100556v1-13763
title: IMLS FY 1992-2012 Public Libraries Survey Trends

description: The Public Libraries Survey (PLS) examines when, where, and how library services are changing to meet the needs of the public. These data, supplied annually by public libraries across the country, provide information that policymakers and practitioners can use to make informed decisions about the support and strategic management of libraries.<br><br>Purpose: The survey provides statistics on the status of public libraries in the United States.<br><br>Coverage: The data are collected from approximately 9,000 public libraries with approximately 17,000 individual public library outlets (main libraries, branches, and bookmobiles) in the 50 states, the District of Columbia, and outlying territories. Content: Data includes information about library visits, circulation, size of collections, public service hours, staffing, electronic resources, operating revenues and expenditures and number of service outlets. Learn more about PLS data element definitions.
DOI: 10.25606/surf.578c6039-02b8aff5
title: The Cosmogrid Simulation: Statistical Properties of Small Dark Matter Halos (2048-179)

description: We present the results of the "Cosmogrid" cosmological N-body simulation suites based on the concordance LCDM model. The Cosmogrid simulation was performed in a 30 Mpc box with 2048³ particles. The mass of each particle is 1.28x10^5 Msun, which is sufficient to resolve ultra-faint dwarfs. We found that the halo mass function shows good agreement with the Sheth & Tormen fitting function down to ~10^7 Msun. We have analyzed the spherically averaged density profiles of the three most massive halos which are of galaxy group size and contain at least 170 million particles. The slopes of these density profiles become shallower than -1 at the inner most radius. We also find a clear correlation of halo concentration with mass. The mass dependence of the concentration parameter cannot be expressed by a single power law, however a simple model based on the Press-Schechter theory proposed by Navarro et al. gives reasonable agreement with this dependence. The spin parameter does not show a correlation with the halo mass. The probability distribution functions for both concentration and spin are well fitted by the log-normal distribution for halos with the masses larger than ~10^8 Msun. The subhalo abundance depends on the halo mass. Galaxy-sized halos have 50% more subhalos than ~10^11 Msun halos have. This is snapshot 179 of the 2048³ resolution collection.
DOI: 10.25934/00000633.0
title: Available IPD datapackage for study 'Durable-Response Therapy Evaluation For Early or New-Onset Type 1 Diabetes - DEFEND'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00000633.1
title: IPD datapackage for study 'Durable-Response Therapy Evaluation For Early or New-Onset Type 1 Diabetes - DEFEND' and research request: 'Interleukin-6 distribution in plasma/serum'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5281/zenodo.3463482
title: Datasets for "The hydro-climate and freshwater supply of High-Mountain Asia under warming climate conditions"

description: This repository contains ensemble-mean fields and corresponding standard deviations of post-processed outputs of CMIP5 models for three RCP scenarios (RCP2.6, RCP4.5 and RCP8.5) described in a manuscript "The hydro-climate and freshwater supply of High-Mountain Asia under warming climate conditions". Each netcdf file contains one field (either an ensemble mean of a standard deviation). The fields are the following: Positive Degree Days (PDD), Total Precipitation (Ptotal), Liquid Precipitation (PLiquiq), Frozen Precipitation (Pfrozen) and Glaciers Mass Balance (MB).
DOI: 10.5281/zenodo.3463483
title: Datasets for "The hydro-climate and freshwater supply of High-Mountain Asia under warming climate conditions"

description: This repository contains ensemble-mean fields and corresponding standard deviations of post-processed outputs of CMIP5 models for three RCP scenarios (RCP2.6, RCP4.5 and RCP8.5) described in a manuscript "The hydro-climate and freshwater supply of High-Mountain Asia under warming climate conditions". Each netcdf file contains one field (either an ensemble mean of a standard deviation). The fields are the following: Positive Degree Days (PDD), Total Precipitation (Ptotal), Liquid Precipitation (PLiquiq), Frozen Precipitation (Pfrozen) and Glaciers Mass Balance (MB).
DOI: 10.3886/e100556v1-13765
title: IMLS FY 1992-2012 Public Libraries Survey Trends

description: The Public Libraries Survey (PLS) examines when, where, and how library services are changing to meet the needs of the public. These data, supplied annually by public libraries across the country, provide information that policymakers and practitioners can use to make informed decisions about the support and strategic management of libraries.<br><br>Purpose: The survey provides statistics on the status of public libraries in the United States.<br><br>Coverage: The data are collected from approximately 9,000 public libraries with approximately 17,000 individual public library outlets (main libraries, branches, and bookmobiles) in the 50 states, the District of Columbia, and outlying territories. Content: Data includes information about library visits, circulation, size of collections, public service hours, staffing, electronic resources, operating revenues and expenditures and number of service outlets. Learn more about PLS data element definitions.
DOI: 10.7910/dvn/zsbz7k/h5idta
title: cces18_common_vv.dta

description: Stata data file
DOI: 10.5519/qd.580eywwm
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1279 records)
DOI: 10.25345/c5rh3n
title: MassIVE MSV000084407 - trial_raw_conversion_CF_2019_10
title: Lysosomal metabolome of cells. Data provided by Monther Abu-Remaileh
DOI: 10.21227/rzzv-j785
title: Ruling Power Tautology: Error in Big Bang Theory

description: -If Ruling Power were able and willing to create Sun/Mars, he would do so. If Ruling Power were unable to create Sun/Mars, he would be incapable; if he were unwilling to create Sun/Mars, he would be malevolent. Ruling Power creates Sun/Mars. If Ruling Power exists, he is neither incapable nor malevolent. Therefore, Ruling Power exists. The World of PC can’t be created itself just from one factor light. I (programmer) die & consequently light (big bang) become useless.
DOI: 10.7910/dvn/imvrjg/6wc7tu
title: bilateral_for_ddd_analysis_2017_07.tab

description: :unav
DOI: 10.7910/dvn/imvrjg/pceqap
title: bilateral_treaties_final.tab

description: :unav
DOI: 10.7910/dvn/imvrjg/xv48oi
title: confboardcow2.tab

description: :unav
DOI: 10.7910/dvn/imvrjg/y64gb7
title: colony1.tab

description: :unav
DOI: 10.7910/dvn/imvrjg/34gjny
title: Figure2_sub3.png

description: :unav
DOI: 10.7910/dvn/imvrjg/5zxop3
title: migdata_dyads_2017_07_17.tab

description: :unav
DOI: 10.7910/dvn/imvrjg/ax7ze8
title: econ_wti_COW_ct2_ct1.tab

description: :unav
DOI: 10.7910/dvn/imvrjg/dpwvxe
title: Online-Appendices_2018_02.pdf

description: :unav
DOI: 10.7910/dvn/imvrjg/epdhjp
title: Graph_treaty_by_year_bw(1).tif.part

description: :unav
DOI: 10.7910/dvn/imvrjg/q7ixmk
title: README.rtf

description: :unav
DOI: 10.7910/dvn/imvrjg/qkt1v6
title: Figure3_sub2.png

description: :unav
DOI: 10.7910/dvn/imvrjg/yvj1q5
title: wdi_indicators_ct2.tab

description: :unav
DOI: 10.7910/dvn/imvrjg/4ehyz8
title: Figure2_sub2.png

description: :unav
DOI: 10.7910/dvn/imvrjg/8yyhxo
title: econ_wti_COW.tab

description: :unav
DOI: 10.7910/dvn/imvrjg/cqqbqa
title: ipe_dyads_2017_07_17.csv

description: :unav
DOI: 10.7910/dvn/imvrjg/fgkgo0
title: dist_dyads_2017_07_17.csv

description: :unav
DOI: 10.7910/dvn/imvrjg/t2ywws
title: Graph_treaty_by_year_bw(1).tif

description: :unav
DOI: 10.7910/dvn/imvrjg/thjadl
title: Synthetic_controls_replication.do

description: :unav
DOI: 10.7910/dvn/imvrjg/tusgof
title: Figure3_sub3.png

description: :unav
DOI: 10.7910/dvn/imvrjg/uxgzpz
title: wdi_indicators_ct1.tab

description: :unav
DOI: 10.7910/dvn/imvrjg/wwupty
title: Relogit.do

description: :unav
DOI: 10.7910/dvn/imvrjg/a2ohna
title: Figure3_sub1.png

description: :unav
DOI: 10.7910/dvn/imvrjg/eh6ofp
title: colony2.tab

description: :unav
DOI: 10.7910/dvn/imvrjg/ht4j74
title: confboardcow1.tab

description: :unav
DOI: 10.7910/dvn/imvrjg/imolur
title: Regression_analysis_replication.do

description: :unav
DOI: 10.7910/dvn/imvrjg/lmc32i
title: polity_dyads_2017_07_17.tab

description: :unav
DOI: 10.7910/dvn/imvrjg/mgiv76
title: Descriptive_Stats_Replication.do

description: :unav
DOI: 10.7910/dvn/imvrjg/sjmm5b
title: immipolfortreaty.tab

description: :unav
DOI: 10.7910/dvn/imvrjg/ty7lfh
title: Graph_treaty_by_year_bw.tif

description: :unav
DOI: 10.7910/dvn/imvrjg/yievn3
title: directed_dyads_2017_07_17.tab

description: :unav
DOI: 10.7910/dvn/imvrjg/66xn8q
title: Figure2_sub1.png

description: :unav
DOI: 10.7910/dvn/imvrjg/dfs6da
title: polconfortreaty_2017.tab

description: :unav
DOI: 10.7910/dvn/imvrjg/s9mqgq
title: leblang_flow_data.tab

description: :unav
DOI: 10.7910/dvn/4izykk/4wsic3
title: DatafileThesisPhD.tab

description: Ethical Leadership, Moral Motivation & Moral Judgment
DOI: 10.7910/dvn/6eozay/2fdt4q
title: appendix(1).docx

description: :unav
DOI: 10.7910/dvn/6eozay/43w34n
title: dietrichcrabtree.csv

description: :unav
DOI: 10.7910/dvn/6eozay/eab7b2
title: ate.pdf

description: :unav
DOI: 10.5281/zenodo.3470117
title: Festival of Frequency Measurement 1 October 2019

description: Festival of Frequency Measurement 1 October 2019 Robert, VA3ROM Thunder Bay Ontario Canada 48.452682 -89.20975 216 m ASL At start of event SFI=68 A=14 K=2 and at end of event SFI=68 A=14 K=0. File 1 created usging Fldigi 4.1.08 + PowerSDR (KE9NS version) + Flex-1500 SDR + GDPSDO + ground-mounted vertical (resonant on 30 m band). File 2 created using Fldigi 4.1.08 + SDRuno + RSPduo (no GPSDO) + 80 m 1/4 wave sloping dipole orientated and sloping down from north (6 m AGL) to-south (1 M AGL). Everything ran fully automatic so no problems encountered thanks to a couple of days of preparations to setup receivers, antennas and software and emergency backup power (just in case). I was also able to record WWV's received dBm and SNR values with the SDRuno software if that data would be of any value to see how it would relate to frequency shifts of the time signal over time go hand--in-hand or not. 73.
DOI: 10.5281/zenodo.3470118
title: Festival of Frequency Measurement 1 October 2019

description: Festival of Frequency Measurement 1 October 2019 Robert, VA3ROM Thunder Bay Ontario Canada 48.452682 -89.20975 216 m ASL At start of event SFI=68 A=14 K=2 and at end of event SFI=68 A=14 K=0. File 1 created usging Fldigi 4.1.08 + PowerSDR (KE9NS version) + Flex-1500 SDR + GDPSDO + ground-mounted vertical (resonant on 30 m band). File 2 created using Fldigi 4.1.08 + SDRuno + RSPduo (no GPSDO) + 80 m 1/4 wave sloping dipole orientated and sloping down from north (6 m AGL) to-south (1 M AGL). Everything ran fully automatic so no problems encountered thanks to a couple of days of preparations to setup receivers, antennas and software and emergency backup power (just in case). I was also able to record WWV's received dBm and SNR values with the SDRuno software if that data would be of any value to see how it would relate to frequency shifts of the time signal over time go hand--in-hand or not. 73.
DOI: 10.7910/dvn/6eozay/9hdulu
title: dietrichcrabtree.R

description: :unav
DOI: 10.21227/ar5j-a388
title: Ruling Power Tautology: Error in Big Bang Theory

description: -If Ruling Power were able and willing to create Sun/Mars, he would do so. If Ruling Power were unable to create Sun/Mars, he would be incapable; if he were unwilling to create Sun/Mars, he would be malevolent. Ruling Power creates Sun/Mars. If Ruling Power exists, he is neither incapable nor malevolent. Therefore, Ruling Power exists. The World of PC can’t be created itself just from one factor light. I (programmer) die & consequently light (big bang) become useless.
DOI: 10.25345/c5mt1r
title: MassIVE MSV000084408 - Tandem Mass Tags of Borrelia burgdorferi B31 derivative ML23 and SR0736 sRNA mutant grown in vitro at mammalian-like conditions
title: Borrelia burgdorferi B31 derivative strain ML23 and SR0736 sRNA mutant grown in vitro in mammalian-like conditions 37C, 5%CO2, pH 6.8
DOI: 10.7910/dvn/gxjibf/ys9av9
title: poultryDataset_Babati_ 2015-2018.xls

description: :unav
DOI: 10.7910/dvn/f3ehol/tjsrnf
title: Combined Dataset_SID_MID_March2019_Final.tab

description: :unav
DOI: 10.5281/zenodo.3469888
title: Supplementary material to Republic of Moldova project report Free University Berlin

description: This is supplementary material for the project of the Freie Universität Berlin with the title: <strong>Anwendung geoarchäoogischer Methoden zum Verständnis anthropogener Spuren der Poineşti-Lucaşeuca Kultur in Ivancea-Sub Pădure, Republik Moldau. </strong>The project was carried out by students during the module Projekt I at the Freien Universität Berlin. Fieldwork was conducted 16th - 23rd September 2018in the vicinity of Ivancea (central Moldova), about 30km north of the capital Chisinau.
DOI: 10.5281/zenodo.3469889
title: Supplementary material to Republic of Moldova project report Free University Berlin

description: This is supplementary material for the project of the Freie Universität Berlin with the title: <strong>Anwendung geoarchäoogischer Methoden zum Verständnis anthropogener Spuren der Poineşti-Lucaşeuca Kultur in Ivancea-Sub Pădure, Republik Moldau. </strong>The project was carried out by students during the module Projekt I at the Freien Universität Berlin. Fieldwork was conducted 16th - 23rd September 2018in the vicinity of Ivancea (central Moldova), about 30km north of the capital Chisinau.