cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xuxa73
title: Occurrence Download

description: A dataset containing 1770418740 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 1770418740 records from 19396 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011175-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/pkcm6a
title: 0937.wav

description: :unav
DOI: 10.15468/dl.4zrwk5
title: Occurrence Download

description: A dataset containing 176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Megaoryzomys curioi (Niethammer, 1964)"
 ]
}

 The dataset includes 176 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091547-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xgr6g2
title: Occurrence Download

description: A dataset containing 211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 211 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091546-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7803/277.15.1.2.10
title: Referenz-Betriebs-System 38 (Umfrage 1/2015): Ausbildung von Studienabbrechern (GWA)
title: Reference-Establishment System 38 (No. 1/2015) (GWA)

description: Hauptdatensatz
description: Mit dem Referenz-Betriebs-System (RBS) werden derzeit rund 1.200 Betriebe etwa ein- bis zweimal im Jahr zu aktuellen Fragestellungen der betrieblichen Berufsausbildung und seit 2010 auch zur aktuellen Geschäftslage befragt.
description: Das Thema des RBS 38 lautet "Ausbildung von Studienabbrechern".
description: Self-administered questionnaire: Paper
description: Betriebe in Deutschland
description: Access-Panel
DOI: 10.60600/yu/clawet/z5tvkv
title: 0695.TextGrid

description: :unav
DOI: 10.5281/zenodo.10869015
title: Global shipping emissions from 2019 to 2020

description: The shipping emission datasets of the globe with 9 species (NOx, CO, HC, SO2, PM2.5, CO2,   N2O, CH4 and BC) with a spatial resolution of 0.1o × 0.1o, the temporal resolution of days from 2019 to 2020 were established based on SEIMv2.1 (Sipping Emission Inventory Model). SEIMv2.1 is an updated version of SEIMv2.0 (https://acp.copernicus.org/articles/21/13835/2021/), which integrates the latest emission factors from the International Maritime Organization (IMO) Fourth GHG Study and the BC calculation module. In addition, this dataset also includes a set of continental voyage-based shipping emission data from 2019 to 2020. The voyage identification employed the VoySEIM (Voyage-based Shipping Emission Inventory Model, https://www.nature.com/articles/s41558-021-01176-6).
description: Dataset information





spatial_2019_2020_month.csv: Spatial distribution of global shipping emissions with a 0.1°×0.1° resolution



year: 2019 and 2020

month: from 1 to 12

lon: longitude, ranging from -180 to 180

lat: latitude, ranging from -90 to 90

name of 9 species: shipping emissions, in the unit of ton





timeseries_2019_2020_by_typeMerge.csv



date: yyyy-mm-dd

typeMerge: category of vessels

name of 9 species: shipping emissions, in the unit of ton





timeseries_2019_2020_by_status.csv



date: yyyy-mm-dd

status: operating status of a vessel, including:



At sea: main engine load of a vessel above 20% MCR

Maneuvering: main engine load of a vessel less than 20% MCR but speed of a vessel greater than 3 knot

At anchorage: main engine load of a vessel less than 20% MCR but speed of a vessel between 1 and 3 knot

At berth: main engine load of a vessel less than 20% MCR but speed of a vessel less than 1 knot



name of 9 species: shipping emissions, in the unit of ton





continent_shipping_emissions.csv



origin_c: the name of the continent where the voyage starts

destination_c: the name of the continent where the voyage ends

year: 2019 and 2020

date: mm-dd

speed: average speed of voyages, knot

name of 9 species: shipping emissions, in the unit of ton
DOI: 10.7803/203.12.1.8.20
title: BIBB-Schulabgängerbefragung 2012 (CF)
title: BIBB School Graduate Survey 2012 (CF)

description: Hauptdatensatz
description: Befragung von Schulabgängern und Schulabgängerinnen aus allgemeinbildenden und beruflichen Schulen sowie beruflichen Vollzeitschulen zu den beruflichen Orientierungen der Jugendlichen und ihrem Berufswahlverhalten (Verbleib).
description: Telephone interview: CATI
description: alle in Privathaushalten lebenden deutschsprechenden Personen ab 14 Jahre in der Bundesrepublik Deutschland, die im Erhebungsjahr die allgemeinbildende Schule oder eine Schule oder Maßnahme zur beruflichen Grundbildung oder Berufsvorbereitung verlassen haben
description: ADM-Telefonstichprobendesign
DOI: 10.60600/yu/clawet/nkyay0
title: 1051.wav

description: :unav
DOI: 10.5281/zenodo.10869014
title: Global shipping emissions for the years 2013 and 2016-2021

description: The shipping emission datasets of the globe with 9 species (NOx, CO, HC, SO2, PM2.5, CO2,   N2O, CH4, and BC) with a spatial resolution of 0.1o × 0.1o, the temporal resolution of days for the years 2013 and 2016-2021 were established based on SEIM (Sipping Emission Inventory Model). Based on well-cleaned AIS (Automatic Identification System) data and  STSD (Ship Technical Specifications Database), SEIM model can simulate ship emissions for every ship by every two subsequent AIS signals, which are typically only a few seconds or tens of seconds apart. For a detailed introduction to the SEIM, please refer to our previous articles: https://www.nature.com/articles/nclimate3091, https://acp.copernicus.org/articles/21/13835/2021/
description: Dataset information



L01dA_2013_global.csv: Spatial distribution of 2013 global shipping emissions with a 0.1°×0.1° resolution 



lon: longitude, ranging from -180 to 180

lat: latitude, ranging from -90 to 90

name of air pollutants and GHGs: shipping emissions, in the unit of ton





L01dA_2021_global.csv: Spatial distribution of 2021 global shipping emissions with a 0.1°×0.1° resolution



lon: longitude, ranging from -180 to 180

lat: latitude, ranging from -90 to 90

name of air pollutants and GHGs: shipping emissions, in the unit of ton





L01dA_2021_vesseltype_global.csv 



lon: longitude, ranging from -180 to 180

lat: latitude, ranging from -90 to 90

typeMerge: category of vessels

name of air pollutants and GHGs: shipping emissions, in the unit of ton








timeSeries_16_21_global.csv



date: yyyy-mm-dd

typeMerge: category of vessels

buildPeriod 



0: ships built before 2000

1: ships built after 2000 (incl. 2000), before 2010

2: ships built after 2010 (incl. 2010), before 2016

3: ships built after 2016 (incl. 2016)



name of air pollutants and GHGs: shipping emissions, in the unit of ton
DOI: 10.5281/zenodo.11069531
title: Global shipping emissions for the years 2013 and 2016-2021

description: The shipping emission datasets of the globe with 9 species (NOx, CO, HC, SO2, PM2.5, CO2,   N2O, CH4, and BC) with a spatial resolution of 0.1o × 0.1o, the temporal resolution of days for the years 2013 and 2016-2021 were established based on SEIM (Sipping Emission Inventory Model). Based on well-cleaned AIS (Automatic Identification System) data and  STSD (Ship Technical Specifications Database), SEIM model can simulate ship emissions for every ship by every two subsequent AIS signals, which are typically only a few seconds or tens of seconds apart. For a detailed introduction to the SEIM, please refer to our previous articles: https://www.nature.com/articles/nclimate3091, https://acp.copernicus.org/articles/21/13835/2021/
description: Dataset information



L01dA_2013_global.csv: Spatial distribution of 2013 global shipping emissions with a 0.1°×0.1° resolution 



lon: longitude, ranging from -180 to 180

lat: latitude, ranging from -90 to 90

name of air pollutants and GHGs: shipping emissions, in the unit of ton





L01dA_2021_global.csv: Spatial distribution of 2021 global shipping emissions with a 0.1°×0.1° resolution



lon: longitude, ranging from -180 to 180

lat: latitude, ranging from -90 to 90

name of air pollutants and GHGs: shipping emissions, in the unit of ton





L01dA_2021_vesseltype_global.csv 



lon: longitude, ranging from -180 to 180

lat: latitude, ranging from -90 to 90

typeMerge: category of vessels

name of air pollutants and GHGs: shipping emissions, in the unit of ton








timeSeries_16_21_global.csv



date: yyyy-mm-dd

typeMerge: category of vessels

buildPeriod 



0: ships built before 2000

1: ships built after 2000 (incl. 2000), before 2010

2: ships built after 2010 (incl. 2010), before 2016

3: ships built after 2016 (incl. 2016)



name of air pollutants and GHGs: shipping emissions, in the unit of ton
DOI: 10.60600/yu/clawet/77nwoi
title: 0840.TextGrid

description: :unav
DOI: 10.15456/jbnst.2016119.085022r
title: StataAnalysis_Petrunyk_Pfeifer.txt
title: StataAnalysis_Petrunyk_Pfeifer.txt

description: Data: We use the German Socio-Economic Panel (SOEP) for the post-reunification period 1992 to 2013, which is distributed by the German Institute for Economic Research, DIW Berlin. The SOEP is a representative longitudinal survey of private households and comprises household as well as individual information such as household composition, labor market participation, income, education, health, and satisfaction levels. More information can be found at http://www.diw.de/en/soep Socio-Economic Panel (SOEP), data for years 1984-2013, version 30, SOEP, 2014, doi:10.5684/soep.v30. Do-file: All statistical analyses have been performed using Stata 13.1. The corresponding do-file can be found in the data archive.
DOI: 10.12757/bbk.phf.02.01.01
title: Panel on Household Finances 2nd Wave
title: Panel on Household Finances 2. Welle
title: PHF
title: PHF

description: CATI option for personal interviews
description: CATI für Personeninterviews möglich
description: CATI option for personal interviews
description: CATI für Personeninterviews möglich
description: Face-to-face interview: CAPI/CAMI
description: All private households located in Germany except institutional households (in old-age homes, prisons, barracks etc.)
description: Stratified random sample based on population registers; oversampling of wealthy households
DOI: 10.60600/yu/clawet/sfgvim
title: 0764.wav

description: :unav
DOI: 10.15468/dl.4vxnr3
title: Occurrence Download

description: A dataset containing 1294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-80.88204 25.11285,-79.9805 25.11285,-79.9805 27.25657,-80.88204 27.25657,-80.88204 25.11285))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cichlidae"
 ]
}

 The dataset includes 1294 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091548-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/vqz2t9
title: 1009.wav

description: :unav
DOI: 10.57745/nttojm
title: Calibration.m

description: :unav
DOI: 10.7805/ebdc-iidb-2015
title: Ifo Investment Database (2015)

description: Die ifo Investorenrechnung liefert verdichtete Investitionsmatrizen nach Wirtschaftszweigen und Gütergruppen für Gesamtdeutschland seit 1991, die Aufschluss über den Anteil einzelner Gütergruppen an den Investitionen eines Wirtschaftszweigs geben. Dabei ist das Rechenwerk in seinen Aggregaten konsistent mit den amtlichen Statistiken des Statistischen Bundesamtes abgestimmt. Als einzigartige Eigenschaft bietet die ifo Investorenrechnung zudem eine Darstellung der Investitionen nach dem Eigentümer- und dem Nutzerkonzept. Letzteres bietet insbesondere im Hinblick auf Veränderungen in der Finanzierungsform, wie einer vermehrten Nutzung von geleasten Investitionsgütern im Produktionsprozess, eine nützliche Ergänzung zur gängigen Methoden des Eigentümerkonzepts. Das Rechenwerk der ifo Investorenrechnung wird jährlich aktualisiert und liegt in Jahreswerten vor.
description: The ifo Investment Database compiles investment matrices by industry and asset groups for unified Germany starting back in 1991. Those matrices allow for descriptive analysis of the proportion of individual product groups in the investments of an industry. Thereby, the statistical framework is in its aggregates adjusted consistently with the official statistics of the German Federal Statistical Office. As a unique feature, the ifo Investment Database additionally provides a representation of investment time series for the owner and the user concept. Especially the latter is a useful extension to the common method of the ownership concept as it allows for changes in the financial aspects of businesses, such as increased use of leased capital goods in the production process. The statistical framework of the ifo Investment Database is updated annually and is available on an annual basis.
DOI: 10.25345/c5wh2ds0s
title: MassIVE MSV000095134 - Histone H3.3 lysine 9 and 27 control repressive chromatin states at cryptic cis-regulatory elements and bivalent promoters in mouse embryonic stem cells
title: Histone modifications are associated with distinct transcriptional states, but it is unclear whether they instruct gene expression. To investigate this, we mutated histone H3.3 K9 and K27 residues in mouse embryonic stem cells (mESCs). Here, we find that H3.3K9 is essential for controlling specific distal intergenic regions and for proper H3K27me3 deposition at promoters. The H3.3K9A mutation resulted in decreased H3K9me3 at regions encompassing endogenous retroviruses and induced a gain of H3K27ac and nascent transcription. These changes in the chromatin environment unleashed cryptic enhancers, resulting in the activation of distinctive transcriptional programs and culminating in protein expression normally restricted to specialized immune cell types. The H3.3K27A mutant disrupted deposition and spreading of the repressive H3K27me3 mark, particularly impacting bivalent genes with higher basal level of H3.3 at promoters. Therefore, H3.3K9 and K27 crucially orchestrate repressive chromatin states at cis-regulatory elements and bivalent promoters, respectively, and instruct proper transcription in mESCs.
DOI: 10.60600/yu/clawet/q15egu
title: 0777.TextGrid

description: :unav
DOI: 10.7805/ebdc-bep-2014-15
title: EBDC Business Expectations Panel (2014-15)

description: Das EBDC Business Expectations Panel, BEP, besteht aus den wichtigsten Variablen des ifo Konjunkturtests und den entsprechenden Bilanzdaten aus den Unternehmensdatenbanken Amadeus (Bureau van Dijk) und Hoppenstedt (Hoppenstedt Firmeninformationen GmbH). Der ifo Konjunkturtest wird monatlich vom ifo Institut erhoben. Er setzt sich aus den EInzelerhebungen für die Sektoren Bau, Dienstleister, Handel und Verarbeitendes Gewerbe zusammen. Kern des Fragenprogramms sind qualitative Urteile zu aktuellen ökonomischen Parametern der Unternehmen wie z.B. der allgemeinen Situation, dem Umsatz, der Nachfrage, Kreditrestriktionen oder den Beschäftigten sowie Fragen zu den Entwicklungen in den kommenden Monaten, u.a. den Geschäfts-, Beschäftigten- oder Preiserwartungen. Die Bilanzdaten der Unternehmensdatenbanken wurden mit Hilfe der Programms Matching-Software MTB (Merge Toolbox), welche am „Center for quantitative Methods and Survey Research“ der Universität Konstanz entwickelt wurde dazu gespielt.
description: The EBDC Business Expectations Panel, BEP, consists of the main variables of the Ifo Business Survey and the corresponding balance sheet data from firm databases Amadeus (Bureau vanDijk) and Hoppenstedt(Hoppenstedt Information GmbH).The Ifo Business Survey has been conducted by the Ifo Institute on a monthly basis. The core of the questionnaire consists of qualitative assessments on the current economic parameters of companies such as, for example, the general situation, turnover, demand, credit constraints  and staff numbers, as well as questions on trends in the forthcoming months in areas like business, employment and price expectations. The financial variables were merged by using the matching software MTB (Merge Toolbox) developed at the Center for Quantitative Methods and Survey Research of the University of Konstanz.
description: Self-administered questionnaire
DOI: 10.7805/ebdc-binp-2014-15
title: EBDC Business Innovation Panel (2014-15)

description: Das EBDC Business Innovation Panel, BIP, besteht aus den wichtigsten Variablen des ifo Innovationstests und den entsprechenden Bilanzdaten aus den Unternehmensdatenbanken Amadeus (Bureau van Dijk) und Hoppenstedt (Hoppenstedt Firmeninformationen GmbH). Der ifo Innovationstest für das Verarbeitende Gewerbe wird seit 1982 jährlich im Verarbeitenden Gewerbe vom ifo Institut erhoben. Kern des Fragenprogramms sind qualitative und quantifizierte Angaben zur Innovationstätigkeit der Unternehmen, insbesondere zu den Innovationszielen und –aufwendungen. Des Weiteren geben die Firmen Informationen zu Innovationshemmnissen sowie –impulsen (intern/extern). Die Bilanzdaten der Unternehmensdatenbanken wurden mit Hilfe der Programms Matching-Software MTB (Merge Toolbox), welche am „Center for quantitative Methods and Survey Research“ der Universität Konstanz entwickelt wurde dazu gespielt.
description: The EBDC Business Innovation Panel, BIP, consists of the main variables of the Ifo Innovation Survey and the corresponding balance sheet data from firm databases Amadeus (Bureau vanDijk) and Hoppenstedt(Hoppenstedt Information GmbH). The Ifo Innovation Survey for Industry has been conducted by the Ifo Institute on an annual basis since 1982. Qualitative and quantitative responses on the innovativeness of companies, particularly their innovation goals and expenditure, constitute the main focus of the survey. Companies are also asked to provide information on innovation constraints and (internal/external) impulses. The financial variables were merged by using the matching software MTB (Merge Toolbox) developed at the Center for Quantitative Methods and Survey Research of the University of Konstanz.
description: Self-administered questionnaire
DOI: 10.57745/cchkmr
title: Import.m

description: :unav
DOI: 10.7805/ebdc-ms-wes-2014
title: Meta Survey of the World Economic Survey (2014)

description: Diese Sonderbefragung wurde durchgeführt, um die Qualität der Umfrageinstrumente und der Analyse zu verbessern. Ziel war es, sich auf die im Laufe der 30 Jahre angesammelten Forschungsfragen in Bezug auf den ifo World Economic Survey (WES) zu fokussieren. Zusätzlich zu den Informationsquellen, die die Experten für ihre Beurteilungen nutzen, wollte das ifo Institut Erkenntnisse zum Entscheidungs-prozess der Experten gewinnen, wie diese ihre Antworten in die jeweiligen qualitativen Kategorien einordnen. Schließlich, um ein klareres Bild von den WES-Teilnehmern zu bekommen, wurden Fragen zu deren beruflichen und akademischen Hintergrund, sowie zum Geschlecht und Alter gestellt.
description: This survey was conducted to improve the quality of survey instruments and analysis. The aim was to focus on the growing number of research questions related to the ifo World Economic Survey (WES) that have arisen over the last 30 years. In addition to the sources of information that experts use to form their assessments, ifo wanted to gain insights into the decision-making process that experts adopt to classify their responses in the respective qualitative categories. Also, to form a clearer picture of the WES participants, question on their professional and academic background, as well as their gender and age were asked.
description: Self-administered questionnaire
DOI: 10.60600/yu/clawet/wm6equ
title: 0637.TextGrid

description: :unav
DOI: 10.57745/pufwsp
title: Function_Frequency.m

description: :unav
DOI: 10.60600/yu/clawet/e5tvng
title: 0609.wav

description: :unav
DOI: 10.57745/ycahjt
title: README.md

description: :unav
DOI: 10.15468/dl.uqcydz
title: Occurrence Download

description: A dataset containing 422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Eretmochelys imbricata (Linnaeus, 1766)"
 ]
}

 The dataset includes 422 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091549-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/ro036a
title: 0730.TextGrid

description: :unav
DOI: 10.15468/dl.uydsce
title: Occurrence Download

description: A dataset containing 422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Eretmochelys imbricata (Linnaeus, 1766)"
 ]
}

 The dataset includes 422 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091550-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/85pbse
title: R_RLM_model.R

description: :unav
DOI: 10.60600/yu/clawet/wbwxit
title: 0880.TextGrid

description: :unav
DOI: 10.57745/z26ji0
title: Identification.m

description: :unav
DOI: 10.15468/dl.hfpesy
title: Occurrence Download

description: A dataset containing 5407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Caretta caretta (Linnaeus, 1758)"
 ]
}

 The dataset includes 5407 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091552-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tdjnuz
title: Occurrence Download

description: A dataset containing 338726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-05-30",
 "EventDate is less than or equal to 2024-06-29",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 338726 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0091524-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/hah1sl
title: 0710.wav

description: :unav
DOI: 10.57745/bqx7dv
title: Function_Import.m

description: :unav