cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/dans-2ad-5fw9
title: Westergeest, Weardebuorsterwei, Gem. Kollumerland (Fr.). Een Inventariserend Archeologisch Veldonderzoek
title: 2017-01/08

description: &lt;p&gt;Door De Steekproef bv is een plangebied onderzocht aan de Wearderbuorsterwei te Westergeest in de gemeente Kollumerland c.a., provincie Fryslân. De aanleiding voor het onderzoek is de voorgenomen herinrichting van het terrein. Hiertoe benodigde graafwerkzaamheden zouden tot aantasting van archeologische waarden kunnen leiden. Het onderzoek had tot doel om vast te stellen of dergelijke waarden aanwezig kunnen zijn. Het onderzoek bestaat uit een bureauonderzoek en een veldonderzoek door middel van boringen. In het gespecificeerd archeologisch verwachtingsmodel is uitgegaan van een middelhoge kans op resten uit de steentijd en resten uit de middeleeuwen en de nieuwe tijd. Om de archeologische verwachting te toetsen zijn in het plangebied zeventien gutsboringen geplaatst. Uit de resultaten van het booronderzoek blijkt dat het dekzandlandschap in het plangebied oploopt in zuidoostelijke richting. Op dit zuidoostelijke deel hebben oorspronkelijk goede ontwateringsomstandigheden geheerst waardoor hier podzolbodems konden ontstaan. Door graafactiviteiten zijn deze echter verloren gegaan. Naar het noorden en het westen toe neemt de diepteligging van het dekzand toe. Hier bestaat de top van het dekzand uit een vernatte en doorwortelde laag die is ontstaan in de beginperiode van de veenvorming in het gebied. Deze veenvorming heeft geleid tot het ontstaan van een (nu nog) tien tot tachtig centimeter dik pakket veen in het plangebied. Met name langs de westrand is het plangebied aanzienlijk opgehoogd met zand en klei. Hierdoor ligt het terrein plaatselijk anderhalve meter hoger dan het omliggende maaiveld. Mogelijk is hier materiaal gestort dat afkomstig is uit de pal ten zuiden van het plangebied gelegen Nije Swemmer. Alleen het zuidoostelijke deel van het plangebied lijkt in het (verre) verleden geschikt te zijn geweest voor bewoning. In geen van de boringen zijn archeologische indicatoren gevonden. In verband hiermee, alsmede in verband met het grotendeels verloren gaan van de top van het dekzandlandschap in het plangebied, geven de resultaten van het onderzoek geen aanleiding om archeologisch vervolgonderzoek te adviseren. Evenmin zijn archeologische resten aangetroffen waarmee tijdens de verdere planvorming rekening zou moeten worden gehouden.&lt;/p&gt;
description: &lt;p&gt;2017-01/08&lt;/p&gt;
DOI: 10.3535/1hb-vks-sfp
title: Torrenticola Piersig, 1896

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z0n-tfx-qs7
title: Piona C. L. Koch, 1842

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-xsw-kkeq
title: Data Discovery and Reuse Practices in Research

description: &lt;p&gt;This dataset presents the results from a global survey designed to investigate how individuals involved in research discover and reuse secondary data. The data consist of 1677 complete responses received from individuals in 105 countries. The data are provided in two files: one for researchers and one for those working in research support. The README file provides extensive guidance on using the data files and the associated descriptions of the variables.&lt;/p&gt;
DOI: 10.3535/ymp-z29-djm
title: Arrenurus Dugès, 1834

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j18-xj7-4hn
title: Piona C. L. Koch, 1842

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nb1-jln-8rx
title: Arrenuridae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-2ad-6s3a
title: PAN-00009116 - coin/coin-related, , dupondius/as

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00009116&lt;/p&gt;
description: Modified: 2020-06-09T08:39:48+02:00
DOI: 10.3535/763-wkf-m62
title: Piona C. L. Koch, 1842

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jgs-z71-dww
title: Aturidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l38-sl5-8lh
title: Hygrobates C. L. Koch, 1837

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m06-dan-w9c
title: Piona C. L. Koch, 1842

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-2ad-7cts
title: PAN-00025623 - military button, Napoleonic: number and République Française

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00025623&lt;/p&gt;
description: Modified: 2019-10-04T09:49:00+02:00
DOI: 10.3535/q5n-1va-r02
title: Hygrobates C. L. Koch, 1837

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vmq-pdp-5bm
title: Limnochares Latreille, 1796

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-zs3-9hjd
title: Ontologie van openbare vermakelijkheden
title: Ontology for public entertainment (in Dutch)

description: &lt;p&gt;Deze ontologie is in 2008-2009 ontwikkeld als referentiekader voor het koppelen van collecties over publieke vermakelijkheden. Zie voor meer informatie de publicaties: Cultuur in context: erfgoeddata in nieuwe samenhang (2009) en Een ontologie van openbare vermakelijkheden (2008).&lt;/p&gt;
DOI: 10.3535/l58-2b1-77t
title: Aturidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-2ad-7ezt
title: PAN-00034453 - button with solid convex head and flat base, loop-shaped shank, decorated

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00034453&lt;/p&gt;
description: Modified: 2019-10-11T15:37:41+02:00
DOI: 10.3535/dvh-bk2-8eg
title: Arrenurus Dugès, 1834

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yaz-q0n-103
title: Arrenurus Dugès, 1834

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b3w-f0l-r24
title: Arrenurus Dugès, 1834

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xqz-wx7-a6l
title: Hygrobates C. L. Koch, 1837

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.6084/m9.figshare.29117321.v5
title: Improving the calibration of an integrated CA-What If? digital planning framework

description: Cities continue to grow under the global urbanisation trend, and planners require enhanced evidence to understand the spatiotemporal evolutionary patterns of urban built-up land, as well as their uncertain future growth scenarios. Given these issues, a digital planning framework is here proposed that integrates Cellular Automata (CA) with What If? sub-models for simulating future urban growth scenarios. The XGBoost algorithm is used to calibrate the CA transition rules, while spatial partitioning mechanisms are used to mitigate the impacts of heterogeneity on modelling accuracy. The verified and optimised CA sub-model is then integrated with the What If? planning support system (PSS) sub-model to generate and analyse three representative built-up development scenarios. The modelling results demonstrate that the hybrid partitioning method, combining administrative regions using K-means clustering, can improve the simulation performance of this integrated digital planning framework.This dataset includes (1) all required data for reproducing the materials within the manuscript, (2) detailed Python codes of the proposed CA-What If? model, and (3) a step-by-step instruction document.
DOI: 10.17026/dans-2ad-7f3k
title: PAN-00103772 - button with mounting holes

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00103772&lt;/p&gt;
description: Modified: 2022-09-16T11:44:52+02:00
DOI: 10.17026/dans-zfg-zput
title: State without Religion?
title: Perceptions of young Christians, Muslims, and Humanists on religion-state relationships.

description: &lt;p&gt;This research explores the different ways in which Dutch and Flemish youth perceive the ideal relationship between religion and state governance. More specifically, it explains the level of agreement by committed Christian, Muslim, and humanist youth in the Netherlands and Flanders with different models of relationships between religion (and worldview in general) and state, against the backdrop of their religious and humanist beliefs, as well as individual and contextual level determinants.&lt;/p&gt;&lt;p&gt;The research is conducted by way of a questionnaire among committed Catholics, Protestants, Muslims, and humanists, who are 15 to 25 years old and live in either the Netherlands or Flanders. To collect the data, cooperation is sought with organizations, individuals with a broad network in the field, churches and mosques that attract a substantial number of young people, and lecturers of higher education who prepare young people to become paid professionals of religious or humanist organizations. The data collection resulted in 643 usable questionnaires. The results are analysed in SPSS Statistics.&lt;/p&gt;
DOI: 10.3535/5d1-2wq-k6e
title: Hydryphantes C. L. Koch, 1841

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gh8-m8v-4vs
title: Arrenurus Dugès, 1834

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/98t-5lz-may
title: Arrenurus Dugès, 1834

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.14133346
title: Tree species and soil depth affect microbial necromass formation in temperate forest soils, surpassing the impact of microbial and faunal community composition

description: Dataset (MS Excel file) provides information on soil biological activity, microbial community composition, and soil organic matter fractions collected from temperate forest soils. It includes measurements (means+SD) of soil respiration, microbial biomass carbon (Cmic), relative abundance of microbial groups, and absolute abundance of soil microfauna. The dataset also features detailed soil fraction analyses, including particulate organic matter (POM) and mineral-associated organic matter (MAOM).
DOI: 10.5281/zenodo.14133347
title: Tree species and soil depth affect microbial necromass formation in temperate forest soils, surpassing the impact of microbial and faunal community composition

description: Dataset (MS Excel file) provides information on soil biological activity, microbial community composition, and soil organic matter fractions collected from temperate forest soils. It includes measurements (means+SD) of soil respiration, microbial biomass carbon (Cmic), relative abundance of microbial groups, and absolute abundance of soil microfauna. The dataset also features detailed soil fraction analyses, including particulate organic matter (POM) and mineral-associated organic matter (MAOM).
DOI: 10.17026/dans-xyq-27cd
title: Median Pitch Data for Native and Non-Native Plain and Lombard Speech

description: &lt;p&gt;"Lombard speech, speech produced in noise, is typically produced with a higher fundamental frequency (F0, pitch) compared to speech in quiet. This paper examined the potential differences in native and non-native Lombard speech by analyzing median pitch in sentences with early- or late-focus produced in quiet and noise. We found an increase in pitch in late-focus sentences in noise for Dutch speakers in both English and Dutch, and for American-English speakers in English. These results show that non-native speakers produce Lombard speech, despite their higher cognitive load. For the early-focus sentences, we found a difference between the Dutch and the American-English speakers. Whereas the Dutch showed an increased F0 in noise in English and Dutch, the American-English speakers did not in English. Together, these results suggest that some acoustic characteristics of Lombard speech, such as pitch, may be language-specific, potentially resulting in the native language influencing the nonnative Lombard speech." - Taken from the abstract of "Pitch in Native and Non-Native Lombard Speech"&lt;/p&gt;
DOI: 10.3535/75m-ypv-6cs
title: Limnochares Latreille, 1796

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/awy-qbr-1n6
title: Hygrobatidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-zzn-5tu9
title: Pitch Range Data for Native and Non-Native Plain and Lombard Speech

description: &lt;p&gt;"Lombard speech, speech produced in noise, is acoustically different from speech produced in quiet (plain speech) in several ways, including having a higher and wider F0 range (pitch). Extensive research on native Lombard speech does not consider that non-natives experience a higher cognitive load while producing speech and that the native language may influence the non-native speech. We investigated pitch range in plain and Lombard speech in native and non-natives.&lt;/p&gt;&lt;p&gt;Dutch and American-English speakers read contrastive question-answer pairs in quiet and in noise in English, while the Dutch also read Dutch sentence pairs. We found that Lombard speech is characterized by a wider pitch range than plain speech, for all speakers (native English, non-native English, and native Dutch). This shows that non-natives also widen their pitch range in Lombard speech. In sentences with early-focus, we see the same increase in pitch range when going from plain to Lombard speech in native and non-native English, but a smaller increase in native Dutch. In sentences with late-focus, we see the biggest increase for the native English, followed by non-native English and then native Dutch. Together these results indicate an effect of the native language on non-native Lombard speech." - Taken from the abstract of "Differences between Native and Non-Native Lombard Speech in Terms of Pitch Range" for details on how the data was collected.&lt;/p&gt;
DOI: 10.3535/8cl-08m-gcf
title: Limnesia C. L. Koch, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ppz-xmf-5t7
title: Arrenurus Dugès, 1834

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.57761/9j1t-sj06
title: L2 Voter and Demographic Dataset

description: The data found within this L2 Voter Dataset is current as of May 2021 and contains 55 files; 51 for "voter" data and 4 for "demographic". This data includes all 50 states and DC.
description: #Documentation  
<u><em><strong>Demographic Data</strong></em></u>

The demographic data is found in four tables (2018-Demographic, 2019-Demographic, 2020-Demographic, 2021-Demographic). The schema for these four files differs year over year. There are two ways to tell which state a voter is in for that year. The first way is using the \`LALVOTERID\`, which is a unique identifier. For example, let's look at the \`LALVOTERID\` for row in California. The characters in the fourth and fifth positions of this UID, LALCA123456789, identifies "**CA**" for California. The Second way to identify is using the RESIDENCE\_ADDRESS\_STATE, which would have a CA for California.



<u><em><strong>Voter Data</strong></em></u>

There are 51 voter files (50 states and DC) containing appended election data (columns) going back decades (in some cases back to 1992). Each table is named with the recent date, state abbreviation, and data type. So for California, you will use \`2021-CA-Voter\`, which is the California Voter data for 2021 and back.
DOI: 10.57761/cwb2-qt75
title: L2 Voter and Demographic Dataset

description: The data found within this L2 Voter Dataset is current as of May 2021 and contains 102 files; 51 for "voter" and 51 for "demographic". This data includes all 50 states and DC.
description: #Documentation  
The data found within this L2 Voter Dataset is current as of May 2021 and contains 102 files; 51 for "voter" and 51 for "demographic". This data includes all 50 states and DC. It is important to note that due to differing elections by different states, there will be differently named columns for the data found in these tables.
DOI: 10.57761/deyk-2r45
title: L2 Voter and Demographic Dataset

description: If you have questions or concerns, please contact Ron Nakao at ronbo@stanford.edu.


description: The L2 Voter and Demographic data includes demographic and voter history tables for all 50 states and the District of Columbia. The dataset is built from publicly available government records about voter registration and election participation. These records indicate whether a person voted in an election or not, but they do not record whom that person voted for. Voter registration and election participation data are augmented by demographic information from outside data sources.

The L2 Voter and Demographic data is current as of March 13 2024.
description: To create this file, L2 processes registered voter data on an ongoing basis for all 50 states and the District of Columbia, with refreshes of the underlying state voter data typically at least every six months and refreshes of telephone numbers and National Change of Address processing approximately every 30 to 60 days. These data are standardized and enhanced with propriety commercial data and modeling codes and consist of approximately 185,000,000 records nationwide.


description: For each state, there are two available tables: demographic and voter history. The demographic and voter tables can be joined on the `LALVOTERID `variable. One can also use the `LALVOTERID `variable to link the L2 Voter and Demographic data with the L2 Consumer Dataset.



In addition, the `LALVOTERID `variable can be used to validate the state. For example, let's look at the `LALVOTERID = LALCA123456789`. The characters in the fourth and fifth positions of this identifier are 'CA' (California). The second way to validate the state is by using the `RESIDENCE_ADDRESSES_STATE `variable, which should have a value of 'CA' (California).



The date appended to each table name represents when the data was last updated. These dates will differ state by state because states update their voter files at different cadences.



The demographic files use 699 consistent variables. For more information about these variables, see ***2023-10-26-L2-Voter-Demographic-File-Layout.xlsx***.



The voter history files have different variables depending on the state. The ***2024-03-13-L2-Voter-Dictionaries.tar.gz ***file contains .csv data dictionaries for each state's demographic and voter files. While the demographic file data dictionaries should complement the ***2023-10-26-L2-Voter-Demographic-File-Layout.xlsx*** file, the voter file data dictionaries will be unique to each state.



***Experian\_Mosaic\_Guide.pdf *** is a codebook for two variables which appear in the demographic tables: 'CommercialData\_MosaicZ4' and 'CommercialData\_MosaicZ4Global.'



***L2\_Data\_Dictionary.pdf ***has information about where variables were sourced from.



***2023-10-26-National-File-Notes.pdf ***contains L2 Voter and Demographic Dataset ("National File") release notes from between 2018 and 2023.



***2022-06-03\_Nationwide\_Congressional\_District\_Redistricting\_Analysis.xlsx ***summarizes the redistricting that has occurred following the 2020 census.
DOI: 10.57761/fwpr-xc81
title: L2 Voter and Demographic Dataset

description: If you have questions or concerns, please contact Vijoy Abraham at vijoy@stanford.edu.


description: The L2 Voter and Demographic data is current as of April 29 2022. The data includes demographic and voter history tables for all 50 states and the District of Columbia. The dataset is built from publicly available government records about voter registration and election participation. These records indicate whether a person voted in an election or not, but they do not record whom that person voted for. Voter registration and election participation data are augmented by demographic information from outside data sources.
description: To create this file, L2 processes registered voter data on an ongoing basis for all 50 states and the District of Columbia, with refreshes of the underlying state voter data typically at least every six months and refreshes of telephone numbers and National Change of Address processing approximately every 30 to 60 days. These data are standardized and enhanced with propriety commercial data and modeling codes and consist of approximately 185,000,000 records nationwide.


description: For each state, there are two available tables: demographic and voter history. The demographic and voter tables can be joined on the 'LALVOTERID' variable. One can also use the 'LALVOTERID' variable to link the L2 Voter and Demographic data with the L2 Commercial data.



The 'LALVOTERID' variable can also be used to validate the state. For example, let's look at the 'LALVOTERID' *LALCA123456789*. The characters in the fourth and fifth positions of this identifier are 'CA' (California). The second way to validate the state is by using the RESIDENCE\_ADDRESSES\_STATE, which should have a value of 'CA' (California).



The date appended to each table name represents when the data was last updated.



The demographic files use 691 consistent variables. For more information about these variables, see ***2021-11-03-L2-Voter-Demographic-File-Layout.xlsx***.



The voter history files have different variables depending on the state. The ***2022-04-29-L2-Voter-Data-Dictionaries.tar.gz ***file expands into a folder with .csv data dictionaries for each state's demographic and voter files. While the demographic file data dictionaries should complement the 2021-11-03-L2-Voter-Demographic-File-Layout.xlsx file, the voter file data dictionaries will be unique to each state.



***Experian\_Mosaic\_Guide.pdf *** is a codebook for two variables which appear in the demographic tables: 'CommercialData\_MosaicZ4' and 'CommercialData\_MosaicZ4Global.'



***L2\_Data\_Dictionary.pdf ***has information about where variables were sourced from.