cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/ymqoex
title: Q012005001_incertitude_datasheet.pdf
DOI: 10.15468/dl.gp3489
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Engraulis encrasicolus (Linnaeus, 1758)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025886-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/j2rip4
title: U121503001_incertitude_datasheet.pdf
DOI: 10.57745/pzfg7a
title: Y345401001_incertitude_datasheet.pdf
DOI: 10.57745/sb8c8b
title: P088501001_incertitude_datasheet.pdf
DOI: 10.57745/uatiwp
title: O108431001_incertitude_datasheet.pdf
DOI: 10.57745/vlxtpo
title: L567000100_incertitude_datasheet.pdf
DOI: 10.57745/xevxyt
title: Q012006002_incertitude_datasheet.pdf
DOI: 10.57745/maojly
title: L567000301_incertitude_datasheet.pdf
DOI: 10.57745/ncil7o
title: O114462001_incertitude_datasheet.pdf
DOI: 10.57745/rkcyfr
title: U122040000_incertitude_datasheet.pdf
DOI: 10.57745/t06m6e
title: Q021401001_incertitude_datasheet.pdf
DOI: 10.57745/uxiuvl
title: Y345402001_incertitude_datasheet.pdf
DOI: 10.57745/1dbqox
title: P092401001_incertitude_datasheet.pdf
DOI: 10.57745/6dq2zd
title: Y346000000_incertitude_datasheet.pdf
DOI: 10.57745/hgiw9e
title: Q022402001_incertitude_datasheet.pdf
DOI: 10.57745/kxmghu
title: P089000101_incertitude_datasheet.pdf
DOI: 10.57745/mwun57
title: Y345402300_incertitude_datasheet.pdf
DOI: 10.57745/panl5m
title: U122401001_incertitude_datasheet.pdf
DOI: 10.57745/i8g1ja
title: O120251001_incertitude_datasheet.pdf
DOI: 10.57745/p7wf7h
title: P103401001_incertitude_datasheet.pdf
DOI: 10.57745/punmqb
title: U122402100_incertitude_datasheet.pdf
DOI: 10.57745/s7ogav
title: Q022403001_incertitude_datasheet.pdf
DOI: 10.57745/ulue2s
title: Y346400501_incertitude_datasheet.pdf
DOI: 10.57745/yyhrs9
title: L571000100_incertitude_datasheet.pdf
DOI: 10.57745/3iobsk
title: O125251001_incertitude_datasheet.pdf
DOI: 10.57745/da5lif
title: P114052000_incertitude_datasheet.pdf
DOI: 10.57745/iywxa4
title: U122402201_incertitude_datasheet.pdf
DOI: 10.57745/j6zhpe
title: L571000200_incertitude_datasheet.pdf
DOI: 10.57745/ptobfv
title: O127401001_incertitude_datasheet.pdf
DOI: 10.57745/upujjl
title: Y346401001_incertitude_datasheet.pdf
DOI: 10.57745/agntzp
title: Q024000100_incertitude_datasheet.pdf
DOI: 10.57745/e98vac
title: P115000100_incertitude_datasheet.pdf
DOI: 10.57745/odhsrn
title: U123502001_incertitude_datasheet.pdf
DOI: 10.57745/uaxb8t
title: O133000100_incertitude_datasheet.pdf
DOI: 10.57745/vylqgv
title: L573301001_incertitude_datasheet.pdf
DOI: 10.57745/1ty6ds
title: Q022501101_incertitude_datasheet.pdf
DOI: 10.57745/h5zzyk
title: L574191001_incertitude_datasheet.pdf
DOI: 10.57745/pjzvtc
title: Q026000100_incertitude_datasheet.pdf
DOI: 10.57745/qf0kno
title: Y351400501_incertitude_datasheet.pdf
DOI: 10.57745/sy4ruq
title: P115000101_incertitude_datasheet.pdf
DOI: 10.57745/wasrmk
title: U122402001_incertitude_datasheet.pdf
DOI: 10.57745/yhrr2j
title: Y351402001_incertitude_datasheet.pdf
DOI: 10.57745/zuroxf
title: U123502100_incertitude_datasheet.pdf
DOI: 10.57745/39bd10
title: Y352401501_incertitude_datasheet.pdf
DOI: 10.57745/elateu
title: P118040000_incertitude_datasheet.pdf
DOI: 10.57745/labrx2
title: O137251002_incertitude_datasheet.pdf
DOI: 10.57745/ssqvxg
title: L574192002_incertitude_datasheet.pdf
DOI: 10.57745/zsz0x2
title: Q028003001_incertitude_datasheet.pdf
DOI: 10.57745/34p9pa
title: P118104000_incertitude_datasheet.pdf
DOI: 10.57745/4x46of
title: L580181001_incertitude_datasheet.pdf
DOI: 10.57745/dhdxmh
title: U124404001_incertitude_datasheet.pdf
DOI: 10.57745/jafoyn
title: O143291001_incertitude_datasheet.pdf
DOI: 10.57745/jx2vqq
title: O141000100_incertitude_datasheet.pdf
DOI: 10.57745/msrqzw
title: Q036001001_incertitude_datasheet.pdf
DOI: 10.57745/utjbfw
title: Y352501001_incertitude_datasheet.pdf
DOI: 10.57745/424qvu
title: Y352501101_incertitude_datasheet.pdf
DOI: 10.57745/76y3jl
title: P134040000_incertitude_datasheet.pdf
DOI: 10.57745/crdhfi
title: Q041401001_incertitude_datasheet.pdf
DOI: 10.57745/iw8391
title: U130561001_incertitude_datasheet.pdf
DOI: 10.57745/ktocim
title: O143292001_incertitude_datasheet.pdf
DOI: 10.57745/oiivdc
title: U123502201_incertitude_datasheet.pdf
DOI: 10.57745/l7hjsy
title: U131401001_incertitude_datasheet.pdf
DOI: 10.57745/ljpmgv
title: L602071001_incertitude_datasheet.pdf
DOI: 10.57745/pfuap6
title: Y352501301_incertitude_datasheet.pdf
DOI: 10.57745/s4g4ux
title: O143293001_incertitude_datasheet.pdf
DOI: 10.57745/xugfng
title: P135001002_incertitude_datasheet.pdf
DOI: 10.57745/zwibx0
title: Q045001001_incertitude_datasheet.pdf
DOI: 10.57745/46ldkx
title: L601000300_incertitude_datasheet.pdf
DOI: 10.57745/ibf7wh
title: Q052025000_incertitude_datasheet.pdf
DOI: 10.57745/iqqds4
title: P137043000_incertitude_datasheet.pdf
DOI: 10.57745/jqbdsl
title: L610000100_incertitude_datasheet.pdf
DOI: 10.57745/nqccml
title: P135001003_incertitude_datasheet.pdf
DOI: 10.57745/tmlpae
title: O144291002_incertitude_datasheet.pdf
DOI: 10.57745/btxzlg
title: Q052252001_incertitude_datasheet.pdf
DOI: 10.57745/eadccp
title: O146401001_incertitude_datasheet.pdf
DOI: 10.57745/rjq239
title: Y353000000_incertitude_datasheet.pdf
DOI: 10.57745/rsujs4
title: L611000100_incertitude_datasheet.pdf
DOI: 10.57745/wkqlaq
title: P138000000_incertitude_datasheet.pdf
DOI: 10.57745/zjeprq
title: Q052253001_incertitude_datasheet.pdf
DOI: 10.57745/zlwhla
title: U132040000_incertitude_datasheet.pdf
DOI: 10.57745/4divz0
title: O149043000_incertitude_datasheet.pdf
DOI: 10.57745/hgvy0p
title: Y401202001_incertitude_datasheet.pdf
DOI: 10.57745/jo1nlg
title: U132401001_incertitude_datasheet.pdf
DOI: 10.57745/mz8ttb
title: L620201002_incertitude_datasheet.pdf
DOI: 10.57745/z1hysv
title: P142251001_incertitude_datasheet.pdf
DOI: 10.57745/z5bvlk
title: Y353401001_incertitude_datasheet.pdf
DOI: 10.57745/ityjsg
title: L620201201_incertitude_datasheet.pdf
DOI: 10.57745/k3zcan
title: O149431003_incertitude_datasheet.pdf
DOI: 10.57745/m7xuyq
title: Y402201001_incertitude_datasheet.pdf
DOI: 10.57745/nfhsng
title: Q061251001_incertitude_datasheet.pdf
DOI: 10.57745/utbj7z
title: P145401002_incertitude_datasheet.pdf
DOI: 10.57745/acsd1p
title: P150000101_incertitude_datasheet.pdf
DOI: 10.57745/f8qtbv
title: Y401201001_incertitude_datasheet.pdf
DOI: 10.57745/ix3fc6
title: Q061252000_incertitude_datasheet.pdf
DOI: 10.57745/lcccdq
title: U131402001_incertitude_datasheet.pdf
DOI: 10.57745/og1ri1
title: O149433001_incertitude_datasheet.pdf
DOI: 10.57745/pnvapa
title: U132402001_incertitude_datasheet.pdf
DOI: 10.57745/voy8kz
title: Y412201001_incertitude_datasheet.pdf
DOI: 10.57745/vuyq9h
title: L600071001_incertitude_datasheet.pdf
DOI: 10.57745/wxldwz
title: L621000201_incertitude_datasheet.pdf
DOI: 10.57745/vbfoan
title: Q061252001_incertitude_datasheet.pdf
DOI: 10.57745/zhb93l
title: U132901001_incertitude_datasheet.pdf
DOI: 10.57745/dujwvn
title: Q066402002_incertitude_datasheet.pdf
DOI: 10.57745/2ya1ez
title: P151000100_incertitude_datasheet.pdf
DOI: 10.57745/or1b1v
title: O149433100_incertitude_datasheet.pdf
DOI: 10.15468/dl.yj5xkh
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Katsuwonus pelamis (Linnaeus, 1758)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 79 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025887-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b6dk8q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scomber pelamis Brünnich, 1768",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025889-241126133413365/datasets/export for details.
DOI: 10.15468/dl.3bbttk
title: Occurrence Download

description: A dataset containing 36013 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1901-1920"
 ]
}

 The dataset includes 36013 records from 178 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025888-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10617124
title: Data for "Idoneal genera and K3 surfaces covering an Enriques surface"
DOI: 10.5281/zenodo.10617125
title: Data for "Idoneal genera and K3 surfaces covering an Enriques surface"
DOI: 10.5281/zenodo.14290043
title: Data from: Event-based reconstruction of time-resolved centreline deformation of flapping flags

description: This directory contains open-source data and code obtained at the UNFoLD laboratory at EPFL. This code implements a new tracking method for fast deformation of flapping flags using an event-based camera. Sampled data from experimental results as well as simulated data are included in the repository to be directly used with the code.

The method implemented by the code is described in the paper



Raynaud, G., & Mulleners, K. (2024). Event-based reconstruction of time-resolved centreline deformation of flapping flags. arXiv preprint arXiv:2409.08939.


The data structure is described in the readme.md.
DOI: 10.5281/zenodo.14290044
title: Data from: Event-based reconstruction of time-resolved centreline deformation of flapping flags

description: This directory contains open-source data and code obtained at the UNFoLD laboratory at EPFL. This code implements a new tracking method for fast deformation of flapping flags using an event-based camera. Sampled data from experimental results as well as simulated data are included in the repository to be directly used with the code.

The method implemented by the code is described in the paper



Raynaud, G., & Mulleners, K. (2024). Event-based reconstruction of time-resolved centreline deformation of flapping flags. arXiv preprint arXiv:2409.08939.


The data structure is described in the readme.md.
DOI: 10.6084/m9.figshare.27991403
title: Example

description: This is an example which includes wo machines which produce two products through two periods.
DOI: 10.6084/m9.figshare.27991403.v2
title: Example

description: This is an example which includes wo machines which produce two products through two periods.
DOI: 10.6084/m9.figshare.27991403.v1
title: Example

description: This is an example which includes wo machines which produce two products through two periods.
DOI: 10.15468/dl.z9mhte
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Capsala katsuwoni (Ishii, 1936) Price, 1938",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025890-241126133413365/datasets/export for details.
DOI: 10.57745/h7bf4d
title: U132902001_incertitude_datasheet.pdf
DOI: 10.57745/5qafay
title: Y412202001_incertitude_datasheet.pdf
DOI: 10.57745/g74ofi
title: Q071000100_incertitude_datasheet.pdf
DOI: 10.57745/oddpzl
title: P152000100_incertitude_datasheet.pdf
DOI: 10.57745/ousddx
title: Explore2_Notice_fiche_incertitude_VF.pdf
DOI: 10.57745/owpkyh
title: Q068025000_incertitude_datasheet.pdf
DOI: 10.57745/wcckzi
title: L621000402_incertitude_datasheet.pdf
DOI: 10.57745/gdh9y1
title: U132903100_incertitude_datasheet.pdf
DOI: 10.57745/a4h9rm
title: U133401001_incertitude_datasheet.pdf
DOI: 10.57745/psqgs6
title: J001401001_incertitude_datasheet.pdf
DOI: 10.1594/pangaea.973797
title: Vegetation and soil properties in subalpine and alpine belts in the Tatra Mountains

description: The data present characteristics of the spatial pattern of vegetation in the Kocioł Świński Goryczkowy (upper part of the Goryczkowa Świńska Valley) and the Kocioł Gąsienicowy (the upper part of the Sucha Woda Valley), in the Tatra Mts. In the Kocioł Świński Goryczkowy the study area was located at between 1640 and 1890 m a.s.l. in the alpine and subalpine belt, while in the Kocioł Gąsienicowy it was located between1820 and 1970 m a.s.l. in the alpine belt. Vegetation data were collected on phytosociological releves at study plots. The data were collected during field surveys in June-August period in 1992-1993. The Braun-Blanquet scale was used to assess species cover. Soil samples were collected at the same site. The following properties of the soil samples were analysed in the laboratory: grain size composition by sieve method and the Bouycousa areometric method of in modification of Casagrande, conductivity and pH by potentiometry. In addition, pH and conductivity were measured in the field twice a year (spring and autumn) using a Hach 01 pH meter and Hach 01 conductometer. Data on vegetation, soils and geomorphological processes were used to identify a linkage between vegetation and relief.
description: Data were collected during field research funded by the Institute of Geography and Spatial Organisation of the Polish Academy of Sciences and the project of Committee for Scientific Research.Species vegetation cover is given according to the Braun-Blanquet scale:+ - &lt;5%; few individuals, 1 - &lt;5%; numerous individuals, 2 - 5%-25%, 3 - 25%-50%, 4 - 50%-75%, 5 - 75%-100%Vegetation types as given in the dataset table are:a - Oreochloo distichae-Juncetum trifidi typicumb - Oreochloo distichae-Juncetum trifidi typicum mossy formc - Oreochloo distichae-Juncetum trifidi typicum moss form in transition to salicetosum herbaceaed - Oreochloo distichae-Juncetum trifidi caricetosum sempervirentise - Oreochloo distichae-Juncetum trifidi caricetosum sempervirentis form with Vacciniumf - Oreochloo distichae-Juncetum trifidi pioneer form with Luzula spadiceag - Oreochloo distichae-Juncetum trifidi form with Luzula spadiceah - Luzuletum spadiceaei - "Vaccinietum myrtilli"j - anthropogenic rich swardk - anthropogenic community with Alchemilla sp.l - Oreochloo distichae-Juncetum trifidi sphagnetosumm - Oreochloo distichae-Juncetum trifidi typicum form with Vaccinium myrtillusn - Oreochloo distichae-Juncetum trifidi post-grazing subalpine formo - Oreochloo distichae-Juncetum trifidi post-grazing subalpine form with Calamagrostis villosap - Calamagrostietum villosae tatricumq - Festuca picta - community
DOI: 10.15468/dl.8ur9ar
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Caballerocotyla llewelyni Kohn & Justo, 2006",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025892-241126133413365/datasets/export for details.
DOI: 10.15468/dl.d63cjt
title: Occurrence Download

description: A dataset containing 35062 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Occurrence evidence)",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1901-1920"
 ]
}

 The dataset includes 35062 records from 176 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025891-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tefm5e
title: Occurrence Download

description: A dataset containing 282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Macaca mulatta (Zimmermann, 1780)"
 ]
}

 The dataset includes 282 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025894-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c6u4ak
title: Occurrence Download

description: A dataset containing 10220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sula leucogaster (Boddaert, 1783)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10220 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025893-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14328566
title: Climatological Overview: September 2024 - Chios

description: September 2024 marked a gradual transition from the warm summer conditions to autumn, with notable events such as heavy rainfall mid-month. Below is a summary of the climatological data for the month.



Temperature:



Average temperature: 24.8°C

Highest temperature: 34.7°C on September 5

Lowest temperature: 16.6°C on September 17

Days with temperatures ≥ 32°C: 5 days




Rainfall:



Total rainfall: 131.2 mm

Day with maximum rainfall: 113.79 mm on September 11

Days with measurable rainfall (>0.2 mm): 3 days

Days with rainfall > 2 mm: 2 days

Days with rainfall > 20 mm: 1 day




Wind:



Average wind speed: 7.3 km/h

Maximum wind speed: 57.9 km/h on September 11

Dominant wind direction: West (W)




Conclusion:

September 2024 was characterized by high temperatures at the beginning of the month and significant rainfall mid-month. The intense rainfall on September 11 stands out as the month’s most notable weather event, accompanied by strong winds. These changing conditions highlight the onset of the autumn season.
DOI: 10.5281/zenodo.14328567
title: Climatological Overview: September 2024 - Chios

description: September 2024 marked a gradual transition from the warm summer conditions to autumn, with notable events such as heavy rainfall mid-month. Below is a summary of the climatological data for the month.



Temperature:



Average temperature: 24.8°C

Highest temperature: 34.7°C on September 5

Lowest temperature: 16.6°C on September 17

Days with temperatures ≥ 32°C: 5 days




Rainfall:



Total rainfall: 131.2 mm

Day with maximum rainfall: 113.79 mm on September 11

Days with measurable rainfall (>0.2 mm): 3 days

Days with rainfall > 2 mm: 2 days

Days with rainfall > 20 mm: 1 day




Wind:



Average wind speed: 7.3 km/h

Maximum wind speed: 57.9 km/h on September 11

Dominant wind direction: West (W)




Conclusion:

September 2024 was characterized by high temperatures at the beginning of the month and significant rainfall mid-month. The intense rainfall on September 11 stands out as the month’s most notable weather event, accompanied by strong winds. These changing conditions highlight the onset of the autumn season.
DOI: 10.18462/iir.nh3-co2.2021.0019
title: Multi Ejector and pivoting-supported R744 application with AC for supermarkets.
DOI: 10.21227/xtep-hv36
title: 5G-NIDD: A Comprehensive Network Intrusion Detection Dataset Generated over 5G Wireless Network

description: With a plethora of new connections, features, and services introduced, the 5th generation (5G) wireless technology reflects the development of mobile communication networks and is here to stay for the next decade. The multitude of services and technologies that 5G incorporates have made modern communication networks very complex and sophisticated in nature. This complexity along with the incorporation of Machine Learning (ML) and Artificial Intelligence (AI) provides the opportunity for the attackers to launch intelligent attacks against the network and network devices. These attacks often traverse undetected due to the lack of intelligent security mechanisms to counter these threats. Therefore, the implementation of real-time, proactive, and self-adaptive security mechanisms throughout the network would be an integral part of 5G as well as future communication systems. Therefore, large amounts of data collected from real networks will play an important role in the training of AI/ML models to identify and detect malicious content in network traffic. This work presents 5G-NIDD, a fully labeled dataset built on a functional 5G test network that can be used by those who develop and test AI/ML solutions.5G-NIDD contains data extracted from a 5G testbed. The testbed is attached to 5G Test Network in University of Oulu, Finland. The data are extracted from tow base stations, each having an attacker node, several benign 5G users. The attacker nodes attack the server deployed in 5GTN MEC environment. The attack scenarios include DoS attacks and port scans. Under DoS attacks, the dataset contains CMP Flood, UDP Flood, SYN Flood, HTTP Flood, and Slowrate DoS. Under port scans, the dataset contains SYN Scan, CP Connect Scan, and UDP Scan.The dataset files are available in different formats. These files belong to a series of post-processing steps from network capture (pcapng) to encoded data (csv) ready to feed ML algorithms.
DOI: 10.24432/c5bw33
title: Online Retail
DOI: 10.24432/c5cg6d
title: Online Retail II
DOI: 10.3886/icpsr08611.v1
title: Electoral Data for Counties in the United States: Presidential and Congressional Races, 1840-1972
title: Version 1

description: This collection contains county-level returns for elections to the United States presidency and to the United States House of Representatives for the years 1840 to 1972. The variables for the presidential vote include the percentages of ballots cast for major and "significant" minor party candidates (with residual votes collapsed into an "other" category), total numbers of votes for all candidates in an election, and estimates of voter turnout in the presidential elections. There are similar variables for the congressional vote except that returns are reported for parties and not for candidates. Congressional district numbers are also reported for each county for every election.
description: Datasets: DS1: Electoral Data for Counties in the United States: Presidential and Congressional Races, 1840-1972
description: Population of United States voters in presidential and congressional elections, 1840-1972.
description: The variable V3 (COUNTY IDENTIFICATION NO) is not necessarily equivalent to the FIPS code for a given county.Some of the data in this collection were compiled from ICPSR 0003. Since the time of this data collection's first release, ICPSR 0003 has been updated and is available as ICPSR 2896 (HISTORICAL, DEMOGRAPHIC, ECONOMIC, AND SOCIAL DATA: THE UNITED STATES, 1790-2000). Users of the current data collection should check ICPSR 2896 for specific information about updates that may affect the analysis of the data in this collection.
DOI: 10.5281/zenodo.13168796
title: Localized ultra-low velocity zone as a strong scatterer at the core-mantle boundary beneath Central America
DOI: 10.5517/cc5v57d
title: CCDC 174103: Experimental Crystal Structure Determination

description: Related Article: M.Nieger, B.Schinkels, E.Niecke|2001|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.