cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.g8cqi3
title: Occurrence Download

description: A dataset containing 386 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macaca sylvanus (Linnaeus, 1758)"
 ]
}

 The dataset includes 386 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029229-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpum9b
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elatostema scaposum Q.Lin & L.D.Duan"
 ]
}

 The dataset includes 7 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042672-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71795/v4k8-sb07
title: Liste d'autorités Périodes - Joconde
DOI: 10.25318/4210009301-eng
title: Proportion of centre-based child care providers with at least one employee providing direct care to children enrolled, April 2022, Canada

description: Proportion of centre-based child care providers with at least one employee providing direct care to children and the average number of employees providing care to children, by age group, Canada.
DOI: 10.15468/dl.qbc2wb
title: Occurrence Download

description: A dataset containing 324745 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is BeeWalk bumblebee distributions for Great Britain 2008-2022"
 ]
}

 The dataset includes 324745 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001995-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4kqed
title: Occurrence Download

description: A dataset containing 1530 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((3.46853 43.26524,4.36194 43.47594,4.5004 43.8688,4.28502 44.03812,3.73491 44.10309,3.21253 43.72128,3.46853 43.26524))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Dactylis glomerata L.",
 "Year 2015-2025"
 ]
}

 The dataset includes 1530 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002000-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15130378
title: Complex eigenvalues for driven-dissipative hard-core bosons in 1D

description: We upload here the raw data of the eigenvalues used in the paper "On the non-integrability of driven-dissipative one-dimensional hard-core bosons" in order to calculate complex spatial ratios and marginal statistics.

All datasets are stored in .npy-files and were generated with a python script. Scripts to create the plots in the paper out of the raw data are send on request.

These datasets are:

fig1: fig1+5_xx_L_12_M_1_P_0_gp_8_gl_10.npy

fig2:

fig2_xx_L_10_M_4_P_0_gp10_1_gl10_10.npy

fig2_xx_L_10_M_4_P_0_gp10_5_gl10_10.npy

fig2_xx_L_10_M_4_P_0_gp10_10_gl10_10.npy

fig2+3_xx_L_10_M_4_P_0_gp10_50_gl10_10.npy

 

fig3:

fig3_xx_L_10_M_6_P_0_gp10_50_gl10_10.npy

fig3_xx_L_10_M_5_P_0_gp10_50_gl10_10.npy

fig2+3_xx_L_10_M_4_P_0_gp10_50_gl10_10.npy

fig3_xx_L_10_M_3_P_0_gp10_50_gl10_10.npy

 

fig4:

fig4_xx_L_10_M_3_P_0_gp100_1_gl100_10.npy

 

fig5:

fig1+5_xx_L_12_M_1_P_0_gp_8_gl_10.npy

fig1_AI_N_4096_samples_1024.npy
DOI: 10.15468/dl.qx57kc
title: Occurrence Download

description: A dataset containing 34618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Charadrius alexandrinus Linnaeus, 1758",
 "Year 1975-2025"
 ]
}

 The dataset includes 34618 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002001-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9js7tb
title: Occurrence Download

description: A dataset containing 585389 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (AUT, DEU, POL, SVK, CZE, HUN)",
 "TaxonKey is Orthoptera"
 ]
}

 The dataset includes 585389 records from 464 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001994-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/4210009301-fra
title: Proportion de fournisseurs de services de garde d’enfants en centre comptant au moins un employé s’occupant directement des enfants inscrits, avril 2022, Canada

description: Proportion de fournisseurs de services de garde d’enfants en centre comptant au moins un employé s’occupant directement des enfants et nombre moyen d’employés s’occupant des enfants, selon le groupe d’âge, Canada.
DOI: 10.5281/zenodo.15125256
title: Female summary statistics from "Role of X chromosome and dosage compensation mechanisms in complex trait genetics"

description: Full female summary statistics generated in "Role of X chromosome and dosage compensation mechanisms in complex trait genetics". 

For UK biobank (UKB), GWAS were performed using BOLT-LMM v2.3.2. The files contain the following columns:



SNP: rs number or ID string

CHR: chromosome

BP: base pair position mapped to assembly GRCh37

GENPOS: genetic position either from bim file or interpolated from genetic map

ALLELE1: first allele in bim file (usually the minor allele), used as the effect allele

ALLELE0: second allele in bim file, used as the reference allele

A1FREQ: frequency of first allele

F_MISS: frequency of first allele

CHISQ_LINREG: standard linear regression chi-square statistics

P_LINREG: standard linear regression p-value

BETA: effect size from BOLT-LMM approximation to infinitesimal mixed model

SE: standard error of effect size

CHISQ_BOLT_LMM_INF: infinitesimal mixed model association test chi-square statistics

P_BOLT_LMM_INF: infinitesimal mixed model association test p-value

CHISQ_BOLT_LMM: non-infinitesimal mixed model association test chi-square statistics

P_BOLT_LMM: non-infinitesimal mixed model association test p-value


For FinnGen R10 (FG), GWAS were performed using REGENIE v2.2.4 pipeline. The files contain the following columns:



#chrom: chromosome

pos: base pair position mapped to assembly GRCh38

ref: reference allele

alt: alternative allele

pval: analysis p-value

mlogp: -log10(p-value)

beta: effect size of alternate allele

sebeta: standard error of effect size

af_alt: allele frequency of the alternative allele
DOI: 10.5281/zenodo.15125257
title: Female summary statistics from "Role of X chromosome and dosage compensation mechanisms in complex trait genetics"

description: Full female summary statistics generated in "Role of X chromosome and dosage compensation mechanisms in complex trait genetics". 

For UK biobank (UKB), GWAS were performed using BOLT-LMM v2.3.2. The files contain the following columns:



SNP: rs number or ID string

CHR: chromosome

BP: base pair position mapped to assembly GRCh37

GENPOS: genetic position either from bim file or interpolated from genetic map

ALLELE1: first allele in bim file (usually the minor allele), used as the effect allele

ALLELE0: second allele in bim file, used as the reference allele

A1FREQ: frequency of first allele

F_MISS: frequency of first allele

CHISQ_LINREG: standard linear regression chi-square statistics

P_LINREG: standard linear regression p-value

BETA: effect size from BOLT-LMM approximation to infinitesimal mixed model

SE: standard error of effect size

CHISQ_BOLT_LMM_INF: infinitesimal mixed model association test chi-square statistics

P_BOLT_LMM_INF: infinitesimal mixed model association test p-value

CHISQ_BOLT_LMM: non-infinitesimal mixed model association test chi-square statistics

P_BOLT_LMM: non-infinitesimal mixed model association test p-value


For FinnGen R10 (FG), GWAS were performed using REGENIE v2.2.4 pipeline. The files contain the following columns:



#chrom: chromosome

pos: base pair position mapped to assembly GRCh38

ref: reference allele

alt: alternative allele

pval: analysis p-value

mlogp: -log10(p-value)

beta: effect size of alternate allele

sebeta: standard error of effect size

af_alt: allele frequency of the alternative allele
DOI: 10.25921/x46c-3620
title: Hourly location, current velocity, and temperature collected from Global Drifter Program drifters world-wide

description: This dataset includes sea surface temperature and current data collected by satellite-tracked surface drifting buoys ("drifters") for the NOAA Global Drifter Program. The Drifter Data Assembly Center (DAC) at Atlantic Oceanographic and Meteorological Laboratory (AOML) has applied quality control procedures to edit these data (position and temperature) and interpolated them to 1-hour intervals using an optimum interpolation procedure. The data include positions (latitude and longitude), sea surface temperatures, and velocities (eastward, northward) with accompanying error estimates. Metadata include identification numbers, experiment number, start location and time, end location and time, drogue loss date, death code, manufacturer, and drifter type.
DOI: 10.25921/rtf0-q898
title: GHRSST NOAA/STAR GOES-16 ABI L3C America Region SST v2.70 dataset (GDS version 2)

description: The ACSPO G16/ABI L3C (Level 3 Collated) product is a gridded version of the ACSPO G16/ABI L2P product. The L3C output files are 1hr granules in netCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). There are 24 granules per 24hr interval, with a total data volume of 0.2GB/day. Fill values are reported at all invalid pixels, including pixels with 5 km inland. For each valid water pixel (defined as ocean, sea, lake or river, and up to 5 km inland), the following layers are reported: SSTs, ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags), NCEP wind speed, and ACSPO SST minus reference (Canadian Met Centre 0.1deg L4 SST). All valid SSTs in L3C are recommended for users. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with valid SST. The ACSPO VIIRS L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in SQUAM (Dash et al, 2010).
DOI: 10.25921/6yga-qb89
title: GHRSST NOAA/STAR GOES-17 ABI L2P America Region SST v2.71 dataset (GDS version 2)

description: GOES-17 (G17) is the second satellite in the US NOAA's GOES-R series. It was launched on 1 Mar 2018 in an interim position at 89.5-deg W for initial Cal/Val, moved to its nominal position at 137.2-deg W in Nov 2018, and declared NOAA operational GOES-West satellite on 12 Feb 2019. Advanced Baseline Imager (ABI) is a 16 channel sensor, of which five (3.9, 8.4, 10.3, 11.2, 12.3 um) are suitable for SST. From altitude 35,800km, G17/ABI maps SST in a Full Disk (FD) area from 163E-77W and 60S-60N, with spatial resolution 2km/nadir to 15km/VZA 67-deg, and 10-min temporal sampling. The ABI L2P SST is derived at the native sensor resolution using NOAA ACSPO system. ACSPO processes every 10-min FD, identifies good-quality ocean pixels (Petrenko et al., 2010) and derives SST using Non-Linear SST (NLSST) algorithm (Petrenko et al., 2014). Unfortunately, the G17 ABI loop heat pipe (LHP) that should maintain the ABI at its intended temperature, is not operating at its designed capacity, which required mitigations to the ACSPO algorithms and releasing an updated ACSPO version 2.71 (Pennybacker et al, 2019). In particular, band 11.2um, most subject to calibration problems, is not used leading to a 3-band (8.4, 10.3, and 12.3um) NLSST, and increased calibration problems prevent SST retrievals at night. As a result, the G17 SST is only reported for 13 out of 24hrs/day, from 20UTC to 08UTC. The 10-min FD data are subsequently collated in time, to produce 1-hr product, with improved coverage and reduced cloud leakages and image noise. The collation algorithm also reduces G17 excessive sensor noise and striping to levels similar to G16. The collated SSTs are only reported over clear-sky water pixels. All pixels with valid SSTs are recommended for use. The L2P is reported in NetCDF4 GDS2 format, 13 granules per day, with a total data volume 0.3GB/day. ACSPO files also report sun-sensor geometry, wind speed and l2p_flags (day/night, land, ice, twilight, glint flags). Per GDS2 specifications, two Sensor-Specific Error Statistics (bias and standard deviation) are reported in each pixel (Petrenko et al., 2016). Pixel earth locations are not reported in the granules, as they remain unchanged from granule to granule. Those can be obtained using a flat lat/lon file or a Python script (see Documentation page). The ACSPO G17 ABI SSTs are continuously validated in SQUAM (Dash et al, 2010). A reduced size (0.1GB/day), 0.02-deg equal-angle gridded L3C product is also available.
DOI: 10.25921/4cs0-ym62
title: GHRSST NOAA/STAR GOES-17 ABI L3C America Region SST v2.71 dataset (GDS version 2)

description: The ACSPO G17/ABI L3C (Level 3 Collated) product is a gridded version of the ACSPO G17/ABI L2P product. The L3C output files are 1hr granules in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). Due to the loop heat pipe (LHP) issue on G17 ABI, there are only 13 granules available per 24hr interval, from 20UTC to 08UTC, followed by a break from 09UTC to 19UTC, with a total data volume of 0.1GB/day. Valid SSTs are found over oceans, sea, lakes or rivers, with fill values reported elsewhere. The following additional layers are also reported: SST, ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags), NCEP wind speed and ACSPO SST minus reference (Canadian Met Centre 0.1deg L4 SST). All valid SSTs in L3C are recommended for users, although data over internal waters may not have enough in situ data to be adequately validated. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (bias and standard deviation) are reported in each pixel with valid SST. The ACSPO VIIRS L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in SQUAM (Dash et al, 2010).
DOI: 10.25921/sr4z-pj22
title: GHRSST L2P NOAA/ACSPO GOES-18/ABI West America Region Sea Surface Temperature v2.90 dataset (GDS version 2)

description: The G18-ABI-L2P-ACSPO-v2.90 dataset produced by the NOAA ACSPO system is used to derive Subskin and Depth Sea Surface Temperature (SST) from the ABI onboard the G18 satellite. NOAA’s G18 (aka, GOES-T pre-launch) was launched on March 1, 2022, replacing the G17 as GOES West in Jan'2023. It is the third satellite in the US GOES–R Series, the Western Hemisphere’s most sophisticated weather-observing and environmental-monitoring system. The ABI is the primary instrument on the GOES-R Series for imaging Earth’s weather, oceans, and environment.

G18/ABI maps SST in a Full Disk (FD) area from 163E-77W and 60S-60N, with a spatial resolution of 2km/nadir to 15km/VZA 67-deg, and 10-min temporal sampling. The 10-min FD data are subsequently collated in time, to produce the 1-hr product, with improved coverage and reduced cloud leakages and image noise. The L2P is produced in netCDF4 GDS2 format, with 24 granules per day, and a total data volume 0.8 GB/day. The near-real time (NRT) data are updated hourly, with several hours latency. The NRT files are replaced with Delayed Mode (DM) files, with a latency of ~2-months. File names remain unchanged, and DM vs NRT can be identified by different time stamps and global attributes inside the files (MERRA instead of GFS for atmospheric profiles, and same day CMC L4 analyses in DM instead of one-day delayed in NRT processing).

Pixel earth locations are not reported in the granules, as they remain unchanged from granule to granule. Those can be obtained using a flat lat/lon file or a Python script available at Documents tab under How-To section. The ACSPO G18 ABI SSTs are validated against quality controlled in situ data from the NOAA iQuam system (Xu and Ignatov, 2014) and continuously monitored in NOAA SQUAM system (Dash et al, 2010). A 0.02-deg equal-angle gridded L3C product 0.7GB/day) is also available.
DOI: 10.25921/jaxf-9b11
title: GHRSST L3C NOAA/ACSPO GOES-18/ABI West America Region Sea Surface Temperature v2.90 dataset (GDS version 2)

description: The G18-ABI-L3C-ACSPO-v2.90 dataset produced by the NOAA ACSPO system is used to derive Subskin and Depth Sea Surface Temperature (SST) from the ABI sensor onboard the G18 satellite. NOAA’s G18 (aka GOES-T before launch) was launched on March 1, 2022, replacing G17 as GOES West in Jan'2023. It is the third satellite in the US GOES–R Series, the Western Hemisphere’s most sophisticated weather-observing and environmental-monitoring system. The ABI is the primary instrument on the GOES-R Series for imaging Earth’s weather, oceans, and environment.

The G18-ABI-L3C-ACSPO-v2.90 dataset is a gridded version of the G18-ABI-L2P-ACSPO-v2.90 dataset. The L3C (Level 3 Collated) outputs 24 hourly granules per day, with a daily volume of 0.7 GB/day. Valid SSTs are found over oceans, sea, lakes or rivers, with fill values reported elsewhere. All valid SSTs in L3C are recommended for users, although data over internal waters may not have enough in situ data to be adequately validated. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (bias and standard deviation) are reported in each pixel with valid SST.

The ACSPO G18/ABI L3C product is validated against iQuam in situ data (Xu and Ignatov, 2014) and continuously monitored in the NOAA SQUAM system (Dash et al, 2010). The NRT files are replaced with Delayed Mode (DM) files, with a latency of ~2-months. File names remain unchanged, and DM vs NRT can be identified by different time stamps and global attributes inside the files (MERRA instead of GFS for atmospheric profiles, and same day CMC L4 analyses in DM instead of one-day delayed in NRT processing).
DOI: 10.25921/mzv0-km10
title: GHRSST NOAA/STAR Himawari-08 AHI L2P Pacific Ocean Region SST v2.70 dataset (GDS version 2)

description: Himawari-8 (H08) was launched on 7 October 2014 into its nominal position at 140.7-deg E, and declared operational on 7 July 2015. The Advanced Himawari Imager (AHI; largely identical to GOES-R/ABI) is a 16 channel sensor, of which five (3.9, 8.4, 10.3, 11.2, and 12.3 um) are suitable for SST. Accurate sensor calibration, image navigation and (co)registration, high spectral fidelity, and sophisticated pre-processing (geo-rectification, radiance equalization, and mapping) offer vastly enhanced capabilities for SST retrievals, over the heritage GOES-I/P and MTSAT-2 Imagers. From altitude 35,800km, H08/AHI maps SST in a Full Disk (FD) area from 80E-160W and 60S-60N, with spatial resolution 2km at nadir to 15km at view zenith angle 67-deg, with a 10-min temporal sampling. The AHI L2P (swath) SST product is derived at the native sensor resolution using NOAA's Advanced Clear-Sky Processor for Ocean (ACSPO) system. ACSPO processes every 10-min FD data, identifies good quality ocean pixels (Petrenko et al., 2010) and derives SST using the four-band (8.4, 10.3, 11.2 and 12.3um) Non-Linear SST (NLSST) regression algorithm (Petrenko et al., 2014), trained against in situ SSTs from drifting and tropical mooring buoys in the NOAA iQuam system (Xu and Ignatov, 2014). The 10-min data are subsequently collated in time, to produce 1-hr L2P product, with improved coverage, and reduced cloud leakages and image noise. The collated L2P reports SSTs and brightness temperatures (BTs) in clear-sky water pixels (defined as ocean, sea, lake or river), and fill values elsewhere. All pixels with valid SSTs are recommended for use. ACSPO files also include sun-sensor geometry, l2p_flags (day/night, land, ice, twilight, and glint flags), and NCEP wind speed. The L2P is reported in NetCDF4 GHRSST Data Specification version 2 (GDS2) format, 24 granules per day, with a total data volume 0.6GB/day. Pixel earth locations are not reported in the granules, as they remain unchanged from granule to granule. Those can be obtained using a flat lat/lon file or a Python script (see Documentation page). Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel (Petrenko et al., 2016). The H08 AHI SSTs and BTs are continuously validated against in situ data in SQUAM (Dash et al, 2010), and RTM simulation in MICROS (Liang and Ignatov, 2011). A reduced size (0.2GB/day), 0.02-deg equal-angle gridded ACSPO L3C product is also available.
DOI: 10.25921/p1y5-yv98
title: GHRSST NOAA/STAR Himawari-08 AHI L3C Pacific Ocean Region SST v2.70 dataset (GDS version 2)

description: The ACSPO H08/AHI L3C (Level 3 Collated) product is a gridded version of the ACSPO H08/AHI L2P product. The L3C output files are 1hr granules in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). There are 24 granules available per 24hr interval, with a total data volume of 0.2GB/day. Valid SSTs are found over clear-sky oceans, sea, lakes or rivers, with fill values reported elsewhere. The following layers are reported: SST, ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags), NCEP wind speed and ACSPO SST minus reference (Canadian Met Centre 0.1deg L4 SST). All valid SSTs in L3C are recommended for users, although data over internal waters may not have enough in situ data to be adequately validated. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (bias and standard deviation) are reported in each pixel with valid SST (Petrenko et al., 2016). The ACSPO VIIRS L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in SQUAM (Dash et al, 2010).