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Data used in the Article: Plant response to nutrients differs among traits and depends on species’ nutrient requirements
No full textThis repository contains the data used for the article:
"Plant response to nutrients differs among traits and depends on species’ nutrient requirements"
To be published in Annals of Botany in 2025
It contains four files:
- a README.md file
- Metadata: "Delalandre2025AnnBotMetadata.csv", a file describing the columns of the data files;
- Information on species: "Delalandre2025AnnBotSpecies.csv";
- Trait data: `Delalandre2025AnnBotTraits.csv`
Extinct Theropithecus from Ahl al Oughlam, Morocco
No full textThis dataset contains dental microwear surfaces (on both crushing and shearing molar facets) of extinct specimens of Theropithecus from the Ahl Al Oughlam, an early Pleistocene site from Morocco
Replication data for: Fig 5.14, BTPDs, weaning vs within-coterie synchrony, 03 Nov 2025
No full textFILE DESCRIPTION
Keywords: black-tailed prairie dog, synchrony of weaning date
File name: Fig 5.14, BTPDs, Weaning vs within-coterie synchrony, 03 Nov 2025
Old file name: Cotsync4.sys, a SYSTAT file that I created on 02 Nov 1991? Or 06 Jan 1992?
Female's date of estrus and copulation = date of her underground consortships (See chapter 15)
Coterie designation = temporary name for coterie per year
for this file. These designations are for my convenience.
Synchrony score = 2 = period when most of females in coterie copulated
Synchrony score = 1 = 4 or more days EARLIER than the copulations for the more synchronous females
Synchrony score = 3 = 4 or more days LATER than the copulations for the more synchronous females
Litter size = litter size at first emergence of offspring from their natal nursery-burrow = number of weanlings.
Yearlings = number of weanlings that survive for >= 9 months after first emergence
Litter or no litter = 0 = female did NOT wean a litter
Litter or no litter = 1 = female DID wean a litter
Mean juvenile body mass = mean of all body mass of juveniles from the same litter.
All data in this file are from coteries in which a minimum of three females came into estrus.
Within coteries that contained >=3 females that came into estrus, some did NOT have a female
with a Synchrony score of 1 and some did NOT have a female with a score of 3. See Fig 5.13
to verify the fact just affirmed.
All data in Fig 5.14 have been checked TWO TIMES for Hoogland 1995 (page 321), but I cannot
find the numbers to verify the trends shown in Fig 5.14.
Evidently I looked at the computer file at creation in 1991 or 1992, and then for coteries with
>=3 females that came into estrus I assigned a Synchrony score of 1, 2, or 3 for each female
that came into estrus. And that's why the coterie designations are in this file.
I could that again now with the data in this EXCEL file, but will not bother--because I did that
in 1991 or 1992 for Fig 13.24(Top) of Hoogland 1995, and I checked the information TWO TIMES.
To summarize: All the data in Fig 5.14 are correct and have been checked TWO TIMES, and all the
data to re-construct Fig 5.14 are in this EXCEL file.
These data used for Fig 5.14 in Hoogland 2026.
This file ready for longterm storage on 24 May 2025.
File name: Fig 5.14, BTPDs, Weaning vs within-coterie synchrony, 24 May 202
Suivi de l'ichtyofaune du Parc naturel marin du Golfe du Lion (PNMGL) : indice FAST
No full textAu sein de Parc naturel marin du golfe du Lion, l'échantillonnage visuel des poissons par la méthode FAST (Fish Assemblage Sampling Technique) développée par le professeur Patrice FRANCOUR de l’Université de Nice-Sophia Antipolis – ECOMERS est utilisée depuis 20019 et permet d’acquérir une meilleure connaissance des peuplements de poissons sur des sites protégés ou non, fréquentés ou non.
Cette méthode repose sur l'échantillonnage au temps d'une liste d'espèces cibles en présence/absence. Par ailleurs, cette méthode de suivi est particulièrement sensible à la pression de prélèvement qui s’exerce sur les peuplements de poissons (chasse sous-marine, pêche professionnelle et de loisir).
Les informations ainsi recueillies font partie des indicateurs utiles au Parc naturel marin pour la mise en place de zones de protection renforcée (ZPR) ou de réglementations spécifiques concernant la pêche (ex : tailles, quantités, périodes)
Preaccretionary origin of clay minerals in CI chondritic objects? Insights from the Orgueil clay mineralogy and iron oxidation state
No full textPhyllosilicates are the main phases in carbonaceous Ivuna-type materials and major carriers of water (structural OH) as well as of some organic matter adsorbed on their surfaces. Understanding their formation is therefore crucial for reconstructing the history of water and carbon in the early Solar System. While typically interpreted as products of extensive aqueous alteration under asteroidal conditions, their presence in CI chondrites, whose bulk composition matches that of the solar photosphere, remains a paradox.
To investigate their formation processes, we characterized the crystal structure and proportion of phyllosilicates in the Orgueil CI meteorite using X-ray diffraction (XRD) profile modeling on oriented preparations as well as Fe valences by Mössbauer spectroscopy at room and helium temperatures. The XRD modeling confirms the presence of discrete smectite and serpentine, along with two randomly stacked (R0) mixed-layer minerals (MLMs): serpentine-mica (90%-10%) and serpentine-smectite-mica (50%-30%-20%), the latter being dominant across all size fractions. Mössbauer spectroscopy reveals that discrete serpentine and the R0 serpentine-mica MLM are Fe²⁺-rich, while the discrete smectite and the R0 serpentine-smectite-mica MLM contain 80% Fe³⁺.
The coexistence of these distinct Fe valences, the unusual serpentine-smectite-mica clay structure, the presence of mica layers within MLMs, and their structural homogeneity across size fractions appears to be incompatible with low-temperature aqueous alteration at equilibrium. Instead, they support a pre-accretionary origin for phyllosilicates, likely involving gas-grain interactions or condensation process
Carbon and nitrogen stable isotope compositions of thirteen deep-pelagic invertebrate species (Malacostraca, Cephalopoda, and Scyphozoa) sampled between 2017 and 2022 in the Bay of Biscay, Northeast Atlantic
No full textThe dataset contains carbon and nitrogen stable isotope compositions (δ13C and δ15N values, respectively) measured on a total of 730 individuals (corresponding to 127 analytical samples) belonging to 13 deep-pelagic invertebrates species (Systellaspis debilis, Ephyrina figueirai, Acanthephyra pelagica, Pasiphaea sivado, Pasiphaea multidentata, Meganyctiphanes norvegica, Sergia robusta, Haliphron atlanticus, Teuthowenia megalops, Histioteuthis reversa, Todarodes sagittatus, Atolla vanhoeffeni and Periphylla periphylla) collected on the Bay of Biscay slope, Northeast Atlantic. Organisms sampling was carried out by pelagic trawl in canyons of the continental slope of the Bay of Biscay during EVHOE scientific cruises ("Evaluation Halieutique de l'Ouest de l'Europe"; https://doi.org/10.18142/8), in autumn between 2017 and 2022. Trawls were conducted at night between 370 and 2000 m depth. Each haul was conducted at a selected depth. The average vertical mouth opening was about 24 m and the horizontal opening was about 58 m. Subsamples for stable isotope analysis were taken from the white dorsal muscle for Cephalopoda and Malacostraca, and from the whole organism for Scyphozoa. Small individuals of the same size sampled during the same trawling operation were grouped to have sufficient material for isotopic analyses. Analyses were performed using an isotope ratio mass spectrometer (Delta V Advantage with a Conflo IV interface, Thermo Scientific) coupled to an elemental analyser (Flash EA, 2000; Thermo Scientific). Results are presented in the usual δ notation relative to the deviation from international standards (PDB for δ13C values, atmospheric nitrogen for δ15N values), in parts per thousand (‰). Based on repeated measurements of USGS-61 and USGS-62, used as internal laboratory standards, the experimental analytical precision was <0.15‰ for both δ13C and δ15N values
Replication data for: Fig 10.1, Lower right, WTPDs, clan size, clan type, 09 Dec 2025
No full textFILE DESCRIPTION
Keywords: Clan size, clan type, by year, WTPDs
File name = Fig 10.1, Lower right, WTPDs, clan size, clan type, 09 Dec 2025
OLDFile name = WTPDs, Clan size, clan type, by year, 11 Feb 2025 TYPE vs Fem ARS, 26 Sept 2021
I started this file from WTPDs, Clan size vs Fem ARS, 01 Sept 2021
See details for WTPDs, Clan size vs Fem ARS, 01 Sept 2021, immediately below
Info on Clan type has been checked TWO TIMES on 26 Sept 2021
See below for earlier checks, for change to clansize for one clan
Clantype = 0 = No male clan = no resident sexually mature male
Clantype = 0.5 = half-male clan = two clans shared the same single sexually mature male
Clantype = 1 = one-male clan = single sexually mature male in single territory
Clantype = 2 = multi-male clan = single clan territory with >=2 sexually mature males
See Chapter 10 of Hoogland 2026 for more details about clan types.
On 01 Sept 2021, I enter information on Clan size
I check info on Clan size ONE TIME ONLY. I found only two errors, and
will not check a second time because I find NO EVIDENCE that
Clan size affects ARS of WTPD females in any positive or negative way
If a single WTPD male controlled two half-male clans, I scored
him for Clan size of BOTH CLANS.
On 26 Sept, I re-order stats per year by clansize--to make it easier to assign clantypes
Date = 14 Feb 2020
This file has now been checked TWO TIMES by JLH alone
I created this new EXCEL file from WTPD litter summaries
These data used for Figure 10.1 in Hoogland 2026.
This file ready for longterm storage on 05 Feb 2025.
File name = Fig 10.1, Lower right, WTPDs, clan size, clan type, 09 Dec 2025
Clan size = number of adults and yearlings in same territory.
These WTPD clan sizes and clan types are for MAY
If one Admale was in a clan and another Admale lived in that clan and
shared another clan, I consider the number of Admales for the first clan to be TWO.
If two Admales shared the same two clans, then I consider each clan
to have TWO Admale
Replication data for: Fig 5.10, Left side, BTPDs, Visual alarmers vs ward size. 21 Oct 2025
No full textFILE DESCRIPTION
Keywords: badger, BTPDs, visual alarmers, ward size, 21 Oct 2025
File name = Fig 5.10, Left side, BTPDs, Visual alarmers vs ward size. 21 Oct 2025
Number of visual alarmers in response to badger vs ward rank
for black-tailed prairie dogs
The number above each SEM line is the number of experiments
with the moving stuffed badger
Individual BTPDs were not marked, so I could accurately determine ward
ranks (relative ward sizes) but not exact ward sizes
Data in this EXCEL file are summaries.Raw data are in my field notes
from 1974 through 1976
Evolution des limites de la bande fluviale de la Roya de la source (Tende, France) à l'embouchure (Ventimiglia, Italie) entre 1945 et 2020
No full textCouche vectorielle polygonale (format shapefile ou geojson) représentant les limites de la bande fluviale de la Roya depuis sa source (Tende, France) à l'embouchure en mer Méditerranée (Ventimiglia, Italie) aux 4 dates (périodes) suivantes: 1945-1948; 2009-2010; 2016-2017; 2020, juste après la "tempête Alex" du 02/10/2020. Pour chacune de ces 4 dates (périodes), le nom indique la (les) dates d'acquisition des photographies aériennes, différentes de part et d'autre de la frontière. La digitalisation de la bande fluviale a été réalisée par un opérateur unique (Margot Chapuis, Université Côte d’Azur, UMR 7300 ESPACE, Nice, France). Les données hydrologiques disponibles lors de la création de ce jeu de données suggèrent l'absence de crue morphogène au sein de chaque période considérée. Ce jeu de données a été constitué dans le cadre du projet MarAlpiSedi financé dans le cadre de l'appel à projets "Crédits Scientifiques Incitatifs" 2021 d'Université Côte d'Azur
Replication data for: Fig 11.1, Lower left, GPDs, Colony sizes and compositions by year, 18 Dec 2025
No full textFILE DESCRIPTION
Keywords: Utah prairie dog, Colony sizes and colony compositions by year
File name = Fig 11.1, Lower left, GPDs, Colony sizes and compositions by year, 18 Dec 2025
Yrl = Yearling
Colony sizes are for May of each year. If a UPD was alive for any
part of May, then I used him or her in my calculation of Colony
size--unless the UPD disappeared in the first day or two of May
OLDFile name = UPDs, Colony sizes, 31 March 2020
Sexually mature/active males = sexually mature UPD males, some of them yearlings
Sexually mature female = yearling and adult UPD female, all of which copulated,
with 1-2 possible exceptions
Sexually immature yearling UPD males = yearling UPD male for which
we found no evidence for copulation from either behavior
or reproductive condition
SOME Utah males DID copulate as yearlings. If so, then I
show these sexually active yearlings males as Sexually mature males
Colony size = number of adults at yearlings at colony-site in May.
These data used for Fig 11.1 in Hoogland 2026.
This file ready for longterm storage on 15 Feb 2025.
All data from the UPD Horse Corral Colony at Bryce Canyon National Park.
Yrl = Yearling
OLDFile name = UPDs, Colsize, colcomps, babies, 13 April 2020
This file checked TWO TIMES by JLH on 31 March 2020.
Note: Counts of emergent juveniles in this EXCEL file INCLUDE weanlings never captured
Weanling = juvenile at first emergence from the natal burrow entrance = baby
Colony size = number of adults and yearlings in May
For this EXCEL file, adult = prairie dog that was >=2 years old
For this EXCEL file, yearlings were young adults that emerged from the natal nursery-burrow >9 months ago, but <20 months ago.
File name = Fig 11.1, Lower left, UPDs, Colony sizes and compositions by year, 18 Dec 202